Their work, which is yet to be peer reviewed, shows that while training massive AI models is incredibly energy intensive, it's only one part of the puzzle. Most of their carbon footprint comes from their actual use. The study is the first time researchers have calculated the carbon emissions caused by using an AI model for different tasks, says Sasha Luccioni, an AI researcher at Hugging Face who led the work. She hopes understanding these emissions could help us make informed decisions about how to use AI in a more planet-friendly way. Luccioni and her team looked at the emissions associated with 10 popular AI tasks on the Hugging Face platform, such as question answering, text generation, image classification, captioning, and image generation.

Over 60% of companies in Japan have a positive stance on using generative artificial intelligence in their operations, according to a survey by credit research company Teikoku Databank published Tuesday. In the survey, 9.1% of companies polled said that they are utilizing generative AI in their operations, and 52.0% said that they are considering using the technology. Meanwhile, 23.3% said that they are not considering the use of generative AI in their operations, reflecting concerns over data breaches, according to the online survey, conducted for four days through Thursday. Valid responses came from 1,380 companies. This could be due to a conflict with your ad-blocking or security software.