shadow libraries

judge:-pirate-libraries-may-have-profited-from-meta-torrenting-80tb-of-books

Judge: Pirate libraries may have profited from Meta torrenting 80TB of books

It could certainly look worse for Meta if authors manage to present evidence supporting the second way that torrenting could be relevant to the case, Chhabaria suggested.

“Meta downloading copyrighted material from shadow libraries” would also be relevant to the character of the use, “if it benefitted those who created the libraries and thus supported and perpetuated their unauthorized copying and distribution of copyrighted works,” Chhabria wrote.

Counting potential strikes against Meta, Chhabria pointed out that the “vast majority of cases” involving “this sort of peer-to-peer file-sharing” are found to “constitute copyright infringement.” And it likely doesn’t help Meta’s case that “some of the libraries Meta used have themselves been found liable for infringement.”

However, Meta may overcome this argument, too, since book authors “have not submitted any evidence” that potentially shows how Meta’s downloading may perhaps be “propping up” or financially benefiting pirate libraries.

Finally, Chhabria noted that the “last issue relating to the character of Meta’s use” of books in regards to its torrenting is “the relationship between Meta’s downloading of the plaintiffs’ books and Meta’s use of the books to train Llama.”

Authors had tried to argue that these elements were distinct. But Chhabria said there’s no separating the fact that Meta downloaded the books to serve the “highly transformative” purpose of training Llama.

“Because Meta’s ultimate use of the plaintiffs’ books was transformative, so too was Meta’s downloading of those books,” Chhabria wrote.

AI training rulings may get more authors paid

Authors only learned of Meta’s torrenting through discovery in the lawsuit, and because of that, Chhabria noted that “the record on Meta’s alleged distribution is incomplete.”

It’s possible that authors may be able to show evidence that Meta “contributed to the BitTorrent network” by providing significant computing power that could’ve meaningfully assisted shadow libraries, Chhabria said in a footnote.

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”torrenting-from-a-corporate-laptop-doesn’t-feel-right”:-meta-emails-unsealed

”Torrenting from a corporate laptop doesn’t feel right”: Meta emails unsealed

Emails discussing torrenting prove that Meta knew it was “illegal,” authors alleged. And Bashlykov’s warnings seemingly landed on deaf ears, with authors alleging that evidence showed Meta chose to instead hide its torrenting as best it could while downloading and seeding terabytes of data from multiple shadow libraries as recently as April 2024.

Meta allegedly concealed seeding

Supposedly, Meta tried to conceal the seeding by not using Facebook servers while downloading the dataset to “avoid” the “risk” of anyone “tracing back the seeder/downloader” from Facebook servers, an internal message from Meta researcher Frank Zhang said, while describing the work as in “stealth mode.” Meta also allegedly modified settings “so that the smallest amount of seeding possible could occur,” a Meta executive in charge of project management, Michael Clark, said in a deposition.

Now that new information has come to light, authors claim that Meta staff involved in the decision to torrent LibGen must be deposed again, because allegedly the new facts “contradict prior deposition testimony.”

Mark Zuckerberg, for example, claimed to have no involvement in decisions to use LibGen to train AI models. But unredacted messages show the “decision to use LibGen occurred” after “a prior escalation to MZ,” authors alleged.

Meta did not immediately respond to Ars’ request for comment and has maintained throughout the litigation that AI training on LibGen was “fair use.”

However, Meta has previously addressed its torrenting in a motion to dismiss filed last month, telling the court that “plaintiffs do not plead a single instance in which any part of any book was, in fact, downloaded by a third party from Meta via torrent, much less that Plaintiffs’ books were somehow distributed by Meta.”

While Meta may be confident in its legal strategy despite the new torrenting wrinkle, the social media company has seemingly complicated its case by allowing authors to expand the distribution theory that’s key to winning a direct copyright infringement claim beyond just claiming that Meta’s AI outputs unlawfully distributed their works.

As limited discovery on Meta’s seeding now proceeds, Meta is not fighting the seeding aspect of the direct copyright infringement claim at this time, telling the court that it plans to “set… the record straight and debunk… this meritless allegation on summary judgment.”

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