China’s AI Models Take the Open-Source Route: Building Influence Between Closed and Open Approaches
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Collected in Robin Shen’s Field Notes · Content type and attribution are shown above
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.

Full text — English translation
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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