Meta CEO Mark Zuckerberg appears to have used YouTube and its battle to take down pirated content to defend his own company’s use of a data set containing copyrighted e-books to train AI models, newly released snippets of his deposition reveals, reports techcrunch.
The deposition, which was part of a complaint submitted to the court by plaintiffs’ attorneys, is related to AI copyright case Kadrey v. Meta. It’s one of many such cases winding through the U.S. court system that’s pitting AI companies against authors and other IP holders. For the most part, the defendants in these cases – AI companies – claim that training on copyrighted content is “fair use.” Many copyright holders disagree.
“For example, YouTube, I think, may end up hosting some stuff that people pirate for some period of time, but YouTube is trying to take that stuff down,” Zuckerberg said during his deposition, according to portions of a transcript made available Wednesday night. “And the vast majority of the stuff on YouTube, I would assume, is kind of good and they have the license to do.”
Snippets from Zuckerberg’s deposition provide some clues of Zuckerberg’s thinking on copyright content and fair use. However, it should be noted that a full transcript of the deposition was not released. TechCrunch has reached out to Meta for additional context and will update the article if the company responds.
Based on the deposition nuggets, Zuckerberg appears to be defending Meta’s use of a training data set of e-books called LibGen to develop its family of AI models known as Llama. Meta’s Llama competes against flagship models from AI companies like OpenAI.
LibGen, which describes itself as a “links aggregator,” provides access to copyrighted works from publishers including Cengage Learning, Macmillan Learning, McGraw Hill, and Pearson Education. LibGen has been sued a number of times, ordered to shut down, and fined tens of millions of dollars for copyright infringement.
According to court filings unsealed this week, Zuckerberg allegedly cleared the use of LibGen to train at least one of Meta’s Llama models despite concerns within the company’s AI exec and research teams over the legal implications.
Counsel for the plaintiffs, who include bestselling authors Sarah Silverman and Ta-Nehisi Coates, quoted Meta employees as referring to LibGen as a “data set we know to be pirated” and flagging that its use “may undermine [Meta’s] negotiating position with regulators,” according to a legal filing,
During his deposition, Zuckerberg claimed he “hadn’t really heard of” LibGen.
“I get that you’re trying to get me to give an opinion of LibGen, which I haven’t really heard of,” said Zuckerberg during the deposition. “It’s just that I don’t have knowledge of that specific thing.”
Under questioning from one of the plaintiffs’ attorneys, David Boies, Zuckerberg explained why it would be unreasonable to prohibit using a data set like LibGen.
“So would I want to have a policy against people using YouTube because some of the content may be copyrighted? No,” he said. “[T]here are cases where having such a blanket ban might not be the right thing to do.”
Zuckerberg did state that Meta should be “pretty careful about” training on copyrighted material.
“You know, [if there’s] someone who’s providing a website and they’re intentionally trying to violate people’s rights … obviously it’s something that we would want to be cautious about or careful about how we engaged with it or maybe even prevent our teams from engaging with it,” Zuckerberg said during his deposition, according to the transcript.
In the Kadrey v. Meta case, plaintiffs have filed an amended complaint accusing Meta of using pirated books from LibGen and Z-Library to train its Llama AI models. The filing alleges Meta cross-referenced pirated books with licensed ones to determine potential licensing deals and hid the use of copyrighted materials by inserting "supervised samples" in Llama's fine-tuning. It also claims Meta downloaded pirated e-books as recently as April 2024. Z-Library has faced legal actions for copyright infringement in the past.
Bd-pratidin English/ Afia
