Unsealed emails reveal Meta employees knowingly used shadow libraries like LibGen and Z-Library for AI training, raising serious legal and ethical concerns.

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Reuters

United Kingdom

Meta knew it used pirated books to train AI, authors say

Meta Platforms used pirated versions of copyrighted books to train its artificial intelligence systems with approval from its CEO Mark Zuckerberg, a group of authors alleged in newly disclosed court papers.

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He had to teach his generative artificial intelligence something.

Valamivel be kellett tanítania a generatív mesterséges intelligenciáját.

Több tízmillió könyvet kalózkodhatott le a Facebook anyacége

Origo

Budapest

Hungary

Facebook's parent company may have pirated tens of millions of books

As part of the Kadrey lawsuit against Meta, Mark Zuckerberg's company is being accused of using copyrighted books to train its intelligence models...

No âmbito do processo judicial Kadrey contra a Meta, a empresa de Mark Zuckerberg está a ser acusada de ter utilizado livros protegidos por direitos de autor para treinar os seus modelos de inteligência...

Meta acusada de usar 81,7 TB de livros com direitos de autor para treinar a sua IA

Sapo

Portugal

Meta accused of using 81.7 TB of copyrighted books to train her AI

The emails made public by the prosecution show that he used Torrent files to download 81.7 TB with millions of books from pirate websites.

Los emails hechos públicos por la acusación demuestran que usó ficheros Torrent para descargar 81,7 TB con millones de libros provenientes de sitios webs piratas.

Palo a Meta: se bajó mediante Torrent docenas de millones de libros pirateados, para entrenar a su IA

20minutos

Madrid

Community of Madrid

Spain

Palo a Meta: he went down through Torrent dozens of millions of pirated books, to train his AI

Ashley Belanger / Ars Technica:
Kadrey v. Meta: unsealed emails show Meta allegedly torrented 81.7TB+ of data across multiple shadow libraries through the site Anna's Archive for AI training  —  Newly unsealed emails allegedly provide the “most damning evidence” yet against Meta in a copyright case raised by book authors alleging …

Techmeme

California

United States

Kadrey v. Meta: unsealed emails show Meta allegedly torrented 81.7TB+ of data across multiple shadow libraries through the site Anna's Archive for AI training

Meta’s alleged torrenting and seeding of pirated books complicates copyright case.

Ars Technica

Advance Publications

Meta torrented over 81.7TB of pirated books to train AI, authors say

I wouldn't put that sort of thing in writing but I'm built different.

pcgamer

Future plc

Future US

Court documents show not only did Meta torrent terabytes of pirated books to train AI models, employees wouldn't stop emailing each other about it: 'Torrenting from a corporate laptop doesn't feel right'

Meta Platforms, Inc. is facing serious allegations in a copyright infringement lawsuit, with plaintiffs claiming the tech giant used 81.7 terabytes of pirated books from shadow libraries to train its Llama AI models. The lawsuit, filed in the U.S. District… Read more → The post Meta Trained Its Llama AI Models Using 81.7 TB of Books Stolen From Torrent Shadow Libraries appeared first on IT Security News.

IT Security News - cybersecurity, infosecurity news

Meta Trained Its Llama AI Models Using 81.7 TB of Books Stolen From Torrent Shadow Libraries

Meta torrented at least 81.7TB of data across multiple shadow libraries to train its Llama AI: Mark Zuckerberg is in trouble yet again. Continue reading at TweakTown >

TweakTown

Meta accused of downloading torrents of 81.7TB of pirated books to train its Llama AI models

The lawsuit filed by Sarah Silverman, Richard Kadrey, and other writers and rights holders against Meta may be entering its most critical phase. The authors have obtained internal company emails in which Meta employees openly discussed "torrenting" well-known archives of pirated content to train more powerful AI models.Read Entire Article

Meta Accused of Torrenting 81.7TB of Pirated Books to Train AI Models

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