@TimDaugs: kimi's ceo has a standing rule against clever architectures. yang zhilin has said the actual move is almost never a new…
Summary
Kimi's CEO Yang Zhilin advocates avoiding clever architectures and prioritizing scaling, exemplified by Moonshot's MuonClip fix that enabled stable training on 15.5 trillion tokens.
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Cached at: 07/25/26, 08:12 PM
kimi’s ceo has a standing rule against clever architectures.
yang zhilin has said the actual move is almost never a new algorithm.
if scale can solve the problem, scale solves it.
a new architecture only earns its place if it makes scaling work better, not because it looks smarter on paper.
that’s not a slogan he came up with for kimi.
he spent his cmu phd co-authoring xlnet, a paper cited over ten thousand times.
it got more out of an existing transformer setup instead of inventing something exotic.
moonshot’s own technical choices follow the same instinct.
muonclip wasn’t a new architecture.
it was a targeted fix for one specific instability in an optimizer that already existed.
that fix let them train on 15.5 trillion tokens without a single loss spike.
no jumper-wire architecture. no reinvented core.
the actual discipline isn’t building the clever thing.
it’s noticing when the clever thing was never necessary.
Tim Daugs (@TimDaugs): kimi’s ceo thinks every ai lab, claude included, is optimizing for the wrong prize.
intel’s first commercial chip shipped in the early 70s. nobody had a use for it yet.
bill gates and paul allen looked at moore’s law and bet that a useless chip today becomes the whole industry
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