Lambert says distillation is not clearly harmful to US AI competitiveness
Overview
Nathan Lambert says on X that it is "not cut and dry" whether distillation harms US AI competitiveness, replying to institutions examining the question.
He was responding to a post by Archie Hall, who argues in The Economist that efforts to ban Chinese models trained partly on American models are misguided.
Hall says distillation can help price competition and national security. He also says US developers' intellectual property claims are weak, because they defend their own use of training data as fair use.
Written by AI from the articles below · updated Oct 29, 3:29 PM ET
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Nathan Lambert@natolambertXLambert says distillation isn't clearly bad for US AI competitivenessAINathan Lambert says it is not cut and dry that distillation harms US AI competitiveness, replying to institutions exploring the question. He is responding to a post by Archie Hall, which argues in The Economist that efforts to ban Chinese models trained partly on American ones are misguided. Hall's case is that distillation can aid price competition and national security, and that US developers' IP claims are weak given their own fair use defense for training data.
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