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.
I already did... There's some subscription stuff where you can read pretty much all available magazines and papers, it's been a long time since I've been reading that much "news" and reports
Yeah, I predict that in the future, you can't expect that content on the internet is written by humans. If you go to the internet, then it will probably not be to connect to other humans. Maybe you want to know something that a bot can tell you or you have some administrative task to fulfill, like filing a form.