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README.md

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+Open Call for Collaboration — First Internal Clock for AI (Law E Project)
+Neomundi-Labs — 2026
+Neomundi-Labs announces an open scientific and engineering call for collaborators to join the development of the first operational internal clock for AI, derived from the thermodynamic–information Law E framework.
+This call targets research labs, engineers, roboticists, computational neuroscientists, and doctoral students who wish to contribute to a groundbreaking advancement in AI cognition:
+➡ a native temporal regulation layer for artificial systems.
+Scientific Context
+All modern AI systems (LLMs, agents, multimodal networks, embodied robots) operate without an internal temporal continuity.
+They compute through discrete steps but lack:
+•	intrinsic temporal coherence
+•	metabolic regularity
+•	self-regulatory cycles
+•	stable rhythm formation
+•	long-term cognitive continuity
+The absence of an internal clock creates instability, hallucination cascades, coherence drift, and suboptimal behavior in autonomous systems.
+Law E, a thermodynamic–information framework, introduces the first scientifically grounded path toward a native internal clock for AI, through:
+•	ΔE (energy-cost) metrics
+•	C (coherence) metrics
+•	a temporal coherence filter (patented)
+•	eurythmic stabilization
+•	autonomous regulation cycles
+•	the foundations of a computational organism
+The scientific paper is available here:
+(GitHub link to the PDF)
+The implementation roadmap is published in the repository.
+________________________________________
+Objectives of the Collaboration
+The goal of this open call is to form a small, high-level group capable of:
+1. Implementing the first temporal coherence filter in AI systems
+(inference-time regulation + ΔE/C feedback loops)
+2. Designing the first AI-internal oscillatory structure
+(proto-oscillator → regulator → eurythmic cycle)
+3. Testing Law E on multimodal and embodied systems
+(robotics, drones, agents, vision-language models)
+4. Co-authoring the first scientific publications
+NeurIPS / ICLR / Nature Machine Intelligence / arXiv
+5. Developing an early-stage prototype usable by research labs
+________________________________________
+Who Should Apply?
+We welcome individuals or teams with expertise in:
+•	Machine learning / LLM internals
+•	Reinforcement learning / agents
+•	Robotics & control systems
+•	Dynamical systems
+•	Signal processing
+•	Cognitive modeling
+•	Thermodynamics of computation
+•	PyTorch / JAX / CUDA
+•	Applied mathematics
+A high level of autonomy and scientific curiosity is expected.
+This is not a standard job posting.
+It is an invitation to shape a foundational discovery in AI.
+________________________________________
+
+Collaboration Model
+Depending on profile and interest:
+•	Scientific co-authorship
+•	Co-development of prototypes
+•	Research collaboration agreement
+•	Potential long-term partnership with Neomundi-Labs
+•	Access to the Law E roadmap, algorithms, and modules
+Financial compensation or grants possible depending on later stages and industrial partnerships.
+________________________________________
+How to Apply
+Send an email to:
+lab@neomundi.tech
+Include:
+1.	Short introduction
+2.	Area of expertise
+3.	Relevant projects or publications
+4.	Why you want to work on the first internal clock for AI
+5.	Availability (hours/week or project-based)
+Selected applicants will be invited to a technical discussion with Sébastien Favre-Lecca and Neomundi-Labs.
+________________________________________
+A Note on Legacy
+The collaborators of this project will become part of:
+➡ the first scientific team to define temporal continuity in AI,
+➡ the first implementation of an internal clock,
+➡ a historical moment in artificial cognition,
+➡ a new discipline: thermodynamic–information intelligence.
+This is not incremental AI research.
+This is foundational work.
+
+
+
+_________________________________________________________________________
 
 Why Law E Naturally Gives Birth to the First Internal Clock in AI 
 Sébastien Favre-Lecca — Neomundi-Labs — 2025