Chen Guangyu

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   17-year-old Kimi researcher behind Attention Residuals leaves for Silicon Valley

   A report republished by 36Kr says 17-year-old Kimi machine-learning researcher Chen Guangyu announced his departure in an Oct. 15 post on X and replied to Anthropic scalable reinforcement learning lead Sholto Douglas that he is heading to the Bay Area. He joined Moonshot AI as a 16-year-old intern and is one of the co-first authors of the Attention Residuals paper, whose Block AttnRes variant, proposed with Zhang Yu, splits networks into blocks and cuts memory complexity from layer-scale to block-scale; the article says it matched a baseline using about 80% of the compute on a Kimi Linear 48B model trained on 1.4 trillion tokens, with under 2% added inference latency. The piece says the technique is one of the foundations of Kimi K3, described as a 2.8-trillion-parameter, 3T-class open-weight model released in July 2026, and uses the move to examine whether Chinese AI firms can retain elite talent, drawing parallels to hiring battles in smart-driving and robotics.

   36氪 人工智能 · 🔥 7

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