It’s probably just wrong. For a trivial disproof : I will assume as stated that human neurons are at the Landauer limit.
Well we know from measurements and other studies that nerve cells are unreliable. This failure to fire, exhausting their internal fuel supply so they stop pulsing when they should, all the numerous ways the brain makes system level errors, and the slow speed of signaling mean as a system the brain is nowhere close to optimal. (I can provide sources for all claims) That Landauer limit is for error free computations. When you inject random errors you lose information and system precision, and thus a much smaller error free system would be equal in effectiveness to the brain.
This is likely why we are hitting humanlike performance in many domains with a small fraction of the estimated compute and memory of a brain.
Also when you talk about artificial systems: human brain has no expansion ports, upload or download interfaces, any way to use a gigawatt of power to solve more difficult problems, etc.
So even if we could never do better for the 20 watts the brain uses, in practice that doesn’t matter.
It’s probably just wrong. For a trivial disproof : I will assume as stated that human neurons are at the Landauer limit.
Well we know from measurements and other studies that nerve cells are unreliable. This failure to fire, exhausting their internal fuel supply so they stop pulsing when they should, all the numerous ways the brain makes system level errors, and the slow speed of signaling mean as a system the brain is nowhere close to optimal. (I can provide sources for all claims) That Landauer limit is for error free computations. When you inject random errors you lose information and system precision, and thus a much smaller error free system would be equal in effectiveness to the brain.
This is likely why we are hitting humanlike performance in many domains with a small fraction of the estimated compute and memory of a brain.
Also when you talk about artificial systems: human brain has no expansion ports, upload or download interfaces, any way to use a gigawatt of power to solve more difficult problems, etc.
So even if we could never do better for the 20 watts the brain uses, in practice that doesn’t matter.