Earlier quoted context omitted.
What does a causal weather model even mean?
He meant one that is physically based and interpretable, rather than a black box based on pattern matching. But I'll take the accurate black box any day, at least for weather forecasting. Climate modelling is a totally different thing.
Take the situation with Hurricane Otis — what do you do if an AI doesn’t detect cyclogenesis 24-48 hours beforehand? Are we sure tuning the model to detect this event will improve forecast skill in general, or will it make it worse?