this post was submitted on 23 May 2025
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[–] [email protected] 3 points 4 hours ago

I think the word "learning", and even "training", is an approximation from a human perspective. MLs "learn" by adjusting parameters when processing data. At least as far as I know, the base algorithm and hyperparameters for the model are set in stone.

The base algorithm for "living" things is basically only limited by chemistry/physics and evolution. I doubt anyone could create an algorithm that advanced any time soon. We don't even understand the brain or physics at the quantum level that well. Hell, we are using ML to create new molecules because we don't understand it well.