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.
This is literally the purpose of the export controls.
I appreciate the efforts Chinese companies have put into actual innovation, optimizing the performance of smaller models in a resource constrained environment. US companies, by comparison, are pretty fat, inefficient, and lazy.



