Y Combinator’s Garry Tan wants US open-weight AI labs to ‘distill’ frontier models, too
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Y Combinator's Garry Tan argues that American AI companies should be allowed to use distillation—a technique where an AI model is queried to learn how it works—on top models from American laboratories.
He says the government should allow this freely, without restrictions. Tan contends it is unfair for AI companies to prohibit this when they themselves trained their models on massive amounts of internet data without always asking permission. He wants to create a balance between open AI models and proprietary top models to prevent all AI power from concentrating in a single company.
Controlling what users and customers do with API calls to closed weight models feels constraining, and there's a role government can play here to normalize the fact that access to intelligence that was trained on broad public access data should itself also be more a form of a public good than something locked away behi
Vibekollen prepared this summary with AI from the original publication. The content belongs to TechCrunch AI.
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