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Authors Seek Meta's Torrent Client Logs and Seeding Data In AI Piracy Probe (torrentfreak.com) 2

An anonymous reader quotes a report from TorrentFreak: Meta is among a long list of companies being sued for allegedly using pirated material to train its AI models. Meta has never denied using copyrighted works but stressed that it would rely on a fair use defense. However, with rightsholders in one case asking for torrent client data and 'seeding lists' for millions of books allegedly shared in public, the case now takes a geeky turn. [...] A few weeks ago, the plaintiffs asked for permission to submit a third amended complaint (PDF). After uncovering Meta's use of BitTorrent to source copyright-infringing training data from pirate shadow library, LibGen, the request was justified, they argued. Specifically, the authors say that Meta willingly used BitTorrent to download pirated books from LibGen, knowing that was legally problematic. As a result, Meta allegedly shared copies of these books with other people, as is common with the use of BitTorrent.

"By downloading through the bit torrent protocol, Meta knew it was facilitating further copyright infringement by acting as a distribution point for other users of pirated books," the amended complaint notes. "Put another way, by opting to use a bit torrent system to download LibGen's voluminous collection of pirated books, Meta 'seeded' pirated books to other users worldwide." Meta believed that the allegations weren't sufficiently new to warrant an update to the complaint. The company argued that it was already a well-known fact that it used books from these third-party sources, including LibGen. However, the authors maintained that the 'torrent' angle is novel and important enough to warrant an update. Last week, United States District Judge Vince Chhabria agreed, allowing the introduction of these new allegations. In addition to greenlighting the amended complaint, the Judge also allowed the authors to conduct further testimony on the "seeding" angle. "[E]vidence about seeding is relevant to the existing claim because it is potentially relevant to the plaintiffs' assertion of willful infringement or to Meta's fair use defense," Judge Chhabria wrote last week.

With the court recognizing the relevance of Meta's torrenting activity, the plaintiffs requested reconsideration of an earlier order, where discovery on BitTorrent-related matters was denied. Through a filing submitted last Wednesday, the plaintiffs hope to compel Meta to produce its BitTorrent logs and settings, including peer lists and seeding data. "The Order denied Plaintiffs' motion to compel production of torrenting data, including Meta's BitTorrent client, application logs, and peer lists. This data will evidence how much content Meta torrented from shadow libraries and how much it seeded to third parties as a host of this stolen IP," they write. While archiving lists of seeders is not a typical feature for a torrent client, the authors are requesting Meta to disclose any relevant data. In addition, they also want the court to reconsider its ruling regarding the crime-fraud exception. That's important, they suggest, as Meta's legal counsel was allegedly involved in matters related to torrenting. "Meta, with the involvement of in-house counsel, decided to obtain copyrighted works without permission from online databases of copyrighted works that 'we know to be pirated, such as LibGen," they write. The authors allege that this involved "seeding" files and that Meta attempted to "conceal its actions" by limiting the amount of data shared with the public. One Meta employee also asked for guidance, as "torrenting from a corporate laptop doesn't feel right."

Authors Seek Meta's Torrent Client Logs and Seeding Data In AI Piracy Probe

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