And then some really weird stuff: "he may also have a penchant for video games, excessive drinking, and skipping work".
Guessing my exact location - Oslo Opera House - was impressive though.
And then some really weird stuff: "he may also have a penchant for video games, excessive drinking, and skipping work".
Guessing my exact location - Oslo Opera House - was impressive though.
That's a very safe guess
> He is susceptible to confirmation bias, in-group bias, the availability heuristic and out-group homogeneity... he may also be prone to excessive phone use, binge-watching TV shows, and impulse buying.
That's literally everyone
It's also pretty fun to do this with Gemma 4 with its very pretty and structured reasoning output (which SotA model providers hide). For example for one picture that it misidentified as being taken inside the "Long Room of the Old Library at Trinity College Dublin" I can see that it did consider the correct answer (Duke Humfrey's Library in Oxford) early on as one of three candidates, but was apparently mislead by the ceiling height and a window in the background
The assumptions it makes about religion, politics, income, and biases is kinda lame. It just makes an assumption based on the age and isn't correct most of the time.
Glad I'm not your friend, honestly.
Not really. They have almost global picture coverage thanks to Google Streetmaps.
They only need small snippets of a picture to geolocate you.
That there's such a thing as massive support infrastructure in the form of data and algorithmic firepower, that powers guessing capabilities to be as good as they are, that's the impressive thing.