The title has been editorialised. The paper is about building AI weather models on par with current state-of-the-art weather models that require super computers

The title has been editorialised. The paper is about building AI weather models on par with current state-of-the-art weather models that require super computers to run. But without the need for the super computers, just a normal desktop computer is enough. That represents a huge step-change in need compute for accurate weather models, and opens up the possibility of even more accurate models, if the accuracy of these techniques scales with available compute. If you can get state-of-the-art accuracy with a desktop computer, something that normally requires a super-computer, what happens if you run those techniques on a super-computer?