Mapping residual EU AI Act compliance work after leading AI governance frameworks. Compares a multi-ISO stack (ISO/IEC 42001 and companions, including ISO 37301), IAPP AIGP and CIPP/E, and the NIST AI RMF (with generative-AI profile). By article-normalized weight, about 58% of the Act is public/institutional machinery; of the company-facing remainder, about 78% is product residual and about 22% is management-system / AI-governance work. On that MS/gov share, multi-ISO is the main structural approach for about 60% and reaches cumulative coverage of about 96%. Not legal advice.
Background. Publishing has settled on one answer to generative AI: an AI cannot be an author, and its use must be disclosed. Problem. Disclosure asks the wrong question. A statement that AI was used cannot be falsified in either direction, and a large recent study suggests it is…
This paper presents an independent external assessment of OpenAI — the OpenAI Group PBC, the controlling OpenAI Foundation, and its publicly released GPT-series and o-series models — benchmarked against four governance frameworks: the EU AI Act (including its general-purpose AI a…
Testing the Transition from AI Advantage to Practical Dependence: A Minimal Knowledge-Work Pilot Protocol presents a preregistration-ready experimental design for testing two early mechanisms through which a local generative-AI advantage might contribute to practical dependence i…
Standard correlation witnesses — spatial Bell/CHSH inequalities, temporal Leggett–Garg K₃, and KCBS contextuality — are known to detect nonstabilizerness ("magic") in some settings. We report a worked example, a k-resolved nonstabilizerness map of the SU(2)_k anyon braid-represen…
In 2026, humanoid robots are transitioning from laboratories to factories and households. Tesla Optimus announced the official start of mass production by the end of 2026, with a long-term annual production capacity target of 1 million units at the Fremont factory; Figure AI plan…
We report a real-space resolution of the full modular data of a doubled-Fibonacci Levin–Wen string-net, obtained by exact diagonalization on finite torus supercells (2×2, 2×3, 3×3), together with a sharply scoped negative result for the dynamical half of the same program — and we…