Google DeepMind released WeatherNext, a model specifically tuned to predict cyclone trajectories and intensity. It outperforms traditional numerical weather prediction systems in lead time and accuracy. This shift reduces computational overhead for meteorologists. Practitioners can now generate high-resolution storm tracks using significantly fewer resources than legacy physics-based simulations.