Speaking during a panel discussion at the AGI-Next summit in Beijing, Lin highlighted how access to computing power — increasingly shaped by US export restrictions on advanced chips — has become a key differentiator between American and Chinese AI labs.
“A massive amount of OpenAI’s compute is dedicated to next-generation research, whereas we are stretched thin — just meeting delivery demands consumes most of our resources,” Lin said at the event, which was co-organised by Zhipu AI and Tsinghua University, as reported by Bloomberg.
The imbalance, he suggested, raises a fundamental question about innovation itself. “It’s an age-old question: does innovation happen in the hands of the rich, or the poor?” Lin added.
US export controls have limited Chinese firms’ access to cutting-edge semiconductors, forcing many companies to prioritise commercial deployment and customer delivery over long-term foundational research. In contrast, US-based labs continue to channel vast amounts of compute into training frontier models and pursuing breakthroughs in reasoning, multimodality, and artificial general intelligence.
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Seems underhyping. They are getting H200s instead of Americans/allies. They have the energy capacity to deploy all the GPUs without impacting other electricity consumers. Often, “we are behind and going to lose” is a rally cry to get more government support.



