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#103 – Ben Goertzel: Artificial General Intelligence
Lex Fridman Podcast
Using the Deep Neural Net as an Oracle
I tend to think what the brain is doing is more like using the deep neural net type thing as an Oracle. Like I think the visual cortex or the cerebellum are probably learning a non-semagically meaningful opaque tangled representation. And then when they interface with the more cognitive parts of the cortex, the cortex is sort of using those as an Oracle and learning the abstract representation. It might be that back propagation just won't work for it because the gradients are too screwed up. Maybe you could get it to work using CMIS or some like floating point evolutionary algorithm. We tried. Eventually, we just paused that rather than gave it up. You can do similar things in vision
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