CE.cn says Chinese open‑source LLMs are reshaping global AI access

This CE.cn piece reflects a growing but under‑acknowledged reality: much of the world’s practical AI experimentation is drifting toward cheap, permissively licensed Chinese models. If DeepSeek, Qwen and their derivatives become the default substrate for developers from Jakarta to Johannesburg, that quietly shifts where the next wave of talent, tooling, and application ecosystems consolidate. It’s a kind of soft power that doesn’t rely on export licenses, only on GitHub and Hugging Face. ([en.ce.cn](https://en.ce.cn/Insight/202512/t20251218_2650721.shtml?utm_source=openai))

For the AGI race, democratized access to capable open‑source models cuts both ways. It dilutes the dominance of a few U.S.-based API providers and increases the chances that breakthrough ideas or dangerous misuse originate outside the traditional tech centers. It also makes any future attempt to “pause” or centrally govern AGI‑class capabilities harder; once weights are in the wild and widely finetuned, control becomes a coordination problem on a global scale.

Strategically, Western labs and policymakers should read this as a warning that cost, latency, and sovereignty matter as much as benchmark scores. If open Chinese models are good enough for many tasks and effectively free to run locally, they will become the default for a huge slice of the world’s developers—regardless of geopolitical narratives.