Lessons from Inside a Chinese AI Lab

Chinese AI labs have a culture that focuses on optimizing the quality of the final model rather than individual reputation, which contrasts with the American-style culture that values individual researchers' achievements. A significant portion of key contributors consist of active students, which gives them a characteristic of adapting very quickly to the latest technical paradigm shifts such as MoE (Mixture of Experts) or RL (Reinforcement Learning) scaling.

China's AI industry ecosystem shows the following structural differences.

• Sense of technology ownership: Chinese companies show a strong tendency to control their own technology stack rather than purchasing external services.
• Market trajectory: Enterprise AI demand is likely to follow the trend of the large-scale cloud market rather than the existing small SaaS market.
• Developer workflow: Among developers in China, Claude is very widely used as a core tool for building software.

AI labs in Beijing compete fiercely with one another, yet are closely connected like a single ecosystem. Notably, there is a characteristic atmosphere of cooperation that respects research sensibility, centered around technology leaders such as DeepSeek.