@GoogleDeepMind: From tracking hurricanes to optimizing renewable energy grids, @PeterWBattaglia and @fryrsquared explore how WeatherNex…

X AI KOLs News

Summary

In this podcast episode, Peter Battaglia and Fry explore WeatherNext 3, an AI model for weather forecasting, discussing its applications in hurricane tracking and renewable energy grid optimization, along with probabilistic forecasting and future outlooks.

From tracking hurricanes to optimizing renewable energy grids, @PeterWBattaglia and @fryrsquared explore how WeatherNext 3 is shaping how we model forecasts and prepare in a fast-changing climate. Podcast timecodes: 00:00 Introduction 00:38 Hurricane Melissa 11:50 Why weather forecasting is hard 14:13 Traditional models vs AI models 21:55 Probabilistic forecasting 26:00 WeatherNext 3 33:00 Future outlook 43:44 Hannah's reflections
Original Article
View Cached Full Text

Cached at: 09/10/26, 02:46 AM

From tracking hurricanes to optimizing renewable energy grids, @PeterWBattaglia and @fryrsquared explore how WeatherNext 3 is shaping how we model forecasts and prepare in a fast-changing climate.

Podcast timecodes: 00:00 Introduction 00:38 Hurricane Melissa 11:50 Why weather forecasting is hard 14:13 Traditional models vs AI models 21:55 Probabilistic forecasting 26:00 WeatherNext 3 33:00 Future outlook 43:44 Hannah’s reflections

Similar Articles

WeatherNext 3

Hacker News Top

WeatherNext 3 is DeepMind's most advanced global weather AI model, capable of generating hourly forecasts with 5-10km resolution for applications like renewable energy and integration into Google products.

google-deepmind/weathernext

GitHub Trending (daily)

Google DeepMind has open-sourced WeatherNext 2, its most advanced global weather and cyclone forecasting model, along with prior models GraphCast and GenCast, providing code and pretrained weights.