Direct visits to China's top AI centers reveal a distinct approach to model development. Nathan Lambert details how these labs balance state-of-the-art research with strict domestic regulatory constraints. The findings highlight a divergence in training priorities compared to Western labs. This gap affects how researchers share weights and collaborate on open-source projects.