It’s a bit of a parlor trick with one photo but ML/LLM are about quantity. Imagine this kind of classification, data collection on all 100k of your photos. Now it’s calculating that you redid your kitchen in 2020. You had a Toyota but now you drive a Mercedes. You prefer cats to dogs. You typically wear [insert three colors] tshirts and always wear jeans.
All it needs is more and more datas to start to be obvious.
So it’s an llm description of the photo? And a printout of the exif data? I’m not sure what this is trying to prove
It’s a bit of a parlor trick with one photo but ML/LLM are about quantity. Imagine this kind of classification, data collection on all 100k of your photos. Now it’s calculating that you redid your kitchen in 2020. You had a Toyota but now you drive a Mercedes. You prefer cats to dogs. You typically wear [insert three colors] tshirts and always wear jeans.
All it needs is more and more datas to start to be obvious.
Probably something around automatically adding computer parseable info to pictures (e.g. facial expressions) to better profile people