---
title: "谁在害怕中国AI模型？美国应立法允许蒸馏与合理使用"
source: "Simon Willison 博客（Atom）"
source_tier: "t2"
url: "https://simonwillison.net/2026/Jul/20/afraid-of-chinese-models/#atom-everything"
permalink: "https://feed.astralor.com/items/itm_51f9e12e580038334f1e0f52"
published: "2026-07-20T17:09:19.000Z"
score: 68
channel: "ai"
tags: ["AI蒸馏","Alibaba","Ben Thompson","Qwen 3.8 Max","合理使用","开源政策"]
---

# 谁在害怕中国AI模型？美国应立法允许蒸馏与合理使用

## AI 点评

> 这篇文章让我眼前一亮的地方在于，它直接戳中了美国实验室一边起诉别人侵权、一边想限制蒸馏的伪善。对于关注中美AI竞争、开源生态、以及AI版权法的读者来说，Thompson的提议值得反复琢磨——虽然现实政治阻力很大，但方向可能是对的。

## 速览

Ben Thompson 提出一项大胆政策建议：美国应通过立法，明确训练数据的收集属于合理使用，并禁止服务条款限制蒸馏（distillation），以帮助美国开源模型与中国模型竞争。文章指出，蒸馏本质上是查询API，几乎无法禁止；美国应转向新版权政策，既保护实验室又能让学习成果惠及所有人。同时，阿里巴巴决定开放 Qwen 3.8 Max 权重，可能受习近平讲话中鼓励开源、开放、合作共享的影响。

## 关键点

- 美国应立法明确训练数据为合理使用，并禁止服务条款限制蒸馏。
- 蒸馏本质就是查询API，几乎无法禁止。
- 阿里巴巴开放Qwen 3.8 Max权重，或受习近平讲话影响。

## 全文

Who’s Afraid of Chinese Models? 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. Via John Gruber Tags: ai, generative-ai, llms, training-data, qwen, ai-ethics, ai-in-china

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引用前请核对原文;本文由星际流动整理:https://feed.astralor.com/items/itm_51f9e12e580038334f1e0f52