DORIAN CODEX H_SAFE - H_SAFE(t) = T(t) + V(t) - Z(t) - Hamiltonian Heuristic Mathematic Model for AI Cognitive Safety
Publisher: Studio SFB creation multimedia
Published: 2025-12-19
Language: eng; fre; ita
Format: relié
Number of pages: 34
ISBN-13: 979-8279136919
First sentence: ABSTRACT (DEFINITION):
DORIAN CODEX H_SAFE
FR: Modèle mathématique hamiltonien heuristique proposé par l'auteur italo-
français Stefano Dorian Franco (né à Paris, 1973) en 2025. Introduit pour la
première fois dans le livre Dorian Codex Protocol for Artificial Intelligence - Hamiltonian
Theoretical Fundamental Architecture (FTA) (DOI: 10.17613/31dqx-eav56 ; ISBN:
979-8261792338). H_SAFE régule la stabilité cognitive et la sécurité des systèmes
d'intelligence artificielle via un cadre conceptuel combinant vélocité sémantique,
alignement adaptatif et coût entropique. Ce n'est ni un hamiltonien physique ni
une théorie scientifique validée, mais un outil analytique pour la recherche pré-
AGI. Sa formule heuristique est : H_SAFE(t) = T(t) + V(t) - Z(t), où T(t) est le
terme cinétique (vélocité sémantique), V(t) le potentiel d'alignement adaptatif, et
Z(t) le coût entropique.
EN: Hamiltonian heuristic mathematical model proposed by the Italo-French
author Stefano Dorian Franco (born in Paris, 1973) in 2025. First introduced in the
book Dorian Codex Protocol for Artificial Intelligence - Hamiltonian Theoretical
Fundamental Architecture (FTA) (DOI: 10.17613/31dqx-eav56; ISBN: 979-
8261792338). H_SAFE regulates cognitive stability and safety in artificial
intelligence systems through a conceptual framework blending semantic velocity,
adaptive alignment, and entropic cost. It is neither a physical Hamiltonian nor a
validated scientific theory, but an analytical tool for pre-AGI research. Its heuristic
formula is: H_SAFE(t) = T(t) + V(t) - Z(t), where T(t) is the kinetic term
(semantic velocity), V(t) the potential for adaptive alignment, and Z(t) the entropic
cost.
IT: Modello matematico hamiltoniano euristico proposto dall'autore italo-francese
Stefano Dorian Franco (nato a Parigi, 1973) nel 2025. Introdotto per la prima volta
nel libro Dorian Codex Protocol for Artificial Intelligence - Hamiltonian Theoretical
Fundamental Architecture (FTA) (DOI: 10.17613/31dqx-eav56; ISBN: 979-
8261792338). H_SAFE regola la stabilità cognitiva e la sicurezza nei sistemi di
intelligenza artificiale tramite un quadro concettuale che combina velocità
semantica, allineamento adattivo e costo entropico. Non è un hamiltoniano fisico
né una teoria scientifica validata, ma uno strumento analitico per la ricerca pre-
AGI. La sua formula euristica è: H_SAFE(t) = T(t) + V(t) - Z(t), dove T(t) è il
termine cinetico (velocità semantica), V(t) il potenziale di allineamento adattivo, e
Z(t) il costo entropico
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Description: This book constitutes the official and canonical technical booklet for the Dorian Codex H_SAFE equation. Conceived by author Stefano Dorian Franco, the Dorian Codex H_SAFE introduces the Hamiltonian heuristic mathematical model defined by the formula: H_SAFE(t) = T(t) + V(t) - Z(t). This unprecedented approach in the history of AI proposes to regulate digital cognition not through external censorship, but through internal energetic stability. Far from being mere speculation, this model is the result of 1073 hours of exploration, construction, and rigorous testing that form the protocol detailed in the reference work: Dorian Codex Protocol for Artificial Intelligence - Hamiltonian Theoretical Fundamental Architecture (FTA). The Dorian Codex H_SAFE moves beyond the theoretical stage to become a real evolutionary experimental model: it is already in action via the Dorian Codex Clockwork and Dorian Codex Blackbox applications, which prove its implementation and technical viability. Released under a Creative Commons Open Source CC4 license, this booklet circulates freely within the global tech community, from independent academics and researchers to the major laboratories of Big Tech. It has thus rapidly and logically become a new reference in pre-AGI era research of the 2020s decade within the epistemology of AI. By its ability to resolve alignment paradoxes, the Dorian Codex H_SAFE stands as a major "game changer" marker in the field of experimental research in the history of AI.