In this episode of the Artificially Unintelligent Podcast, William and Nicolay discuss the groundbreaking work of Google DeepMind on weather forecasting through their recent publication of the Graphcast paper. The paper, published in the esteemed journal Science, showcases an advanced weather prediction tool capable of forecasting with remarkable accuracy up to 10 days in advance. Our hosts delve into the technicalities of Graphcast, exploring its autoregressive modeling, innovative mesh network construction, and the use of JAX for efficient processing. They also ponder the potential societal and economic implications of such accurate long-term weather predictions, touching upon its impact on industries like agriculture, shipping, and logistics. The episode provides a thorough understanding of the complexities and advancements in weather forecasting AI, making it a must-listen for anyone interested in the intersection of technology and natural sciences.
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