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Objective cost surfaces have been around way longer than ml. It's been in the genetic algorithm lexicon for a long time, and more true to form, in stuff like actual potential energy diagrams of high dimensional degrees of freedom spaces in enzymology. Also having been a professional biochemist and worked in AI infrastructure, I know the commonalities well and know how to avoid faux-amis.

Note that this process is NOT backpropagation.

"The fact that it makes a lot of sense to use those terms hints that we might indeed be on the right track to building AGI and understnding the life itself in general"

Nope, it's a residual of the fact that AI stole ideas from other fields, and ran with the terminology as marketing. Sometimes even to the point of extreme divergence from the original ("neural" nets).



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