This thread by @fchollet, applied to Bayesianism, is the basic counterargument to the last ten years of “AGI as existential threat”.https://twitter.com/fchollet/status/1010988618993655808 …
Individual neurons are fairly indeterministic. A large part of synaptic connectivity may just serve normalization. Effective complexity comes down to how many neurons we need to allocate, identify, learn and compute a particular function reliably enough.
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Your claim is now that (a) the complexity of neuron-level interaction is actually irrelevant to whole brain simulation, and that (b) we can simulate a brain with far fewer neurons than are actually found in humans. Do you have any arguments for this?
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(a) I don’t think that whole brain simulation is the way to go if you use a different computational substrate. (b) Yes, but that is a highly speculative and weak claim on my part, based on the low firing rate and reliability of neurons, and the high price of of random access.
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