It does not. Despite the title of that section it is focused on adult expression factors. The post in general lacks a realistic mechanistic model of how tweaking genes affects intelligence.
genes are likely to have an effect if edited in adults: the size of the effect of a given gene at any given time is likely proportional to its level of expression
Is similar to expecting that a tweak to the hyperparams (learning rate) etc of trained GPT4 can boost its IQ (yes LLMs have their IQ or g factor). Most all variables that affect adult/trained performance do so only through changing the learning trajectory. The low hanging fruit or free energy in hyperparams with immediate effect is insignificant.
Of course if you combine gene edits with other interventions to rejuvenate older brains or otherwise restore youthful learning rate more is probably possible, but again it doesn’t really matter much as this all takes far too long. Brains are too slow.
Of course if you combine gene edits with other interventions to rejuvenate older brains or otherwise restore youthful learning rate more is probably possible
We thought a bit about this, though it didn’t make the post. Agree that it increases the chance of the editing having a big effect.
Maybe it’s the lack of sleep for me but is “Brains are too slow.” referring to something like growth/formation of structures that support some level of intelligence or to to human brain’s just being slower than and AGI?
See Would edits to the adult brain even do anything?.
(Not endorsing the post or that section, just noticing that it seems relevant to your complaint.)
It does not. Despite the title of that section it is focused on adult expression factors. The post in general lacks a realistic mechanistic model of how tweaking genes affects intelligence.
Is similar to expecting that a tweak to the hyperparams (learning rate) etc of trained GPT4 can boost its IQ (yes LLMs have their IQ or g factor). Most all variables that affect adult/trained performance do so only through changing the learning trajectory. The low hanging fruit or free energy in hyperparams with immediate effect is insignificant.
Of course if you combine gene edits with other interventions to rejuvenate older brains or otherwise restore youthful learning rate more is probably possible, but again it doesn’t really matter much as this all takes far too long. Brains are too slow.
We thought a bit about this, though it didn’t make the post. Agree that it increases the chance of the editing having a big effect.
Maybe it’s the lack of sleep for me but is “Brains are too slow.” referring to something like growth/formation of structures that support some level of intelligence or to to human brain’s just being slower than and AGI?
Too slow too matter now due to the slow speed of neurons and bio learning combined with where we are in AI.