End-to-end data-driven weather prediction

<p>Where does the end begin? Where does the end end? And what the HELL is happening in the middle?</p> <p>These are some of the questions we tackle in this episode as we explore Aardvark Weather, an end-to-end forecasting system. End-to-end models are super cool, and likely to be the future of weather forecasting—but they also revitalize old questions about transparency, end-user trust, and the fidelity &amp; availability of raw observations.</p> <p>Join us as we unpack what an end-to-end model is, the Aardvark Weather approach, and how these models at-large might shape the landscape of forecasting (And books. Always books.)</p> <h2>Featured paper</h2> <p><a href="https://www.nature.com/articles/s41586-025-08897-0"><strong>End-to-end data-driven weather prediction</strong></a></p> <h2>Additional reading</h2> <ul> <li><em>The Forest Unseen</em> by David George Haskell</li> <li><em>“<a href="https://harpers.org/archive/2024/07/the-gods-of-logic-benjamin-labatut-ai/">The Gods of Logic</a>”</em> by Benjamín Labatut</li> <li><em>Moon of the Crusted Snow</em> by Waubgeshig Rice</li> <li><em>“<a href="http://www.incompleteideas.net/IncIdeas/BitterLesson.html">The Bitter Lesson</a>”</em> by Rich Sutton</li> </ul>