I’m pretty excited about economic modeling-based approaches, either:
Estimating the value-added from machine learning historically and extrapolating it into the future, or
Doing a takeoff analysis that takes into account how AI progress relates to inputs such as hardware and software effort, and the extent to which AI of a certain quality level can allow hardware to substitute for software effort, similar to the “Intelligence Explosion Microeconomics” paper.
I’m pretty excited about economic modeling-based approaches, either:
Estimating the value-added from machine learning historically and extrapolating it into the future, or
Doing a takeoff analysis that takes into account how AI progress relates to inputs such as hardware and software effort, and the extent to which AI of a certain quality level can allow hardware to substitute for software effort, similar to the “Intelligence Explosion Microeconomics” paper.