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When I read your comment I trained my own mental model on your words. How is that any different? When a human reads words they apply a sophisticated theory of mind to contextualize the writing and the mental state of the author. If anything, LLM fine tuning is far less invasive than having a person read your writing.



This is an unserious argument and no one is swayed by it.


The idea that reading a piece of text constitutes copyright infringement is ridiculous. Copyright isn’t some infectious thing. Reading copyrighted text doesn’t give the copyright holder a claim to the future creative work of the reader.

You want to restrict model training, I get it. The debate is still ongoing, but I’m confident when these “copyright” claims work their way through court the AI companies will come out on top.


> The idea that reading a piece of text constitutes copyright infringement is ridiculous.

No man, it's not ridiculous. If I write a program that copies someone's book and try to sell it I'm infringing on that copyright. I cannot sell a zipped version of the Harry Potter books. I feel like there's so many people weighing in on this discussion who haven't actually done any real world copyright related stuff.


I see the source of your confusion. LLMs are not actually zips of the training dataset.


It is an incredibly common refrain amongst experts in the field that it is a compression of the dataset.

But that doesn't matter, because you clearly didn't understand what I was writing which doesn't shock me considering your position on LLMs.


> It is an incredibly common refrain amongst experts in the field that it is a compression of the dataset

This was a common idea three years ago. No one in the field seriously believes this today.


You're going to have to let a lot of scientists know that, because they're still publishing papers with that understanding. I guess they should have consulted you first.


Not their fault, hindsight is 20/20.




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