Yes, I never said that the power consumption calculations were wrong. The paper wasn't about power consumption, but CO2 emissions leading to global warming. She compared the power consumption of model training to jet fuel exhaust and used jet fuel exhaust to tie the power consumption to CO2 emissions. Of course, she didn't mention that Google is carbon neutral and its data centers are primarily powered by green energy. I have not seen a more dishonest paper in CS.
Electricity from the grid can come from green sources, and in the particular case if Google, it actually does. Comparing electricity consumption for a one time training with jet fuel usage is absurd.
Moreover, the paper doesn't mention any possible benefit of building such nlp models. Increased accessibility of web content across languages and for disabled people.
Google, simply through its search, maps and navigation saves a lot of wasted carbon. Complaining about the power consumption of ML models is absolutely ridiculous.
Her paper reeked of desperation to find something, anything within the AI space that could be posted as an ethical dilemma.
Reading that paper convinced me that Timnit could bring absolutely no value to AI as a field, in terms of ethics or otherwise.