Consider this paragraph "We first consider environmental risks. Echoing a line of recent work outlining the environmental and financial costs of deep learn- in

Consider this paragraph "We first consider environmental risks. Echoing a line of recent work outlining the environmental and financial costs of deep learn- ing systems [129], we encourage the research community to priori- tize these impacts. One way this can be done is by reporting costs and evaluating works based on the amount of resources they con- sume [57]. As we outline in §3, increasing the environmental and financial costs of these models doubly punishes marginalized com- munities that are least likely to benefit from the progress achieved by large LMs and most likely to be harmed by negative environ- mental consequences of its resource consumption. At the scale we are discussing (outlined in §2), the first consideration should be the environmental cost." This whole paragraph is such a reach, and so absurd that it seems like a parody. Are we supposed to believe that marginalized communities are being harmed by Google training NLP models using green energy? Or will they benefit from better translation from English language content into marginalized languages? Timnit has zero interest in what actually benefits marginalized communities. She uses them as a prop to build a career in high paying AI field where, apparently, the sub field of ai fairness has a low bar for publication.