Desk
Policy, law, and governance of AI systems.
The Verge’s Sean Hollister catalogs years of AI CEOs asking for guardrails—and how little binding law followed—while today’s panic finally tests whether the rhetoric was ever serious.
At Dreamforce, Jensen Huang cast AI safety as an engineering problem solvable by existing law and market discipline—rejecting the “alien mind” framing and new AI-specific regulation.
Amodei’s three-step “pace the frontier” pitch won rival CEOs’ nods — and immediately drew cartel and safety-washing accusations that only measurable teeth can settle.
Amodei’s ‘pace the frontier’ essay translates into a three-step plan—and The Verge’s read puts recursive self-improvement and this summer’s agent swarm at the center of why he’s hitting the brakes now.
OpenAI asked Congress if an industry-wide AI slowdown would even be legal — an admission that solo braking loses, and that a pause is only as real as the cheaters you can catch.
OpenAI has been asking Congress whether an industry-wide slowdown on frontier development would survive antitrust law—because voluntary coordination may look like collusion.
A pre-training researcher walks out of Anthropic — and the citeable story is coordination failure: the race is still stoppable now, but agency plus margin math is closing the window.
OpenAI's Chris Lehane says the policy window is open: mandatory federal frontier safety rules, four new California bill endorsements, industry monitoring standards, and global bars on when development should slow.
OpenBMB's 2.52B dense MiniCPM5-2B posts a 53.9 average across 34 benchmarks and ships Apache-2.0 weights plus training data—strongest where agents call tools, weaker on textbook knowledge.
Cook hands Apple to hardware chief Ternus days before a phone event, while Nvidia keeps buying and funding its way up the AI stack. Two succession stories, one about products and one about power.
A vendor case study with a useful admission buried in it: Gilbert + Tobin got 87 percent active usage by refusing to set usage targets and sending trainers into individual team meetings.
New York’s AI policy debate is becoming a test of whether child-safety rules can protect minors without normalizing identity checks for everyone.