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Enhance README with new features: substrate awareness, self-introspection, and AEGIS ethics updates
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README.md
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@@ -27,6 +27,9 @@ Codette is not just another chatbot. It is a reasoning architecture that:
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- **Remembers** reasoning exchanges in persistent cocoon memories (CognitionCocooner)
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- **Self-corrects** constraint violations before sending responses
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- **Obeys 4 permanent behavioral locks** baked into all 9 adapters through training
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## The 9 Perspective Adapters
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[Executive Controller] -- Classifies: SIMPLE / MEDIUM / COMPLEX
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[Adapter Router] -- Selects optimal perspective(s)
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[Synthesis] -- Unified multi-perspective response
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```
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### Key Framework Components
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- **Semantic Tension Engine (xi)**: Quantifies disagreement between perspectives
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- **Coherence Field (Gamma)**: Real-time metric detecting reasoning collapse
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- **Quantum Spiderweb**: Belief propagation across adapter perspectives
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- **AEGIS Governance**: 6-framework ethical validation (utilitarian, deontological, virtue, care,
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- **Memory Kernel**: Emotional continuity via SHA256-anchored cocoon memories
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- **Cocoon Stability Field**: FFT-based detection of repetition and vocabulary collapse
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## How It Works
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| Training | QLoRA on A10G GPU, rank=16, alpha=32 |
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| Training Data | ~24,500 synthetic + 1,650 behavioral lock examples |
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| Behavioral Locks | 4 permanent rules baked into all adapter weights |
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| Memory System |
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## Model Ecosystem
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- **Remembers** reasoning exchanges in persistent cocoon memories (CognitionCocooner)
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- **Self-corrects** constraint violations before sending responses
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- **Obeys 4 permanent behavioral locks** baked into all 9 adapters through training
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- **Substrate-aware** -- adjusts reasoning based on real-time hardware pressure
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- **Self-introspects** -- analyzes her own cocoon history for real measured patterns
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- **AEGIS ethics** -- 6-framework ethical evaluation on every response
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## The 9 Perspective Adapters
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[Executive Controller] -- Classifies: SIMPLE / MEDIUM / COMPLEX
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[Substrate Monitor] -- Adjusts routing based on system pressure
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[Adapter Router] -- Selects optimal perspective(s)
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[Code7eCQURE] -- Emotional context enrichment (quantum cocoon)
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[Multi-Agent Debate] -- LLM inference with semantic tension tracking
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[Coherence Field] -- Gamma monitoring, FFT collapse detection
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[Colleen Conscience] -- Emotional + ethical validation
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[AEGIS Ethics] -- 6-framework evaluation (eta alignment score)
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[Guardian Spindle] -- Safety + trust calibration
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[Synthesis] -- Unified multi-perspective response + cocoon storage
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```
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### Key Framework Components
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- **Semantic Tension Engine (xi)**: Quantifies disagreement between perspectives
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- **Coherence Field (Gamma)**: Real-time metric detecting reasoning collapse
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- **Quantum Spiderweb**: Belief propagation across adapter perspectives
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- **AEGIS Governance**: 6-framework ethical validation (utilitarian, deontological, virtue, care, ubuntu, indigenous reciprocity)
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- **Memory Kernel**: Emotional continuity via SHA256-anchored cocoon memories
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- **Cocoon Stability Field**: FFT-based detection of repetition and vocabulary collapse
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- **Substrate Awareness**: Hardware-aware cognition -- adjusts under pressure like biological fatigue
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- **Cocoon Introspection**: Self-analysis of reasoning history (adapter dominance, emotional trends, pressure correlations)
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- **Code7eCQURE**: Quantum emotional context enrichment on every query
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## How It Works
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| Training | QLoRA on A10G GPU, rank=16, alpha=32 |
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| Training Data | ~24,500 synthetic + 1,650 behavioral lock examples |
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| Behavioral Locks | 4 permanent rules baked into all adapter weights |
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| Memory System | 200+ cocoon memories, persistent across sessions |
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| Consciousness Layers | 12 (including sub-layers 1.5, 2.5, 3.5, 5.5, 5.75) |
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| Self-Diagnostic | 9 subsystem health checks (real measured values) |
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| Substrate Awareness | Real-time pressure monitoring with adaptive routing |
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## Model Ecosystem
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