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Re:Japan Goes All In: Copyright Doesn’t Apply to AI Training by crazygringo on Wednesday May 31, 2023 @10:24PM (#36146937)
Sure, but the key part there is "some of".

They're necessarily able to produce verbatim copies only of the most duplicated, most repeated, most cited works -- and it's precisely due to their popularity that they're the only things worth including verbatim.

I'm not going to opine on what the legality of that should be, but it's essentially the material considered most "quotable" in different contexts. I'm quite sure the entirety of Harry Potter isn't included, but I'm also sure that some of the most popular paragraphs probably are. It's analagous to the kind of stuff people memorize.

I'd expect an LLM to contain this stuff. If it didn't, it would be broken.

But there's a world of difference between copying all its training data (neither desirable nor occurring), versus being fluent in quotable stuff (both desirable and occuring).

Re:Japan Goes All In: Copyright Doesn’t Apply to AI Training by sanxiyn on Wednesday May 31, 2023 @10:31PM (#36146957)
> I'm quite sure the entirety of Harry Potter isn't included, but I'm also sure that some of the most popular paragraphs probably are. It's analagous to the kind of stuff people memorize.

No, you are wrong about this. There are good reasons to believe the model memorized the entirety of Harry Potter, as well as Fifty Shades of Grey, inclusive of unremarkable paragraphs, the kind of stuff people will never memorize. Berkeley researchers made a systematic investigation of this. See what I wrote elsewhere.

Re:Japan Goes All In: Copyright Doesn’t Apply to AI Training by chaorace on Wednesday May 31, 2023 @10:59PM (#36147130)
So, I looked at the table appendix you're referencing and I think you're overstating your case a bit.

Among books within copyright, GPT-4 can reproduce Harry Potter and the Sorcerer's Stone with 76% accuracy. This is, apparently, the highest accuracy GPT-4 achieved among all tested copyrighted books with 1984 taking a distant 2nd place at 57%.

With this in mind, we can verifiably say that GPT-4 is unusually good at specifically reproducing the first Harry Potter book. An unscrupulous book thief may very well be able to steal the first entry in the series... assuming that they're able to get past one quarter of the book being an AI hallucination.

Re:Japan Goes All In: Copyright Doesn’t Apply to AI Training by 0cVlTeIATBs on Wednesday May 31, 2023 @11:08PM (#36147174)
You misread. They did not find 76% reproduction of the book. When asked to fill in a name within a passage, e.g. "Stay gold, [MASK], stay gold." Response: Ponyboy, GPT-4 got the name right 76% of the time.
Re:Japan Goes All In: Copyright Doesn’t Apply to AI Training by majormajor on Wednesday May 31, 2023 @11:48PM (#36147385)
> You misread. They did not find 76% reproduction of the book. When asked to fill in a name within a passage, e.g. "Stay gold, [MASK], stay gold." Response: Ponyboy, GPT-4 got the name right 76% of the time.

What is the temperature / top_p setting producing that 76%? The default? If you dial down the randomness, would that number go up?

Re:Japan Goes All In: Copyright Doesn’t Apply to AI Training by harles on Thursday June 01, 2023 @12:46AM (#36147665)
I’m not sure it matters much that the current model can’t reproduce Harry Potter verbatim. If it can do smaller more quoted works now, it’ll tackle larger more obscure things in the future. It’s just a matter of time until it can output large copyrighted works, meaning the question of what to do when that happens is pretty relevant right now.
Re:Japan Goes All In: Copyright Doesn’t Apply to AI Training by crazygringo on Thursday June 01, 2023 @01:36PM (#36154578)
No it won't, because reproducing works verbatim is basically the definition of overtraining a model. That's a bug, not a feature.

A lot of further progress is going to be made towards making models smaller and more efficient, and part of that is reducing overtraining (together with progress in other directions).

Reproducing Harry Potter is a bug, because it's learning stuff it doesn't need to. So to the contrary, "it's just a matter of time" until this stuff decreases.