Ren’s most recent work focuses precisely on how AI is increasing water use. A large language model like OpenAI’s popular ChatGPT-3 must first be trained, a data and energy intensive process that can also boost water use. Ren found that training GPT-3 in Microsoft’s high-end data centers can directly evaporate 700,000 liters, or about 185,000 gallons, of water.
Once the AI model is in use, each inference, or response to queries, also requires energy and cooling, and that, too, is thirsty work. Ren and his colleagues estimate that GPT-3 needs to “drink” a 16-ounce bottle of water for roughly every 10-50 responses it makes, and when the model is fielding billions of queries, that adds up.
The researchers are saying otherwise. I tend to believe them
That’s a world I’d like to live in. Where asshole grifters could just die of shame. No more grifters.