#geoAI #gis researchers in my feed, I failed to see how this https://research.google/blog/mapping-the-modern-world-how-s2vec-learns-the-language-of-our-cities/ is "a significant step toward foundational intelligence for #Geography "
Rasterizing data (how did they handle support change?) and reducing dimensionality is nothing new (is innovation here that llm are good at "analyzing" some kind of "eigenvalues"?).
Also is "embedding" overused?
what I am missing?













