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this post was submitted on 12 Jul 2023
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Technology
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To me, what is surprising is that people refuse to see the similarity between how our brains work and how neural networks work. I mean, it's in the name. We are fundamentally the same, just on different scales. I belive we work exactly like that, but with way more inputs and outputs and way deeper network, but fundamental principles i think are the same.
The difference is that somehow the nets in our brains are creating emergent behaviour while the nets in code, even with a lot more power aren't. I feel we are probably missing something pivotal in constructing them.
I'm not so sure we're missing that much personally, I think it's more just sheer scale, as well as the complexity of the input and output connections (I guess unlike machine learning networks, living things tend to have a much more 'fuzzy' sense of inputs and outputs). And of course sheer computational speed; our virtual networks are basically at a standstill compared to the paralellism of a real brain.
Just my thoughts though!