Chris and Krishna discuss their experiences working with geospatial embeddings, search and remote sensing in general, and how they think through problems.

Timestamps sustainably sourced and hand crafted.

(0:00 ) Intro

(2:30 ) Background, earth observation and existing algorithms and the embedding fallacy.

(9:49 ) Validation, how to solve problems, seductive embeddings, the museum of cool demos.

(19:22 ) What are embeddings?

(21:00 ) Search vs embeddings, the development of Earth Index.

(25:00 ) Expert embeddings: the dumbest embeddings that work.

(30:25 ) Computer vision embeddings/ImageNet. Experiments in pre-training, how to spend $40,000 in cloud credits.

(37:22 ) Should we pre-train on satellite imagery? DINO v3

(44:30 ) What properties should embeddings have for search? Recall vs Precision/Landcover+

(50:00 ) Real world consequences of mapping

(54:00 ) Future outlook, Krishna is jaded