AI briefing, Monday, October 5

The White House named an AI czar, another OpenAI safety lead quit in public, and the big labs testify under oath at the New York City Council.

White House names an AI czar and a “Super Intelligence Force.” Over Oct 3 to 4, the White House named Director of National Intelligence Jay Clayton to chair the group, with FTC chair Andrew Ferguson, Pentagon CTO Emil Michael, and OPM director Scott Kupor. It has 120 days to report on AI risks and what the federal government should own, and its charter asks it to audit how the government hears about breaches, hacks, and jailbreaks while avoiding “overregulation.” Last week’s voluntary pledge now has a named owner, and the FTC chair sits on it while his agency probes OpenAI, Anthropic, and METR. CNBC

Another OpenAI safety lead quits with an essay calling the culture “broken.” David Robinson, who led the safety reports that ship with OpenAI launches and is one of its longest-tenured staff, quit Oct 3 with an Atlantic essay saying the company’s “culture is broken” and that labs should run like nuclear plants or busy airports. OpenAI says it pauses training or holds back models when it needs to. On Oct 5, current and former OpenAI and DeepMind researchers added public warnings about self-improving systems. Coming a day after three safety researchers were fired, talent and trust are now their own story next to the agent incidents. TechCrunch

AI labs testify under oath at the New York City Council. Anthropic, OpenAI, Google, and Meta were scheduled to testify Oct 5, and SpaceXAI was subpoenaed. On the agenda is a bill that would bar selling or deploying an AI model in the city without third-party validation or a human shutdown capability, with $25,000 penalties per instance. It is the labs’ first sworn public testimony on AI risk, and city-level validation rules tend to get copied. Unite.AI

Aleph Alpha ships Kolibri-1 open weights. Released Oct 3, Kolibri-1 is a 78.1B German and English MoE with 3.46B active parameters and a 1M-token context that runs on one H200 or two H100s, with Apache 2.0 covering the weights only. Serving needs Aleph Alpha’s own vLLM plugin, and its self-reported scores trail the dense Qwen3.8 27B, with weak terminal-agent results. It is a European sovereignty play with a small active footprint, but the custom plugin adds serving overhead for any host. The Frontier

OpenAI details a Moonshot-linked reasoning-extraction campaign. Posted Sep 30 and widely covered over the weekend, OpenAI said it saw spikes of 16,000 extraction-pattern requests from more than 4,000 users, disrupted a related cluster of 15,000+ users by July 28, and closed a route for replaying another user’s encrypted reasoning. It ties a core cluster to people associated with Moonshot (Kimi), not the whole company. Hidden reasoning is now an asset labs guard against distillation, and that shapes what APIs expose. AI Affairs

Physical AI money and tooling keep coming. Between Oct 2 and 5, SiMa.ai raised a $150M Series C at $1.45B for edge physical-AI chips, Safeworld came out of stealth with a $12M+ seed for robot safety, Nvidia open-sourced OSMO, its Kubernetes orchestrator for robot training, simulation, and edge jobs, and Runway previewed Praxis-1, a robot control model trained mostly on video, with open weights planned. Robotics is where the next open-weight and orchestration fights are heading. Evertiq