Science & Tech · AI · 3 hrs ago

Chinese AI models show evidence of training on restricted Nvidia chips

Chinese AI models show evidence of training on restricted Nvidia chips

Former OpenAI engineer Will DePue says Chinese AI models show signs of training on Nvidia Blackwell chips.

His analysis examined published model weights from DeepSeek, Moonshot AI, MiniMax and Ant Group.

The United States bars exports of these powerful GPUs to China as part of controls intended to limit China's access to advanced AI technology.

DePue says the weights retain a hardware fingerprint from the chips used in training, which he matched against chip and random-seed combinations.

The results suggest Chinese labs may have accessed restricted computing power, raising questions about how well export controls work.

But the findings do not establish where the chips were located or prove that export rules were broken; the models may not have been trained entirely on those GPUs.

The debate over tighter controls is continuing, with several US bills awaiting consideration.

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What people are saying

Will DePueFormer OpenAI engineer and founder of Unemployment Labs
This sounds insane, but I discovered that almost every AI model carries a hidden signature of the GPU that trained it
via The Register
I searched more than six trillion combinations of chip layout and seed number and matched them to open-weights models
via The Register
Sam BresnickResearcher at the Georgetown Center for Security and Emerging Technology
If we care about the U.S. tech edge, it doesn’t make any sense to me that you would not allow Chinese companies to access chips in mainland China or Hong Kong and Macau, but then say, actually, if you just go over to Malaysia, you can do whatever you want
via TechCrunch

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