P(doom)s of 0 and 1 betray a lack of imagination
AI safety researcher Miles Brundage argues that assigning a P(doom) of exactly 0 or 1 reveals a lack of imagination
DeepMind's Séb Krier says intermediate estimates lack conditional specification.
Positive users endorse Miles Brundage's view that absolute AI doom probabilities are unimaginative by stressing the messy middle ground, while negative users reject the stance and insist on high or extreme p(doom) values.
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@Miles_Brundage my p(doom) is sqrt(pi)*i
P(doom)s of 0 and 1 betray a lack of imagination

@Miles_Brundage
P(doom)s of 0 and 1 betray a lack of imagination

@Miles_Brundage @speakerjohnash How about negative p(doom)?
@Miles_Brundage and yet those are the only Ps to get engagement on the TL
alas
P(doom)s of 0 and 1 betray a lack of imagination
@Miles_Brundage And all of the rest lack conditional specification!
P(doom)s of 0 and 1 betray a lack of imagination

@Miles_Brundage Reality lives in the messy middle 🫡🙃

@Miles_Brundage I mean at least they're being mathematically honest about their stuck priors

@Miles_Brundage This isn't great, the pdoomers aren't very far off now :)

@Miles_Brundage P dooms need neuroticism handicap adjustments

@Miles_Brundage or maybe im just more realistic than imaginative
either way im not betting on 0 or 1

@Plinz @Miles_Brundage Try the eth root

@Miles_Brundage .8

@Miles_Brundage Or better culture

@Miles_Brundage Enterprise AI risk is usually the eval gate someone waved through, then nobody can name the rollback owner when audit asks who approved the model change.

@Miles_Brundage And also violates Cromwell's rule https://en.wikipedia.org/wiki/Cromwell%27s_rule

@Miles_Brundage p(doom) = e^-2π

@t6aguirre @Miles_Brundage kekw

@sean_from_earth @Miles_Brundage @speakerjohnash Why stop there? P(doom) = i

@sean_from_earth @Miles_Brundage when the poop goes back inside the butt