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What is ML if not interpolation and extrapolation?




A million things.

Diffusion, back propagation, attention, to name a few.


Back prop and attention are just extensions of interpolation.

By that logic it's all "just linear maths".

Back prop requires and limits to analytically differentiable in a normal way.

Attention is... Oh dear comparing linear regression to attention is comparing a diesel jet engine to a horse.


It's all just a series of S(S(S(....S(0)))) anyways.



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