Trends & Emerging Technology

China’s AI Models Take the Open-Source Route: Building Influence Between Closed and Open Approaches

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Robin’s commentary (reflections after a Keji Lang program; the program’s views are quoted)

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English translation of the Chinese post originally published 2026-03-05. Translated 2026-10-31 with AI assistance. Historical figures and claims have not been updated or independently verified. 中文原文

Reading guide

After listening to a technology program, Robin reflects that China’s AI models still trail those in the United States and are trying various ways to break through restrictions. He mentions the program’s discussion of distillation attacks and related claims, which have not been independently verified. He observes that Chinese model developers are concentrating on open source. Even in the U.S., many developers use these models in open-source communities to build products, having been warned not to base a business model on a major provider’s models with only a thin wrapper that can easily be replaced. At the time, U.S. model providers mostly favored closed approaches, while Chinese providers were building visibility through openness. Whether the latter would later turn toward closed models remained unknown.

Key points

  • China’s AI models lag relatively but are building influence through open source.
  • Developers are warned that a thin wrapper can quickly be replaced.
  • At the time, major U.S. providers favored closed approaches, while Chinese providers favored open source.
  • Claims about distillation attacks and similar matters are quoted from the program and have not been independently verified; as of March 2026.
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Full text — English translation

After listening to this episode of Keji Lang, I see China trying to build a different kind of open-source influence from that of the United States in the AI era. China still trails the United States in AI models. Hence Anthropic’s claim that Chinese AI model developers have conducted distillation attacks against it. This can also be seen as Chinese AI companies trying every way to break through under comprehensive U.S. restrictions, including legal, illegal—violating terms of service—and gray-area approaches. But how long will their models remain behind? Could they eventually overtake the leaders, or remain very close technologically—sometimes a trick loses its mystery once it is revealed—while creating distinctive advantages elsewhere? Chinese AI model providers are concentrating their efforts on the open-source world. Even in the United States, it appears that many AI developers choose Chinese providers’ open-source models to develop products and business applications within open-source communities. Developers in the AI world have repeatedly been warned not to build products or business models on major providers’ AI models with only a wrapper and a little UI/UX optimization. Such a thin layer of added value can be replaced in an instant. Will Chinese AI model providers move from open source to closed approaches in the future? Unknown. For now, major U.S. model providers are choosing closed approaches, while Chinese providers are taking the open-source, open-access route to build industry visibility and influence—and are therefore welcomed and supported by AI developers worldwide.

These articles are personal notes, book excerpts, and collected reprints. Figures and events reflect the time of the original publication, are not current information, and do not constitute investment advice.

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