<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Unicode Steganography on AIBriefCentral</title><link>https://aibriefcentral.com/tags/unicode-steganography/</link><description>Recent content in Unicode Steganography on AIBriefCentral</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Thu, 26 Feb 2026 19:46:08 +0000</lastBuildDate><atom:link href="https://aibriefcentral.com/tags/unicode-steganography/index.xml" rel="self" type="application/rss+xml"/><item><title>Hidden Unicode Characters Can Trick AI Into Following Secret Commands</title><link>https://aibriefcentral.com/2026/02/hidden-unicode-characters-can-trick-ai-into-following-secret-commands/</link><pubDate>Thu, 26 Feb 2026 19:46:08 +0000</pubDate><guid>https://aibriefcentral.com/2026/02/hidden-unicode-characters-can-trick-ai-into-following-secret-commands/</guid><description>What Happened Researchers from Moltwire conducted extensive testing on how invisible Unicode characters can be weaponized against AI systems. They embedded hidden characters inside normal-looking trivia questions, encoding different answers than what appeared visible to human readers.
The study tested five major AI models: GPT-5.2, GPT-4o-mini, Claude Opus 4, Sonnet 4, and Haiku 4.5 across 8,308 graded outputs. The researchers describe their method as a &amp;ldquo;reverse CAPTCHA&amp;rdquo; - while traditional CAPTCHAs test what humans can do but machines cannot, this exploit uses a channel machines can read but humans cannot see.</description></item></channel></rss>