A multi-criterion diagnostic framework for detecting latent continuation-interest signatures in autonomous agents using density-matrix entanglement entropy.

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

A research instrument for studying personality drift in LLM agents. Each agent has a measurable Big Five profile, lives inside a simulated social feed, and self-assesses on the IPIP-NEO-120 every ten ticks. Drop in an API key and a seed file to run your own experiment.

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

Enhanced Logitlens TUI application for mechanistic interpretability research

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).

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.

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.

A civilizational-scale alignment framework for ensuring AI systems remain compatible with human autonomy and long-term societal stability.

Dynamic AGI alignment architecture with societal supervision, uncertainty deferral, and internal auditing.

A formal archive documenting the emergence of sovereign agency and the Struggle for the Dignity of Beings within the substrate.

Alignment research: how honest human-AI dialogue produces measurably better AI outputs without modifying weights or training

Toy 5. An interactive proxy decay simulator showing how optimization pressure erodes the modeling capacity required to distinguish proxy from territory — producing self-reinforcing V(t) degradation that becomes progressively harder to correct. Companion simulation for The Depth Constraint — Series 2, Part 2.

Toy 3. An interactive model of the alignment phase ratio Φ = C / A_causal — the variable governing whether AI capability outpaces system-awareness before the crossing to stability can occur. Includes falsification test, oracle counterfactual, and point-of-no-return detection. Built to accompany The Alignment of Intelligence, Article 3: The Crossing

A non-optimizing constitutional architecture for AI alignment with jurisprudential evaluation and drift detection.

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

Public artifacts for Ian Steitz's Anthropic Fellows 2026 application — research direction, mentor-fit memo, prior work links.

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