+1 on the sequence being on the best things in 2022.
You may enjoy additional/somewhat different take on this from population/evolutionary biology (and here). (To translate the map you can think about yourself as the population of myselves. Or, in the opposite direction, from a gene-centric perspective it obviously makes sense to think about the population as a population of selves)
Part of the irony here is evolution landed on the broadly sensible solution (geometric rationality). Hower, after almost every human doing the theory got somewhat confused by the additive linear EV rationality maths, what most animals and also often humans on S1 level do got interpreted as ‘cognitive bias’ - in the spirit of assuming obviously stupid evolution not being able to figure out linear argmax over utility algorithms in a a few billion years.
I guess not much engagement is caused by - the relation between ‘additive’ vs ‘multiplicative’ picture being deceptively simple in formal way - the conceptual understanding of what’s going on and why being quite tricky; one reason is I guess our S1 / brain hardware runs almost entirely in the multiplicative / log world; people train their S2 understanding on linear additive picture; as Scott explains, maths formalism fails us
+1 on the sequence being on the best things in 2022.
You may enjoy additional/somewhat different take on this from population/evolutionary biology (and here). (To translate the map you can think about yourself as the population of myselves. Or, in the opposite direction, from a gene-centric perspective it obviously makes sense to think about the population as a population of selves)
Part of the irony here is evolution landed on the broadly sensible solution (geometric rationality). Hower, after almost every human doing the theory got somewhat confused by the additive linear EV rationality maths, what most animals and also often humans on S1 level do got interpreted as ‘cognitive bias’ - in the spirit of assuming obviously stupid evolution not being able to figure out linear argmax over utility algorithms in a a few billion years.
I guess not much engagement is caused by
- the relation between ‘additive’ vs ‘multiplicative’ picture being deceptively simple in formal way
- the conceptual understanding of what’s going on and why being quite tricky; one reason is I guess our S1 / brain hardware runs almost entirely in the multiplicative / log world; people train their S2 understanding on linear additive picture; as Scott explains, maths formalism fails us