Liu Ziming
AI researcher, Chief Scientist at Yuanhuan Intelligence, former MIT PhD student and Stanford postdoc
“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→“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→“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→“I'm also participating in entrepreneurship, serving as Chief Scientist at Yuanhuan Intelligence.”
Source→“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→“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→“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.