Tokens are the new computing paradigm. Everything will be re-made on top of it. We’ve had deterministic computers for 80 years, so we confuse “how computers have worked” with “how computers must work.” We’re entering the post-binary era.
uh the we found that that leads to improvement and we saw in the shirt folding example we saw like a quantitative bump from using that sort of imagination compared to not using it. At the same time I think that the model actually performed surprisingly well without that as well.
I mean I think like if you look at uh my colleagues work on say alpha fold that was a very specific model for uh protein folding and it was highly successful um and was able to really handle that domain quite well so that all of a sudden you now have this amazing tool and model that can give you answers to questions about proteins and their structure um really effectively um but it's not a general model it's a very specific one and there are other I domains where that kind of approach can work really well. Uh maybe in material science or chip design or things like that that uh will enable you to leverage the capabilities of a very accurate but but niche model uh to do things that are hard today.
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sentence stating the claim, backed by a quote and a source, kept at
korrents.com.
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else holds it.
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