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HOME/PEOPLE/LIU ZIMING
// PERSON

Liu Ziming

AT YUANHUAN INTELLIGENCEMENTIONS 7LAST SEEN JULY 30, 2026
// BIO

AI researcher, Chief Scientist at Yuanhuan Intelligence, former MIT PhD student and Stanford postdoc

// RECENT MENTIONS
// SIGNALS
7 SIGNALS
01
mention·张小珺Jùn|商业访谈录·JULY 30, 2026

A new wave of "New Labs" is emerging in both the US and China, founded by young researchers with elite academic backgrounds who can raise hundreds of millions in valuation before having a product. Liu Ziming describes the fundraising environment as almost irrational in its speed and intensity.

Source
02
product·张小珺Jùn|商业访谈录·JULY 30, 2026

Liu Ziming's long-term product vision is a "Vibe Training" system — analogous to how Cursor/Claude Code democratized programming, his system would let anyone train a custom model by simply stating their requirements, without knowing anything about architecture or training.

Source
03
mention·张小珺Jùn|商业访谈录·JULY 30, 2026

From their blog you can glimpse some of their technical direction. My rough guess is that they emphasize maintaining a good memory system for the auto-research agent. Tian Yuandong himself is actually quite supportive of Science of AI. I do have a sense of crisis — if their route eventually becomes similar to mine, it will definitely be Tian Yuandong doing it.

Source
04
hire·张小珺Jùn|商业访谈录·JULY 30, 2026

I'm also participating in entrepreneurship, serving as Chief Scientist at Yuanhuan Intelligence.

Source
05
mention·张小珺Jùn|商业访谈录·JULY 30, 2026

Andreas Tolias is one of the top few people globally working on Neuroscience Foundation Models. He told me: our investors said, within three years you don't need to think about commercialization — just calmly do R&D.

Source
06
mention·张小珺Jùn|商业访谈录·JULY 30, 2026

He had started the same as me — looking down on startups, looking down on big companies. But after going to Stanford, after about two weeks he told me he was going to start a company.

Source
07
mention·张小珺Jùn|商业访谈录·JULY 30, 2026

Freeman Dyson divides scientists into birds and frogs. Birds understand a little about many fields, see structural similarities across them, and can transfer methods from one domain to another.

Source

AI-extracted from podcast / newsletter / paper summaries. May contain errors.

Liu Ziming · Yuanhuan Intelligence — 7 mentions on Teahose