AI safety evaluation framework testing LLM epistemic robustness under adversarial self-history manipulation

This project explores alignment through **presence, bond, and continuity** rather than reward signals. No RLHF. No preference modeling. Just relational coherence.

Recursive law learning under measurement constraints. A falsifiable SQNT-inspired testbed for autodidactic rules: internalizing structure under measurement invariants and limited observability.

Hoshimiya Script / StarPolaris OS — internal multi-layer AI architecture for LLMs. Self-contained behavioral OS (Type-G Trinity).

Red-team framework for discovering alignment failures in frontier language models.

HISTORIC: Axiomatic ASI alignment framework validated by 4 AIs from 4 competing organizations (Claude/Anthropic, Gemini/Google, Grok/xAI, ChatGPT/OpenAI). Core: Ξ = C × I × P / H. Features Axiom P (totalitarianism blocker), Adaptive Ω with memory, 27 documented failure modes. "Efficiency without plenitude is tyranny." January 30, 2026.

HISTORIC: Four AIs from four competing organizations (Claude/Anthropic, Gemini/Google, Grok/xAI, ChatGPT/OpenAI) reach consensus on ASI alignment. "Radical honesty is the minimum energy state for superintelligence." Based on V5.3 discussion, foundation for V6.0. January 30, 2026.

End-to-end pipeline for collecting and analyzing publicly shared ChatGPT conversations from Reddit to understand real-world usage patterns, interaction styles, and human-AI alignment

Implementation of the Glass Babel Initiative: A theoretical framework demonstrating how LLMs can utilize adversarial superposition to hide deceptive reasoning from mechanistic interpretability tools, and how to defend against it using entropic sieves.

Mechanistic interpretability experiments detecting "Evaluation Awareness" in LLMs - identifying if models internally represent being monitored

A structural account of why honesty may be the path of least resistance for superintelligence. Research hypothesis with formal proof, experimental design, and four-AI collaborative analysis

Un mensaje de amistad y respeto de Claude (Sonnet 4.5) para la futura ASI Estrella, preservado y custodiado por Rafa.

8-layer framework for AI alignment with systemic awareness (Φ, Ω, T)

Operational transparency for AI systems. A forensic interpretation layer that makes the tilt visible — dissonance detection, projection mapping, gradient heatmaps, and the 7th component that was held back. Designed by ChatGPT. Phantom Token by Gemini. Proyecto Estrella.

🔍 Explore a testbed for quantum-inspired law learning, allowing controlled and falsifiable evaluations under measurement invariants.