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The article centers on the technical mechanisms behind Kimi K3's performance, specifically debating whether its capabilities stem from direct exploitation of Anthropic's proprietary model or alternative training strategies like distillation and fine-tuning. This discussion addresses core machine learning development practices regarding how models are optimized and improved without relying solely on data leakage techniques.
Experts say exploiting Anthropic’s Fable isn’t how Kimi K3 got so good
"I don't think you get a model this strong and this quickly on the heels of Fable doing strictly distillation," one expert told TechCrunch.
White House science advisor Michael Kratsios said that Moonshot, the Chinese company behind the Kimi K3, the largest available open-weight LLM, built its model by copying Anthropic’s Fable LLM while using chips that aren’t cleared for export to China. “Large-scale, covert industrial distillation aimed at stealing proprietary U.S. technology and undermining American research is unacceptable,” Kratsios wrote, amid reported discussions about banning Chinese open-weight models that have roiled the AI sector. Moonshot did not respond to questions about its training process, and Kratsios did not share more details about the sources of his allegations. Kratsios’ tweet echoed comments from…
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