The Real Problem With John Carreyrou and other authors bring new lawsuit against six major AI companies in 2025
What Is This About?
Overview
A group of writers, including Theranos whistleblower and “Bad Blood” author John Carreyrou, is filing a lawsuit against Anthropic, Google, OpenAI, Meta, xAI, and Perplexity, accusing the companies of training their models on pirated copies of their books If this sounds familiar, it’s because another set of authors already filed a class action suit against Anthropic for these same acts of copyright infringement In that case, the judge ruled that it was legal for Anthropic and similar AI companies to train on pirated copies of books, but that it was not legal to pirate the books in the first place
Why This Matters
While eligible writers can receive about $3,000 from the $1 5 billion Anthropic settlement, some authors were dissatisfied with that resolution — it doesn’t hold AI companies accountable for the actual act of using stolen books to train their models, which generate billions of dollars of revenue According to the new lawsuit, the plaintiffs say that the proposed Anthropic settlement “seems to serve [the AI companies], not creators
Key Insights
” “LLM companies should not be able to so easily extinguish thousands upon thousands of high-value claims at bargain-basement rates, eliding what should be the true cost of their massive willful infringement,” the lawsuit says
Industry Impact
This development is expected to influence the technology industry, highlighting ongoing changes in innovation, competition, and adoption.
Final Thoughts
As the technology landscape continues to evolve, stories like this demonstrate why staying informed is increasingly important.
Why This Matters Right Now
This issue is becoming increasingly important as cost, risk, and long-term impact are drawing attention from businesses and users alike.
Real-World Impact
In real-world scenarios, this development could influence decision-making, technology adoption, and competitive positioning.
Risks and Limitations
Despite its potential, there are concerns related to scalability, security, regulatory challenges, and hidden costs.
Final Thoughts
Understanding this topic early can help readers make informed decisions and prepare for what comes next.
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