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Who’s Afraid of Chinese Models?

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Who’s Afraid of Chinese Models?

TL;DR · AI 摘要

中美LLM竞争白热化，Ben Thompson提议美国立法保障模型训练数据版权，阿里巴巴Qwen 3.8 Max参数达2.4T，中国政策转向鼓励开源。

核心要点

  • 美国应立法明确模型训练数据为合理使用，禁止企业限制模型蒸馏。
  • 阿里巴巴Qwen 3.8 Max参数量达2.4T，接近Kimi K3的2.8T。
  • 中国领导人近期讲话强调开源合作，可能影响阿里巴巴开放模型权重决策。

结构提纲

按章节快速跳转。

  1. §中美LLM竞争格局

    分析当前中美在大型语言模型领域的竞争态势及政策影响。

  2. ·Ben Thompson的立法建议

    提议美国通过法律保障模型训练数据合理使用及蒸馏自由。

  3. ›阿里巴巴Qwen 3.8 Max发布

    介绍Qwen 3.8 Max参数规模及与Kimi K3的对比。

  4. ·中国政策转向

    解读中国领导人关于开源合作的讲话对模型发布的影响。

  5. ›模型细节与案例

    展示Qwen 3.8 Max的推理过程及趣味性细节。

思维导图

用一张图看清主题之间的关系。

查看大纲文本（无障碍 / 无 JS 友好）
  • 中美LLM竞争
    • 美国政策
      • 训练数据合理使用立法
      • 禁止蒸馏限制条款
    • 中国动态
      • 鼓励开源政策
      • Qwen 3.8 Max发布
    • 技术指标
      • 2.4T参数规模
      • 推理过程细节

金句 / Highlights

值得收藏与分享的关键句。

#AI#LLM#中国模型#开源政策#中美竞争
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Who’s Afraid of Chinese Models?

Simon Willison’s Weblog

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20th July 2026 - Link Blog

Who’s Afraid of Chinese Models? ( via ) Interesting proposal from Ben Thompson that both addresses the hypocrisy of labs outlawing distillation against their models despite training on unlicensed data, and could help US open models compete more effectively with their Chinese counterparts:

The U.S. should pass a law that (1) makes explicit that collecting data for training models is fair use, and (2) bars terms of service that forbid distillation, for U.S. companies at a minimum. Stopping distillation — which is literally just querying the API — is nearly impossible; the U.S. should go the other way and lean into a new copyright policy that both indemnifies the labs and also guarantees that what they learned fuels further innovation for everyone else.

Ben also theorizes that Alibaba's decision to release Qwen 3.8 Max as open weights - a reversal from their decision not to release Qwen 3.7 Max in May - may have been influenced by a recent speech by Xi Jinping, who said:

We should seize this rare, historic opportunity to encourage open source, openness, collaboration and sharing.

And on the subject of Qwen 3.8 Max - a new 2.4T parameter model (nearly as large as the 2.8T Kimi K3) - here's a pelican it drew :

I particularly enjoyed seeing these notes in the (extensive) reasoning trace: "Could add helmet? No." and "Maybe add small bell? no." and "Need maybe add small fish in basket? Not necessary."

Posted

20th July 2026

at 5:09 pm

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This is a link post by Simon Willison, posted on 20th July 2026 .

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