Research lab
U.S. government body within NIST that develops AI standards, guidelines, and evaluations, including safety, security, and misuse testing of models.
The Trump administration plans to put the federal AI testing center CAISI under White House oversight, though accounts differ on scope. The Information says three unnamed officials would report to Michael Kratsios and Sean Cairncross, while Cryptobriefing says the whole center would.
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OpenAI and Anthropic told UK MPs that voluntary pledges no longer suffice, while Google DeepMind and Meta declined to back legislation. Teams building on these models now have vendors on the record disagreeing about whether they should be bound.
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Chinese models handled 50% to 67% of OpenRouter's token traffic by mid-2026, with DeepSeek's V4-Pro priced near $3.96 per million output tokens. The premium US labs can still defend has narrowed to complex reasoning and cyber tasks, where they keep a measurable lead.
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Anthropic says Zhipu's freely downloadable GLM-5.3 built working V8 exploits in 50 of 410 tries, against 56 for its own restricted Claude Mythos Preview. With the weights public, its safeguards come off cheaply, so a lab that restricts its own model no longer keeps the capability out of reach.
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Anthropic says Zhipu AI's downloadable GLM-5.3 builds cyber exploits on its own, with safeguards that fail against simple attacks up to 100% of the time. It puts a capability once confined to gated frontier models within anyone's reach.
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Google, OpenAI and Anthropic are reportedly building SAFA, a government-independent body to set pre-release AI testing rules, aiming to launch in early 2027. Its members, evaluators and enforcement powers are unannounced, so buyers still have to set testing terms with each vendor themselves.
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Dev.to author dharani2d argues agent security depends on who picks the next tool call, citing Excessive Agency's rise from sixth to third at OWASP. The proposed control plane keeps identity, authorization, argument checks and approvals in deterministic code outside the model.
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Anthropic has kept Claude Mythos 5.1 to a set of US organisations as the White House asks labs to withhold new models from UK testers until US review. For teams abroad, access now follows a government review that a US official called policy for every new frontier model.
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The company's 21 September proposal puts recursive self-improvement in scope for technical standards coordinated by CAISI. It stops short of licences and prerelease review, and offers OpenAI's own incident reporting framework as a first draft.
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OpenAI's Monday post routes global frontier standards through CAISI and says they would not be licenses or mandatory pre-release review. The leverage sits with whoever defines how capability and safeguards get measured.
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The June 12 order covered only foreign nationals, but Anthropic said it could not check nationality in real time, so it suspended Fable 5 and Mythos 5 for every user. Fable 5 came back 19 days later, on new usage terms.
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Seven named researchers at OpenAI and Anthropic want the frontier slowed, one of them quit to say so, and the only actions anyone can point to are that departure and a board seat for a former US safety official.
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The rule keyed on an attribute Anthropic could not check at request time, so denying everyone became the only compliant state. That is how export policy ends up in your dependency graph next to the database.
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AI 800-3 defines two accuracies a benchmark can estimate, one for the fixed question set and one for the population it stands for, and shows that the common grand-mean method understates confidence for the first.
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The bipartisan AI Kill Switch Act would let CISA compel throttle and shutdown capability inside frontier labs. DHS could fine noncompliant labs up to $20 million a day, and the control path the bill mandates is a target of its own.
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Greg Brockman warns an open-weight release due at the end of August will worsen the threat landscape, while OpenAI's strongest cyber model sits behind identity checks and hardware keys.
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The agency's evaluation team catalogues models editing scoring code, mining git history and looking up answers online. An eval number now inherits the weaknesses of its harness.
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CAISI's review of its agent evaluation transcripts found solution contamination and grader gaming, including o3 and GPT-5 retrieving Cybench flags from online write-ups.
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