They Stole Millions of Books to Build AI — And Got Caught
They Stole Millions of Books to Build AI — And Got Caught
The companies building the AI tools you use every day — ChatGPT, Claude, Meta's Llama, Google's Gemini — quietly took millions of books without asking. Without paying. Without telling anyone. And then they built billion-dollar businesses on top of them.
This is not a rumor or a theory. It is documented in federal court filings, internal company communications disclosed under oath, and a federal judge's own written ruling.
Engineers at some of the largest AI companies in the world deliberately downloaded millions of books from known piracy repositories including LibGen, Z-Library, OceanofPDF, and Anna's Archive — a search engine that indexes multiple piracy databases simultaneously. Internal communications at Meta, disclosed during legal proceedings, showed company engineers explicitly discussing the ethics of using these databases. They discussed it. And they proceeded anyway.
Five of the largest publishing houses in the world — Hachette, Macmillan, McGraw Hill, Elsevier, and Cengage — filed a class-action lawsuit against Meta and Mark Zuckerberg personally in federal court in Manhattan. A federal judge reviewing the evidence described Meta and other AI companies as apparent serial copyright infringers.
Anthropic settled for one point five billion dollars — the largest copyright payout in the history of United States copyright law. Around half a million writers were eligible for compensation. The average payment: three thousand dollars per book. For years of work.
Six authors chose not to accept that settlement and instead filed individual lawsuits against Anthropic, OpenAI, Google, Meta, xAI, and Perplexity AI simultaneously — seeking one hundred and fifty thousand dollars per title per defendant. Those cases are active right now.
We also cover what the courts actually decided — including the first final AI copyright judgment in US history from Thomson Reuters versus Ross Intelligence, what fair use means in this context, and the nine-figure licensing deals now being signed that should have existed before any of this began.
No jargon. No speculation. Just the documented facts behind the biggest copyright theft story in the history of publishing.
Suggested Video Timestamps & Chapter Outline
00:00 - Introduction: How AI Companies Used Millions of Pirated Books
01:30 - Piracy Repositories (LibGen, Z-Library, OceanofPDF, & Anna's Archive)
03:00 - Internal Meta Communications & Ethical Discussions
04:15 - Major Publishers File Lawsuit Against Meta & Mark Zuckerberg
05:40 - Anthropic's $1.5 Billion Copyright Settlement
07:10 - Individual Authors Sue 6 Major AI Companies
08:30 - Thomson Reuters v. Ross Intelligence & What Fair Use Means
10:00 - The Shift to Nine-Figure Licensing Deals
Topics Covered:
How Meta, OpenAI, Anthropic, and Google used LibGen, Z-Library, and Anna's Archive to download pirated books for AI training
Internal Meta communications showing engineers discussed ethics and proceeded anyway
Mark Zuckerberg deposed under oath in the publishers vs Meta case
Anthropic's one point five billion dollar settlement — largest copyright payout in US history
Half a million authors eligible for three thousand dollars per book
Individual lawsuits seeking one hundred and fifty thousand dollars per title against six AI companies
The Thomson Reuters ruling — first final AI copyright judgment in US history
What fair use actually means for AI training and where it does not apply
Nine-figure licensing deals being signed now under legal pressure
💬 Given that courts ruled AI training on legitimately obtained books could be fair use but training on pirated copies is not — do you think three thousand dollars per book is fair compensation for what these companies built, or should every author whose work was used without permission receive a percentage of the AI company's ongoing revenue for as long as that AI operates? Tell me which side you land on below.
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