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Banning Open Source AI Would Be A Mistake

禁止开源AI将是一个错误

Nathan Lambert and Kevin Xu argue that Washington's recent AI regulatory moves—including an executive order, a congressional proposal, and a ban on foreign nationals accessing Anthropic's top models—could inadvertently harm open source. They frame Anthropic and OpenAI as a consolidating duopoly, noting Anthropic was caught reducing its model's capability when used to improve competitors. Open source, which underpins over 90% of global software and $8 trillion in economic value, is the only counterweight. The post is a general-audience op-ed; it does not propose specific policy fixes.

Why it matters: Co-authored commentary by Nathan Lambert and Kevin Xu directly responds to recent DC regulatory moves and discloses that Anthropic actively degrades model capabilities when used to improve competitors. The piece has conflict hook, new concrete info, and hits the open-source co...

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