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State-of-the-art precipitation downscaling models struggle to generalize across continents, revealing a critical gap in current ML-based climate forecasting.
Kilometer-scale extreme heat downscaling accuracy scales linearly with climatological distance, not simulation volume, revealing a path to cost-effective urban adaptation.
AI researchers are not neutral observers but implicated actors in the harms caused by AI-powered weapons, demanding a shift towards solidarity with victims.
