Rohan Paul · @rohanpaul_ai · X·2026-07-01 15:06·65天前
AI 导读

一项研究通过分析政策文件、开源模型发布、GitHub活跃度、论文及美国专利发现:美国加强出口管制后,中国开发者在开源大语言模型项目上的活跃度远超美国开发者,美国政策非但未遏制中国AI发展,反而加速了其开源生态建设。Perplexity CEO Aravind Srinivas 补充称,中国建设数据中心速度更快,电力、许可、人力、劳动力、专业知识均不构成障碍。

Rohan Paul@rohanpaul_ai
68AI 编辑部评分,满分 100
2026-07-01 15:06· 65天前
AI 导读

一项研究通过分析政策文件、开源模型发布、GitHub活跃度、论文及美国专利发现:美国加强出口管制后,中国开发者在开源大语言模型项目上的活跃度远超美国开发者,美国政策非但未遏制中国AI发展,反而加速了其开源生态建设。Perplexity CEO Aravind Srinivas 补充称,中国建设数据中心速度更快,电力、许可、人力、劳动力、专业知识均不构成障碍。

U.S. chip restrictions helped push China to build and spread open AI models.

The authors tested this by looking at policy documents, open model releases, GitHub activity, research papers, company-linked papers, and U.S. patents.

They found that after major U.S. export controls, Chinese developers increased activity around open LLM projects much more than U.S. developers did.

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Link – arxiv. org/abs/2606.15999

Title: "U.S.Policies Unintentionally Accelerated China's Open AI Ecosystems"

Rohan PaulOpinion from a former Meta PM. And this is from Aravind Srinivas of Perplexity "China can build data centers a lot faster. Power is not a problem. Permits are n...