I mean if two painters make similar enough strokes with similar enough paint you get two essentially identical paintings. Hunting the solution space for an NN can be like working through all orderings of a card deck, that’s to say very far from as trivial as you’re making it sound and about as silly as the example I gave above.

I’m not sure exploring just a few examples in the ocean of essentially infinite examples or analogies does much for us both beyond picking something and arguing which is more accurate. Obviously you’re arguing the more useless examples are more accurate and I’m arguing NN have real world use and vakue as shown at least by alpha fold. I would say your basis of argument is more incorrect from the reality we’re sharing and I’m well aware of the pros and cons of what we’re dealing with.

Neural networks are a valuable technology for humanity, to say otherwise is to be blind to reality. That said there’s plenty of actually legitimate arguments one could wage about their current development and use.

Tldr: you be hating too hard, chill my friend.