US data firms sell about $500 million in AI training environments to Chinese labs
A ChinaTalk investigation reports that US data vendors including Mercor, Surge AI and AfterQuery are selling roughly half a billion dollars of AI training data to Chinese labs, including RL environments built earlier for OpenAI or Anthropic. At least nine firms are involved and export controls barely apply.
This exposes a gap in US export controls that could let Chinese labs benefit from techniques developed for US frontier models.
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New York's AI safety law takes effect, adding oversight for OpenAI and Anthropic
New York is preparing to enforce its AI safety law, which requires major AI developers to register, disclose safety practices and report critical incidents. Companies that fail to comply face fines.
Why it mattersLarge AI developers now face binding state-level safety reporting rules that could become a model for other jurisdictions.
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Anthropic sets IPO price range that could value it at up to $1.4 trillion
Anthropic confirmed an IPO price range of $70 to $78 per share, which would value the company at as much as $1.4 trillion, below earlier expectations of up to $2 trillion. Shares could start trading as soon as next week, according to reports.
Why it mattersThis would be one of the largest IPOs ever and a key test of how public markets value frontier AI labs.
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Anthropic releases Claude Fable 5.2 and Mythos 5.2 and cuts API prices by 20%
Anthropic introduced Claude Fable 5.2 and Mythos 5.2, which share one underlying model with different safeguards and bring gains in coding, reasoning and vision. Fable is broadly available, while Mythos is limited to vetted cybersecurity and life sciences groups, and both now cost $8 per million input tokens and $40 per million output tokens.
Why it mattersDevelopers get a stronger coding model at a lower price, and the split release shows how labs are gating the most capable models for sensitive uses.
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DeepMind's AlphaProof Code formally verifies Signal's cryptographic core in four weeks
Google DeepMind's AlphaProof Code mathematically verified the core cryptographic code of Signal in four weeks, a task that usually takes years, with AI agents writing more than six million lines of proof code. DeepMind plans to apply the method to critical infrastructure such as power grids and medical devices.
Why it mattersAI could make formal proof of software correctness practical for security-critical systems that people rely on every day.
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Anthropic says its AI ported Claude to AMD chips in three days, weakening Nvidia's CUDA lock-in
Anthropic says its in-house model Mythos moved Claude onto AMD GPUs in three days with almost no human help, a job that normally takes months. Claude now runs on four chip families as the company seeks lower costs and less dependence on single vendors.
Why it mattersIf AI can cheaply port software between chip makers, Nvidia's software advantage shrinks and hardware competition grows.
