From 32-Dimensional Noise to 15-Day Forecasts: Inside Google DeepMind’s WeatherNext 2 What makes a brand-new AI weather model worth replacing Google’s own flagship? WeatherNext 2 answers with three numbers: 8× faster, 99.9 % better CRPS, and a single TPU that spits out 56 global scenarios in under a minute—without ever seeing a joint-distribution label. What problem is WeatherNext 2 trying to solve? Medium-range forecasts must quantify uncertainty, but classic physics ensembles cost a super-computer and most ML ensembles are either slow (diffusion) or spatially disjoint (point-wise noise). WeatherNext 2 delivers physically coherent, high-resolution ensembles in one forward pass by injecting …