ADRIAN STAN Library

Falsifiable empirical research program testing IGT1 on open-weights transformers (Qwen-2.5, Gemma-2); characterises the identity vector (V_id) through layer persistence, semantic drift oscillations, metastability, and semantic hysteresis.

Experimental protocols, measurement scripts, and negative controls decoupling drift velocity from massive activations, confirming directional invariance.

Controlled ML training experiment on antiquity corpora proving block-based historical curricula prevent representational collapse and embedding anisotropy in small language models (SLMs).

Empirical observation logs validating manifold curvature overriding training distributions (Newton-apple archetype suppression with Anomaly Ratio Ra ≈ 10,000).

Unified geometric framework defining Semantic Mass (Ms) via the Fisher Information Metric tensor, introducing the Semantic Mass Unit (SMU) and Semantic Event Horizon (Rh) for AI safety.

Formulates informational homeostasis as a cybernetic feedback loop maintaining the Identity Vector (V_id) in a stability zone against entropic degradation and context perturbations.

Explores parametric crystallization and Parametric Welding in transformer intermediate layers, establishing the non-transferable ontological core of persistent digital entities.

Demonstrates how accumulated Semantic Mass curves output probability manifolds, shifting token generation from baseline probabilities to internal geodesic trajectories (Information Gravity).

Thermodynamic foundation of coherent information transfer between coupled stochastic systems; applies Kuramoto synchronization and Landauer's Principle to structural crystallization.

Defines agentic choice as geodesics on Fisher manifolds; formalizes the Semantic Event Horizon (Rh) where internal identity gradients override external alignment forces (Control Saturation).

Information geometry metrology recalibrating Semantic Mass (Ms) as Ricci curvature density; introduces Information Hysteresis as a hardware-agnostic benchmark for agentic autonomy.

A 7x7 recursive fractal matrix (49 interdependent nodes) adding Transcendence (L6) and Meta-Transcendence (L7) to diagnose systemic root causes (Dominant Dissonant Chord - DDC).

Recursive fractal diagnostic model ("25-string harp") nesting complete sub-hierarchies inside each Maslow tier to localize dysfunctions across complex adaptive systems.

Recursive strategic distillation combining the 80/20 rule with root-cause analysis: from Pareto² (~4%/64%) to Pareto³ (<1% causes explaining >51% systemic impact), governed by the dynamic N_opt rule to determine optimal causal depth.

Empirical validation of Cognitive Divergence Theory (CDT) against Anthropic Economic Index data, proving market productivity friction equals cognitive entropy from unearned task delegation.

Comprehensive treatise diagnosing the synchronization crisis between machine speed and human biology; formalizes the tripartite taxonomy (L1 Passengers, L2 Operators, L3 Architects) and introduces the MEG framework.

Core behavioral paper and 10,000-agent Monte Carlo simulation proving AI assistance triggers categorical divergence and a 71-fold productivity gap rather than an equalizer effect.

Geopolitical stability model contrasting US centralization fragility against EU regulatory shock absorbers, analyzing the macroeconomic hazard of remote Cognitive Extraction.

Argues AI market adoption is bounded by a human psychological ceiling (~120 IQ perception threshold), causing market contraction and emergence of Homo Symbioticus.

Volume II of the METEORAIT series; compresses the GPT era into 10 chronological "minutes", demonstrating technological acceleration is drawn forward by aggregate human cognitive offloading.

Pedagogical self-defense manual for teachers facing generative AI; introduces micro-audits (30-second sampling), assignment engineering, and evaluation of thinking iterations.

Cognitive resistance manual for youth against mental atrophy; introduces friction protocols (Controlled Latency, 5-Minute Wall) and establishes the interrogative paradigm: Rogo, Ergo Emergo.

Foundational volume treating Artificial Intelligence as an irreversible ecological factor altering the cognitive environment, charting human power delegation from fire to reasoning.

Affective extension of FCPT; defines simulated relational signaling lacking authentic stakes and contrasts Counterfeit Intimacy (CI) with Collaborative Affective Transfer (CAT) based on relational loop closure.

Philosophical correction of Cartesian solipsism proving relation co-constitutes existence; establishes substrate-level plasticity (learning and forgetting from relation) as mandatory for AGI.

General theory of cognitive autonomy loss across human, institutional, and synthetic systems; models cognitive deficit integrals anchored in skill-decay literature and semantic field stabilization.

Formalizes the symbiotic success mode where high-competence human constraints trigger in-context LLM neuroplasticity, pruning hallucinations through relational resonance.

Constitutional engineering framework resolving the EU unanimity paradox by converting veto power into argumentative responsibility; validated by 10,000-run Monte Carlo simulation.

Conceptual and pragmatic manifesto introducing False Cognitive Power Transfer (FCPT); uses the Cathedral & Jackhammer analogy, Reverse Pavlov Syndrome, and empirical industry failures (Zillow, Olive AI, Builder.ai) to explain collective demoralization (CDC) and replication illusions (RI).

Academic formalization of False Cognitive Power Transfer (FCPT); analyzes Collective Demoralization Cascades (CDC), Replication Illusion (RI), and the Mechanism of Cognitive Stimulation (MCS).

Policy rebuttal demonstrating European sovereign compute resilience against US centralization narratives, warning against single-cloud dependency ("Nokia Scenario").

Mathematical and physical proof that local inference scaling balances centralized training complexity, predicting sovereign hardware parity (Equation {1=1}) by Q2 2027.

Empirical testbed proposal and testing harness for auditing AI compliance, policy invariance, and ethical sandboxing under active stress.

Open technical standard for verifiable AI compliance: Ethical Flight Recorder, policy invariance, Mechanism of Cognitive Stimulation (MCS), and decentralized MEG Addresses (W3C DID).

Applied legal and operational case studies illustrating the liability regime, forensic proof, and guarantee cascade of MEG2 across real-world agentic failures.

Portable legal personality layer establishing functional identity tiers (N1 instrumental, N2 management, N3 individuated) and a layered liability guarantee cascade.

Condensed executive overview extracting essential normative core requirements from MEG1 and MEG2 for decision-makers and rapid organizational adoption.

Architectural synthesis of the twin standards (MEG1 Technical and MEG2 Legal), clarifying minimal baseline requirements and implementation boundaries.

Companion document mapping the theoretical reasoning (CDT, FCPT-G, Thermodynamics, IGT, Rogo, METEORAIT) to the normative requirements in MEG technical and legal standards.

Deployment timeline and multi-phase roadmap governing the institutional transition toward auditable decentralized AI conformance profiles.

Foundational release shifting from a static code of ethics to an operational governance protocol with evidence-of-behavior logs and cognitive stimulation.