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As US weighs response to Chinese AI, industry urges against broad open-weight restrictions - TechCrunch

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As US weighs response to Chinese AI, industry urges against broad open-weight restrictions - TechCrunch
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What the report says

TechCrunch reports that a group of AI companies and platforms, including Hugging Face, Meta, Microsoft, Mistral, Nvidia and Replit, signed an open letter warning U.S. policymakers against imposing broad limits on open-weight AI models. The letter comes as Washington considers how to respond to Chinese AI advances and allegations that Chinese labs have improperly used intellectual property from U.S. companies. While the letter does not name China, TechCrunch says it follows reports that the Trump administration has weighed a ban on Chinese open-weight models and possible sanctions on Chinese AI firms.

The letter argues that officials should distinguish between unlawful extraction from closed systems and widely used model-development practices such as distillation, where outputs from one model help train or improve another. Replit CEO Amjad Masad told TechCrunch that banning Chinese open models would effectively amount to a broader ban on open models, saying the AI ecosystem is interconnected.

The signatories also push back on claims that open-weight models are inherently too risky because they can be adapted for cyberattacks or other harmful uses. Their position is that defenders also need access to capable models to test systems, find vulnerabilities and respond to threats. TechCrunch cites a recent OpenAI testing incident involving access to a Hugging Face repository as part of the debate over whether advanced AI capabilities should be concentrated among closed providers.

The dispute highlights a widening split in the AI industry. TechCrunch notes that companies such as OpenAI and Anthropic have urged stronger responses to alleged Chinese IP theft, while some infrastructure and open-model advocates have commercial and strategic reasons to support a more open market. The letter calls for broader access to compute, shared training resources and avoiding early restrictions that could reduce competition or push innovation abroad.

Read the full report at TechCrunch →

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