Abstract of a satirical paper from SIVBOVIK 2014:
Besides myriad philosophical disputes, neither [frequentism nor Bayesianism] accurately describes how ordinary humans make inferences… To remedy this problem, we propose belief-sustaining (BS) inference, which makes no use of the data whatsoever, in order to satisfy what we call “the principle of least embarrassment.” This is a much more accurate description of human behavior. We believe this method should replace Bayesian and frequentist inference for economic and public health reasons.
GiveWell shallow investigation of risks from atomically precise manufacturing.
My beginner’s guide to modern classical music is basically finished now, and won’t be changing much in the future.
Peter Singer’s Coursera course on effective altruism.
Robots falling down during the latest DARPA Robotics Challenge.
AI Impacts collected all known public predictions of AGI timing, both individual predictions and survey medians. Conclusions here.