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Maybe this is true? But it's not clear to me this methodology will ever be quite as good as native tool calling. Or maybe I don't know the benchmark well enough, I just assume it's vision based

Perhaps Tesla FSD is a similar example where in practice self driving with vision should be possible (humans), but is fundamentally harder and more error prone than having better data. It seems to me very error prone and expensive in tokens to use computer screens as a fundamental unit.

But at the same rate, I'm sure there are many tasks which could be automated as well, so shrug



Looks like RPA vs API debate all over again




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