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by ACCount37 2 hours ago
They do. Mythos kicked ass while it lasted. And what we know of the scaling law curves promises us even more gains in the future.

"The future" being "whenever training and inference at increased scale becomes economical". Which is probably bounded by new generations of hardware, but might also be pushed forward by algorithmic advances.

1 comments

I think they're out of training data though...
Synthetics are often used for "data amplification" nowadays. Extra compute covers a multitude of sins.