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AI bots now beat 100% of those traffic-image CAPTCHAs
I, for one, welcome our traffic light-identifying overlords.
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. A VPN was used to avoid detection of repeated attempts from the same IP address, for instance, while a special mouse movement model was created to approximate human activity.
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