AI energy and water use

1,039 opted-in GitHub users rate their own code a small lever on emissions

A GitHub and Yale survey of 1,039 opted-in users puts interest in energy-efficiency tooling at 80% and interest in measuring impact at 74%, while the same post says runtime alone does not prove that energy use or emissions fell.