# Simon Willison 发文建议美国立法保护 AI 训练数据合理使用并禁止禁止蒸馏，并提及阿里巴巴开源 Qwen 3.8 Max 可能受中国政策影响

- 来源：Simon Willison
- 发布时间：2026-07-21 01:09
- AIWatch 分数：61
- AIWatch 标记：未精选
- AIWatch 链接：https://aiwatch.icu/events/evt_01ky08b9sc9meahy3h9hh3zbnd
- 原文链接：https://simonwillison.net/2026/Jul/20/afraid-of-chinese-models/#atom-everything

## 精选理由

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## AI 摘要

Simon Willison 发文建议美国立法保护 AI 训练数据合理使用并禁止禁止蒸馏，并提及阿里巴巴开源 Qwen 3.8 Max 可能受中国政策影响。

## 正文

Who’s Afraid of Chinese Models?

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.

Tags: ai, generative-ai, llms, training-data, qwen, ai-ethics, ai-in-china