Kimi’s MoE lineage may trace back to Yang Zhilin’s decade-old XLNet PhD work
FinanceYF5 · x · 2026-07-21
The post argues that one key technical source behind Kimi’s success may be founder Yang Zhilin’s PhD work from a decade ago.
Background
- Yang is 34, studied at Tsinghua and CMU, and spent his PhD years at Meta AI and Google Brain.
- His widely cited XLNet paper has reportedly been cited more than 10,000 times.
Claim
- The poster suggests the ideas behind XLNet later evolved into the trillion-parameter MoE architecture used by Kimi K2.
- In other words, the model’s architecture lineage may trace back to a long research path rather than a sudden product breakthrough.
Related event: Kimi's MoE Architecture Traced Back to Yang Zhilin's Decade-Old PhD Thesis(3 posts)→
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