Shao: Compute Limits Force Chinese AI Labs Into Distinct Specializations
Grace Shao · How China Caught U.S. AI — With Grace Shao · Jul 29, 2026 · at 3:42
Grace Shao explains how hardware constraints shaped strategy across Chinese AI startups like DeepSeek, Kimi, MiniMax, and Zhipu AI.
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“What you've seen is a lot of these tiny labs faced with compute constraint and in some ways capital constraint, they're forcing them to specialize rather than compete across every dimension. So, you know, for the sake of, you know, deep seek, it's really, really focused on the infrastructure, the innovation and engineering and efficiency and compute efficiency. With a lot of the others like Kimi, it's really, really focused on its agentic push out, you know, Minimax previously was more focused on multimodality and ZAI focused, focused on coding. So in that way, you can see the whole ecosystem is kind of each taking its own pie, not by, I think design, but because of compute, a constraint.”
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