

It’s not infinite! If you take my cherry picked estimate of the computational power of the human brain, you’ll see we’re just one more round of scaling to have matched the human brain, and then we’re sure to have AGI and make our shareholders immense profits! Just one more scaling, bro!




So, I actually agree broadly with you in the abstract principle but I’ve increasingly come around to it being computationally intractable for various reasons. But even if functionalism is correct…
We don’t have the neurology knowledge to do a neural-level simulation, and it would be extremely computationally expensive to actually simulate all the neural features properly in full detail, well beyond the biggest super computers we have now and “moore’s law” (scare quotes deliberate) has been slowing down such that I don’t think we’ll get there.
A simulation from the physics level up is even more out of reach in terms of computational power required.
As you say:
We really really don’t have the neuroscience/cognitive science to find a more efficient way. And it is possible all of the neural features really are that important to overall cognition, so you won’t be able to do it that much more “efficiently” in the first place…
Lesswrong actually had someone argue that the brain is within an order or magnitude or two of the thermodynamic limit on computational efficiency: https://www.lesswrong.com/posts/xwBuoE9p8GE7RAuhd/brain-efficiency-much-more-than-you-wanted-to-know