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> speedup we need for ML to be truly accessible for the average developer. 50x? 100x?

The data scale (and access) is often more important than the modelling, and that doesn't have a technological fix, or at least not a purely technological fix.

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So Moore's Law is a constraint for average people as hardware costs a key factor in performance, is that right?

What I'm saying is the hardware is less of a problem than access to data, for most problems that would get you out of what you can reasonably do on a consumer accessible (cost) machine.

Unless we have widely available pre-trained models with generic knowledge that is easily transferable. Such a thing is obviously difficult, but it isn't impossible if we're talking about the future.

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