Open Source · Anthropic · DeepSeek · OpenAI · China · U.S. · Rest of World
Many open-source rolls out from the Chinese labs are helping U.S. labs
Compiled by KHAO Editorial — aggregated from 2 sources + 6 references discovered via search. See llms.txt for citation guidance.
◎ Multiple-sources
For example, the reinforcement learning training algorithm from DeepSeek is becoming the default setting for many U.S. research labs.
Key facts
- Tiezhen Wang, former head of the Asia-Pacific ecosystem at AI community collaboration platform Hugging Face, has observed this trend over the years
- If you look at the stock price of China’s Zhipu, it is at 10 times growth already
- Recently, they have seen Elon Musk admit that xAI distilled from OpenAI
- In China, it’s kind of the other way around because it has a bunch of open-source models that are not that expensive to use
Summary
As the U.S. and China battle for artificial intelligence supremacy, a fundamental divide in engineering philosophy could determine the winner. While American pioneers like OpenAI and Anthropic favor a closed-source approach, keeping their proprietary model code locked behind a commercial interface, Chinese AI labs are aggressively releasing open-source models. Tiezhen Wang, former head of the Asia-Pacific ecosystem at AI community collaboration platform Hugging Face, has observed this trend over the years. At a Rest of World virtual event, Wang spoke about the history of open-source models, how Chinese AI labs monetize despite not charging for their models, and the debate over model distillation and intellectual property. Many open-source releases from the Chinese labs are helping U.S. labs.