DeepMind's FNV3 nailed Hurricane Isaias track 11 days out, landfall 4 days early
ZeroStateReflex · x · 2026-10-12
- Forecaster packie7b breaks down Google DeepMind's FNV3 weather model on Hurricane Isaias: it picked up appreciable signal on Sept 23, locked in the exact landfall location 4 days ahead, and consistently nailed peak intensity 3 days out.
- Shared videos show track density from a 1000-member ensemble plus individual tracks and mean from a 50-member ensemble.
- Economist Noah Smith calls this a "cloud law": weather holds regularities too diffuse for humans but learnable by AI — a new age of forecasting. Channel note: model-centric research result, not a specific model release.
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