I, for one, welcome our traffic light-identifying overlords.
Anyone who has been surfing the web for a while is probably used to clicking through a CAPTCHA grid of street images, identifying everyday objects to prove that they're a human and not an automated bot. Now, though, new research claims that locally run bots using specially trained image-recognition models can match human-level performance in this style of CAPTCHA, achieving a 100 percent success rate despite being decidedly not human.
ETH Zurich PhD student Andreas Plesner and his colleagues' new research, available as a pre-print paper, focuses on Google's ReCAPTCHA v2, which challenges users to identify which street images in a grid contain items like bicycles, crosswalks, mountains, stairs, or traffic lights. Google began phasing that system out years ago in favor of an "invisible" reCAPTCHA v3 that analyzes user interactions rather than offering an explicit challenge.
Despite this, the older reCAPTCHA v2 is still used by millions of websites. And even sites that use the updated reCAPTCHA v3 will sometimes use reCAPTCHA v2 as a fallback when the updated system gives a user a low "human" confidence rating.
Captcha these days isn't even really a CAPTCHA in the traditional sense since most of the work it does is based on filtering of IP and browser fingerprinting, with a certain level of gamification because the goal is not just to keep out the people they fight against, but to waste their time, would work great if it didn't waste normal people's time, while real bad actors have easy ways to get around it.
Catcha's data collection always was with the intent for training ai on these skills. That's "the point" of them.
It's reasonable to expect that the older version of captchas can now be beaten by modern ai, because they're often literally trained on that exact data to beat it.
Captcha effectively is free to use on websites as a tool because the data collection is the "payment", they then license that data out to people like OpenAI to train with for stuff like image recognition.
It's why ai is progressing so fast, captchas are one of humanity's long term collected data silos that are very full now.
We are going to have to keep progressing the complexity of catches as it will be the only way to catch modern AIs, and in turn it will collect more data to improve it.
We are going to have to keep progressing the complexity of catches as it will be the only way to catch modern AIs, and in turn it will collect more data to improve it.
I wanted to use 4chan alot before I came here, but FUCK that slider capcha. I bailed after the first time I didn't pass.
Yeah, my understanding is that these capchas were made to harvest data to use for AI/Autopilot driven cars. That's why they are always having you identify motorcycles, bycicles, crosswalks, stoplights, busses, etc. It's all stuff that automatic driving cars have had a hard time identifying.
What they are doing is comparing your answer and seeing if it is consistent with how it has been answered previously. They realize that not everyone is going to give the exact same answer, so as long as you answer it in a way that enough other people have answered it, it should let you in.
I'll usually go with the minimum number of clicks that I think will get me through, since I'm lazy and it'll also at times slow down how fast you can click which is annoying.
I'll also answer them wrong if I think it's a mistake that enough other people will make. "Yes... that RV over there is a bus..."
This is actually a good sign for self driving. Google was using this data as a training set for Waymo. If AI is accurately identifying vehicles and traffic markings, it should be able to process interactions with them easier.
As I understand it, the point of those captchas was never really "bots can't identify these things" (though you're right on that it was used to train). They use cursor movement, clicks, and other behaviours while you're solving it to detect if you are a bot or not.
Most captchas goals generally aren't 100% prevention, it's to put a workload in front, this makes spamming the site cost money, a bankrolled attempt could just as easily outsource the captchas to real humans.
Afaik this is precisely what the captcha data was intended for - training AI models. Originally leveraged machine learning. LLMs are a slightly different paradigm but same purpose and results here.
Well reCaptcha v1 was used for the digitization of books. And that they proudly talked about.
But to be honest, the pictures were in fact used to dether bots. But also to teach selfdriving cars. I think I also remember a time they used to ask to fill in house numbers probably for their Maps accuracy.
Its never been confirmed by Google, so I may be wrong. It still tracks that the data harvesting company with a AI self driving car project would use free human labor to identify road hazards.
I never get the first one and rarely the second one. If it says to click all the squares with motorcycles and it’s just the one big picture, am I supposed to click stuff like the tire and mirrors? I always do and never get it right. Then most of the time they ask me to identify motorcycles, they show me motor scooters and what am I supposed to do then? I think I just need to get one of these bots to do it for me.
Fwiw they aren't really asking about the motorcycle. I mean they are but they are washing your mouse movements and how fast you click through the images. It's okay to get a few images wrong.
It's mostly wisdom of the crowd, as it always has been.
As long as you mostly click the same squares most other people click, you pass.
You often at random get 2-3 images because 2 of them are actual checks, but the third is a new image that you auto pass and they're using it to gather data on what the average clicks are on it.
I mean, we literally train them by completing the CAPTCHAs. Why do you think you were picking things like bikes, traffic lights, cars, and busses? The only question now is what's next...
Thank God this means i can stop wondering if i should click on the... the 13 pixels from the fucking bike in that one corner square or wondering if i should count the scooter as a motorcycle fuck i am so tired of that shit