China employs a high-participation, open-first strategy to scale its AI capabilities. This approach leverages rapid community iteration to close gaps with proprietary Western models. Nathan Lambert argues that these open ecosystems compound knowledge faster than closed labs. Researchers can now integrate these shared weights into specialized workflows to accelerate local deployment.