Anthropic’s Responsible Scaling Policy and the AI Futures Project’s Plan A are not rival answers to one question. They bind to different objects, cost different amounts to build, and break in different places. Two governance proposals arrived this year. Anthropic has revised its Responsible Scaling Policy four times since the February rewrite. The AI Futures Project published AI 2040: Plan A, a recommendation rather than a forecast: a US–China agreement in 2029, total research transparency, ma
Code After: Law, Accounting, and the Governance of Artificial Intelligence (v0.9, April 2026) is the foundation of the project. It is an open-access manuscript of roughly 55,000 words that diagnoses four structural gaps through which the governance of AI fails and proposes a constitutional framework designed to close them. It was released through Zenodo with a persistent DOI and is also shared through SSRN and ResearchGate. It has begun to draw responses from scholars and practitioners across la