Whenever somebody starts roasting current ML techniques about their carbon footprint, I take that as "I've got no better argument to present". Sure, a reductio

Whenever somebody starts roasting current ML techniques about their carbon footprint, I take that as "I've got no better argument to present". Sure, a reduction in computational expenses is in many ways desirable, but I don't think the carbon footprint of a model is a very good metric. There are much better arguments for more efficient models. I guess you have to do, what you have to do for those grants.