Thousands of authors demand payment from AI companies for use of copyrighted works

L4sBot@lemmy.worldmod to Technology@lemmy.world – 849 points –
Thousands of authors demand payment from AI companies for use of copyrighted works | CNN Business
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Thousands of authors demand payment from AI companies for use of copyrighted works::Thousands of published authors are requesting payment from tech companies for the use of their copyrighted works in training artificial intelligence tools, marking the latest intellectual property critique to target AI development.

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All this copyright/AI stuff is so silly and a transparent money grab.

They're not worried that people are going to ask the LLM to spit out their book; they're worried that they will no longer be needed because a LLM can write a book for free. (I'm not sure this is feasible right now, but maybe one day?) They're trying to strangle the technology in the courts to protect their income. That is never going to work.

Notably, there is no "right to control who gets trained on the work" aspect of copyright law. Obviously.

There is nothing silly about that. It's a fundamental question about using content of any kind to train artificial intelligence that affects way more than just writers.

I seriously doubt Sarah Silverman is suing OpenAI because she's worried ChatGPT will one day be funnier than she is. She just doesn't want it ripping off her work.

What do you mean when you say "ripping off her work"? What do you think an LLM does, exactly?

In her case, taking elements of her book and regurgitating them back to her. Which sounds a lot like they could be pirating her book for training purposes to me.

Quoting someone's book is not "ripping off" the work.

How is it able to quote the book? Magic?

So you're saying that as long as they buy 1 copy of the book, it's all good?

No, I'm not saying that. If she's right and it can spit out any part of her book when asked (and someone else showed that it does that with Harry Potter), it's plagiarism. They are profiting off of her book without compensating her. Which is a form of ripping someone off. I'm not sure what the confusion here is. If I buy someone's book, that doesn't give me the right to put it all online for free.

It's not plagiarism if it says it's her book, lol.

What are your feelings on public libraries? And does it spit out the entire book, or just excerpts?

I don't think you understand what plagiarism is. When you profit off of someone else's work, you're plagiarizing. Libraries do not profit off of anything. OpenAI, however, is a for-profit endeavor.

plagiarizing

This is taking someone's work and passing it off as your own. Did you not do a simple google search when there was some doubt to the definition, like I just did?

Did you read that?

Plagiarism can happen intentionally or unintentionally when a person uses another person's ideas or words without citing the original source. Here are four common forms of plagiarism:

  • Copying another person's words without using quotation marks or referencing the original source
  • Copying an author's words without using quotation marks but using accurate footnotes to the original source
  • Paraphrasing an author's ideas without including a reference to the original source
  • Rearranging an author's exact words, even if there is a footnote to the original source

Oh no, I plagiarized! lol

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Designing and marketing a system to plagiarize works en masse? That's the cash grab.

Can you elaborate on this concept of a LLM "plagiarizing"? What do you mean when you say that?

What I mean is that it is a statistical model used to generate things by combining parts of extant works. Everything that it "creates" is a piece of something that already exists, often without the author's consent. Just because it is done at a massive scale doesn't make it less so. It's basically just a tracer.

Not saying that the tech isn't amazing or likely a component of future AI but, it's really just being used commercially to rip people off and worsen the human condition for profit.

Everything that it “creates” is a piece of something that already exists, often without the author’s consent

This describes all art. Nothing is created in a vacuum.

No, it really doesn't, nor does it function like human cognition. Take this example:

I, personally, to decide that I wanted to make a sci-fi show. I don't want to come up with ideas so, I want to try to do something that works. I take the scripts of every Star Trek: The Search for Spock, Alien, and Earth Girls Are Easy and feed them into a database, seperating words into individual data entries with some grammatical classification. Then, using this database, I generate a script, averaging the length of the films, with every word based upon its occurrence in the films or randomized, if it's a tie. I go straight into production with "Star Alien: The Girls Are Spock". I am immediately sued by Disney, Lionsgate, and Paramount for trademark and copyright infringement, even though I basically just used a small LLM.

You are right that nothing is created in a vacuum. However, plagiarism is still plagiarism, even if it is using a technically sophisticated LLM plagiarism engine.

ChatGPT doesn't have direct access to the material it's trained on. Go ask it to quote a book to you.

That really doesn't make an appreciable difference. It doesn't need direct access to source data, if it's already been transferred into statistical data.

It does rule out "plagiarism", however, since it means it can't pull directly from any training material.

I should have asked earlier: what do you think plagiarism is?

It really doesn't. The data is just tokenized and encoded into the model (with additional metadata).

If I take the following:

Three blind mice, three blind mice See how they run, see how they run

And encode it based upon frequency: 1:{"word": "three", "qty": 2} 2:{"word": "blind", "qty": 2} 3:{"word": "mice", "qty": 2} 4:{"word": "see", "qty": 2} 5:{"word": "how", "qty": 2} 6:{"word": "they", "qty": 2} 7:{"word": "run", "qty": 2}

The original data is still present, just not in its original form. If I were then to use the data to generate a rhyme and claim authorship, I would both be lying and committing plagiarism, which is the act of attempting to pass someone else's work off as your own.

Out of curiosity, do you currently or intend to make money using LLMs? I ask because I'm wondering if this is an example of Upton Sinclair's statement "It is difficult to get a man to understand something when his salary depends on his not understanding it."

That's not how LLMs work, and no, I have no financial skin in the game. My field is software QA; I can't nail down whether it would affect me or not, because I could imagine it going either way. I do know that it doesn't matter-- legislation is not going to stop this-- it's not even going to do much to slow it down.

What about you? I find that most the hysteria around LLMs comes from people whose jobs are on the line. Does that accurately describe you?

Edit: typos

It is not literally how they work, no. But, an oversimplified approximation. Data is encoded into mathematical functions in neural network nodes but, it is still encoded data in the same way that an MP3 and WAV of a song are both still the song; the neural network is the medium.

Just because the data is stored in a different, possibly more-efficient manner doesn't mean that it is not there for all intents and purposes (I suppose one could make the argument of it being transformed into metadata but if it is able to reconstruct verbatim, this seems like a fallacy). Nor is it within free use exemptions of most IP laws to use others' copyrighted, trademarked, or copy-left data to power a commercial product in ways contrary to licensing terms.

As for my job, well, yes, I do have some anxieties in that area but as a software engineer focused in automation, tooling, and security, I suspect that my position is fairly secure. I would hope yours is too, both for youself and overall software quality. Likely there will be more demand for both of our skillsets with the CRA.

Data is encoded into mathematical functions in neural network nodes but, it is still encoded data in the same way that an MP3 and WAV of a song are both still the song; the neural network is the medium.

Here: https://www.understandingai.org/p/large-language-models-explained-with

It's not plagiarism by any definition of the word that makes sense; while the analogy may not be literal, it is perfectly analogous to suggest that learning new words from a Harry Potter book means that any book you write going forward is plagiarizing JK Rowling; the training data helps map the words in the model-- it's never used as a blueprint when predicting what word comes next in any given scenario. It's even farther away from copyright infringement-- there is no limited right granted that allows a IP holder to say how that IP can be processed. That's just not a thing. You'd have just as much leg to stand on if you suggested that Stephen King had the right to prevent people from reading his books in a room with green walls. You can't just make up new rights. Trademark law is totally insane. I don't know why you even mention it. It doesn't even have the same goals as the others.

as a software engineer

I am not so sure that this specific role is in any way secure, myself. You may come to the same conclusion after reading that link I provided-- pay attention to how rapidly the LLMs are growing in complexity. I do not wish for anyone to lose their financial security, even a stranger like you, but I can't help but look at the available information and come to that conclusion.

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