• custard_swollower@lemmy.world
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      1 year ago

      If you do stuff, earn from it, and ignore parties and their rights, you are forced to compensate. I guess it will be peanuts though.

      • GiveMemes@jlai.lu
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        1 year ago

        They could shut down the previous models that were trained on invalid works. Sucks to suck but that’s what you get when you do everything in your power to skirt the law.

        • custard_swollower@lemmy.world
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          1 year ago

          Yeah, and the same thing would happen if e.g. PII or HIPAA related would end up in trained model. The fact that some PII or health data ended up being publicly available, doesn’t mean that automatically you can process or store such data, and train on such data.

          • RaoulDook@lemmy.world
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            1 year ago

            This has already been proven by google security researchers who got several of the big “AI” bots to spit out copyrighted materials and PII from their training data sets which the “AI” creators claimed was not stored.

            • stephen01king@lemmy.zip
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              1 year ago

              It’s not stored as the full material though. If a human that can sing a copyrighted song is not considered to have a recording of the copyrighted song in their brain, so too are LLMs able to spit out their training data without having to store them.

              • RaoulDook@lemmy.world
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                1 year ago

                How do you know what it’s storing? I certainly don’t, but I know what the security researchers have found that proved it was storing copyrighted material and real people’s private info or PII.

                • stephen01king@lemmy.zip
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                  1 year ago

                  You being able to spit people’s name and personal details doesn’t mean you are keeping a database of those details in your brain. It’s all just neurons and the connection between them that can be triggered to extract those details out.

                  LLMs also attempt to mimic this method of not storing direct information, but tweaking parameters to ‘learn’ the information. Inside LLMs are just a bunch of parameters that if not well-designed, can be made to spit out what they have learnt. That doesn’t mean they store those information as is.