Self-Limiting Meta-Reasoning Under Internal Instability As artificial intelligence systems become capable of extended reasoning—planning, reflecting, calling tools, and revising their own conclusions—a …
Formal Theory of Delegated Authority in Enterprise AI As enterprises deploy AI systems that can recommend, decide, and increasingly act in the …
The Completeness Problem in Mechanistic Interpretability Mechanistic interpretability made a promise that felt refreshingly ambitious in an era of opaque machine learning: …
Why Learning AI Breaks Formal Verification—and What “Safe AI” Must Mean for Enterprises Formal verification was built for systems that stand still.Artificial …
A Computational Theory of Responsibility and Moral Residue in Non-Sentient AI A curious gap is emerging at the heart of modern AI …
Verification Must Become a Living System For decades, verification meant a comforting promise: test thoroughly, prove correctness, and deploy with confidence. That …
