ChatGPT's Thirsty Business: Using 1000ml of Water to Answer 100 Questions with AI - Upsprit

Sustainability and generative AI are two topics that are currently taking the world by storm. While they may seem unrelated, there is a significant intersection between the two. A recent study called "Making AI Less Thirsty" reveals just how much water is consumed when training large AI models like OpenAI's ChatGPT and Google's Bard. The study was conducted by researchers from the University of Colorado Riverside and the University of Texas Arlington. It compares and measures the environmental impact of AI training that requires massive amounts of constant electricity and water. The water is used to cool data centers that are essential to keep them running.