this post was submitted on 13 Jul 2026
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We weren’t talking about constructing models. And where’s the skill in “using” them in this context, when the user is eventually given the exact end product they asked for, and it is as original as rehashing the training set can be?
I see that you went with the nuclear example, because all of the others seem straight up indefensible in comparison.
Problem is, I wasn’t talking about nuclear energy. Even if I did, development of nuclear energy didn’t require creating nuclear weapons at all. Yet they did, and it’s a great example of how technological achievements aren’t always a good thing.
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.
Who are you responding to?
I mean I don't know who you are personally. . . Like what details about yourself do you expect a stranger to know?
You didn’t address a single one of the points I made. I wrote a philosophical argument about technological adoption not resulting in a net benefit for humanity , historically speaking, and you chose to meander about solution spaces in neural networks and how useful these NNs are in protein folding problems? What?!
This interaction is just… weird. Assuming that you actually read my comments, you don’t seem to be able to synthesize ideas from them and formulate related answers. This last comment of yours is just odd and completely disconnected from the thread as a whole. To be honest with you, it sounds like a bot wrote it.
I literally brought up alpha fold for that exact point. Anyways, I can see you are anti-neural networks no matter what from your history. Are there any other families of algorithms you are prejudiced towards or is that the one and only?