7 ms·
How good are LLMs at geoguessing?
by adrianN 6mo ago
How good are LLMs at geoguessing?
- embedding-shape 6mo agoBasically all up to the training data, as things often are.
- eru 6mo agoYou still need some smarts, since the picture you just took won't be in the training data.
- xg15 6mo agoI wonder if that might be another reason to just completely disable this feature and not make it a permission: otherwise people could use it to build trainingsets for geoguesser models.
- GRiMe2D 6mo agoPeople already uploaded tons of images and data while playing Pokemon GO. Probably model is already has been built and being tested right now
- firtoz 6mo agoPretty good. I test it every now and then from random photos. Sometimes spot on, sometimes gets very close, unless it's really ambiguous.
- jcalx 6mo agoQuite 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-geolocation-gpt-5-performs-worse-than-other-ai-models/ https://www.bellingcat.com/resources/2025/08/14/llms-vs-geol...
- jillesvangurp 6mo agoPretty 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.