Google announced the release of WeatherNext 3, which the company describes as its most advanced and accurate global weather AI model. ^[1] Artificial intelligence weather prediction systems now surpass state-of-the-art physical models for medium-range weather forecasting. ^[2] Google claims that in medium-range global forecasts, WeatherNext 3 shows a Continuous Ranked Probability Score improvement of up to 50% against IMERG, 30% for MRMS, and 10% against rain gauge measurements for early lead times. ^[3] The new model generates hourly forecasts at multiple spatial resolutions, including temperature and moisture at 5-kilometer resolution, surface variables at 10 kilometers, and wind speed at 25 kilometers. ^[4] WeatherNext 3 utilizes a mosaic of live, global geostationary satellite data to learn directly from real-time observations rather than relying solely on numerical weather prediction models. ^[5] Current global AIWP models are trained almost exclusively using one reanalysis dataset, ERA5, but it has known biases, particularly for precipitation. ^[6] The model exceeds the Brier skill score of state-of-the-art operational models on extreme rainfall prediction by 57% globally. ^[7] The resulting model improves medium-range continuous ranked probability scores by up to 19%. ^[8]