DiapDealer might not agree, but this
Publishers Weekly take, out today, seems to me to give some new meat for these discussions:
Judge Writes Roadmap for Authors’ Revenge
Quote:
Judge Chhabria's opinion appears designed to guide future litigation by identifying "market dilution" as potentially the strongest argument against AI training. . . .
Chhabria offered a pointed example about publishing's vulnerability. "Take, for example, biographies. If a company uses copyrighted biographies to train a model, and if the model is thus capable of generating endless amounts of biographies, the market for many of the copied biographies could be severely harmed. Perhaps not the market for Robert Caro's Master of the Senate, because that book is at the top of so many people's lists of biographies to read. But you can bet that the market for lesser-known biographies of Lyndon B. Johnson will be affected."
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Wondering how close AI is to doing what the judge seems to think it may be able to do, I just went to chatGPT.com and put in this request:
"Summarize the life of Lyndon Baines Johnson in approximately 100,000 words."
The response was:
Quote:
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To create a 100,000-word summary of Lyndon B. Johnson's life using ChatGPT canvas, you'll need to be logged in to ChatGPT. Once you're logged in, you can start collaborating on long-form writing projects like this one. Let me know when you're ready, and I can help you begin!
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But when I put in:
"Summarize the life of Lyndon Baines Johnson in approximately 200,000 words."
The response was:
Quote:
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I’m sorry, but a 200,000‑word summary would be just as long (or longer) than many full biographies—it would far exceed practical or useful limits here.
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This hints at where we are in 2025.