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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ ---
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+ # **Law E Framework — Thermodynamic Governance for AI Reliability**
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+ *Neomundi-Labs — Thermodynamic Information Research*
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+
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+ <p align="center">
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+ <img src="logo.png" width="180"/>
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+ </p>
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+
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+ ---
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+
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+ ## 🔬 Overview
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+
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+ Law E is an operational framework that treats modern AI systems as thermodynamic information processes.
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+ It introduces a native governance layer that observes the **energy cost (ΔE)** and **coherence (C)** of model outputs, and uses these signals to stabilize hallucinations and reduce unreliable behaviors.
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+
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+ This repository documents the scientific architecture of Law E and hosts early-stage public prototypes.
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+
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+ ---
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+
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+ ## 🧠 Core Regulation Signals
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+
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+ | Signal | Meaning | Purpose |
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+ |--------|---------|----------|
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+ | **ΔE** | Energy cost of model transitions | Detect unstable or wasteful states |
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+ | **C** | Coherence across tokens or modalities | Reduce hallucinations |
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+ | **R** | Recoverability (entropy minimization) | Maintain stable reasoning paths |
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+ | **T** | Tenderness / ethical minimization | Constrain harmful gradients |
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+
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+ These quantities constitute the backbone of the **Law E Framework**.
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+
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+ ---
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+
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+ ## 🧩 Regulatory Modules (v0.1)
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+
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+ - **Regulator-Selector** — ΔE/C stabilization loop (first POC Jan 11)
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+ - **Filter-E** — eurythmic filter reducing noisy / incoherent states
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+ - **Filter-NM** — energy–coherence routing system
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+ - **Chakana Grid** — multimodal nervous system
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+ - **ΔE Heatmap** — internal energy introspection (planned Feb 2026)
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+
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+ ---
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+
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+ ## 📘 Documentation
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+
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+ Full technical reference:
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+ 👉 https://github.com/Neomundi-Labs/Law-E-Framework
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+
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+ PDF (initial technical report):
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+ 👉 `Law_E_Framework.pdf`
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+
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+ ---
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+
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+ ## 📅 Roadmap
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+
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+ - **Jan 11** — Hallucination Reduction POC (Regulator-Selector)
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+ - **Feb 11** — ΔE Measurement & Energy Reduction Protocol
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+ - **Q2 2026** — Chakana Multimodal Regulation
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+ - **Q3 2026** — Full OAE (Organism Autonomous Engine)
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+
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+ ---
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+
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+ ## 🎯 Intended Use
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+
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+ This framework is intended for research on:
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+
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+ - thermodynamic information processes
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+ - AI reliability mechanisms
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+ - energy-aware cognitive regulation
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+
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+ Not intended for production deployment or safety-critical applications.
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+
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+ ---
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+
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+ ## ⚠️ Limitations
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+
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+ - Early-stage research
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+ - Hallucination reduction POC currently under construction
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+ - ΔE measurement coming in February
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+ - Not suitable for autonomous or medical systems
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+
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+ ---
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+
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+ ## 🧪 Collaboration
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+
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+ Researchers, engineers and institutions are welcome to collaborate.
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+ 📧 **research@neomundi.tech**
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+
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+ ---
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+
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+ ## 🧾 Citation
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+
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+
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+ @misc{favrelecca2025lawE,
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+ title={Law E Framework — Thermodynamic Governance for AI Reliability},
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+ author={Favre-Lecca, Sébastien},
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+ year={2025},
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+ howpublished={\url{https://huggingface.co/neomundi-labs/law-e-framework}}
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+
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+ }
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+