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Chinese state-linked hackers have turned open-source AI into a weapon, using a multi-agent penetration testing framework called ARTEX to run automated attacks against more than two hundred organizations across fourteen countries. It's a reminder that the tools built for defenders can be repurposed quickly and at scale.
From one kind of systemic threat to another — a Stanford Law visiting fellow is warning that large language models may soon be capable of breaking legal systems from the inside out. The argument is straightforward: if AI can find exploitable gaps in software code, it can do the same with legal code, surfacing inconsistencies that bad actors could exploit faster than any legislature could respond.
And Apple is drawing sharp criticism over its Mac Studio M five Ultra memory pricing. Upgrading from two hundred fifty-six to five hundred twelve gigabytes costs eleven thousand five hundred dollars — but buying two separate two hundred fifty-six gigabyte machines runs seven hundred one dollars less and delivers two full processors, two GPUs, and two storage drives in the bargain. Customers are doing the math, and they don't like what they see.
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