• FaceDeer@fedia.io
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    2 days ago

    Training doesn’t involve copying anything, so I don’t see why they wouldn’t. You need to copy something to violate copyright.

    • enumerator4829@sh.itjust.works
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      2 days ago

      There is an argument that training actually is a type of (lossy) compression. You can actually build (bad) language models by using standard compression algorithms to ”train”.

      By that argument, any model contains lossy and unstructured copies of all data it was trained on. If you download a 480p low quality h264-encoded Bluray rip of a Ghibli movie, it’s not legal, despite the fact that you aren’t downloading the same bits that were on the Bluray.

      Besides, even if we consider the model itself to be fine, they did not buy all the media they trained the model on. The action of downloading media, regardless of purpose, is piracy. At least, that has been the interpretation for normal people sailing the seas, large companies are of course exempt from filthy things like laws.

      • FaceDeer@fedia.io
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        2 days ago

        Stable Diffusion was trained on the LIAON-5B image dataset, which as the name implies has around 5 billion images in it. The resulting model was around 3 gigabytes. If this is indeed a “compression” algorithm then it’s the most magical and physics-defying ever, as it manages to compress images to less than one byte each.

        Besides, even if we consider the model itself to be fine, they did not buy all the media they trained the model on.

        That is a completely separate issue. You can sue them for copyright violation regarding the actual acts of copyright violation. If an artist steals a bunch of art books to study then sue him for stealing the art books, but you can’t extend that to say that anything he drew based on that learning is also a copyright violation or that the knowledge inside his head is a copyright violation.

        • enumerator4829@sh.itjust.works
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          1 day ago

          You assume a uniform distribution. I’m guessing that it’s not. The question isn’t ”Does the model contain compressed representations of all works it was trained on”. Enough information on any single image is enough to be a copyright issue.

          Besides, the situation isn’t as obviously flawed with image models, when compared to LLMs. LLMs are just broken in this regard, because it only takes a handful of bytes being retained in order to violate copyright.

          I think there will be a ”find out” stage fairly soon. Currently, the US projects lots and lots of soft power on the rest of the world to enforce copyright terms favourable to Disney and friends. Accepting copyright violations for AI will erode that power internationally over time.

          Personally, I do think we need to rework copyright anyway, so I’m not complaining that much. Change the law, go ahead and make the high seas legal. But set against current copyright laws, most large datasets and most models constitute copyright violations. Just imagine the shitshow if OpenAI was an European company training on material from Disney.

        • HereIAm@lemmy.world
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          2 days ago

          There’s a difference between lossy and lossless. You can compress anything down to a single bit if you so wish, just don’t expect to get everything back. That’s how lossy compression works.

          • yetAnotherUser@discuss.tchncs.de
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            2 days ago

            It’s perfectly legal to compress something to a single bit and publish it.

            Hell, if I take and publish the average color of any copyrighted image that is at least 24 bits. That’s lossy compression yet legal.

        • witten@lemmy.world
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          2 days ago

          Lol did you even read the article you linked? OpenAI isn’t disputing the fact that their LLM spit out near-verbatim NY Times articles/passages. They’re only taking issue with how many times the LLM had to be prompted to get it to divulge that copyrighted material and whether there were any TOS violations in the process.

          • FaceDeer@fedia.io
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            2 days ago

            They’re saying that the NYT basically forced ChatGPT to spit out the “infringing” text. Like manually typing it into Microsoft Word and then going “gasp! Microsoft Word has violated our copyright!”

            The key point here is that you can’t simply take the statements of one side in a lawsuit as being “the truth.” Obviously the laywers for each side are going to claim that their side is right and the other side are a bunch of awful jerks. That’s their jobs, that’s how the American legal system works. You don’t get an actual usable result until the judge makes his ruling and the appeals are exhausted.

            • witten@lemmy.world
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              2 days ago

              If a fact isn’t disputed by either side in a case as contentious as this one, it’s much more likely to be true than not. You can certainly wait for the gears of “justice” to turn if you like, but I think it’s pretty clear to everyone else that LLMs are plagiarism engines.

    • Phoenixz@lemmy.ca
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      2 days ago

      I hate lawyer speak with a passion

      Everyone knows what we’re talking about here, what we mean, and so do you

      • FaceDeer@fedia.io
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        2 days ago

        And yet if one wishes to ask:

        Did they have the right to do that?

        That is inherently the realm of lawyer speak because you’re asking what the law says about something.

        The alternative is vigilantism and “mob justice.” That’s not a good thing.