Wow, thanks, I have not seen this comment, yet I hinted about this in some of my other replies that I’ve done before.
Yes, I think ML is fair use, but there it would also be fair to force something into the public domain/open source if, in order to be accrued, it has to make use of fair use at unseen amounts of scale.
This would be a difficult to make law, though. Current ML is very inefficient in the amount of data it requires, but it could (and should) be made better.
It’s not AI
It’s not AGI, it’s not general intelligence, and it’s not comparable to a human (well, you can compare anything, but human and ML are just very different things in tons of ways).
But it is AI. The ghosts that chase Pacman are AI. A search algorithm is also AI, dammit. Of course an LLM is AI. Any agent that maximizes a function is AI. You are just embarrassing yourself.
But then it does go on to quote materials verbatim, which shows it’s not “just” ‘extracting patterns’.
Is is just extracting patterns. Is making statistical samples of which token (“word”, informally speaking) is likely followed given the previous stream.
It can only reproduce passages of things it has seen many, many times. I cannot reproduce the whole work. Those two quotes can be seen elsewhere on the internet plenty of times. And it’s fair use there, so it would be fair use with a chat bot as well.
There have been papers published where researchers were able to regenerate an image that was present in the training set of Stable Diffusion. But they were only able to find that image (and others) in particular, because they were present in the training set multiple times, and the caption was the same (it was the portrait picture of some executive at a company).
when given the book and pages — quote copyrighted works
Yeah, you are not gonna be able to do that with an LLM. They will be able to quote only some passages, and only of popular books that have been quoted often enough.
Even if they started to use my service to literally copy entire books?
You cannot do that with an LLM.
Why are you defending massive corporations who could just pay up? Isn’t the whole “corporations putting profits over anything” thing a bit… seen already?
I hate that some corporations are burning money, resources and energy on this, and the solution is not to restrict fair use even further. Machine Learning is complex, but if I had to summarize in some way is “just” gathering statistics of which word comes next (in the case of a text model). This is no different than getting a large corpus of text, and sample it for word frequency, letter frequency, N-gram frequency, etc. It is well known that this is fair use. You only store the copyrighted works to run the software and produce a very transformative work that is a summary many orders of magnitude smaller than the copyrighted work. This is fair use, and it should still be. Changing that is gonna harm the public, small companies and independent researchers way more than big tech companies.
As I said in another comment, I would very much welcome a way to force big corpos to release their models. Make a model bigger than N parameters? You needed too much fair use in one gulp: your model has to be public, and in the public domain. I would fucking welcome that! But going in the opposite direction is just risky.
I don’t understand why small individuals think that copyright is their friend, and will protect them from big tech companies. Copyright will always harm the weak and protect the powerful as a net result. It’s already a miracle that we can enjoy free software and culture by licenses that leverage copyright in our favor.
“Theft” is never a technically accurate word when dealing with the so called “intellectual property”, because the digital content being copied without authorization is legal in tons of cases, and because, come on, property is very explicitly exclusive. I cannot copy my house or my car, but I can make copies of my works for virtually 0 cost.
Using data for training ML models is even explicitly allowed in some jurisdictions (e.g. Japan), and is likely to be fair use everywhere else. LLMs are very transformative, and while they often can produce verbatim copies of fragments of copyrighted works, they don’t store the whole works or significant pieces of them.
Don’t get me wrong, I don’t like big companies making big money. I would not mind a law that would force models to be open sourced. But restricting them to train their models on public data by restricting fair use, it would harm them very little (they could pay something if they are making some profit), while small researchers or companies would never be able to compete, because they would not have the upfront costs, nor the economic engineering to disguise profits and pay less.
I’m not fully sure what the intent of the joke is, but note that yes, it’s true that a header typically just has the prototype. However, tons of more advanced libraries are “header-only”. Everything is in a single header originally, in development, or it’s a collection of headers (that optionally gets “amalgamated” as a single header). This is sometimes done intentionally to simplify integration of the library (“just copy this files to your repo, or add it as a submodule”), but sometimes it’s entirely necessary because the code is just template code that needs to be in a header.
C++ 20 adds modules, and the situation is a bit more involved, but I’m not confident enough of elaborating on this. :) Compile times are much better, but it’s something that the build system and the compilers needs to support.
You entirely ignored this part.
You basically proved my point in doing so, BTW. You cannot do what you claimed with an LLM. And I’m not saying, and I never said before “ChatGPT” or “OpenAI”. I don’t understand why you think that I might be “defending these hypocritical companies”, when I literally said the opposite at the end.
You are entirely fooled by the output of ChatGPT and you are not arguing in good faith (or you are entirely unable to understand what I said).