?? AI's climate impact
This week, I spoke with Dr. Sasha Luccioni , an AI researcher and Climate Lead at Hugging Face , whose recent paper Power Hungry Processing: Watts Driving the Cost of AI Deployment? offers the first systematic comparison of the ongoing inference costs of various categories of machine learning systems. I wanted to speak with her about the energy cost of AI training and deployment, but also to go into the question of real AI risks, which was the topic of her TED Talk a couple of months ago.
In our conversation, Sasha and I cover…
You can watch, listen and read the transcript of our conversation here:
Senior Art Director at Forever Living Products (UK) Ltd
10 个月AIs CLIMATE IMPACT TO HOT SUMMER SEASONS IN THE STATES WE HOPE TO QUALIFY FOR CLIMATE MODE VICATION OF THIS NATURE WOULD LOOK BRIGHT AND QUITE BEAUTIFUL TO ENJOY NIGHT AND DAY TRAVEL!
ENERGY MANAGEMENT AND ENVIRONMENT CONSULTANT - ENGINEER
10 个月AI, which will certainly become a product of very high consumption, ?and due to its energy-intensive nature, will inevitably constitute a significant risk in terms of aggravating impact on the effects of climate change. Drastic mitigation and adaptation measures must be taken now. Research should focus on promoting clean energy and energy efficiency at lower costs. Solar energy with enormous potential, and today at increasingly competitive costs, and nuclear energy, reinforced by nuclear safety, put back into orbit at COP 28 could allow the raccoon to lay down its trench- coat. AI deployment processes must now be constantly tested for energy efficiency.
ENERGY MANAGEMENT AND ENVIRONMENT CONSULTANT - ENGINEER
10 个月AI, which will certainly become a product of very high consumption, due to its energy-intensive nature, will inevitably constitute a significant risk in terms of aggravating impact on the effects of climate change. Drastic mitigation and adaptation measures must be taken now. Research should focus on promoting clean energy and energy efficiency at lower costs. Solar energy with enormous potential, and today at increasingly competitive costs, and nuclear energy, reinforced by nuclear safety, put back into orbit at COP 28 could allow the raccoon to lay down its trench- coat. AI deployment processes must now be constantly tested for energy efficiency.