Weather Models

topic on 2 shows · 3 statements across 2 episodes

Latent Space Catalyst

3 statements about Weather Models, every show

LATENT SPACE Assertion Supported
Anandkumar's AI weather model trained on 50,000 global weather maps
“You know, our weather model, like, had about, like, 50,000 samples, right? 50,000 samples of fairly high resolution, like, world global weather maps, but it's nothing like what we see with language.”
Anima Anandkumar Aug 26, 2026 ▶ 28:29 🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
LATENT SPACE Assertion Supported
Spherical AI weather models achieve longer autoregressive rollouts than flat models
“These models that we have are able to do the longest rollouts compared to any of the other weather models that completely ignore spherical assumption and a range of other things.”
Anima Anandkumar Aug 26, 2026 ▶ 57:12 🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
CATALYST Insight
Battaglia: Precipitation and wind are harder to forecast due to fine-scale dynamics
“So that type of very high resolution, complex, you know, patterns of precipitation, for example, Wind as well. Those are much harder to predict because you're effectively predicting a lot more information. You can't just sort of summarize it by saying, oh, eve…”
Peter Battaglia Jan 2, 2026 ▶ 21:58 How AI is changing weather forecasting

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