As artificial intelligence dominates the public interest, some experts fear we don't understand the true climate impact of these models.
But do those harms outweigh the benefits, such as AI's use in the fight against climate change?
The training process is one of the most energy-intensive parts, the report says, because of the way this type of AI learns. There were three parts of AI training Luccioni looked at when calculating how carbon intensive some LLMs were:the carbon intensity from the energy grid. And, she pointed out, this does not account for other environmental impacts costs such as cooling the building, storage of computers and the server network."When churning through all this data, it's actually creating all this heat," Heffernan said. "In order for the thing not to melt down, you need to cool it. So that's where the use of water is going."Google's data centres in the U.S. consumed 12.
"As part of our commitment to create a more sustainable future, Microsoft is investing in research to measure the energy use and carbon impact of AI while working on ways to make large systems more efficient, in both training and application," a Microsoft spokesperson told CTVNews.ca in an email on Friday.
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