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Making an image with generative AI uses as much energy as charging your phone
(www.technologyreview.com)
this post was submitted on 01 Dec 2023
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Tons of work being done to improve the energy efficiency of ML models. We're in the ENIAC days of AI right now. I'm not sure I see the problem other than that it would obviously be nicer if we could just build a time machine and steal an energy efficient AI from the year 2100? But in the real world, R&D takes time, and while, globally, we do need to reduce energy use, that doesn't mean we should give up on R&D, especially when ML actually has the potential to help us achieve higher energy efficiencies across the entire economy.
Not like tons of uses for servers aren't trivial and honestly kind of a waste. Okay, ML model's energy use is a scandal, but Netflix and TikTok? Completely worth every joule.