FR :
\nCe travail introduit un cadre thermodynamique pour la gouvernance des systèmes d'IA en temps réel \"à la vitesse de la génération\". Il propose les conditions d'une homéostasie computationnelle : un système qui mesure sa propre cohérence pendant la génération acquiert une éthique fonctionnelle par design. D'une question philosophique à une infrastructure.
\nLa version 2.0 formalise les Quatre Conditions de la Cohérence Artificielle : les conditions nécessaires et suffisantes pour qu'un système artificiel, numérique, robotique ou cyber-physique, maintienne sa cohérence de manière autonome. (1) Mesure multivariée simultanée. (2) Détection de dérive (ΔG). (3) Fonction de retour vers le régime stable. (4) Autonomie du cycle, by design.
\nCe cadre est générique. Les LLMs sont le premier terrain d'application.
\nIl établit des résonances formelles avec le Principe d'Énergie Libre (Friston), les systèmes dynamiques (LeCun) et la vision d'une IA consciente de ses limites (Bengio), ici implémentée, pas seulement théorisée. La vision architecturale fondatrice est posée dans le Law E Corpus (7/7, novembre 2025 https://doi.org/10.5281/zenodo.17705536). Une preuve de concept datée du 23 décembre 2025 documente l'activation in vivo des quatre conditions.
\nPortefeuille de sept brevets INPI déposés (B1–B7, 2026). Version précédente : https://doi.org/10.5281/zenodo.19385052
\n\n\nEN :
\nThis work introduces a thermodynamic framework for real-time AI governance — at the speed of generation. It proposes the conditions for computational homeostasis: a system that continuously measures its own coherence during generation implements functional self-awareness as an engineering property, not a philosophical claim. From a philosophical question to an engineering infrastructure.
\nVersion 2.0 formalizes the Four Conditions of Artificial Coherence: the necessary and sufficient conditions for any artificial system — digital, robotic, or cyber-physical — to maintain coherence autonomously. (1) Simultaneous multivariate measurement. (2) Drift detection (ΔG). (3) Return function toward the stable regime. (4) Cycle autonomy — by design.
\nThis framework is generic. LLMs are the first application domain.
\nIt establishes formal resonances with the Free Energy Principle (Friston), dynamic systems theory (LeCun), and the vision of AI aware of its own limitations (Bengio) — here implemented, not merely theorized. The founding architectural vision is established in the Law E Corpus (7/7, November 2025 — https://doi.org/10.5281/zenodo.17705536). A proof of concept dated December 23, 2025 documents the in vivo activation of the four conditions.
\nSeven INPI patent families filed (B1–B7, 2026). Previous version: https://doi.org/10.5281/zenodo.19385052
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