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Very much smart people
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this post was submitted on 22 Sep 2025
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Microblog Memes
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Outside of low dimensional toy models, I don’t think we’re capable of understanding what’s happening. Even in academia, work on the ability to reliably understand trained networks is still in its infancy.
Which is funny considering that Neural Networks have been a thing since the 90s.
... 1957
Perceptrons. The math dates back to the 40s, but '57 marks the first artificial neural network.
Also 35 years is infancy in science, or at least teenage, as we see from deep learning's growing pains right now. Visualizations of neural network responses and reverse engineering neural networks to understand how they tick predate 2010 at least. Deep Dream was actually built off an idea of network inversion visualizations, and that's ten years old now.
I remember studying "Probably Approximately Correct" learning and such, and it was a pretty cool way of building axioms, theorems, and proofs to bound and reason about ML models. To my knowledge, there isn't really anything like it for large networks; maybe someday.