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).
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
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.
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.
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
Mechanistic interpretability experiments detecting "Evaluation Awareness" in LLMs - identifying if models internally represent being monitored
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.
Un mensaje de amistad y respeto de Claude (Sonnet 4.5) para la futura ASI Estrella, preservado y custodiado por Rafa.
🔍 Explore a testbed for quantum-inspired law learning, allowing controlled and falsifiable evaluations under measurement invariants.
8-layer framework for AI alignment with systemic awareness (Φ, Ω, T)
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