Yang Zhiling’s 10-year-old PhD work may have shaped Kimi K2’s trillion-parameter MoE
FinanceYF5 · x · 2026-07-21
杨植麟的 GTC 2026 主题演讲视频被转发，同时帖子强调：Kimi 能在美国模型竞争中占优的关键技术之一，源头可能来自他十年前的博士论文。\n\n帖中还补充了他的背景：34 岁，清华本科、CMU 博士，读博期间在 Meta AI 和 Google Brain 任职；其高被引论文 XLNet 的思路，后来被认为延续到了 Kimi K2 的万亿参数 MoE 架构。
Related event: Kimi's MoE Architecture Traced Back to Yang Zhilin's Decade-Old PhD Thesis(3 posts)→
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