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I don't see how this is mind blowing, or even mildly surprising! It's essentially going to use the set of features detected in the photo as a filter to find mat
by HarHarVeryFunny 2y ago
I don't see how this is mind blowing, or even mildly surprising! It's essentially going to use the set of features detected in the photo as a filter to find matching photos in the training set, and report the most frequent matches. Sometimes it'll get it right, sometimes not.
It'd be interesting to see the photo in the linked story at same resolution as provided to o3, since the licence plate in the photo in the story is at way lower resolution than the zoomed in version shown that o3 had access to. It's not a great piece of primary evidence to focus on though since a CA plate doesn't have to mean the car is in CA.
The clues that o3 doesn't seem to be paying attention to seems just as notable as the ones it does. Why is it not talking about car models, felt roof tiles, sash windows, mini blinds, fire pit (with warning on glass, in english), etc?
Being location-doxxed by a computer trained on a massive set of photos is unsurprising, but the example given doesn't seem a great example of why this could/will be a game changer in terms of privacy. There's not much detective work going on here - just narrowing the possibilities based on some of the available information, and happening to get it right in this case.
- deleted 2y ago[deleted]
- simonw 2y agoIf you want to be impressed I suggest trying this yourself on your own photos. I don't consider it my job to impress or mind-blow people: I try to present as realistic as possible a representation of what this stuff can do. That's why I picked an example where its first guess was 200 miles off!
- HarHarVeryFunny 2y agoI'm not a computer. I expect a computer to also do better than me at memorizing the phone book, but I'm not impressed by it.
- simonw 2y agoIn that case, are you at all surprised that this technology did not exist two years ago?
- skydhash 2y agoDid it not, or no one was interested enough to build one? I’m pretty certain there’s a database of portraits somewhere where they search id details from photograph. Automatic tagging exists for photo software. I don’t see why that can be extrapolated to landmarks with enough data.
- simonw 2y agoIf it existed two years ago I certainly couldn't play with it on my phone.
- skydhash 2y agoYou’re not playing with it on your phone. You’re accesing a service with your phone. Like saying you can use emacs on iOS when you are just ssh-ing to a remote linux box.
- XenophileJKO 2y agoI think you are underestimating the importance of a "world model" in the process. It is the modeling of how all these details are related to each other that is critical here. The LLM will have an edge by being able to draw on higher level abstract concepts.
- casey2 2y agoI think you are overestimating how much knowledge is o3s world model. Just because it can output something doesn't mean it's likely that it will substantially affect it's future outputs. Even just talking to it about college level algebra it seems to not understand these abstract concepts at all. I definitely don't feel the AGI I feel like it's a teenager trying to BS it's way through an essay with massive amounts of plagiarism.
- cyral 2y agoReading the replies to this is funny. It's like the classic dropbox thread. "But this could be done with a nearest neighbor search and feature detection!" If this isn't mind blowing to someone I don't know if any amount of explaining will help them get it.
- casey2 2y agoIt's not mindblowing because there were public systems doing performing much better years earlier. Using the exact same tech. This is less like rsync vs drop box and more like you are freaking out over Origin or Uplay when Steam has been around for years.
- simonw 2y agoWhich public systems were those?