I'm not certain if that extrapolation you made of the time it takes to simulate a brain at the same abstraction level is valid. You're assuming the computation

I'm not certain if that extrapolation you made of the time it takes to simulate a brain at the same abstraction level is valid. You're assuming the computation cycles needed will scale linearly, which might not be true considering that the brain is a network of neurons, where each neuron has a high number of in/out links to many other neurons. Consider the case where you take n seconds to simulate n neurons. Now add another neuron with connections to perhaps n/2 existing neurons. You'll have to iterate over each in/out edge of that neuron. Since adding just one neuron increases the time by a non-constant factor, the resources needed would increase more than just linearly. All this of course depends on the abstraction model, and I admit I know nothing about it.