Most argue training with copyrighted data is fair use.

AI companies have all kinds of arguments against paying for copyrighted content::The companies building generative AI tools like ChatGPT say updated copyright laws could interfere with their ability to train capable AI models. Here are comments from OpenAI, StabilityAI, Meta, Google, Microsoft and more.

  • MnemnosyneEnglish
    35·
    1 year ago

    It can only produce models that we tune on datasets. Those datasets being copywritten content.

    That’s called learning. You learn by taking in information, then you use that information to produce something new.

    • echo64@lemmy.worldEnglish
      7·
      1 year ago

      It isn’t. Statistical models do not learn. That’s just how we anthropomorphic them. They bias.

        • echo64@lemmy.worldEnglish
          5·
          1 year ago

          no, you literally can not. Maybe if you were a techbro that doesn’t really understand how the underlying systems work but you have seen sci-fi and want to use that to describe the current state of technology.

          but you’re still wrong if you try.

          • Bgugi@lemmy.worldEnglish
            11·
            1 year ago

            Yes, you literally can. At the very deepest level, neural networks work in essentially the same way actual neurons do. All “learning,” artificial or not, is biasing the interconnections and firing rates between nodes “biasing” them for desired outputs.

            Humans are a lot more complicated in terms of size and architecture. Our processing has many more layers of abstraction and processing (understanding, emotion, and who knows what else). But fundamentally the same process is occuring: inputs + rewards = biases. Inputs + biases = outputs.

            • echo64@lemmy.worldEnglish
              2·
              1 year ago

              At the very deepest level, neural networks work in essentially the same way actual neurons do.

              they do not, neural networks were inspired by neurons, it’s a wild oversimplification of both neural networks and neurons to state that hey work the same way, they do not. This is the kind of thing the sci-fi watching tech bros will say, but it’s incorrect to say.