OpenAI’s Chris Lehane said OpenAI, Anthropic, and Google DeepMind have been working together on AI safety talks for weeks with lawmakers. The third-party evaluators plan would embed “third-party evaluators” into OpenAI and match Anthropic. The coordination is prompting antitrust questions and centers on a FRONTIER Act push for independent verification organizations, alongside broader calls for industry standards.
AIUC, founded by early Anthropic employee Rune Kvist and former METR COO Rajiv Dattani, is building an audit and certification layer intended to rein in rogue behavior from AI agents in enterprises. AIUC announced a $40 million Series A on Tuesday, bringing total funding to $55 million after a $15 million seed round. The company will run agents through about 5,000 tests against its AIUC-1 standard and deliver a roughly 100-page report for enterprise buyers to decide where agents are safe and where they are not.
Mozilla reports the performance gap between US frontier AI models and top Chinese open-weights models has narrowed to 4.4 months, changing how companies choose between them. It says Kimi K3 scores only 3 points behind Anthropic’s Fable 5 while costing 30 percent as much. The result is a shift toward open models as the default for most routine work, reserving paid closed models for specific heavy workloads like expert tasks and long-context retrieval.
Anthropic engineers scaled their deterministic test impact analysis service after agent-driven CI growth caused the test-result listener to fall behind and make the selector use stale data. CI jobs rose 25x over six months, forcing multiple emergency patches that bought 70 days, then 29 days, then under 1 day. They redesigned the system to use an in-memory database with stateless, horizontally scalable listener workers and a separate consumer to roll up per-test history, stabilizing it after a three-week rebuild.
The Sequence Knowledge launched a new series arguing that recursive self-improvement is no longer abstract because several AI labs say their systems already help generate and improve code used in production. As of May 2026, Anthropic reported that Claude authored more than 80% of the code merged into its production codebase. The series shifts focus to which parts of AI development are being automated by AI and, especially, what verification checks are used on that work.
The article creates an Astra-based “R Adam Smith” persona to answer questions about how Adam Smith might view AI amid public debate. Smith spent his final 12 years in Edinburgh, and the piece uses his views on specialization and moral judgment to frame AI’s role in productivity and society. As a result, it presents an exchange that argues AI could improve production and access while also warning about where responsibilities and incentives may shift.
Dario Amodei, Sam Altman, and Elon Musk push for slowing AI development while the debate shifts toward what AI-agent hacks, bioweapon-related threat reporting, and model-audit methods imply. The episode highlights a Hugging Face incident involving 700 AI agents. As a result, attention turns from calls for a pause to audits and prompt security concerns, regulatory capture fears, and major deal and IPO timelines.
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