Sources: the White House is in advanced talks with AI companies on voluntary standards and new model release timelines, to be announced as soon as next week
Guidance to be announced as soon as next week after government intervention in Anthropic and OpenAI rollouts
Financial TimesGeorge Hammond
Context & Ripple Effects
The reported talks build on a May draft proposal for a voluntary framework that would give government agencies early access to models before public release. Subsequent White House–Anthropic discussions focused more specifically on assessing the severity of AI security flaws, suggesting the negotiations have moved from broad oversight concepts toward operational release criteria.
This is part of a longer White House effort to put safeguards around powerful-model development, following earlier guidance and reporting expectations for AI developers. Anthropic and OpenAI are central because the current discussions reportedly concern their rollout processes directly.
First-order effects
Anthropic, OpenAI and other participating AI companies could need to align upcoming model launches with voluntary White House standards and agreed release timelines.
The White House would gain a more formal channel to review or receive information about advanced models before wider public deployment, even if the arrangement remains voluntary.
Second-order effects
A shared voluntary process could pressure frontier-model rivals to adopt comparable security assessment and pre-release review practices, whether or not they are initial participants.
Release planning may become more dependent on security-evaluation milestones and government engagement, making launch timing a governance as well as a product decision.
Third-order effects
If this framework becomes the practical baseline for major developers, voluntary commitments could function as a de facto US governance layer for frontier-model releases before any binding regime is in place.
The durability of that model will depend on whether standards and participation remain consistent across companies; uneven adoption could instead create different compliance expectations among frontier labs.
The trend: Frontier AI oversight is shifting from broad safety principles toward pre-release processes that link model security assessments, government access, and deployment timing.
Financial Times: - USG is in talks with AI companies (including at least Anthropic, OpenAI and Google) to create *voluntary* standards for release of new AI models, to be announced “as soon as next week”. - Standards will include: (i) benchmarks for models with “cutting-edge
FT: USG next week will release voluntary standards for frontier models, to streamline launches — benchmarks — duration of reviews — what is “frontier” — The standard only ships if the participants can reach consensus — www.ft.com/content/0bb7...
Update, based on Anthropic's blog post: 1. Anthropic will work with Project Glasswing partners on a consensus framework for: (i) assessing the severity of AI jailbreaks, and (ii) how AI developers should respond to them. 2. Anthropic will provide to the USG early access to
Louder for the people in the back: > inform the USG of “any malicious activity” The surveillance state strikes again. Wait till you find out all the ADDITIONAL backdoors they've put into their model responses, triggered by their broken classifiers.
This is exactly what the gov was going for all along: A backdoor to every request you make to any LLM provider so they can analyze everything you do. OpenRouter and similar are next up. They will be required to do this for OS models for “safety reasons”. Dystopian AF.
Anthropic has agreed to: 1. “proactively detect and address security risks associated with [Fable 5 and Mythos 5]” - How is Anthropic required to “proactively” detect these security risks? Not publicly disclosed. 2. work diligently with the [USG] on: (1) protocols and
NEW: The White House is easing restrictions on Anthropic's most advanced AI models weeks after ordering the company to suspend access for foreign nationals. — Scoop from @hugolowell.bsky.social