Neural networks contribute to global warming
Apr 3, 2021 11:04:29 GMT -5
Post by Deleted on Apr 3, 2021 11:04:29 GMT -5
www.technologyreview.com/2020/12/04/1013294/google-ai-ethics-research-paper-forced-out-timnit-gebru/
Strubell’s study found that training one language model with a particular type of “neural architecture search” (NAS) method would have produced the equivalent of 626,155 pounds (284 metric tons) of carbon dioxide—about the lifetime output of five average American cars. Training a version of Google’s language model, BERT, which underpins the company’s search engine, produced 1,438 pounds of CO2 equivalent in Strubell’s estimate—nearly the same as a round-trip flight between New York City and San Francisco. These numbers should be viewed as minimums, the cost of training a model one time through. In practice, models are trained and retrained many times over during research and development.
Would be nice to set out car industry to kill neural network research so that we can take back our privacy, if not our lives. Human life is worthless without honor and privacy anyway. And one more reason to boycott the hell out of Google: save our fucking planet from carbon emissions. Without our data, they will have nothing to train their neural networks on, and thus less emissions will happen.
