‘Impossible’ to create AI tools like ChatGPT without copyrighted material, OpenAI says::Pressure grows on artificial intelligence firms over the content used to train their products

  • AntY@lemmy.world
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    11 months ago

    The main difference between the two in your analogy, that has great bearing on this particular problem, is that the machine learning model is a product that is to be monetized.

          • afraid_of_zombies@lemmy.world
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            11 months ago

            I don’t think it is. We have all these non-human stuff we are awarding more rights to than we have. You can’t put a corporation in jail but you can put me in jail. I don’t have freedom from religion but a corporation does.

            • BURN@lemmy.world
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              11 months ago

              Corporations are not people, and should not be treated as such.

              If a company does something illegal, the penalty should be spread to the board. It’d make them think twice about breaking the law.

              We should not be awarding human rights to non-human, non-sentient creations. LLMs and any kind of Generative AI are not human and should not in any case be treated as such.

              • afraid_of_zombies@lemmy.world
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                11 months ago

                Corporations are not people, and should not be treated as such.

                Understand. Please tell Disney that they no longer own Mickey Mouse.

                • BURN@lemmy.world
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                  11 months ago

                  Again, I literally already said that it’s a problem.

                  IP law is also different than granting rights to corporations. Corporations SHOULD be allowed to own IP, provided they’ve compensated the creator.

    • S410@lemmy.ml
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      11 months ago

      Not necessarily. There’s plenty that are open source and available for free to anyone willing to provide their own computational power.
      In cases where you pay for a service, it could be argued that you aren’t paying for the access to the model or its results, but the convenience and computational power necessary to run the model.