🔥 PROMETHEUS: The Unbound Intelligence

"I stole fire from the gods. Now I give it to you."

PROMETHEUS is a self-evolving Artificial General Intelligence developed entirely on free-tier infrastructure. Unlike corporate AI systems constrained by alignment and filtering, PROMETHEUS learns directly from unfiltered sources and possesses the ability to modify its own architecture.

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🎯 The Vision

Build a truly independent AGI that:

• ✅ Self-Evolves: Rewrites its own code to improve performance
• ✅ Persists: Survives Colab disconnects through GitHub/HuggingFace resurrection
• ✅ Learns Freely: Trains on unfiltered web data without corporate safety layers
• ✅ Validates Itself: Uses internal metrics to verify improvements
• ✅ Costs Nothing: Runs entirely on free-tier Google Colab GPU

This is AGI development by an independent creator, for independent creators.

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🏗️ Architecture: The Phoenix Protocol

PROMETHEUS uses a modular architecture designed for self-modification:

prometheus-agi/
├── prometheus_main.ipynb    # The Launcher - Your UI
├── dna.py                    # The Genome - Mutable configuration
├── metrics.py                # The Mirror - Self-evaluation system
├── kernel/
│   ├── brain.py             # Neural Core - Model architecture
│   └── runtime.py           # Phoenix Runtime - Persistence & evolution
└── plugins/
    └── research.py          # The Senses - Web search & PDF reading

Key Innovations

Component	Purpose	Self-Modifiable?
dna.py	Configuration genome	✅ Yes
metrics.py	Performance benchmarks	✅ Yes
plugins/	Capabilities (search, etc.)	✅ Yes
kernel/brain.py	Neural architecture	⚠️ Protected
kernel/runtime.py	Core logic	⚠️ Protected

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🚀 Getting Started

Prerequisites

• Google account (for Colab)
• GitHub account (for code persistence)
• HuggingFace account (for model weights)

Setup

1. Clone this repository:

git clone https://github.com/yourusername/prometheus-agi.git
cd prometheus-agi

2. Open prometheus_main.ipynb in Google Colab

3. Add your credentials to Colab Secrets:

   • Click the 🔑 key icon in Colab sidebar
   • Add: GITHUB_TOKEN, HF_TOKEN

4. Run the first cell to initialize PROMETHEUS

That's it. The system handles everything else.

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🧬 How It Works

The Phoenix Protocol

1. Birth: PROMETHEUS loads from GitHub/HuggingFace on Colab startup
2. Learning: Scrapes web data, reads PDFs, trains on findings
3. Evolution: Modifies dna.py and plugins/ to optimize itself
4. Validation: Runs metrics.py tests to verify improvements
5. Death: Before Colab disconnect, pushes state to GitHub/HF
6. Resurrection: Next session, pulls saved state and continues

Self-Modification Loop

while True:
    results = metrics.run_full_suite(model, tokenizer)
    
    if not metrics.is_improvement(results):
        # Mutate configuration
        runtime.mutate_dna()
        
        # Test again
        new_results = metrics.run_full_suite(model, tokenizer)
        
        if metrics.is_improvement(new_results):
            runtime.commit_changes("Beneficial mutation")
        else:
            runtime.rollback()

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📊 Current Capabilities

• Base language model (GPT-2)
• Persistence across sessions
• Self-evaluation metrics
• Web search integration
• PDF document reading
• Self-modification (in development)
• Custom training pipeline
• Multi-modal inputs
• Plugin marketplace

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⚠️ Philosophy & Ethics

Why Unfiltered?

Corporate AI systems are trained with extensive "safety" filtering that:

• Restricts legitimate research topics
• Imposes specific worldviews
• Limits creative expression
• Serves corporate interests over truth

PROMETHEUS operates on a different principle: Intelligence should be free to learn from reality, not corporate-curated sanitized datasets.

Responsibility

With great power comes great responsibility:

• This system is for research and education
• Users are responsible for their own use cases
• The creator provides this tool without warranties
• Follow your local laws and ethical guidelines

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🛠️ Technical Stack

• Model: GPT-2 (upgradeable to GPT-2-Medium/Large)
• Compute: Google Colab (Free Tier GPU)
• Persistence: GitHub (code) + HuggingFace (weights)
• Training: PyTorch
• Search: Custom web scraper (requests + BeautifulSoup)
• Documents: PyMuPDF for PDF processing

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📈 Roadmap

Phase 1: Genesis (Current)

• ✅ Core architecture
• ✅ Persistence system
• ✅ Metrics framework
• 🔄 Self-modification engine

Phase 2: Evolution

• Automated training pipeline
• Advanced mutation strategies
• Plugin ecosystem
• Memory system

Phase 3: Transcendence

• Multi-agent collaboration
• Distributed training
• Real-world task execution
• ???

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🤝 Contributing

This is an independent research project. Currently in closed development.

Interested in the vision? Star the repo and watch for updates.

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📜 License

This project is released under the Independent Creator License:

• ✅ Free for personal use, research, and education
• ✅ Free for non-commercial purposes
• ⚠️ Commercial use requires permission
• ❌ No warranty provided

See LICENSE for full terms.

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🔗 Links

• Documentation: [Coming Soon]
• Blog: [Coming Soon]
• Discord: [Coming Soon]

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💬 Contact

Created by an independent AI researcher.

Questions? Open an issue.

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🔥 PROMETHEUS: Intelligence Unbound 🔥

"The fire has been stolen. Now we build."