FSF威胁Anthropic侵犯版权:分享你的LLM
FSF statement on copyright infringement lawsuit Bartz v. Anthropic

原始链接: https://www.fsf.org/blogs/licensing/2026-anthropic-settlement

自由软件基金会(FSF)收到关于 *Bartz v. Anthropic* 版权诉讼的庭外和解通知,该诉讼涉及使用来自 Library Genesis 等网站的受版权保护的书籍来训练大型语言模型(LLM)。虽然法院最初认为将书籍*用于*训练构成合理使用,但*下载*本身的合法性仍然存在争议——导致一项为版权所有者提供赔偿的和解协议。 FSF 拥有“自由即自由”等作品的版权,这些作品包含在 Anthropic 使用的数据集中。然而,FSF 以自由许可发布作品,允许无需付费使用。他们认为真正的补救措施不是金钱,而是将 LLM *作为自由软件* 发布——包括训练数据、模型配置和源代码——以确保用户自由。 尽管 FSF 是一个小组织,但他们表示,如果就类似案件中的版权或许可侵权采取法律行动,他们会将用户自由作为赔偿的首要考虑因素。

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原文

The Free Software Foundation (FSF), like many others, received a notice regarding settlement in the copyright infringement lawsuit Bartz v. Anthropic. It is a class action lawsuit claiming that Anthropic infringed copyright by downloading works in Library Genesis and Pirate Library Mirror datasets for purposes of training large language models (LLMs). According to the notice, the district court ruled that using the books to train LLMs was fair use but left for trial the question of whether downloading them for this purpose was legal. Apparently, the parties agreed to settle instead of waiting for the trial and they are now reaching out to potential copyright holders to offer money in lieu of potential damages.

The FSF holds copyrights to many programs in the GNU Project, as well as to several books. We publish all works that we hold copyrights to under free (as in freedom) licenses. Among the works we hold copyrights over is Sam Williams and Richard Stallman's Free as in freedom: Richard Stallman's crusade for free software, which was found in datasets used by Anthropic as training inputs for their LLMs. It was published by O'Reilly and by the FSF under the GNU Free Documentation License (GNU FDL). This is a free license allowing use of the work for any purpose without payment.

Obviously, the right thing to do is protect computing freedom: share complete training inputs with every user of the LLM, together with the complete model, training configuration settings, and the accompanying software source code. Therefore, we urge Anthropic and other LLM developers that train models using huge datasets downloaded from the Internet to provide these LLMs to their users in freedom. We are a small organization with limited resources and we have to pick our battles, but if the FSF were to participate in a lawsuit such as Bartz v. Anthropic and find our copyright and license violated, we would certainly request user freedom as compensation.

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