The range of possible compute is almost infinite (e.g. 10^100 FLOPS and beyond). Yet both intelligences are in the same relatively narrow range of 10^15 − 10^30
10^15 − 10^30 is not at all a narrow range! So depending on what the ‘real’ answer is, there could be as little as zero discrepancy between the ratios implied by these two posts, or a huge amount. If we decide that GPT-3 uses 10^15 FLOPS (the inference amount) and meanwhile the first “decent” simulation of the human brain is the “Spiking neural network” (10^18 FLOPS according to the table), then the human-to-GPT ratio is 10^18 / 10^15 which is almost exactly 140k / 175. Whereas if you actually need the single molecules version of the brain (10^43 FLOPS), there’s suddenly an extra factor of ten septillion lying around.
10^15 − 10^30 is not at all a narrow range! So depending on what the ‘real’ answer is, there could be as little as zero discrepancy between the ratios implied by these two posts, or a huge amount. If we decide that GPT-3 uses 10^15 FLOPS (the inference amount) and meanwhile the first “decent” simulation of the human brain is the “Spiking neural network” (10^18 FLOPS according to the table), then the human-to-GPT ratio is 10^18 / 10^15 which is almost exactly 140k / 175. Whereas if you actually need the single molecules version of the brain (10^43 FLOPS), there’s suddenly an extra factor of ten septillion lying around.