Update README.md

README.md

@@ -1,3 +1,49 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+https://huggingface.co/datasets/neomonde-lab/law-e-framework/resolve/main/README.md
+# Law E Framework – Thermodynamic Governance for AI Reliability
+
+**Short description**
+
+Law E is an operational framework that treats modern AI systems as thermodynamic information processes.  
+It introduces a native governance layer that observes the “energy cost” and coherence of model outputs, and uses this signal to regulate hallucinations and unstable behaviors.
+
+This repository hosts the **initial technical report** describing the framework, its main equations and the first proof-of-concept design.
+
+📄 **PDF**: [`Law_E_Framework.pdf`](./Law_E_Framework.pdf)
+
+---
+
+## Why Law E?
+
+- Large language models are powerful but prone to **hallucinations**.
+- Current guardrails are mostly **symbolic or heuristic**.
+- Law E proposes a **physics-inspired governance layer**:
+  - monitors useless energy dissipation ΔE
+  - tracks global organization / stability
+  - regulates inference when the system drifts
+
+The goal is to move toward **self-regulated, energy-aware AI systems**.
+
+---
+
+## Current status
+
+- Conceptual framework and equations defined.
+- First regulator–selector POC in development.
+- Next steps:
+  - standardized hallucination evaluation (TruthfulQA, etc.)
+  - CPU/energy proxy metrics
+  - public demonstrator for selected models.
+
+---
+
+## Contact & Collaboration
+
+Created by **Sébastien Favre-Lecca (Neomonde Lab)**  
+
+- Website: https://neomonde.tech  
+- Twitter: [@GoldOracle_E](https://twitter.com/GoldOracle_E)  
+
+If you are working on AI safety, energy-aware AI, or robotics and want to collaborate on Law E evaluation or implementation, feel free to reach out.