Set as Homepage - Add to Favorites

日韩欧美成人一区二区三区免费-日韩欧美成人免费中文字幕-日韩欧美成人免费观看-日韩欧美成人免-日韩欧美不卡一区-日韩欧美爱情中文字幕在线

【t?i sex v? máy】Meta’s Llama has memorized huge portions of Harry Potter

Meta's Llama model has memorized Harry Potter and t?i sex v? máythe Sorcerer's Stoneso well that it can reproduce verbatim excerpts from 42 percent of the book, according to a new study.

Researchers from Stanford, Cornell, and West Virginia University analyzed dozens of books from the now-infamous Books3 dataset, a collection of pirated books used to train Meta's Llama models. Books3 is also at the center of a copyright infringement lawsuit against Meta,Kadrey v. Meta Platforms, Inc.The study's authors say their findings could have major implications for AI companies facing similar lawsuits.

According to the research paper, the Llama 3.1 model "memorizes some books, like Harry Potterand 1984, almost entirely." Specifically, the study found that Llama 3.1 has memorized 42 percent of the first Harry Potter book so well that it can reproduce verbatim excerpts at least 50 percent of the time. Overall, Llama 3.1 could reproduce excerpts from 91 percent of the book, though not as consistently.


You May Also Like

"The extent of verbatim memorization of books from the Books3 dataset is more significant than previously described," said the paper. But the researchers also discovered that "memorization varies widely from model to model and from book to book within each model, as well as varying in different parts of individual books." For example, the study estimated that Llama 3.1 only memorized 0.13 percent of Sandman Slimby Richard Kadrey, one of the lead plaintiffs in the class action copyright suit against Meta.

So, while some of the paper's findings seem damning, don't call it a smoking gun for plaintiffs in AI copyright infringement cases.

Mashable Light Speed Want more out-of-this world tech, space and science stories? Sign up for Mashable's weekly Light Speed newsletter. By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up!

"These results give everyone in the AI copyright debate something to latch on to," wrote journalist Timothy B. Lee in his Understanding AI newsletter. "Divergent results like these could cast doubt on whether it makes sense to lump J.K. Rowling, Richard Kadrey, and thousands of other authors together in a single mass lawsuit. And that could work in Meta’s favor, since most authors lack the resources to file individual lawsuits."

Why is Llama able to reproduce some books more than others? "I suspect that the difference is because Harry Potter is a much more famous book. It's widely quoted and I'm sure that substantial excerpts from it on third-party websites found their way into the training data on the web," said James Grimmelmann, a professor of digital and information law at Cornell University, who was cited in the paper.

What this also shows, Grimmelmann said, is that "AI companies can make choices that increase or reduce memorization. It's not an inevitable feature of AI; they have control over it."

Meta and other AI companies have argued that using copyrighted works to train their models is protected under fair use, a complex legal doctrine. However, the extent of memorization could complicate those arguments.

“Yes, I do think that the likelihood that LLMs are memorizing more than previously thought changes the copyright analysis,” Robert Brauneis, a professor with the George Washington University Law School, said in an email to Mashable. He concluded that the study’s findings could ultimately weaken Meta’s fair use argument.

We asked Meta for comment on the study's findings, and we'll update this article if we receive a response.


Disclosure: Ziff Davis, Mashable’s parent company, in April filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.

0.1252s , 8092.078125 kb

Copyright © 2025 Powered by 【t?i sex v? máy】Meta’s Llama has memorized huge portions of Harry Potter,Public Opinion Flash  

Sitemap

Top 主站蜘蛛池模板: 免费的成人性视频网站 | 好黄好猛好爽好痛的视频 | 国产经典自拍视频在线观看 | 无码高清中字av | 久久久国产精品亚洲一区 | 国产精品久久久久久人妻香蕉 | 亚洲日本视频在线 | 成人国产日本亚洲精品 | 麻豆人妻无码性色 | 国产高清无码在线观看视频 | 二区三区人| 欧洲特级做A爰片久久毛片A片 | 亚洲免费视频日本一区二区 | 成人做爰WWW免费看视频日本 | 亚洲一级黄色片 | 国产成人av性色在线影院 | 日韩精品无码免费专网站 | 大桥未久日韩欧美亚洲国产 | 精品少妇人妻av免费久久洗澡 | 免费大片在线观看视频网站 | 久久久久免费精品人妻一区二区 | AV无码A片高潮AV | 99久久无色码中文字幕人妻 | 久久亚洲av成人无码电影a片 | 精品久久久中文字幕人妻 | 久久精品综合亚洲精品鲁鲁 | 四虎国产精品永久地址99 | 精品欧洲av无码一区二区三区 | 欧美人禽狂配视频在线观看 | 在线日韩伦理片 | 无码专区人妻系列日韩视频 | 亚洲综合一区二区三区四区五区 | 亚洲成人国产精品无码果冻 | 麻豆国产在线视频区 | 免费一区在线观看 | 91久久嫩草影院免费看无卡顿 | 久久久18禁一区二区三区精品 | 九九精品成人免费国产片 | 久久亚洲精品无码A片大香大香 | 蜜桃国产а乱码精品一区二区三区 | 中文在线日韩亚洲欧美 |