I think one thing we'll see is that "sophisticated" multi-step exploit chains will become the domain of script kiddies. They often already were, malware vendors often pre-packaged software that exploited several vulnerabilities in a row, but I expect that LLMs will make the "Attack Complexity" metric in CVSS even more useless than it already is.
No, this was really something trivial, in the sense that you could feel it's true. Like 2+2=4 but to prove it you need to create a set of functions, axiom and a theorem
Assuming you're referring to Apple Silicon's memory bandwidth, that is not necessarily because the memory is on-die. The bandwidth comes from having more channels to access memory. This gives the SoC a wider bus to increase throughput vs. your typical x86 system with two channels. For whatever reasons Intel/AMD decided that two channels is all the typical consumer chips can support now so it's on them.
You mentioned Strix Halo, which also has off-die memory. Strix Halo does have a real advantage from its wider memory bus (four channels for 256 bit instead of 128 bit), but Strix Point is equivalent-ish to Intel's platforms like Panther Lake or Arrow Lake in terms of memory setup.
In fact, Intel also had Lunar Lake, which had on-package memory. However, it was still limited to 128-bit dual-channel, so there weren't really many performance benefits; it did however help with power efficiency.
True. And they forced some scientists to work for them to build terror and WMDs. This regime doesn't even want technological supremacy in many other domains like drones and counter-drones except maybe hypersonic missiles and unworkable pocket battleships.
I uploaded a pic of some friends at the lake and it guessed a very specific lake 1000 miles away from where it was taken. Obviously it was a very generic background, all you see is trees and water so it could be anywhere. I uploaded a scanned photo from when my parents were my age standing in front of a NASA sign at KSC and it got it right but I think you can read some text on the sign. It can also be tricked really easy. I uploaded a selfie of some friends wearing Halloween costumes of Bill Belichick and his girlfriend (wearing UNC merch) taken in a bathroom with the words "GET OUT" written on the mirror. It thinks the photo was taken in North Carolina (it wasn't) and that the couple would be interested in buying graffiti supplies (they aren't).
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.
That's (scarily) pretty standard for most LLMs by now. Paste the same images into ChatGPT and you will get a very accurate guess
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
Completely wrong on the political side (maybe because I'm not US-based), but otherwise not bad at all:
- astonishing geoguessing
- very good inference of some characters traits
- and finally quite good ad targeting
EDIT: I tried with a few photos (different people in various settings) and each time I got this: "racial bias towards immigrants" - which was always very false. Intriguing.
EDIT2: different photos of the same person (me) in different settings gives many totally opposed characteristics. Very unreliable, but I guess with several photos (a lifetime's photos in the case of Google) it's another story.
Cropping doesn't necessarily remove exif. It doesn't even always remove the original pixels (simply setting cropTop and cropLeft and similar fields).
My mind was blown when I saw rainbolt uncrop a picture.
Anyways as mentioned elsewhere: when I tried it the vision api was overloaded but I still received the location data. And it was from a picture taken inside my car (no landmarks or horizons visible).
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