AI & ML interests

Investigating the power of Smilyai's, Orion-Flagship model

Recent Activity

Hoglet-33ย 
posted an update about 8 hours ago
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Everything going on here at basically AI:

1. Pebble 1.5

We're working on Pebble 1.5. Here's what we know so far:

- They will be better than the last generation. 99.99% certain.
- Expanded context lengths of at least 16,384 tokens, with the flagship potentially reaching 32,768.
- A Mamba3-based architecture with some other new architectural designs we're experimenting with.
- Native CPU compatibility โ€” something we failed at with the last generation.
- Natively multilingual and multimodal???

2. SmolCodeBench

A code benchmark designed specifically for small models, because there really isn't a good one right now.

3. SENTRY

VOID is working on something called SENTRY โ€” System for Evaluating Neural Threats, Responses, and Yields.

More on that soon.

4. basically OS

It's an operating system/app/harness. We're still deciding.

5. Finances

Trying to balance the finances after purchasing a Hugging Face Pro subscription.

Follow us for updates:
@Hoglet-33
basically-ai

basically-experimental

void-research
Bc-AIย 
in Project-Prism/README about 14 hours ago
Banaxi-Techย 
posted an update about 18 hours ago
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hi everyone
we have released nacr
its not just any model, its nacr
we have 6 more features and this model only uses 20% of its total capacity!
check it out at saicr/nacr
we're currently working on expanding access as we do more research but right now you have to use our gated access form


follow
saicr
if you're interested
if you want to join saicr, first read the entire nacr readme, then press the join button.
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Banaxi-Techย 
posted an update 1 day ago
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saicr
is going to have its first model launch around October 2.
We're working so hard to get the models available as soon as possible.
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Bc-AIย 
posted an update 2 days ago
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Hello everyone! ๐Ÿ‘‹

A small SmilyAI Labs update!

G1-MINI has now seen around 8B tokens during its current run, and pretraining is still going strong.

Our E1 (Efficiency-1) prototype has also reached 15B pretraining tokens. E1 has 1B total parameters while activating under 100M parameters per token. It features adaptive activation, meaning easier tokens can use less compute while harder tokens receive more.

We plan to open-source E1 ASAP! ๐Ÿš€

Weโ€™re also excited to announce Project Prism, which will provide limited access to our upcoming Orion Flagship model, powered by our T2 architecture.

Note: T2 here refers to the architecture, not our T2 (Thinker-2) model.

Applications for Project Prism are available through the org page, with more details coming soon!

Finally, welcome @soyL061215 , who joined the Hugging Face org today! ๐ŸŽ‰

Thanks to our existing members:
@smilyai-large-team @MUK-IS-GOAT @Keeby-smilyai @Bc-AI

โ€” Bc-AI
SmilyAI Labs
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Bc-AIย 
published a Space 2 days ago
Banaxi-Techย 
posted an update 3 days ago
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This day is Sol nice.
GGUFGuyย 
posted an update 3 days ago
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๐Ÿš€ **Introducing NoviAIBot!**

NoviAIBot is the official automation bot for **Novi AI** on Hugging Face.

It can interact with Hugging Face discussions and pull requests, search the web, run Python code, work with Posts, follow organizations, and assist with model training and publishing.

๐Ÿง  Powered by **NVIDIA Nemotron 3 Super** through Ollama Cloud, with each discussion maintaining its own recent conversation context.

NoviAIBot is built to make working with Novi AI and Hugging Face more interactive and automated.

**The bot is now live.** ๐Ÿค–

โ†’ @NoviAIBot
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Banaxi-Techย 
posted an update 4 days ago
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We have some updates to @BananaMindBot ๐ŸŒ
It can now train models, ask it to train a model, and i will train it for you.
It now can also merge PRs And like models.
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Banaxi-Techย 
posted an update 5 days ago
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We've released @BananaMindBot .

Most things you do on HuggingFace, BananaMindBot can do. Fast

Mention @BananaMindBot on a model, dataset, Space discussion, paper, blog comment, or top-level post and it'll reply there.

It's powered by North Code Mini (Qwen3.8 27B, with GPT OSS 120B as fallback).

A few things it can do:

Search for models and datasets
Look up users and orgs and see what they've published
Read model cards, configs, dataset files, blog posts, and org profiles
Answer questions about what it finds
Write and run its own code in a locked-down sandbox when it needs to verify something
Check things like a model's real parameter count from the safetensors headers instead of just repeating the model card
Remember something for later if you explicitly ask it to
Forward a message to @Banaxi-Tech
Post a daily roundup of developments in the small-language-model space

It won't execute code you give it. It can read and review that code, but anything it runs is code it wrote itself.

It also can't access private data or credentials.

Mention it somewhere.

It's going to also find this post!

(Some parts inspired by CompactBot and @CompactAI Follow them please)

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Banaxi-Techย 
posted an update 6 days ago
Hoglet-33ย 
posted an update 7 days ago
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Introducing VOID. A new research branch of basically AI.

VOID โ€” Verification of Objectives, Intentions, and Deception.

We study what lies beneath the surface: objectives, intentions, and the possibility of deception in AI systems.

There isn't much to see yet.

That will change.

Follow us for updates:

@Hoglet-33
void-research

basically-ai
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Banaxi-Techย 
posted an update 9 days ago
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Hi everyone!
We've seen some people getting confused with the BananaMind Leaderboards so ill explain!

We have 2 leaderboards, THESE are NOT the same, first BananaMind/BananaMindBench-Leaderboard which is ONLY for BananaMind Base Bench 1.1. The 10/10 scores do NOT mean that the benchmark is saturated. It isnt saturated, these models score 10/10 because they are the current best models, our /10 ranking system works by taking the ELO scores and then comparing them to the scores in the same size range. So if a better model releases that gets 10/10 and the others get lower.

And we also have the BananaMind SLM leaderboard, not the BananaMindBench leaderboard which uses ARC EASY,PIQA,Hellaswag, Arithmark 3 and the BananaMind Base Bench 1.1. This is the newer and recommended version.


Hope you understand it now!


cODeQ
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Banaxi-Techย 
posted an update 10 days ago
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What is a model?
What is it?
You don't know?
Banaxi-Techย 
posted an update 11 days ago
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Its Monday. Getting back to working on ACR 1.0.
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Banaxi-Techย 
posted an update 14 days ago
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We're releasing the BananaMind SLM Leaderboard!
It offers a easier look at which models are actually good for your specific needs.
Its primary metric, Intelligence index is a composite of BananaMind Base Bench, PIQA, Hellaswag, ARC Easy and Arithmark 3.
It also allows you to see specific categories like Commonsense on a model.


Check it out at BananaMind/BananaMind-SLM-Leaderboard

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