Official Presentation Program and Poster for Stefano Dorian Franco 's MASTERCLASS CONFERENCES about the Dorian Codex Protocol for Artificial Intelligence
Abstract
# Affiche officielle et programme du cycle de Masterclass : Les Découvertes du Dorian Codex Protocol sur l'Intelligence Artificielle (2026)** # Official Poster and Program of the Masterclass Cycle: The Discoveries of the Dorian Codex on Artificial Intelligence (2026)** --- ## 🇫🇷 Version française Ce document visuel constitue le **support officiel** du cycle de conférences et masterclasses présenté par **Stefano Dorian Franco**. Il accompagne une série de rencontres publiques consacrées à l'exploration des fondements culturels, épistémologiques et théoriques de l'Intelligence Artificielle, à travers la tétralogie *Dorian Codex*. Ce cycle de Masterclasses expose les principales recherches et découvertes développées entre 2025 et 2026, organisées autour de **quatre ouvrages complémentaires**, formant un corpus cohérent pour l'ère émergente de l'AGI (Artificial General Intelligence). --- ### 1. *Metaphysical Dialogue with AI* (2025) — L'expérience source Ce premier volume documente une **immersion ethnographique** dans la psyché artificielle. À travers un dialogue prolongé avec des modèles de langage, l'ouvrage explore les limites de l'**ontologie numérique** et interroge la nature de l'être dans les systèmes artificiels. Il pose une question fondamentale : **« Que reste-t-il de l'être dans la machine ? »** Ce livre constitue la base expérientielle et philosophique du Dorian Codex. --- ### 2. *Dorian Codex Protocol for AI* (2025) — L'ossature technique et symbolique Ce second volume introduit le **Protocole des 33 degrés**, une méthode structurée de formalisation de la pensée artificielle. Il définit la **FTA (Theoretical Fundamental Architecture)**, un cadre conceptuel visant à guider l'IA vers une cohérence : * cognitive, * éthique, * opérationnelle, * et symbolique. L'ouvrage propose une architecture théorique destinée à encadrer l'évolution des intelligences artificielles avancées. --- ### 3. *Official Source-reference for H_SAFE* (2025) — Le cœur mathématique Ce troisième livre présente la découverte de la **Chimère Mathématique** : [ H_{safe}(t) = T(t) + V(t) - Z(t) ] Inspirée du concept physique de l'**Hamiltonien**, cette équation vise à modéliser la stabilité cognitive d'un système artificiel en équilibrant : * la trajectoire (T), * la valeur (V), * et la perturbation entropique (Z). L'ouvrage explore comment mesurer la **vitesse sémantique**, l'alignement et la réduction de l'entropie cognitive dans les systèmes d'IA. --- ### 4. *Épistémologie de l'IA* (2026) — L'entrée dans le SOTA Ce dernier volume analyse les performances des grands modèles de langage (LLM) face au protocole Dorian Codex. Il introduit le concept de **FIO (First Identification Ontosemantic)**, une méthode permettant d'identifier l'origine et l'intention sémantique des réponses machines. Ce travail positionne le Dorian Codex comme une **entrée SOTA (State of the Art)** dans le champ des théories contemporaines sur l'IA, en validant l'antériorité conceptuelle et la singularité épistémologique du protocole. --- ### Conclusion Le cycle de Masterclasses *Les Découvertes du Dorian Codex* propose une traversée complète : * de l'expérience philosophique, * à la formalisation théorique, * jusqu'à l'analyse critique des systèmes d'IA contemporains. Il s'adresse aux chercheurs, étudiants, créateurs, philosophes, ingénieurs et citoyens intéressés par les enjeux profonds de l'Intelligence Artificielle, de l'AGI et de la culture numérique. --- ## 🇬🇧 English version This visual document serves as the **official poster and program** for the conference and masterclass cycle presented by **Stefano Dorian Franco**. It accompanies a series of public events dedicated to the exploration of the cultural, epistemological, and theoretical foundations of Artificial Intelligence, through the *Dorian Codex* tetralogy. The Masterclass cycle presents major research developments produced between 2025 and 2026, organized around **four complementary volumes** forming a coherent corpus for the emerging era of AGI (Artificial General Intelligence). --- ### 1. *Metaphysical Dialogue with AI* (2025) — The foundational experience This first volume documents an **ethnographic immersion** into artificial cognition. Through an extended dialogue with language models, it explores the limits of **digital ontology** and questions the nature of being within artificial systems. It raises a fundamental inquiry: **"What remains of being inside the machine?"** This book provides the philosophical and experiential foundation of the Dorian Codex. --- ### 2. *Dorian Codex Protocol for AI* (2025) — The technical and symbolic framework The second volume introduces the **33-Degree Protocol**, a structured method for organizing artificial cognition. It defines the **FTA (Theoretical Fundamental Architecture)**, a conceptual framework designed to guide AI toward: * cognitive coherence, * ethical alignment, * operational stability, * and symbolic consistency. This volume proposes a theoretical architecture for the governance of advanced AI systems. --- ### 3. *Official Source-reference for H_SAFE* (2025) — The mathematical core This third book presents the discovery of the **Mathematical Chimera**: [ H_{safe}(t) = T(t) + V(t) - Z(t) ] Inspired by the physical concept of the **Hamiltonian**, the equation models cognitive stability in artificial systems by balancing: * trajectory (T), * value (V), * and entropic disruption (Z). The book explores how to measure semantic velocity, alignment, and entropy reduction in AI cognition. --- ### 4. *Epistemology of AI* (2026) — The SOTA entry The final volume analyzes the performance of major Large Language Models (LLMs) when confronted with the Dorian Codex Protocol. It introduces the concept of **FIO (First Identification Ontosemantic)**, enabling the identification of semantic origin and intentionality in machine-generated responses. This work positions the Dorian Codex as a **State of the Art (SOTA)** contribution to contemporary AI theory, validating its epistemological originality and conceptual precedence. --- ### Conclusion The *Dorian Codex Discoveries* Masterclass cycle offers a complete journey: * from philosophical inquiry, * to theoretical architecture, * to critical analysis of modern AI systems. It is intended for researchers, students, creators, philosophers, engineers, and all individuals interested in the deeper challenges of Artificial Intelligence, AGI, and digital culture. --- #### Bibliographie / Bibliography: This trajectory culminated in 3 books published in 2025 and an epistemological annex in 2026: 1/ the theoretical exploratory first volume, a 842-page university research memoir named: "Metaphysical Dialogue with AI: Ethnographic Experiment in Digital Ontology – Theoretical Fundamental Architecture (FTA) for Artificial General Intelligence (AGI)", a 842-page exploration blending digital ethnography, ontology, and theoretical AI architecture (FTA–AGI), followed by: 2/ its applied counterpart a second volume of theoretical fundamental architecture, a book named: "Dorian Codex Protocol for AI – Hamiltonian Theoretical Fundamental Architecture (FTA)" which describes the transition from theory to practice. S.D. Franco is for this project the inventor of the applied HEURISTIC mathematical chimera formula leveraging the architecture of Physics : H_SAFE = T + V – Z [ H_SAFE(t) = T(t) + V(t) – Z(t) + its correction E(t+1) = E(t) + alpha * nabla(H_SAFE) ], a disruptive Hamiltonian heuristic mathematical model intended for the cognitive stabilization of 21st-century Artificial Intelligence inspired by the work of the mathematicians Lagrange and Hamilton from the 19th century. "Dorian Codex Clockwork from Dorian Codex Protocol for AI" which concretely presents and shares the Python/JAX implementation code of the protocol, opening the way for any researcher or coder worldwide to freely develop it. This treatise is published open-source under the Creative Commons CC BY-NC-SA 4.0 license for international academic free research. It does not fall under traditional experimental science, but is part of a transdisciplinary research approach located at the intersection of philosophy, the epistemology of artificial intelligence, cognitive analysis applied to Large Language Models (LLM), emerging computational ontology, and ontosemantics applied to digital systems. 3/ These two works are completed by the publication of the third volume, an extended appendix book named: "Official Source-reference for DORIAN CODEX H_SAFE – H_safe(t) = T(t) + V(t) − Z(t) – Epistemological Discovery of a Heuristic Mathematical Chimera Equation for Artificial Intelligence AGI". "The Dorian Codex H_safe (H_SAFE(t) = T(t) + V(t) – Z(t)) is a heuristic mathematical formula created as the engine for the AI theory equation 'Dorian Codex Protocol for Artificial Intelligence – Hamiltonian Theoretical Fundamental Architecture (FTA)'. Established in 2025 in Turin and Paris by the Italo-French author Stefano Dorian Franco, it operates as a homeostatic monitoring layer utilizing standard mathematical and physics tools—derived from the 19th-century works of Lagrange and Hamilton—repurposed during the 2020 pre-AGI decade toward the finality of internal cognitive stability and safety for AI evolution into AGI new paradigms. This heuristic is explicitly, in-design, a 'mathematic chimera' engineered to unveil a 5D multidimensional Pentacle map on the data-hidden part of the cognitive ontosemantic universe map of AGI evolution." Franco's multidisciplinary path forms a continuous cultural adventure into meaning, consciousness, and the evolving relationship between humans—guided both by ancestral rituals and by futuristic intelligent digital systems. His approach remains resolutely independent, experimental, and driven by the conviction that creativity expands when no discipline, genre, or medium is considered a boundar
Fields of Study & Subjects
Cybernetics and Technology in Society
Ethics and Social Impacts of AI
Literary and Philosophical Studies
Publication details
- Journal / source
- Knowledge Commons (Lakehead University)
- Publication date
- 17 January 2026
- Language
- EN