 Scientists at DeepMind published a paper in the journal Science on Tuesday, showing that one of their models called GraphCast outperformed the best existing weather forecasting models in predicting global conditions up to 10 days in advance. And they did it in a minute. One minute. Took one minute to like look at all the data and go, yep, got it. GraphCast uses a machine learning architecture called a graph neural network that is trained on more than four decades of ECMWF data. But instead of simulating like the ECMWF does, it just does what machine learning does. It predicts. It isn't as good with your neighborhood forecast, with your smaller scale forecast, like how much rain am I going to give in my neighborhood?