• Dapps:16.23K
  • Blockchains:78
  • Active users:66.47M
  • 30d volume:$303.26B
  • 30d transactions:$879.24M

Authors Accuse Meta of Using Pirated Books for AI Training

user avatar

by Giorgi Kostiuk

a year ago


A group of authors has sued Meta for using pirated books to train its AI models. The allegations come with the discovery of internal documents indicating the company's awareness and approval of using pirated content.

Allegations Against Meta

According to newly disclosed documents, a group of authors claims that Meta was aware of the pirated nature of the books used to train its AI systems. Authors including Ta-Nehisi Coates and Sarah Silverman allege in their California federal court filing that the company, led by Mark Zuckerberg, utilized pirated books for developing its Llama model.

Use of LibGen Dataset

It is claimed that Meta used the LibGen dataset, a large online library known to be a pirate collection, containing millions of works. Despite internal warnings, the archive was still utilized. This raises questions of content use without copyright holders' consent, potentially endangering traditional business models in the publishing industry.

Responses and Court Rulings

The judge allowed authors to submit an updated complaint despite expressing skepticism over some of the arguments presented. In 2023, district judge Vince Chhabria dismissed claims that Meta's AI-generated texts infringed authors' copyrights. However, authors were allowed to amend their claims, potentially strengthening their stance in the case.

The case highlights current challenges in copyright posed by AI use, initiating discussions on the ethics and legality of using intellectual property for training technology.

0

Rewards

chest
chest
chest
chest

More rewards

Discover enhanced rewards on our social media.

chest

Other news

Retail Investors Face Billions in Losses from TRUMP and MELANIA Memecoins

chest

Retail investors have incurred over $4 billion in losses on the official TRUMP and MELANIA memecoins, which have plummeted significantly since their launch.

user avatarElias Mukuru

Bitcoin Spot ETFs Face Largest Drawdown in History

chest

Bitcoin spot ETFs have experienced the largest drawdown in history, with a decline of 100,300 BTC following the October all-time high, reflecting a risk-off environment and institutional derisking.

user avatarDiego Alvarez

t54ai Introduces x402 Facilitator for Seamless AI Payments on XRP Ledger

chest

t54ai has launched an innovative x402 facilitator on the XRP Ledger, enabling AI agents to pay for API calls and digital services using XRP or RLUSD.

user avatarKenji Takahashi

Bitcoin Lightning Network Sees Surge in Monthly Transactions

chest

In November 2023, the Bitcoin Lightning Network saw a surge with over 11 billion transactions processed, indicating increased adoption by larger players.

user avatarMaria Fernandez

Capitulation Risk Grows for Ethereum Whales Amid Unrealized Losses

chest

Capitulation risk grows for Ethereum whales amid unrealized losses.

user avatarGustavo Mendoza

Exchange Inflows and Liquidity Dynamics Impact XRP Market

chest

A recent CryptoQuant report highlights the impact of exchange inflows and liquidity dynamics on XRP's market behavior, indicating that spikes in inflows may precede volatility expansion.

user avatarRajesh Kumar

Important disclaimer: The information presented on the Dapp.Expert portal is intended solely for informational purposes and does not constitute an investment recommendation or a guide to action in the field of cryptocurrencies. The Dapp.Expert team is not responsible for any potential losses or missed profits associated with the use of materials published on the site. Before making investment decisions in cryptocurrencies, we recommend consulting a qualified financial advisor.