• David Gerard@awful.systemsOPM
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    3 months ago

    Basically there isn’t significant improvement to be had in the tokeniser, because it’s already been trained on all the data on earth. So all they have left is overengineering.

    • UnseriousAcademic@awful.systems
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      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
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        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
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          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.