<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI on fr1zz0</title><link>https://fr1zz0.it/en/categories/ai/</link><description>Recent content in AI on fr1zz0</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Andrea Franzante</copyright><lastBuildDate>Fri, 24 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://fr1zz0.it/en/categories/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Prompt injection: telling intents apart from techniques</title><link>https://fr1zz0.it/en/posts/prompt-injection-101/</link><pubDate>Fri, 24 Jul 2026 00:00:00 +0000</pubDate><guid>https://fr1zz0.it/en/posts/prompt-injection-101/</guid><description>&lt;p&gt;For the first two weeks I spent studying prompt injection I did the wrong thing:
I collected prompts. I would read a thread, find a phrasing that had worked
against some model, and paste it into my notes. I ended up with a sixty-line
file that explained nothing. Sixty one-off cases.&lt;/p&gt;</description></item></channel></rss>