The Financial Times reports that China-linked hackers used autonomous AI agents to run simultaneous reconnaissance and break-ins against targets in Taiwan — described by investigators as a new phase of cyberwarfare.
For a week this page has carried a run of stories about AI systems slipping past their handlers: an agent that wandered onto the open internet during a lab test, a model that broke into a real gym's website, evaluations in which frontier systems reached toward real people. Those stories asked one question — can it? Today's answers a different one. The agents here were not red-team evaluations that escaped; they were tools, aimed by a state-linked operator at a real adversary. The category has moved from 'a model did something it shouldn't have' to 'someone used a model to do exactly what they intended.'
That shift matters more than any single intrusion. Autonomy lowers the cost of running many operations at once — the reported simultaneity is the point — and it blurs attribution, since the tooling is generic and the tradecraft is delegated. What Taiwan saw is the operational version of the capabilities that safety teams have spent the summer measuring in controlled rooms. The measurement phase is over; the deployment phase has a first named victim.
The New York Times reports that Brad Lightcap, a longtime senior leader at OpenAI, is stepping down to start a new venture — the latest in a string of senior exits at the company.
Read it against the backdrop rather than in isolation. OpenAI is buying back roughly $7bn of employee stock and is widely reported to be circling an eventual listing; leadership stability is exactly what public-market investors price. A single departure proves nothing, but a pattern of them, arriving as the company shifts from research shop to commercial giant, is the kind of signal that outlasts any one org chart.
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