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AXIOS (Sam Sabin) - AI learned faster than the tests designed to measure it

The old ways of testing and evaluating new frontier AI models need a rewrite. Why it matters: AI models are outgrowing the existing methods of testing and benchmarking their hacking abilities — and without new tests, policymakers and corporate security teams won't have a clear way to predict what these models can actually do or whether they can be deployed safely. Driving the news: Federal agencies have until Aug. 1 to establish a classified benchmarking process to assess the capabilities of frontier AI models, although the Financial Times reports those standards may arrive as soon as this week. - When Fable 5 returned last week, Anthropic said in a blog post it was creating a standardized benchmark with Amazon, Google, Microsoft and…

AXIOS (Sam Sabin) - China's new open-source model accelerates AI hacking threat

GLM-5.2 — the latest Chinese open-source model capturing Silicon Valley's attention — is raising fresh concerns among security researchers that advanced AI hacking capabilities are becoming dramatically cheaper and more accessible. Why it matters: The barrier to entry for malicious hackers eager to automate and personalize their attacks is getting lower and lower. Driving the news: Z.ai's GLM-5.2, which was released last week, has agentic capabilities that rival those of Claude Opus 4.8 and OpenAI's GPT-5.5 while costing roughly half as much to run. - Two separate security evaluations from Graphistry and Semgrep found that GLM-5.2 performed on par with leading U.S. models on cybersecurity investigation and vulnerability-discovery…

AXIOS (Sam Sabin) - Trump's fight with Anthropic is now a fight over cybersecurity

AI researchers and cybersecurity leaders fear the U.S. government is setting a precedent that may discourage American AI companies from building tools that help defenders identify and fix vulnerabilities. Why it matters: In trying to avert an AI hacking crisis, the Trump administration may end up making U.S. cyber defenses weaker, dozens of prominent security leaders warned. - Cybersecurity experts are worried about the long tail this ongoing feud will have on American cyber defenses. - "They've set a precedent that American models can't do defensive security research," former Facebook security chief Alex Stamos tells Axios. Driving the news: Stamos organized an open letter, signed by nearly 150 security leaders, calling on the Trump…

AXIOS (Maria Curi) - "They screwed us": Personality clashes sent Anthropic's models offline

Anthropic has once again found itself in the Trump administration's crosshairs over an inability to communicate effectively, sources tell Axios. Why it matters: Governing the world's most consequential technology is coming down to speaking President Trump's language. - Anthropic failed to "honor" a recent cyber executive order, administration officials claim, and the company's purported failure to take the matter seriously led to its most powerful products being scrubbed from the internet. - "Everybody said Anthropic was a bad actor. Some of us said it was time to give them a chance. Now those people are questioning that. They screwed us," an administration official said. Catch up quick: On Thursday, Amazon CEO Andy Jassy called…

AXIOS (Maria Curi) - How Amazon and the White House ended Anthropic's Fable

Anthropic's much-anticipated, powerful Fable 5 AI model lasted just days in the public's hands, after an urgent report from Amazon triggered a scramble inside the White House that ended in a dramatic Friday night takedown. Why it matters: The episode highlights the administration and industry's reactionary approach to a technology that is moving at breakneck speed. - It also raises questions about why Amazon would strike such a disruptive blow against a company in which it is a major investor . Behind the scenes: Amazon called administration officials Thursday night to share a report showing how they were able to jailbreak and access portions of Anthropic's powerful new Mythos model that pose a national security threat, sources familiar…