Judge dismisses authors' copyright lawsuit against Meta over AI training
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This is the notorious lawsuit from a year ago:
a group of well-known writers that includes comedian Sarah Silverman and authors Jacqueline Woodson and Ta-Nehisi Coates
The judge enforces that AI training is fair use:
But the actual process of an AI system distilling from thousands of written works to be able to produce its own passages of text qualified as “fair use” under U.S. copyright law because it was “quintessentially transformative,” Alsup wrote.
This is a second judgement of this type this week.
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Bad judgement.
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This is the notorious lawsuit from a year ago:
a group of well-known writers that includes comedian Sarah Silverman and authors Jacqueline Woodson and Ta-Nehisi Coates
The judge enforces that AI training is fair use:
But the actual process of an AI system distilling from thousands of written works to be able to produce its own passages of text qualified as “fair use” under U.S. copyright law because it was “quintessentially transformative,” Alsup wrote.
This is a second judgement of this type this week.
Alsup? Is this the same judge who also presided over Oracle v. Google over the use of Java in Android? That guy really does his homework over cases he presides on, he learned how to code to see if APIs are copyrightable.
As for the ruling, I'm not in favour of AI training on copyrighted material, but I can see where the judgement is coming from. I think it's a matter of what's really copyrightable: the actual text or images or the abstract knowledge in the material. In other words, if you were to read a book and then write a summary of a section of it in your own words or orally described what you learned from the book to someone else, does that mean copyright infringement? Or if you watch a movie and then describe your favourite scenes to your friends?
Perhaps a case could be made that AI training on copyrighted materials is not the same as humans consuming the copyrighted material and therefore it should have a different provision in copyright law. I'm no lawyer, but I'd assume that current copyright law works on the basis that humans do not generally have perfect recall of the copyrighted material they consume. But then again a counter argument could be that neither does the AI due to its tendency to hallucinate sometimes. However, it still has superior recall compared to humans and perhaps could be the grounds for amending copyright law about AI training?
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Terrible judgement.
Turn the K value down on the model and it reproduces text near verbatim.
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Alsup? Is this the same judge who also presided over Oracle v. Google over the use of Java in Android? That guy really does his homework over cases he presides on, he learned how to code to see if APIs are copyrightable.
As for the ruling, I'm not in favour of AI training on copyrighted material, but I can see where the judgement is coming from. I think it's a matter of what's really copyrightable: the actual text or images or the abstract knowledge in the material. In other words, if you were to read a book and then write a summary of a section of it in your own words or orally described what you learned from the book to someone else, does that mean copyright infringement? Or if you watch a movie and then describe your favourite scenes to your friends?
Perhaps a case could be made that AI training on copyrighted materials is not the same as humans consuming the copyrighted material and therefore it should have a different provision in copyright law. I'm no lawyer, but I'd assume that current copyright law works on the basis that humans do not generally have perfect recall of the copyrighted material they consume. But then again a counter argument could be that neither does the AI due to its tendency to hallucinate sometimes. However, it still has superior recall compared to humans and perhaps could be the grounds for amending copyright law about AI training?
Your last paragraph would be ideal solution in ideal world but I don't think ever like this could happen in the current political and economical structures.
First its super easy to hide all of this and enforcement would be very difficult even domestically. Second, because we're in AI race no one would ever put themselves in such disadvantage unless its real damage not economical copyright juggling.
People need to come to terms with these facts so we can address real problems rather than blow against the wind with all this whining we see on Lemmy. There are actual things we can do.
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Terrible judgement.
Turn the K value down on the model and it reproduces text near verbatim.
Ah the Schrödinger's LLM - always hallucinating and also always accurate
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Alsup? Is this the same judge who also presided over Oracle v. Google over the use of Java in Android? That guy really does his homework over cases he presides on, he learned how to code to see if APIs are copyrightable.
As for the ruling, I'm not in favour of AI training on copyrighted material, but I can see where the judgement is coming from. I think it's a matter of what's really copyrightable: the actual text or images or the abstract knowledge in the material. In other words, if you were to read a book and then write a summary of a section of it in your own words or orally described what you learned from the book to someone else, does that mean copyright infringement? Or if you watch a movie and then describe your favourite scenes to your friends?
Perhaps a case could be made that AI training on copyrighted materials is not the same as humans consuming the copyrighted material and therefore it should have a different provision in copyright law. I'm no lawyer, but I'd assume that current copyright law works on the basis that humans do not generally have perfect recall of the copyrighted material they consume. But then again a counter argument could be that neither does the AI due to its tendency to hallucinate sometimes. However, it still has superior recall compared to humans and perhaps could be the grounds for amending copyright law about AI training?
Acree 100%
Hope we can refactor this whole copyright/patent concept soon..
It is more a pain for artists, creators, releasers etc.
I see it with EDM, I work as a Label, and do sometimes produce a bit
Most artists will work with samples and presets etc. And keeping track of who worked on what and who owns how much percent of what etc. just takes the joy out of creating..
Same for game design: You have a vision for your game, make a poc, and then have to change the whole game because of stupid patent shit not allowing you e.g. not land on a horse and immediately ride it, or throwing stuff at things to catch them…
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Acree 100%
Hope we can refactor this whole copyright/patent concept soon..
It is more a pain for artists, creators, releasers etc.
I see it with EDM, I work as a Label, and do sometimes produce a bit
Most artists will work with samples and presets etc. And keeping track of who worked on what and who owns how much percent of what etc. just takes the joy out of creating..
Same for game design: You have a vision for your game, make a poc, and then have to change the whole game because of stupid patent shit not allowing you e.g. not land on a horse and immediately ride it, or throwing stuff at things to catch them…
I'm inclined to agree. I hate AI, and I especially hate artists and other creatives being shafted, but I'm increasingly doubtful that copyright is an effective way to ensure that they get their fair share (whether we're talking about AI or otherwise).
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Bad judgement.
Any reason to say that other than that it didn't give the result you wanted?
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I'm inclined to agree. I hate AI, and I especially hate artists and other creatives being shafted, but I'm increasingly doubtful that copyright is an effective way to ensure that they get their fair share (whether we're talking about AI or otherwise).
In an ideal world, there would be something like a universal basic income, which would reduce the pressure on artists that they have to generate enough income with their art, this would allow artists to make art less for mainstream but more unique and thus would, in my opinion, allow to weaken copyright laws
Well, that would be the way I would try to start change.
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Ah the Schrödinger's LLM - always hallucinating and also always accurate
"hallucination refers to the generation of plausible-sounding but factually incorrect or nonsensical information"
Is an output an hallucination when the training data involved in the output included factually incorrect data? Suppose my input is "is the would flat" and then an LLM, allegedly, accurately generates a flat-eather's writings saying it is.
