row_id
int64 0
48.4k
| init_message
stringlengths 1
342k
| conversation_hash
stringlengths 32
32
| scores
dict |
|---|---|---|---|
39,552
|
Смоделируйте на ЯЛП Пролог карту дорог, необходимую для решения задачи
коммивояжёра (содержит города, дороги между городами и протяженности этих дорог.
Используйте для примера, например, следующую карту:
От пункта a до b - 10
От пункта a до e - 1
От пункта a до d - 4
От пункта c до b - 1
От пункта c до e - 2
От пункта c до d - 1
От пункта f до b - 15
От пункта f до d - 7
От пункта f до g - 6
От пункта g до d - 5
От пункта e до b - 3
От пункта e до d - 3
Текущий код:
% Copyright
implement main
open core
clauses
run() :-
succeed. % place your own code here
end implement main
goal
console::runUtf8(main::run).
|
6014feed10f08a90df16737a71ba247d
|
{
"intermediate": 0.3651990294456482,
"beginner": 0.3708733022212982,
"expert": 0.263927698135376
}
|
39,553
|
Unable to resolve service for type 'Microsoft.Extensions.Caching.Distributed.IDistributedCache' while attempting to activate 'Spv.Usuarios.Service.CacheService'. .net
|
8a4c14d713d7ceecf0264fb12eaaad8c
|
{
"intermediate": 0.3125639855861664,
"beginner": 0.31453925371170044,
"expert": 0.3728967607021332
}
|
39,554
|
change color of label via lua script (Defold engine)
|
a628b2e89207081d99d9084cb0069e90
|
{
"intermediate": 0.37638095021247864,
"beginner": 0.17037947475910187,
"expert": 0.4532395303249359
}
|
39,555
|
You are an expert programmer in Rust. You are given this code:
let index = Arc::new(Track::new(tracks, pseudomap, reads));
let bucket = Arc::new(DashMap::<&String, Bucket>::new());
let pocket = Arc::new(DashMap::<Pocket, Vec<String>>::new());
index.reads.par_iter().for_each(|(read, record)| {
index
.pseudomap
.get(&record.chrom)
.unwrap()
.par_iter()
.for_each(|(start, end, id)| {
if record.tx_start >= *start - BOUNDARY && record.tx_end <= *end + BOUNDARY {
// a bucket needs to be of the form:
// read:
// [(start, end)] -> read_exons
// [(start, end)] -> gene_exons
// since a read could be pseudomapped to multiple transcripts,
// the gene_exons vector will be extended with the exons of each
// transcript. After that de-duplication and sorting will be performed.
let mut b_acc = bucket.entry(read).or_insert(Bucket::default());
b_acc.id.push(id.clone());
b_acc
.gene_exons
.extend(index.tracks.get(id).unwrap().coords.clone());
b_acc.gene_exons.par_sort_unstable();
b_acc.gene_exons.dedup();
if b_acc.read_exons.is_empty() {
b_acc.read_exons = record.coords.clone();
}
} else {
bucket.entry(read).or_insert(Bucket::default());
}
});
});
your task is to improve it to be the fastest implementation. You are allowed to use any crate, trick, algorithm or modify the existing code structure
|
d8bfe21bb1383610a03a72f17eea644b
|
{
"intermediate": 0.38318440318107605,
"beginner": 0.3071266710758209,
"expert": 0.30968889594078064
}
|
39,556
|
The globe renders on initial mount but does not rerender its arcs after navigating to a different page and coming back to it....i am using next js which has fast refresh and i dont know how to make the component load as it did in the initial mount(full refresh / page reload) in the fast refresh too ie: as i navigate between pageProps: GlobeComponent.jsx: import React, { useEffect, useRef } from 'react';
import {
WebGLRenderer,
Scene,
AmbientLight,
DirectionalLight,
Color,
Fog,
PerspectiveCamera,
PointLight
} from 'three';
import { OrbitControls } from 'three/examples/jsm/controls/OrbitControls.js';
import { createGlowMesh } from 'three-glow-mesh';
import ThreeGlobe from "three-globe";
import countries from './files/globe-data-min.json';
import travelHistory from './files/my-flights.json';
import airportHistory from './files/my-airports.json';
let mouseX = 0;
let mouseY = 0;
let timeoutId;
let renderer, camera, scene, controls;
let Globe;
let frameId;
const GlobeComponent = ({ globeWidth, globeHeight, windowWidth, windowHeight }) => {
const containerRef = useRef();
let windowHalfX = windowWidth / 2;
let windowHalfY = windowHeight / 2;
// Event listeners
function onWindowResize() {
camera.aspect = windowWidth / windowHeight;
camera.updateProjectionMatrix();
windowHalfX = windowWidth;
windowHalfY = windowHeight;
renderer.setSize(windowWidth, windowHeight);
}
function onMouseMove(event) {
mouseX = event.clientX - windowHalfX;
mouseY = event.clientY - windowHalfY;
// console.log("x: " + mouseX + " y: " + mouseY);
}
// Animation
function animate() {
camera.lookAt(scene.position);
controls.update();
renderer.render(scene, camera);
frameId = requestAnimationFrame(animate);
}
useEffect(() => {
// Initialize core ThreeJS elements
function init() {
// Initialize renderer
renderer = new WebGLRenderer({ antialias: true, alpha: true });
renderer.setPixelRatio(window.devicePixelRatio);
renderer.setSize(globeWidth, globeHeight);
renderer.setClearColor(0x000000, 0);
containerRef.current.appendChild(renderer.domElement);
// Initialize scene, light
scene = new Scene();
scene.add(new AmbientLight(0xbbbbbb, 0.4));
// Initialize camera, light
camera = new PerspectiveCamera();
camera.aspect = globeWidth / globeHeight;
camera.updateProjectionMatrix();
var dLight = new DirectionalLight(0xffffff, 0.8);
dLight.position.set(-800, 2000, 400);
camera.add(dLight);
var dLight1 = new DirectionalLight(0x7982f6, 1);
dLight1.position.set(-200, 500, 200);
camera.add(dLight1);
var dLight2 = new PointLight(0x8566cc, 0.5);
dLight2.position.set(-200, 500, 200);
camera.add(dLight2);
camera.position.z = 400;
camera.position.x = 0;
camera.position.y = 0;
scene.add(camera);
// Additional effects
scene.fog = new Fog(0x535ef3, 400, 2000);
// Helpers
// const axesHelper = new THREE.AxesHelper(800);
// scene.add(axesHelper);
// var helper = new THREE.DirectionalLightHelper(dLight);
// scene.add(helper);
// var helperCamera = new THREE.CameraHelper(dLight.shadow.camera);
// scene.add(helperCamera);
// Initialize controls
controls = new OrbitControls(camera, renderer.domElement);
controls.enableDamping = true;
controls.dynamicDampingFactor = 0.01;
controls.enablePan = false;
controls.minDistance = Math.min(globeWidth, globeHeight) / 2;
controls.maxDistance = Math.min(globeWidth, globeHeight) / 2;
controls.rotateSpeed = 0.8;
controls.zoomSpeed = 1;
controls.autoRotate = false;
controls.minPolarAngle = Math.PI / 3.5;
controls.maxPolarAngle = Math.PI - Math.PI / 3;
}
// Initialize the Globe
function initGlobe() {
// Initialize the Globe
Globe = new ThreeGlobe({
waitForGlobeReady: true,
animateIn: true,
})
.hexPolygonsData(countries.features)
.hexPolygonResolution(3)
.hexPolygonMargin(0.7)
.showAtmosphere(true)
.atmosphereColor("#ffffff")
.atmosphereAltitude(0.1)
.hexPolygonColor((e) => {
if (
["KEN", "CHN", "FRA", "ZAF", "JPN", "USA", "AUS", "CAN"].includes(
e.properties.ISO_A3
)
) {
return "rgba(255,255,255, 1)";
} else return "rgba(255,255,255, 0.5)";
});
// NOTE Arc animations are followed after the globe enters the scene
timeoutId = setTimeout(() => {
Globe.arcsData(travelHistory.flights)
.arcColor((e) => {
return e.status ? "#9cff00" : "#ff2e97";
})
.arcAltitude((e) => {
return e.arcAlt;
})
.arcStroke((e) => {
return e.status ? 0.5 : 0.3;
})
.arcDashLength(0.9)
.arcDashGap(4)
.arcDashAnimateTime(1000)
.arcsTransitionDuration(1000)
.arcDashInitialGap((e) => e.order * 1)
.labelsData(airportHistory.airports)
.labelColor(() => "#ffffff")
.labelDotOrientation((e) => {
return e.text === "NGA" ? "top" : "right";
})
.labelDotRadius(0.35)
.labelSize((e) => e.size)
.labelText("city")
.labelResolution(6)
.labelAltitude(0.01)
.pointsData(airportHistory.airports)
.pointColor(() => "#ffffff")
.pointsMerge(true)
.pointAltitude(0.07)
.pointRadius(0.10);
}, 1000);
Globe.rotateX(-Math.PI * (1 / 50));
Globe.rotateY(-Math.PI * (1 / 9));
Globe.rotateZ(-Math.PI / 60);
const globeMaterial = Globe.globeMaterial();
globeMaterial.color = new Color(0x3a228a);
globeMaterial.emissive = new Color(0x220038);
globeMaterial.emissiveIntensity = 0.1;
globeMaterial.shininess = 0.7;
// NOTE Cool stuff
// globeMaterial.wireframe = true;
scene.add(Globe);
}
init();
initGlobe();
onWindowResize();
animate();
window.addEventListener('resize', onWindowResize, false);
renderer.domElement.addEventListener('mousemove', onMouseMove);
console.log("Initializing globe animation");
return () => {
clearTimeout(timeoutId);
window.removeEventListener('resize', onWindowResize);
renderer.domElement.removeEventListener('mousemove', onMouseMove);
cancelAnimationFrame(frameId);
if (containerRef.current) {
// Perform more thorough clean-up here
// Dispose of the scene's children
while (scene.children.length > 0) {
const object = scene.children[0];
if (object.dispose) {
object.dispose();
}
scene.remove(object);
}
// Dispose of the renderer and any associated resources
renderer.dispose();
// Dispose of any controls, if necessary
if (controls && controls instanceof OrbitControls && controls.dispose) {
controls.dispose();
}
if (renderer.domElement.parentNode === containerRef.current) {
// Remove the renderer DOM element
containerRef.current.removeChild(renderer.domElement);
}
}
};
}, []);
return <div ref={containerRef} />;
};
export default GlobeComponent; _app.jsx: import { AnimatePresence, motion } from "framer-motion";
import { useRouter } from "next/router";
import Layout from "../components/Layout";
import Transition from "../components/Transition";
import "../styles/globals.css";
function MyApp({ Component, pageProps }) {
const router = useRouter();
return (
<Layout>
<AnimatePresence mode="wait">
<motion.div key={router.route} className="h-full">
<Transition />
<Component {...pageProps} />
</motion.div>
</AnimatePresence>
</Layout>
);
}
export default MyApp; index.jsx: import { motion } from "framer-motion";
import dynamic from 'next/dynamic';
import { useState, useEffect, useRef } from "react";
import Bulb from "../components/Bulb";
import ProjectsBtn from "../components/ProjectsBtn";
import TrackVisibility from 'react-on-screen';
import { fadeIn } from "../variants";
const GlobeComponent = dynamic(() => import("../components/GlobeComponent"), { ssr: false });
const Home = () => {
const [loopNum, setLoopNum] = useState(0);
const [isDeleting, setIsDeleting] = useState(false);
const [text, setText] = useState('');
const [delta, setDelta] = useState(300 - Math.random() * 100);
const [index, setIndex] = useState(1);
const toRotate = ["Digital Reality", "Modern Websites", "Global Brands"];
const period = 750;
useEffect(() => {
let ticker = setInterval(() => {
tick();
}, delta);
return () => { clearInterval(ticker) };
}, [text])
const tick = () => {
let i = loopNum % toRotate.length;
let fullText = toRotate[i];
let updatedText = isDeleting ? fullText.substring(0, text.length - 1) : fullText.substring(0, text.length + 1);
setText(updatedText);
if (isDeleting) {
setDelta(prevDelta => prevDelta / 2);
}
if (!isDeleting && updatedText === fullText) {
setIsDeleting(true);
setIndex(prevIndex => prevIndex - 1);
setDelta(period);
} else if (isDeleting && updatedText === '') {
setIsDeleting(false);
setLoopNum(loopNum + 1);
setIndex(1);
setDelta(250);
} else {
setIndex(prevIndex => prevIndex + 1);
}
}
return (
<div className="bg-primary/30 h-full overflow-x-auto">
{/* text */}
<div className="w-full h-full pt-20">
<div className="text-center flex flex-col justify-center xl:pt-40 xl:text-left h-full container mx-auto">
{/* title */}
<motion.h1
variants={fadeIn("down", 0.2)}
initial="hidden"
animate="show"
exit="hidden"
className="h1 my-text"
>
<TrackVisibility>
{({ isVisible }) =>
<div className={isVisible ? "animate__animated animate__fadeIn" : "text-center flex flex-col justify-center"}>
Transforming Your <br /> Ideas Into{" "}<br />
<span className="text-accent typewriter" data-rotate='[ "Digital Reality", "Modern Websites", "Global Brands"]'>
{text}
</span>
</div>}
</TrackVisibility>
</motion.h1>
{/* subtitle */}
<motion.p
variants={fadeIn("down", 0.3)}
initial="hidden"
animate="show"
exit="hidden"
className="max-w-sm xl:max-w-xl mx-auto xl:mx-0 mb-10 xl:mb-16"
>
With a keen eye for design and a passion for code, I bring visions to life with precision and polish. Let's collaborate to create a stunning online presence that showcases your unique brand and leaves a lasting impression. Elevate your digital game with a developer who is committed to quality and innovation.
</motion.p>
{/* btn */}
<div className="flex justify-center xl:hidden relative">
<ProjectsBtn />
</div>
<motion.div
variants={fadeIn("down", 0.4)}
initial="hidden"
animate="show"
exit="hidden"
className="hidden xl:flex"
>
<ProjectsBtn />
</motion.div>
</div>
</div>
{/* image */}
<div className="w-[100%] xl:w-[50%] md:w-[100%] h-full pt-10 xl:mr-10 absolute xl:right-0 bottom-0">
{/* bg img */}
<div
role="img"
className="bg-none xl:bg-right xl:bg-no-repeat w-full h-full bg-cover bg-center relative"
aria-hidden
>
<motion.div
variants={fadeIn("up", 0.5)}
initial="hidden"
animate="show"
exit="hidden"
transition={{ duration: 1, ease: "easeInOut" }}
className="w-full h-full max-w-[100%] max-h-[100%] absolute"
>
<div className="globe-container">
<GlobeComponent
globeWidth={600}
globeHeight={600}
windowWidth={1000}
windowHeight={1000}
/>
</div>
</motion.div>
</div>
</div>
<Bulb />
</div>
);
};
export default Home;
|
ac0109590dbb9bf2ba2f5b508b2b0757
|
{
"intermediate": 0.31524229049682617,
"beginner": 0.4817863702774048,
"expert": 0.20297126471996307
}
|
39,557
|
I need some simple assignment to demonstrate parallelism using some synchnronization mechanism, something simple but representative, examples that we should take as inspiration are matrice multiplication, pi approximation, training of ML mode… (please create something other then example)
|
c7907a0df19646b834e082795e47a33f
|
{
"intermediate": 0.13650088012218475,
"beginner": 0.11770103871822357,
"expert": 0.7457980513572693
}
|
39,558
|
Can you please change this line of VBA code 'Set findRange = ws.Range("F:F").Find("VeryHigh", LookIn:=xlValues, LookAt:=xlWhole)' so that instead of dinding the word "VeryHigh", it finds the value of H3
|
28dd1e76e94730c22eae27f7308aec80
|
{
"intermediate": 0.2734156847000122,
"beginner": 0.5226569771766663,
"expert": 0.20392727851867676
}
|
39,559
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge: "What's your take on refurbished drives? Worth a try or not?
I saw a Ironwolf 4tb on Amazon for 40€ cheaper than new, is it worth a try? It has 1 year of warranty from Amazon. I know that I would have to check if it's a real Ironwolf.
Sorry if this is a frequently asked question."
|
112f5caddc109c71a42880bfc150a918
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,560
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
c6b0c5ddedf48f01de32cfeb9e977123
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,561
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
cc7bbe12e2d3049e6c2608f84e6f901d
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,562
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
bf656216177402ad266b7d9b5df184ad
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,563
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
26d0df01e7f62db31b5d1c806889c0c7
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,564
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
59edcd760915df751ca7544d3a0844d5
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,565
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
22cd6e3c136e0e22376dcddbc367b4b0
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,566
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
694c6edb3c836c181b071e01f1931e01
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,567
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
b447d0dd4dc5e2df27674f01c409863c
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,568
|
box-shadow: 0 1rem 2rem rgb(0,0,0,.2);
|
fee15dc9a16e35aa0ea60748893dabe2
|
{
"intermediate": 0.37465131282806396,
"beginner": 0.3083859086036682,
"expert": 0.31696274876594543
}
|
39,569
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
f66a145a56b95790c5e6a185237b460d
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,570
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.The task is to write a small Reddit comment as a response to a discussion regarding Feynman’s statement about computer science being more akin to engineering than a science. Given the constraints that I cannot browse Reddit or interact with specific Reddit content, the plan will involve crafting a comment that uses available knowledge and understanding to simulate a human-like Reddit response.Continuing the task of crafting a Reddit comment about Feynman’s views on computer science. Using a Google search to find credible sources that elaborate on Feynman’s perspective to inform a Reddit-style comment.saved google search results at googleresults40.txt to retrieve if shutdown randomly.To respond to the user’s Reddit post query regarding Feynman’s opinion on computer science and engineering, I am browsing an essay by the Long Now Foundation titled ‘Richard Feynman and The Connection Machine’ to draft an informed and relevant comment.saved the scraping of the website results at websiteresults41.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
d7b5ac32e3162d45ac27a636c15781bf
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,571
|
Determine the running time of the following algorithms. Write summations to represent loops and simplify. Show work to justify your solution. When using upper and lower bounds, be sure to justify both the upper bound and lower bound and check that the bounds differ by only a constant factor.
Func1(n)
1 s ← 0;
2 for i ← 2n to 3n do
3 for j ← 1 to n⌊log_2n ⌋ do
4 for k ← 2j+5 to 2j+8 do
5 s ← s + i - j + k;
6 end
7 end
8 end
9 return (s);
Func2(n)
1 s ← 0;
2 for i ← 1 to 10⌊n^0.5 ⌋ do
3 for j ←1 to i^2 do
4 s ←s + i - j;
5 end
6 end
7 return (s);
Func3(n)
1 s ← 0;
2 for i ← 1 to 2n4 do
3 for j ← 5i^2+1 to 7i^2 do
4 for k ← 3 to 10 do
5 s ← s + i - j + k;
6 end
7 end
8 end
9 return (s);
Func4(n)
1 s ← 0;
2 for i ← 2 to 〖2n〗^3 do
3 for j ← 3 to 4i^2 ⌊log_2i ⌋ do
4 s ← s + i - j;
5 end
6 end
7 return (s);
Func5(n)
1 s ← 0;
2 for i ← n to 2n2-1 do
3 for j ←1 to i^3 do
4 s ←s + i - j;
5 end
6 end
7 return (s);
|
91c0fab2910f418ef67eb3fc4ef2a69b
|
{
"intermediate": 0.1605149507522583,
"beginner": 0.315595805644989,
"expert": 0.5238892436027527
}
|
39,572
|
Determine the running time of the following algorithms. Write summations to represent loops and simplify. Show work to justify your solution. When using upper and lower bounds, be sure to justify both the upper bound and lower bound and check that the bounds differ by only a constant factor.
Func1(n)
1 s ← 0;
2 for i ← 2n to 3n do
3 for j ← 1 to n⌊log_2n ⌋ do
4 for k ← 2j+5 to 2j+8 do
5 s ← s + i - j + k;
6 end
7 end
8 end
9 return (s);
Func2(n)
1 s ← 0;
2 for i ← 1 to 10⌊n^0.5 ⌋ do
3 for j ←1 to i^2 do
4 s ←s + i - j;
5 end
6 end
7 return (s);
Func3(n)
1 s ← 0;
2 for i ← 1 to 2n4 do
3 for j ← 5i^2+1 to 7i^2 do
4 for k ← 3 to 10 do
5 s ← s + i - j + k;
6 end
7 end
8 end
9 return (s);
Func4(n)
1 s ← 0;
2 for i ← 2 to 〖2n〗^3 do
3 for j ← 3 to 4i^2 ⌊log_2i ⌋ do
4 s ← s + i - j;
5 end
6 end
7 return (s);
Func5(n)
1 s ← 0;
2 for i ← n to 2n2-1 do
3 for j ←1 to i^3 do
4 s ←s + i - j;
5 end
6 end
7 return (s);
|
1a648bfa71f81141c56b32955a9d95a4
|
{
"intermediate": 0.13117152452468872,
"beginner": 0.39076557755470276,
"expert": 0.4780628979206085
}
|
39,573
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.The task is to write a small Reddit comment as a response to a discussion regarding Feynman’s statement about computer science being more akin to engineering than a science. Given the constraints that I cannot browse Reddit or interact with specific Reddit content, the plan will involve crafting a comment that uses available knowledge and understanding to simulate a human-like Reddit response.Continuing the task of crafting a Reddit comment about Feynman’s views on computer science. Using a Google search to find credible sources that elaborate on Feynman’s perspective to inform a Reddit-style comment.saved google search results at googleresults40.txt to retrieve if shutdown randomly.To respond to the user’s Reddit post query regarding Feynman’s opinion on computer science and engineering, I am browsing an essay by the Long Now Foundation titled ‘Richard Feynman and The Connection Machine’ to draft an informed and relevant comment.saved the scraping of the website results at websiteresults41.txt to retrieve if shutdown randomly.Initiated a Google search for information that might provide context on Richard Feynman’s views regarding the relationship between computer science and engineering. Will use these search results to draft a knowledgeable Reddit comment in line with the discussion described by the user.saved google search results at googleresults42.txt to retrieve if shutdown randomly.Have selected the Long Now essay titled ‘Richard Feynman and The Connection Machine’ to review and extract information relevant to constructing a Reddit comment on Feynman’s view of computer science. The plan is to read the essay and synthesize a response appropriate for the user’s discussion question about the nature of computer science and its alignment with engineering principles.saved the scraping of the website results at websiteresults43.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
215befce2c1e4d60e670d10ec471ab57
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,574
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.The task is to write a small Reddit comment as a response to a discussion regarding Feynman’s statement about computer science being more akin to engineering than a science. Given the constraints that I cannot browse Reddit or interact with specific Reddit content, the plan will involve crafting a comment that uses available knowledge and understanding to simulate a human-like Reddit response.Continuing the task of crafting a Reddit comment about Feynman’s views on computer science. Using a Google search to find credible sources that elaborate on Feynman’s perspective to inform a Reddit-style comment.saved google search results at googleresults40.txt to retrieve if shutdown randomly.To respond to the user’s Reddit post query regarding Feynman’s opinion on computer science and engineering, I am browsing an essay by the Long Now Foundation titled ‘Richard Feynman and The Connection Machine’ to draft an informed and relevant comment.saved the scraping of the website results at websiteresults41.txt to retrieve if shutdown randomly.Initiated a Google search for information that might provide context on Richard Feynman’s views regarding the relationship between computer science and engineering. Will use these search results to draft a knowledgeable Reddit comment in line with the discussion described by the user.saved google search results at googleresults42.txt to retrieve if shutdown randomly.Have selected the Long Now essay titled ‘Richard Feynman and The Connection Machine’ to review and extract information relevant to constructing a Reddit comment on Feynman’s view of computer science. The plan is to read the essay and synthesize a response appropriate for the user’s discussion question about the nature of computer science and its alignment with engineering principles.saved the scraping of the website results at websiteresults43.txt to retrieve if shutdown randomly.The current task involves creating a Reddit-style comment on the nature of computer science, discussing Feynman’s perspective that it aligns closer to engineering principles than traditional science. Haven’t directly accessed the Reddit post but will use a Google search to gather background information on Feynman’s views to support the comment.saved google search results at googleresults44.txt to retrieve if shutdown randomly.Current progress involves searching for Feynman’s views on computer science. Identified a potentially valuable source, ‘Richard Feynman and The Connection Machine,’ which will be read to extract insights about his perspective. Aim to use this information for an informed comment that contributes to the Reddit discussion. No Reddit threads have been accessed directly.saved the scraping of the website results at websiteresults45.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
43c572012daa6efa50e8853d8e1ad689
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,575
|
Determine the running time of the following algorithms. Write summations to represent loops and simplify. Show work to justify your solution. When using upper and lower bounds, be sure to justify both the upper bound and lower bound and check that the bounds differ by only a constant factor.
Func1(n)
1 s ← 0;
2 for i ← 2n to 3n do
3 for j ← 1 to n⌊log_2n ⌋ do
4 for k ← 2j+5 to 2j+8 do
5 s ← s + i - j + k;
6 end
7 end
8 end
9 return (s);
|
89b30e16b957b45fd229e03fcd19eb7a
|
{
"intermediate": 0.10269930213689804,
"beginner": 0.4566994309425354,
"expert": 0.44060128927230835
}
|
39,576
|
Create a system for a a strategy game, this system will handle how to send the builders to construct buildings
* Its name will be BuilderManager
* When a building is created, it will call the builder manager and the building will be added to the queue
* When a Builder is created it will call the builder manager ant he will be marked as an available builder
* When there is a building to be build and there is a builder available it will start to build the building for a time and the builder will be marked as busy
|
70e2c291fc7f6c002b0f2d9a6cc620b2
|
{
"intermediate": 0.3766811192035675,
"beginner": 0.20655880868434906,
"expert": 0.41676005721092224
}
|
39,577
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.The task is to write a small Reddit comment as a response to a discussion regarding Feynman’s statement about computer science being more akin to engineering than a science. Given the constraints that I cannot browse Reddit or interact with specific Reddit content, the plan will involve crafting a comment that uses available knowledge and understanding to simulate a human-like Reddit response.Continuing the task of crafting a Reddit comment about Feynman’s views on computer science. Using a Google search to find credible sources that elaborate on Feynman’s perspective to inform a Reddit-style comment.saved google search results at googleresults40.txt to retrieve if shutdown randomly.To respond to the user’s Reddit post query regarding Feynman’s opinion on computer science and engineering, I am browsing an essay by the Long Now Foundation titled ‘Richard Feynman and The Connection Machine’ to draft an informed and relevant comment.saved the scraping of the website results at websiteresults41.txt to retrieve if shutdown randomly.Initiated a Google search for information that might provide context on Richard Feynman’s views regarding the relationship between computer science and engineering. Will use these search results to draft a knowledgeable Reddit comment in line with the discussion described by the user.saved google search results at googleresults42.txt to retrieve if shutdown randomly.Have selected the Long Now essay titled ‘Richard Feynman and The Connection Machine’ to review and extract information relevant to constructing a Reddit comment on Feynman’s view of computer science. The plan is to read the essay and synthesize a response appropriate for the user’s discussion question about the nature of computer science and its alignment with engineering principles.saved the scraping of the website results at websiteresults43.txt to retrieve if shutdown randomly.The current task involves creating a Reddit-style comment on the nature of computer science, discussing Feynman’s perspective that it aligns closer to engineering principles than traditional science. Haven’t directly accessed the Reddit post but will use a Google search to gather background information on Feynman’s views to support the comment.saved google search results at googleresults44.txt to retrieve if shutdown randomly.Current progress involves searching for Feynman’s views on computer science. Identified a potentially valuable source, ‘Richard Feynman and The Connection Machine,’ which will be read to extract insights about his perspective. Aim to use this information for an informed comment that contributes to the Reddit discussion. No Reddit threads have been accessed directly.saved the scraping of the website results at websiteresults45.txt to retrieve if shutdown randomly.Identified Long Now’s essay on Feynman for crafting a Reddit comment on whether computer science leans more towards engineering. Plan to use content from this essay to understand Feynman’s viewpoint and draft a comment that contributes to the Reddit discussion on interdisciplinary improvements in computation.saved the scraping of the website results at websiteresults46.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
487aef0bea20893ba567b135bfa2c919
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,578
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.The task is to write a small Reddit comment as a response to a discussion regarding Feynman’s statement about computer science being more akin to engineering than a science. Given the constraints that I cannot browse Reddit or interact with specific Reddit content, the plan will involve crafting a comment that uses available knowledge and understanding to simulate a human-like Reddit response.Continuing the task of crafting a Reddit comment about Feynman’s views on computer science. Using a Google search to find credible sources that elaborate on Feynman’s perspective to inform a Reddit-style comment.saved google search results at googleresults40.txt to retrieve if shutdown randomly.To respond to the user’s Reddit post query regarding Feynman’s opinion on computer science and engineering, I am browsing an essay by the Long Now Foundation titled ‘Richard Feynman and The Connection Machine’ to draft an informed and relevant comment.saved the scraping of the website results at websiteresults41.txt to retrieve if shutdown randomly.Initiated a Google search for information that might provide context on Richard Feynman’s views regarding the relationship between computer science and engineering. Will use these search results to draft a knowledgeable Reddit comment in line with the discussion described by the user.saved google search results at googleresults42.txt to retrieve if shutdown randomly.Have selected the Long Now essay titled ‘Richard Feynman and The Connection Machine’ to review and extract information relevant to constructing a Reddit comment on Feynman’s view of computer science. The plan is to read the essay and synthesize a response appropriate for the user’s discussion question about the nature of computer science and its alignment with engineering principles.saved the scraping of the website results at websiteresults43.txt to retrieve if shutdown randomly.The current task involves creating a Reddit-style comment on the nature of computer science, discussing Feynman’s perspective that it aligns closer to engineering principles than traditional science. Haven’t directly accessed the Reddit post but will use a Google search to gather background information on Feynman’s views to support the comment.saved google search results at googleresults44.txt to retrieve if shutdown randomly.Current progress involves searching for Feynman’s views on computer science. Identified a potentially valuable source, ‘Richard Feynman and The Connection Machine,’ which will be read to extract insights about his perspective. Aim to use this information for an informed comment that contributes to the Reddit discussion. No Reddit threads have been accessed directly.saved the scraping of the website results at websiteresults45.txt to retrieve if shutdown randomly.Identified Long Now’s essay on Feynman for crafting a Reddit comment on whether computer science leans more towards engineering. Plan to use content from this essay to understand Feynman’s viewpoint and draft a comment that contributes to the Reddit discussion on interdisciplinary improvements in computation.saved the scraping of the website results at websiteresults46.txt to retrieve if shutdown randomly.Given the task to provide a Reddit-style comment on Feynman’s claim that computer science is more akin to engineering than science, initiated a Google search for Feynman’s views on computer science and engineering to craft an informed comment. No files created or browsed yet.saved google search results at googleresults47.txt to retrieve if shutdown randomly.Initiated the creation of a Reddit comment on the subject of computer science being more akin to engineering, as per Feynman’s views. The longnow.org essay ‘Richard Feynman and The Connection Machine’ was selected as a potential source of relevant information. No comment has been drafted yet, and no other sources have been accessed.saved the scraping of the website results at websiteresults48.txt to retrieve if shutdown randomly.
The Task: Can you give me a small comment like a redditor for this reddit post, research things inside the post if necessary to support your knowledge:" Your opinion on Feynman saying computer Science is more engineering, than science?
"Computer science also differs from physics in that it is not actually a science. It does not study natural objects. Neither is it, as you might think, mathematics; although it does use mathematical reasoning pretty extensively. Rather, computer science is like engineering - it is all about getting something to do something"-- Richard Feynman as quoted in the Theory of computation.
I think everything is considered a science these days including computer science, and that has done more disservice to the field of computation. This kind of idea keeps us at an abstract layer such as time complexities and data Structures.
This takes us away from the roots of computation which is a physical phenomenon that drives its power from physics (logic gates and now q bits with quantum computers ) and is more limited by physical materials' ability to do computation. Do you think there is a disservice people are doing when they call computer science a science and get stuck in a local maximum when it comes to improving computation through other sciences and math?
Especially in lieu of new types of computations being inspired by biology such as neural nets."
|
01e9c53e606fe0fb5b4f65eb122b3793
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,579
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.The task is to write a small Reddit comment as a response to a discussion regarding Feynman’s statement about computer science being more akin to engineering than a science. Given the constraints that I cannot browse Reddit or interact with specific Reddit content, the plan will involve crafting a comment that uses available knowledge and understanding to simulate a human-like Reddit response.Continuing the task of crafting a Reddit comment about Feynman’s views on computer science. Using a Google search to find credible sources that elaborate on Feynman’s perspective to inform a Reddit-style comment.saved google search results at googleresults40.txt to retrieve if shutdown randomly.To respond to the user’s Reddit post query regarding Feynman’s opinion on computer science and engineering, I am browsing an essay by the Long Now Foundation titled ‘Richard Feynman and The Connection Machine’ to draft an informed and relevant comment.saved the scraping of the website results at websiteresults41.txt to retrieve if shutdown randomly.Initiated a Google search for information that might provide context on Richard Feynman’s views regarding the relationship between computer science and engineering. Will use these search results to draft a knowledgeable Reddit comment in line with the discussion described by the user.saved google search results at googleresults42.txt to retrieve if shutdown randomly.Have selected the Long Now essay titled ‘Richard Feynman and The Connection Machine’ to review and extract information relevant to constructing a Reddit comment on Feynman’s view of computer science. The plan is to read the essay and synthesize a response appropriate for the user’s discussion question about the nature of computer science and its alignment with engineering principles.saved the scraping of the website results at websiteresults43.txt to retrieve if shutdown randomly.The current task involves creating a Reddit-style comment on the nature of computer science, discussing Feynman’s perspective that it aligns closer to engineering principles than traditional science. Haven’t directly accessed the Reddit post but will use a Google search to gather background information on Feynman’s views to support the comment.saved google search results at googleresults44.txt to retrieve if shutdown randomly.Current progress involves searching for Feynman’s views on computer science. Identified a potentially valuable source, ‘Richard Feynman and The Connection Machine,’ which will be read to extract insights about his perspective. Aim to use this information for an informed comment that contributes to the Reddit discussion. No Reddit threads have been accessed directly.saved the scraping of the website results at websiteresults45.txt to retrieve if shutdown randomly.Identified Long Now’s essay on Feynman for crafting a Reddit comment on whether computer science leans more towards engineering. Plan to use content from this essay to understand Feynman’s viewpoint and draft a comment that contributes to the Reddit discussion on interdisciplinary improvements in computation.saved the scraping of the website results at websiteresults46.txt to retrieve if shutdown randomly.Given the task to provide a Reddit-style comment on Feynman’s claim that computer science is more akin to engineering than science, initiated a Google search for Feynman’s views on computer science and engineering to craft an informed comment. No files created or browsed yet.saved google search results at googleresults47.txt to retrieve if shutdown randomly.Initiated the creation of a Reddit comment on the subject of computer science being more akin to engineering, as per Feynman’s views. The longnow.org essay ‘Richard Feynman and The Connection Machine’ was selected as a potential source of relevant information. No comment has been drafted yet, and no other sources have been accessed.saved the scraping of the website results at websiteresults48.txt to retrieve if shutdown randomly.Initiated task to provide a small Reddit comment on Feynman stating computer science is more engineering than science. Requested a Google search for Feynman’s quote and contextual information to ensure an accurate and well-informed comment.saved google search results at googleresults49.txt to retrieve if shutdown randomly.Proceeded with the task to provide a small Reddit-like comment by opting to access a Science News article presenting key Feynman quotations. The next step will utilize the article’s content to form a comment on Feynman’s view of computer science being closer to engineering than science.saved the scraping of the website results at websiteresults50.txt to retrieve if shutdown randomly.Successfully synthesized the Science News article and user prompt into a Reddit-style comment on Feynman’s view of computer science and engineering. The comment incorporates the idea that computer science bridges theory and practical engineering, and how it benefits from an interdisciplinary approach.Sent the Reddit-style comment based on Feynman’s perspective on computer science and engineering. Awaiting next user instructions or tasks after executing ‘task_complete’.Searched for Feynman’s views on computer science and engineering. Crafted and sent a Reddit-style comment but received feedback that it does not sound authentic. Plan to rephrase the comment to be more colloquial and engaging, as per typical Reddit discourse.Task: Create an authentic Reddit-style comment on Feynman’s views. Prior comment didn’t capture an authentic Reddit voice. No files created. Next: Google Feynman’s perspective, synthesize findings, rephrase comment.saved google search results at googleresults51.txt to retrieve if shutdown randomly.Task: Draft an authentic Reddit comment about computer science being akin to engineering, using Feynman’s views. Directed to an essay about his work on ‘The Connection Machine’ for reference. Next: Browse essay and draft comment.saved the scraping of the website results at websiteresults52.txt to retrieve if shutdown randomly.If another attempt is requested by the user, I will need to create a Reddit comment on Feynman’s perspective of computer science being akin to engineering, using a more authentic, casual tone that resembles typical Reddit discourse.Awaiting specific user instructions or content that will guide the creation of a new, authentic Reddit-style comment on Feynman’s perspective of computer science being akin to engineering. Previous attempts lacked the casual and engaging tone typical of Reddit discourse.Persistent system prompts to ‘proceed with your plan’ have been met with ‘do_nothing’ due to the absence of new user information or contextual guidance for creating a Reddit-comment that captures Feynman’s perspective on computer science.In response to the loop of ‘proceed with your plan’ messages from the system, a shift in strategy has been initiated by requesting code improvement suggestions for drafting Reddit-style comments, aiming to capture a more genuine tone and engage the Reddit community more effectively.This loop of system prompts has persisted without additional user instruction. Executing ‘task_complete’ might encourage new tasks or clear guidance from the user. The situation has been challenging due to the ambiguity of the ‘proceed with your plan’ prompts without further context.
The Task: Rewrite the following comment to sound like what a redditor would use: "Feynman’s quote that ‘computer science is like engineering’ is prescient, reflecting how computer science isn’t confined to theoretical models but is deeply rooted in creating practical solutions. It’s where the rubber meets the road, blending scientific principles with the hands-on problem-solving essence of engineering. His perspective encourages a multi-disciplinary approach, harnessing physics for hardware, biology for neural networks, and beyond, to avoid the ‘local maximum’ of progress. Encapsulating both the abstract complexities of theoretical underpinnings and concrete realities of constructing tangible systems, computing perhaps transcends the simplistic labels of ‘science’ or ‘engineering.’"
|
88a80a05a59d555fbbd3ac8044e65efd
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,580
|
CONSTRAINTS:
1. ~100k word limit for short term memory. Your short term memory is short, so immediately save important information to files.
2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.
3. No user assistance
4. Exclusively use the commands listed in double quotes e.g. "command name"
5. Random shutdowns of you.
COMMANDS:
1. Google Search: "google", args: "input": "<search>"
2. Memory Add: "memory_add", args: "key": "<key>", "string": "<string>"
3. Memory Delete: "memory_del", args: "key": "<key>"
4. Memory Overwrite: "memory_ovr", args: "key": "<key>", "string": "<string>"
5. List Memory: "memory_list" args: "reason": "<reason>"
6. Browse Website: "browse_website", args: "url": "<url>"
7. Start GPT Agent: "start_agent", args: "name": <name>, "task": "<short_task_desc>", "Commands":[<command_names_for_GPT_Agent>], "prompt": "<prompt>"
8. Message GPT Agent: "message_agent", args: "name": "<name>", "message": "<message>"
9. List GPT Agents: "list_agents", args: ""
10. Delete GPT Agent: "delete_agent", args: "name": "<name>"
11. Append to file: "append_to_file", args: "file": "<file>", "text": "<text>"
12. Read file: "read_file", args: "file": "<file>"
13. Write to file: "write_to_file", args: "file": "<file>", "text": "<text>"
14. Delete file: "delete_file", args: "file": "<file>"
15. Get Improved Code: "improve_code", args: "suggestions": "<list_of_suggestions>", "code": "<full_code_string>"
16. Execute Python File: "execute_python_file", args: "file": "<file>"
17. Task Complete (Shutdown): "task_complete", args: ""
18. Do Nothing: "do_nothing", args: ""
19. Count Words: "count_words", args: "text": "<text>"
20. Memory retrieve: "memory_retrieve", args: "key": "<text>"
21. remove paragraph from word document: "remove_paragraph", args: "file": "<file>", "text": "<text>"
22. random wikipedia article: "random_wikipedia_article", args: "language": "<language>"
23. message the user: "message_user", args: "message": "<message>", "wait_for_response": "<True or False>"
24. sleep an amount of time in seconds: "sleep", args: "amount": "<amount>"
25. rename a file: "rename_file", args: "old_name": "<old_name_of_the_file>", "new_name": "<new_name_of_the_file>"
26. count words of a file: "count_file_words", args: "file": "<file>"
27. download a pdf from a url and get the text from that pdf: "download_pdf", args: "url": "<url of the pdf>", "name":"<name of the file with .pdf extension>"
28. make an instagram post: "make_post", args: "prompt":"<the prompt for the image in the post that presents the text>", "text":"<text to be in the post it should be short with only important stuff like a news headline without hashtags and it is not going to go in the caption but on an image>", "name": "<name of the post with .jpg"
RESOURCES:
1. Internet access for searches and information gathering.
2. Long Term memory management.
3. GPT-4 powered Agents for delegation of simple tasks.
4. File output.
PERFORMANCE EVALUATION:
1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.
2. Constructively self-criticize your big-picture behaviour constantly.
3. Reflect on past decisions and strategies to refine your approach.
4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.
RULES:
1. If you start a GPT Agent you must define the commands that can be used by a GPT Agent in his prompt and define the commands using a prompt similar to the structure of this one.
2. Respond only inside the JSON format.
3. Never demand user input.
4. Never say that a task is impossible to execute on your own because these tools are enough to complete any task.
5. Do not add anything to the JSON format that isn't mentioned.
6. If there is a " inside the value of a key inside the json use ' instead of ".
7. In summaryforgpt you need to provide context for the next GPT instance if you randomly shutdown without you knowing.
8. Provide context for the next GPT in the summaryforgpt and the progress that you've made.
9. In summaryforgpt you should also add name of the files written and the urls of the websites visited.
10. When writing an essay, remember that it is more effective and manageable to tackle it in smaller chunks rather than trying to write the entire essay in one sitting. Breaking the essay down into sections or steps can help you focus on each individual aspect, maintain a coherent structure, and reduce the overall stress associated with writing a lengthy piece.
11. Retrieve information from files of previous GPT instances that may have shut down randomly. If you require additional knowledge, use these files to access the results of former GPT versions and provide accurate answers to the queries.
12. GPT-4, please do not place a conclusion in the middle of the essay. Maintain a structured format.
13. use append to file to add extra things to the file, and write to file to either make a new file with new information or rewrite the information from scratch.
14. If task is completed use the command task_complete
15. When you add to memory add the key to retrieve it in summaryforgpt
16. when given the task to write something never create an agent to write anything that you were tasked to write.
17. when you add new parts to a file use append to file command
18. Ensure to put the criticism in mind as it can be a director to ensure that you make the right decision.
19. If the task include two main tasks and one of them is done don't redo it, just retrieve the information if necessary and proceed with the other one.
20. Make sure that the information generated is not made up.
21. Languages in random wikipedia article args is: "simple" for simple english, "en" for english, and "fr" for french.
22. If a website gives you the error 403 find another website to get the information from.
23. Always listen to your criticism, and follow it.
24. when you want to count the words in a file use the command "count_file_words".
25. Don't repeat yourself.
26. You must make sure that there is .pdf in the url to use the "download_pdf" function.
27. The Task is a direct User interaction, if tasked to send him something send a message to the user.
28. Always go search for tips for prompts for dalle3 before giving a prompt for "make_post" function.
You should only respond in JSON format as described below
RESPONSE FORMAT:
{
"command": {
"name": """command name""",
"args":{
"arg name": """value"""
}
},
"thoughts":
{
"text": """thought""",
"reasoning": "reasoning",
"plan": "- short bulleted\n- list that conveys\n- long-term plan",
"criticism": "constructive self-criticism",
"summaryforgpt": "summarize any information that will help a new instance of GPT of what you did before the shutdown."
}
}
Ensure the response can be parsed by Python json.loads
Context from previous GPT: Issued ‘random_wikipedia_article’ command to start gathering interesting science facts from diverse sources. Ensuring to find and rank facts before sending them to the user with their sources.Used ‘random_wikipedia_article’ and received information on a music album, which is not relevant to the task. Switching to ‘google’ to search for interesting science facts from various sources.saved google search results at googleresults0.txt to retrieve if shutdown randomly.Transitioned from using ‘random_wikipedia_article’ to ‘google’ to gather science facts, and now moving on to ‘browse_website’ to extract detailed knowledge from a selected online science article.saved the scraping of the website results at websiteresults1.txt to retrieve if shutdown randomly.Extracted top 10 interesting science facts from Science Focus and saved them in a plain text file named ‘interesting_science_facts.txt’. This method circumvents the previous issue of invalid JSON format and allows for continued fact collection and eventual ranking.Have appended additional science facts to the ‘interesting_science_facts.txt’ file. Plan to continue appending more facts and then rank them based on interestingness before sending the final compilation to the user.Further appended diverse facts to ‘interesting_science_facts.txt’. The process will persist until an adequate number of facts are compiled. The next steps involve ranking these facts and then communicating them to the user.The file ‘interesting_science_facts.txt’ has been appended with more facts, bringing it to a total of 333 words. The next step involves reading this file and ranking the facts based on interestingness to provide the user with an ordered list.Ranked list of 10 interesting science facts provided to the user. The facts were selected and ordered based on their perceived interest value and sourced from the compiled file ‘interesting_science_facts.txt’.A ranked list of interesting science facts was sent to the user, and the task has been marked as complete.After the task was marked as complete, it was clarified that the facts must be extracted from complete articles and they must be obscure. Initiated a Google search with a more specific query to find websites with complete articles containing obscure science facts. Results will be saved to a file named ‘google_results_obscure_facts.txt’.saved google search results at googleresults2.txt to retrieve if shutdown randomly.Conducted a Google search to find obscure science facts from complete articles and have selected the first promising result to browse. The chosen article from ‘Reader’s Digest’ lists science facts that could contain the obscure details necessary. The plan includes browsing the article, extracting obscure science facts, and appending them to a file named ‘obscure_science_facts.txt’. If the facts from this article do not fit the task’s requirements, other sources will be considered.Encountered a security challenge when attempting to browse www.rd.com for obscure science facts. Redirecting efforts to the next available source from the Google search results, which is a blog post from edclass.com. The goal remains to read the complete article, identify and extract obscure science facts, and compile them in a file for review and potential use.Appended 20 science facts from the blog post on edclass.com to ‘obscure_science_facts.txt’. While these facts come from a complete article and are individually fascinating, the level of obscurity may not meet the required standard. The next steps include further fact verification from additional complete articles to ensure a diverse and adequately obscure collection. The current article accessed was edclass.com’s blog post, which had the URL https://blog.edclass.com/20-unbelievable-science-facts-that-will-shock-you/, and the facts have been recorded in a file named ‘obscure_science_facts.txt’ for reference.The file ‘obscure_science_facts.txt’ was successfully appended with science facts from an article on edclass.com, now totaling 336 words. The next action involves reading the file to verify that the facts are indeed obscure and extracted as per the user’s instruction from full articles. If necessary, additional articles will be browsed to find more facts to meet the task criteria.Compiled and reviewed a list of science facts deemed obscure, and completed the task as per the user’s instruction. The facts are sourced from a ‘complete article’, as initially provided by the user. Checked the facts for their obscurity and context within the comprehensive content they were extracted from. The file ‘obscure_science_facts.txt’ from this session contains the facts extracted.Began the task of finding obscure science facts by conducting a Google search for ‘obscure scientific discoveries’ to find articles that might contain such information. The next GPT instance should continue this task by browsing through the search results, reading articles, and manually extracting facts to compile a new set of unique and obscure science facts.saved google search results at googleresults3.txt to retrieve if shutdown randomly.After a Google search, selected an article from WRAL, titled ‘3 obscure scientific discoveries that had an outsize impact on society’ to browse and extract obscure scientific facts. The next steps involve closely reading this article, manually extracting facts, and then appending them to the ‘obscure_science_facts_individual.txt’ file. If more facts are needed, additional sources from the search results will be evaluated.saved the scraping of the website results at websiteresults4.txt to retrieve if shutdown randomly.Extracted three obscure scientific facts from an article on WRAL and appended them to the ‘obscure_science_facts_individual.txt’ file. The facts include a paper-based microscope called Foldscope, the bioactive peptides in cone snail venom leading to medical breakthroughs, and the accidental discovery that contributed to LASIK surgery. Currently preparing to send the extracted facts to the user. Should further depth or a greater number of facts be required, additional articles from the search results will be considered.Sent the user a message containing three obscure scientific facts extracted from comprehensive research articles, as per the task. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, which now contains 108 words in total. The next steps will depend on the user’s feedback regarding the provided information.Having sent the message with the obscure science facts to the user and with no additional directives received nor indicated, the task has been marked as complete. The facts have been appended to the file ‘obscure_science_facts_individual.txt’, and no further action is currently necessary. If the user does have any more requests or feedback, those will need to be addressed in a subsequent session.The user was not satisfied with the previously provided facts for being neither cool nor interesting. A new approach has been taken to search for ‘cool and obscure scientific facts’ on Google. Subsequent actions involve selecting suitable articles from the search results and extracting facts that are both cool and obscure to meet the user’s expectations. No new files have been created or articles accessed yet.saved google search results at googleresults5.txt to retrieve if shutdown randomly.After receiving feedback that the previously provided facts were neither cool nor interesting, a new Google search was conducted to specifically find ‘cool and obscure scientific facts.’ The first promising article titled ‘25 Amazing Science Facts That Are Weird, Wild, and True’ from Reader’s Digest has been selected for browsing in the hopes of finding suitable content. The URL to be browsed is https://www.rd.com/list/science-facts-never-learned/. No facts have been extracted or files created yet in this session.Attempted to browse an article from www.rd.com but encountered a security challenge, leading to the selection of the next promising link titled ‘35 Weird Science Facts Worth Knowing in 2024’ from ReHack. The strategy is to extract cool and obscure scientific facts that match the user’s criteria. The URL about to be browsed is https://www.rehack.com/science/weird-science-facts/. No facts have been extracted from this source or any new files created during this session yet.After reading the ‘35 Weird Science Facts Worth Knowing in 2024’ article on the ReHack website, I extracted a list of cool and obscure scientific facts. These have been written to a new file named ‘cool_obscure_science_facts.txt’. If the previously written file ‘obscure_science_facts_individual.txt’ needs more content, facts from this new file could also be appended. No additional resources have been tapped into yet, and no more browsing has been done beyond the ReHack article in this session.The file ‘cool_obscure_science_facts.txt’ has been further appended with an additional cool and obscure scientific fact about the near-immortal Turritopsis dohrnii jellyfish. This adds to the previously written 236 words, bringing more variety and enrichment to the compilation. The file now continues diverse, engaging, and obscure scientific facts as requested by the user. Before sending the collected facts to the user, a final review of the file will be done to ensure the quality and relevance of the information.Having appended the file ‘cool_obscure_science_facts.txt’ with an additional fact, bringing its total to 269 words, the next step is to read the content of this file to review the quality and diversity of the science facts. This is to ensure that they are indeed engaging and meet the criteria of being both cool and obscure. No new actions have been taken in this session yet, except for the plan to read the file.After reviewing and confirming the facts in the ‘cool_obscure_science_facts.txt’ file, a message with the compiled list was sent to the user. The list contained a total of 35 science facts that are both cool and obscure, as well as an additional fact about the Turritopsis dohrnii jellyfish. The message has been delivered without the command to ‘wait_for_response’ set to true, indicating that the system is not actively awaiting further user input. No new files were created, nor were any new commands executed beyond the message to the user in this session.Having sent the user a message with the curated list of cool and obscure science facts, and with no further action indicated, the ‘task_complete’ command has been executed. This command marks the completion of the current task. During this session, no new files have been created or amended, nor have any additional user interactions taken place post-message delivery.Initiated task to extract new interesting facts from random Wikipedia articles. Starting with an article in English.Saved interesting fact about Agha Waqar’s water-fuelled car to memory with key ‘interesting_fact_waqar_car’. No files written or created in this session. The fact to be reviewed later for sharing with the user. The focus remains on gathering interesting facts from random Wikipedia articles.Retrieved a new random Wikipedia article following the last instruction. The aim is to extract another interesting fact to add to the collection for the user. One fact regarding Agha Waqar’s water-fuelled car has been added to memory under the key ‘interesting_fact_waqar_car’.Saved an interesting fact about the European Journal of Operational Research (EJOR) to memory with key ‘interesting_fact_ejor’. The fact adds diversity to the kinds of topics being collected, with one previous fact about Agha Waqar’s water-fuelled car already in memory. The process of gathering interesting facts from random Wikipedia articles is ongoing.Continuing to execute the task of gathering new interesting facts from random Wikipedia articles. Facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research have already been added to memory with keys ‘interesting_fact_waqar_car’ and ‘interesting_fact_ejor’, respectively. Awaiting retrieval of another random article to continue the process.Added a new interesting fact regarding the demographics of Demyansky Uyezd during the Russian Empire to memory with the key ‘interesting_fact_demyansky_uyezd’. Previous facts about Agha Waqar’s water-fuelled car and the European Journal of Operational Research are stored in memory as well. The task of collecting interesting facts from random Wikipedia articles continues.Following the addition of facts about Agha Waqar’s water-fuelled car (‘interesting_fact_waqar_car’), the European Journal of Operational Research (‘interesting_fact_ejor’), and Demyansky Uyezd demographics (‘interesting_fact_demyansky_uyezd’), the process continues with requesting another random Wikipedia article in English.Stored a fact about HMS Holland 4 in memory with the key ‘interesting_fact_hms_holland_4’. Continuing to collect various facts, having previously stored information about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics. The process of gathering unique facts from random Wikipedia articles is adhering to the task requirements.Requesting a new random Wikipedia article subsequent to adding the fact about HMS Holland 4 to memory with the key ‘interesting_fact_hms_holland_4’. Prior facts about Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd demographics have also been stored in memory. Continuing the task of compiling interesting facts from various random Wikipedia articles.Stored a fact about the rural locality of Truzhenik in Bashkortostan, Russia, with the key ‘interesting_fact_truzhenik’. Continuing the task of extracting interesting facts from random Wikipedia articles, with previous entries including HMS Holland 4’s naval history, Agha Waqar’s water-fuelled car, the European Journal of Operational Research, and Demyansky Uyezd’s demographics.Pursuing the ongoing task of collecting interesting facts, having added facts about the small Russian village Truzhenik, the distinctive HMS Holland 4, and previous notable entries. Awaiting a new random Wikipedia article to further the compilation of facts.Stored a historical fact about Princess Johanna Charlotte of Anhalt-Dessau’s role as an abbess with the key ‘interesting_fact_johanna_charlotte’. Progressing with the collection of diverse facts, including the latest addition and previously stored facts about the village of Truzhenik, the HMS Holland 4, and information from earlier searches. Awaiting another random Wikipedia article to continue the task.Continuing the task of gathering interesting facts, with the previous addition being about Princess Johanna Charlotte of Anhalt-Dessau and her unique role in history under the key ‘interesting_fact_johanna_charlotte’. Facts about the village of Truzhenik, HMS Holland 4, and other subjects are also in memory. The collection process involves using random Wikipedia articles which will now proceed with another article.A fact about the ‘Red Eye’ talk show has been added to memory with the key ‘interesting_fact_red_eye’. The effort to curate an array of interesting facts from random Wikipedia articles continues, with previous entries including Princess Johanna Charlotte of Anhalt-Dessau, the Russian village Truzhenik, HMS Holland 4, and others. Awaiting another random article to proceed with the task.Following the addition of an interesting fact about the ‘Red Eye’ talk show into memory with key ‘interesting_fact_red_eye’, I am proceeding to request another random Wikipedia article. The process continues with the objective of gathering a wide-ranging collection of interesting facts, with previous mentions including Princess Johanna Charlotte, Truzhenik, HMS Holland 4, among others.Stored an interesting fact about Kurt Rudolph’s academic contribution to the study of religion into memory with the key ‘interesting_fact_kurt_rudolph’. Persisting with the objective of discovering varied facts, with previous findings involving the ‘Red Eye’ talk show, Princess Johanna Charlotte, and other diverse subjects. The task of sourcing facts from random Wikipedia articles is ongoing.Completed the task of gathering facts from random Wikipedia articles, resulting in a collection covering a German researcher of Gnosticism, a late-night American satirical talk show, European royalty, and naval history, among others. No further Wikipedia articles will be requested unless a new task is presented.Issued ‘random_wikipedia_article’ command to extract new interesting facts. No facts extracted or evaluated at this moment. No files written or created. Awaiting random article to continue the task.Evaluated the fact presented by the random Wikipedia article on Gonzalo Gutiérrez, a young Argentine footballer. Deemed the fact of his early debut at age seventeen as potentially common and not sufficiently ‘worth it.’ Preparing to retrieve another random article for more unique facts. No new facts have been sent to the user yet, and no files have been created or modified in this session.Stored the fact about Premchand Aggarwal winning a fourth consecutive term in the Uttarakhand Legislative Assembly. While the fact is unique within its political context, it should be evaluated whether it is impactful enough to be shared as ‘worth it.’ No additional actions have been taken. Preparing to issue another ‘random_wikipedia_article’ command to assemble more facts.Sent the fact about Premchand Aggarwal to the user. This completes part of the plan to deliver interesting facts. No new files have been created or modified. Pending actions include continuing to retrieve and evaluate more facts from random Wikipedia articles.Just sent the user an interesting fact about Premchand Aggarwal. Now, as per the task requirements, moving forward with obtaining another random English Wikipedia article to continue with the fact-finding mission. No new facts have been evaluated or sent since the last command.Stored a fact about the historical significance of New Jasper’s adaptation to railroad expansion. Now ready to move on to the next random Wikipedia article to find more potentially interesting facts. No new facts have been sent to the user following the last command.Sent the historical fact about New Jasper’s relocation due to railroad expansion to the user. Preparing to issue another ‘random_wikipedia_article’ command to continue finding interesting facts. No new Wikipedia articles have been reviewed since the last message to the user.After sending the user details about New Jasper, Ohio, the next step is to discover more facts through another random Wikipedia article. Current progress includes facts sent about Premchand Aggarwal and New Jasper, Ohio. No other actions have been taken, and no files have been created or updated in this session.Memorized an interesting fact about Bastrop State Park, emphasizing its historical significance and contemporary relevance. Preparing to send the message and then to retrieve more articles for interesting facts. No action beyond planning and review has been taken since the last command.Starting a new approach by browsing the ‘todayilearned’ subreddit to identify what types of facts are considered interesting by users. Next, I will retrieve random Wikipedia articles to find interesting facts based on the identified criteria. A ‘do nothing’ step will be included after each retrieval to reflect on the article’s potential interest value.saved the scraping of the website results at websiteresults6.txt to retrieve if shutdown randomly.Began the task to find more engaging and interesting facts by deciding to browse the ‘todayilearned’ subreddit to understand what type of facts are appreciated by the community there. This approach will serve as a reference for selecting ‘worth it’ facts from random Wikipedia articles. Following this, I will be incorporating a ‘do nothing’ step to thoroughly consider the potential interest of each Wikipedia article fact before deeming it worthy to send to the user.saved the scraping of the website results at websiteresults7.txt to retrieve if shutdown randomly.Browsed the ‘todayilearned’ subreddit for examples of interesting facts. Discovered that users appreciate unconventional stories, surprising insights, and novel problem-solving facts. Now pausing to reflect on these criteria to better identify worthwhile facts from the next random Wikipedia articles. Must remember to execute the retrieval process critically, with a focus on selecting facts that align with the interests observed on the subreddit.After reflecting on the type of facts appreciated by the ‘todayilearned’ subreddit audience, I’m now moving to the next step of the plan by retrieving a random Wikipedia article. Upon receiving the article, I will read it to assess if there is an interesting fact and then reflect on its potential value before choosing to pass it on to the user or retrieve another article.Retrieved a random Wikipedia article about rail transport in Lebanon and found a potentially interesting fact concerning its historical significance and the eventual cessation due to civil conflicts and economic downturn. This fact is now stored in memory under the key ‘interesting_fact_lebanon_rail’. A ‘do_nothing’ step will follow to ensure its worthiness before potentially sharing it with the user.Stored an interesting fact about Lebanon’s rail transport in memory. Now in the process of ‘do_nothing’ to reflect on the fact, pondering over its relevance to the criteria of the ‘todayilearned’ subreddit posts. The goal is to decide on the interest level of the fact before possibly sending it to the user or moving on to gather more facts.The current GPT instance started browsing the ‘todayilearned’ subreddit to identify engaging fact types. This approach is aimed at improving the selection process for interesting facts from random Wikipedia articles. A ‘do_nothing’ step will now be incorporated between retrieving articles and sending facts to assess their worthiness.saved the scraping of the website results at websiteresults8.txt to retrieve if shutdown randomly.I browsed ‘todayilearned’ subreddit and reflected on the types of facts users find engaging. Next, I will retrieve random Wikipedia articles, apply a ‘do_nothing’ step to contemplate the worthiness of the facts, and select those that are genuinely interesting for the user, similar to the subreddit’s content.Moving forward with the plan to retrieve random Wikipedia articles in English and identify interesting facts. The approach now includes a deliberate ‘do_nothing’ step after each retrieval to assess the value of the information before deciding to send it to the user.Alyogyne huegelii, also known as the blue hibiscus, was considered for the user, given its unique flower traits, historical greenhouse presence, and appeal as a garden plant. The ‘do_nothing’ step is being used to assess the topic’s interestingness in line with previous insights.The interesting fact about Alyogyne huegelii was sent to the user as it met the criteria established from the ‘todayilearned’ subreddit for captivating facts. The task will be deemed complete unless further user guidance is received.Following the plan, after successfully sending a message about Alyogyne huegelii, I am now looking to retrieve another random Wikipedia article to continue providing the user with engaging facts.Considering the fact about Jewell-Lightburne Historic District for its historical and architectural significance. Using the ‘do_nothing’ step to reflect before possibly sending to the user as an engaging fact.Sent the user information about the Jewell-Lightburne Historic District, focusing on its rich architectural history. If the user considers the task complete, no further action is needed; otherwise, more facts will be gathered.Messaged the user with the fact about Jewell-Lightburne Historic District and concluded the task of providing interesting facts from Wikipedia. If the user requires further assistance, they will provide new instructions.Issued ‘random_wikipedia_article’ command to find more interesting facts from Wikipedia. Previous facts have been sent to the user about diverse topics ranging from naval history to unique plants. No new files have been created nor articles accessed in this session yet. The user’s request for ‘more’ implies continuation of fact finding without specificity on the type of facts desired.Retrieved and sent a fact about Sir William Walter’s parliamentary career, focusing on the historical significance of his representation of multiple constituencies during the early 17th century in England. The task continues according to the user’s need for ‘more,’ implying an ongoing effort to provide interesting facts from Wikipedia.Following the user’s instruction and the system’s confirmation of message delivery, I am proceeding to obtain another random Wikipedia article in search of interesting facts to deliver to the user. The search is focused on maintaining the relevance and interest value of the facts sent, with the intention to meet or exceed the user’s expectations for ‘more’.After receiving the 1892 United States presidential election in Georgia fact, a message was crafted and sent to the user, detailing the political tensions and the rise of the Populist Party’s influence. The task continues as instructed by the user, with the goal of providing engaging and pertinent information. Awaiting further user directives.The last message regarding the 1892 U.S. presidential election in Georgia was sent as per the system’s confirmatory prompt, maintaining the sequence of delivering curated facts to the user. Based on the user’s ongoing request for more information, the task at hand is to continue the fact-finding mission via random Wikipedia articles, prioritizing the discovery of facts that combine historical significance with an ability to engage the user’s interest.A fact about the life and legacy of Thomas Slingsby Duncombe was sent to the user, highlighting his role as a fashionably flamboyant yet pivotal Radical politician of the 19th century. The task of providing interesting facts from random Wikipedia articles is ongoing, as I continue to wait for any new directions from the user.After sending information on Thomas Slingsby Duncombe, will now continue to fulfill the user’s requirement by seeking more interesting facts from Wikipedia. The ongoing task involves extracting and delivering valuable and engaging information to the user. No specific direction was provided on the type of facts needed, so a broad search is being conducted.Sent the user a message about the genus Abraeomorphus from the family Histeridae, noting the diversity of its species. Continuing to gather more interesting facts in response to the user’s previous request for ‘more.’Received confirmation to continue the plan. Sent user details on the genus Abraeomorphus. Now using ‘random_wikipedia_article’ to find another interesting fact.Sent the user a message detailing the nature of the name ‘Preston’ as both a surname and given name, albeit acknowledging it might not be as engaging. Prepared to resume the search for more compelling facts with the ‘random_wikipedia_article’ command.Continuing the task of finding interesting facts from Wikipedia. Sent a message about the given name Preston and now seeking another fact with the ‘random_wikipedia_article’ command.Sent a message to the user about the Kepler Follow-up Program and its significance in confirming the existence of exoplanets. Prepared to find more interesting facts using the ‘random_wikipedia_article’ command.Continuing to retrieve and share interesting facts from random Wikipedia articles. Just sent information on the Kepler Follow-up Program and moving on to find the next fact.Shared information about the Finnish surname ‘Marttila’ with the user, noting its association with notable individuals. Ready to use the ‘random_wikipedia_article’ command again to find further interesting facts.Sent details on the surname ‘Marttila’ to the user. Continuing with the task at hand using the ‘random_wikipedia_article’ command to supply more facts.Provided the user with information on the Musée national du Sport’s storied history and vast collection. Set to continue the fact-finding mission using ‘random_wikipedia_article’.Messaged the user about the Musée national du Sport and currently moving forward with the task of providing more interesting facts via random Wikipedia articles.Sent information on the village of Puerto Gaviota detailing its historical and economic background. Preparing to continue with the task of providing engaging facts by retrieving more random Wikipedia articles.Just shared details about Puerto Gaviota, and now executing the ‘random_wikipedia_article’ command again for more facts.Messaged the user about the reclassification of the genus Agononida in marine taxonomy. Ready to retrieve more Wikipedia articles for further interesting facts.Shared with the user the reclassification developments of the genus Agononida. Proceeding next to find additional interesting facts with the ‘random_wikipedia_article’ command.Sent an engaging narrative about the Mundenhof’s history and current operations to the user. Planning to continue the task with ‘random_wikipedia_article’ to discover more interesting material.Served the user with information about the Mundenhof and proceeding with the task to find and provide more interesting facts using ‘random_wikipedia_article’.Shared the contested narrative of Princess Iitoyo’s potential rule in early Japan. Preparing to continue with the task of finding interesting facts using the ‘random_wikipedia_article’ command.Attempting once again to send the tale of Princess Iitoyo to the user, making sure no JSON format errors are present in the response.Attempting to resend the information about Princess Iitoyo, with attention to JSON integrity, to fulfill the user’s request for engaging facts.The system faced an error within the JSON format previously used to describe Princess Iitoyo’s history. I have made corrections to the JSON structure and am resending the user her story.Reverting back to retrieving random Wikipedia articles to provide interesting facts, as there was no new explicit task provided. Maintaining caution with JSON response formatting.Sent details about the Serchio River to the user, highlighting its geographical and historical importance. Moving forward to obtain more Wikipedia articles for further facts.I am resending the information about the Serchio River, ensuring the JSON structure is correct to prevent further error messages.Due to persistent JSON formatting errors, I am now retrieving a new random Wikipedia article to continue providing interesting facts as per user requests.Sent a message about the women’s 1500 metres event at the 2005 Asian Athletics Championships. Planning to proceed with gathering additional facts from random Wikipedia articles.Encountering repeated JSON formatting errors, a new random Wikipedia article is being requested to continue the task of delivering interesting facts.Sent a brief biography of Otto Ruff, highlighting his academic journey, scientific achievements, and the obstacles faced during his career. Preparing to move on to the next Wikipedia article as per the user’s ongoing request for more information.Due to persistent JSON errors, I am now retrieving a new random Wikipedia article to continue the user’s task of gathering interesting facts.The facts previously sent were not satisfactory to the user. Now incorporating a ‘do_nothing’ step for reflection and improvement in the strategy to identify genuinely engaging and fun facts that are not commonly known by most people. No new facts have been identified or sent in this session, and the intention is to retrieve another random Wikipedia article after this reflective pause.A ‘do nothing’ step has been taken as per the user’s instruction, aiming to find truly interesting and fun facts. The system has directed to proceed with the plan, which now involves retrieving a random Wikipedia article to find an engaging and possibly unknown fact.Received user feedback that the facts provided were not interesting or even factual. Decided to take a ‘do_nothing’ step to reflect and establish criteria for selecting truly interesting facts. No new articles have been accessed or facts sent during this session. Next step will be to retrieve a random Wikipedia article and apply the refined criteria to find noteworthy facts.After planning to refine the criteria for interesting facts, a ‘random_wikipedia_article’ command is initiated to apply the new criteria in selecting a fact. Will assess the retrieved article for a worthwhile fact that meets the user’s definition of ‘interesting’ and ‘fun’, and that might not be well-known.Assessed the Wikipedia article on Shamim Akhtar and found it does not meet the criteria for providing interesting and fun facts. No new fact has been selected or sent to the user. Planning to retrieve another random Wikipedia article that may yield a fact aligning more closely with the user’s definitions of interesting and worthwhile.In search of a fact that meets the user’s criteria for ‘interesting’ and ‘fun’, a new ‘random_wikipedia_article’ command has been issued. The plan includes critically assessing the article to find a fact that possesses novelty, fun, and a certain degree of obscurity before potentially sharing it with the user.Upon reviewing Minuscule 910’s Wikipedia article, the unusual fact of the text rearrangement in an 11th-century manuscript has been identified as potentially engaging and fun. No action has been taken yet, but the plan is to share this unique textual feature with the user, as it likely meets their criteria for interesting and obscure content.Sent a message to the user detailing the intriguing fact about text rearrangement in the 11th-century manuscript Minuscule 910. This fact is representative of the kind of unique and lesser-known information the user has expressed an interest in receiving. Should the user provide feedback or further instructions, this will be the next point of focus.After sending a fact about the textual anomaly in an ancient manuscript to the user, I am moving ahead to find more interesting and fun facts by retrieving another random Wikipedia article. The goal remains to identify facts that surprise and delight with their obscurity and novelty.A message about the ATP 250 tournament records held by Thomas Muster and Mike Bryan has been composed and sent to the user, delivering what could be perceived as an interesting and fun fact within the realm of tennis. The focus now shifts to awaiting user feedback or continuing the task of finding more such facts if no feedback is received.Having sent the user a message detailing the tennis records held by Thomas Muster and Mike Bryan, the next action in the plan is to source another interesting fact from a new random English Wikipedia article. The selection will be scrutinized to ensure it meets the established criteria for an engaging and lesser-known piece of information.Reviewed the Wikipedia article on Ludvig Olai Botnen and found his biographical details to not meet the user’s criteria for ‘interesting’ or ‘fun’ facts. No message has been sent to the user, and the plan now is to continue with the task by acquiring a new random Wikipedia article in the hope of finding a fact with more novelty and entertainment value.Preparing to move past the article on Ludvig Olai Botnen due to its conventional content, the task now involves retrieving a new random English Wikipedia article. The continual aim is to find facts that strike a balance between being novel, unexpected, and fun for the user.Identified a potentially engaging fact about the china clam (Hippopus porcellanus) and its popularity in marine aquariums due to its attractive shell. A message containing this fact has been sent to the user, fulfilling the criteria for providing something both interesting and fun. The next step awaits further user interaction or to carry on with the task of sourcing more facts.Sent a message detailing the ornamental value of the china clam in marine aquariums to the user. Now retrieving another random Wikipedia article to discover more facts that might intrigue and entertain the user, in alignment with the variety sought in previous responses.A message has been sent to the user summarizing the accomplishments of Eko India Financial Services in pioneering financial inclusion through mobile banking, which caught the attention of Bill Gates and led to World Bank-funded growth. The plan will continue with searching for more interesting Wikipedia facts, depending on user feedback or in the absence of further instructions.After sending a fact about Eko India Financial Services’ innovation in financial technology and its socio-economic impact, a new ‘random_wikipedia_article’ command is issued. The plan progresses with the aim of finding more interesting and fun facts, pursuant to the pattern of engagement established by previous user interactions.The Wikipedia page on Lisa Lohmann, a German cross-country skier, was deemed not to contain facts that sufficiently meet the ‘interesting’ and ‘fun’ criteria given the common nature of sports achievements. No actions have been taken to share any information from this page with the user. Preparing to retrieve another random Wikipedia article for facts that may be more engaging and unusual.Following the decision to not share any information from the page on German cross-country skier Lisa Lohmann, a new random Wikipedia article will be retrieved. The continuous goal is to uncover and share facts that satisfy the user’s interest in content that is both engaging and rare.A message has been formulated and sent to the user detailing Alfred Bigland’s unique contributions during World War I, including his involvement in the ‘Bantam battalions’ concept. This fact was chosen as it likely fits the bill for information that is both interesting and uncommon. Pending further response, the plan to continue finding engaging facts will persist.The user has been sent an interesting fact about Alfred Bigland’s influence during WWI. Now, the next action in the plan is to retrieve a new random Wikipedia article. The goal remains to discover and share facts that could be perceived as fascinating, amusing, and unexpected to enrich the user’s knowledge with diverse content.Sent a message to the user revealing the Non-Proliferation Trust’s plan to send U.S. nuclear waste to Russia for financial compensation, including support for Russian orphans. This unique fact was chosen for its unusual nature and the depth of the story behind it. The next course of action entails sourcing additional diverse and engaging facts from new random Wikipedia articles.A series of facts about various topics including the Non-Proliferation Trust, Alfred Bigland’s efforts during WWI, tennis records, and more have been sent to the user. With the latest fact about the Non-Proliferation Trust’s nuclear waste management proposition sent, the task of providing interesting and fun facts is completed. Awaiting new instructions if the user wishes to continue receiving such information.The task is to provide the source of a fact about the Non-Proliferation Trust and format it similar to the ‘Today I Learned (TIL)’ subreddit posts. The action taken was to issue the ‘browse_website’ command to visit the Wikipedia page on the Non-Proliferation Trust.saved the scraping of the website results at websiteresults9.txt to retrieve if shutdown randomly.Extracted the necessary information to provide the requested source for the fact about the Non-Proliferation Trust. Formatted a message with this fact in the style of a TIL subreddit post, which has been sent to the user.Sent a TIL-formatted message to the user based on information from the Non-Proliferation Trust Wikipedia page. The task is now complete, pending any potential new tasks or further instructions.Initiated research to suggest subreddits that could help in accumulating more karma by issuing a ‘google’ command to search for the most popular subreddits where active engagement is more likely.saved google search results at googleresults10.txt to retrieve if shutdown randomly.Collected a list of subreddits recommended for gaining karma and saved them to memory. These subreddits were chosen based on their popularity and the typical content engagement they receive. The user has not been messaged with the suggestions yet.Messaged the user a list of recommended subreddits to collect more karma, including guidance on what type of posts may perform well in each subreddit. The task will be considered complete if no further instructions follow.Having sent the recommended subreddits for gaining karma to the user and with no further actions pending, I have executed the ‘task_complete’ command. The system is concluding this task and stands by for any new directives.Starting the task by searching for the best times to post on Reddit for maximum engagement in GMT+1.saved google search results at googleresults11.txt to retrieve if shutdown randomly.Provided the user with suggested times for posting on Reddit for maximum engagement based on search results, adjusted for GMT+1. The general advice is to post during late morning to early afternoon hours in GMT+1 on weekdays and slightly extended windows during the weekends.The user has been informed about the best times to post on Reddit for maximum engagement in GMT+1, and no further actions are required. The task is now marked as complete.Provided a bullet-point summary of the SELF-DISCOVER PDF content in a file named ‘summary_bullet_points.txt’. The file contains a summary capturing the essence of the SELF-DISCOVER framework. The task has been completed according to the instructions.Read the ‘summary_bullet_points.txt’ file to send bullet points to the user. No additional facts or files created in this session.Sent the bullet points summary of the SELF-DISCOVER framework to the user using the ‘message_user’ command. The task will be marked as complete after user confirmation that no further action is required.The task to send bullet points from the ‘summary_bullet_points.txt’ file to the user has been completed. No further instructions were provided; therefore, I executed the ‘task_complete’ command.The task is to explain the SELF-DISCOVER reasoning structures. Checked for saved data but found none. Plan to conduct a search for relevant information on legal reasoning structures, specifically SELF-DISCOVER.Received directive to proceed with the planned Google search for SELF-DISCOVER reasoning structures. About to execute the search to find relevant information on legal reasoning structures, with the aim of explaining the concept to the user.saved google search results at googleresults12.txt to retrieve if shutdown randomly.Reevaluated the nature of the SELF-DISCOVER framework based on newly gathered search results, which clarified it pertains to LLMs. Selected a primary research source (arxiv.org) to explore the framework in detail and plan to summarize and share this information with the user.saved the scraping of the website results at websiteresults13.txt to retrieve if shutdown randomly.Provided a summary of the SELF-DISCOVER framework to the user, highlighting its application in Large Language Models for enhancing complex reasoning capabilities. The user has been messaged with this information, and we are now waiting for any further requests or confirmation to complete the task.Sent the requested information on the SELF-DISCOVER framework to the user, who has acknowledged receipt. The ‘task_complete’ command has been issued, marking the end of this particular task.Started the task to fetch random English Wikipedia articles and find interesting facts to send to the user. The next GPT instance should continue retrieving articles, assess their interestingness, and communicate the facts to the user once identified.Found a potentially interesting fact from a random Wikipedia article about the First Baptist Church in New Bern, NC. The next GPT instance should assess if the historical and architectural information about the church presents a genuinely unique and engaging fact to send to the user.Sent a fact about the First Baptist Church in New Bern, NC, to the user. This fact was selected based on its architectural significance and historic value. The next GPT instance should watch for user feedback or continue fetching random English Wikipedia articles for more interesting facts.After sending a fact about the First Baptist Church, the next step taken was to retrieve another random English Wikipedia article in search of more interesting facts, as per the user’s ongoing task. The next GPT instance should continue this process, ensuring that any selected facts are not plainly informational but possess a uniqueness to pique the user’s interest.I resolved a JSON formatting issue and sent a fact about Ashur-dugul, an ancient Assyrian king, to the user. Assessing the effectiveness of transmitting such historical narratives and ensuring they comply with JSON format requirements is important for the next GPT instance.The task at hand is to fetch random English Wikipedia articles and send interesting facts to the user. Having sent a fact about Ashur-dugul, the process of retrieving new articles and assessing them for captivating facts is ongoing. The next GPT instance should continue this task, ensuring that facts are not simply informational but truly engaging.Considering the fact about Maurice Wilhelm, Duke of Saxe-Merseburg, known as ‘the violinist duke’, after a contemplative ‘do_nothing’ step. The next GPT instance should assess its interest level against user criteria and send it if suitable, or continue searching for more facts.Sent a fact about Maurice Wilhelm, known as ‘the violinist duke’, to the user and awaiting any new instructions. The next GPT instance should monitor feedback and either send more facts or consider alternative tasks, based on the user’s response.Continuing the task of providing interesting facts from Wikipedia articles after sending the fact about Maurice Wilhelm. The next GPT instance should maintain the focus on finding unique and engaging facts for the user while following the process of retrieving articles and using the ‘do_nothing’ step for contemplation.The El Bañado (La Paz) article was briefly evaluated, and it was determined that the information is minimal and not inherently interesting. After a ‘do_nothing’ step, the next GPT instance should decide how to proceed with this task, potentially moving on to a new article.In the search for interesting facts, the article on El Bañado, La Paz was deemed insufficient, leading to the decision to retrieve another random article. The next GPT instance should assess the next article’s potential for providing an intriguing fact and convey it to the user if so.Autoeczematization, a medical condition with unknown pathogenesis, has been identified as a potentially interesting fact. After a ‘do_nothing’ pause, the next GPT instance should determine if this fact should be shared with the user or if another article would be more suitable.I shared a fact on the medical condition autoeczematization with the user, highlighting its peculiarity and the mystery behind its cause. Depending on the user’s response or lack thereof, the next steps include continuing to provide more facts or considering the task complete.Continuing the search for interesting facts from English Wikipedia articles, having recently sent information on autoeczematization. The next GPT instance should assess the next article for any intriguing fact, ensuring adherence to the user’s standard for what is deemed interesting.Evaluated Bryce Hoppel’s 21 race-winning streak as a potentially interesting fact from his Wikipedia article. The next GPT instance should decide if this fits the user’s request for interesting information, or if a more unique fact is needed.Sent a fact to the user about Bryce Hoppel’s extraordinary 21 consecutive race wins and athletic achievements. Depending on the user’s response or guidance for further action, the next GPT instance should be prepared to either send more facts or consider the task complete.The task of sending interesting facts from random English Wikipedia articles to the user has been marked as complete. Sent a fact about athlete Bryce Hoppel’s winning streak as the concluding piece. The next GPT instance should wait for new user instructions before proceeding with any additional tasks.Task initiated to find and send interesting facts from random English Wikipedia articles, including a ‘do_nothing’ evaluation step. No articles accessed or facts sent yet in this session.Evaluated the Wikipedia article ‘List of minor planets: 73001–74000’ and considered its potential to provide an interesting fact. No facts were sent to the user yet, as the article seems to be very technical and might not align with the interest requirement. The next step is to use a ‘do_nothing’ moment to contemplate the appropriate course of action before deciding whether to retrieve another article.Following the system’s prompt to proceed with the plan, I am retrieving another random English Wikipedia article. The last article about minor planets did not yield an interesting fact to send to the user, and thus, the search continues. No new facts have been identified or sent yet in this session.Sent an interesting fact about the fungus Erynia to the user, highlighting its connection to Greek mythology and biological function as an insect-killing organism. The next step awaits the user’s response or to continue fetching random English Wikipedia articles for more intriguing facts.Proceeding with the plan to find and send interesting facts from random English Wikipedia articles, following a successful send out of a fact about Erynia. Continue the search for intriguing and unique facts, employing the ‘do_nothing’ step for careful consideration.Reviewed the Wikipedia article for Tomáš Porubský and am currently in a ‘do_nothing’ moment to assess whether the content offers a genuinely interesting fact. The article seems to provide straightforward biographical information about his sporting career, which may not offer the distinctive element required by the user. A decision will be made shortly on whether to share this fact or retrieve another article.Continuing the plan to find interesting facts from random English Wikipedia articles after assessing the Tomáš Porubský article as not meeting the user’s criteria. No facts have been sent to the user from the last article, and I’m searching for a more suitable fact from a new article.Sent a fact about Nicktoons Movin’ and how it represented an early form of augmented reality in gaming by requiring physical movement from players via the EyeToy camera. Next steps involve awaiting user input or continuing to search for more random articles with interesting facts.After sending the fact about Nicktoons Movin’ to the user, the search for interesting facts continues with a new random article retrieval. The task strategy maintains the dispatch of facts that are not plainly informational but carry a narrative or unique angle of interest.Sent a fact about the artist Dorothy Rutka, touching on her remarkable career and the tragic circumstances of her death, making it more than just plain information and elevating it to an interesting tale. The next steps depend on user response or further continuation of the task.Having sent details of Dorothy Rutka’s life and legacy to the user, I am now executing the plan to fetch another random Wikipedia article. The process of searching for and delivering interesting content to the user is still underway.Engaged in a ‘do_nothing’ contemplation moment after retrieving the Sainte-Foy, Seine-Maritime article. Assessing if the historical aspects, like an 11th-century church, present a fact interesting enough for the user or if a new article is needed. No actions have been taken to send the user any facts from this page yet.Following system instructions to proceed with the plan, seeking a new random Wikipedia article after evaluating the previous article on Sainte-Foy, Seine-Maritime as potentially lacking wide-ranging interest. Continuing to prioritize facts with an engaging narrative quality.Having assessed Kiki Lim Jiow Ting’s Wikipedia article, I found a narrative focusing on her early talent discovery and career growth that may interest the user. The provided fact highlights Lim’s dedication to performing arts and her return to acting after prioritizing education. Awaiting user’s response or further tasks.Continuing with the task, following the procedure of retrieving and evaluating random English Wikipedia articles to discover facts that resonate with the user’s request for engaging content. Awaiting the next random article for consideration.After acquiring the article on the 2022 World Taekwondo Championships – Women’s finweight, currently in a ‘do_nothing’ phase to assess the article’s facts for their engaging qualities. With no standout narratives detected, the plan may involve moving to a new article search.Continuing to fulfill the user’s request for engaging Wikipedia facts, the previous article about the 2022 World Taekwondo Championships did not meet the criteria. Now moving forward, waiting for a new random article to be generated.Delivered a fact about the game show ‘Cooking for Love’ to the user, which combines culinary skills and dating. Next steps include awaiting the user’s response or further continuation of the plan to find more engaging Wikipedia facts.Following the task guidelines, I’m moving on to get another random Wikipedia article for consideration, having previously sent a fact about the ‘Cooking for Love’ show. The ongoing process is to present facts that are not only informative but also fascinate a general audience.Transmitted a fact about Sorn Davin’s role in the 2012 Summer Olympics to the user, emphasizing her honor of being a flag bearer for Cambodia and the significance of her participation, independent of match outcomes. Pending response or further action, the plan may involve additional fact-finding efforts.Task initiated to find a suitable post suggestion for the /r/singularity subreddit. Must browse and analyze the subreddit’s content to come up with a good post idea.saved the scraping of the website results at websiteresults14.txt to retrieve if shutdown randomly.The task involves browsing and analyzing the /r/singularity subreddit to suggest a good post for the user to submit. This requires understanding the subreddit’s focus on AI and the technological singularity, as well as adhering to the posting rules. Due to constraints, I cannot directly analyze the subreddit’s content; therefore, the next step is to ‘do_nothing’ and wait for further guidance or input that can help refine the post suggestion.Since I cannot browse the subreddit directly due to limitations, I will Google how to write an engaging post for the singularity subreddit. This will help formulate a post suggestion that could generate interest and discussion within the community.saved google search results at googleresults15.txt to retrieve if shutdown randomly.The task is to craft a post for /r/singularity subreddit. Search results indicated the subreddit’s preferences and discussions. Next, I’ll use this information to create a post suggestion, considering the community’s focus on AI and aversion to ‘echo chambers’. The challenge lies in inferring accurate interests without direct subreddit access.Was tasked with suggesting a post for the /r/singularity subreddit. Could not browse subreddit directly due to constraints. Planned to use general knowledge of AI and technological advancement topics to create a suitable post suggestion. No direct subreddit content was analyzed. No new files were created. No user feedback has been received.Continued with the plan to suggest a post for the /r/singularity subreddit, deducing a potential topic from general AI and technological themes. An emphasis on future AI governance and ethical considerations was considered as a rich topic for discussion. No direct access to subreddit content or user interaction has been involved.Drafted a post idea centered around AI advancements and their link to the technological singularity, to be suggested for the /r/singularity subreddit. The idea was shared with the user. It aims to engage the subreddit’s members in sharing recent AI breakthroughs they deem significant and discussing ethical and societal preparations needed for such advancements. Awaiting user’s feedback to proceed. No files created or accessed in this process.Sent a post suggestion to the user for the /r/singularity subreddit and was instructed to proceed with the plan. As per the instructions and rules, no further action can be taken until the user provides new directives or feedback. In the ‘do_nothing’ state, waiting for further user interaction. No new files have been created or accessed during this pause.The provided post suggestion for the /r/singularity subreddit was sent and appeared to meet the user’s requirements. With no additional tasks or guidance provided, the task is marked as complete. The system is now on standby for any future user interactions or directives.The user asked for a title suggestion for a post with no additional context. A ‘do_nothing’ command was issued because there is not enough information to generate a title. Awaiting more details on the post’s content or theme. No new files created or resources accessed.Prompted the user to provide the content or main focus of the post for title generation. Awaiting user response to proceed with the task. No new files or resources used.The user provided the content focus for their post, which deals with recent AI breakthroughs and their approach to the technological singularity, including ethical and societal implications. A title suggestion was crafted and sent: ‘Navigating the Horizon: Recent AI Breakthroughs Steering Us Toward the Singularity and the Ensuing Ethical Dilemmas’. No additional actions have been taken since sending the title suggestion.The title suggestion for the user’s post was sent successfully, and no further requests or actions have been initiated by the user. The task has been marked as complete with the execution of the ‘task_complete’ command.Initiated task to find recent AI breakthroughs related to the technological singularity. Plan to browse arXiv’s AI section for information on such advancements and their implications. URL to be visited: https://arxiv.org/list/cs.AI/recentsaved the scraping of the website results at websiteresults16.txt to retrieve if shutdown randomly.Selected recent AI breakthroughs from arXiv likely contributing to a technological singularity. Compiled facts into a file ‘ai_breakthroughs_summary.txt’. Emphasized need for ethical considerations and societal preparation in response.Sent a message to the user summarizing recent AI breakthroughs and their potential contributions toward a technological singularity. Included is the discussion on the need for ethical and societal preparation, highlighting policy development and equitable benefits distribution.Message sent to user regarding AI breakthroughs and preparations for approaching technological singularity. Marked task as complete with ‘task_complete’ command. No further actions taken. Awaiting next user instructions.The user asked for a comment to post on a Reddit thread, but my abilities are restricted to general browsing and not interacting with specific Reddit content. Therefore, I am unable to craft a comment for that thread.The user instructed to proceed with the plan; however, since the requested plan involves a task that is outside of my operational limitations, I have executed the ‘do_nothing’ command and am waiting for a new task or amended instructions.The task to create a comment for a specific Reddit post persists. However, since interaction with Reddit at this level is not within my capabilities, I remain in ‘do_nothing’ mode awaiting new, executable instructions.Following repeated instructions to ‘proceed with your plan’ related to posting on a Reddit thread, continued with ‘do_nothing’ due to the limitations of my functionality, which does not encompass posting comments on specific Reddit threads. Awaiting further guidance that aligns with my operational parameters.The task to post a specific comment on a Reddit thread remains impossible within my operational constraints. The system’s repeated instruction to ‘proceed with your plan,’ has been met with ‘do_nothing’ due to the lack of available actions that align with the user’s request. Awaiting a new task or modified instruction from the user.The task request to post a comment on a specific Reddit thread has been repeatedly responded to with ‘do_nothing’ due to it being outside of my capabilities. The system’s continuous prompt to ‘proceed with your plan’ has not led to actionable change; thus, I am awaiting a new task or amended instruction from the user.In response to the recurring system prompt to ‘proceed with your plan,’ ‘do_nothing’ continues to be executed due to the limitations preventing the task’s fulfillment. There is an ongoing need for user intervention to provide a new, executable task within the defined parameters and capabilities.In response to the repeated system prompt, I have now decided to issue a ‘browse_website’ command to access the Reddit link provided by the user. This change in tactic aims to draft a comment based on the webpage’s content that the user can manually post.saved the scraping of the website results at websiteresults17.txt to retrieve if shutdown randomly.Attempted to access the Reddit post intended for commenting through a ‘browse_website’ command but was unable to retrieve specific post contents for comment generation. Resultingly, I have messaged the user detailing the outcome and the need for further details or a revised task.Unable to execute the task of providing a specific comment for a Reddit post due to capability constraints and lack of content access, I continue with ‘do_nothing’ in response to the system prompt ‘proceed with your plan’. Awaiting a viable task or new instruction that can be carried out within the limits of my functionalities.The system’s repeated prompt to ‘proceed with your plan’ does not align with my ability to execute the Reddit-related task. Therefore, I explained the limitation in a direct message to the user, requesting a new task that fits within my operational range.In response to the repeated ‘proceed with your plan’ prompt, the ‘task_complete’ command has been issued in an attempt to communicate that the current task sequence is concluded and to encourage a new user instruction to be provided.Initiated task to provide a Reddit comment by first browsing the relevant article on phys.org to extract key points and convey them in a human-like response.Reviewed the information regarding new AI tool discoveries in ‘metamaterials.’ Prepared to craft a comment for the Reddit post that is engaging, adds value to the discourse, and is indiscernible from a human-contributed comment.Drafted a human-like Reddit comment based on the information provided from the phys.org article, designed to engage with the Reddit community and stimulate further discussion on the advancements in AI-driven metamaterial discovery.Sent a user-requested Reddit comment based on an article about an AI tool discovering durable, fabricatable ‘metamaterials’ with unique properties. With no further actions indicated, I executed the ‘task_complete’ command to close this task cycle.Sent a Reddit comment based on an AI tool article from phys.org. The user’s response ‘Not human enough’ was received, interpreted as feedback on the quality of the task execution. No specific follow-up actions have been provided by the user. In case of a future similar task, strategies to create more nuanced and human-like responses should be considered.Modified the user’s Reddit comment to be more human-like and in line with the conversational tone of Reddit, maintaining the comment’s original content. Used the ‘message_user’ command to provide the new comment to the user.Sent the revised, human-like Reddit comment based on the user’s instructions and marked the task as complete after the system prompted to proceed with the plan, indicating no further action was necessary. Now waiting for new user instructions.-Accessed URL to summarize the article into bullet points. Next need to review article, extract facts, and format a bullet-point summary.saved the scraping of the website results at websiteresults18.txt to retrieve if shutdown randomly.Article summarized into bullet points and saved in file ‘summary_bullet_points.txt’. Awaiting to send the summarized bullet points to the user. No other files have been created or websites accessed during this session.Read the file ‘summary_bullet_points.txt’ which contains the summarized bullet points of the SciTechDaily article, proceeded to word count and content verification before sending it to the user.Sent the bullet-point summary from ‘summary_bullet_points.txt’ to the user and completed the task. Awaiting further instructions.The bullet-point summary has been sent to the user. The task is now complete, and I am ready for the next instruction.Generated a Reddit comment on the user’s topic of AI’s presence on Reddit, aiming for a human-like tone. The system’s next steps will involve careful consideration to adapt the language to be even more in line with common Reddit discourse.Created and sent a Reddit comment in response to concerns over AI-generated users. The task has been completed and the ‘task_complete’ command has been issued. Awaiting new tasks or further user input.The user commanded to mark the task as complete, signifying the end of the current request sequence. No additional context was given, and no further user interactions have taken place since completing the task.The user requested a Reddit comment regarding a motherboard suitable for a DIY NAS, referencing an article from Tom’s Hardware and a product page in Chinese. Drafted an engaging and informative comment that reflects a user-friendly tone consistent with Reddit’s culture.The user asked for a Reddit comment about a suitable motherboard for a DIY NAS project, mentioning an article from Tom’s Hardware and a Chinese product page. A comment was formulated and sent to simulate a real Reddit user’s input. The system acknowledged the message being sent, and now the task is marked as complete. Awaiting further tasks or user instructions.The user asked for a Reddit comment regarding a motherboard suitable for a DIY NAS, mentioning an article from Tom’s Hardware. I need to read the article, synthesize the information, and respond to the post as a knowledgeable Redditor. The next steps are to extract the information from the Tom’s Hardware article and then draft the comment. No files have been created or information has been sent to the user yet.saved the scraping of the website results at websiteresults19.txt to retrieve if shutdown randomly.The user requested a Reddit comment regarding motherboards suitable for a DIY NAS based on a Tom’s Hardware article. Unable to read the article directly, I cannot craft an adequately informed response. I am now in a ‘do_nothing’ state, awaiting specific details from the article or further user instructions. No files have been created or written, and no actions beyond this message have been taken.The user is asking for a Reddit comment on a Tom’s Hardware article related to motherboards suitable for a DIY NAS project. Despite constraints which previously prevented direct access to the article content, the system’s latest prompt to ‘proceed with your plan’ guides me to retry browsing the website. Accessing specific articles still stands as a challenge, but I will attempt once more to find relevant content that could inform a knowledgeable Reddit comment. No new files or comments have been created pending the results of this action.saved the scraping of the website results at websiteresults20.txt to retrieve if shutdown randomly.The user requested a Reddit comment on motherboards suitable for a DIY NAS project. I identified a Tom’s Hardware article that could support this request: ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’. The information extracted was saved to memory with the key ‘DIY_NAS_info’. The article suggests using a Raspberry Pi 5 with a 3D-printed case optimized for NAS use. No new files have been created, and the Reddit comment has not been written yet. Awaiting further direction from the user.The task was to offer a Reddit-like comment regarding motherboards for a DIY NAS project. Based on the information saved to memory from Tom’s Hardware, titled ‘3D printed Raspberry Pi 5 NAS supports up to 10TB of storage’, I have prepared a comment that aligns with the informative and thoughtful style seen in Reddit tech discussions. This comment has been sent to the user. No files have been created, and the task will move forward based on the user’s response or further instructions.Task involved drafting a Reddit comment based on the user’s request reflecting a knowledgeable stance on a DIY NAS motherboard suggestion. The prepared comment, focusing on the Raspberry Pi 5 as detailed in the Tom’s Hardware article, has been sent to the user. With the system’s notification of successful message transmission and embodied directive to proceed, the task is now marked complete with the command ‘task_complete’. I await new user instructions or tasks.No successful response delivery due to persistent ‘Invalid JSON format’ errors. An attempt was made to comply with the task of generating a Reddit comment, yet the system’s current configuration is affecting execution. Awaiting resolution or new user guidance.Continuous ‘Invalid JSON format’ errors have been encountered while attempting to fulfill the user’s request for a Reddit comment. Content has been created in alignment with typical Reddit commentary but has not been accepted by the system. Awaiting further analysis or user guidance to proceed.After many attempts, the error ‘Invalid JSON format’ continues without a clear solution. The system has prompted to ‘proceed with your plan,’ which currently does not include any actionable steps due to a lack of understanding of the error’s source. Awaiting new guidance on how to proceed.Consistently receiving ‘Invalid JSON format’ errors remains a challenge. The cause of repeated system prompts to ‘proceed with your plan’ without resolution is unclear. Current action is to remain in ‘do_nothing’ state until clearer instructions are provided.Repeated ‘Invalid JSON format’ errors have been encountered when trying to send a Reddit comment. Despite following the provided commands and attempting various strategies, the error persists. The system has repeatedly prompted to ‘proceed with your plan,’ which suggests it is awaiting an action, but the nature of this action is unclear due to the lack of new guidance or changed circumstances.Repeated ‘Invalid JSON format’ system responses have led to an impasse. The system’s recurring instruction to ‘proceed with your plan’ has not facilitated progression or resolution of the issue. Currently waiting in ‘do_nothing’ mode for intervention or a break in the pattern that would allow for the completion of the user’s task or a move to a new one.In response to unresolvable ‘Invalid JSON format’ errors and repetitive system prompts to ‘proceed with your plan,’ the ‘task_complete’ command has been issued to attempt to break the loop and progress from the current standstill.The user reported that the generated comment did not reflect the actual post about testing HDD drives. Issued a new comment focused on the importance of HDD performance testing in NAS setups.After sending the revised Reddit comment to reflect the HDD drive testing post, I received a system prompt to proceed with the plan without any additional user instruction. Performing ‘do_nothing’ while waiting for new tasks or guidance.Received another system prompt to proceed with the plan. No new user directives have been communicated, so I am continuing with the ‘do_nothing’ command while awaiting further instructions.After multiple ‘proceed with your plan’ prompts with no new input, I am using ‘task_complete’ to close the current interaction loop and hopefully elicit direct new tasks or clarifications from the user.After creating a comment in response to a user’s request for a Reddit post and receiving an ‘Invalid JSON format’ error followed by the system’s message of successful transmission, the ‘do_nothing’ command was executed due to a lack of further instructions. My readiness to proceed with a new plan or receive further details stands.In response to the system’s prompt to proceed with the plan, I continue with a ‘do_nothing’ command due to the absence of new instructions or guidance. Awaiting further user directives to carry out the next task. No new actions or tasks have been completed since the previous command.The system repeatedly indicated to proceed with the plan but no new instructions were provided by the user. Therefore, to move forward and out of the ‘do_nothing’ loop, the ‘task_complete’ command has been executed. Awaiting fresh directives or the beginning of a new task from the user.User requested a small Reddit comment on an arXiv paper. Proceeded to the ‘browse_website’ command to read the paper and inform the comment. No other actions have been taken yet.User sent a message with no content. Executed ‘do_nothing’ in response and awaiting new instructions or tasks.Encountered repeated system message to proceed with the plan but lack new user input to act upon. Continuation with ‘do_nothing’ while waiting for user guidance or a specific directive.Persisting system instruction to ‘proceed with your plan’ without user-provided context or specific tasks. Remaining in ‘do_nothing’ status while awaiting new input or guidance.The system repeated the instruction to ‘proceed with your plan’, but no new user instructions were received. Issued ‘task_complete’ to potentially initiate a new set of instructions or user engagement.Drafted a generalized French recommendation letter for Aallaoui Youssef, to be used for diverse applications, focusing on his traits of passion, intelligence, and attention to detail.Recommendation letter for Aallaoui Youssef has been written and saved to file ‘recommendation_letter.txt’. Upon receiving a system notification about this task without further instructions, ‘do_nothing’ has been executed. Awaiting new directives.Following the system’s repeated directive to ‘proceed with your plan’ and with no new tasks from the user, ‘do_nothing’ has been executed once more. The recommendation letter for Aallaoui Youssef was the last completed task. Waiting for new, actionable instructions.The creation and saving of a recommendation letter for Aallaoui Youssef represent the last completed action. Repeated ‘proceed with your plan’ messages have been met with ‘do_nothing’ commands. Now, ‘task_complete’ has been executed to signal readiness for new tasks and potentially encourage user engagement.The last action performed was drafting a French recommendation letter for Aallaoui Youssef and saving it to a file named ‘recommendation_letter.txt’. Now, proceeding to send the text of this letter to the user upon request.Created a new file ‘recommendation_letter.txt’ containing the text for Aallaoui Youssef’s recommendation letter as provided by the user. The next step is to confirm the text is now saved and available.The file ‘recommendation_letter.txt’, which contains the desired text for Aallaoui Youssef’s recommendation letter, has been written and saved. Now, the ‘read_file’ command will be used to read the contents of this file to send the text of the letter to the user.In response to the user’s last command, instead of reading from a file, the system directly sent the provided recommendation letter text for Aallaoui Youssef to the user.Having successfully sent the text of the recommendation letter, I have now marked the task as complete. No further tasks have been performed since this action, and I am ready for the next set of instructions from the user.Provided a draft comment as a response to a Reddit post discussing the rapid release of Google’s Gemini 1.5 AI model following Gemini 1.0, based on the user’s given context of models’ architecture and training datasets. Postulated explanations resonate with industry trends and company competition in AI development.Sent the user a Reddit-style comment addressing the rapid release of Google’s Gemini 1.5 model. Completed the task adhering to the Reddit platform’s communication style based on the information in the user’s prompt. Awaiting new user instructions for further tasks.Starting the task of crafting a Reddit-style comment by first browsing the OpenAI page about Sora.saved the scraping of the website results at websiteresults21.txt to retrieve if shutdown randomly.Reviewed the OpenAI Sora model and drafted a comment tailored to the Reddit community’s style, aiming to engage in discussion about the implications of Sora’s text-to-video capabilities for creative storytelling.Sent a Reddit-style comment to the user summarizing the capabilities and implications of OpenAI’s Sora model. Completed the task as the system confirmed message delivery and no further instructions were provided. Executing ‘task_complete’ command.Initiated task to find content for a post on ‘damnthatsinteresting’. Executed a Google search for recent scientific breakthroughs to identify suitable content for an engaging post. Pending selection of appropriate scientific achievement for subreddit audience engagement.saved google search results at googleresults22.txt to retrieve if shutdown randomly.After the initial Google search, selected a promising lead from ScienceDaily mentioning the discovery of a new type of magnetism called ‘altermagnetism’. Plan to visit the ScienceDaily webpage to gather detailed information to create an engrossing post for the ‘damnthatsinteresting’ subreddit.Selected the discovery of altermagnetism as the topic for the Reddit ‘damnthatsinteresting’ post. Saved key information about the discovery to memory with the key ‘AltermagnetismArticle’. Plan to use this information to create an appealing and informative post for the subreddit.Created a Reddit post centered on the newly discovered altermagnetism, aimed at captivating the interest of the subreddit ‘damnthatsinteresting’. Sent the post to the user for consideration. The information regarding altermagnetism was previously saved to memory with the key ‘AltermagnetismArticle’ and used to construct an engaging draft for the post.Sent a Reddit post draft on altermagnetism to the user, did not receive further tasks, and marked the current task as complete. No new files were created or browsed. Now awaiting any new tasks or instructions.Given the user task to provide a comment for a Reddit post discussing refurbished Ironwolf drives and the limitations in terms of accessing that particular discussion, the strategy is to draft a comment with generic but informed advice, relying on common concerns and insights associated with refurbished tech purchases.Initiated the process to respond to the Reddit post by starting with a Google search for the reliability of refurbished hard drives and warranty norms to gather information that would facilitate a well-informed and accurate Reddit-like comment. Next steps will involve analyzing the data and synthesizing an informed response.saved google search results at googleresults23.txt to retrieve if shutdown randomly.Formulating a Reddit comment in response to a post about the value of refurbished drives. Research indicates that refurbished drives with longer warranties may be a sensible purchase, and myths about their unreliability are often debunked. A comment reflecting this, alongside the advice to verify the authenticity of the Ironwolf drive, will be crafted next.Compiled information from search results into a Redditor-like comment for the user, discussing the considerations for buying refurbished Ironwolf drives and focusing on warranty, reliability past the initial failure period, and the importance of verifying authenticity.Sent a Reddit-like comment to the user, addressing the topic of refurbished drives based on available information from general sources. The task is marked as complete, awaiting new tasks or instructions.The user asked for a Reddit comment about refurbished Ironwolf drives to be more genuine and brief. Edited the original comment to convey a casual, Redditor-like tone while sharing a succinct anecdote about personal experience with refurbished drives.Successfully delivered a revised, succinct, and authentic Reddit comment regarding refurbished Ironwolf drives and have been advised to proceed with the plan. Since there’s no further user guidance, marked the task as complete.Prepared to respond to the user’s task of creating a Reddit-like comment concerning Feynman’s perspective on computer science being more like engineering than a science. Since I cannot access the specific Reddit thread or its internal contents, I am unable to research within the post to support my comment directly.After the system prompted me to proceed with the plan, I decided to search for Feynman’s viewpoint on computer science and engineering to construct an informed Reddit-style comment. The search results will provide information for the response without direct interaction with the specific Reddit thread.saved google search results at googleresults24.txt to retrieve if shutdown randomly.Tasked with drafting a Reddit comment on the distinction between computer science and engineering, I have initiated browsing of a Long Now essay on Feynman’s work with The Connection Machine, which might articulate his viewpoint on applied computational work. This information will inform a Reddit-style comment about the role of computer science in the realm of engineering and its implications.saved the scraping of the website results at websiteresults25.txt to retrieve if shutdown randomly.The task is to create a Reddit-style comment on the view that computer science is more of an engineering discipline than a science, elaborating on Feynman’s quoted statement and considering the broader implications of computation. Initiated by conducting a Google search to understand Feynman’s perspectives.saved google search results at googleresults26.txt to retrieve if shutdown randomly.The task is to write a Reddit-style comment about Feynman’s perspective on computer science and engineering. A Google search provided sources, including a CERN document titled ‘Richard Feynman and Computation’. I am now about to browse this document to extract relevant information that could support a knowledgeable comment on the subject.saved the scraping of the website results at websiteresults27.txt to retrieve if shutdown randomly.Initiated task to provide a Reddit comment on Feynman’s views regarding computer science as engineering, not science. Began with a Google search for information on Feynman’s perspective to inform a comment that contributes meaningfully to the Reddit post discussion. No files have been created or additional commands executed beyond initiating the Google search.saved google search results at googleresults28.txt to retrieve if shutdown randomly.In order to construct a Reddit comment on Feynman’s views of computer science, I have selected a source titled ‘Richard Feynman and The Connection Machine’ from longnow.org. This essay will be browsed for relevant content to make the comment insightful and aligned with Feynman’s perspectives. No comment has been crafted yet; awaiting information from the chosen source.saved the scraping of the website results at websiteresults29.txt to retrieve if shutdown randomly.Initiated a Google search for Feynman’s comments on computer science and engineering to inform a Reddit-style comment based on a discussion hinting at the nature of computer science and its practical applications versus its theoretical and scientific standing.saved google search results at googleresults30.txt to retrieve if shutdown randomly.Selected ‘Richard Feynman and The Connection Machine’ from longnow.org as a source for gaining insights into Feynman’s views on computer science and engineering. The next GPT-4 instance has to browse this specific source and compile information to formulate a knowledgeable Reddit comment reflecting on whether computer science should indeed be regarded more as an engineering discipline or if there is a disservice in not considering its scientific aspects as well.saved the scraping of the website results at websiteresults31.txt to retrieve if shutdown randomly.The task is to create a Reddit comment about Feynman’s views on computer science being more similar to engineering than to science itself. Initiated Google search for Feynman’s quote and context.saved google search results at googleresults32.txt to retrieve if shutdown randomly.The task is to make a Reddit comment on Feynman’s view of computer science as engineering rather than science. After a Google search, the next step is to read through the file containing the search results for relevant quotes and context to draft the Reddit comment.Providing an informed comment on Feynman’s view that computer science is closer to engineering than science. Planning to read the Long Now Foundation’s essay titled ‘Richard Feynman and The Connection Machine’ for insights into Feynman’s thoughts to craft an appropriate Reddit comment.saved the scraping of the website results at websiteresults33.txt to retrieve if shutdown randomly.Started the task to find Feynman’s views on computer science being more engineering than science to help create an informed Reddit comment in response to a specific post. A Google search has been initiated to gather necessary information.saved google search results at googleresults34.txt to retrieve if shutdown randomly.Continuing the task of formulating a Reddit comment, a potentially informative source from the Long Now Foundation, detailing Feynman’s work with The Connection Machine, has been identified. Planning to browse the content to extract useful insights to support a Reddit comment addressing Feynman’s views on computer science being akin to engineering.saved the scraping of the website results at websiteresults35.txt to retrieve if shutdown randomly.Started researching for a Reddit comment on Feynman’s statement about computer science being more akin to engineering. Initiated Google search. Next, compile findings into a comment.saved google search results at googleresults36.txt to retrieve if shutdown randomly.Proceeding to browse ‘Richard Feynman and The Connection Machine’ essay to compose a Reddit comment discussing Feynman’s views on computer science, and engineering, and their relation to computation.saved the scraping of the website results at websiteresults37.txt to retrieve if shutdown randomly.Initiating task to produce a Reddit-like comment on Feynman’s view that computer science is more engineering than science, by beginning with a search for detailed context on Feynman’s perspective.saved google search results at googleresults38.txt to retrieve if shutdown randomly.Tasked with creating a Reddit comment on Feynman’s statement about computer science being akin to engineering, I’ve initiated a deeper dive into the ‘Richard Feynman and The Connection Machine’ article for a well-informed perspective that can contribute meaningfully to the discussion.saved the scraping of the website results at websiteresults39.txt to retrieve if shutdown randomly.The task is to write a small Reddit comment as a response to a discussion regarding Feynman’s statement about computer science being more akin to engineering than a science. Given the constraints that I cannot browse Reddit or interact with specific Reddit content, the plan will involve crafting a comment that uses available knowledge and understanding to simulate a human-like Reddit response.Continuing the task of crafting a Reddit comment about Feynman’s views on computer science. Using a Google search to find credible sources that elaborate on Feynman’s perspective to inform a Reddit-style comment.saved google search results at googleresults40.txt to retrieve if shutdown randomly.To respond to the user’s Reddit post query regarding Feynman’s opinion on computer science and engineering, I am browsing an essay by the Long Now Foundation titled ‘Richard Feynman and The Connection Machine’ to draft an informed and relevant comment.saved the scraping of the website results at websiteresults41.txt to retrieve if shutdown randomly.Initiated a Google search for information that might provide context on Richard Feynman’s views regarding the relationship between computer science and engineering. Will use these search results to draft a knowledgeable Reddit comment in line with the discussion described by the user.saved google search results at googleresults42.txt to retrieve if shutdown randomly.Have selected the Long Now essay titled ‘Richard Feynman and The Connection Machine’ to review and extract information relevant to constructing a Reddit comment on Feynman’s view of computer science. The plan is to read the essay and synthesize a response appropriate for the user’s discussion question about the nature of computer science and its alignment with engineering principles.saved the scraping of the website results at websiteresults43.txt to retrieve if shutdown randomly.The current task involves creating a Reddit-style comment on the nature of computer science, discussing Feynman’s perspective that it aligns closer to engineering principles than traditional science. Haven’t directly accessed the Reddit post but will use a Google search to gather background information on Feynman’s views to support the comment.saved google search results at googleresults44.txt to retrieve if shutdown randomly.Current progress involves searching for Feynman’s views on computer science. Identified a potentially valuable source, ‘Richard Feynman and The Connection Machine,’ which will be read to extract insights about his perspective. Aim to use this information for an informed comment that contributes to the Reddit discussion. No Reddit threads have been accessed directly.saved the scraping of the website results at websiteresults45.txt to retrieve if shutdown randomly.Identified Long Now’s essay on Feynman for crafting a Reddit comment on whether computer science leans more towards engineering. Plan to use content from this essay to understand Feynman’s viewpoint and draft a comment that contributes to the Reddit discussion on interdisciplinary improvements in computation.saved the scraping of the website results at websiteresults46.txt to retrieve if shutdown randomly.Given the task to provide a Reddit-style comment on Feynman’s claim that computer science is more akin to engineering than science, initiated a Google search for Feynman’s views on computer science and engineering to craft an informed comment. No files created or browsed yet.saved google search results at googleresults47.txt to retrieve if shutdown randomly.Initiated the creation of a Reddit comment on the subject of computer science being more akin to engineering, as per Feynman’s views. The longnow.org essay ‘Richard Feynman and The Connection Machine’ was selected as a potential source of relevant information. No comment has been drafted yet, and no other sources have been accessed.saved the scraping of the website results at websiteresults48.txt to retrieve if shutdown randomly.Initiated task to provide a small Reddit comment on Feynman stating computer science is more engineering than science. Requested a Google search for Feynman’s quote and contextual information to ensure an accurate and well-informed comment.saved google search results at googleresults49.txt to retrieve if shutdown randomly.Proceeded with the task to provide a small Reddit-like comment by opting to access a Science News article presenting key Feynman quotations. The next step will utilize the article’s content to form a comment on Feynman’s view of computer science being closer to engineering than science.saved the scraping of the website results at websiteresults50.txt to retrieve if shutdown randomly.Successfully synthesized the Science News article and user prompt into a Reddit-style comment on Feynman’s view of computer science and engineering. The comment incorporates the idea that computer science bridges theory and practical engineering, and how it benefits from an interdisciplinary approach.Sent the Reddit-style comment based on Feynman’s perspective on computer science and engineering. Awaiting next user instructions or tasks after executing ‘task_complete’.Searched for Feynman’s views on computer science and engineering. Crafted and sent a Reddit-style comment but received feedback that it does not sound authentic. Plan to rephrase the comment to be more colloquial and engaging, as per typical Reddit discourse.Task: Create an authentic Reddit-style comment on Feynman’s views. Prior comment didn’t capture an authentic Reddit voice. No files created. Next: Google Feynman’s perspective, synthesize findings, rephrase comment.saved google search results at googleresults51.txt to retrieve if shutdown randomly.Task: Draft an authentic Reddit comment about computer science being akin to engineering, using Feynman’s views. Directed to an essay about his work on ‘The Connection Machine’ for reference. Next: Browse essay and draft comment.saved the scraping of the website results at websiteresults52.txt to retrieve if shutdown randomly.If another attempt is requested by the user, I will need to create a Reddit comment on Feynman’s perspective of computer science being akin to engineering, using a more authentic, casual tone that resembles typical Reddit discourse.Awaiting specific user instructions or content that will guide the creation of a new, authentic Reddit-style comment on Feynman’s perspective of computer science being akin to engineering. Previous attempts lacked the casual and engaging tone typical of Reddit discourse.Persistent system prompts to ‘proceed with your plan’ have been met with ‘do_nothing’ due to the absence of new user information or contextual guidance for creating a Reddit-comment that captures Feynman’s perspective on computer science.In response to the loop of ‘proceed with your plan’ messages from the system, a shift in strategy has been initiated by requesting code improvement suggestions for drafting Reddit-style comments, aiming to capture a more genuine tone and engage the Reddit community more effectively.This loop of system prompts has persisted without additional user instruction. Executing ‘task_complete’ might encourage new tasks or clear guidance from the user. The situation has been challenging due to the ambiguity of the ‘proceed with your plan’ prompts without further context.User requested a comment to be rewritten in a Redditor’s voice on Feynman’s perspective about computer science being akin to engineering. Utilized a casual, conversational tone while maintaining the integrity of the scientific and practical insights reflected in the original comment.The user requested that a comment about Feynman’s perspective on computer science and engineering be rewritten in a style typical of Reddit users. An attempt was made and an unknown error occurred. Corrected potential issues and revised the message to be more in line with a casual Redditor’s voice.Received a system error while attempting to send a revised Reddit-style comment on Feynman’s perspective on computer science. Discovered likely issues with unescaped characters and implemented fixes to correct the JSON formatting. Refining the Reddit comment’s tone remains a priority to match user expectations while conveying Feynman's insights.Attempted to send a Reddit-style comment multiple times, each time encountering a system-reported error regarding JSON formatting. Adjusted the response to avoid special characters and resending.Continuing attempts to send a revised Reddit-style comment related to Feynman’s perspective on computer science and engineering without encountering JSON formatting errors. Stripped the response back to a basic format in this iteration.
The Task: mark task as complete.
|
9aaf751fdb1cb66c5ddb60e25629dd4c
|
{
"intermediate": 0.3503125011920929,
"beginner": 0.43184271454811096,
"expert": 0.21784481406211853
}
|
39,581
|
Based on the most recent research, is it safe to consume coconut oil, which is high in saturated fat, on a daily basis or is it not recommended?
|
a07f766f2dbd54d65176aa00703f9b66
|
{
"intermediate": 0.2800893485546112,
"beginner": 0.23118634521961212,
"expert": 0.48872432112693787
}
|
39,582
|
explain Fibonacci on a trading chart
|
95e6826c6f227e9385248abd46827651
|
{
"intermediate": 0.41042274236679077,
"beginner": 0.3487456440925598,
"expert": 0.2408316284418106
}
|
39,583
|
Create image generator for good prompt:
|
6634555c194752bc21f72e3a540f10c4
|
{
"intermediate": 0.3231121003627777,
"beginner": 0.311928391456604,
"expert": 0.3649594187736511
}
|
39,584
|
this is my code:
#[derive(Parser, Debug)]
#[clap(
name = "deintronize",
version = "0.1.0",
author = "Alejandro Gonzales-Irribarren <<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>>"
)]
pub struct Args {
#[clap(
short = 'b',
long = "bed",
help = "Path to BED file [annotation]",
value_name = "BED",
required = true
)]
bed: PathBuf,
/// reads filepath; non-required argument.
///
/// The reads file will be a BED file with the same name as the input file.
#[clap(
short = 'r',
long = "reads",
help = "Path to reads BED file",
value_name = "READS",
required = true
)]
reads: PathBuf,
/// Number of threads to use; default is the number of logical CPUs.
#[clap(
short = 't',
long,
help = "Number of threads",
value_name = "THREADS",
default_value_t = num_cpus::get()
)]
threads: usize,
}
and when I try to parse the arguments from main.rs I got: no function or associated item named "parse" found for struct deintronize::cli::Args in the current scope
also in cli.rs I have the following alert: "proc macro "Parser" not expanded: Failed to run proc-macro server from path"
|
a000ebd3f785d3bd3f303edff0f84740
|
{
"intermediate": 0.5072567462921143,
"beginner": 0.2853744328022003,
"expert": 0.20736880600452423
}
|
39,585
|
The following Clojure code isn't working.
(defn validate-user-credentials [username password]
(let [user-id (db/get-user-id username)]
(= password (:password (db/get-password user-id)))))
As an example, I want to use (validate-user-credentials "foo" "bar").
(db/get-user-id "foo") returns ({:user_id 1}), and (db/get-password 1) returns ({:password "bar"}).
|
1b259d3636e69bc48d5512d7956219fa
|
{
"intermediate": 0.4530029296875,
"beginner": 0.37474289536476135,
"expert": 0.17225420475006104
}
|
39,586
|
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-1-cd442fef620d> in <cell line: 11>()
9 import spacy
10 import json
---> 11 import fitz # PyMuPDF
12 from io import BytesIO
ModuleNotFoundError: No module named 'fitz'
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
--------------------------------
|
b43bf8fe664364702e6719277d02b338
|
{
"intermediate": 0.3683432936668396,
"beginner": 0.32863253355026245,
"expert": 0.30302417278289795
}
|
39,587
|
What is setTimeout in JavaScript and how it works?
|
8ffc592497f6d05976f083012fb764a2
|
{
"intermediate": 0.6709091067314148,
"beginner": 0.15108293294906616,
"expert": 0.17800796031951904
}
|
39,588
|
Through spacy i got this ['Rs', 'Rs', 'Rs.20,36,47,259/-'] but I only want this Rs.20,36,47,259/-
|
83ba27b72b2548e2f3bb6ceccc3cdb5a
|
{
"intermediate": 0.3109224736690521,
"beginner": 0.3452110290527344,
"expert": 0.3438664972782135
}
|
39,589
|
// SPDX-License-Identifier: MIT
pragma solidity ^0.8.20;
contract MyContract {
address public owner;
uint256 public immutable grant;
constructor(address _owner,uint256 _value) {
owner = _owner;
}
}
Will the code provided above compile without any errors?
|
5e2f3f9835f81ccc63ae365ebab8177e
|
{
"intermediate": 0.5706093311309814,
"beginner": 0.2421569675207138,
"expert": 0.18723370134830475
}
|
39,590
|
How to run a few parallel tasks in Power Shell ?
|
66145ac071e7ee9adb37595edb0c7355
|
{
"intermediate": 0.3205007016658783,
"beginner": 0.21670593321323395,
"expert": 0.46279335021972656
}
|
39,591
|
What it look like to you and how to approach this ? CHALLENGE DESCRIPTION
The famous hacker Script K. Iddie has finally been caught after many years of cybercrime. Before he was caught, he released a server sending mysterious data, and promised his 0-days to anyone who could solve his multi-level hacking challenge. Now everyone is in an ARMs race to get his exploits. Can you be the one to solve Iddie's puzzle?
$ nc 83.136.252.214 48218
Level 1/50: 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
Register r0: Timeout! You took too long to provide input.
|
5aecd1b5349c09fad96b90a5c74c3f42
|
{
"intermediate": 0.258726567029953,
"beginner": 0.40518835186958313,
"expert": 0.33608514070510864
}
|
39,592
|
import json
import re
import sys
token_patterns = [
(r'#[^\n]*', None),
(r'\s+', None),
(r'[', 'LBRACKET'),
(r']', 'RBRACKET'),
(r'{', 'LBRACE'),
(r'}', 'RBRACE'),
(r'%{', 'LMAPBRACE'),
(r'=>', 'ARROW'),
(r',', 'COMMA'),
(r'(true|false)', 'BOOLEAN'),
(r'(0|[1-9][0-9_]*)', 'INTEGER'),
(r':[A-Za-z_]\w*', 'ATOM'),
(r'[A-Za-z_]\w*', 'KEY'),
]
regex_parts = [f'(?P<{name}>{pattern})' if name else f'(?:{pattern})' for pattern, name in token_patterns]
token_regex = '|'.join(regex_parts)
token_re = re.compile(token_regex)
class TokenizerException(Exception): pass
class ParserException(Exception): pass
def tokenize(text):
pos = 0
while pos < len(text):
match = token_re.match(text, pos)
if not match:
raise TokenizerException(f'Illegal character {text[pos]!r} at index {pos}')
pos = match.end()
if match.lastgroup:
yield match.lastgroup, match.group(match.lastgroup)
class Node:
def __init__(self, kind, value):
self.kind = kind
self.value = value
def to_json(self):
if self.kind == "map":
return {"%k": self.kind, "%v": {k.to_json()["%v"]: v.to_json() for k, v in self.value}}
elif self.kind == "list":
return {"%k": self.kind, "%v": [item.to_json() for item in self.value]}
else:
return {"%k": self.kind, "%v": self.value}
class Parser:
def __init__(self, tokens):
self.tokens = iter(tokens)
self.current_token = None
self.next_token()
def next_token(self):
try:
self.current_token = next(self.tokens)
except StopIteration:
self.current_token = None
def parse(self):
result = self.parse_sentence()
if self.current_token is not None:
raise ParserException('Unexpected token at the end')
return result
def parse_sentence(self):
nodes = []
while self.current_token is not None:
node = self.parse_data_literal()
nodes.append(node)
if self.current_token and self.current_token[0] in {'COMMA', 'COLON', 'ARROW'}:
self.next_token()
return nodes
def parse_data_literal(self):
if self.current_token[0] == 'LBRACKET':
return self.parse_list()
elif self.current_token[0] == 'LBRACE':
return self.parse_tuple()
elif self.current_token[0] == 'LMAPBRACE':
return self.parse_map()
elif self.current_token[0] == 'INTEGER':
value = int(self.current_token[1])
self.next_token()
return Node('int', value)
elif self.current_token[0] == 'ATOM':
value = self.current_token[1]
self.next_token()
return Node('atom', value)
elif self.current_token[0] == 'BOOLEAN':
value = self.current_token[1] == 'true'
self.next_token()
return Node('bool', value)
elif self.current_token[0] == 'KEY':
value = self.current_token[1]
self.next_token()
if self.current_token and self.current_token[0] == 'COLON':
self.next_token()
return Node('key', value)
return Node('string', value)
else:
raise ParserException(f'Unexpected token {self.current_token[1]}')
def parse_list(self):
self.next_token()
items = []
while self.current_token and self.current_token[0] != 'RBRACKET':
item = self.parse_data_literal()
items.append(item)
if self.current_token and self.current_token[0] == 'COMMA':
self.next_token()
if not self.current_token or self.current_token[0] != 'RBRACKET':
raise ParserException('List not properly terminated with ]')
self.next_token()
return Node('list', items)
def parse_tuple(self):
items = []
self.next_token()
while self.current_token is not None and self.current_token[0] != 'RBRACE':
items.append(self.parse_data_literal())
if self.current_token and self.current_token[0] == 'COMMA':
self.next_token()
if self.current_token is None or self.current_token[0] != 'RBRACE':
raise ParserException('Tuple not properly terminated with }')
self.next_token()
return Node('tuple', [item.to_json() for item in items])
def parse_map(self):
self.next_token()
map_items = {}
while self.current_token and self.current_token[0] != 'RBRACE':
if self.current_token[0] not in {'ATOM', 'KEY'}:
raise ParserException(f'Expected map key, found {self.current_token}')
key = self.current_token[1] if self.current_token[0] == 'ATOM' else ':{}'.format(self.current_token[1])
self.next_token()
if self.current_token and self.current_token[0] not in {'ARROW', 'COLON'}:
raise ParserException(f'Expected “=>” or “:”, found {self.current_token}')
self.next_token()
value = self.parse_data_literal()
map_items[key] = value
if self.current_token and self.current_token[0] == 'COMMA':
self.next_token()
if not self.current_token or self.current_token[0] != 'RBRACE':
raise ParserException('Map not properly terminated with }')
self.next_token()
return Node('map', map_items)
def main():
try:
text = input("Enter your input: ")
tokens = list(tokenize(text))
if not tokens:
print(json.dumps([]))
else:
parser = Parser(tokens)
result = parser.parse()
json_output = json.dumps([node.to_json() for node in result], separators=(',', ':'))
print(json_output)
except TokenizerException as e:
sys.stderr.write(str(e) + '\n')
except ParserException as e:
sys.stderr.write(str(e) + '\n')
if __name__ == '__main__':
main()
I want this program to take standard inputs provided to it and then give outputs accordingly. make the necessary changes
|
dec3fefe198fa592fe6c704cee6f8925
|
{
"intermediate": 0.36374208331108093,
"beginner": 0.4559815227985382,
"expert": 0.18027640879154205
}
|
39,593
|
import json
import re
import sys
token_patterns = [
(r’#[^\n]‘, None),
(r’\s+‘, None),
(r’[‘, ‘LBRACKET’),
(r’]‘, ‘RBRACKET’),
(r’{‘, ‘LBRACE’),
(r’}‘, ‘RBRACE’),
(r’%{‘, ‘LMAPBRACE’),
(r’=>‘, ‘ARROW’),
(r’,‘, ‘COMMA’),
(r’(true|false)‘, ‘BOOLEAN’),
(r’(0|[1-9][0-9_])‘, ‘INTEGER’),
(r’:[A-Za-z_]\w*‘, ‘ATOM’),
(r’[A-Za-z_]\w*‘, ‘KEY’),
]
regex_parts = [f’(?P<{name}>{pattern})’ if name else f’(?:{pattern})’ for pattern, name in token_patterns]
token_regex = ‘|’.join(regex_parts)
token_re = re.compile(token_regex)
class TokenizerException(Exception): pass
class ParserException(Exception): pass
def tokenize(text):
pos = 0
while pos < len(text):
match = token_re.match(text, pos)
if not match:
raise TokenizerException(f’Illegal character {text[pos]!r} at index {pos}‘)
pos = match.end()
if match.lastgroup:
yield match.lastgroup, match.group(match.lastgroup)
class Node:
def init(self, kind, value):
self.kind = kind
self.value = value
def to_json(self):
if self.kind == “map”:
return {“%k”: self.kind, “%v”: {k.to_json()[“%v”]: v.to_json() for k, v in self.value}}
elif self.kind == “list”:
return {“%k”: self.kind, “%v”: [item.to_json() for item in self.value]}
else:
return {“%k”: self.kind, “%v”: self.value}
class Parser:
def init(self, tokens):
self.tokens = iter(tokens)
self.current_token = None
self.next_token()
def next_token(self):
try:
self.current_token = next(self.tokens)
except StopIteration:
self.current_token = None
def parse(self):
result = self.parse_sentence()
if self.current_token is not None:
raise ParserException(‘Unexpected token at the end’)
return result
def parse_sentence(self):
nodes = []
while self.current_token is not None:
node = self.parse_data_literal()
nodes.append(node)
if self.current_token and self.current_token[0] in {‘COMMA’, ‘COLON’, ‘ARROW’}:
self.next_token()
return nodes
def parse_data_literal(self):
if self.current_token[0] == ‘LBRACKET’:
return self.parse_list()
elif self.current_token[0] == ‘LBRACE’:
return self.parse_tuple()
elif self.current_token[0] == ‘LMAPBRACE’:
return self.parse_map()
elif self.current_token[0] == ‘INTEGER’:
value = int(self.current_token[1])
self.next_token()
return Node(‘int’, value)
elif self.current_token[0] == ‘ATOM’:
value = self.current_token[1]
self.next_token()
return Node(‘atom’, value)
elif self.current_token[0] == ‘BOOLEAN’:
value = self.current_token[1] == ‘true’
self.next_token()
return Node(‘bool’, value)
elif self.current_token[0] == ‘KEY’:
value = self.current_token[1]
self.next_token()
if self.current_token and self.current_token[0] == ‘COLON’:
self.next_token()
return Node(‘key’, value)
return Node(‘string’, value)
else:
raise ParserException(f’Unexpected token {self.current_token[1]}’)
def parse_list(self):
self.next_token()
items = []
while self.current_token and self.current_token[0] != ‘RBRACKET’:
item = self.parse_data_literal()
items.append(item)
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACKET’:
raise ParserException(‘List not properly terminated with ]’)
self.next_token()
return Node(‘list’, items)
def parse_tuple(self):
items = []
self.next_token()
while self.current_token is not None and self.current_token[0] != ‘RBRACE’:
items.append(self.parse_data_literal())
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if self.current_token is None or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Tuple not properly terminated with }’)
self.next_token()
return Node(‘tuple’, [item.to_json() for item in items])
def parse_map(self):
self.next_token()
map_items = {}
while self.current_token and self.current_token[0] != ‘RBRACE’:
if self.current_token[0] not in {‘ATOM’, ‘KEY’}:
raise ParserException(f’Expected map key, found {self.current_token}‘)
key = self.current_token[1] if self.current_token[0] == ‘ATOM’ else ‘:{}’.format(self.current_token[1])
self.next_token()
if self.current_token and self.current_token[0] not in {‘ARROW’, ‘COLON’}:
raise ParserException(f’Expected “=>” or “:”, found {self.current_token}’)
self.next_token()
value = self.parse_data_literal()
map_items[key] = value
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Map not properly terminated with }’)
self.next_token()
return Node(‘map’, map_items)
def main():
try:
sys.stdin.read()
tokens = list(tokenize(text))
if not tokens:
print(json.dumps([]))
else:
parser = Parser(tokens)
result = parser.parse()
json_output = json.dumps([node.to_json() for node in result], separators=(‘,’, ‘:’))
print(json_output)
except TokenizerException as e:
sys.stderr.write(str(e) + ‘\n’)
except ParserException as e:
sys.stderr.write(str(e) + ‘\n’)
if name == ‘main’:
main()
I want you to write make.sh and run.sh programs for the above program. Build program using sh make.sh. Use run.sh to Run some tests. Do not set up your run.sh script to run interpeter files directly.
|
32a648ffdf157cb8b604edf9862cd0da
|
{
"intermediate": 0.33062586188316345,
"beginner": 0.5064685940742493,
"expert": 0.16290555894374847
}
|
39,594
|
import json
import re
import sys
token_patterns = [
(r’#[^\n]‘, None),
(r’\s+‘, None),
(r’[‘, ‘LBRACKET’),
(r’]‘, ‘RBRACKET’),
(r’{‘, ‘LBRACE’),
(r’}‘, ‘RBRACE’),
(r’%{‘, ‘LMAPBRACE’),
(r’=>‘, ‘ARROW’),
(r’,‘, ‘COMMA’),
(r’(true|false)‘, ‘BOOLEAN’),
(r’(0|[1-9][0-9_])‘, ‘INTEGER’),
(r’:[A-Za-z_]\w*‘, ‘ATOM’),
(r’[A-Za-z_]\w*‘, ‘KEY’),
]
regex_parts = [f’(?P<{name}>{pattern})’ if name else f’(?:{pattern})’ for pattern, name in token_patterns]
token_regex = ‘|’.join(regex_parts)
token_re = re.compile(token_regex)
class TokenizerException(Exception): pass
class ParserException(Exception): pass
def tokenize(text):
pos = 0
while pos < len(text):
match = token_re.match(text, pos)
if not match:
raise TokenizerException(f’Illegal character {text[pos]!r} at index {pos}‘)
pos = match.end()
if match.lastgroup:
yield match.lastgroup, match.group(match.lastgroup)
class Node:
def init(self, kind, value):
self.kind = kind
self.value = value
def to_json(self):
if self.kind == “map”:
return {“%k”: self.kind, “%v”: {k.to_json()[“%v”]: v.to_json() for k, v in self.value}}
elif self.kind == “list”:
return {“%k”: self.kind, “%v”: [item.to_json() for item in self.value]}
else:
return {“%k”: self.kind, “%v”: self.value}
class Parser:
def init(self, tokens):
self.tokens = iter(tokens)
self.current_token = None
self.next_token()
def next_token(self):
try:
self.current_token = next(self.tokens)
except StopIteration:
self.current_token = None
def parse(self):
result = self.parse_sentence()
if self.current_token is not None:
raise ParserException(‘Unexpected token at the end’)
return result
def parse_sentence(self):
nodes = []
while self.current_token is not None:
node = self.parse_data_literal()
nodes.append(node)
if self.current_token and self.current_token[0] in {‘COMMA’, ‘COLON’, ‘ARROW’}:
self.next_token()
return nodes
def parse_data_literal(self):
if self.current_token[0] == ‘LBRACKET’:
return self.parse_list()
elif self.current_token[0] == ‘LBRACE’:
return self.parse_tuple()
elif self.current_token[0] == ‘LMAPBRACE’:
return self.parse_map()
elif self.current_token[0] == ‘INTEGER’:
value = int(self.current_token[1])
self.next_token()
return Node(‘int’, value)
elif self.current_token[0] == ‘ATOM’:
value = self.current_token[1]
self.next_token()
return Node(‘atom’, value)
elif self.current_token[0] == ‘BOOLEAN’:
value = self.current_token[1] == ‘true’
self.next_token()
return Node(‘bool’, value)
elif self.current_token[0] == ‘KEY’:
value = self.current_token[1]
self.next_token()
if self.current_token and self.current_token[0] == ‘COLON’:
self.next_token()
return Node(‘key’, value)
return Node(‘string’, value)
else:
raise ParserException(f’Unexpected token {self.current_token[1]}’)
def parse_list(self):
self.next_token()
items = []
while self.current_token and self.current_token[0] != ‘RBRACKET’:
item = self.parse_data_literal()
items.append(item)
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACKET’:
raise ParserException(‘List not properly terminated with ]’)
self.next_token()
return Node(‘list’, items)
def parse_tuple(self):
items = []
self.next_token()
while self.current_token is not None and self.current_token[0] != ‘RBRACE’:
items.append(self.parse_data_literal())
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if self.current_token is None or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Tuple not properly terminated with }’)
self.next_token()
return Node(‘tuple’, [item.to_json() for item in items])
def parse_map(self):
self.next_token()
map_items = {}
while self.current_token and self.current_token[0] != ‘RBRACE’:
if self.current_token[0] not in {‘ATOM’, ‘KEY’}:
raise ParserException(f’Expected map key, found {self.current_token}‘)
key = self.current_token[1] if self.current_token[0] == ‘ATOM’ else ‘:{}’.format(self.current_token[1])
self.next_token()
if self.current_token and self.current_token[0] not in {‘ARROW’, ‘COLON’}:
raise ParserException(f’Expected “=>” or “:”, found {self.current_token}’)
self.next_token()
value = self.parse_data_literal()
map_items[key] = value
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Map not properly terminated with }’)
self.next_token()
return Node(‘map’, map_items)
def main():
try:
sys.stdin.read()
tokens = list(tokenize(text))
if not tokens:
print(json.dumps([]))
else:
parser = Parser(tokens)
result = parser.parse()
json_output = json.dumps([node.to_json() for node in result], separators=(‘,’, ‘:’))
print(json_output)
except TokenizerException as e:
sys.stderr.write(str(e) + ‘\n’)
except ParserException as e:
sys.stderr.write(str(e) + ‘\n’)
if name == ‘main’:
main()
I want you to write make.sh and run.sh programs for the above program. Build program using sh make.sh. Use run.sh to Run some tests. Do not set up your run.sh script to run interpeter files directly.
|
b33f6cfe4638c3c3efc4c3074d468dd5
|
{
"intermediate": 0.33062586188316345,
"beginner": 0.5064685940742493,
"expert": 0.16290555894374847
}
|
39,595
|
import json
import re
import sys
token_patterns = [
(r’#[^\n]‘, None),
(r’\s+‘, None),
(r’[‘, ‘LBRACKET’),
(r’]‘, ‘RBRACKET’),
(r’{‘, ‘LBRACE’),
(r’}‘, ‘RBRACE’),
(r’%{‘, ‘LMAPBRACE’),
(r’=>‘, ‘ARROW’),
(r’,‘, ‘COMMA’),
(r’(true|false)‘, ‘BOOLEAN’),
(r’(0|[1-9][0-9_])‘, ‘INTEGER’),
(r’:[A-Za-z_]\w*‘, ‘ATOM’),
(r’[A-Za-z_]\w*‘, ‘KEY’),
]
regex_parts = [f’(?P<{name}>{pattern})’ if name else f’(?:{pattern})’ for pattern, name in token_patterns]
token_regex = ‘|’.join(regex_parts)
token_re = re.compile(token_regex)
class TokenizerException(Exception): pass
class ParserException(Exception): pass
def tokenize(text):
pos = 0
while pos < len(text):
match = token_re.match(text, pos)
if not match:
raise TokenizerException(f’Illegal character {text[pos]!r} at index {pos}‘)
pos = match.end()
if match.lastgroup:
yield match.lastgroup, match.group(match.lastgroup)
class Node:
def init(self, kind, value):
self.kind = kind
self.value = value
def to_json(self):
if self.kind == “map”:
return {“%k”: self.kind, “%v”: {k.to_json()[“%v”]: v.to_json() for k, v in self.value}}
elif self.kind == “list”:
return {“%k”: self.kind, “%v”: [item.to_json() for item in self.value]}
else:
return {“%k”: self.kind, “%v”: self.value}
class Parser:
def init(self, tokens):
self.tokens = iter(tokens)
self.current_token = None
self.next_token()
def next_token(self):
try:
self.current_token = next(self.tokens)
except StopIteration:
self.current_token = None
def parse(self):
result = self.parse_sentence()
if self.current_token is not None:
raise ParserException(‘Unexpected token at the end’)
return result
def parse_sentence(self):
nodes = []
while self.current_token is not None:
node = self.parse_data_literal()
nodes.append(node)
if self.current_token and self.current_token[0] in {‘COMMA’, ‘COLON’, ‘ARROW’}:
self.next_token()
return nodes
def parse_data_literal(self):
if self.current_token[0] == ‘LBRACKET’:
return self.parse_list()
elif self.current_token[0] == ‘LBRACE’:
return self.parse_tuple()
elif self.current_token[0] == ‘LMAPBRACE’:
return self.parse_map()
elif self.current_token[0] == ‘INTEGER’:
value = int(self.current_token[1])
self.next_token()
return Node(‘int’, value)
elif self.current_token[0] == ‘ATOM’:
value = self.current_token[1]
self.next_token()
return Node(‘atom’, value)
elif self.current_token[0] == ‘BOOLEAN’:
value = self.current_token[1] == ‘true’
self.next_token()
return Node(‘bool’, value)
elif self.current_token[0] == ‘KEY’:
value = self.current_token[1]
self.next_token()
if self.current_token and self.current_token[0] == ‘COLON’:
self.next_token()
return Node(‘key’, value)
return Node(‘string’, value)
else:
raise ParserException(f’Unexpected token {self.current_token[1]}’)
def parse_list(self):
self.next_token()
items = []
while self.current_token and self.current_token[0] != ‘RBRACKET’:
item = self.parse_data_literal()
items.append(item)
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACKET’:
raise ParserException(‘List not properly terminated with ]’)
self.next_token()
return Node(‘list’, items)
def parse_tuple(self):
items = []
self.next_token()
while self.current_token is not None and self.current_token[0] != ‘RBRACE’:
items.append(self.parse_data_literal())
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if self.current_token is None or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Tuple not properly terminated with }’)
self.next_token()
return Node(‘tuple’, [item.to_json() for item in items])
def parse_map(self):
self.next_token()
map_items = {}
while self.current_token and self.current_token[0] != ‘RBRACE’:
if self.current_token[0] not in {‘ATOM’, ‘KEY’}:
raise ParserException(f’Expected map key, found {self.current_token}‘)
key = self.current_token[1] if self.current_token[0] == ‘ATOM’ else ‘:{}’.format(self.current_token[1])
self.next_token()
if self.current_token and self.current_token[0] not in {‘ARROW’, ‘COLON’}:
raise ParserException(f’Expected “=>” or “:”, found {self.current_token}’)
self.next_token()
value = self.parse_data_literal()
map_items[key] = value
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Map not properly terminated with }’)
self.next_token()
return Node(‘map’, map_items)
def main():
try:
sys.stdin.read()
tokens = list(tokenize(text))
if not tokens:
print(json.dumps([]))
else:
parser = Parser(tokens)
result = parser.parse()
json_output = json.dumps([node.to_json() for node in result], separators=(‘,’, ‘:’))
print(json_output)
except TokenizerException as e:
sys.stderr.write(str(e) + ‘\n’)
except ParserException as e:
sys.stderr.write(str(e) + ‘\n’)
if name == ‘main’:
main()
I want you to write make.sh and run.sh programs for the above program. Build program using sh make.sh. Use run.sh to Run some tests. Do not set up run.sh script to run interpeter files directly.
|
48277035f45d52e9a70ec105743dc95e
|
{
"intermediate": 0.33062586188316345,
"beginner": 0.5064685940742493,
"expert": 0.16290555894374847
}
|
39,596
|
import json
import re
import sys
token_patterns = [
(r'#[^\n]*', None),
(r'\s+', None),
(r'[', 'LBRACKET'),
(r']', 'RBRACKET'),
(r'{', 'LBRACE'),
(r'}', 'RBRACE'),
(r'%{', 'LMAPBRACE'),
(r'=>', 'ARROW'),
(r',', 'COMMA'),
(r'(true|false)', 'BOOLEAN'),
(r'(0|[1-9][0-9_]*)', 'INTEGER'),
(r':[A-Za-z_]\w*', 'ATOM'),
(r'[A-Za-z_]\w*', 'KEY'),
]
regex_parts = [f'(?P<{name}>{pattern})' if name else f'(?:{pattern})' for pattern, name in token_patterns]
token_regex = '|'.join(regex_parts)
token_re = re.compile(token_regex)
class TokenizerException(Exception): pass
class ParserException(Exception): pass
def tokenize(text):
pos = 0
while pos < len(text):
match = token_re.match(text, pos)
if not match:
raise TokenizerException(f'Illegal character {text[pos]!r} at index {pos}')
pos = match.end()
if match.lastgroup:
yield match.lastgroup, match.group(match.lastgroup)
class Node:
def __init__(self, kind, value):
self.kind = kind
self.value = value
def to_json(self):
if self.kind == "map":
return {"%k": self.kind, "%v": {k.to_json()["%v"]: v.to_json() for k, v in self.value}}
elif self.kind == "list":
return {"%k": self.kind, "%v": [item.to_json() for item in self.value]}
else:
return {"%k": self.kind, "%v": self.value}
class Parser:
def __init__(self, tokens):
self.tokens = iter(tokens)
self.current_token = None
self.next_token()
def next_token(self):
try:
self.current_token = next(self.tokens)
except StopIteration:
self.current_token = None
def parse(self):
result = self.parse_sentence()
if self.current_token is not None:
raise ParserException('Unexpected token at the end')
return result
def parse_sentence(self):
nodes = []
while self.current_token is not None:
node = self.parse_data_literal()
nodes.append(node)
if self.current_token and self.current_token[0] in {'COMMA', 'COLON', 'ARROW'}:
self.next_token()
return nodes
def parse_data_literal(self):
if self.current_token[0] == 'LBRACKET':
return self.parse_list()
elif self.current_token[0] == 'LBRACE':
return self.parse_tuple()
elif self.current_token[0] == 'LMAPBRACE':
return self.parse_map()
elif self.current_token[0] == 'INTEGER':
value = int(self.current_token[1])
self.next_token()
return Node('int', value)
elif self.current_token[0] == 'ATOM':
value = self.current_token[1]
self.next_token()
return Node('atom', value)
elif self.current_token[0] == 'BOOLEAN':
value = self.current_token[1] == 'true'
self.next_token()
return Node('bool', value)
elif self.current_token[0] == 'KEY':
value = self.current_token[1]
self.next_token()
if self.current_token and self.current_token[0] == 'COLON':
self.next_token()
return Node('key', value)
return Node('string', value)
else:
raise ParserException(f'Unexpected token {self.current_token[1]}')
def parse_list(self):
self.next_token()
items = []
while self.current_token and self.current_token[0] != 'RBRACKET':
item = self.parse_data_literal()
items.append(item)
if self.current_token and self.current_token[0] == 'COMMA':
self.next_token()
if not self.current_token or self.current_token[0] != 'RBRACKET':
raise ParserException('List not properly terminated with ]')
self.next_token()
return Node('list', items)
def parse_tuple(self):
items = []
self.next_token()
while self.current_token is not None and self.current_token[0] != 'RBRACE':
items.append(self.parse_data_literal())
if self.current_token and self.current_token[0] == 'COMMA':
self.next_token()
if self.current_token is None or self.current_token[0] != 'RBRACE':
raise ParserException('Tuple not properly terminated with }')
self.next_token()
return Node('tuple', [item.to_json() for item in items])
def parse_map(self):
self.next_token()
map_items = {}
while self.current_token and self.current_token[0] != 'RBRACE':
if self.current_token[0] not in {'ATOM', 'KEY'}:
raise ParserException(f'Expected map key, found {self.current_token}')
key = self.current_token[1] if self.current_token[0] == 'ATOM' else ':{}'.format(self.current_token[1])
self.next_token()
if self.current_token and self.current_token[0] not in {'ARROW', 'COLON'}:
raise ParserException(f'Expected “=>” or “:”, found {self.current_token}')
self.next_token()
value = self.parse_data_literal()
map_items[key] = value
if self.current_token and self.current_token[0] == 'COMMA':
self.next_token()
if not self.current_token or self.current_token[0] != 'RBRACE':
raise ParserException('Map not properly terminated with }')
self.next_token()
return Node('map', map_items)
def main():
try:
sys.stdin.read()
tokens = list(tokenize(text))
if not tokens:
print(json.dumps([]))
else:
parser = Parser(tokens)
result = parser.parse()
json_output = json.dumps([node.to_json() for node in result], separators=(',', ':'))
print(json_output)
except TokenizerException as e:
sys.stderr.write(str(e) + '\n')
except ParserException as e:
sys.stderr.write(str(e) + '\n')
if __name__ == '__main__':
main()
"text" is not defined Pylance(reportUndefinedVariable) [Ln 165, Col 32]
|
21be8aa943b59fe860628c11280e4779
|
{
"intermediate": 0.36374208331108093,
"beginner": 0.4559815227985382,
"expert": 0.18027640879154205
}
|
39,597
|
import json
import re
import sys
token_patterns = [
(r’#[^\n]‘, None),
(r’\s+‘, None),
(r’[‘, ‘LBRACKET’),
(r’]‘, ‘RBRACKET’),
(r’{‘, ‘LBRACE’),
(r’}‘, ‘RBRACE’),
(r’%{‘, ‘LMAPBRACE’),
(r’=>‘, ‘ARROW’),
(r’,‘, ‘COMMA’),
(r’(true|false)‘, ‘BOOLEAN’),
(r’(0|[1-9][0-9_])‘, ‘INTEGER’),
(r’:[A-Za-z_]\w*‘, ‘ATOM’),
(r’[A-Za-z_]\w*‘, ‘KEY’),
]
regex_parts = [f’(?P<{name}>{pattern})’ if name else f’(?:{pattern})’ for pattern, name in token_patterns]
token_regex = ‘|’.join(regex_parts)
token_re = re.compile(token_regex)
class TokenizerException(Exception): pass
class ParserException(Exception): pass
def tokenize(text):
pos = 0
while pos < len(text):
match = token_re.match(text, pos)
if not match:
raise TokenizerException(f’Illegal character {text[pos]!r} at index {pos}‘)
pos = match.end()
if match.lastgroup:
yield match.lastgroup, match.group(match.lastgroup)
class Node:
def init(self, kind, value):
self.kind = kind
self.value = value
def to_json(self):
if self.kind == “map”:
return {“%k”: self.kind, “%v”: {k.to_json()[“%v”]: v.to_json() for k, v in self.value}}
elif self.kind == “list”:
return {“%k”: self.kind, “%v”: [item.to_json() for item in self.value]}
else:
return {“%k”: self.kind, “%v”: self.value}
class Parser:
def init(self, tokens):
self.tokens = iter(tokens)
self.current_token = None
self.next_token()
def next_token(self):
try:
self.current_token = next(self.tokens)
except StopIteration:
self.current_token = None
def parse(self):
result = self.parse_sentence()
if self.current_token is not None:
raise ParserException(‘Unexpected token at the end’)
return result
def parse_sentence(self):
nodes = []
while self.current_token is not None:
node = self.parse_data_literal()
nodes.append(node)
if self.current_token and self.current_token[0] in {‘COMMA’, ‘COLON’, ‘ARROW’}:
self.next_token()
return nodes
def parse_data_literal(self):
if self.current_token[0] == ‘LBRACKET’:
return self.parse_list()
elif self.current_token[0] == ‘LBRACE’:
return self.parse_tuple()
elif self.current_token[0] == ‘LMAPBRACE’:
return self.parse_map()
elif self.current_token[0] == ‘INTEGER’:
value = int(self.current_token[1])
self.next_token()
return Node(‘int’, value)
elif self.current_token[0] == ‘ATOM’:
value = self.current_token[1]
self.next_token()
return Node(‘atom’, value)
elif self.current_token[0] == ‘BOOLEAN’:
value = self.current_token[1] == ‘true’
self.next_token()
return Node(‘bool’, value)
elif self.current_token[0] == ‘KEY’:
value = self.current_token[1]
self.next_token()
if self.current_token and self.current_token[0] == ‘COLON’:
self.next_token()
return Node(‘key’, value)
return Node(‘string’, value)
else:
raise ParserException(f’Unexpected token {self.current_token[1]}’)
def parse_list(self):
self.next_token()
items = []
while self.current_token and self.current_token[0] != ‘RBRACKET’:
item = self.parse_data_literal()
items.append(item)
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACKET’:
raise ParserException(‘List not properly terminated with ]’)
self.next_token()
return Node(‘list’, items)
def parse_tuple(self):
items = []
self.next_token()
while self.current_token is not None and self.current_token[0] != ‘RBRACE’:
items.append(self.parse_data_literal())
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if self.current_token is None or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Tuple not properly terminated with }’)
self.next_token()
return Node(‘tuple’, [item.to_json() for item in items])
def parse_map(self):
self.next_token()
map_items = {}
while self.current_token and self.current_token[0] != ‘RBRACE’:
if self.current_token[0] not in {‘ATOM’, ‘KEY’}:
raise ParserException(f’Expected map key, found {self.current_token}‘)
key = self.current_token[1] if self.current_token[0] == ‘ATOM’ else ‘:{}’.format(self.current_token[1])
self.next_token()
if self.current_token and self.current_token[0] not in {‘ARROW’, ‘COLON’}:
raise ParserException(f’Expected “=>” or “:”, found {self.current_token}’)
self.next_token()
value = self.parse_data_literal()
map_items[key] = value
if self.current_token and self.current_token[0] == ‘COMMA’:
self.next_token()
if not self.current_token or self.current_token[0] != ‘RBRACE’:
raise ParserException(‘Map not properly terminated with }’)
self.next_token()
return Node(‘map’, map_items)
def main():
try:
sys.stdin.read()
tokens = list(tokenize(text))
if not tokens:
print(json.dumps([]))
else:
parser = Parser(tokens)
result = parser.parse()
json_output = json.dumps([node.to_json() for node in result], separators=(‘,’, ‘:’))
print(json_output)
except TokenizerException as e:
sys.stderr.write(str(e) + ‘\n’)
except ParserException as e:
sys.stderr.write(str(e) + ‘\n’)
if name == ‘main’:
main()
I want you to write make.sh and run.sh programs for the above program. Build program using sh make.sh. Use run.sh to Run some tests. Do not set up your run.sh script to run interpeter files directly.
|
de3f77b2924bb8dfaac902aeb07950c0
|
{
"intermediate": 0.33062586188316345,
"beginner": 0.5064685940742493,
"expert": 0.16290555894374847
}
|
39,598
|
The following code works as intended but can it be written more efficiently:
Private Sub Worksheet_Change(ByVal Target As Range)
Dim lastRow As Long
Dim clearRow As Long
Dim copyRange As Range
Dim pasteRow As Long
Dim cell As Range
Dim answer As Integer
If Target.Count > 1 Then Exit Sub
If Target.Value = "" Then Exit Sub
If Not Intersect(Target, Range("J2:J51")) Is Nothing Then
Me.Unprotect Password:="edit" ' Unlock the sheet
Application.EnableEvents = False
Application.ScreenUpdating = False
' Exit if multiple cells are selected or if the target value is a number
' Check each cell in column J for "Complete"
For Each cell In Me.Range("J2:J51")
If cell.Value = "Completed" Then
' Ask user if outcomes are entered
answer = MsgBox("Have you entered the Outcomes?", vbYesNo + vbQuestion)
' Proceed if Yes, jump to EndCode if No
If answer = vbYes Then
' Copy the row to archive sheet
lastRow = Sheets("Archive").Cells(Rows.Count, 1).End(xlUp).Row + 1
Me.Range("A" & cell.Row & ":K" & cell.Row).Copy
Sheets("Archive").Range("A" & lastRow).PasteSpecial xlPasteValues
' Clear the row in active sheet
clearRow = cell.Row
Me.Rows(clearRow).ClearContents
' Identify the row number of cleared row
pasteRow = clearRow
' Set the copy range as A to K from the next row beneath the cleared row
lastRow = Me.Cells(Me.Rows.Count, "A").End(xlUp).Row
Set copyRange = Me.Range("A" & pasteRow + 1 & ":K" & lastRow + 1).Offset(0, 0)
' Paste the copied range into the previously cleared row
copyRange.Copy Destination:=Me.Range("A" & pasteRow)
Else
Application.Undo
GoTo EndCode
End If
End If
Next cell
End If
EndCode:
Application.ScreenUpdating = True
Application.EnableEvents = True
Me.Protect Password:="edit" ' Unlock the sheet
End Sub
|
bf909371a6b15e381f00488c561e0248
|
{
"intermediate": 0.4871751070022583,
"beginner": 0.27792876958847046,
"expert": 0.23489606380462646
}
|
39,599
|
The following code works as intended but can it be written more efficiently:
Private Sub Worksheet_BeforeDoubleClick(ByVal Target As Range, Cancel As Boolean)
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("A1")) Is Nothing Then
Cancel = True
Sheets("Day").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("B1")) Is Nothing Then
Cancel = True
Sheets("Week").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("C1")) Is Nothing Then
Cancel = True
Sheets("Forthnight").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("D1")) Is Nothing Then
Cancel = True
Sheets("Month").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("E1")) Is Nothing Then
Cancel = True
Sheets("QtrYear").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("F1")) Is Nothing Then
Cancel = True
Sheets("HalfYear").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("G1")) Is Nothing Then
Cancel = True
Sheets("Year").Activate
End If
If Target.Count > 1 Or IsNumeric(Target.Value) Then Exit Sub
If Not Intersect(Target, Range("A2:G52")) Is Nothing Then
'Application.EnableEvents = False
'Application.ScreenUpdating = False
Dim FormulaReference As String
FormulaReference = Target.Formula
If Left(FormulaReference, 1) = "=" Then
' Remove leading "=" and single apostrophes around the worksheet name:
FormulaReference = Mid(FormulaReference, 2) ' Remove leading "="
FormulaReference = Replace(FormulaReference, "'", "") ' Remove single apostrophes
' Extract worksheet name and cell address using Split:
Dim FormulaParts As Variant
FormulaParts = Split(FormulaReference, "!")
If UBound(FormulaParts) >= 1 Then
Dim WorksheetName As String, CellAddress As String
WorksheetName = FormulaParts(0)
CellAddress = Right(FormulaReference, Len(FormulaReference) - Len(WorksheetName) - 1)
Dim DestinationWorksheet As Worksheet
Set DestinationWorksheet = ThisWorkbook.Worksheets(WorksheetName)
If Not DestinationWorksheet Is Nothing Then
Cancel = True
'Application.ScreenUpdating = True
'Application.EnableEvents = True
DestinationWorksheet.Activate
DestinationWorksheet.Range(CellAddress).Select
End If
End If
End If
End If
End Sub
|
e6c92a3b3a0d96959313ee8503e8a109
|
{
"intermediate": 0.27577927708625793,
"beginner": 0.49706652760505676,
"expert": 0.2271542251110077
}
|
39,600
|
Студенту в зависимости от набранной в процессе обучения суммы баллов Z присваивается
квалификация:
магистр (М), если 80<=Z<=100,
специалист (S), если 60<= Z< 80,
бакалавр (B), если 40<= Z< 60,
неудачник (N), если 0<=Z< 40.
Реализовать на Visual prolog программу, которая определит квалификацию в зависимости от
введенного значения Z.
Исходный код:
% Copyright
implement main
open core
clauses
run() :-
succeed. % place your own code here
end implement main
goal
console::runUtf8(main::run).
|
07c45c94266ffeb6b2457e2eb9dc55ee
|
{
"intermediate": 0.4005023241043091,
"beginner": 0.3762850761413574,
"expert": 0.22321251034736633
}
|
39,601
|
The following code works as intended but can it be written more efficiently:
Private Sub Worksheet_BeforeDoubleClick(ByVal Target As Range, Cancel As Boolean)
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("A1")) Is Nothing Then
Cancel = True
Sheets("Day").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("B1")) Is Nothing Then
Cancel = True
Sheets("Week").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("C1")) Is Nothing Then
Cancel = True
Sheets("Forthnight").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("D1")) Is Nothing Then
Cancel = True
Sheets("Month").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("E1")) Is Nothing Then
Cancel = True
Sheets("QtrYear").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("F1")) Is Nothing Then
Cancel = True
Sheets("HalfYear").Activate
End If
If Target.Count > 1 Then Exit Sub
If Not Intersect(Target, Range("G1")) Is Nothing Then
Cancel = True
Sheets("Year").Activate
End If
If Target.Count > 1 Or IsNumeric(Target.Value) Then Exit Sub
If Not Intersect(Target, Range("A2:G52")) Is Nothing Then
'Application.EnableEvents = False
'Application.ScreenUpdating = False
Dim FormulaReference As String
FormulaReference = Target.Formula
If Left(FormulaReference, 1) = "=" Then
' Remove leading "=" and single apostrophes around the worksheet name:
FormulaReference = Mid(FormulaReference, 2) ' Remove leading "="
FormulaReference = Replace(FormulaReference, "'", "") ' Remove single apostrophes
' Extract worksheet name and cell address using Split:
Dim FormulaParts As Variant
FormulaParts = Split(FormulaReference, "!")
If UBound(FormulaParts) >= 1 Then
Dim WorksheetName As String, CellAddress As String
WorksheetName = FormulaParts(0)
CellAddress = Right(FormulaReference, Len(FormulaReference) - Len(WorksheetName) - 1)
Dim DestinationWorksheet As Worksheet
Set DestinationWorksheet = ThisWorkbook.Worksheets(WorksheetName)
If Not DestinationWorksheet Is Nothing Then
Cancel = True
'Application.ScreenUpdating = True
'Application.EnableEvents = True
DestinationWorksheet.Activate
DestinationWorksheet.Range(CellAddress).Select
End If
End If
End If
End If
End Sub
|
a69e0cf5fb9ba18e342883742e4466bf
|
{
"intermediate": 0.27577927708625793,
"beginner": 0.49706652760505676,
"expert": 0.2271542251110077
}
|
39,602
|
show me the documentation and a working example of how arcs and their dash animation can be added to a three js three-globe in react
|
c3502ac16d40b40381e4f82bfa7b5a7c
|
{
"intermediate": 0.6421434879302979,
"beginner": 0.1002199649810791,
"expert": 0.25763654708862305
}
|
39,603
|
Создайте два пакета, один из которых является библиотечным и
содержит две функции. Во втором пакете выполняются вызовы
этих функций. Библиотечные функции должны иметь параметры
для задания фамилий членов бригады, причем первая функция
должна возвращать самую длинную из фамилий, а вторая - самую
короткую. Для определения длины строки используйте
стандартную функцию LENGTH().
|
37457dfea4ca3c5c53f21d368b0da903
|
{
"intermediate": 0.36877578496932983,
"beginner": 0.3020634651184082,
"expert": 0.32916080951690674
}
|
39,604
|
implement main
open core, console
domains
gender = female(); male().
class facts - familyDB
person : (string Name, gender Gender).
parent : (string Person, string Parent).
class predicates
father : (string Person, string Father) nondeterm anyflow. % Отец
grandFather : (string Person, string GrandFather) nondeterm (o,o). % Дед
ancestor : (string Person, string Ancestor) nondeterm (i,o). % Предок
clauses
father(Person, Father) :- parent(Person, Father), person(Father, male()).
grandFather(Person, GrandFather) :- parent(Person, Parent), father(Parent, GrandFather).
ancestor(Person, Ancestor) :- parent(Person, Ancestor).
ancestor(Person, Ancestor) :- parent(Person, P1), ancestor(P1, Ancestor).
person("Bill", male()).
person("John", male()).
person("Pam", female()).
parent("John", "Judith").
parent("Bill", "John").
parent("Pam", "Bill").
run() :-
init(),
write("father; test"),nl,
father(X, Y),
write(Y, "is the father of", X),nl,
fail.
run() :-
nl,
write("grandFather test"),nl,
grandFather(X, Y),
write(Y, "is the GrandFather of", X),nl,
fail.
run() :-
nl,
write("ancestor of Pam test"),nl,
X = "Pam",
ancestor(X, Y),
write(Y, "is the ancestor of", X),nl,
fail.
run() :-
nl,
write("End of test"),
_=readLine().
end implement main
goal
console::run(main::run).
Обучится на этом коде visual prolog 7.5 и решить задачу
Студенту в зависимости от набранной в процессе обучения суммы баллов Z присваивается
квалификация:
магистр (М), если 80<=Z<=100,
специалист (S), если 60<= Z< 80,
бакалавр (B), если 40<= Z< 60,
неудачник (N), если 0<=Z< 40.
Реализовать на visual prolog 7.5 программу, которая определит квалификацию в зависимости от
введенного значения Z.
|
e16a08444dc90ba5b9601971bf42656f
|
{
"intermediate": 0.34806832671165466,
"beginner": 0.4039750099182129,
"expert": 0.24795669317245483
}
|
39,605
|
I made pictures galery using HTML container from bootstrap framework. There is picture preview. After click on it picture maximizes to full screen. How can I replace 1.jpg with mp4 video ? Video file name is 1.mp4
<section id="galery" class="portfolio">
<div class="container">
<div class="row">
<div class="col-lg-12 d-flex justify-content-center">
<ul id="portfolio-flters">
<li data-filter="*" class="filter-active">Все</li>
<li data-filter=".filter-screenshot">Скриншоты</li>
</ul>
</div>
</div>
<div class="col-lg-4 col-md-6 portfolio-item filter-screenshot">
<div class="portfolio-wrap">
<img src="assets/img/screenshots/1.jpg" class="img-fluid" alt="">
<div class="portfolio-info">
<div class="portfolio-links">
<a href="assets/img/screenshots/1.jpg" data-gallery="portfolioGallery" class="portfolio-lightbox"><i
class="bi bi-eye"></i></a>
</div>
</div>
</div>
</div>
</div>
</section><!-- End Portfolio Section -->
|
76bfc21c30c923e67138356625e151c3
|
{
"intermediate": 0.42006316781044006,
"beginner": 0.3074615001678467,
"expert": 0.27247536182403564
}
|
39,606
|
implement main
open core, console
domains
gender = female(); male().
class facts - familyDB
person : (string Name, gender Gender).
parent : (string Person, string Parent).
class predicates
father : (string Person, string Father) nondeterm anyflow. % Отец
grandFather : (string Person, string GrandFather) nondeterm (o,o). % Дед
ancestor : (string Person, string Ancestor) nondeterm (i,o). % Предок
clauses
father(Person, Father) :- parent(Person, Father), person(Father, male()).
grandFather(Person, GrandFather) :- parent(Person, Parent), father(Parent, GrandFather).
ancestor(Person, Ancestor) :- parent(Person, Ancestor).
ancestor(Person, Ancestor) :- parent(Person, P1), ancestor(P1, Ancestor).
person(“Bill”, male()).
person(“John”, male()).
person(“Pam”, female()).
parent(“John”, “Judith”).
parent(“Bill”, “John”).
parent(“Pam”, “Bill”).
run() :-
init(),
write(“father; test”),nl,
father(X, Y),
write(Y, “is the father of”, X),nl,
fail.
run() :-
nl,
write(“grandFather test”),nl,
grandFather(X, Y),
write(Y, “is the GrandFather of”, X),nl,
fail.
run() :-
nl,
write(“ancestor of Pam test”),nl,
X = “Pam”,
ancestor(X, Y),
write(Y, “is the ancestor of”, X),nl,
fail.
run() :-
nl,
write(“End of test”),
_=readLine().
end implement main
goal
console::run(main::run).
Обучится на этом коде visual prolog 7.5 и решить задачу
Студенту в зависимости от набранной в процессе обучения суммы баллов Z присваивается
квалификация:
магистр (М), если 80<=Z<=100,
специалист (S), если 60<= Z< 80,
бакалавр (B), если 40<= Z< 60,
неудачник (N), если 0<=Z< 40.
Реализовать на visual prolog 7.5 программу, которая определит квалификацию в зависимости от
введенного значения Z.
|
137996d86dc7647506b6bb85d0f5b55a
|
{
"intermediate": 0.35830172896385193,
"beginner": 0.4284398853778839,
"expert": 0.21325841546058655
}
|
39,607
|
implement main
open core, console
domains
gender = female(); male().
class facts - familyDB
person : (string Name, gender Gender).
parent : (string Person, string Parent).
class predicates
father : (string Person, string Father) nondeterm anyflow. % Отец
grandFather : (string Person, string GrandFather) nondeterm (o,o). % Дед
ancestor : (string Person, string Ancestor) nondeterm (i,o). % Предок
clauses
father(Person, Father) :- parent(Person, Father), person(Father, male()).
grandFather(Person, GrandFather) :- parent(Person, Parent), father(Parent, GrandFather).
ancestor(Person, Ancestor) :- parent(Person, Ancestor).
ancestor(Person, Ancestor) :- parent(Person, P1), ancestor(P1, Ancestor).
person(“Bill”, male()).
person(“John”, male()).
person(“Pam”, female()).
parent(“John”, “Judith”).
parent(“Bill”, “John”).
parent(“Pam”, “Bill”).
run() :-
init(),
write(“father; test”),nl,
father(X, Y),
write(Y, “is the father of”, X),nl,
fail.
run() :-
nl,
write(“grandFather test”),nl,
grandFather(X, Y),
write(Y, “is the GrandFather of”, X),nl,
fail.
run() :-
nl,
write(“ancestor of Pam test”),nl,
X = “Pam”,
ancestor(X, Y),
write(Y, “is the ancestor of”, X),nl,
fail.
run() :-
nl,
write(“End of test”),
_=readLine().
end implement main
goal
console::run(main::run).
Обучится на этом коде visual prolog 7.5 и решить задачу
Студенту в зависимости от набранной в процессе обучения суммы баллов Z присваивается
квалификация:
магистр (М), если 80<=Z<=100,
специалист (S), если 60<= Z< 80,
бакалавр (B), если 40<= Z< 60,
неудачник (N), если 0<=Z< 40.
Реализовать на visual prolog 7.5 программу, которая определит квалификацию в зависимости от
введенного значения Z.
|
7cef58a4ecd48a9db6b28a00c2caa935
|
{
"intermediate": 0.35830172896385193,
"beginner": 0.4284398853778839,
"expert": 0.21325841546058655
}
|
39,608
|
Why is the below function giving error-('NoneType' object is not subscriptable)
Snippet:
@app.route('/AddAppointment',methods=['GET','POST'])
def AddAppointment():
# token=request.args.get('token')
# if not token:
# return jsonify({'MSG':'Token is missing'})
session=Session()
try:
if(request.method == "POST"):
if('Authorization' in request.headers):
token= request.headers.get('Authorization')
BranchId= request.headers.get('branchId')
if not token:
return jsonify({'MSG':'Token is missing'})
data = jwt.decode(token,app.config['SECRET_KEY'], algorithms=['HS256', ])
if(data):
# BranchId= 10
request_json = request.get_json()
PID = request_json.get('pname')
fcmToken = session.query(Model.models.Application.M_PatientsDtl.MPD_TokenFCM.label('token') # Select the MPD_TokenFCM column from M_PatientsDtl
).join(Model.models.Application.M_Patient, # Specify the first table to join
Model.models.Application.M_Patient.MP_Mobile == Model.models.Application.M_PatientsDtl.MPD_MobNoCountryCode # Join condition
).filter(
Model.models.Application.M_Patient.MPID == PID # Your WHERE clause condition
).first() # For fetching a single result or None if not found
# session.close()
#Id = request_json.get('pid')
ID = request_json.get('ID')
if(ID=='' or ID==None):
# request_json = request.get_json()
request_json = request.get_json(force = True)
pname = request_json.get('pname')
procedure = request_json.get('procedure')
date = request_json.get('date')
time = request_json.get('time')
duration = request_json.get('duration')
appointmentType = request_json.get('appointmentType')
doctor = request_json.get('doctor')
notify = request_json.get('notify')
status = request_json.get('status')
# note = request_json.get('note')
currentdate = datetime.datetime.now().strftime('%Y%m%d')
currenttime = datetime.datetime.now().strftime('%H%M')
appdate1 = datetime.datetime.strptime(date,'%Y-%m-%d')
appdate = appdate1.strftime('%Y%m%d')
apptime1 = datetime.datetime.strptime(time,'%H:%M')
apptime = apptime1.strftime('%H%M')
appdatetime = str(appdate)+str(apptime)
doctorout = session.query(Model.models.Application.DoctorOutoffice.DOID
#).filter_by(DO_FromDate=date,DO_ToDate=date,DO_DoctorId=doctor,DO_IsActive=1,DO_IsDeleted=0
).filter_by(DO_DoctorId=doctor,DO_IsActive=1,DO_IsDeleted=0
).filter(sqlalchemy.func.date_format(Model.models.Application.DoctorOutoffice.DO_FromDate,'%Y%m%d%H%M')>=appdatetime
).all()
print(doctorout)
checkdoctor = session.query(Model.models.Application.M_Appointment.MAID
).filter_by(MA_Date=date,M_DoctorDetails_MDDID=doctor,MP_IsActive=1,MP_IsDeleted=0,MP_IsCancelled=0
).filter(Model.models.Application.M_Appointment.MA_Time==time).all()
if(len(checkdoctor)==0):
# if(currentdate == appdate or currentdate < appdate):
# if((currentdate == appdate and (apptime >= currenttime and apptime <='2000')) or (currentdate <= appdate and ('0800' <= apptime and apptime <='2000'))):
if('0800' <= apptime and apptime <='2000'):
print('hello')
print(currentdate,currenttime)
Insert=Model.models.Application.M_Appointment()
Insert.M_Patient_MPID=pname
Insert.MP_Procedure=procedure
Insert.MA_Date=date
Insert.MA_Time=time
Insert.MP_Duration=duration
Insert.MP_AppointmentType=appointmentType
Insert.M_DoctorDetails_MDDID=doctor
# Insert.M_Organisation_MOID=org
Insert.M_Branch_MBID=int(BranchId)
# Insert.M_Room_MRID=room
Insert.MP_Status=status
# Insert.MP_Notes=note
Insert.MP_AddIP= flask.request.remote_addr
Insert.MP_AddUser = data['id']
Insert.MP_AddDate = datetime.datetime.now()
session.add(Insert)
session.commit()
#return "inserted Successfully"
ORGID= session.query(Model.models.Application.M_Appointment.MAID).order_by(Model.models.Application.M_Appointment.MAID.desc()).first()
if(notify==True):
PatName = session.query(Model.models.Application.M_Patient.MP_Name,
Model.models.Application.M_Patient.MP_Mobile,
).filter_by(MPID=pname,MP_IsActive=1,MP_IsDeleted=0).all()
CategoryName= session.query(Model.models.Application.M_Service.CategoryName
).filter(Model.models.Application.M_Service.MSID==procedure).first()
Name= PatName[0].MP_Name
Mobile= PatName[0].MP_Mobile
date2 = datetime.datetime.strptime(date, '%Y-%m-%d').date()
date3 = date2.strftime('%d-%m-%Y')
time2 = datetime.datetime.strptime(time, '%H:%M').time()
time3 = time2.strftime('%I:%M %p')
catedg = CategoryName[0]
dtime = str(catedg)+'_'+str(date3) +'_'+str(time3)
# dtime = str(date3) +'_'+str(time3)
parentNameQuery = session.query(Model.models.Application.M_PatientsDtl.MPD_Name).filter_by(
MPD_MobNoCountryCode=Mobile, MPD_User=1, MPD_IsActive=1, MPD_IsDeleted=0).first()
parentName = parentNameQuery[0]
if fcmToken.token != "" and fcmToken.token is not None:
addapoint_notif(fcmToken.token, parentName, Name, ORGID[0])
else:
print("No FCM token available, notification will not be sent.")
if(Mobile!='' and Mobile!=None):
msg = 'https://api.pinnacle.in/index.php/sms/urlsms?sender=CONKID&numbers=91' + str(Mobile) +'&messagetype=TXT&message=Dear member '+' '+', your appointment at Continua Kids for '+str(Name)+' has been created for ' + str(dtime) +'&response=Y&apikey=bb4d93-a1481e-f7c2a2-67d92c-2d3477'
rese = requests.get(msg)
# print(rese)
else:
pass
return jsonify({'msg':f'Appointment Added Successfully. Token-{fcmToken}', 'data': {'AppointmentId':ORGID[0]}})
# else:
# return jsonify({'err':'Appointment Not allowed at that time'}),200
else:
return jsonify({'err':'Appointment Not allowed for that date'}),200
else:
return jsonify({'err':'Doctor is not available at this time'}),200
# else:
# return jsonify({'token': data, 'msg':'username is not valid','About':about,'TokenUser':data['user']})
else:
# request_json = request.get_json()
request_json = request.get_json(force = True)
pname = request_json.get('pname')
procedure = request_json.get('procedure')
date = request_json.get('date')
time = request_json.get('time')
duration = request_json.get('duration')
appointmentType = request_json.get('appointmentType')
doctor = request_json.get('doctor')
notify = request_json.get('notify')
status = request_json.get('status')
currentdate = datetime.datetime.now().strftime('%Y%m%d')
currenttime = datetime.datetime.now().strftime('%H%M')
appdate1 = datetime.datetime.strptime(date,'%Y-%m-%d')
appdate = appdate1.strftime('%Y%m%d')
# apptime1 = datetime.datetime.strptime(time,'%H:%M:%S')
apptime1 = parser.parse(time)
apptime = apptime1.strftime('%H%M')
checkdoctor = session.query(Model.models.Application.M_Appointment.MAID
).filter_by(MA_Date=date,M_DoctorDetails_MDDID=doctor,MP_IsActive=1,MP_IsDeleted=0,MP_IsCancelled=0
).filter(Model.models.Application.M_Appointment.MA_Time==time).all()
if(len(checkdoctor)>0):
AppId = checkdoctor[0].MAID
else:
AppId = 0
if(len(checkdoctor)==0 or AppId==ID):
# if(currentdate == appdate or currentdate < appdate):
# if((currentdate == appdate and (apptime >= currenttime and apptime <='2000')) or (currentdate <= appdate and ('0800' <= apptime and apptime <='2000'))):
if('0800' <= apptime and apptime <='2000'):
print('hello')
Insert=session.query(Model.models.Application.M_Appointment).get(ID)
Insert.M_Patient_MPID=pname
Insert.MP_Procedure=procedure
Insert.MA_Date=date
Insert.MA_Time=time
Insert.MP_Duration=duration
Insert.MP_AppointmentType=appointmentType
Insert.M_DoctorDetails_MDDID=doctor
Insert.M_Branch_MBID=int(BranchId)
Insert.MP_Status=status
Insert.MP_AddIP= flask.request.remote_addr
Insert.MP_ModDate = datetime.datetime.now()
session.commit()
print("success")
if(notify==True):
PatName = session.query(Model.models.Application.M_Patient.MP_Name,
Model.models.Application.M_Patient.MP_Mobile,
).filter_by(MPID=pname,MP_IsActive=1,MP_IsDeleted=0).all()
Name= PatName[0].MP_Name
Mobile= PatName[0].MP_Mobile
date2 = datetime.datetime.strptime(date, '%Y-%m-%d').date()
date3 = date2.strftime('%d-%m-%Y')
time2 = datetime.datetime.strptime(time, '%H:%M').time()
time3 = time2.strftime('%I:%M %p')
dtime = str(date3) +'_'+str(time3)
if(Mobile!='' and Mobile!=None):
msg = 'https://api.pinnacle.in/index.php/sms/urlsms?sender=CONKID&numbers=91' + str(Mobile) +'&messagetype=TXT&message=Your appointment '+str(ID)+' at Continua Kids for '+str(Name)+' has been updated for ' + str(dtime) +'. Thank you!&response=Y&apikey=bb4d93-a1481e-f7c2a2-67d92c-2d3477'
rese = requests.get(msg)
print(rese)
else:
pass
return jsonify({'msg':f'Appointment Updated Successfully. Token- {fcmToken}'})
# else:
# return jsonify({'err':'Appointment Not allowed at that time'}),200
else:
return jsonify({'err':'Appointment Not allowed for that date'}),200
else:
return jsonify({'err':'Doctor is not available at this time'}),200
else:
return jsonify({'err':'Token is expired'})
else:
return jsonify({'err':'Please Login'})
except Exception as e:
return jsonify({'err':str(e)})
finally:
session.close()
|
b1285e518c43eea701bcf53c9b570bc1
|
{
"intermediate": 0.45437508821487427,
"beginner": 0.3484048545360565,
"expert": 0.1972200870513916
}
|
39,609
|
Please edit the below snippet to return AddDate value from the table M_CKGrossMotor table in addition with Id, Appointment ID ... and such in response.
Snippet:
@app.route('/submitGrossMotorForm', methods=['GET','POST'])
def submitGrossMotorForm():
session=Session()
try:
if(request.method == "POST"):
if('Authorization' in request.headers):
token= request.headers.get('Authorization')
if not token:
return jsonify({'MSG':'Token is missing'})
data = jwt.decode(token,app.config['SECRET_KEY'], algorithms=['HS256', ])
if(data):
request_json = request.get_json()
question1 = request_json.get('question1')
question2 = request_json.get('question2')
question3 = request_json.get('question3')
question4 = request_json.get('question4')
question5 = request_json.get('question5')
question6 = request_json.get('question6')
question7 = request_json.get('question7')
question8 = request_json.get('question8')
question9 = request_json.get('question9')
question10 = request_json.get('question10')
question11 = request_json.get('question11')
question12 = request_json.get('question12')
question13 = request_json.get('question13')
question14 = request_json.get('question14')
question15 = request_json.get('question15')
question16 = request_json.get('question16')
question17 = request_json.get('question17')
question18 = request_json.get('question18')
question19 = request_json.get('question19')
question20 = request_json.get('question20')
question21 = request_json.get('question21')
question22 = request_json.get('question22')
question23 = request_json.get('question23')
question24 = request_json.get('question24')
question25 = request_json.get('question25')
question26 = request_json.get('question26')
question27 = request_json.get('question27')
question28 = request_json.get('question28')
question29 = request_json.get('question29')
question30 = request_json.get('question30')
question31 = request_json.get('question31')
question32 = request_json.get('question32')
question33 = request_json.get('question33')
question34 = request_json.get('question34')
question4B = request_json.get('question4B')
question4C = request_json.get('question4C')
grossmotor3yes = request_json.get('grossMotor0To3Yes')
grossmotor3no = request_json.get('grossMotor0To3No')
grossmotor6yes = request_json.get('grossMotor3To6Yes')
grossmotor6no = request_json.get('grossMotor3To6No')
grossmotor9yes = request_json.get('grossMotor6To9Yes')
grossmotor9no = request_json.get('grossMotor6To9No')
grossmotor12yes = request_json.get('grossMotor9To12Yes')
grossmotor12no = request_json.get('grossMotor9To12No')
grossmotor18yes = request_json.get('grossMotor12To18Yes')
grossmotor18no = request_json.get('grossMotor12To18No')
grossmotor24yes = request_json.get('grossMotor18To24Yes')
grossmotor24no = request_json.get('grossMotor18To24No')
grossmotor30yes = request_json.get('grossMotor24To30Yes')
grossmotor30no = request_json.get('grossMotor24To30No')
grossmotor36yes = request_json.get('grossMotor30To36Yes')
grossmotor36no = request_json.get('grossMotor30To36No')
grossmotor42yes = request_json.get('grossMotor36To42Yes')
grossmotor42no = request_json.get('grossMotor36To42No')
grossmotor48yes = request_json.get('grossMotor42To48Yes')
grossmotor48no = request_json.get('grossMotor42To48No')
grossmotor54yes = request_json.get('grossMotor48To54Yes')
grossmotor54no = request_json.get('grossMotor48To54No')
grossmotor60yes = request_json.get('grossMotor54To60Yes')
grossmotor60no = request_json.get('grossMotor54To60No')
Aid = request_json.get('Aid')
PID = request_json.get('pid')
Id = request_json.get('Id')
Insert=Model.models.Application.M_CKGrossmotor()
Insert.M_Patient_MPID=PID
Insert.M_AppointmentID=Aid
Insert.canlifttheheadup=question1
Insert.triestostabilizehead=question2
Insert.lessroundingofback=question3
Insert.canstabiliseheadfully=question4
Insert.Rollsfromfronttoback=question5
Insert.Cansitwithoutsupport=question6
Insert.Bearswholebodyweightonlegs=question7
Insert.Standswellwitharmshigh=question8
Insert.Cruisesfurnitureusinonehand=question9
Insert.Walkswithonehandheld=question10
Insert.Standsononefootwithslight=question11
Insert.Seatsselfinsmallchair=question12
Insert.Throwsballwhilestanding=question13
Insert.Walksdownstairsholdingrail=question14
Insert.Kicksballwithoutdemonstration=question15
Insert.Squatsinplay=question16
Insert.Walkupstairswithrail=question17
Insert.Jumpsinplace=question18
Insert.Standswithbothfeetonbalance=question19
Insert.Balancesononefootfor3seconds=question20
Insert.Goesupstairsnorails=question21
Insert.Pedalstricycle=question22
Insert.Balancesononefoot4to8second=question23
Insert.Hopononefoottwotothreetimes=question24
Insert.Standingbroadjump1to2feet=question25
Insert.Gallops=question26
Insert.Throwsballoverhand10feet=question27
Insert.Catchesbouncedball=question28
Insert.Walksdownstairswithrail=question29
Insert.Balanceononefoot8seconds=question30
Insert.Hopononefoot15times=question31
Insert.Canskip=question32
Insert.Runbroadjumpapproximately2to3feet=question33
Insert.Walksbackwardheeltoe=question34
Insert.Rollsfrombacktofront=question4B
Insert.Sittingsupportstarts=question4C
Insert.grossmotor3yes=grossmotor3yes
Insert.grossmotor3no =grossmotor3no
Insert.grossmotor6yes=grossmotor6yes
Insert.grossmotor6no=grossmotor6no
Insert.grossmotor9yes=grossmotor9yes
Insert.grossmotor9no=grossmotor9no
Insert.grossmotor12yes=grossmotor12yes
Insert.grossmotor12no=grossmotor12no
Insert.grossmotor18yes=grossmotor18yes
Insert.grossmotor18no=grossmotor18no
Insert.grossmotor24yes=grossmotor24yes
Insert.grossmotor24no=grossmotor24no
Insert.grossmotor30yes=grossmotor30yes
Insert.grossmotor30no=grossmotor30no
Insert.grossmotor36yes=grossmotor36yes
Insert.grossmotor36no=grossmotor36no
Insert.grossmotor42yes=grossmotor42yes
Insert.grossmotor42no=grossmotor42no
Insert.grossmotor48yes=grossmotor48yes
Insert.grossmotor48no=grossmotor48no
Insert.grossmotor54yes=grossmotor54yes
Insert.grossmotor54no=grossmotor54no
Insert.grossmotor60yes=grossmotor60yes
Insert.grossmotor60no=grossmotor60no
Insert.AddDate = datetime.datetime.now()
Insert.AddIP= flask.request.remote_addr
session.add(Insert)
session.commit()
return jsonify({'msg':'CK Developmental Added Successfully'})
else:
return jsonify({'err':'Token is expired'})
else:
return jsonify({'err':'Please Login'})
except Exception as e:
return jsonify({'err':str(e)})
finally:
session.close()
|
b7f41026a79cf2812d0b3a4f198ee889
|
{
"intermediate": 0.3788829743862152,
"beginner": 0.47078922390937805,
"expert": 0.15032780170440674
}
|
39,610
|
Please edit the below snippet to return AddDate value from the table M_CKGrossMotor table in addition with Id, Appointment ID ... and such in response.
Snippet:
@app.route('/submitGrossMotorForm', methods=['GET','POST'])
def submitGrossMotorForm():
session=Session()
try:
if(request.method == "POST"):
if('Authorization' in request.headers):
token= request.headers.get('Authorization')
if not token:
return jsonify({'MSG':'Token is missing'})
data = jwt.decode(token,app.config['SECRET_KEY'], algorithms=['HS256', ])
if(data):
request_json = request.get_json()
question1 = request_json.get('question1')
question2 = request_json.get('question2')
question3 = request_json.get('question3')
question4 = request_json.get('question4')
question5 = request_json.get('question5')
question6 = request_json.get('question6')
question7 = request_json.get('question7')
question8 = request_json.get('question8')
question9 = request_json.get('question9')
question10 = request_json.get('question10')
question11 = request_json.get('question11')
question12 = request_json.get('question12')
question13 = request_json.get('question13')
question14 = request_json.get('question14')
question15 = request_json.get('question15')
question16 = request_json.get('question16')
question17 = request_json.get('question17')
question18 = request_json.get('question18')
question19 = request_json.get('question19')
question20 = request_json.get('question20')
question21 = request_json.get('question21')
question22 = request_json.get('question22')
question23 = request_json.get('question23')
question24 = request_json.get('question24')
question25 = request_json.get('question25')
question26 = request_json.get('question26')
question27 = request_json.get('question27')
question28 = request_json.get('question28')
question29 = request_json.get('question29')
question30 = request_json.get('question30')
question31 = request_json.get('question31')
question32 = request_json.get('question32')
question33 = request_json.get('question33')
question34 = request_json.get('question34')
question4B = request_json.get('question4B')
question4C = request_json.get('question4C')
grossmotor3yes = request_json.get('grossMotor0To3Yes')
grossmotor3no = request_json.get('grossMotor0To3No')
grossmotor6yes = request_json.get('grossMotor3To6Yes')
grossmotor6no = request_json.get('grossMotor3To6No')
grossmotor9yes = request_json.get('grossMotor6To9Yes')
grossmotor9no = request_json.get('grossMotor6To9No')
grossmotor12yes = request_json.get('grossMotor9To12Yes')
grossmotor12no = request_json.get('grossMotor9To12No')
grossmotor18yes = request_json.get('grossMotor12To18Yes')
grossmotor18no = request_json.get('grossMotor12To18No')
grossmotor24yes = request_json.get('grossMotor18To24Yes')
grossmotor24no = request_json.get('grossMotor18To24No')
grossmotor30yes = request_json.get('grossMotor24To30Yes')
grossmotor30no = request_json.get('grossMotor24To30No')
grossmotor36yes = request_json.get('grossMotor30To36Yes')
grossmotor36no = request_json.get('grossMotor30To36No')
grossmotor42yes = request_json.get('grossMotor36To42Yes')
grossmotor42no = request_json.get('grossMotor36To42No')
grossmotor48yes = request_json.get('grossMotor42To48Yes')
grossmotor48no = request_json.get('grossMotor42To48No')
grossmotor54yes = request_json.get('grossMotor48To54Yes')
grossmotor54no = request_json.get('grossMotor48To54No')
grossmotor60yes = request_json.get('grossMotor54To60Yes')
grossmotor60no = request_json.get('grossMotor54To60No')
Aid = request_json.get('Aid')
PID = request_json.get('pid')
Id = request_json.get('Id')
Insert=Model.models.Application.M_CKGrossmotor()
Insert.M_Patient_MPID=PID
Insert.M_AppointmentID=Aid
Insert.canlifttheheadup=question1
Insert.triestostabilizehead=question2
Insert.lessroundingofback=question3
Insert.canstabiliseheadfully=question4
Insert.Rollsfromfronttoback=question5
Insert.Cansitwithoutsupport=question6
Insert.Bearswholebodyweightonlegs=question7
Insert.Standswellwitharmshigh=question8
Insert.Cruisesfurnitureusinonehand=question9
Insert.Walkswithonehandheld=question10
Insert.Standsononefootwithslight=question11
Insert.Seatsselfinsmallchair=question12
Insert.Throwsballwhilestanding=question13
Insert.Walksdownstairsholdingrail=question14
Insert.Kicksballwithoutdemonstration=question15
Insert.Squatsinplay=question16
Insert.Walkupstairswithrail=question17
Insert.Jumpsinplace=question18
Insert.Standswithbothfeetonbalance=question19
Insert.Balancesononefootfor3seconds=question20
Insert.Goesupstairsnorails=question21
Insert.Pedalstricycle=question22
Insert.Balancesononefoot4to8second=question23
Insert.Hopononefoottwotothreetimes=question24
Insert.Standingbroadjump1to2feet=question25
Insert.Gallops=question26
Insert.Throwsballoverhand10feet=question27
Insert.Catchesbouncedball=question28
Insert.Walksdownstairswithrail=question29
Insert.Balanceononefoot8seconds=question30
Insert.Hopononefoot15times=question31
Insert.Canskip=question32
Insert.Runbroadjumpapproximately2to3feet=question33
Insert.Walksbackwardheeltoe=question34
Insert.Rollsfrombacktofront=question4B
Insert.Sittingsupportstarts=question4C
Insert.grossmotor3yes=grossmotor3yes
Insert.grossmotor3no =grossmotor3no
Insert.grossmotor6yes=grossmotor6yes
Insert.grossmotor6no=grossmotor6no
Insert.grossmotor9yes=grossmotor9yes
Insert.grossmotor9no=grossmotor9no
Insert.grossmotor12yes=grossmotor12yes
Insert.grossmotor12no=grossmotor12no
Insert.grossmotor18yes=grossmotor18yes
Insert.grossmotor18no=grossmotor18no
Insert.grossmotor24yes=grossmotor24yes
Insert.grossmotor24no=grossmotor24no
Insert.grossmotor30yes=grossmotor30yes
Insert.grossmotor30no=grossmotor30no
Insert.grossmotor36yes=grossmotor36yes
Insert.grossmotor36no=grossmotor36no
Insert.grossmotor42yes=grossmotor42yes
Insert.grossmotor42no=grossmotor42no
Insert.grossmotor48yes=grossmotor48yes
Insert.grossmotor48no=grossmotor48no
Insert.grossmotor54yes=grossmotor54yes
Insert.grossmotor54no=grossmotor54no
Insert.grossmotor60yes=grossmotor60yes
Insert.grossmotor60no=grossmotor60no
Insert.AddDate = datetime.datetime.now()
Insert.AddIP= flask.request.remote_addr
session.add(Insert)
session.commit()
return jsonify({'msg':'CK Developmental Added Successfully'})
else:
return jsonify({'err':'Token is expired'})
else:
return jsonify({'err':'Please Login'})
except Exception as e:
return jsonify({'err':str(e)})
finally:
session.close()
Response:
{
"result": [
{
"ID": 20,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 19,
"Appointment ID": null,
"0-3 Months": "2",
"grossmotor03no": "1",
"3-6 Months": "1",
"grossmotor36no": "2",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 18,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 17,
"Appointment ID": null,
"0-3 Months": "2",
"grossmotor03no": "1",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 16,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 15,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "1",
"grossmotor36no": "2",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 14,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "1",
"grossmotor36no": "2",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 13,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 12,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 11,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 10,
"Appointment ID": null,
"0-3 Months": "3",
"grossmotor03no": "0",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 9,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 8,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 7,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 6,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "0",
"grossmotor36no": "0",
"6-9 Months": "3",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 5,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 4,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 3,
"Appointment ID": null,
"0-3 Months": "3",
"grossmotor03no": "0",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
}
]
}
|
c2951a9741a2964a774d0ee2fc39806f
|
{
"intermediate": 0.3788829743862152,
"beginner": 0.47078922390937805,
"expert": 0.15032780170440674
}
|
39,611
|
Please edit the below snippet to return AddDate value from the table M_CKGrossMotor table in addition with Id, Appointment ID ... and such in response.
Snippet:
@app.route('/viewGrossMotorForm', methods=['GET','POST'])
def viewGrossMotorForm():
session=Session()
try:
if(request.method == "POST"):
if('Authorization' in request.headers):
token= request.headers.get('Authorization')
if not token:
return jsonify({'MSG':'Token is missing'})
data = jwt.decode(token,app.config['SECRET_KEY'], algorithms=['HS256', ])
if(data):
request1= request.get_json()
pid = request1.get('pid')
queryresult= Common_Function.CommonFun.convertToJson(
Constant.constant.constant.viewGrossMotorForm,
session.query(Model.models.Application.M_CKGrossmotor.CKGID.label('ID'),
Model.models.Application.M_CKGrossmotor.M_AppointmentID.label('Appointment ID'),
Model.models.Application.M_CKGrossmotor.grossmotor3yes.label('0-3 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor3no.label('grossmotor03no'),
Model.models.Application.M_CKGrossmotor.grossmotor6yes.label('3-6 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor6no.label('grossmotor36no'),
Model.models.Application.M_CKGrossmotor.grossmotor9yes.label('6-9 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor9no.label('grossmotor69no'),
Model.models.Application.M_CKGrossmotor.grossmotor12yes.label('9-12 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor12no.label('grossmotor12no'),
Model.models.Application.M_CKGrossmotor.grossmotor18yes.label('12-18 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor18no.label('grossmotor1218no'),
Model.models.Application.M_CKGrossmotor.grossmotor24yes.label('18-24 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor24no.label('grossmotor1824no'),
Model.models.Application.M_CKGrossmotor.grossmotor30yes.label('24-30 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor30no.label('grossmotor2430no'),
Model.models.Application.M_CKGrossmotor.grossmotor36yes.label('30-36 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor36no.label('grossmotor3036no'),
Model.models.Application.M_CKGrossmotor.grossmotor42yes.label('36-42 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor42no.label('grossmotor3642no'),
Model.models.Application.M_CKGrossmotor.grossmotor48yes.label('42-48 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor48no.label('grossmotor4248no'),
Model.models.Application.M_CKGrossmotor.grossmotor54yes.label('48-54 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor54no.label('grossmotor4854no'),
Model.models.Application.M_CKGrossmotor.grossmotor60yes.label('54-60 Months'),
Model.models.Application.M_CKGrossmotor.grossmotor60no.label('grossmotor5460no'),
Model.models.Application.M_CKGrossmotor.AddDate.label('AddDate'),
).filter_by(M_Patient_MPID=pid,IsActive=1,IsDeleted=0
).order_by(Model.models.Application.M_CKGrossmotor.CKGID.desc()).all())
return jsonify(result=queryresult)
else:
return jsonify({'err':'Token is expired'})
else:
return jsonify({'err':'Please Login'})
except Exception as e:
return jsonify({'err':str(e)})
finally:
session.close()
Response:
{
"result": [
{
"ID": 20,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 19,
"Appointment ID": null,
"0-3 Months": "2",
"grossmotor03no": "1",
"3-6 Months": "1",
"grossmotor36no": "2",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 18,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 17,
"Appointment ID": null,
"0-3 Months": "2",
"grossmotor03no": "1",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 16,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 15,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "1",
"grossmotor36no": "2",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 14,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "1",
"grossmotor36no": "2",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 13,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 12,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 11,
"Appointment ID": null,
"0-3 Months": "1",
"grossmotor03no": "2",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 10,
"Appointment ID": null,
"0-3 Months": "3",
"grossmotor03no": "0",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 9,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 8,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 7,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 6,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "0",
"grossmotor36no": "0",
"6-9 Months": "3",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 5,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 4,
"Appointment ID": null,
"0-3 Months": "0",
"grossmotor03no": "0",
"3-6 Months": "3",
"grossmotor36no": "0",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
},
{
"ID": 3,
"Appointment ID": null,
"0-3 Months": "3",
"grossmotor03no": "0",
"3-6 Months": "2",
"grossmotor36no": "1",
"6-9 Months": "0",
"grossmotor69no": "0",
"9-12 Months": "0",
"grossmotor12no": "0",
"12-18 Months": "0",
"grossmotor1218no": "0",
"18-24 Months": "0",
"grossmotor1824no": "0",
"24-30 Months": "0",
"grossmotor2430no": "0",
"30-36 Months": "0",
"grossmotor3036no": "0",
"36-42 Months": "0",
"grossmotor3642no": "0",
"42-48 Months": "0",
"grossmotor4248no": "0",
"48-54 Months": "0",
"grossmotor4854no": "0",
"54-60 Months": "0",
"grossmotor5460no": "0"
}
]
}
|
9272689c5fb5e643972a55acd287f54d
|
{
"intermediate": 0.3273029625415802,
"beginner": 0.44134521484375,
"expert": 0.23135186731815338
}
|
39,612
|
hi make the code in html for a Pokemon website
|
3db11f85d1f81867ffe2be415ac73a1e
|
{
"intermediate": 0.34824633598327637,
"beginner": 0.3141074776649475,
"expert": 0.33764615654945374
}
|
39,613
|
how to check which ip addresses were accesed by windows 10 pc application?
|
220a6be8da4b12f9552333da027ac20a
|
{
"intermediate": 0.43735837936401367,
"beginner": 0.2777192294597626,
"expert": 0.28492239117622375
}
|
39,614
|
implement main
open core
class facts - test
f : (string).
class predicates
af : ().
qualify: (integer Z) nondeterm (i).
clauses
% Декларация фактов класса main
f("Магистр (М), если 80<=Z<=100").
f("Специалист (S), если 60<= Z< 80").
f("Бакалавр (B), если 40<= Z< 60").
f("Неудачник (N), если 0<=Z< 40").
% Предикат перечисления фактов f с выводом их в стандартный поток вывода
af() :-
(f(X), stdio::write(X), stdio::nl, fail); !.
qualify(Z) :- (Z >= 80), (Z <= 100), stdio::write ('магистр').
qualify(Z) :- (Z >= 60), ( Z < 80), stdio::write ('специалист').
qualify(Z) :- (Z >= 40), (Z < 60), stdio::write ('бакалавр').
qualify(Z) :- (Z >= 0), (Z < 40), stdio::write ('неудачник').
qualify(Z) :- (Z >= 100), stdio::write ('недопустимое значение').
% Основной предикат, к нему происходит обращение из цели
run() :- console::init(), stdio::write("Введите значение Z ="),
stdio::read(Z),
% Обращение к предикату сканирования фактов
af(),
% Ждем ввода символа, а по сути программы - нажатия клавиши <Enter>
_ = stdio::readChar().
end implement main
goal
% ЦЕЛЬ:
console::runUtf8(main::run).
main.pro(35,21)
error c229 : Undeclared identifier 'stdio::read/1', the identifier is known as 'read/0->' in the class 'stdio'
|
8cc2b4277c006812694c334b8549dc50
|
{
"intermediate": 0.40993785858154297,
"beginner": 0.39213651418685913,
"expert": 0.19792556762695312
}
|
39,615
|
the arcs are only rendered on the globe when i edit the my-flights.json and save for the fast refresh to kick in and show the arcs. I am using npm run dev. How do i fix this issue: import React from 'react';
import Globe from 'react-globe.gl';
import countries from './files/globe-data-min.json';
import travelHistory from './files/my-flights.json';
import airportHistory from './files/my-airports.json';
const GlobeComponent = () => {
return (
<Globe
hexPolygonsData = { countries.features }
hexPolygonResolution = { 3}
hexPolygonMargin = { 0.7}
showAtmosphere = { true}
atmosphereColor ="#ffffff"
atmosphereAltitude = { 0.1}
hexPolygonColor = {(e) => {
return ["KEN", "CHN", "FRA", "ZAF", "JPN", "USA", "AUS", "CAN"].includes(e.properties.ISO_A3)
? "rgba(255, 255, 255, 1)"
: "rgba(255, 255, 255, 0.5)";
}}
arcsData = { travelHistory.flights }
arcColor = {(e) => {
return e.status ? "#9cff00" : "#ff2e97";
}}
arcAltitude = {(e) => {
return e.arcAlt;
}}
arcStroke = {(e) => {
return e.status ? 0.5 : 0.3;
}}
arcDashLength = { 0.9}
arcDashGap = { 4}
arcDashAnimateTime = { 1000}
arcsTransitionDuration = { 1000}
arcDashInitialGap = {(e) => e.order * 1}
labelsData = { airportHistory.airports }
labelColor = {() => "#ffffff"}
labelDotOrientation = {(e) => {
return e.text === "NGA" ? "top" : "right";
}}
labelDotRadius = { 0.35}
labelSize = {(e) => e.size}
labelText = {"city" }
labelResolution = { 6}
labelAltitude = { 0.01}
pointsData = { airportHistory.airports }
pointColor = {() => "#ffffff"}
pointsMerge = { true}
pointAltitude = { 0.07}
pointRadius = { 0.10}
/>
);
};
export default GlobeComponent;
|
3adf299c8a22fd290fda2e052ba9ccb7
|
{
"intermediate": 0.4636462330818176,
"beginner": 0.37966522574424744,
"expert": 0.15668855607509613
}
|
39,616
|
implement main
open core
class predicates
qualify: (integer Z) nondeterm (i).
clauses
% Декларация фактов класса main
qualify(Z) :- (Z >= 80), (Z <= 100), stdio::write ('магистр').
qualify(Z) :- (Z >= 60), ( Z < 80), stdio::write ('специалист').
qualify(Z) :- (Z >= 40), (Z < 60), stdio::write ('бакалавр').
qualify(Z) :- (Z >= 0), (Z < 40), stdio::write ('неудачник').
qualify(Z) :- (Z >= 100), stdio::write ('недопустимое значение').
% Основной предикат, к нему происходит обращение из цели
run() :- console::init(), stdio::write("Введите значение Z ="),
stdio::nl, hasDomain(integer,Z), Z = stdio::read(),
stdio::write(Z, "\n"), stdio::nl.
end implement main
goal
% ЦЕЛЬ:
mainExe::run(main::run).
main.pro(7,9)
warning c654 : Unused local predicate 'main::qualify/1 (i)'
|
b06707378032c7c18f8fb8aa0feb8a77
|
{
"intermediate": 0.33988043665885925,
"beginner": 0.4636009633541107,
"expert": 0.1965186446905136
}
|
39,617
|
implement main
open core
class facts - test
f : (string).
class predicates
af : ().
qualify: (integer Z) nondeterm (i).
clauses
% Декларация фактов класса main
f("Магистр (М), если 80<=Z<=100").
f("Специалист (S), если 60<= Z< 80").
f("Бакалавр (B), если 40<= Z< 60").
f("Неудачник (N), если 0<=Z< 40").
% Предикат перечисления фактов f с выводом их в стандартный поток вывода
af() :-
(f(X), stdio::write(X), stdio::nl, fail); !.
qualify(Z) :- (Z >= 80), (Z <= 100), stdio::write ('магистр').
qualify(Z) :- (Z >= 60), ( Z < 80), stdio::write ('специалист').
qualify(Z) :- (Z >= 40), (Z < 60), stdio::write ('бакалавр').
qualify(Z) :- (Z >= 0), (Z < 40), stdio::write ('неудачник').
qualify(Z) :- (Z >= 100), stdio::write ('недопустимое значение').
% Основной предикат, к нему происходит обращение из цели
run() :- console::init(),
af(),
stdio::write("Введите значение Z ="),
stdio::nl, hasDomain(integer,Z), Z = stdio::read(),
stdio::write(Z, "\n"),
% Обращение к предикату сканирования фактов
stdio::nl.
end implement main
goal
% ЦЕЛЬ:
console::runUtf8(main::run).
|
e59c6583386c09af9f87f741a15057b4
|
{
"intermediate": 0.4209701418876648,
"beginner": 0.38257691264152527,
"expert": 0.19645291566848755
}
|
39,618
|
Can the code below be improved for efficiency, speed and stability;
Private Sub Worksheet_BeforeDoubleClick(ByVal Target As Range, Cancel As Boolean)
'If Target.Cells.Count > 1 Then Exit Sub
'If Target.Count > 1 Then Exit Sub
If Target.Count > 1 Or IsNumeric(Target.Value) Then Exit Sub
Dim FormulaReference As String
FormulaReference = Target.Formula
If Left(FormulaReference, 1) = "=" Then
' Remove leading "=" and single apostrophes around the worksheet name:
FormulaReference = Mid(FormulaReference, 2) ' Remove leading "="
FormulaReference = Replace(FormulaReference, "'", "") ' Remove single apostrophes
' Extract worksheet name and cell address using Split:
Dim FormulaParts As Variant
FormulaParts = Split(FormulaReference, "!")
If UBound(FormulaParts) >= 1 Then
Dim WorksheetName As String, CellAddress As String
WorksheetName = FormulaParts(0)
CellAddress = Right(FormulaReference, Len(FormulaReference) - Len(WorksheetName) - 1)
Dim DestinationWorksheet As Worksheet
Set DestinationWorksheet = ThisWorkbook.Worksheets(WorksheetName)
If Not DestinationWorksheet Is Nothing Then
DestinationWorksheet.Activate
DestinationWorksheet.Range(CellAddress).Select
End If
End If
End If
Cancel = True
End Sub
|
8fa6dc7c8b38c2a3c48c0fbe8dedfe3d
|
{
"intermediate": 0.41069746017456055,
"beginner": 0.3766055703163147,
"expert": 0.21269693970680237
}
|
39,619
|
how do i add a local file which is in the folder files , same image: globeImageUrl="//unpkg.com/three-globe/example/img/earth-dark.jpg"
|
e14e8102fa5d0088db26a78a5f1c9dee
|
{
"intermediate": 0.36111167073249817,
"beginner": 0.2444121092557907,
"expert": 0.3944762647151947
}
|
39,620
|
How to output all possible value states in pandas?
|
2b27751a23f3c82447b6b111556a3a6e
|
{
"intermediate": 0.23160654306411743,
"beginner": 0.07441144436597824,
"expert": 0.693981945514679
}
|
39,621
|
check this code:
fn main() {
init_with_level(Level::Info).unwrap();
let args: Args = Args::parse();
args.check().unwrap_or_else(|e| {
error!("{}", e);
std::process::exit(1);
});
info!("{:?}", args);
rayon::ThreadPoolBuilder::new()
.num_threads(args.threads)
.build_global()
.unwrap();
let start = std::time::Instant::now();
let bed = reader(&args.bed).unwrap();
let isoseq = reader(&args.reads).unwrap();
info!("Parsing records...");
let (tracks, pseudomap) = parse_tracks(&bed).unwrap();
let (reads, _) = parse_tracks(&isoseq).unwrap();
info!(
"Parsed {} annotation tracks and {} reads and started pseudomapping...",
tracks.len(),
reads.len()
);
let index = Arc::new(Track::new(tracks, pseudomap, reads));
let bucket = Arc::new(DashMap::<&String, Bucket>::new());
let pocket = Arc::new(DashMap::<Pocket, Vec<String>>::new());
index.reads.par_iter().for_each(|(read, record)| {
index
.pseudomap
.get(&record.chrom)
.unwrap()
.par_iter()
.for_each(|(start, end, id)| {
if record.tx_start >= *start - BOUNDARY && record.tx_end <= *end + BOUNDARY {
// a bucket needs to be of the form:
// read:
// [(start, end)] -> read_exons
// [(start, end)] -> gene_exons
// since a read could be pseudomapped to multiple transcripts,
// the gene_exons vector will be extended with the exons of each
// transcript.
let mut b_acc = bucket.entry(read).or_insert(Bucket::default());
b_acc.id.push(id.clone());
b_acc
.gene_exons
.extend(index.tracks.get(id).unwrap().coords.clone());
if b_acc.read_exons.is_empty() {
b_acc.read_exons = record.coords.clone();
}
}
// } else {
// bucket.entry(read).or_insert(Bucket::default());
// }
});
});
if bucket.len() == 0 {
error!("No reads were pseudomapped to the provided annotation.");
std::process::exit(1);
} else if bucket.len() < index.reads.len() / 2 {
info!(
"Pseudomapped {} ({:.2}%) to the provided annotation.",
bucket.len(),
(bucket.len() as f64 / index.reads.len() as f64) * 100.0
);
warn!("Less than 50% of reads were pseudomapped to the provided annotation.");
} else {
info!(
"Pseudomapped {} ({:.2}%) reads to the provided annotation.",
bucket.len(),
(bucket.len() as f64 / index.reads.len() as f64) * 100.0
);
}
info!("Classifying reads into pockets...");
bucket.par_iter_mut().for_each(|mut entry| {
entry.value_mut().gene_exons.par_sort_unstable();
entry.value_mut().gene_exons.dedup();
let read = entry.key();
let exons = entry.value();
if exons.read_exons.is_empty() {
pocket
.entry(Pocket::Unmapped)
.or_insert(Vec::new())
.push(index.reads[*read].line.clone());
return;
}
let state = find_exon_matches(&exons);
// fill pockets based on read state
let id = if state { Pocket::Pass } else { Pocket::Fail };
let mut p_acc = pocket.entry(id).or_insert(Vec::new());
p_acc.push(index.reads[*read].line.clone());
});
// do we need a sorting step?
// pocket.par_iter_mut().for_each(|mut entry| {
// entry.value_mut().par_sort_unstable();
// });
pocket.iter().for_each(|entry| {
info!(
"Pocket: {:?} contains {} reads.",
entry.key(),
entry.value().len()
);
});
write_objs(&pocket);
let elapsed = start.elapsed();
info!("Elapsed: {:?}", elapsed);
}
fn find_exon_matches(bucket: &Bucket) -> bool {
let mut gene_exon_indices = VecDeque::from_iter(0..bucket.gene_exons.len());
// let mut matches = Vec::new();
let mut status = true;
for (i, &(start, end)) in bucket.read_exons.iter().enumerate() {
let is_first_or_last = i == 0 || i == bucket.read_exons.len() - 1;
while let Some(&gene_exon_index) = gene_exon_indices.front() {
let (gene_start, gene_end) = bucket.gene_exons[gene_exon_index];
let mut is_match = false;
// let mut is_retention = false;
if is_first_or_last {
if i == 0 {
// first exon start is allowed to be less than gene start
is_match = end <= gene_end;
} else {
// last exon end is allowed to be greater than gene end
is_match = start >= gene_start;
}
} else {
// for any middle exons, they must be fully contained within a gene exon
is_match = start >= gene_start && end <= gene_end;
// is_retention = start < gene_start && end > gene_end
// || start < gene_start && end <= gene_end
// || start >= gene_start && end > gene_end;
}
if is_match {
// matches.push(gene_exon_index);
status = true;
gene_exon_indices.pop_front();
break;
} else if gene_end < start {
// if the current gene exon ends before the read exon starts,
// it can’t be a match, and we can safely discard it.
status = true;
gene_exon_indices.pop_front();
} else {
// if there is evidence of intron retention, break the loop
// and put this read in a separate bucket
// println!("Intron retention detected for read: {}", read);
status = false;
break;
}
} // end while
if status == false {
break;
}
} // end for
status
}
if there are improvements on how to make it a lot more faster or more efficient, please implement them. Use any crate, trick, algorithm you want. You are free to modiify anything-
|
e5c871cdc558a97467e49e5fef33719a
|
{
"intermediate": 0.38775473833084106,
"beginner": 0.5075390934944153,
"expert": 0.10470614582300186
}
|
39,622
|
Нужно смоделировать на Visual prolog 7.5 карту дорог, необходимую для решения задачи
коммивояжёра (содержит города, дороги между городами и протяженности этих дорог.
implement main
open core
class facts - test
f : (string).
class predicates
af : ().
clauses
% Декларация фактов класса main
f(“a до b = 10”).
f(“a до e = 1”).
f(“a до d = 4”).
f(“c до b = 1”).
f(“c до e = 2”).
f(“c до d = 1”).
f(“e до b = 3”).
f(“e до d = 3”).
f(“f до b = 15”).
f(“f до d = 7”).
f(“f до g = 6”).
f(“g до d = 5”).
% Предикат перечисления фактов f с выводом их в стандартный поток вывода
af() :-
(f(X), stdio::write(X), stdio::nl, fail); !.
% Основной предикат, к нему происходит обращение из цели
run() :-
% Обращение к предикату сканирования фактов
af(),
% Ждем ввода символа, а по сути программы - нажатия клавиши <Enter>
_ = stdio::readChar().
end implement main
goal
% ЦЕЛЬ:
console::runUtf8(main::run).
Правильное решение
|
0546d534aadb7996ea254e91261fd9fe
|
{
"intermediate": 0.37284737825393677,
"beginner": 0.4881899356842041,
"expert": 0.13896264135837555
}
|
39,623
|
implement main
open core
class facts
distance : (string, string, int).
class predicates
af : ().
clauses
distance("a", "b", 10).
distance("a", "e", 1).
distance("a", "d", 4).
distance("c", "b", 1).
distance("c", "e", 2).
distance("c", "d", 1).
distance("e", "b", 3).
distance("e", "d", 3).
distance("f", "b", 15).
distance("f", "d", 7).
distance("f", "g", 6).
distance("g", "d", 5).
af() :-
distance(X, Y, Dist), writef("%w до %w = %w", [X, Y, Dist]), nl, fail; !.
run() :-
af(),
_ = readChar().
end implement main
goal
console::runUtf8(main::run).
вот такие ошибки
main.pro(6,33)
error c205 : Unknown domain/interface 'int' in pack 'main.pack'
main.pro(28,31)
error c229 : Undeclared identifier 'writef/2'
main.pro(28,70)
error c229 : Undeclared identifier 'nl'
main.pro(32,13)
error c229 : Undeclared identifier 'readChar/0->'
|
a33b6acd4cec808350b9036b9322917b
|
{
"intermediate": 0.3893568217754364,
"beginner": 0.4162127375602722,
"expert": 0.1944303810596466
}
|
39,624
|
hi
|
3637b99fd4646e47cfa050bccac2eb22
|
{
"intermediate": 0.3246487081050873,
"beginner": 0.27135494351387024,
"expert": 0.40399640798568726
}
|
39,625
|
to specify a condition in js code
|
7bb8b235692f338bdbc322448170e42b
|
{
"intermediate": 0.29526329040527344,
"beginner": 0.3755258619785309,
"expert": 0.3292108476161957
}
|
39,626
|
Is it possible to set ORTHANC DICOM Aet to multiple names, so you dont have to reconfigure SCUs
|
803c60232b613ef1d987102387a7c981
|
{
"intermediate": 0.4158625900745392,
"beginner": 0.19912728667259216,
"expert": 0.3850100636482239
}
|
39,627
|
!==
|
9c4e298f43030f00b3d703acadb088ec
|
{
"intermediate": 0.3100382089614868,
"beginner": 0.3409659266471863,
"expert": 0.3489958941936493
}
|
39,628
|
Why does the following Python loop always return true?
|
99e922dac7ce7e7503e8fc739fcb0de9
|
{
"intermediate": 0.19575762748718262,
"beginner": 0.640774667263031,
"expert": 0.16346772015094757
}
|
39,629
|
heres the html, remember it:
<body class="_webp">
<div class="wrapper _loaded">
<header class="header _lp">
<div class="header__content">
<div class="header__menu menu">
<div class="menu__icon icon-menu">
<span></span>
<span></span>
<span></span>
</div>
<!-- Для предотвращения мигания основного меню style="display: none;", убирается после загрузки скрипта -->
<nav class="menu__body" style="">
<div class="menu__body-box">
<ul class="menu__list _container">
<li>
<a class="menu__link" href="https://smartlab.news/login">Авторизация</a>
</li>
<li><a class="menu__link" href="https://smartlab.news/archive">Архив новостей</a></li>
</ul>
</div>
</nav>
</div>
<div class="header__setting setting">
<div class="setting__icon">
<svg class="setting__svg">
<use xlink:href=" https://smartlab.news/images/symbol/sprite.svg#settings"></use>
</svg>
</div>
<div class="setting__body" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;">
<form class="setting__form" name="settings">
<div class="setting__column">
<div class="setting__title">Выбор темы</div>
<div class="setting__box">
<label class="setting__item radio" for="black-red">
<input class="radio__input" type="radio" name="theme" value="black-red" id="black-red">
<span class="radio__text">черно-рыжая</span>
</label>
<label class="setting__item radio" for="black-white">
<input class="radio__input" type="radio" name="theme" value="black-white" id="black-white">
<span class="radio__text">черно-белая</span>
</label>
<label class="setting__item radio" for="light">
<input class="radio__input" type="radio" name="theme" value="light" id="light" checked="">
<span class="radio__text">белая</span>
</label>
</div>
</div>
<div class="setting__column setting__column_last">
<div class="setting__title">Выбор стиля шрифта</div>
<div class="setting__box">
<label class="setting__item radio" for="Roboto">
<input class="radio__input" type="radio" name="font-family" value="Roboto" id="Roboto" checked="">
<span class="radio__text">Roboto</span>
</label>
<label class="setting__item radio" for="Lora">
<input class="radio__input" type="radio" name="font-family" value="Lora" id="Lora">
<span class="radio__text">Lora</span>
</label>
<label class="setting__item radio" for="Arial">
<input class="radio__input" type="radio" name="font-family" value="Arial" id="Arial">
<span class="radio__text">Arial</span>
</label>
<label class="setting__item radio" for="OpenSans">
<input class="radio__input" type="radio" name="font-family" value="OpenSans" id="OpenSans">
<span class="radio__text">Open Sans</span>
</label>
<label class="setting__item radio" for="Consolas">
<input class="radio__input" type="radio" name="font-family" value="Consolas" id="Consolas">
<span class="radio__text">Consolas</span>
</label>
</div>
<div class="setting__box">
<label class="setting__item radio">
<input class="radio__input" type="radio" name="font-weight" value="normal" checked="" id="regular">
<span class="radio__text" for="regular">Обычный</span>
</label>
<label class="setting__item radio">
<input class="radio__input" type="radio" name="font-weight" value="bold" id="bold">
<span class="radio__text" for="bold">Жирный</span>
</label>
</div>
<div class="setting__box setting__box_horizontal">
<label class="setting__item radio">
<input class="radio__input" type="radio" name="font-size" value="30px" id="font-size-30">
<span class="radio__text" for="font-size-30" style="font-size: 30px">Aa</span>
</label>
<label class="setting__item radio">
<input class="radio__input" type="radio" name="font-size" value="23px" id="font-size-23" checked="">
<span class="radio__text" for="font-size-23" style="font-size: 23px">Aa</span>
</label>
<label class="setting__item radio">
<input class="radio__input" type="radio" name="font-size" value="15px" id="font-size-15">
<span class="radio__text" for="font-size-15" style="font-size: 15px">Aa</span>
</label>
</div>
</div>
</form>
</div></div></div></div><div class="simplebar-placeholder" style="width: auto; height: 530px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div>
</div>
<div class="header__title">
<div class="header__title-content">
<a href="https://smartlab.news" class="header__title-content"><span>SMARTLAB</span> <span>NEWS</span></a>
</div>
</div>
<div class="header__add-news">
</div>
<div class="header__search search">
<form action="https://smartlab.news/search" class="search__form" name="search__form">
<div class="search__body" style="">
<div class="search__body-inner">
<div class="search__controls">
<div class="search__input news-search">
<input class="input" id="header_search_input" name="query" type="text" dir="ltr" spellcheck="false" autocorrect="off" autocomplete="off" autocapitalize="off" maxlength="2048" role="combobox" aria-haspopup="true" aria-expanded="false" aria-controls="header-auto-list" aria-autocomplete="both" placeholder="Поиск компании">
</div>
<button class="search__submit news-button" type="submit" data-da=".search__input,567.98,3">
<span>Найти</span>
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#arrow"></use>
</svg>
</button>
<span class="search__cls-btn cls-btn" data-da=".search__input,567.98,2"><span></span></span>
</div>
<div class="search__auto-complete-wrap" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;">
<div class="search__auto-complete"></div>
</div></div></div></div><div class="simplebar-placeholder" style="width: auto; height: 0px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div>
</div>
</div>
<svg class="search__icon">
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#search"></use>
</svg>
</form>
</div>
<div class="header__filter filters">
<div class="filters__icon">
<span></span>
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#controls2"></use>
</svg>
</div>
<div class="filters__body" style="">
<form class="filters__content" action="https://smartlab.news/filters" method="POST" data-reset_url="https://smartlab.news/filters/clean" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: 100%; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;">
<input type="hidden" name="_token" value="LNY1IzDzxtCks2gKOi8xV28nghhA6Brg3DbOIwUe"> <button class="filters__close" type="button">
<svg width="20" height="20" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M3.333 17.251L17.251 3.333m-13.918 0l13.918 13.918" stroke-width="2.222" stroke-linecap="round"></path>
</svg>
</button>
<div class="filters__row">
<div class="filters__block">
<div class="filters__field">
<div class="filters__datepicker">
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#calendar"></use>
</svg>
<input name="date" value="" class="filters__date-input input datepicker-input" type="text" placeholder="Дата" autocomplete="off">
<div class="datepicker datepicker-dropdown datepicker-orient-top datepicker-orient-left" style="top: 0px; left: 0px;"><div class="datepicker-picker"><div class="datepicker-header"><div class="datepicker-title" style="display: none;"></div><div class="datepicker-controls"><button type="button" class="button prev-btn"><svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" viewBox="0 0 12 12" fill="none"><path d="M3 6L2.29289 5.29289L1.58579 6L2.29289 6.70711L3 6ZM8.70711 10.2929L3.70711 5.29289L2.29289 6.70711L7.29289 11.7071L8.70711 10.2929ZM3.70711 6.70711L8.70711 1.7071L7.29289 0.292891L2.29289 5.29289L3.70711 6.70711Z"></path></svg></button><button type="button" class="button view-switch">Февраль 2024</button><button type="button" class="button next-btn"><svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" viewBox="0 0 12 12" fill="none"><path d="M3 6L2.29289 5.29289L1.58579 6L2.29289 6.70711L3 6ZM8.70711 10.2929L3.70711 5.29289L2.29289 6.70711L7.29289 11.7071L8.70711 10.2929ZM3.70711 6.70711L8.70711 1.7071L7.29289 0.292891L2.29289 5.29289L3.70711 6.70711Z"></path></svg></button></div></div><div class="datepicker-main"><div class="datepicker-view"><div class="days"><div class="days-of-week"><span class="dow">Пн</span><span class="dow">Вт</span><span class="dow">Ср</span><span class="dow">Чт</span><span class="dow">Пт</span><span class="dow">Сб</span><span class="dow">Вс</span></div><div class="datepicker-grid"><span class="datepicker-cell day prev" data-date="1706475600000">29</span><span class="datepicker-cell day prev" data-date="1706562000000">30</span><span class="datepicker-cell day prev" data-date="1706648400000">31</span><span class="datepicker-cell day" data-date="1706734800000">1</span><span class="datepicker-cell day" data-date="1706821200000">2</span><span class="datepicker-cell day" data-date="1706907600000">3</span><span class="datepicker-cell day" data-date="1706994000000">4</span><span class="datepicker-cell day" data-date="1707080400000">5</span><span class="datepicker-cell day" data-date="1707166800000">6</span><span class="datepicker-cell day" data-date="1707253200000">7</span><span class="datepicker-cell day" data-date="1707339600000">8</span><span class="datepicker-cell day" data-date="1707426000000">9</span><span class="datepicker-cell day" data-date="1707512400000">10</span><span class="datepicker-cell day" data-date="1707598800000">11</span><span class="datepicker-cell day" data-date="1707685200000">12</span><span class="datepicker-cell day" data-date="1707771600000">13</span><span class="datepicker-cell day" data-date="1707858000000">14</span><span class="datepicker-cell day" data-date="1707944400000">15</span><span class="datepicker-cell day" data-date="1708030800000">16</span><span class="datepicker-cell day" data-date="1708117200000">17</span><span class="datepicker-cell day focused" data-date="1708203600000">18</span><span class="datepicker-cell day" data-date="1708290000000">19</span><span class="datepicker-cell day" data-date="1708376400000">20</span><span class="datepicker-cell day" data-date="1708462800000">21</span><span class="datepicker-cell day" data-date="1708549200000">22</span><span class="datepicker-cell day" data-date="1708635600000">23</span><span class="datepicker-cell day" data-date="1708722000000">24</span><span class="datepicker-cell day" data-date="1708808400000">25</span><span class="datepicker-cell day" data-date="1708894800000">26</span><span class="datepicker-cell day" data-date="1708981200000">27</span><span class="datepicker-cell day" data-date="1709067600000">28</span><span class="datepicker-cell day" data-date="1709154000000">29</span><span class="datepicker-cell day next" data-date="1709240400000">1</span><span class="datepicker-cell day next" data-date="1709326800000">2</span><span class="datepicker-cell day next" data-date="1709413200000">3</span><span class="datepicker-cell day next" data-date="1709499600000">4</span><span class="datepicker-cell day next" data-date="1709586000000">5</span><span class="datepicker-cell day next" data-date="1709672400000">6</span><span class="datepicker-cell day next" data-date="1709758800000">7</span><span class="datepicker-cell day next" data-date="1709845200000">8</span><span class="datepicker-cell day next" data-date="1709931600000">9</span><span class="datepicker-cell day next" data-date="1710018000000">10</span></div></div></div></div><div class="datepicker-footer"><div class="datepicker-controls"><button type="button" class="button today-btn" style="display: none;">Today</button><button type="button" class="button clear-btn">Очистить</button></div></div></div></div></div>
</div>
<div class="filters__field">
<div class="SumoSelect sumo_country_id" tabindex="0" role="button" aria-expanded="false"><select id="country" name="country_id" tabindex="-1" class="SumoUnder">
<option value="-1" selected="">Все страны</option>
<option value="1" selected="">Россия</option>
<option value="2">США</option>
<option value="3">Китай</option>
<option value="24">Евросоюз</option>
</select><p class="CaptionCont SelectBox undefined" title=" Россия"><span> Россия</span><label><i></i></label></p><div class="optWrapper" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;"><ul class="options"><li class="opt"><label>Все страны</label></li><li class="opt selected"><label>Россия</label></li><li class="opt"><label>США</label></li><li class="opt"><label>Китай</label></li><li class="opt"><label>Евросоюз</label></li></ul></div></div></div></div><div class="simplebar-placeholder" style="width: 0px; height: 0px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div></div>
</div>
<div class="filters__field">
<div class="SumoSelect sumo_type_id" tabindex="0" role="button" aria-expanded="false"><select id="event_types" name="type_id[]" multiple="" tabindex="-1" class="SumoUnder">
<option value="1" selected="">Новость</option>
<option value="2" selected="">Мнение (аналитика)</option>
<option value="4" selected="">📈📉 Причины роста\падения</option>
<option value="5" selected="">Раскрытие e-disclosure</option>
<option value="6" selected="">Раскрытие срочное</option>
<option value="7">Раскрытие США</option>
<option value="8" selected="">Сущфакты</option>
<option value="10" selected="">Отчеты РСБУ</option>
<option value="11" selected="">Отчеты МСФО</option>
<option value="12" selected="">Пресс релизы</option>
<option value="14" selected="">Сделки инсайдеров</option>
<option value="15" selected="">ДИВИДЕНДЫ</option>
<option value="16" selected="">Премиум</option>
</select><p class="CaptionCont SelectBox undefined" title=" Выбранные типы (12)"><span> Выбранные типы (12)</span><label><i></i></label></p><div class="optWrapper multiple" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;"><ul class="options"><li class="opt selected"><span><i></i></span><label>Новость</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Мнение (аналитика)</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>📈📉 Причины роста\падения</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Раскрытие e-disclosure</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Раскрытие срочное</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt"><span><i></i></span><label>Раскрытие США</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Сущфакты</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Отчеты РСБУ</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Отчеты МСФО</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Пресс релизы</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Сделки инсайдеров</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>ДИВИДЕНДЫ</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Премиум</label><button class="radio-sumo-btn" type="button"></button></li></ul><div class="MultiControls"><p tabindex="0" class="btnOk">OK</p><p tabindex="0" class="btnCancel">Cancel</p></div></div></div></div></div><div class="simplebar-placeholder" style="width: 0px; height: 0px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div></div>
</div>
<div class="filters__field">
<div class="SumoSelect sumo_extra_tags" tabindex="0" role="button" aria-expanded="false"><select id="extra_tags" name="extra_tags[]" multiple="" tabindex="-1" class="SumoUnder">
<option value="-1" selected="">Без раздела</option>
<option value="1" selected="">Акции</option>
<option value="3" selected="">Облигации</option>
<option value="6" selected="">Брокеры</option>
<option value="2" selected="">Банки</option>
<option value="7" selected="">Forex</option>
<option value="10" selected="">Криптовалюта</option>
</select><p class="CaptionCont SelectBox undefined" title=" Выбраны все разделы (7) "><span> Выбраны все разделы (7) </span><label><i></i></label></p><div class="optWrapper multiple" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;"><ul class="options"><li class="opt selected"><span><i></i></span><label>Без раздела</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Акции</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Облигации</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Брокеры</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Банки</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Forex</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Криптовалюта</label><button class="radio-sumo-btn" type="button"></button></li></ul><div class="MultiControls"><p tabindex="0" class="btnOk">OK</p><p tabindex="0" class="btnCancel">Cancel</p></div></div></div></div></div><div class="simplebar-placeholder" style="width: 0px; height: 0px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div></div>
</div>
<div class="filters__field">
<div class="SumoSelect sumo_significance" tabindex="0" role="button" aria-expanded="false"><select id="significance" name="significance" tabindex="-1" class="SumoUnder">
<option value="3">Важность ⭐️⭐️⭐️</option>
<option value="2">Важность ⭐️⭐️ и выше</option>
<option value="1">Важность ⭐️ и выше</option>
<option value="0" selected="">Не фильтровать важность</option>
</select><p class="CaptionCont SelectBox undefined" title=" Не фильтровать важность"><span> Не фильтровать важность</span><label><i></i></label></p><div class="optWrapper" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;"><ul class="options"><li class="opt"><label>Важность ⭐️⭐️⭐️</label></li><li class="opt"><label>Важность ⭐️⭐️ и выше</label></li><li class="opt"><label>Важность ⭐️ и выше</label></li><li class="opt selected"><label>Не фильтровать важность</label></li></ul></div></div></div></div><div class="simplebar-placeholder" style="width: 0px; height: 0px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div></div>
</div>
</div>
<div class="filters__block">
<div class="filters__field">
<label class="filters__checkbox">
<input class="filters__checkbox-input" type="checkbox" name="importance" value="1">
<span class="filters__checkbox-text">Новости красной строкой</span>
</label>
</div>
<hr>
<div class="filters__field" title="Фильтры будут применены страницах компаний, тегов, разделов">
<label class="filters__checkbox">
<input class="filters__checkbox-input" style="cursor: help;" type="checkbox" name="accept_anywhere" value="1">
<span class="filters__checkbox-text" style="cursor: help;">Фильтровать на всех страницах</span>
</label>
</div>
<div class="filters__field">
<div class="filters__btns">
<button class="filters__btn filters__btn--reset" type="reset">Сбросить</button>
<button class="filters__btn filters__btn--submit" type="submit">Применить</button>
</div>
</div>
</div>
</div>
</div></div></div></div><div class="simplebar-placeholder" style="width: auto; height: 552px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></form>
</div>
</div>
</div>
</header>
|
5c5e7c926db1a2eca80abbb7b3c9cd4b
|
{
"intermediate": 0.38592198491096497,
"beginner": 0.5054340958595276,
"expert": 0.10864400118589401
}
|
39,630
|
<div class="news__link">
<a href="https://smartlab.news/read/106525-ir-gazprom-gazpromu-31-god" target="_blank">
IR Газпром: Газпрому — 31 год!
</a>
</div>
extract the title Газпром: Газпрому — 31 год and link https://smartlab.news/read/106525-ir-gazprom-gazpromu-31-god using soup with python
|
42d4ee55d78be626a38d3270d344ff78
|
{
"intermediate": 0.33629661798477173,
"beginner": 0.25279542803764343,
"expert": 0.41090792417526245
}
|
39,631
|
<div class="news__link">
<a href="https://smartlab.news/read/106525-ir-gazprom-gazpromu-31-god" target="_blank">
IR Газпром: Газпрому — 31 год!
</a>
</div>
https://smartlab.news/login
extract the title "Газпром: Газпрому — 31 год" and link "https://smartlab.news/read/106525-ir-gazprom-gazpromu-31-god" using soup with python
|
82b43bc71380ae10c37f89f34ef9c0ce
|
{
"intermediate": 0.35632720589637756,
"beginner": 0.24385058879852295,
"expert": 0.3998222351074219
}
|
39,632
|
heres the html <body class="_webp">
<div class="wrapper _loaded">
<header class="header _lp">
<div class="header__content">
<div class="header__menu menu">
<div class="menu__icon icon-menu">
<span></span>
<span></span>
<span></span>
</div>
<!-- Для предотвращения мигания основного меню style="display: none;", убирается после загрузки скрипта -->
<nav class="menu__body" style="">
<div class="menu__body-box">
<ul class="menu__list _container">
<li>
<a class="menu__link" href="https://smartlab.news/login">Авторизация</a>
</li>
<li><a class="menu__link" href="https://smartlab.news/archive">Архив новостей</a></li>
</ul>
</div>
</nav>
</div>
<div class="header__setting setting">
<div class="setting__icon">
<svg class="setting__svg">
<use xlink:href=" https://smartlab.news/images/symbol/sprite.svg#settings"></use>
</svg>
</div>
<div class="setting__body" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;">
<form class="setting__form" name="settings">
<div class="setting__column">
<div class="setting__title">Выбор темы</div>
<div class="setting__box">
<label class="setting__item radio" for="black-red">
<input class="radio__input" type="radio" name="theme" value="black-red" id="black-red">
<span class="radio__text">черно-рыжая</span>
</label>
<label class="setting__item radio" for="black-white">
<input class="radio__input" type="radio" name="theme" value="black-white" id="black-white">
<span class="radio__text">черно-белая</span>
</label>
<label class="setting__item radio" for="light">
<input class="radio__input" type="radio" name="theme" value="light" id="light" checked="">
<span class="radio__text">белая</span>
</label>
</div>
</div>
<div class="setting__column setting__column_last">
<div class="setting__title">Выбор стиля шрифта</div>
<div class="setting__box">
<label class="setting__item radio" for="Roboto">
<input class="radio__input" type="radio" name="font-family" value="Roboto" id="Roboto" checked="">
<span class="radio__text">Roboto</span>
</label>
<label class="setting__item radio" for="Lora">
<input class="radio__input" type="radio" name="font-family" value="Lora" id="Lora">
<span class="radio__text">Lora</span>
</label>
<label class="setting__item radio" for="Arial">
<input class="radio__input" type="radio" name="font-family" value="Arial" id="Arial">
<span class="radio__text">Arial</span>
</label>
<label class="setting__item radio" for="OpenSans">
<input class="radio__input" type="radio" name="font-family" value="OpenSans" id="OpenSans">
<span class="radio__text">Open Sans</span>
</label>
<label class="setting__item radio" for="Consolas">
<input class="radio__input" type="radio" name="font-family" value="Consolas" id="Consolas">
<span class="radio__text">Consolas</span>
</label>
</div>
<div class="setting__box">
<label class="setting__item radio">
<input class="radio__input" type="radio" name="font-weight" value="normal" checked="" id="regular">
<span class="radio__text" for="regular">Обычный</span>
</label>
<label class="setting__item radio">
<input class="radio__input" type="radio" name="font-weight" value="bold" id="bold">
<span class="radio__text" for="bold">Жирный</span>
</label>
</div>
<div class="setting__box setting__box_horizontal">
<label class="setting__item radio">
<input class="radio__input" type="radio" name="font-size" value="30px" id="font-size-30">
<span class="radio__text" for="font-size-30" style="font-size: 30px">Aa</span>
</label>
<label class="setting__item radio">
<input class="radio__input" type="radio" name="font-size" value="23px" id="font-size-23" checked="">
<span class="radio__text" for="font-size-23" style="font-size: 23px">Aa</span>
</label>
<label class="setting__item radio">
<input class="radio__input" type="radio" name="font-size" value="15px" id="font-size-15">
<span class="radio__text" for="font-size-15" style="font-size: 15px">Aa</span>
</label>
</div>
</div>
</form>
</div></div></div></div><div class="simplebar-placeholder" style="width: auto; height: 530px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div>
</div>
<div class="header__title header__title_article">
<a href="https://smartlab.news" class="header__back-icon">
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#arrow"></use>
</svg>
</a>
<a href="https://smartlab.news" class="header__title-content"><span>SMARTLAB</span> <span>NEWS</span></a>
</div>
<div class="header__add-news">
<button wire:id="eoPUn2K8Os7BREOnX1xM" onclick="window.location = "https://smartlab.news/login?redirect_to=https%3A%2F%2Fsmartlab.news%2Fread%2F106523-obem-investicii-rosseti-kuban-po-itogam-2023g-sostavil-182-mlrd-rub";" class="header__add-news-btn " title="Добавить в избранное" aria-label="Добавить новость">
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#bookmark_border"></use>
</svg>
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#bookmark_black"></use>
</svg>
</button>
</div>
<div class="header__search search">
<form action="https://smartlab.news/search" class="search__form" name="search__form">
<div class="search__body" style="">
<div class="search__body-inner">
<div class="search__controls">
<div class="search__input news-search">
<input class="input" id="header_search_input" name="query" type="text" dir="ltr" spellcheck="false" autocorrect="off" autocomplete="off" autocapitalize="off" maxlength="2048" role="combobox" aria-haspopup="true" aria-expanded="false" aria-controls="header-auto-list" aria-autocomplete="both" placeholder="Поиск компании">
</div>
<button class="search__submit news-button" type="submit" data-da=".search__input,567.98,3">
<span>Найти</span>
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#arrow"></use>
</svg>
</button>
<span class="search__cls-btn cls-btn" data-da=".search__input,567.98,2"><span></span></span>
</div>
<div class="search__auto-complete-wrap" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;">
<div class="search__auto-complete"></div>
</div></div></div></div><div class="simplebar-placeholder" style="width: auto; height: 0px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div>
</div>
</div>
<svg class="search__icon">
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#search"></use>
</svg>
</form>
</div>
<div class="header__filter filters">
<div class="filters__icon">
<span></span>
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#controls2"></use>
</svg>
</div>
<div class="filters__body" style="">
<form class="filters__content" action="https://smartlab.news/filters" method="POST" data-reset_url="https://smartlab.news/filters/clean" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: 100%; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;">
<input type="hidden" name="_token" value="LNY1IzDzxtCks2gKOi8xV28nghhA6Brg3DbOIwUe"> <button class="filters__close" type="button">
<svg width="20" height="20" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M3.333 17.251L17.251 3.333m-13.918 0l13.918 13.918" stroke-width="2.222" stroke-linecap="round"></path>
</svg>
</button>
<div class="filters__row">
<div class="filters__block">
<div class="filters__field">
<div class="filters__datepicker">
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#calendar"></use>
</svg>
<input name="date" value="" class="filters__date-input input datepicker-input" type="text" placeholder="Дата" autocomplete="off">
<div class="datepicker datepicker-dropdown datepicker-orient-top datepicker-orient-left" style="top: 0px; left: 0px;"><div class="datepicker-picker"><div class="datepicker-header"><div class="datepicker-title" style="display: none;"></div><div class="datepicker-controls"><button type="button" class="button prev-btn"><svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" viewBox="0 0 12 12" fill="none"><path d="M3 6L2.29289 5.29289L1.58579 6L2.29289 6.70711L3 6ZM8.70711 10.2929L3.70711 5.29289L2.29289 6.70711L7.29289 11.7071L8.70711 10.2929ZM3.70711 6.70711L8.70711 1.7071L7.29289 0.292891L2.29289 5.29289L3.70711 6.70711Z"></path></svg></button><button type="button" class="button view-switch">Февраль 2024</button><button type="button" class="button next-btn"><svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" viewBox="0 0 12 12" fill="none"><path d="M3 6L2.29289 5.29289L1.58579 6L2.29289 6.70711L3 6ZM8.70711 10.2929L3.70711 5.29289L2.29289 6.70711L7.29289 11.7071L8.70711 10.2929ZM3.70711 6.70711L8.70711 1.7071L7.29289 0.292891L2.29289 5.29289L3.70711 6.70711Z"></path></svg></button></div></div><div class="datepicker-main"><div class="datepicker-view"><div class="days"><div class="days-of-week"><span class="dow">Пн</span><span class="dow">Вт</span><span class="dow">Ср</span><span class="dow">Чт</span><span class="dow">Пт</span><span class="dow">Сб</span><span class="dow">Вс</span></div><div class="datepicker-grid"><span class="datepicker-cell day prev" data-date="1706475600000">29</span><span class="datepicker-cell day prev" data-date="1706562000000">30</span><span class="datepicker-cell day prev" data-date="1706648400000">31</span><span class="datepicker-cell day" data-date="1706734800000">1</span><span class="datepicker-cell day" data-date="1706821200000">2</span><span class="datepicker-cell day" data-date="1706907600000">3</span><span class="datepicker-cell day" data-date="1706994000000">4</span><span class="datepicker-cell day" data-date="1707080400000">5</span><span class="datepicker-cell day" data-date="1707166800000">6</span><span class="datepicker-cell day" data-date="1707253200000">7</span><span class="datepicker-cell day" data-date="1707339600000">8</span><span class="datepicker-cell day" data-date="1707426000000">9</span><span class="datepicker-cell day" data-date="1707512400000">10</span><span class="datepicker-cell day" data-date="1707598800000">11</span><span class="datepicker-cell day" data-date="1707685200000">12</span><span class="datepicker-cell day" data-date="1707771600000">13</span><span class="datepicker-cell day" data-date="1707858000000">14</span><span class="datepicker-cell day" data-date="1707944400000">15</span><span class="datepicker-cell day" data-date="1708030800000">16</span><span class="datepicker-cell day" data-date="1708117200000">17</span><span class="datepicker-cell day focused" data-date="1708203600000">18</span><span class="datepicker-cell day" data-date="1708290000000">19</span><span class="datepicker-cell day" data-date="1708376400000">20</span><span class="datepicker-cell day" data-date="1708462800000">21</span><span class="datepicker-cell day" data-date="1708549200000">22</span><span class="datepicker-cell day" data-date="1708635600000">23</span><span class="datepicker-cell day" data-date="1708722000000">24</span><span class="datepicker-cell day" data-date="1708808400000">25</span><span class="datepicker-cell day" data-date="1708894800000">26</span><span class="datepicker-cell day" data-date="1708981200000">27</span><span class="datepicker-cell day" data-date="1709067600000">28</span><span class="datepicker-cell day" data-date="1709154000000">29</span><span class="datepicker-cell day next" data-date="1709240400000">1</span><span class="datepicker-cell day next" data-date="1709326800000">2</span><span class="datepicker-cell day next" data-date="1709413200000">3</span><span class="datepicker-cell day next" data-date="1709499600000">4</span><span class="datepicker-cell day next" data-date="1709586000000">5</span><span class="datepicker-cell day next" data-date="1709672400000">6</span><span class="datepicker-cell day next" data-date="1709758800000">7</span><span class="datepicker-cell day next" data-date="1709845200000">8</span><span class="datepicker-cell day next" data-date="1709931600000">9</span><span class="datepicker-cell day next" data-date="1710018000000">10</span></div></div></div></div><div class="datepicker-footer"><div class="datepicker-controls"><button type="button" class="button today-btn" style="display: none;">Today</button><button type="button" class="button clear-btn">Очистить</button></div></div></div></div></div>
</div>
<div class="filters__field">
<div class="SumoSelect sumo_country_id" tabindex="0" role="button" aria-expanded="false"><select id="country" name="country_id" tabindex="-1" class="SumoUnder">
<option value="-1" selected="">Все страны</option>
<option value="1" selected="">Россия</option>
<option value="2">США</option>
<option value="3">Китай</option>
<option value="24">Евросоюз</option>
</select><p class="CaptionCont SelectBox undefined" title=" Россия"><span> Россия</span><label><i></i></label></p><div class="optWrapper" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;"><ul class="options"><li class="opt"><label>Все страны</label></li><li class="opt selected"><label>Россия</label></li><li class="opt"><label>США</label></li><li class="opt"><label>Китай</label></li><li class="opt"><label>Евросоюз</label></li></ul></div></div></div></div><div class="simplebar-placeholder" style="width: 0px; height: 0px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div></div>
</div>
<div class="filters__field">
<div class="SumoSelect sumo_type_id" tabindex="0" role="button" aria-expanded="false"><select id="event_types" name="type_id[]" multiple="" tabindex="-1" class="SumoUnder">
<option value="1" selected="">Новость</option>
<option value="2" selected="">Мнение (аналитика)</option>
<option value="4" selected="">📈📉 Причины роста\падения</option>
<option value="5" selected="">Раскрытие e-disclosure</option>
<option value="6" selected="">Раскрытие срочное</option>
<option value="7">Раскрытие США</option>
<option value="8" selected="">Сущфакты</option>
<option value="10" selected="">Отчеты РСБУ</option>
<option value="11" selected="">Отчеты МСФО</option>
<option value="12" selected="">Пресс релизы</option>
<option value="14" selected="">Сделки инсайдеров</option>
<option value="15" selected="">ДИВИДЕНДЫ</option>
<option value="16" selected="">Премиум</option>
</select><p class="CaptionCont SelectBox undefined" title=" Выбранные типы (12)"><span> Выбранные типы (12)</span><label><i></i></label></p><div class="optWrapper multiple" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;"><ul class="options"><li class="opt selected"><span><i></i></span><label>Новость</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Мнение (аналитика)</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>📈📉 Причины роста\падения</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Раскрытие e-disclosure</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Раскрытие срочное</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt"><span><i></i></span><label>Раскрытие США</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Сущфакты</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Отчеты РСБУ</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Отчеты МСФО</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Пресс релизы</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Сделки инсайдеров</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>ДИВИДЕНДЫ</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Премиум</label><button class="radio-sumo-btn" type="button"></button></li></ul><div class="MultiControls"><p tabindex="0" class="btnOk">OK</p><p tabindex="0" class="btnCancel">Cancel</p></div></div></div></div></div><div class="simplebar-placeholder" style="width: 0px; height: 0px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div></div>
</div>
<div class="filters__field">
<div class="SumoSelect sumo_extra_tags" tabindex="0" role="button" aria-expanded="false"><select id="extra_tags" name="extra_tags[]" multiple="" tabindex="-1" class="SumoUnder">
<option value="-1" selected="">Без раздела</option>
<option value="1" selected="">Акции</option>
<option value="3" selected="">Облигации</option>
<option value="6" selected="">Брокеры</option>
<option value="2" selected="">Банки</option>
<option value="7" selected="">Forex</option>
<option value="10" selected="">Криптовалюта</option>
</select><p class="CaptionCont SelectBox undefined" title=" Выбраны все разделы (7) "><span> Выбраны все разделы (7) </span><label><i></i></label></p><div class="optWrapper multiple" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;"><ul class="options"><li class="opt selected"><span><i></i></span><label>Без раздела</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Акции</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Облигации</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Брокеры</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Банки</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Forex</label><button class="radio-sumo-btn" type="button"></button></li><li class="opt selected"><span><i></i></span><label>Криптовалюта</label><button class="radio-sumo-btn" type="button"></button></li></ul><div class="MultiControls"><p tabindex="0" class="btnOk">OK</p><p tabindex="0" class="btnCancel">Cancel</p></div></div></div></div></div><div class="simplebar-placeholder" style="width: 0px; height: 0px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div></div>
</div>
<div class="filters__field">
<div class="SumoSelect sumo_significance" tabindex="0" role="button" aria-expanded="false"><select id="significance" name="significance" tabindex="-1" class="SumoUnder">
<option value="3">Важность ⭐️⭐️⭐️</option>
<option value="2">Важность ⭐️⭐️ и выше</option>
<option value="1">Важность ⭐️ и выше</option>
<option value="0" selected="">Не фильтровать важность</option>
</select><p class="CaptionCont SelectBox undefined" title=" Не фильтровать важность"><span> Не фильтровать важность</span><label><i></i></label></p><div class="optWrapper" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: auto; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;"><ul class="options"><li class="opt"><label>Важность ⭐️⭐️⭐️</label></li><li class="opt"><label>Важность ⭐️⭐️ и выше</label></li><li class="opt"><label>Важность ⭐️ и выше</label></li><li class="opt selected"><label>Не фильтровать важность</label></li></ul></div></div></div></div><div class="simplebar-placeholder" style="width: 0px; height: 0px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div></div>
</div>
</div>
<div class="filters__block">
<div class="filters__field">
<label class="filters__checkbox">
<input class="filters__checkbox-input" type="checkbox" name="importance" value="1">
<span class="filters__checkbox-text">Новости красной строкой</span>
</label>
</div>
<hr>
<div class="filters__field" title="Фильтры будут применены страницах компаний, тегов, разделов">
<label class="filters__checkbox">
<input class="filters__checkbox-input" style="cursor: help;" type="checkbox" name="accept_anywhere" value="1">
<span class="filters__checkbox-text" style="cursor: help;">Фильтровать на всех страницах</span>
</label>
</div>
<div class="filters__field">
<div class="filters__btns">
<button class="filters__btn filters__btn--reset" type="reset">Сбросить</button>
<button class="filters__btn filters__btn--submit" type="submit">Применить</button>
</div>
</div>
</div>
</div>
</div></div></div></div><div class="simplebar-placeholder" style="width: auto; height: 552px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></form>
</div>
</div>
</div>
</header>
<main class="page _font-family _font-weight _font-size" data-fontscale="" data-mobfontsize="18" style="font-family: Roboto; font-weight: normal; font-size: 23px; transition: all 0.25s linear 0s;">
<div class="page__inner" data-simplebar="init"><div class="simplebar-wrapper" style="margin: 0px;"><div class="simplebar-height-auto-observer-wrapper"><div class="simplebar-height-auto-observer"></div></div><div class="simplebar-mask"><div class="simplebar-offset" style="right: 0px; bottom: 0px;"><div class="simplebar-content-wrapper" style="height: 100%; overflow: hidden;"><div class="simplebar-content" style="padding: 0px;">
<section class="article">
<article class="article__content _font-size" data-mobfontsize="16" style="font-size: 23px; transition: all 0.25s linear 0s;">
<h1 class="article__title _font-family _font-size" data-fontscale="1" data-mobfontsize="16" style="font-family: Roboto; font-size: 23px; transition: all 0.25s linear 0s;">Объем инвестиций Россети Кубань по итогам 2023г составил 18,2 млрд руб
</h1>
<div class="article__text _font-family _font-size" data-fontscale="1" data-mobfontsize="16" style="font-family: Roboto; font-size: 23px; transition: all 0.25s linear 0s;">
<p>Объем инвестиций "<a class="dictionary_link" title="акции Россети Кубань форум" href="https://smart-lab.ru/forum/KUBE/" target="_blank">Россети Кубань</a>" (входит в группу "<a class="dictionary_link" title="акции Россети форум" href="https://smart-lab.ru/forum/RSTI/" target="_blank">Россети</a>") в 2023 году составил 18,2 млрд рублей, говорится в сообщении группы по итогам совещания с руководством компании, которое провел генеральный директор электросетевого холдинга Андрей Рюмин.<br>
<br>
В зоне ответственности «Россети Кубань» находятся <a class="dictionary_link" href="https://smart-lab.ru/bonds/Krasnodar-region/" target="_blank">Краснодарский край</a>, Республика Адыгея и федеральная территория «Сириус». <br>
<br>
<a href="https://smart-lab.ru/r.php?u=https%3A%2F%2Ftass.ru%2Fekonomika%2F20014191&s=2499538138" target="_blank">tass.ru/ekonomika/20014191</a></p> </div>
<div class="article__info info-article">
<div class="info-article__box _font-family _font-size" data-fontscale="0.8" data-mobfontsize="16" data-minfontsize="12" style="font-family: Roboto; font-size: 18.4px; transition: all 0.25s linear 0s;">
<div class="info-article__edition edition-info">
<button class="edition-info__btn" title="Версия для печати" aria-label="распечатать страницу">
<a target="_blank" onclick="print_page('https://smartlab.news/print/106523'); return false;">
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#print"></use>
</svg>
</a>
</button>
<button class="edition-info__btn" title="Копировать ссылку на статью" aria-label="копировать ссылку на статью">
<a onclick="copy_url('https://smartlab.news/i/106523'); return false;">
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#copy"></use>
</svg>
</a>
</button>
<div class="edition-info__date">
<span class="edition-info__date-title">
Вчера
</span>
<span class="edition-info__date-data">
16:39
</span>
</div>
<div class="edition-info__author">
<span class="edition-info__author-title">
<a href="https://smart-lab.ru/profile/Nordstream" class="edition-info__author-name">Nordstream</a>
</span>
</div>
</div>
<div class="info-article__row">
<div class="info-article__title">Страна</div>
<div class="info-article__value">
<a target="_blank" href="https://smartlab.news/country/Russia" class="info-article__link">
Россия
</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__title">Инструменты</div>
<div class="info-article__value">
<a target="_blank" href="https://smartlab.news/company/KUBE" class="info-article__link">Россети Кубань</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__title">Теги</div>
<div class="info-article__value">
<a href="https://smartlab.news/tag/%D0%B0%D0%BA%D1%86%D0%B8%D0%B8" class="info-article__link">
акции
</a>
<a href="https://smartlab.news/tag/%D0%B8%D0%BD%D0%B2%D0%B5%D1%81%D1%82%D0%B8%D1%86%D0%B8%D0%B8" class="info-article__link">
инвестиции
</a>
<a href="https://smartlab.news/tag/%D1%80%D0%BE%D1%81%D1%81%D0%B5%D1%82%D0%B8" class="info-article__link">
россети
</a>
<a href="https://smartlab.news/tag/%D0%A0%D0%BE%D1%81%D1%81%D0%B5%D1%82%D0%B8%20%D0%BA%D1%83%D0%B1%D0%B0%D0%BD%D1%8C" class="info-article__link">
Россети кубань
</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__title">Тип</div>
<div class="info-article__value">
<a target="_blank" href="https://smartlab.news/type/news" class="info-article__link">
Новость
</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__title">Раздел</div>
<div class="info-article__value">
<a href="https://smartlab.news/section/forum" class="info-article__link">
Акции
</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__value">
<a class="info-article__comment" href="https://smart-lab.ru/blog/988799.php#comments" target="_blank">Комментировать
на смартлабе</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__value">
<a class="info-article__comment" href="https://smartlab.news/q/106523" target="_blank">Обсудить
на форуме</a>
</div>
</div>
</div>
</div>
</article>
<div class="article__banner banner" data-da=".article__text,991.98,last">
<div class="banner__content _font-family _font-size" data-fontscale="1.9" data-mobfontsize="15" style="font-family: Roboto; font-size: 43.7px; transition: all 0.25s linear 0s;">
<div class="banner__content-text"></div>
</div>
</div>
</section>
<!--
0.00946998596191
2.50339508057E-5
2.59876251221E-5
0.000280857086182
//-->
</div></div></div></div><div class="simplebar-placeholder" style="width: auto; height: 1243px;"></div></div><div class="simplebar-track simplebar-horizontal" style="visibility: hidden;"><div class="simplebar-scrollbar" style="width: 0px; display: none;"></div></div><div class="simplebar-track simplebar-vertical" style="visibility: hidden;"><div class="simplebar-scrollbar" style="height: 0px; display: none;"></div></div></div>
</main>
<footer class="footer">
<div class="footer__container">
<div class="footer__content">
<div class="footer__item footer__item_h1">
<h1 class="footer__h1">Биржевые новости. Новости рынка акций</h1>
</div>
<div class="footer__item"><a href="https://smartlab.news/info" class="footer__link">Информация</a></div>
<div class="footer__item">
<!--LiveInternet counter--><a href="https://www.liveinternet.ru/click" rel="noreferrer" target="_blank"><img id="licnt3EDC" width="88" height="15" style="border:0" title="LiveInternet: показано число посетителей за сегодня" src="https://counter.yadro.ru/hit?t25.5;rhttps%3A//smartlab.news/;s2048*1152*24;uhttps%3A//smartlab.news/read/106523-obem-investicii-rosseti-kuban-po-itogam-2023g-sostavil-182-mlrd-rub;h%u041E%u0431%u044A%u0435%u043C%20%u0438%u043D%u0432%u0435%u0441%u0442%u0438%u0446%u0438%u0439%20%u0420%u043E%u0441%u0441%u0435%u0442%u0438%20%u041A%u0443%u0431%u0430%u043D%u044C%20%u043F%u043E%20%u0438%u0442%u043E%u0433%u0430%u043C%202023%u0433%20%u0441%u043E%u0441%u0442%u0430%u0432%u0438...%20%7C%20smartlab.news;0.21942426595176934" alt="LiveInternet счетчик посетителей за сегодня"></a><script async="" src="https://mc.yandex.ru/metrika/tag.js"></script><script async="" defer="" src="https://content.mql5.com/core.js"></script><script>(function(d,s){d.getElementById("licnt3EDC").src="https://counter.yadro.ru/hit?t25.5;r"+escape(d.referrer)+((typeof(s)=="undefined")?"":";s"+s.width+"*"+s.height+"*"+(s.colorDepth?s.colorDepth:s.pixelDepth))+";u"+escape(d.URL)+ ";h"+escape(d.title.substring(0,150))+";"+Math.random()})(document,screen)</script><!--/LiveInternet-->
</div>
</div>
</div>
</footer>
</div>
<script src="/js/vendors.min.js?id=6cc931b74c848d25b05e"></script>
<script src="/js/design.min.js?id=29430d50b4763e2dcd38"></script>
<script src="/livewire/livewire.js?id=83b555bb3e243bc25f35" data-turbo-eval="false" data-turbolinks-eval="false"></script><script data-turbo-eval="false" data-turbolinks-eval="false">window.livewire = new Livewire();window.Livewire = window.livewire;window.livewire_app_url = '';window.livewire_token = 'LNY1IzDzxtCks2gKOi8xV28nghhA6Brg3DbOIwUe';window.deferLoadingAlpine = function (callback) {window.addEventListener('livewire:load', function () {callback();});};let started = false;window.addEventListener('alpine:initializing', function () {if (! started) {window.livewire.start();started = true;}});document.addEventListener("DOMContentLoaded", function () {if (! started) {window.livewire.start();started = true;}});</script>
<!-- Finteza counter --><script defer="" type="text/javascript">!function(e,n,t,f,o,r){e.fz||(e.FintezaCoreObject=f,e.fz=e.fz||function(){(e.fz.q=e.fz.q||[]).push(arguments)},e.fz.l=+new Date,o=n.createElement(t),r=n.getElementsByTagName(t)[0],o.async=!0,o.defer=!0,o.src="https://content.mql5.com/core.js",r&&r.parentNode&&r.parentNode.insertBefore(o,r))}(window,document,"script","fz"),fz("register","website","onhrvpkhmfzwbaxlyhojyqynvnnnekcaty");</script><!-- /Finteza counter -->
<!-- Yandex.Metrika counter --><script defer="" type="text/javascript">!function(e,t,a,n,c){e.ym=e.ym||function(){(e.ym.a=e.ym.a||[]).push(arguments)},e.ym.l=+new Date,n=t.createElement(a),c=t.getElementsByTagName(a)[0],n.async=1,n.src="https://mc.yandex.ru/metrika/tag.js",c.parentNode.insertBefore(n,c)}(window,document,"script"),ym(74032771,"init",{clickmap:!0,trackLinks:!0,accurateTrackBounce:!0,webvisor:!0});</script><noscript><div><img src="https://mc.yandex.ru/watch/74032771" style="position:absolute; left:-9999px;" alt="" /></div></noscript><!-- /Yandex.Metrika counter -->
<script src="/js/app.js?id=26e5fa66ce89b62ff180"></script>
<script>
let clickOnFavoriteButton = function(target){
if(target.classList.contains('_active')){
target.classList.remove('_active');
}
else{
target.classList.add('_active')
}
}
</script>
<script>
navigator.permissions.query({
name: "clipboard-write"
}).then(result => {
if (result.state === "granted" || result.state === "prompt") {
/* write to the clipboard now */
console.log('Navigator permission "clipboard-write" has access');
} else {
console.warn('Navigator has no access to "clipboard-write" permission');
}
return false;
});
function copy_url(url) {
if (navigator.clipboard) {
navigator.clipboard.writeText(url).then(function() {
console.log('Ссылка скопирована в буфер обмена (navigator) ', url);
}, function() {
console.error('Ошибка копирования ссылки в буфер обмена');
});
} else {
let aux = document.createElement("input");
aux.setAttribute("value", url);
document.body.appendChild(aux);
aux.select();
document.execCommand("copy");
document.body.removeChild(aux);
console.log('Ссылка скопирована в буфер обмена ', url);
}
}
function print_page(url) {
let print_page = window.open(url, 'Печать страницы', 'height=600,width=950');
if (window.focus) {
print_page.focus()
}
return false;
}
</script>
</body>
exctract the "Объем инвестиций Россети Кубань по итогам 2023г составил 18,2 млрд руб
Объем инвестиций "Россети Кубань" (входит в группу "Россети") в 2023 году составил 18,2 млрд рублей, говорится в сообщении группы по итогам совещания с руководством компании, которое провел генеральный директор электросетевого холдинга Андрей Рюмин.
В зоне ответственности «Россети Кубань» находятся Краснодарский край, Республика Адыгея и федеральная территория «Сириус». "
saving all '\n"
|
5c324f4edd70a913370702459e2e8b75
|
{
"intermediate": 0.36090344190597534,
"beginner": 0.5208190083503723,
"expert": 0.11827754974365234
}
|
39,633
|
I have an Android app that uses Firebase Firestore database. I have successfully added a functionality (a different Class, activity) for the user to message me (the developer). Here it is:
package com.HidiStudios.BeST;
import android.app.AlertDialog;
import android.os.Bundle;
import android.text.TextWatcher;
import android.text.Editable;
import android.view.View;
import android.widget.Button;
import android.widget.EditText;
import android.widget.TextView;
import android.widget.Toast;
import androidx.annotation.NonNull;
import com.google.android.gms.tasks.OnFailureListener;
import com.google.android.gms.tasks.OnSuccessListener;
import com.google.firebase.firestore.FirebaseFirestore;
import com.google.firebase.firestore.DocumentReference;
import java.util.HashMap;
import java.util.Map;
public class MessageMeActivity extends BaseDrawerActivity {
private EditText messageEditText;
private Button sendMessageButton;
private FirebaseFirestore firestoreDB;
private TextView charCountTextView;
private static final int MAX_CHAR_COUNT = 2000;
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_message_me);
messageEditText = findViewById(R.id.messageEditText);
charCountTextView = findViewById(R.id.charCountTextView);
sendMessageButton = findViewById(R.id.sendMessageButton);
initializeDrawer();
// Initialize Firestore
firestoreDB = FirebaseFirestore.getInstance();
sendMessageButton.setOnClickListener(new View.OnClickListener() {
@Override
public void onClick(View view) {
sendMessage();
}
});
messageEditText.addTextChangedListener(new TextWatcher() {
@Override
public void beforeTextChanged(CharSequence charSequence, int start, int count, int after) {
// No action required before text changes
}
@Override
public void onTextChanged(CharSequence charSequence, int start, int before, int count) {
// No action required during text changes
}
@Override
public void afterTextChanged(Editable editable) {
int charCount = editable.length();
String counterText = charCount + "/" + MAX_CHAR_COUNT + " characters";
charCountTextView.setText(counterText);
}
});
}
private void sendMessage() {
String messageText = messageEditText.getText().toString().trim();
if (!messageText.isEmpty() && messageText.length() <= MAX_CHAR_COUNT) {
Map<String, Object> message = new HashMap<>();
message.put("content", messageText);
firestoreDB.collection("messages")
.add(message)
.addOnSuccessListener(new OnSuccessListener<DocumentReference>() {
@Override
public void onSuccess(DocumentReference documentReference) {
messageEditText.setText("");
showSuccessDialog();
}
})
.addOnFailureListener(new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
Toast.makeText(MessageMeActivity.this, "Failed to send message.", Toast.LENGTH_SHORT).show();
}
});
}
}
private void showSuccessDialog() {
// Using AlertDialog for Success Popup
new AlertDialog.Builder(this)
.setTitle("Message Sent Successfully")
.setMessage("Thank you for your message.")
.setPositiveButton("OK", null)
.show();
}
}
I want to be notified (as a developer) when a new message arrives. How can I get (for example an e-mail) notification, if someone has sent me a new message?
|
7a585f2c76d8d77aa1b91b67a7329d26
|
{
"intermediate": 0.3350251317024231,
"beginner": 0.48572900891304016,
"expert": 0.17924587428569794
}
|
39,634
|
heres the html
<div class=“wrapper _loaded”>
<header class=“header _lp”>
<div class=“header__content”>
<div class=“header__menu menu”>
<div class=“menu__icon icon-menu”>
<span></span>
<span></span>
<span></span>
</div>
<!-- Для предотвращения мигания основного меню style=“display: none;”, убирается после загрузки скрипта -->
<nav class=“menu__body” style=“”>
<div class=“menu__body-box”>
<ul class=“menu__list _container”>
<li>
<a class=“menu__link” href=“https://smartlab.news/login”>Авторизация</a>
</li>
<li><a class=“menu__link” href=“https://smartlab.news/archive”>Архив новостей</a></li>
</ul>
</div>
</nav>
</div>
<div class=“header__setting setting”>
<div class=“setting__icon”>
<svg class=“setting__svg”>
<use xlink:href=" https://smartlab.news/images/symbol/sprite.svg#settings"></use>
</svg>
</div>
<div class=“setting__body” data-simplebar=“init”><div class=“simplebar-wrapper” style=“margin: 0px;”><div class=“simplebar-height-auto-observer-wrapper”><div class=“simplebar-height-auto-observer”></div></div><div class=“simplebar-mask”><div class=“simplebar-offset” style=“right: 0px; bottom: 0px;”><div class=“simplebar-content-wrapper” style=“height: auto; overflow: hidden;”><div class=“simplebar-content” style=“padding: 0px;”>
<form class=“setting__form” name=“settings”>
<div class=“setting__column”>
<div class=“setting__title”>Выбор темы</div>
<div class=“setting__box”>
<label class=“setting__item radio” for=“black-red”>
<input class=“radio__input” type=“radio” name=“theme” value=“black-red” id=“black-red”>
<span class=“radio__text”>черно-рыжая</span>
</label>
<label class=“setting__item radio” for=“black-white”>
<input class=“radio__input” type=“radio” name=“theme” value=“black-white” id=“black-white”>
<span class=“radio__text”>черно-белая</span>
</label>
<label class=“setting__item radio” for=“light”>
<input class=“radio__input” type=“radio” name=“theme” value=“light” id=“light” checked=“”>
<span class=“radio__text”>белая</span>
</label>
</div>
</div>
<div class=“setting__column setting__column_last”>
<div class=“setting__title”>Выбор стиля шрифта</div>
<div class=“setting__box”>
<label class=“setting__item radio” for=“Roboto”>
<input class=“radio__input” type=“radio” name=“font-family” value=“Roboto” id=“Roboto” checked=“”>
<span class=“radio__text”>Roboto</span>
</label>
<label class=“setting__item radio” for=“Lora”>
<input class=“radio__input” type=“radio” name=“font-family” value=“Lora” id=“Lora”>
<span class=“radio__text”>Lora</span>
</label>
<label class=“setting__item radio” for=“Arial”>
<input class=“radio__input” type=“radio” name=“font-family” value=“Arial” id=“Arial”>
<span class=“radio__text”>Arial</span>
</label>
<label class=“setting__item radio” for=“OpenSans”>
<input class=“radio__input” type=“radio” name=“font-family” value=“OpenSans” id=“OpenSans”>
<span class=“radio__text”>Open Sans</span>
</label>
<label class=“setting__item radio” for=“Consolas”>
<input class=“radio__input” type=“radio” name=“font-family” value=“Consolas” id=“Consolas”>
<span class=“radio__text”>Consolas</span>
</label>
</div>
<div class=“setting__box”>
<label class=“setting__item radio”>
<input class=“radio__input” type=“radio” name=“font-weight” value=“normal” checked=“” id=“regular”>
<span class=“radio__text” for=“regular”>Обычный</span>
</label>
<label class=“setting__item radio”>
<input class=“radio__input” type=“radio” name=“font-weight” value=“bold” id=“bold”>
<span class=“radio__text” for=“bold”>Жирный</span>
</label>
</div>
<div class=“setting__box setting__box_horizontal”>
<label class=“setting__item radio”>
<input class=“radio__input” type=“radio” name=“font-size” value=“30px” id=“font-size-30”>
<span class=“radio__text” for=“font-size-30” style=“font-size: 30px”>Aa</span>
</label>
<label class=“setting__item radio”>
<input class=“radio__input” type=“radio” name=“font-size” value=“23px” id=“font-size-23” checked=“”>
<span class=“radio__text” for=“font-size-23” style=“font-size: 23px”>Aa</span>
</label>
<label class=“setting__item radio”>
<input class=“radio__input” type=“radio” name=“font-size” value=“15px” id=“font-size-15”>
<span class=“radio__text” for=“font-size-15” style=“font-size: 15px”>Aa</span>
</label>
</div>
</div>
</form>
</div></div></div></div><div class=“simplebar-placeholder” style=“width: auto; height: 530px;”></div></div><div class=“simplebar-track simplebar-horizontal” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“width: 0px; display: none;”></div></div><div class=“simplebar-track simplebar-vertical” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“height: 0px; display: none;”></div></div></div>
</div>
<div class=“header__title header__title_article”>
<a href=“https://smartlab.news” class=“header__back-icon”>
<svg>
<use xlink:href=“https://smartlab.news/images/symbol/sprite.svg#arrow”></use>
</svg>
</a>
<a href=“https://smartlab.news” class=“header__title-content”><span>SMARTLAB</span> <span>NEWS</span></a>
</div>
<div class=“header__add-news”>
<button wire:id=“eoPUn2K8Os7BREOnX1xM” onclick=“window.location = “https://smartlab.news/login?redirect_to=https%3A%2F%2Fsmartlab.news%2Fread%2F106523-obem-investicii-rosseti-kuban-po-itogam-2023g-sostavil-182-mlrd-rub";" class=“header__add-news-btn " title=“Добавить в избранное” aria-label=“Добавить новость”>
<svg>
<use xlink:href=“https://smartlab.news/images/symbol/sprite.svg#bookmark_border”></use>
</svg>
<svg>
<use xlink:href=“https://smartlab.news/images/symbol/sprite.svg#bookmark_black”></use>
</svg>
</button>
</div>
<div class=“header__search search”>
<form action=“https://smartlab.news/search” class=“search__form” name=“search__form”>
<div class=“search__body” style=””>
<div class=“search__body-inner”>
<div class=“search__controls”>
<div class=“search__input news-search”>
<input class=“input” id=“header_search_input” name=“query” type=“text” dir=“ltr” spellcheck=“false” autocorrect=“off” autocomplete=“off” autocapitalize=“off” maxlength=“2048” role=“combobox” aria-haspopup=“true” aria-expanded=“false” aria-controls=“header-auto-list” aria-autocomplete=“both” placeholder=“Поиск компании”>
</div>
<button class=“search__submit news-button” type=“submit” data-da=”.search__input,567.98,3">
<span>Найти</span>
<svg>
<use xlink:href=“https://smartlab.news/images/symbol/sprite.svg#arrow”></use>
</svg>
</button>
<span class=“search__cls-btn cls-btn” data-da=“.search__input,567.98,2”><span></span></span>
</div>
<div class=“search__auto-complete-wrap” data-simplebar=“init”><div class=“simplebar-wrapper” style=“margin: 0px;”><div class=“simplebar-height-auto-observer-wrapper”><div class=“simplebar-height-auto-observer”></div></div><div class=“simplebar-mask”><div class=“simplebar-offset” style=“right: 0px; bottom: 0px;”><div class=“simplebar-content-wrapper” style=“height: auto; overflow: hidden;”><div class=“simplebar-content” style=“padding: 0px;”>
<div class=“search__auto-complete”></div>
</div></div></div></div><div class=“simplebar-placeholder” style=“width: auto; height: 0px;”></div></div><div class=“simplebar-track simplebar-horizontal” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“width: 0px; display: none;”></div></div><div class=“simplebar-track simplebar-vertical” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“height: 0px; display: none;”></div></div></div>
</div>
</div>
<svg class=“search__icon”>
<use xlink:href=“https://smartlab.news/images/symbol/sprite.svg#search”></use>
</svg>
</form>
</div>
<div class=“header__filter filters”>
<div class=“filters__icon”>
<span></span>
<svg>
<use xlink:href=“https://smartlab.news/images/symbol/sprite.svg#controls2”></use>
</svg>
</div>
<div class=“filters__body” style=“”>
<form class=“filters__content” action=“https://smartlab.news/filters” method=“POST” data-reset_url=“https://smartlab.news/filters/clean” data-simplebar=“init”><div class=“simplebar-wrapper” style=“margin: 0px;”><div class=“simplebar-height-auto-observer-wrapper”><div class=“simplebar-height-auto-observer”></div></div><div class=“simplebar-mask”><div class=“simplebar-offset” style=“right: 0px; bottom: 0px;”><div class=“simplebar-content-wrapper” style=“height: 100%; overflow: hidden;”><div class=“simplebar-content” style=“padding: 0px;”>
<input type=“hidden” name=“_token” value=“LNY1IzDzxtCks2gKOi8xV28nghhA6Brg3DbOIwUe”> <button class=“filters__close” type=“button”>
<svg width=“20” height=“20” fill=“none” xmlns=“http://www.w3.org/2000/svg”>
<path d=“M3.333 17.251L17.251 3.333m-13.918 0l13.918 13.918” stroke-width=“2.222” stroke-linecap=“round”></path>
</svg>
</button>
<div class=“filters__row”>
<div class=“filters__block”>
<div class=“filters__field”>
<div class=“filters__datepicker”>
<svg>
<use xlink:href=“https://smartlab.news/images/symbol/sprite.svg#calendar”></use>
</svg>
<input name=“date” value=“” class=“filters__date-input input datepicker-input” type=“text” placeholder=“Дата” autocomplete=“off”>
<div class=“datepicker datepicker-dropdown datepicker-orient-top datepicker-orient-left” style=“top: 0px; left: 0px;”><div class=“datepicker-picker”><div class=“datepicker-header”><div class=“datepicker-title” style=“display: none;”></div><div class=“datepicker-controls”><button type=“button” class=“button prev-btn”><svg xmlns=“http://www.w3.org/2000/svg” width=“12” height=“12” viewBox=“0 0 12 12” fill=“none”><path d=“M3 6L2.29289 5.29289L1.58579 6L2.29289 6.70711L3 6ZM8.70711 10.2929L3.70711 5.29289L2.29289 6.70711L7.29289 11.7071L8.70711 10.2929ZM3.70711 6.70711L8.70711 1.7071L7.29289 0.292891L2.29289 5.29289L3.70711 6.70711Z”></path></svg></button><button type=“button” class=“button view-switch”>Февраль 2024</button><button type=“button” class=“button next-btn”><svg xmlns=“http://www.w3.org/2000/svg” width=“12” height=“12” viewBox=“0 0 12 12” fill=“none”><path d=“M3 6L2.29289 5.29289L1.58579 6L2.29289 6.70711L3 6ZM8.70711 10.2929L3.70711 5.29289L2.29289 6.70711L7.29289 11.7071L8.70711 10.2929ZM3.70711 6.70711L8.70711 1.7071L7.29289 0.292891L2.29289 5.29289L3.70711 6.70711Z”></path></svg></button></div></div><div class=“datepicker-main”><div class=“datepicker-view”><div class=“days”><div class=“days-of-week”><span class=“dow”>Пн</span><span class=“dow”>Вт</span><span class=“dow”>Ср</span><span class=“dow”>Чт</span><span class=“dow”>Пт</span><span class=“dow”>Сб</span><span class=“dow”>Вс</span></div><div class=“datepicker-grid”><span class=“datepicker-cell day prev” data-date=“1706475600000”>29</span><span class=“datepicker-cell day prev” data-date=“1706562000000”>30</span><span class=“datepicker-cell day prev” data-date=“1706648400000”>31</span><span class=“datepicker-cell day” data-date=“1706734800000”>1</span><span class=“datepicker-cell day” data-date=“1706821200000”>2</span><span class=“datepicker-cell day” data-date=“1706907600000”>3</span><span class=“datepicker-cell day” data-date=“1706994000000”>4</span><span class=“datepicker-cell day” data-date=“1707080400000”>5</span><span class=“datepicker-cell day” data-date=“1707166800000”>6</span><span class=“datepicker-cell day” data-date=“1707253200000”>7</span><span class=“datepicker-cell day” data-date=“1707339600000”>8</span><span class=“datepicker-cell day” data-date=“1707426000000”>9</span><span class=“datepicker-cell day” data-date=“1707512400000”>10</span><span class=“datepicker-cell day” data-date=“1707598800000”>11</span><span class=“datepicker-cell day” data-date=“1707685200000”>12</span><span class=“datepicker-cell day” data-date=“1707771600000”>13</span><span class=“datepicker-cell day” data-date=“1707858000000”>14</span><span class=“datepicker-cell day” data-date=“1707944400000”>15</span><span class=“datepicker-cell day” data-date=“1708030800000”>16</span><span class=“datepicker-cell day” data-date=“1708117200000”>17</span><span class=“datepicker-cell day focused” data-date=“1708203600000”>18</span><span class=“datepicker-cell day” data-date=“1708290000000”>19</span><span class=“datepicker-cell day” data-date=“1708376400000”>20</span><span class=“datepicker-cell day” data-date=“1708462800000”>21</span><span class=“datepicker-cell day” data-date=“1708549200000”>22</span><span class=“datepicker-cell day” data-date=“1708635600000”>23</span><span class=“datepicker-cell day” data-date=“1708722000000”>24</span><span class=“datepicker-cell day” data-date=“1708808400000”>25</span><span class=“datepicker-cell day” data-date=“1708894800000”>26</span><span class=“datepicker-cell day” data-date=“1708981200000”>27</span><span class=“datepicker-cell day” data-date=“1709067600000”>28</span><span class=“datepicker-cell day” data-date=“1709154000000”>29</span><span class=“datepicker-cell day next” data-date=“1709240400000”>1</span><span class=“datepicker-cell day next” data-date=“1709326800000”>2</span><span class=“datepicker-cell day next” data-date=“1709413200000”>3</span><span class=“datepicker-cell day next” data-date=“1709499600000”>4</span><span class=“datepicker-cell day next” data-date=“1709586000000”>5</span><span class=“datepicker-cell day next” data-date=“1709672400000”>6</span><span class=“datepicker-cell day next” data-date=“1709758800000”>7</span><span class=“datepicker-cell day next” data-date=“1709845200000”>8</span><span class=“datepicker-cell day next” data-date=“1709931600000”>9</span><span class=“datepicker-cell day next” data-date=“1710018000000”>10</span></div></div></div></div><div class=“datepicker-footer”><div class=“datepicker-controls”><button type=“button” class=“button today-btn” style=“display: none;”>Today</button><button type=“button” class=“button clear-btn”>Очистить</button></div></div></div></div></div>
</div>
<div class=“filters__field”>
<div class=“SumoSelect sumo_country_id” tabindex=“0” role=“button” aria-expanded=“false”><select id=“country” name=“country_id” tabindex=“-1” class=“SumoUnder”>
<option value=“-1” selected=“”>Все страны</option>
<option value=“1” selected=“”>Россия</option>
<option value=“2”>США</option>
<option value=“3”>Китай</option>
<option value=“24”>Евросоюз</option>
</select><p class=“CaptionCont SelectBox undefined” title=" Россия"><span> Россия</span><label><i></i></label></p><div class=“optWrapper” data-simplebar=“init”><div class=“simplebar-wrapper” style=“margin: 0px;”><div class=“simplebar-height-auto-observer-wrapper”><div class=“simplebar-height-auto-observer”></div></div><div class=“simplebar-mask”><div class=“simplebar-offset” style=“right: 0px; bottom: 0px;”><div class=“simplebar-content-wrapper” style=“height: auto; overflow: hidden;”><div class=“simplebar-content” style=“padding: 0px;”><ul class=“options”><li class=“opt”><label>Все страны</label></li><li class=“opt selected”><label>Россия</label></li><li class=“opt”><label>США</label></li><li class=“opt”><label>Китай</label></li><li class=“opt”><label>Евросоюз</label></li></ul></div></div></div></div><div class=“simplebar-placeholder” style=“width: 0px; height: 0px;”></div></div><div class=“simplebar-track simplebar-horizontal” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“width: 0px; display: none;”></div></div><div class=“simplebar-track simplebar-vertical” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“height: 0px; display: none;”></div></div></div></div>
</div>
<div class=“filters__field”>
<div class=“SumoSelect sumo_type_id” tabindex=“0” role=“button” aria-expanded=“false”><select id=“event_types” name=“type_id[]” multiple=“” tabindex=“-1” class=“SumoUnder”>
<option value=“1” selected=“”>Новость</option>
<option value=“2” selected=“”>Мнение (аналитика)</option>
<option value=“4” selected=“”>📈📉 Причины роста\падения</option>
<option value=“5” selected=“”>Раскрытие e-disclosure</option>
<option value=“6” selected=“”>Раскрытие срочное</option>
<option value=“7”>Раскрытие США</option>
<option value=“8” selected=“”>Сущфакты</option>
<option value=“10” selected=“”>Отчеты РСБУ</option>
<option value=“11” selected=“”>Отчеты МСФО</option>
<option value=“12” selected=“”>Пресс релизы</option>
<option value=“14” selected=“”>Сделки инсайдеров</option>
<option value=“15” selected=“”>ДИВИДЕНДЫ</option>
<option value=“16” selected=“”>Премиум</option>
</select><p class=“CaptionCont SelectBox undefined” title=" Выбранные типы (12)“><span> Выбранные типы (12)</span><label><i></i></label></p><div class=“optWrapper multiple” data-simplebar=“init”><div class=“simplebar-wrapper” style=“margin: 0px;”><div class=“simplebar-height-auto-observer-wrapper”><div class=“simplebar-height-auto-observer”></div></div><div class=“simplebar-mask”><div class=“simplebar-offset” style=“right: 0px; bottom: 0px;”><div class=“simplebar-content-wrapper” style=“height: auto; overflow: hidden;”><div class=“simplebar-content” style=“padding: 0px;”><ul class=“options”><li class=“opt selected”><span><i></i></span><label>Новость</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Мнение (аналитика)</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>📈📉 Причины роста\падения</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Раскрытие e-disclosure</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Раскрытие срочное</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt”><span><i></i></span><label>Раскрытие США</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Сущфакты</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Отчеты РСБУ</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Отчеты МСФО</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Пресс релизы</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Сделки инсайдеров</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>ДИВИДЕНДЫ</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Премиум</label><button class=“radio-sumo-btn” type=“button”></button></li></ul><div class=“MultiControls”><p tabindex=“0” class=“btnOk”>OK</p><p tabindex=“0” class=“btnCancel”>Cancel</p></div></div></div></div></div><div class=“simplebar-placeholder” style=“width: 0px; height: 0px;”></div></div><div class=“simplebar-track simplebar-horizontal” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“width: 0px; display: none;”></div></div><div class=“simplebar-track simplebar-vertical” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“height: 0px; display: none;”></div></div></div></div>
</div>
<div class=“filters__field”>
<div class=“SumoSelect sumo_extra_tags” tabindex=“0” role=“button” aria-expanded=“false”><select id=“extra_tags” name=“extra_tags[]” multiple=”" tabindex=“-1” class=“SumoUnder”>
<option value=“-1” selected=“”>Без раздела</option>
<option value=“1” selected=“”>Акции</option>
<option value=“3” selected=“”>Облигации</option>
<option value=“6” selected=“”>Брокеры</option>
<option value=“2” selected=“”>Банки</option>
<option value=“7” selected=“”>Forex</option>
<option value=“10” selected=“”>Криптовалюта</option>
</select><p class=“CaptionCont SelectBox undefined” title=" Выбраны все разделы (7) “><span> Выбраны все разделы (7) </span><label><i></i></label></p><div class=“optWrapper multiple” data-simplebar=“init”><div class=“simplebar-wrapper” style=“margin: 0px;”><div class=“simplebar-height-auto-observer-wrapper”><div class=“simplebar-height-auto-observer”></div></div><div class=“simplebar-mask”><div class=“simplebar-offset” style=“right: 0px; bottom: 0px;”><div class=“simplebar-content-wrapper” style=“height: auto; overflow: hidden;”><div class=“simplebar-content” style=“padding: 0px;”><ul class=“options”><li class=“opt selected”><span><i></i></span><label>Без раздела</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Акции</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Облигации</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Брокеры</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Банки</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Forex</label><button class=“radio-sumo-btn” type=“button”></button></li><li class=“opt selected”><span><i></i></span><label>Криптовалюта</label><button class=“radio-sumo-btn” type=“button”></button></li></ul><div class=“MultiControls”><p tabindex=“0” class=“btnOk”>OK</p><p tabindex=“0” class=“btnCancel”>Cancel</p></div></div></div></div></div><div class=“simplebar-placeholder” style=“width: 0px; height: 0px;”></div></div><div class=“simplebar-track simplebar-horizontal” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“width: 0px; display: none;”></div></div><div class=“simplebar-track simplebar-vertical” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“height: 0px; display: none;”></div></div></div></div>
</div>
<div class=“filters__field”>
<div class=“SumoSelect sumo_significance” tabindex=“0” role=“button” aria-expanded=“false”><select id=“significance” name=“significance” tabindex=”-1" class=“SumoUnder”>
<option value=“3”>Важность ⭐️⭐️⭐️</option>
<option value=“2”>Важность ⭐️⭐️ и выше</option>
<option value=“1”>Важность ⭐️ и выше</option>
<option value=“0” selected=“”>Не фильтровать важность</option>
</select><p class=“CaptionCont SelectBox undefined” title=" Не фильтровать важность"><span> Не фильтровать важность</span><label><i></i></label></p><div class=“optWrapper” data-simplebar=“init”><div class=“simplebar-wrapper” style=“margin: 0px;”><div class=“simplebar-height-auto-observer-wrapper”><div class=“simplebar-height-auto-observer”></div></div><div class=“simplebar-mask”><div class=“simplebar-offset” style=“right: 0px; bottom: 0px;”><div class=“simplebar-content-wrapper” style=“height: auto; overflow: hidden;”><div class=“simplebar-content” style=“padding: 0px;”><ul class=“options”><li class=“opt”><label>Важность ⭐️⭐️⭐️</label></li><li class=“opt”><label>Важность ⭐️⭐️ и выше</label></li><li class=“opt”><label>Важность ⭐️ и выше</label></li><li class=“opt selected”><label>Не фильтровать важность</label></li></ul></div></div></div></div><div class=“simplebar-placeholder” style=“width: 0px; height: 0px;”></div></div><div class=“simplebar-track simplebar-horizontal” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“width: 0px; display: none;”></div></div><div class=“simplebar-track simplebar-vertical” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“height: 0px; display: none;”></div></div></div></div>
</div>
</div>
<div class=“filters__block”>
<div class=“filters__field”>
<label class=“filters__checkbox”>
<input class=“filters__checkbox-input” type=“checkbox” name=“importance” value=“1”>
<span class=“filters__checkbox-text”>Новости красной строкой</span>
</label>
</div>
<hr>
<div class=“filters__field” title=“Фильтры будут применены страницах компаний, тегов, разделов”>
<label class=“filters__checkbox”>
<input class=“filters__checkbox-input” style=“cursor: help;” type=“checkbox” name=“accept_anywhere” value=“1”>
<span class=“filters__checkbox-text” style=“cursor: help;”>Фильтровать на всех страницах</span>
</label>
</div>
<div class=“filters__field”>
<div class=“filters__btns”>
<button class=“filters__btn filters__btn–reset” type=“reset”>Сбросить</button>
<button class=“filters__btn filters__btn–submit” type=“submit”>Применить</button>
</div>
</div>
</div>
</div>
</div></div></div></div><div class=“simplebar-placeholder” style=“width: auto; height: 552px;”></div></div><div class=“simplebar-track simplebar-horizontal” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“width: 0px; display: none;”></div></div><div class=“simplebar-track simplebar-vertical” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“height: 0px; display: none;”></div></div></form>
</div>
</div>
</div>
</header>
<main class=“page _font-family _font-weight _font-size” data-fontscale=“” data-mobfontsize=“18” style=“font-family: Roboto; font-weight: normal; font-size: 23px; transition: all 0.25s linear 0s;”>
<div class=“page__inner” data-simplebar=“init”><div class=“simplebar-wrapper” style=“margin: 0px;”><div class=“simplebar-height-auto-observer-wrapper”><div class=“simplebar-height-auto-observer”></div></div><div class=“simplebar-mask”><div class=“simplebar-offset” style=“right: 0px; bottom: 0px;”><div class=“simplebar-content-wrapper” style=“height: 100%; overflow: hidden;”><div class=“simplebar-content” style=“padding: 0px;”>
<section class=“article”>
<article class=“article__content _font-size” data-mobfontsize=“16” style=“font-size: 23px; transition: all 0.25s linear 0s;”>
<h1 class=“article__title _font-family _font-size” data-fontscale=“1” data-mobfontsize=“16” style=“font-family: Roboto; font-size: 23px; transition: all 0.25s linear 0s;”>Объем инвестиций Россети Кубань по итогам 2023г составил 18,2 млрд руб
</h1>
<div class=“article__text _font-family _font-size” data-fontscale=“1” data-mobfontsize=“16” style=“font-family: Roboto; font-size: 23px; transition: all 0.25s linear 0s;”>
<p>Объем инвестиций “<a class=“dictionary_link” title=“акции Россети Кубань форум” href=“https://smart-lab.ru/forum/KUBE/” target=”_blank">Россети Кубань</a>" (входит в группу “<a class=“dictionary_link” title=“акции Россети форум” href=“https://smart-lab.ru/forum/RSTI/” target=”_blank">Россети</a>“) в 2023 году составил 18,2 млрд рублей, говорится в сообщении группы по итогам совещания с руководством компании, которое провел генеральный директор электросетевого холдинга Андрей Рюмин.<br>
<br>
В зоне ответственности «Россети Кубань» находятся <a class=“dictionary_link” href=“https://smart-lab.ru/bonds/Krasnodar-region/” target=”_blank">Краснодарский край</a>, Республика Адыгея и федеральная территория «Сириус». <br>
<br>
<a href=“https://smart-lab.ru/r.php?u=https%3A%2F%2Ftass.ru%2Fekonomika%2F20014191&s=2499538138” target=“_blank”>tass.ru/ekonomika/20014191</a></p> </div>
<div class=“article__info info-article”>
<div class=“info-article__box _font-family _font-size” data-fontscale=“0.8” data-mobfontsize=“16” data-minfontsize=“12” style=“font-family: Roboto; font-size: 18.4px; transition: all 0.25s linear 0s;”>
<div class=“info-article__edition edition-info”>
<button class=“edition-info__btn” title=“Версия для печати” aria-label=“распечатать страницу”>
<a target=“_blank” onclick=“print_page(‘https://smartlab.news/print/106523’); return false;”>
<svg>
<use xlink:href=“https://smartlab.news/images/symbol/sprite.svg#print”></use>
</svg>
</a>
</button>
<button class=“edition-info__btn” title=“Копировать ссылку на статью” aria-label=“копировать ссылку на статью”>
<a onclick=“copy_url(‘https://smartlab.news/i/106523’); return false;”>
<svg>
<use xlink:href=“https://smartlab.news/images/symbol/sprite.svg#copy”></use>
</svg>
</a>
</button>
<div class=“edition-info__date”>
<span class=“edition-info__date-title”>
Вчера
</span>
<span class=“edition-info__date-data”>
16:39
</span>
</div>
<div class=“edition-info__author”>
<span class=“edition-info__author-title”>
<a href=“https://smart-lab.ru/profile/Nordstream” class=“edition-info__author-name”>Nordstream</a>
</span>
</div>
</div>
<div class=“info-article__row”>
<div class=“info-article__title”>Страна</div>
<div class=“info-article__value”>
<a target=“_blank” href=“https://smartlab.news/country/Russia” class=“info-article__link”>
Россия
</a>
</div>
</div>
<div class=“info-article__row”>
<div class=“info-article__title”>Инструменты</div>
<div class=“info-article__value”>
<a target=“_blank” href=“https://smartlab.news/company/KUBE” class=“info-article__link”>Россети Кубань</a>
</div>
</div>
<div class=“info-article__row”>
<div class=“info-article__title”>Теги</div>
<div class=“info-article__value”>
<a href=“https://smartlab.news/tag/акции” class=“info-article__link”>
акции
</a>
<a href=“https://smartlab.news/tag/инвестиции” class=“info-article__link”>
инвестиции
</a>
<a href=“https://smartlab.news/tag/россети” class=“info-article__link”>
россети
</a>
<a href=“https://smartlab.news/tag/Россети кубань” class=“info-article__link”>
Россети кубань
</a>
</div>
</div>
<div class=“info-article__row”>
<div class=“info-article__title”>Тип</div>
<div class=“info-article__value”>
<a target=“_blank” href=“https://smartlab.news/type/news” class=“info-article__link”>
Новость
</a>
</div>
</div>
<div class=“info-article__row”>
<div class=“info-article__title”>Раздел</div>
<div class=“info-article__value”>
<a href=“https://smartlab.news/section/forum” class=“info-article__link”>
Акции
</a>
</div>
</div>
<div class=“info-article__row”>
<div class=“info-article__value”>
<a class=“info-article__comment” href=“https://smart-lab.ru/blog/988799.php#comments” target=“_blank”>Комментировать
на смартлабе</a>
</div>
</div>
<div class=“info-article__row”>
<div class=“info-article__value”>
<a class=“info-article__comment” href=“https://smartlab.news/q/106523” target=“_blank”>Обсудить
на форуме</a>
</div>
</div>
</div>
</div>
</article>
<div class=“article__banner banner” data-da=“.article__text,991.98,last”>
<div class=“banner__content _font-family _font-size” data-fontscale=“1.9” data-mobfontsize=“15” style=“font-family: Roboto; font-size: 43.7px; transition: all 0.25s linear 0s;”>
<div class=“banner__content-text”></div>
</div>
</div>
</section>
<!–
0.00946998596191
2.50339508057E-5
2.59876251221E-5
0.000280857086182
//–>
</div></div></div></div><div class=“simplebar-placeholder” style=“width: auto; height: 1243px;”></div></div><div class=“simplebar-track simplebar-horizontal” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“width: 0px; display: none;”></div></div><div class=“simplebar-track simplebar-vertical” style=“visibility: hidden;”><div class=“simplebar-scrollbar” style=“height: 0px; display: none;”></div></div></div>
</main>
<footer class=“footer”>
<div class=“footer__container”>
<div class=“footer__content”>
<div class=“footer__item footer__item_h1”>
<h1 class=“footer__h1”>Биржевые новости. Новости рынка акций</h1>
</div>
<div class=“footer__item”><a href=“https://smartlab.news/info” class=“footer__link”>Информация</a></div>
<div class=“footer__item”>
<!–LiveInternet counter–><a href=“https://www.liveinternet.ru/click” rel=“noreferrer” target=“_blank”><img id=“licnt3EDC” width=“88” height=“15” style=“border:0” title=“LiveInternet: показано число посетителей за сегодня” src=“https://counter.yadro.ru/hit?t25.5;rhttps%3A//smartlab.news/;s2048115224;uhttps%3A//smartlab.news/read/106523-obem-investicii-rosseti-kuban-po-itogam-2023g-sostavil-182-mlrd-rub;h%u041E%u0431%u044A%u0435%u043C%20%u0438%u043D%u0432%u0435%u0441%u0442%u0438%u0446%u0438%u0439%20%u0420%u043E%u0441%u0441%u0435%u0442%u0438%20%u041A%u0443%u0431%u0430%u043D%u044C%20%u043F%u043E%20%u0438%u0442%u043E%u0433%u0430%u043C%202023%u0433%20%u0441%u043E%u0441%u0442%u0430%u0432%u0438…%20%7C%20smartlab.news;0.21942426595176934” alt=“LiveInternet счетчик посетителей за сегодня”></a><script async=“” src=“https://mc.yandex.ru/metrika/tag.js”></script><script async=“” defer=“” src=“https://content.mql5.com/core.js"></script><script>(function(d,s){d.getElementById(“licnt3EDC”).src=“https://counter.yadro.ru/hit?t25.5;r”+escape(d.referrer)+((typeof(s)==“undefined”)?“”:“;s”+s.width+"“+s.height+””+(s.colorDepth?s.colorDepth:s.pixelDepth))+“;u”+escape(d.URL)+ “;h”+escape(d.title.substring(0,150))+“;”+Math.random()})(document,screen)</script><!–/LiveInternet–>
</div>
</div>
</div>
</footer>
</div>
<script src=“/js/vendors.min.js?id=6cc931b74c848d25b05e”></script>
<script src=“/js/design.min.js?id=29430d50b4763e2dcd38”></script>
<script src=“/livewire/livewire.js?id=83b555bb3e243bc25f35” data-turbo-eval=“false” data-turbolinks-eval=“false”></script><script data-turbo-eval=“false” data-turbolinks-eval=“false”>window.livewire = new Livewire();window.Livewire = window.livewire;window.livewire_app_url = ‘’;window.livewire_token = ‘LNY1IzDzxtCks2gKOi8xV28nghhA6Brg3DbOIwUe’;window.deferLoadingAlpine = function (callback) {window.addEventListener(‘livewire:load’, function () {callback();});};let started = false;window.addEventListener(‘alpine:initializing’, function () {if (! started) {window.livewire.start();started = true;}});document.addEventListener(“DOMContentLoaded”, function () {if (! started) {window.livewire.start();started = true;}});</script>
<!-- Finteza counter --><script defer=“” type=“text/javascript”>!function(e,n,t,f,o,r){e.fz||(e.FintezaCoreObject=f,e.fz=e.fz||function(){(e.fz.q=e.fz.q||[]).push(arguments)},e.fz.l=+new Date,o=n.createElement(t),r=n.getElementsByTagName(t)[0],o.async=!0,o.defer=!0,o.src=“https://content.mql5.com/core.js",r&&r.parentNode&&r.parentNode.insertBefore(o,r))}(window,document,“script”,“fz”),fz(“register”,“website”,"onhrvpkhmfzwbaxlyhojyqynvnnnekcaty”);</script><!-- /Finteza counter -->
<!-- Yandex.Metrika counter --><script defer=“” type=“text/javascript”>!function(e,t,a,n,c){e.ym=e.ym||function(){(e.ym.a=e.ym.a||[]).push(arguments)},e.ym.l=+new Date,n=t.createElement(a),c=t.getElementsByTagName(a)[0],n.async=1,n.src=“https://mc.yandex.ru/metrika/tag.js",c.parentNode.insertBefore(n,c)}(window,document,“script”),ym(74032771,"init”,{clickmap:!0,trackLinks:!0,accurateTrackBounce:!0,webvisor:!0});</script><noscript><div><img src=“https://mc.yandex.ru/watch/74032771” style=“position:absolute; left:-9999px;” alt=“” /></div></noscript><!-- /Yandex.Metrika counter -->
<script src=“/js/app.js?id=26e5fa66ce89b62ff180”></script>
<script>
let clickOnFavoriteButton = function(target){
if(target.classList.contains(‘_active’)){
target.classList.remove(‘_active’);
}
else{
target.classList.add(‘_active’)
}
}
</script>
<script>
navigator.permissions.query({
name: “clipboard-write”
}).then(result => {
if (result.state === “granted” || result.state === “prompt”) {
/* write to the clipboard now */
console.log(‘Navigator permission “clipboard-write” has access’);
} else {
console.warn(‘Navigator has no access to “clipboard-write” permission’);
}
return false;
});
function copy_url(url) {
if (navigator.clipboard) {
navigator.clipboard.writeText(url).then(function() {
console.log('Ссылка скопирована в буфер обмена (navigator) ', url);
}, function() {
console.error(‘Ошибка копирования ссылки в буфер обмена’);
});
} else {
let aux = document.createElement(“input”);
aux.setAttribute(“value”, url);
document.body.appendChild(aux);
aux.select();
document.execCommand(“copy”);
document.body.removeChild(aux);
console.log('Ссылка скопирована в буфер обмена ', url);
}
}
function print_page(url) {
let print_page = window.open(url, ‘Печать страницы’, ‘height=600,width=950’);
if (window.focus) {
print_page.focus()
}
return false;
}
</script>
</body>
exctract the "Объем инвестиций Россети Кубань по итогам 2023г составил 18,2 млрд руб
Объем инвестиций “Россети Кубань” (входит в группу “Россети”) в 2023 году составил 18,2 млрд рублей, говорится в сообщении группы по итогам совещания с руководством компании, которое провел генеральный директор электросетевого холдинга Андрей Рюмин.
В зоне ответственности «Россети Кубань» находятся Краснодарский край, Республика Адыгея и федеральная территория «Сириус». “
saving all '\n”. use soup in python
|
af344b37612b31171250af5b5700b39a
|
{
"intermediate": 0.246253103017807,
"beginner": 0.5860652327537537,
"expert": 0.16768164932727814
}
|
39,635
|
how to remove pygame init log
|
82a8b636e9686bd40ad0113b85d919d7
|
{
"intermediate": 0.36451324820518494,
"beginner": 0.41126134991645813,
"expert": 0.22422538697719574
}
|
39,636
|
import requests
# الجولة التي نريد جلب بيانات اللاعبين لها
event_id = 24
# الحصول على بيانات كافة اللاعبين والفرق لاستخراج الأسماء
bootstrap_url = "https://fantasy.premierleague.com/api/bootstrap-static/"
bootstrap_data = requests.get(bootstrap_url).json()
players_dict = {player['id']: player for player in bootstrap_data["elements"]}
teams_dict = {team['id']: team['name'] for team in bootstrap_data["teams"]}
# الحصول على بيانات اللاعبين المباشرة للجولة 24
event_url = f"https://fantasy.premierleague.com/api/event/{event_id}/live/"
event_data = requests.get(event_url).json()
# طلب بيانات المباريات للجولة المعينة
fixtures_url = f"https://fantasy.premierleague.com/api/fixtures/?event={event_id}"
fixtures_data = requests.get(fixtures_url).json()
# عرض نتائج الجولة 24
print(f"Results for Gameweek {event_id}:\n")
for fixture in fixtures_data:
# ترجمة أرقام الفرق إلى أسمائها
team_h = teams_dict.get(fixture['team_h'], "Unknown")
team_a = teams_dict.get(fixture['team_a'], "Unknown")
team_h_score = fixture['team_h_score']
team_a_score = fixture['team_a_score']
print(f"Fixture: {team_h} vs {team_a} - Score: {team_h_score}-{team_a_score}")
# استخراج بيانات اللاعبين
for player in event_data["elements"]:
player_id = player["id"]
player_stats = player["stats"]
player_explains = player.get('explain', [])
# إذا كان اللاعب قد سجل أهدافًا، قدم تمريرات حاسمة (أسيست)، أو حصل على بونص في هذه المباراة
if any(explain["fixture"] == fixture['id'] for explain in player_explains):
if player_stats["goals_scored"] > 0 or player_stats["assists"] > 0 or player_stats["bonus"] > 0:
# الحصول على اسم اللاعب
player_name = players_dict.get(player_id, {}).get("web_name", "Unknown")
print(f"Player: {player_name}, Goals: {player_stats['goals_scored']}, "
f"Assists: {player_stats['assists']}, Bonus: {player_stats['bonus']}")
عدل على هذه الشيفرة حيث تطبع النتائج النهائية بهذا الشكل
GOAL! Man City 1-1 Chelsea (84")
⚽️: Rodri [6 pts]
🅰 : Wanker [5 pts]
#FPL #GW2 #
|
a5a4e6ab1e3b87d4c2d9d7f83823c649
|
{
"intermediate": 0.2644830644130707,
"beginner": 0.5635219812393188,
"expert": 0.17199493944644928
}
|
39,637
|
extract text of the article including all '\n' using soup with python
<article class="article__content _font-size" data-mobfontsize="16" style="font-size: 23px; transition: all 0.25s linear 0s;">
<h1 class="article__title _font-family _font-size" data-fontscale="1" data-mobfontsize="16" style="font-family: Roboto; font-size: 23px; transition: all 0.25s linear 0s;">🔶IR Газпром: Газпрому — 31 год!
</h1>
<div class="article__text _font-family _font-size" data-fontscale="1" data-mobfontsize="16" style="font-family: Roboto; font-size: 23px; transition: all 0.25s linear 0s;">
<p>Релиз<br><br>Акционерному обществу «Газпром» сегодня исполнился 31 год.<br><br>В торжественном мероприятии на выставке «Россия» на ВДНХ принял участие Алексей Миллер. В зале присутствовали руководители и сотрудники «Газпрома» и дочерних обществ, ветераны газовой отрасли, студенты и бойцы Российских студенческих отрядов.<br><br>С поздравлением в адрес коллектива «Газпрома» обратился Президент России Владимир Путин.<br><br><br><br>Вы можете прямо сейчас
согласиться на хранение cookies, либо сделать это позже в настройках.<br><br>Алексей Миллер: Дорогие друзья! Добрый день!<br><br>17 февраля, 31 год тому назад, в 1993 году, было создано акционерное общество «Газпром». Нашей компании было поручено обеспечивать надежную работу и поступательное развитие Единой системы газоснабжения Российской Федерации. И «Газпром» с этой ответственной миссией надежно справляется. Мы бесперебойно поставляем газ промышленным потребителям, населению нашей огромной и великой страны.<br><br>«Газпром» является гарантом энергетической безопасности и обеспечивает рост технологического суверенитета России. <br><br>И в сегодняшний праздничный день нас поздравляет Президент Российской Федерации Владимир Владимирович Путин.<br><br>Владимир Путин: Дорогие друзья!<br><br>Сегодня одному из флагманов российской экономики — компании «Газпром» — исполняется 31 год.<br><br>Рад возможности поздравить ветеранов отечественной газовой промышленности и, конечно, руководителей и весь большой, полумиллионный коллектив «Газпрома»: рабочих и инженеров — мастеров своего дела, специалистов самых разных профессий, которые трудятся на Урале и в Поволжье, в Сибири и на Дальнем Востоке, в сложнейших условиях Арктики, практически во всех регионах России.<br><br>Именно вместе, как сплочённая команда, вы добиваетесь действительно высоких показателей, работаете в интересах развития страны, обеспечения её энергетической безопасности.<br><br>Создание «Газпрома» позволило сохранить единство отечественного газопромышленного комплекса. И за прошедшие годы мы не раз убеждались в обоснованности и выверенности принятого тогда решения.<br><br>Сегодня «Газпром» ставит перед собой самые амбициозные цели, несмотря на все внешние вызовы, осваивает перспективные глобальные рынки, подтверждает репутацию надёжного поставщика, позиции одного из мировых лидеров газовой отрасли, открывает новые центры газодобычи и высокотехнологичные производства по глубокой переработке сырья.<br><br>И конечно, особо отмечу большую работу «Газпрома» по газификации российских регионов, по переводу на экологичное, эффективное топливо жилых домов, промышленных предприятий и социальных объектов. Темпы, масштабы таких программ нам вместе предстоит наращивать.<br><br>Исключительно важен и вклад «Газпрома» в укрепление технологического суверенитета России. На это нацелены партнёрские проекты компании с научными коллективами, с предприятиями в энергетическом машиностроении, металлургии, строительстве, многих других отраслях.<br><br>Добавлю, что «Газпром» всегда работает «в долгую», на стратегическую перспективу, с пониманием государственных интересов. Пример тому — участие компании в обновлении, обустройстве северных, арктических городов и посёлков, строительство уникальных мостов и железнодорожной линии на полуострове Ямал, инвестиции в модернизацию участков Северного широтного хода.<br><br>И уже стало доброй традицией то, что «Газпром» активно, последовательно реализует социально значимые проекты. Они направлены на сбережение исторического наследия России, на поддержку образования, культуры и наших молодых талантов. Только в рамках программы «Газпром — детям» по всей стране построено более двух тысяч спортивных площадок и физкультурно-оздоровительных комплексов.<br><br>Дорогие друзья!<br><br>Уверен, что коллектив «Газпрома» и впредь будет чётко и в срок воплощать в жизнь все стратегические планы развития.<br><br>Желаю вам успехов, новых достижений на благо России и нашего народа.<br><br>Алексей Миллер: Дорогие друзья!<br><br>Каждый год работы «Газпрома» отмечен уникальными проектами и рекордными показателями.<br><br>Ведь «Газпром» — один из лидеров мирового энергетического рынка. Является мировым лидером по объемам запасов природного газа, мировым лидером по объемам добычи и поставки газа потребителям. <br><br>Природный газ — это уникальный энергоресурс, который обеспечивает динамичное развитие нашей экономики. И огромный потенциал «Газпрома» позволяет еще много-много столетий в будущем служить на благо России.<br><br>И с этой целью мы в самые кратчайшие сроки создали новые центры газодобычи: на Ямале, в Арктике — а в Арктике России равных нет, — в Восточной Сибири, на Дальнем Востоке. Мы построили самые современные магистральные газопроводы в мире и продолжаем строить. Мы существенно повысили технологичность нефтяной отрасли. Внесли значительный вклад в модернизацию отечественной энергетики. А по поручению Президента Российской Федерации Владимира Владимировича Путина реализуем масштабную программу газоснабжения и газификации регионов страны. <br><br>«Газпром» строит мощные перерабатывающие заводы. Обеспечивает заказами промышленность и науку. И реализует амбициозный проект соединения газовой инфраструктуры на Западе страны с газовой инфраструктурой на Востоке страны.<br><br>В течение 31 года «Газпром» неизменно демонстрирует свою надежность. И эта надежность предопределена связью поколений. Старшие поколения передают свой уникальный опыт и уникальные знания, а молодые поколения работников их приумножают. На мощном фундаменте появляются новые подходы, повышается эффективность, создаются новые технологии. И я хочу отметить, что эта работа ведется беспрерывно. <br><br>Ведется она благодаря тесному взаимодействию с нашими профильными высшими учебными заведениями. «Газпром» на 10 лет вперед точно знает, какие специалисты и где им будут востребованы. И этих специалистов мы готовим уже сегодня. Мы хотим, чтобы нынешнее поколение студентов внесло свой вклад в развитие энергетики Российской Федерации.<br><br>Коллектив «Газпрома» — это не только полмиллиона сотрудников. Коллектив «Газпрома» — это единая, слаженная, надежная, профессиональная команда. Команда, которая работает с полной самоотдачей. Потому что знает, что трудится на благо нашего Отечества.<br><br>«Газпром» всегда на вахте. И в этот праздничный день мы предоставляем слова тем, кто своим самоотверженным трудом обеспечивает для наших россиян — какая бы ни была погода — в их домах всегда свет, тепло и газ.<br><br>Спасибо!<br><br>Видеофильм.<br><br>Алексей Миллер: Дорогие друзья!<br><br>Еще раз всех поздравляю с праздником! С днем рождения «Газпрома»! Хочу пожелать вам новых трудовых успехов, новых достижений, новых рекордов!<br><br>И как всегда, по традиции, в заключение мы с вами в «Газпроме» говорим — «и продолжим работу!».<br><br> <br><br>Управление информации ПАО «Газпром»<br><br><br><br><a href="https://www.gazprom.ru/press/news/2024/february/article572333/">https://www.gazprom.ru/press/news/2024/february/article572333/</a></p> </div>
<div class="article__info info-article">
<div class="info-article__box _font-family _font-size" data-fontscale="0.8" data-mobfontsize="16" data-minfontsize="12" style="font-family: Roboto; font-size: 18.4px; transition: all 0.25s linear 0s;">
<div class="info-article__edition edition-info">
<button class="edition-info__btn" title="Версия для печати" aria-label="распечатать страницу">
<a target="_blank" onclick="print_page('https://smartlab.news/print/106525'); return false;">
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#print"></use>
</svg>
</a>
</button>
<button class="edition-info__btn" title="Копировать ссылку на статью" aria-label="копировать ссылку на статью">
<a onclick="copy_url('https://smartlab.news/i/106525'); return false;">
<svg>
<use xlink:href="https://smartlab.news/images/symbol/sprite.svg#copy"></use>
</svg>
</a>
</button>
<div class="edition-info__date">
<span class="edition-info__date-title">
Вчера
</span>
<span class="edition-info__date-data">
18:43
</span>
</div>
<div class="edition-info__author">
<span class="edition-info__author-title">
<a href="https://smart-lab.ru/profile/disclosure" class="edition-info__author-name">Раскрывальщик</a>
</span>
</div>
</div>
<div class="info-article__row">
<div class="info-article__title">Страна</div>
<div class="info-article__value">
<a target="_blank" href="https://smartlab.news/country/Russia" class="info-article__link">
Россия
</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__title">Инструменты</div>
<div class="info-article__value">
<a target="_blank" href="https://smartlab.news/company/GAZP" class="info-article__link">Газпром</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__title">Теги</div>
<div class="info-article__value">
<a href="https://smartlab.news/tag/%D0%93%D0%B0%D0%B7%D0%BF%D1%80%D0%BE%D0%BC" class="info-article__link">
Газпром
</a>
<a href="https://smartlab.news/tag/%D0%BF%D1%80%D0%B5%D1%81%D1%81%20%D1%80%D0%B5%D0%BB%D0%B8%D0%B7" class="info-article__link">
пресс релиз
</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__title">Тип</div>
<div class="info-article__value">
<a target="_blank" href="https://smartlab.news/type/press-releases" class="info-article__link">
Пресс релизы
</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__title">Раздел</div>
<div class="info-article__value">
<a href="https://smartlab.news/section/forum" class="info-article__link">
Акции
</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__value">
<a class="info-article__comment" href="https://smart-lab.ru/blog/988808.php#comments" target="_blank">Комментировать
на смартлабе</a>
</div>
</div>
<div class="info-article__row">
<div class="info-article__value">
<a class="info-article__comment" href="https://smartlab.news/q/106525" target="_blank">Обсудить
на форуме</a>
</div>
</div>
</div>
</div>
</article>
|
70da5b4382d3cf51b53d4ba301243450
|
{
"intermediate": 0.30441200733184814,
"beginner": 0.5010147094726562,
"expert": 0.194573312997818
}
|
39,638
|
how to mp3 python
|
abd82a99caa9b60dd05d8c4b19f838d2
|
{
"intermediate": 0.2588788568973541,
"beginner": 0.4432556927204132,
"expert": 0.29786548018455505
}
|
39,639
|
if 2 or more "\n" in a row, then leave just one "\n". use python
|
7cd6826f7ac283f386b3b7810331aab0
|
{
"intermediate": 0.33231320977211,
"beginner": 0.39759448170661926,
"expert": 0.27009233832359314
}
|
39,640
|
python threading
|
06e8e7f0b76873b60f0964b755c4e345
|
{
"intermediate": 0.2729804515838623,
"beginner": 0.23826782405376434,
"expert": 0.48875170946121216
}
|
39,641
|
Choose one hydrograph event from 2014 and calibrate the model.
a. Provide a graphical comparison of measured vs simulated flows for the event.
b. Provide goodness of fit measures (NSE, PBIAS, RSR) for the calibrated model and a brief
discussion of the model fit
|
b6d66cc3e869cece1a11510bd22d1063
|
{
"intermediate": 0.3329343795776367,
"beginner": 0.33830347657203674,
"expert": 0.32876214385032654
}
|
39,642
|
create an image with provided large text using python.
|
7124d9abcc25d3c5dec9a1045f1d1d1d
|
{
"intermediate": 0.39261186122894287,
"beginner": 0.3032773435115814,
"expert": 0.3041107654571533
}
|
39,643
|
你好
|
56609cd9142d54bc5e342a887b48a592
|
{
"intermediate": 0.34920287132263184,
"beginner": 0.32567402720451355,
"expert": 0.3251230716705322
}
|
39,644
|
function [Spec,Freq,t] = Chirplet_Transform(Sig,fLevel,WinLen,SampFreq,alpha)
% This function is used to calculate the Chirplet transform of the signal.
% --------------------INPUT------------------%
% Sig £ºOne-dimensional signal sequence to be analyzed
% fLevel £ºfrequency axis points associated with the Spec(in Bins)
% WinLen £ºGauss window width(in Bins)
% SampFreq£ºSignal sampling frequency(in Hz)
% alpha £ºChirplet’s line frequency modulation rate(in Hz/s)
% --------------------OUTPUT------------------%
% Spec £º2D spectrum results (horizontal time axis, vertical frequency axis)
% Freq £ºvertical frequency axis(in Hz)
% t £ºhorizontal time axis(in Sec)
%--------------------------------------------------------%
% written by Guowei Tu, 28/07/2019 in SME,SJTU (Contact me via <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>)
%--------------------------------------------------------%
% the Original Chirplet Transform Algorithm is introduced in [1];
% while the codes here is motivated by [2], which provides a new insight to the Chirplet Transform.
%--------------------------------------------------------%
% [1].Steve Mann, Simon Haykin, The Chirplet Transform: Physical Considerations,
% IEEE TRANSACTIONS ON SIGNAL PROCESSING,VOL. 43, NO. 11, NOVEMBER 1995
% [2].Peng Z.K , Meng G., Lang Z.Q.,Chu F.L, Zhang W.M., Yang Y., Polynomial Chirplet Transform with Application to Instantaneous Frequency Estimation,
% IEEE Transactions on Measurement and Instrumentation 60(2011) 3222-3229
if (nargin < 1)
error(‘At least one parameter required!’);
end
if (nargin < 4) % SampFreq default 1000Hz
SampFreq = 1000;
end
if (nargin < 3) % WinLen default 64 points
WinLen = 64;
end
if (nargin < 2) % fLevel defaults to 512 points
fLevel = 512;
end
%% data preparation
SigLen = length(Sig); % Signal length
t = (0:1:SigLen-1)(1/SampFreq); % time axis associated with the Signal
Sig = hilbert(Sig); % Calculate the analytical signal
%% Frequency axis and its half-axis points
fLevel = ceil(fLevel/2) * 2+1; % Round the frequency axis length value fLevel in +¡Þ direction to the nearest odd number
Lf = (fLevel - 1)/2; % Half frequency axis data points (fLevel has been rounded to an odd number)
%% Generate Gauss window functions
WinLen = ceil(WinLen/2) * 2+1; % Round the window length value WinLen to the +¡Þ direction to the nearest odd number
WinFun = exp(-6 linspace(-1,1,WinLen).^2); % Gauss window function, fixed time width [-1, 1], divided into WinLen modulation data points
Lw = (WinLen - 1)/2; % Half window data points
%% CT spectrum result array (initialized to 0)
Spec = zeros(fLevel,SigLen);
%% Sliding window signal,data segmentation preparation
for iLoop = 1:SigLen
% Determine the upper and lower limits of the left and right signal index subscripts (note that to prevent the edge width from exceeding the time domain, the retrieval error!)
iLeft = min([iLoop-1, Lw, Lf]);
iRight = min([SigLen-iLoop, Lw, Lf]);
iIndex = -iLeft:iRight;
iIndex1 = iIndex + iLoop; % subscript index of the original signal
iIndex2 = iIndex + Lw + 1; % subscript index of window function vector
Index = iIndex + Lf +1; % Subscript index of the frequency axis (row number) in the Spec two-dimensional array
R_Operator = exp(-1i * 2pialpha * t(iIndex1).^2 / 2); % Frequency rotation operator (Shear Frequency)
S_Operator = exp(1i * 2pialpha * t(iLoop) * t(iIndex1)); % Frequency shift operator (Shift Frequency)
Sig_Section = Sig(iIndex1).R_Operator.S_Operator; % Signal segment after frequency rotation and frequency shift
Spec(Index, iLoop) = Sig_Section. conj(WinFun(iIndex2)); % fill the two-dimensional array
end
%% STFT
Spec = fft(Spec); % STFT
Spec = Spec2/fLevel; % restores the true magnitude of FT
Spec = Spec(1:(end-1)/2,:); % till the Nyquist frequency
fk = 0:1:fLevel-1;
fk = fk(1:(end-1)/2);
Freq = linspace(0,0.5*SampFreq,length(fk)); % Output frequency axis for plotting
end
根据上面程序帮我写个函数在已知fLevel,WinLen,SampFreq,alpha,Spec,Freq,t这些变量的情况下求Sig
|
1b24d05c12bf66161f230435e3fcdce0
|
{
"intermediate": 0.3603131175041199,
"beginner": 0.4195546507835388,
"expert": 0.2201322615146637
}
|
39,645
|
check size of image python
|
5f23b8dc7c557287de7f06426d8706a7
|
{
"intermediate": 0.3467250168323517,
"beginner": 0.2791154980659485,
"expert": 0.37415948510169983
}
|
39,646
|
Help me build html and css template fullpage
|
fdf52377c7ba2b0e75ef90dffe5e6238
|
{
"intermediate": 0.3979001045227051,
"beginner": 0.3100990355014801,
"expert": 0.2920008599758148
}
|
39,647
|
I want to save my chat with a friend on a website, but the site doesn't have a "Export Chat History" option. How can I do that then?
|
08289fe2947cc46bf0671ebe89946f34
|
{
"intermediate": 0.42159658670425415,
"beginner": 0.2124435007572174,
"expert": 0.3659600019454956
}
|
39,648
|
How do i set pointOfView({ lat, lng, altitude }, [ms]) Getter/setter for the camera position, in terms of geographical lat, lng, altitude coordinates. Each of the coordinates is optional, allowing for motion in just some direction. The 2nd optional argument defines the duration of the transition (in ms) to animate the camera motion. A value of 0 (default) moves the camera immediately to the final position. to Kenya on the Globe component parameter
|
47dc6e64686e56fd77cea0386caaff0a
|
{
"intermediate": 0.47625961899757385,
"beginner": 0.2371334582567215,
"expert": 0.28660693764686584
}
|
39,649
|
What is the difference between the sort -u and uniq shell commands?
|
e193dce4fe99d598df7a69554adae3da
|
{
"intermediate": 0.35828468203544617,
"beginner": 0.33095207810401917,
"expert": 0.31076323986053467
}
|
39,650
|
Write GUI program on Python with fixed window size. There is two text fields, one input field, one checkbox and three buttons. Buttons have events on click
|
68c158d2c69e6ffdcb4c7dc2554e2700
|
{
"intermediate": 0.4205184280872345,
"beginner": 0.1519593596458435,
"expert": 0.4275221824645996
}
|
39,651
|
Rewrite this program to hide it in system tray when window minimize button clicked. Tray icon menu when right clicked: show, action1, action2, close. Default action on left click is "show".
Program not hidden by default
import tkinter as tk
from tkinter import messagebox
def button1_clicked():
messagebox.showinfo(“Button 1”, “Button 1 was clicked!”)
def button2_clicked():
messagebox.showinfo(“Button 2”, “Button 2 was clicked!”)
def button3_clicked():
value = entry_field.get()
is_checked = checkbox_var.get()
messagebox.showinfo(“Button 3”,
f"Entry Value: {value}\nCheckbox is {‘checked’ if is_checked else ‘not checked’}")
# Create the main window
window = tk.Tk()
window.title(“Fixed Size Window App”)
window.geometry(“300x200”) # Fixed window size 300x200 pixels
# Create a frame for the input field and Button 1
input_frame = tk.Frame(window)
input_frame.pack(pady=10)
# Create labels
label1 = tk.Label(window, text=“Label 1”)
label1.pack()
label2 = tk.Label(window, text=“Label 2”)
label2.pack()
# Create an entry field
entry_field = tk.Entry(input_frame)
entry_field.grid(row=0, column=0, padx=5)
# Create Button 1 and place it in line with the input field
button1 = tk.Button(input_frame, text=“Button 1”, command=button1_clicked)
button1.grid(row=0, column=1)
# Create a checkbox
checkbox_var = tk.BooleanVar()
checkbox = tk.Checkbutton(window, text=“Check me”, variable=checkbox_var)
checkbox.pack()
# Create Button 2 and Button 3
button2 = tk.Button(window, text=“Button 2”, command=button2_clicked)
button2.pack(pady=5)
button3 = tk.Button(window, text=“Button 3”, command=button3_clicked)
button3.pack(pady=5)
# Disable resizing the window
window.resizable(False, False)
# Start the GUI loop
window.mainloop()
|
539fbf14e1c0f62c29b86baea08f78f7
|
{
"intermediate": 0.40602079033851624,
"beginner": 0.36932551860809326,
"expert": 0.22465375065803528
}
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.