I think identifying the blind spots of the typical AI engineer/architect is an interesting and potentially important goal. Though I’m not sure I follow the reasoning behind identifying the opposite as the path to “modeling the desires of the typical person.”?
I think investigating this would be of interest to people working in AI alignment and whose ultimate goal and whose ultimate goal is improving the condition of humanity in general. Understanding the needs and wants of the subset of humans most unlike themselves would likely help in modeling the desires of the typical person.
Isn’t that better and more easily accomplished by identifying the median person i.e. in what way is the typical AI engineer different from the general population, and adjusting for that?
Alternatively, one could find what is complementary to autism rather than the opposite of autism; assuming those are not necessarily the same. People who may be attracted to and good at roles/professions like people management, team sports, therapists etc.
My assumption is that, for people with ASD, modelling human minds that are as far from their own as possible is playing the game on hard-mode. Manage that, and modelling average humans becomes relatively simple.
Interesting. Though I think extremes represent fewer degrees of freedom; where certain traits/characteristics dominate, and heuristics can better model behaviour. The “typical” person has all the different traits pushing/pulling, and so fewer variables you can ignore. i.e. the typical person might be more representative of hard-mode.
Sympathy vs Systematics as a 2x2 grid would be good, as cooperation vs competition, or voting and coalitional theory vs economics and zero-sum games. Might want to take a look at intelligence, “verbal tilt” and “dark core of personality” as they seem related in this context.
I think identifying the blind spots of the typical AI engineer/architect is an interesting and potentially important goal. Though I’m not sure I follow the reasoning behind identifying the opposite as the path to “modeling the desires of the typical person.”?
Isn’t that better and more easily accomplished by identifying the median person i.e. in what way is the typical AI engineer different from the general population, and adjusting for that?
Alternatively, one could find what is complementary to autism rather than the opposite of autism; assuming those are not necessarily the same. People who may be attracted to and good at roles/professions like people management, team sports, therapists etc.
My assumption is that, for people with ASD, modelling human minds that are as far from their own as possible is playing the game on hard-mode. Manage that, and modelling average humans becomes relatively simple.
Interesting. Though I think extremes represent fewer degrees of freedom; where certain traits/characteristics dominate, and heuristics can better model behaviour. The “typical” person has all the different traits pushing/pulling, and so fewer variables you can ignore. i.e. the typical person might be more representative of hard-mode.
Sympathy vs Systematics as a 2x2 grid would be good, as cooperation vs competition, or voting and coalitional theory vs economics and zero-sum games. Might want to take a look at intelligence, “verbal tilt” and “dark core of personality” as they seem related in this context.