University of Washington in collaboration with Microsoft: https://www.washington.edu/news/2025/08/25/ai-simulates-1000-years-of-climate/ https://www.washington.

University of Washington in collaboration with Microsoft: https://www.washington.edu/news/2025/08/25/ai-simulates-1000-years-of-climate/ https://www.washington.edu/news/2025/08/25/ai-simulates-1000... and https://www.washington.edu/news/2020/12/15/a-i-model-shows-promise-to-generate-faster-more-accurate-weather-forecasts/ https://www.washington.edu/news/2020/12/15/a-i-model-shows-p... the latter being a factor of 7000x improvement, reducing it to 0.014% of the required compute. I'm surprised you missed it, given there's several other models in this space: From NVIDIA: https://www.nvidia.com/en-us/high-performance-computing/earth-2/ https://www.nvidia.com/en-us/high-performance-computing/eart... Google: https://deepmind.google/science/weathernext/ https://deepmind.google/science/weathernext/ And this is different model from Microsoft, this time a collaboration with Cambridge University: https://www.microsoft.com/en-us/research/blog/introducing-aurora-the-first-large-scale-foundation-model-of-the-atmosphere/ https://www.microsoft.com/en-us/research/blog/introducing-au...