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Evolution is a process that blindly accumulates beneficial mutations, that seems somewhat different from learning.

It’s easy to prove that just because a process is driven by a characteristic doesn’t necessarily mean the output of that process would also. Example: when I grocery shop while hungry, that hunger may cause me to make irrational decisions, but the collection of items I buy aren’t themselves hungry.

Learning is the mostly blind accumulation of knowledge that will hopefully be beneficial (and not detrimental to the excess of that benefit, which is not a given) in the future. Targeted study is the exception, even for humans.

This is also a somewhat better description of evolution than yours because benefit in excess of detriment is not a guarantee and the process is not blind (because animals breed selectively).

Yes and what’s more is that natural selection is a loss minimization function, similar to gradient descent

Evolution is alive? Learning? What exactly is evolution anymore?

I am honestly surprised to see this downvoted on HN. Everything is a learning system in the thermodynamic sense.

Hint: ML is just thermodynamics re-implemented in software.