What Makes China Go Open Source in AI And Not the US

‘Open-sourcing is often a move to gain traction when behind and to attract talent’
The industry has been abuzz with new open-source AI models from Chinese companies, most of which are potentially competitive. The US, meanwhile, is doing the opposite.  Top labs like OpenAI, Anthropic, and DeepMind continue to guard their most advanced models. Even those who have released open versions, Meta with Llama, Google with Gemma, do so cautiously, and often at a safe technical distance from their most profitable offerings. China is advancing in the global AI race through transparency, speed, and a deliberate effort to lead in open source, as seen with Alibaba’s Qwen3-Coder, GLM 4.5 or Kimi K2.  This isn't just a question of capability. It’s a question of strategy. And the two largest AI ecosystems in the world are now playing by very different rules. Why
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Ankush Das
I am a tech aficionado and a computer science graduate with a keen interest in AI, Coding, Open Source, Global SaaS, and Cloud. Have a tip? Reach out to ankush.das@aimmediahouse.com
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