
The Trump administration’s AI testing framework for cybersecurity risks excludes open models and lacks clear definitions for "national security risk" and "state-of-the-art" capabilities, creating ambiguity in the assessment process. The framework requires AI companies to share frontier models with the government before release but does not specify how to release models without triggering restrictions, leaving smaller providers uncertain about compliance. The lack of clarity raises concerns about the framework’s effectiveness in addressing cybersecurity risks from advanced AI.
Imagine a trio of bumbling, English lads who fantasize about becoming megastars while knocking back a few pints in a grimy pub somewhere in London. Picture the guys chortling and trying to one-up each other's idealized visions of the future with a series of increasingly glitzy fantasies in which their fame leads to access to […]

Today on Decoder, I’m talking with Hayden Field, The Verge’s senior AI reporter, about a question that’s been rocketing around the tech industry for the past week: Is Google losing the AI race? That’s because last week Google announced a bombshell reorganization of its AI division, Google DeepMind. Jeff Dean, the company’s chief scientist, is […]

Microsoft is finally beginning to combine its consumer and commercial Copilot AI assistants into a single "super app" interface, starting with the Copilot and Microsoft 365 Copilot apps. Both personal and work accounts will be moved to the new unified app, which recycles the "Microsoft Copilot" name but features an updated app icon. The single […]
