<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CAPTCHA on Editaria</title><link>https://editaria.com/tags/captcha/</link><description>Recent content in CAPTCHA on Editaria</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Thu, 26 Feb 2026 23:33:27 +0000</lastBuildDate><atom:link href="https://editaria.com/tags/captcha/index.xml" rel="self" type="application/rss+xml"/><item><title>Why CAPTCHAs Still Use Object Recognition Despite AI Advances</title><link>https://editaria.com/2026/02/why-captchas-still-use-object-recognition-despite-ai-advances/</link><pubDate>Thu, 26 Feb 2026 23:33:27 +0000</pubDate><guid>https://editaria.com/2026/02/why-captchas-still-use-object-recognition-despite-ai-advances/</guid><description>What Happened A Reddit user posed a fundamental question about CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart) technology that many internet users have wondered about: why these security systems continue using object recognition challenges when machine learning has already mastered image identification tasks.
The question reflects growing awareness that AI systems like those powering self-driving cars, Google Photos, and smartphone cameras can easily identify everyday objects with superhuman accuracy.</description></item></channel></rss>