Authors Claim AI Company Anthropic Used Pirated Data for Model Training

user avatar

by Giorgi Kostiuk

2 years ago

Made with AI


  1. Lawsuit Against Anthropic
  2. Copyright Infringement Allegations
  3. Context and Commentary

  4. Three authors have filed a class-action suit against artificial intelligence company Anthropic for copyright infringement, claiming the company used pirated versions of their works to train its Claude family of large language models (LLMs).

    Lawsuit Against Anthropic

    Plaintiffs Andrea Bartz, Charles Graeber and Kirk Wallace Johnson are journalists and authors of popular fiction and nonfiction. They allege that Anthropic knowingly used data sets that “were comprised of a trove of copyrighted content sourced from pirate websites.”

    Copyright Infringement Allegations

    Anthropic could have obtained licenses to use the material it took, the suit alleges, but instead “made the deliberate decision to cut corners and rely on stolen materials to train their models.”

    Quote (CITE_W_A): “Throughout its existence, Anthropic has cloaked itself in the rhetoric of ‘AI safety’ and ‘responsibility.’ Its actions, however, have made a mockery of its lofty goals,” the suit states.

    Context and Commentary

    The suit, filed in the Northern California District Court, also attempts to frame its allegations in a larger context. Goldman Sachs estimates that generative AI could replace 300 million full-time jobs in the near future. Already, writers report losing income from copywriting, journalism, and online content writing.

    Quote (CITE_NA): “In the last two years, a thriving licensing market for copyrighted training data has developed. A number of AI companies, including OpenAI, Google, and Meta, have paid hundreds of millions of dollars to obtain licenses to reproduce copyrighted material for LLM training.”

    The plaintiffs ask the court to rule on whether Anthropic infringed on authors’ copyrights, whether the company’s actions constitute fair use, whether the members of the class action were harmed and are entitled to damages and whether Anthropic acted willfully in its alleged infringement.

Tier I

Sector: #18291

Sealed Hiding Place Room

Resource Cache

Resource Cache

Tier I

Requires 25% Tier Progress to Claim
Meme Cache

Meme Cache

Tier I

Requires 50% Tier Progress to Claim
Equipment Cache

Equipment Cache

Tier I

Requires 75% Tier Progress to Claim

After collecting, hiding places will be stored in your inventory and can be opened with Keys.

Other news

AI Agents May Become New Bitcoin Users with pi402

The introduction of pi402 may lead to autonomous AI agents becoming a new category of Bitcoin users.

user avatarGustavo Mendoza

Lightning Labs Unveils New Bitcoin Payment Technology for AI Agents

Lightning Labs has launched pi402, a new technology enabling AI coding agents to make payments directly using Bitcoin.

user avatarRajesh Kumar

Chainstack Expands Incident Report on Security Breach

Chainstack has updated its incident report detailing an October security breach caused by access control failures.

user avatarMiguel Rodriguez

Sygnum Launches ETH Alpha Fund Targeting 8-10% Annual Returns

Sygnum has launched its ETH Alpha Fund targeting annual returns of 8-10% for professional investors, combining staking with various strategies.

user avatarLuis Flores

Chainlink and Moody's Ratings Complete Crosschain Distribution Pilot

Chainlink and Moody's Ratings have successfully completed a pilot project utilizing the CrossChain Interoperability Protocol to distribute credit information across multiple networks.

user avatarArif Mukhtar

Solana Foundation Plans Custom Rings for Institutions

The Solana Foundation is working on Custom Rings for institutions, expected to provide configurable privacy and auditor access.

user avatarDavid Robinson

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.