Pressure grows on artificial intelligence firms over the content used to train their products

‘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

    • Exatron@lemmy.worldEnglish
      387·
      8 months ago

      How hard it is doesn’t matter. If you can’t compensate people for using their work, or excluding work people don’t want users, you just don’t get that data.

      There’s plenty of stuff in the public domain.

    • HelloThere@sh.itjust.worksEnglish
      225·
      8 months ago

      I never said it was going to be easy - and clearly that is why OpenAI didn’t bother.

      If they want to advocate for changes to copyright law then I’m all ears, but let’s not pretend they actually have any interest in that.

    • deweydecibel@lemmy.worldEnglish
      92·
      8 months ago

      I can guarantee you that you’re going to have a pretty hard time finding a dataset with diverse data containing things like napkin doodles or bathroom stall writing that’s compiled with permission of every copyright holder involved.

      You make this sound like a bad thing.

    • BURN@lemmy.worldEnglish
      94·
      8 months ago

      And why is that a bad thing?

      Why are you entitled to other peoples work, just because “it’s hard to find data”?

        • BURN@lemmy.worldEnglish
          53·
          8 months ago

          People do not consume and process data the same way an AI model does. Therefore it doesn’t matter about how humans learn, because AIs don’t learn. This isn’t repurposing work, it’s using work in a way the copyright holder doesn’t allow, just like copyright holders are allowed to prohibit commercial use.

            • BURN@lemmy.worldEnglish
              3·
              8 months ago

              I’m well aware of how machine learning works. I did 90% of the work for a degree in exactly it. I’ve written semi-basic neural networks from scratch, and am familiar with terminology around training and how the process works.

              Humans learn, process, and most importantly, transform data in a different manner than machines. The sum totality of the human existence each individual goes through means there is a transformation based on that existence that can’t be replicated by machines.

              A human can replicate other styles, as you show with your example, but that doesn’t mean that is the total extent of new creation. It’s been proven in many cases that civilizations create art in isolation, not needing to draw from any previous art to create new ideas. That’s the human element that can’t be replicated in anything less than true General AI with real intelligence.

              Machine Learning models such as the LLMs/GenerativeAI of today are statistically based on what it has seen before. While it doesn’t store the data, it does often replicate it in its outputs. That shows that the models that exist now are not creating new ideas, rather mixing up what they already have.