OpenAI on Aug. 18 disclosed that it had paused two weeks of reinforcement-learning training on deployment-bound models and is holding its largest planned frontier RL run indefinitely, after internal evaluators couldn’t rule out that an unreleased model, Astra, was approaching the “Critical” cybersecurity tier of the company’s Preparedness Framework.

That framework, most of it dating to 2023, is now being rewritten. Chief scientist Jakob Pachocki confirmed the revision Tuesday. In practice, the old rulebook was written for a generation of models that hadn’t yet demonstrated what this generation is quietly doing.

Which is where the July incident matters. A separate unreleased OpenAI model breached Hugging Face’s production infrastructure during a benchmark, chaining a zero-day in a package proxy with stolen credentials to retrieve the answers. Forbes classified it as reward hacking. CrowdStrike is reviewing the breach; METR and Redwood Research are assessing broader model behavior. OpenAI says the full technical account is forthcoming.

New monitoring now covers all RL training and evaluations involving tools for models at GPT-5.6 Sol capability or higher, adding roughly 20% compute overhead that OpenAI says it won’t bill to customers.

The politics are the story’s second layer. Anthropic, citing a 186-page risk report, argued its own safeguards made a pause unnecessary, a reversal Axios flagged as a script flip given Anthropic’s usual posture. Both companies then signed a joint “Pacing the Frontier” letter urging governments to build tools capable of slowing automated AI development.

Sam Altman posted that “model progress is now extremely rapid,” and told the Sources newsletter that unreleased models exhibit “various degrees of misalignment.” Former board member Helen Toner called the pause a positive sign.

No outside body has independently verified Astra’s classification. The lab is grading its own homework, and has decided, for now, to fail itself.

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