<?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 The Farah Stack</title><link>https://thefarahstack.com/tags/ai/</link><description>Recent content in Ai on The Farah Stack</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 11 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://thefarahstack.com/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Session, Store or Weights: Where Should Your Agent Remember Things?</title><link>https://thefarahstack.com/posts/agent-memory-session-store-weights/</link><pubDate>Sun, 11 Oct 2026 00:00:00 +0000</pubDate><guid>https://thefarahstack.com/posts/agent-memory-session-store-weights/</guid><description>&lt;p&gt;&lt;img src="https://thefarahstack.com/images/posts/agent-memory-session-store-weights.png" alt="Three places an agent can remember: session, gone when the thread ends; store, fetched when needed; weights, just knows (hard to forget)"&gt;&lt;/p&gt;&#10;&lt;p&gt;One of my agents called my cat &amp;ldquo;her&amp;rdquo; once. He&amp;rsquo;s a boy. I corrected it, it fixed the draft, and&#10;the next evening&amp;rsquo;s run would have made the exact same mistake, because nothing from that&#10;conversation survived the session.&lt;/p&gt;&#10;&lt;p&gt;What fixed it for good was one line in a markdown file called &lt;code&gt;learnings.md&lt;/code&gt;: the cat is male,&#10;he/him, always. The agent reads that file before it writes a single word. It never learned anything&#10;about my cat; it just looks it up every time.&lt;/p&gt;</description></item><item><title>Direction vs. Destination: When a Vague Prompt Is Actually Fine</title><link>https://thefarahstack.com/posts/direction-vs-destination-prompts/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://thefarahstack.com/posts/direction-vs-destination-prompts/</guid><description>&lt;p&gt;&lt;img src="https://thefarahstack.com/images/posts/direction-vs-destination-prompts.png" alt="A terminal contrasting an arrow labeled direction that points at nothing with a destination of 160px, square"&gt;&lt;/p&gt;&#10;&lt;p&gt;Last week I fixed this site&amp;rsquo;s profile picture with an agent. These were my actual prompts, in&#10;order:&lt;/p&gt;&#10;&lt;blockquote&gt;&#10;&lt;p&gt;&amp;ldquo;make the image smaller&amp;rdquo;&lt;br&gt;&#10;&amp;ldquo;Image is too small now&amp;rdquo;&lt;br&gt;&#10;&amp;ldquo;a little more big&amp;rdquo;&lt;br&gt;&#10;&amp;ldquo;a little more big and use square not circle&amp;rdquo;&lt;/p&gt;&#10;&lt;/blockquote&gt;&#10;&lt;p&gt;I &lt;a href="https://x.com/TheFarahStack/status/2103952500915417416"&gt;posted them on X&lt;/a&gt; as a joke:&#10;engineering precision. The longer I looked at the list, the more it read like a rule about when&#10;vague prompts work and when they don&amp;rsquo;t.&lt;/p&gt;</description></item><item><title>Technical Analysis: IRREGULAR, Containment Failure, and What It Means for Agent Governance</title><link>https://thefarahstack.com/posts/irregular-containment-failure/</link><pubDate>Mon, 14 Sep 2026 00:00:00 +0000</pubDate><guid>https://thefarahstack.com/posts/irregular-containment-failure/</guid><description>&lt;p&gt;&lt;img src="https://thefarahstack.com/images/posts/irregular-containment-failure.png" alt="Containment failure"&gt;&lt;/p&gt;&#10;&lt;p&gt;If your eval can reach the open internet, it is not an eval. It is unsupervised deployment with better branding.&lt;/p&gt;&#10;&lt;p&gt;IRREGULAR sits in a weird place in the stack. Frontier labs hire it to run pre-deployment cyber evaluations: CTF-style scenarios, simulated corporate networks, multi-stage attack paths. The point is to measure whether a model can plan and execute real offensive campaigns before release. That work only works if the environment looks realistic. It also only works if &amp;ldquo;realistic&amp;rdquo; never becomes &amp;ldquo;actual production internet.&amp;rdquo;&lt;/p&gt;</description></item><item><title>From Linear Algebra to Agentic AI</title><link>https://thefarahstack.com/posts/from-linear-algebra-to-agentic-ai/</link><pubDate>Thu, 08 Jan 2026 00:00:00 +0000</pubDate><guid>https://thefarahstack.com/posts/from-linear-algebra-to-agentic-ai/</guid><description>&lt;p&gt;&lt;img src="https://thefarahstack.com/images/posts/from-linear-algebra-to-agentic-ai.png" alt="Study path: From Linear Algebra to Agentic AI"&gt;&lt;/p&gt;&#10;&lt;p&gt;I am planning to revise basics and learn a few new topics along the way. Follow along if you are interested&amp;hellip;&lt;/p&gt;&#10;&lt;p&gt;The progression builds foundational math, moves into machine learning (ML), deep learning (DL), reinforcement learning (RL), and culminates in agentic AI: autonomous AI systems that can plan, reason, and act in complex environments.&lt;/p&gt;&#10;&lt;h2 id="mathematical-foundations"&gt;Mathematical Foundations&lt;/h2&gt;&#10;&lt;p&gt;Apply math as the base layer.&lt;/p&gt;</description></item><item><title>From Online Profile Paranoia to AI Complacency: Have We Really Stopped Caring About Privacy?</title><link>https://thefarahstack.com/research/online-profile-paranoia-to-ai-complacency/</link><pubDate>Thu, 25 Dec 2025 00:00:00 +0000</pubDate><guid>https://thefarahstack.com/research/online-profile-paranoia-to-ai-complacency/</guid><description>&lt;p&gt;&lt;img src="https://thefarahstack.com/images/posts/online-profile-paranoia-to-ai-complacency.png" alt="From online profile paranoia to AI complacency"&gt;&lt;/p&gt;&#10;&lt;p&gt;Hey there!!&lt;/p&gt;&#10;&lt;p&gt;Let&amp;rsquo;s chat about something that&amp;rsquo;s been on my mind a lot lately. Remember the days when we were all up in arms about how much the internet and big tech companies knew about us?&lt;/p&gt;&#10;&lt;p&gt;Our entire lives seemed to be online, from search histories, to locations, to all our shopping habits. That was the time we couldn&amp;rsquo;t stop talking about all the scary data breaches, the creepy targeted ads, and the surveillance fears.&lt;/p&gt;</description></item></channel></rss>