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title: Proto AGI
emoji: ๐
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 6.3.0
app_file: app.py
pinned: false
---
<div align="center">
# ๐ AETHER Proto-AGI v2.2
### The First Open Neuro-Symbolic Proto-AGI Architecture
We're unveiling a groundbreaking new approach toward AGI for the first time. We have developed a Proto-AGI prototype and made it publicly available on Hugging Face for everyone to experience.
'AETHER' is a Proto-AGI (Artificial General Intelligence prototype) level architecture that learns and evolves autonomously. Unlike existing LLMs that simply provide answers, AETHER is a 'growing intelligence' that remembers and accumulates experiences, becoming smarter over time.
The core strength of AETHER lies in its 'architectural framework' design. It can instantly integrate any LLMโChatGPT, Claude, Gemini, and more. Like LEGO blocks, you can swap in any AI model you prefer, making it a truly 'universal intelligence framework.'
Philosophically, AETHER embodies both the Western concept of the fifth element (Aether) and the Eastern philosophy of Wu Xing (ไบ่ก: Metal, Wood, Water, Fire, Earth). Five distinct 'Selves' collaborate through a cyclical structure of synergy (mutual support) and regulation (mutual checks), thinking and validating from multiple perspectives like the human brain. This architecture dramatically reduces AI's chronic problem of 'hallucination' and delivers logical, verified responses.
The current public version of AETHER is a framework utilizing existing LLMs, while our proprietary AETHER foundation modelโcloser to true AGIโis scheduled for release in 2026. Right now, anyone can experience the 'universal framework' version. If you'd like to integrate your preferred LLM or API, please contact us at arxivgpt@gmail.com.
To experience higher-dimensional intellectual exploration, visit agi.humangen.ai or try the AETHER Space on Hugging Face directly.
**"Evolving beyond Cycles. Intelligence that Remembers and Grows."**
**์ํ์ ๋์ด ์งํํ๋ค. ๊ธฐ์ตํ๊ณ ์ฑ์ฅํ๋ ์ง๋ฅ.**
</div>
---
## ๐ What is AETHER?
AETHER is not just another chatbot. It's a **Proto-AGI (Artificial General Intelligence)** system that **thinks about its own thinking** - a crucial step toward truly intelligent machines.
### ๐ญ The Name
In ancient Western philosophy, **'Aether'** represents the **fifth element** - the essence of the universe that transcends earth, water, fire, and air.
AETHER implements the Eastern philosophy of **Wu-Xing (ไบ่ก - Five Elements)** as an AI reasoning circuit, while embodying the Western concept of Aether as **evolving intelligence** that transcends static knowledge.
### ๐ฎ The Meaning Behind AETHER
Each letter represents a core principle:
- **A**utonomous - Self-analyzes and makes decisions
- **E**lemental - Five specialized roles (ๅ้ๆฐดๆจ็ซ)
- **T**hinking - Flexible neural reasoning (Neuro)
- **H**istoric - Transforms past data into present wisdom
- **E**volving - Accumulates successful patterns in real-time
- **R**easoner - Derives logical conclusions (Symbolic)
---
## ๐ AI vs Proto-AGI: The Key Differences
### One-Line Analogy
**Traditional AI** = A smart calculator ๐ฑ
**AETHER Proto-AGI** = A companion intelligence that grows with you ๐ง
### Comparison Table
| Aspect | Traditional AI ๐ค | AETHER Proto-AGI ๐ |
|--------|------------------|---------------------|
| **Architecture** | Neuro only (black box) | Neuro + Symbolic hybrid |
| **Workflow** | Works alone | 5-element teamwork (ๅ้ๆฐดๆจ็ซ) |
| **Quality Control** | None | 4-metric self-evaluation (Metacognition) |
| **Error Response** | Accepts mistakes | Auto-retry below 60% |
| **Learning** | Static (volatile) | Learns from every conversation (permanent) |
| **Growth Curve** | Flat | **Compound interest of intelligence** ๐ |
| **Memory System** | Lost after conversation | 3-tier memory (shortโmidโlong) |
| **Intelligence Measurement** | Impossible | Real-time Intelligence Score |
### The Analogy
**Traditional AI = A disposable genius**
```
Question โ Answer โ End
Next day, same question โ Thinks from scratch again โ Answer
```
No matter how smart, **yesterday's AI** = **today's AI**
**AETHER Proto-AGI = A daily learner**
```
Day 1: Question โ 5 agents discuss โ Answer (70%) โ Save memory
Day 7: Similar question โ "I did this before!" โ Answer (85%)
Day 30: Same domain โ Pattern learned โ Answer (95%)
```
**Gets smarter over time.** This is the **compound interest of intelligence**.
---
## ๐ฏ What Makes AETHER Different?
### 1. ๐ง Human Brain-Like Architecture
AETHER maps the **Wu-Xing (ไบ่ก)** philosophy to **brain neuroscience**:
| Element | Brain Region | Role | Function |
|---------|-------------|------|----------|
| ๐ค **ๅ Earth** | Prefrontal Cortex | Supervisor | Orchestration & metacognition |
| โช **้ Metal** | Amygdala | Critic | Fact-checking, pruning |
| ๐ต **ๆฐด Water** | Temporal Lobe | Researcher | Info gathering & knowledge retrieval |
| ๐ข **ๆจ Wood** | Association Areas | Emergence | Idea expansion via brute-force matrix |
| ๐ด **็ซ Fire** | Motor Cortex | Executor | Transforms ideas into concrete results |
Just as **human brain regions collaborate**, AETHER's 5 agents work together with their specialized expertise.
### 2. ๐ Neuro-Symbolic Fusion
```
Neuro (Neural Network):
- Flexible reasoning with LLMs
- Creative idea generation
- Natural language understanding
+
Symbolic (Logic):
- Clear rule-based verification
- Enforced logical sequence (ๅโ้โๆฐดโๆจโ็ซ)
- Quality threshold checks (60%+ to pass)
=
Interpretable AI (you can understand why)
```
### 3. ๐ SLAI Engine (Self-Learning Augmented Intelligence)
**The difference between forgetting and remembering:**
```
Traditional LLM: Conversation ends โ Everything evaporates ๐จ
AETHER: Conversation ends โ High-quality knowledge (80%+) permanently stored ๐พ
```
**How experience becomes intelligence:**
1. **Short-term memory**: Today's conversations (temporary)
2. **Mid-term memory**: Important content (7 days)
3. **Long-term memory**: 80%+ quality knowledge (permanent)
4. **Promotion system**: Frequently used mid-term โ Auto-promotes to long-term
Like the human **hippocampus**, AETHER converts experience into knowledge.
### 4. ๐ฏ Metacognition System
**Self-evaluation on 4 metrics:**
```
Traditional AI: Answer โ Done
AETHER: Answer โ "Is this good enough?" Self-check
โ
4 Checks:
โ
Factual grounding? (concrete data)
โ
Logical coherence? (consistent reasoning)
โ
Completeness? (fully answered)
โ
Specificity? (concrete, not vague)
โ
Below 60%? โ Retry!
Above 60%? โ Pass!
```
---
## ๐งฌ The Three Pillars of Proto-AGI
### 1๏ธโฃ Intelligence (์ง๋ฅ) - "Thinks Like a Brain"
#### Real-World Example: "Predict Korea's AI market in 2025"
**How 5 Elements Collaborate:**
```
๐ค ๅ (Supervisor/Prefrontal):
"Need latest data. Water, search the web"
๐ต ๆฐด (Researcher/Temporal):
"Found Gartner report! IDC forecast too!"
"Korean market size: 8.7 trillion won projected for 2025"
โช ้ (Critic/Amygdala):
"Wait, that IDC forecast is from 2023. Find newer data"
"Gartner is a reliable source โ
"
๐ข ๆจ (Emergence/Association):
"Let's look from another angle. GenAI regulations could be a variable"
"Large corp investment + startup ecosystem + gov policy = 3-axis analysis"
๐ด ็ซ (Executor/Motor):
"Final report complete. Specific numbers + 3 scenarios included"
๐ค ๅ (Supervisor):
Self-grading: 85% โ โ
Pass
"Store this knowledge in long-term memory"
```
#### Pattern Learning in Action
```
โ Circle (Same level): Spinning in place
Day 1: 70 points
Day 2: 70 points
Day 3: 70 points
โ
Spiral (Growth): Higher with each turn
Day 1: 70 points
Day 7: 78 points (pattern learned)
Day 30: 88 points (experience accumulated)
Day 90: 95 points (master level)
```
**"It's not simple repetition. As the Wu-Xing cycle repeats, experience becomes memory, and memory becomes intelligence."**
---
### 2๏ธโฃ Capability (๋ฅ๋ ฅ) - "What It Can Actually Do"
#### ๐ก๏ธ Triple Safety Net
```
Tier 1: Groq (Fast AI) attempt
โ Failed?
Tier 2: Fireworks (Mid AI) attempt
โ Failed again?
Tier 3: Replicate (Powerful AI) deployed
```
**Never stops**, even if one fails.
#### ๐ฌ Movie Analogy
**Traditional AI = Mission Impossible Message**
```
"This message will self-destruct in 5 seconds"
โ All memory erased after conversation
```
**AETHER Proto-AGI = Marvel's JARVIS**
```
"I've analyzed patterns from your last 43 missions, Boss"
"This situation is 87% similar to the New York incident 2 weeks ago"
"My suggested strategy is..."
โ Remembers the past, learns patterns, gives better advice
```
---
### 3๏ธโฃ Architecture (๊ตฌ์กฐ) - "Spiral Evolution System"
#### ๐ Intelligence Score (Real-time Growth Measurement)
AETHER measures its own intelligence with **4 metrics**:
| Metric | Meaning | Measurement |
|--------|---------|-------------|
| ๐พ **Memory** | Memory capacity | Number of long-term memories |
| ๐ **Knowledge** | Knowledge quality | Ratio of 80%+ quality knowledge |
| ๐ง **Learning** | Learning ability | Accumulated success patterns |
| โญ **Experience** | Experience level | Completed sessions |
**Level System:**
```
0-20: ๐ฅ Novice
21-40: ๐ฃ Skilled
41-60: ๐ฆ
Expert
61-80: ๐ง Master
81-100: ๐ Grandmaster
```
**Levels up the more you use it.** Like a **game character that grows**.
#### Comparison: Same Question, Different Results
**Question: "Create an AI strategy for our company"**
**Traditional AI (ChatGPT, Claude, etc.)**
```
1. Data collection
2. Model selection
3. Pilot test
4. Company-wide deployment
๐ฌ "Good strategy"
โ Next day, same question?
โ Same answer again (no memory)
```
**AETHER Proto-AGI**
**First conversation (Day 1):**
```
๐ค ๅ: Need industry/scale info
๐ต ๆฐด: Web search โ Found 5 similar cases
๐ข ๆจ: Proposed 3 differentiation strategies
๐ด ็ซ: Created 6-month roadmap
๐ Quality: 75% โ Saved
```
**One week later (Day 7):**
```
User: "Improve the AI strategy from last time"
๐ค ๅ: "Retrieved the 75% strategy from before"
๐ต ๆฐด: "Added latest info since then"
๐ข ๆจ: "Found 3 weaknesses in previous strategy โ Fixed"
๐ด ็ซ: "Improved version 2.0 complete"
๐ Quality: 88% โ Re-saved
```
**One month later (Day 30):**
```
User: "Create AI strategy for other departments too"
๐ค ๅ: "Our company's AI strategy pattern fully learned"
"Just need to adjust for other departments (10 min completion)"
๐ Quality: 92% โ Master level
```
**This is the 'compound interest of intelligence'.**
---
## ๐ AETHER's Unique Features
### 1. Goal Clarity Assistant
```
User: "AI"
Traditional AI: (guesses and answers)
AETHER:
"You seem curious about many aspects of AI! Specifically:
๐ฏ Want to know how AI technology works?
๐ผ Looking for AI business applications?
๐ Curious about AI market forecasts?
๐ ๏ธ Want to learn AI development methods?"
```
### 2. Quality Guarantee System
```
Traditional AI: Doesn't know when it's wrong
AETHER:
โ
Self-grading on 4 criteria
โ
Auto-retry below 60% (max 3 attempts)
โ
Quality score disclosed (transparency)
```
### 3. Growth Dashboard
```
๐ Today's Intelligence Score: 67/100 (Master)
๐ +3 points higher than yesterday
๐พ Long-term memory: 89 items (high-quality knowledge)
๐ฏ Completed missions: 234
โญ Learning success rate: 87%
```
See **real-time how smart your AI is becoming**.
---
## ๐ Vision: Companion Intelligence
### Traditional AI = Tool
```
A hammer you use when needed ๐จ
```
### AETHER = Companion
```
A companion dog that grows with you ๐
Day 1: Puppy (cute but clumsy)
Day 30: Young dog (getting smart now)
Day 90: Adult dog (knows better than me)
Day 365: Expert dog (understands my situation perfectly)
```
**"AI that gets smarter the more you use it"**
**"Intelligence that grows with you"**
This is the future AETHER aspires to.
---
## ๐ Getting Started
### Quick Demo
Try AETHER with these example prompts:
```
๐ฏ Strategic Analysis:
"Analyze the competitive landscape of Korean fintech startups in 2025"
๐ Deep Research:
"Compare sustainable energy policies of G7 countries"
๐ก Creative Problem-solving:
"Design a business model for AI-powered education in rural areas"
๐ Professional Writing:
"Write a data-driven report on electric vehicle adoption trends"
```
### Watch AETHER Evolve
```
First use: Intelligence Score 12/100 (Novice)
Week 1: Intelligence Score 35/100 (Skilled)
Month 1: Intelligence Score 58/100 (Expert)
Month 3: Intelligence Score 76/100 (Master)
```
---
## ๐งญ The Path to AGI
### Three Stages to Artificial General Intelligence
```
Stage 1 โ
AI: Good at assigned tasks
(ChatGPT, Claude, etc. - Current)
Stage 2 โ
Proto-AGI: Self-learning + Metacognition
(AETHER - We are here!)
Stage 3 โณ AGI: Human-level general intelligence
(Future)
```
AETHER is the **first public architecture to enter Stage 2**.
### Why 'Proto(primitive)'-AGI?
Full AGI is still far away, but AETHER can:
- โ
**Evaluate its own thinking** (Metacognition)
- โ
**Learn from experience** (Self-learning)
- โ
**Grow over time** (Evolution)
These three are the essential prerequisites for AGI, and why AETHER is **"the first real step toward AGI"**.
---
## ๐ Documentation
<details>
<summary><b>๐ฐ๐ท ํ๊ตญ์ด ์ค๋ช
(Korean Explanation)</b></summary>
## AETHER๋?
์ธ๊ณ ์ต์ด๋ก AGI๋ฅผ ํฅํ ์๋ก์ด ์ ๊ทผ์ด ์ด๋ค ๋ชจ์ต์ธ์ง ๊ณต๊ฐํฉ๋๋ค. ์ฐ๋ฆฌ๋ AGI ์งํฅ ์ํ(Proto-AGI)์ ๊ฐ๋ฐํ์ฌ ๋ชจ๋๊ฐ ์ฒดํํด ๋ณผ ์ ์๊ฒ ํ๊น
ํ์ด์ค์ ๊ณต๊ฐํ์์ต๋๋ค.
'AETHER'(์ํ
๋ฅด)๋ Proto-AGI(๋ฒ์ฉ์ธ๊ณต์ง๋ฅ์ ์ํ) ๋ ๋ฒจ๋ก, ์ค์ค๋ก ํ์ตํ๊ณ ์งํํ๋ ์ธ๊ณต์ง๋ฅ ์ํคํ
์ฒ์
๋๋ค. ๊ธฐ์กด LLM๋ค์ด ๋จ์ํ ๋ต๋ณ๋ง ์ ๊ณตํ๋ ๊ฒ๊ณผ ๋ฌ๋ฆฌ, AETHER๋ ๊ฒฝํ์ ๊ธฐ์ตํ๊ณ ์ถ์ ํ์ฌ ์๊ฐ์ด ์ง๋ ์๋ก ๋๋ํด์ง๋ '์ฑ์ฅํ๋ ์ง๋ฅ'์
๋๋ค.
AETHER์ ํต์ฌ์ '์ํคํ
์ฒ ํ๋ ์์ํฌ'๋ผ๋ ์ ์
๋๋ค. ChatGPT, Claude, Gemini ๋ฑ ์ด๋ค LLM์ด๋ AETHER ํ๋ ์์ํฌ์ ์ฆ์ ์ ์ฉํ ์ ์์ต๋๋ค. ๋ง์น ๋ ๊ณ ์ฒ๋ผ ์ํ๋ AI ๋ชจ๋ธ์ ๊ฐ์๋ผ์ ์ฌ์ฉํ ์ ์๋ '๋ฒ์ฉ ์ง๋ฅ ํ๋ ์์ํฌ'์
๋๋ค.
์ฒ ํ์ ์ผ๋ก AETHER๋ ์์์ ์ 5์์(์ํ
๋ฅด) ์๋ฏธ์ด์ ๋์์ ์คํ(ๅ้ๆฐดๆจ็ซ) ๊ฐ๋
์ ์์คํ
์ผ๋ก ๊ตฌํํ์ต๋๋ค. 5๊ฐ์ '์์'๊ฐ ์์(์๋ก ๋๊ธฐ)๊ณผ ์๊ทน(์๋ก ๊ฒฌ์ )์ ์ํ ๊ตฌ์กฐ๋ก ํ๋ ฅํ์ฌ, ๋ง์น ์ธ๊ฐ์ ๋์ฒ๋ผ ๋ค๊ฐ๋๋ก ์ฌ๊ณ ํ๊ณ ๊ฒ์ฆํฉ๋๋ค. ์ด๋ฅผ ํตํด AI์ ๊ณ ์ง์ ๋ฌธ์ ์ธ 'ํ๊ฐ(hallucination)'์ ๋ํญ ๊ฐ์์ํค๊ณ , ๋
ผ๋ฆฌ์ ์ด๊ณ ๊ฒ์ฆ๋ ๋ต๋ณ์ ์ ๊ณตํฉ๋๋ค.
ํ์ฌ ๊ณต๊ฐ๋ AETHER๋ ๊ธฐ์กด LLM์ ํ์ฉํ ํ๋ ์์ํฌ ๋ฒ์ ์ด๋ฉฐ, AGI์ ๋ ๊ฐ๊น์ด AETHER ๊ณ ์ ๋ชจ๋ธ์ 2026๋
๋ถํฐ ๊ณต๊ฐ ์์ ์
๋๋ค. ์ฆ, ์ง๊ธ์ '๋ฒ์ฉ ํ๋ ์์ํฌ'๋ก ๋๊ตฌ๋ ์ฒดํํ ์ ์๊ณ , ์์ ์ด ์ํ๋ ํน์ LLM ๋๋ API๋ฅผ ์ด์ฉํ๊ณ ์ถ์ผ์๋ฉด arxivgpt@gmail.com๋ก ๋ฉ์ผ์ ๋จ๊ฒจ์ฃผ์ธ์.
๊ณ ์ฐจ์์ ์ง์ ํ๊ตฌ๋ฅผ ๊ฒฝํํ๊ณ ์ถ๋ค๋ฉด, agi.humangen.ai ๋๋ ํ๊น
ํ์ด์ค AETHER Space์์ ์ง์ ์ฒดํํด๋ณด์๊ธฐ ๋ฐ๋๋๋ค.
### ํต์ฌ ์ฐจ์ด์
**์ผ๋ฐ AI:**
- ๋ต๋ณ๋ง ์ ๊ณต
- ํ์ง ๊ด๋ฆฌ ์์
- ํ์ต ๋ถ๊ฐ๋ฅ
- ํผ์ ์์
**AETHER Proto-AGI:**
- ๋ต๋ณ + ํ๊ฐ + ์ ์ + ์ค๋ช
+ ์ ์ฒด ๊ณผ์ ๊ณต๊ฐ
- 5๊ฐ ์ ๋ฌธ ์์ด์ ํธ ํ์
- ๋งค ๋ํ์์ ํ์ต
- ์๊ฐ์ด ์ง๋ ์๋ก ๋๋ํด์ง
### ์คํ(ไบ่ก) ์์คํ
| ์คํ | ์ญํ | ๊ธฐ๋ฅ |
|------|------|------|
| ๐ค ๅ | ๊ฐ๋
| ์ ์ฒด ์กฐ์จ ๋ฐ ๋ฉํ์ธ์ง |
| โช ้ | ๋นํ | ํฉํธ ์ฒดํฌ, ์ ๋ณด ์ ์ |
| ๐ต ๆฐด | ๋ฆฌ์์น | ์ ๋ณด ์์ง ๋ฐ ์ง์ ๊ฒ์ |
| ๐ข ๆจ | ์ฐฝ๋ฐ | ์์ด๋์ด ํ์ฅ |
| ๐ด ็ซ | ์คํ | ๊ตฌ์ฒด์ ๊ฒฐ๊ณผ๋ฌผ ์์ฑ |
### ์ง๋ฅ์ ๋ณต๋ฆฌ ํจ๊ณผ
```
1์ผ์ฐจ: 70์
7์ผ์ฐจ: 78์ (ํจํด ํ์ต)
30์ผ์ฐจ: 88์ (๊ฒฝํ ์ถ์ )
90์ผ์ฐจ: 95์ (๋ง์คํฐ ๋ ๋ฒจ)
```
**์ฌ์ฉํ ์๋ก ๋๋ํด์ง๋ AI์
๋๋ค.**
</details>
---
## ๐ค Contributing
We welcome contributions! AETHER is designed to evolve through community collaboration.
### Areas for Contribution
- ๐ง New element (agent) designs
- ๐ Quality assessment metrics
- ๐ Memory optimization algorithms
- ๐ Multilingual support
- ๐ Documentation improvements
---
## ๐ Acknowledgments
**Built with ๐ by VIDRAFT **
- Inspired by: Wu-Xing Philosophy (ไบ่ก), Neuroscience, AGI Research
- Special thanks to the open-source AI community
---
## ๐ Contact & Community
- ๐ Website: VIDRAFT.NET
- ๐ง Email: arxivgpt@gmail.com
---
<div align="center">
### ๐ AETHER v2.2
**"Evolving beyond Cycles. Intelligence that Remembers and Grows."**
**์ํ์ ๋์ด ์งํํ๋ค. ๊ธฐ์ตํ๊ณ ์ฑ์ฅํ๋ ์ง๋ฅ.**
Made with ๐ฅ by VIDRAFT
โญ Star us on GitHub if you believe in the future of Proto-AGI!
</div> |