Oh I’m not basing that on the 10% mumbo jumbo, just that data capture usually over captures. Distilling it down to just the bare functional essence will result in a far smaller data set. Granted, as you noted, there are new neuron types still being discovered, so what to discard is the question.
Given the prevalence of intelligence in nature using vastly different neurons I’m not sure if you even need to have an exact emulation of the real thing to achieve the same result.
That’s capturing everything. Ultimately you need only a tiny fraction of that data to emulate the human brain.
Numenta is working on a brain model to create functional sections of the brain. Their approach is different though. They are trying to understand the components and how they work together and not just aggregating vast amounts of data.
I hope he goes to nestle.
And then you fix the bug, test and it and it still doesn’t work and it turns out you weren’t even calling the function in the first place. I’ve had that happen several times.
We’ve been baking some cakes and cookies like that in the Netherlands for decades.