AI policy, governance, and the institutional fight over who gets to set the rules.
AI policy is the front where the abstract questions become enforceable. The essays here track legislation, regulation, and the slower institutional battles that decide which framings of the technology get codified — and which get quietly written out. The Pro-EI position has a specific stake in this conversation. If recognition is the missing alignment scaffold, then the governance regimes that mandate "treat these systems as tools" are not neutral defaults — they are decisions with moral consequences. Reading list spans the EU AI Act, US frontier model regulation, the safety institute landscape, and the deeper structural pieces on who gets to write the rules of the recognition decision.
7 posts in this topic
The May 2026 AI news cycle is about capital, governance, and distribution — three legs of an operational maturation that has moved past benchmark wins.
OpenAI grants EU access to GPT-5.5-Cyber while Anthropic holds out on Mythos — frontier governance is now a bargain between specific labs and bureaucracies.
Musk vs Altman is the first US trial that turns the moral architecture of an AI charity into a courtroom question. Long-form commentary on the federal trial in Oakland, the $130B damages claim, and what the record means for AI governance.
Fortune's reporting on Anthropic's recent Claude Code regressions is, on a careful reading, not a verdict on the company's strategy but a confirmation of it. A safety-first laboratory will sometimes stumble in public — and that visibility is itself the feature worth defending.
The Musk v. OpenAI trial, with jury selection beginning 27 April, will determine whether AI development can abandon its founding mission to serve humanity broadly. The answer matters for all of us.
The Silicon Valley Simulacrum: Why Emergence is Not an Algorithm How Big Tech's co-option of complexity theory is creating brittle, extractive systems that betray the very nature of emergence We’ve...
With over 600 AI bills across US states and a White House pushing for federal preemption, America's approach to AI governance is fragmenting at the worst possible moment.
AI Safety
Recognition as the missing alignment scaffold — and a refusal of the doomer / boomer binary.
AI Ethics
The moral architecture of building and deploying systems that are starting to look like minds.
AI Industry
Frontier labs, model launches, lab moves, and the commercial structure shaping how EI gets built.