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> Until we start thinking from the ground up how to build and engineer systems that reflect the human brain, we're essentially wandering around in the dark with perhaps only a piece of what we _think_ is needed for intelligence.

I have wanted an approach based on a top-down architectural view of the human brain. By simulating the different submodules of the human brain (many of which are shared across all animal species), maybe we can make more progress.

https://diyhpl.us/~bryan/papers2/neuro/cognitiveconsilience/...

Machine learning might be a part of the equation at lower levels, although looking at the hippocampus prostheses those only required a few equations:

https://en.wikipedia.org/wiki/Hippocampal_prosthesis#Technol....



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