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Banning open-source AI would hurt defenders 10x more than attackers, which would make the world 10x more dangerous.

Hugging Face CEO Clement Delangue argues that open-source AI bans disproportionately harm defenders, citing an incident where Hugging Face used a Chinese open-source model (GLM-5.2) during a cyberattack because U.S. model safety guardrails blocked defensive workflows. ✦ AI generated

Clement Delangue · Latent Space · 2026-07-23 · original ↗

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Hugging Face CEO Clement Delangue argues that banning open-source AI would disproportionately harm defenders, citing a Fortune report that Hugging Face used a Chinese open-source AI model during a fully autonomous cyberattack because U.S. model safety guardrails blocked defensive cyber workflows. The technical significance is the contrast between guardrailed cloud frontier models and open-weight models for incident response.

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▦ Hugging Face ✳ GLM-5.2 ◉ Clement Delangue

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Government intervention to ban open-source AI would tank the stock market by forcing American enterprises to pay artificially inflated costs, destroying their competitiveness.Chamath Palihapitiya · All-In Podcast · conf 80%

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supports → Banning open-source AI would hurt defenders 10x more than attackers, making the world more dangerous.Clement Delangue · Latent Space supports → Cracking down on open source AI out of fear of China would backfire: American startups already rely on open source models, including Chinese ones, to compete, and restricting them would only weaken US education, innovation, and competition.Kevin Xu (Interconnected, co-author) · Interconnects