AGI Impossible due to Energy Constrains 2022-11-30T18:48:43.011Z

Comment by TheKlaus on AGI Impossible due to Energy Constrains · 2022-12-14T23:46:59.645Z · LW · GW

Thank you all for the very useful contributions! Apologies for my delayed response, the end of the semester ect caught up with me

I think a main issue which emerges is that there are no good measures for computation which apply equally well to brains and algorithms/computers. Can I memorize 1 TB worth of numbers? Of course not? But how many TB of data do my (mediocre) squash playing skills take up? I think there are no good answers to many related questions yet.

Comment by TheKlaus on AGI Impossible due to Energy Constrains · 2022-11-30T21:10:05.196Z · LW · GW

We address this argument. AGI has a lot to do with simulating brains in our opinion, since an agent of similar or higher complexity has to be created. There can be no shortcut, in our opinion.

A deep learning network with 10^7 nodes will not outperform a brain with 10^11 neurons, especially if each neuron is highly complex.

We are not arguing that a brain simulation will/will not take over, but that an agent which could would have to use a similar amount of energy, or even several orders below. And that's unrealistic.