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adrianNtoday at 12:38 PM4 repliesview on HN

How good are LLMs at geoguessing?


Replies

jcalxtoday at 1:18 PM

Quite good, per Bellingcat [0] — Google Lens and ChatGPT could localize the majority of their test photos pretty specifically.

[0] https://www.bellingcat.com/resources/2025/08/14/llms-vs-geol...

jillesvangurptoday at 1:27 PM

Pretty good. I played a bit with gpt-4 a year or so ago by feeding it random screenshots from Google street view. It will pick up a lot of subtle hints from what otherwise looks like generic streets. I imagine more recent models might be better at this now.

firtoztoday at 12:58 PM

Pretty good. I test it every now and then from random photos. Sometimes spot on, sometimes gets very close, unless it's really ambiguous.

embedding-shapetoday at 12:39 PM

Basically all up to the training data, as things often are.

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