🤖 AI / ML
谁害怕中国模型？Who’s Afraid of Chinese Models?
Ben Thompson 提出了一项旨在解决前沿实验室禁止模型蒸馏却使用未授权数据训练这一虚伪现象的提案。该提案建议美国通过法律明确将收集数据用于模型训练视为合理使用。此举有望帮助美国开源模型更有效地与中国模型竞争。
Simon Willison
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.
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