• BURN@lemmy.world
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    1 year ago

    Because a human understands and transforms the work. The machine runs statistical analysis and regurgitates a mix of what it was given. There’s no understanding or transformation, it’s just what is statistically the 3rd most correct word that comes next. Humans add to the work, LLMs don’t.

    Machines do not learn. LLMs do not “know” anything. They make guesses based on their inputs. The reason they appear to be so right is the scale of data they’re trained on.

    This is going to become a crazy copyright battle that will likely lead to the entirety of copyright law being rewritten.

    • fkn@lemmy.world
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      1 year ago

      I don’t know if I agree with everything you wrote but I think the argument about llms basically transforming the text is important.

      Converting written text into numbers doesn’t fundamentally change the text. It’s still the authors original work, just translated into a vector format. Reproduction of that vector format is still reproduction without citation.

    • Dojan@lemmy.world
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      1 year ago

      It’s also the scale of their context, not just the data. More (good) data and lots of (good) varied data is obviously better, but the perceived cleverness isn’t owed to data alone.

      I do hope copyright law gets rewritten. It is dated and hasn’t kept up with society or technology at all.

    • atzanteol@sh.itjust.works
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      1 year ago

      This is going to become a crazy copyright battle that will likely lead to the entirety of copyright law being rewritten.

      I think this is very unlikely. All of law is precedent.

      Google uses copyrighted works for many things that are “algorithmic” but not AI and people aren’t shitting themselves over it.

      Why would AI be different? So long as copyright isn’t infringed at least.