This would be a good article if the pictures actually showed people wearing the clothes.
Literally the header image…
What’s with the floating heads?
I see a couple people, and some oddly colored blobs.
Oh! HHahhahhhHah! That’s a good joke! Wooshed right over my head hahahahahahahah!
Edit: correct autocorrect
It’s only a matter of time before a cop charges someone with obstruction for trying to disrupt a camera system (during the commission of a crime, I mean).
AI probably was already patched 5 minutes after the article came out.
You can’t really “patch” LLMs like most software; you’d have to retrain them, no?
Yeah but they don’t use LLMs for this, they’ll use some other kind of machine learning mixed in a big pipeline of data processing. It makes it really hard to guess how much work it would take to fix. It might require retraining, might just require an easy patch of the rest of the pipeline.
My guess is that they’re just shitty jumpers and there’s nothing to fix anyway.
Oh I dont know, I would just assume they could update (or retrain) to adapt pretty quickly.
I don’t know either, I wasn’t trying to be condescending or anything.
🎶"Because I’m tacky…" 🎵
Unfortunatly its a cat and mouse game. Except the cat is a easily deployable software problem and the mouse is buy new clothing hardware problem.
Led clothing anyone?
If its radioactive then it will disrupt the image sensor. It mist also disrupt your dna but u dont need that do ya.
Those people are just dressed like regular Australians.
Similar tech has been around for a while, and it almost always gets beaten.
So I guess we’re wearing broken JPEGs now huh?
I want this to be a thing
400-700 for a single article of clothing with no mention of what facial recognition software this affects, how effective it is and what is the failure rate, error bounds, etc. Sounds like a scam.
I wouldn’t call it a “scam” just manipulative marketing. This stuff doesn’t seem like it’d work for any of the modern facial recognition options, but that’s just a guess. If it did work well and they were proud of it, you can be sure that’d be part of the marketing, so it at best is mediocre if not useless.
So I don’t know if you guys actually read the article or not but they absolutely DO claim that it works against YOLO which they claim to be the most popular recognition software. I don’t know about how factual any of that is, but they do make the statement.