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The calls to slow down artificial intelligence development are growing louder, and the voices behind them are surprising. Both Sam Altman of OpenAI and Elon Musk have backed Anthropic's push to pump the brakes on what they're calling reckless AI progress. It's a striking moment when the people building the technology are also asking for restraint.
That conversation takes on a sharper edge with new reporting that Russian developers used AI tools, specifically Anthropic's own technology, to help build targeting software for kamikaze attack drones in the Ukraine conflict. Anthropic confirmed the misuse, and the story is a stark illustration of exactly why those slowdown conversations are so complicated. Restricting development in one place doesn't stop it everywhere.
And while policymakers wrestle with those questions, a Stanford course called Deep Learning Alchemy has surfaced online, drawing attention for its candid framing of how much of modern AI practice is still more craft than science. It's a reminder that even at the frontier, a lot of what works is still not fully understood.
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