• UnseriousAcademic@awful.systems
    link
    fedilink
    English
    arrow-up
    0
    ·
    3 months ago

    Does this mean they’re not going to bother training a whole new model again? I was looking forward to seeing AI Mad Cow Disease after it consumed an Internet’s worth of AI generated content.

    • anton@lemmy.blahaj.zone
      link
      fedilink
      English
      arrow-up
      0
      ·
      3 months ago

      If you change the tokenizer you have to retrain from scratch, but you can do so with the old, unpolluted data.

      It’s genius if you think about it,* you can waste energy and tell your investors it’s a new better model, while staying upstream from the river you pollute.
      * at least for consultants, compute providers and other middle men.

      • UnseriousAcademic@awful.systems
        link
        fedilink
        English
        arrow-up
        1
        ·
        3 months ago

        I remember one time in a research project I switched out the tokeniser to see what impact it might have on my output. Spent about a day re-running and the difference was minimal. I imagine it’s wholly the same thing.

        *Disclaimer: I don’t actually imagine it is wholly the same thing.