by adrianN 4 days ago

How good are LLMs at geoguessing?

jcalx 4 days ago | [-0 more]
jillesvangurp 4 days ago | [-0 more]

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.

firtoz 4 days ago | [-0 more]

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-shape 4 days ago | [-3 more]

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

xg15 4 days ago | [-1 more]

I 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 4 days ago | [-0 more]

People already uploaded tons of images and data while playing Pokemon GO. Probably model is already has been built and being tested right now

eru 4 days ago | [-0 more]

You still need some smarts, since the picture you just took won't be in the training data.