EY knows more neuroscience than me (I know very little) but here’s a 5-min brainstorm of ideas:
--For a fixed compute budget, spend more of it on neurons associated with higher-level thought (the neocortex?) and less of it on neurons associated with e.g. motor control or vision.
--Assuming we are an upload of some sort rather than a physical brain, tinker with the rules a bit so that e.g. neuron waste products get magically deleted instead of having to be pumped out, neurons never run out of energy/oxygen and need to rest, etc. Study situations where you are in “peak performance” or “flow” and then explore ways to make your brain enter those states at will.
--Use ML pruning techniques to cut away neurons that aren’t being useful, to get slightly crappier mini-Eliezers that cost 10% the compute. These can then automate away 90% of your cognition, saving you enough compute that you can either think a few times faster or have a few copies running in parallel.
--Build automated tools that search through your brain for circuits that are doing something pretty simple, like a giant OR gate or an oscillator, and then replace those circuits with small bits of code, thereby saving significant compute. If anything goes wrong, no worries, just revert to backup.
EY knows more neuroscience than me (I know very little) but here’s a 5-min brainstorm of ideas:
--For a fixed compute budget, spend more of it on neurons associated with higher-level thought (the neocortex?) and less of it on neurons associated with e.g. motor control or vision.
--Assuming we are an upload of some sort rather than a physical brain, tinker with the rules a bit so that e.g. neuron waste products get magically deleted instead of having to be pumped out, neurons never run out of energy/oxygen and need to rest, etc. Study situations where you are in “peak performance” or “flow” and then explore ways to make your brain enter those states at will.
--Use ML pruning techniques to cut away neurons that aren’t being useful, to get slightly crappier mini-Eliezers that cost 10% the compute. These can then automate away 90% of your cognition, saving you enough compute that you can either think a few times faster or have a few copies running in parallel.
--Build automated tools that search through your brain for circuits that are doing something pretty simple, like a giant OR gate or an oscillator, and then replace those circuits with small bits of code, thereby saving significant compute. If anything goes wrong, no worries, just revert to backup.
This was a fun exercise!