Historically, cyclone forecasting relied on physics-based models powered by massive supercomputers. These models simulated fluid dynamics using weather data from global sensors. However, incomplete or noisy data and the immense computing power required limited forecasting accuracy. Progress was slow, with meteorologists gaining about one day of forecast accuracy per decade.