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.
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.
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.
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.
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.
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.
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?
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.
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.
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 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?