Artificial intelligence is changing everything — but at what cost? AI sustainability expert Sasha Luccioni exposes how tech companies' massive data centers are burning through energy and wrecking the planet. She introduces a powerful alternative: small but mighty AI models that could flip the script and make the technology smarter, fairer and sustainable. Hosted on Acast. See acast.com/privacy for more information.
The deadline for TikTok to sell or to face a ban is fast approaching. We discuss how Supreme Court justices — who opted on Friday to uphold the law — reacted to arguments in the case, whether the Chinese government might allow Elon Musk to buy the app, and why self-proclaimed TikTok refugees are rushing to a different Chinese app, called RedNote. Then, we talk with an A.I. industry insider about what we actually know about how bad artificial intelligence is for the environment. And finally, after Mark Zuckerberg’s recent appearance on Joe Rogan’s podcast, Casey offers Kevin some ideas for how to bring more “masculine energy” to Meta. Guest: Sasha Luccioni, A.I and climate lead at Hugging Face. Additional Reading: Supreme Court Backs Law Requiring TikTok to Be Sold or Banned ‘Red Note,’ a Chinese App, Is Dominating Downloads, Thanks to TikTok Users China Weighs Sale of TikTok US to Musk as a Possible Option Matter of Opinion Podcast: How Democrats Drove Silicon Valley Into Trump’s Arms We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Today, we're joined by Sasha Luccioni, AI and Climate lead at Hugging Face, to discuss the environmental impact of AI models. We dig into her recent research into the relative energy consumption of general purpose pre-trained models vs. task-specific, non-generative models for common AI tasks. We discuss the implications of the significant difference in efficiency and power consumption between the two types of models. Finally, we explore the complexities of energy efficiency and performance benchmarking, and talk through Sasha’s recent initiative, Energy Star Ratings for AI Models, a rating system designed to help AI users select and deploy models based on their energy efficiency. The complete show notes for this episode can be found at http://twimlai.com/go/687.
AI won't kill us all — but that doesn't make it trustworthy. Instead of getting distracted by future existential risks, AI ethics researcher Sasha Luccioni thinks we need to focus on the technology's current negative impacts, like emitting carbon, infringing copyrights and spreading biased information. She offers practical solutions to regulate our AI-filled future — so it's inclusive and transparent. Hosted on Acast. See acast.com/privacy for more information.
Today we’re joined by Sasha Luccioni, a Postdoctoral Researcher at the MILA Institute, and moderator of our upcoming TWIMLfest Panel, ‘Machine Learning in the Fight Against Climate Change.’ We were first introduced to Sasha’s work through her paper on ‘Visualizing The Consequences Of Climate Change Using Cycle-consistent Adversarial Networks’, and we’re excited to pick her brain about the ways ML is currently being leveraged to help the environment. In our conversation, we explore the use of GANs to visualize the consequences of climate change, the evolution of different approaches she used, and the challenges of training GANs using an end-to-end pipeline. Finally, we talk through Sasha’s goals for the aforementioned panel, which is scheduled for Friday, October 23rd at 1 pm PT. Register for all of the great TWIMLfest sessions at twimlfest.com! The complete show notes for this episode can be found at twimlai.com/go/413.