---
license: mit
tags:
- quine
- dreamerv3
- neuroevolution
- glass-box-ai
- world-model
- reinforcement-learning
---

# 🔮 Champion Gen42 - Glass Box Quine Brain

> **THIS IS THE OPPOSITE OF A BLACK BOX**  
> Every weight, decision, and mutation is fully transparent.

## ▶️ Try It Live

**[🌌 CASCADE Hyperlattice Demo](https://huggingface.co/spaces/tostido/cascade-hyperlattice)** — Real-time 3D visualization with HOLD protocol

---

## What Is This?

A **self-contained, merkle-hashed AI agent** that can:
- Run inference with full transparency
- Verify its own integrity via quine hash
- Be replicated without external dependencies
- Log every decision to a provenance chain

### Architecture

```
TIER 1 - RSSM (Recurrent State Space Model)
  • DreamerV3 L-size: deter=4096, stoch=32x32
  • Total latent: 5120 dimensions
  
TIER 2 - LoRA Adapter (EVOLVED)
  • ~82K parameters, rank=16
  • Maps latent → 8 action logits
  
TIER 3 - Evolved Traits
  • Hyperparameters discovered via NEAT-style evolution
```

### Quine Properties

| Property | Value |
|----------|-------|
| Merkle Hash | `38438eb04586975cda66a08fd3c447bb` |
| Generation | 42 |
| Fitness | 0.5879 |
| Brain Type | DreamerV3 |

---

## Quick Start

```python
# Load from Hugging Face
from huggingface_hub import hf_hub_download
import importlib.util

path = hf_hub_download(
    repo_id="tostido/key-data",
    filename="models/champion_gen42.py",
    repo_type="dataset"
)

spec = importlib.util.spec_from_file_location("champion", path)
champion = importlib.util.module_from_spec(spec)
spec.loader.exec_module(champion)

# Create agent
agent = champion.ChampionAgent()

# Verify integrity
assert agent.verify_quine_integrity()

# Run inference
obs = [0.0] * 64  # Your observation
action_probs, value = agent.forward(obs)
print(f"Action: {action_probs.argmax()}, Value: {value:.4f}")

# Full transparency
agent.show_readme()
```

---

## 🛑 HOLD Protocol

Human-in-the-loop oversight at inference time:

```python
# Run with HOLD (requires cascade-lattice)
result = agent.forward_hold(obs, blocking=True, timeout=30.0)

# Result includes:
# - action: final action taken
# - was_override: True if human intervened
# - hold_id: merkle hash of decision point
```

---

## 💼 Quine Brain Conversion Service

**Want your model wrapped as a Glass Box Quine Brain?**

I offer conversion services for:
- Custom RL agents
- Foundation models
- Any PyTorch/JAX model

**What you get:**
- ✅ Self-contained single-file capsule
- ✅ Merkle-hashed provenance
- ✅ Quine verification (tamper-proof)
- ✅ HOLD protocol integration
- ✅ Full transparency APIs

📧 Contact: [towers.jeff@gmail.com]

---

## Files

| File | Description |
|------|-------------|
| `champion_gen42.py` | The complete quine brain (~50MB with embedded weights) |
| `requirements.txt` | Dependencies for running locally |

---

## License

MIT — Use freely, but the quine hash proves provenance.