<?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 Tolics Engineering Mind</title><link>https://freerangetolic.com/categories/ai/</link><description>Recent content in AI on Tolics Engineering Mind</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 27 May 2026 11:21:50 +1000</lastBuildDate><atom:link href="https://freerangetolic.com/categories/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Agentic AI Was Invented in Melbourne</title><link>https://freerangetolic.com/posts/2026-05-22-agentic-ai-was-invented-in-melbourne/</link><pubDate>Fri, 22 May 2026 00:00:00 +0000</pubDate><guid>https://freerangetolic.com/posts/2026-05-22-agentic-ai-was-invented-in-melbourne/</guid><description>&lt;p&gt;Provocative claim. Bear with me.&lt;/p&gt;
&lt;p&gt;The current agentic AI boom — &lt;a href="https://freerangetolic.com/posts/2026-05-15-ai-tech-in-one-sentence/#7-llm"&gt;LLMs&lt;/a&gt; in loops, calling tools, reasoning about their next action — has an intellectual lineage. And the most load-bearing node in that lineage isn&amp;rsquo;t in Silicon Valley. It&amp;rsquo;s in Melbourne.&lt;/p&gt;
&lt;p&gt;In 1991, two researchers at the &lt;strong&gt;Australian Artificial Intelligence Institute&lt;/strong&gt; — Michael Georgeff and Anand Rao — published &lt;em&gt;Modeling Rational Agents within a BDI-Architecture&lt;/em&gt;. BDI stands for Belief–Desire–Intention. It&amp;rsquo;s the framework that gave AI a working theory of how a software agent could form goals, plan actions, and &lt;em&gt;commit&lt;/em&gt; to them over time without throwing the plan out the moment something twitched.&lt;/p&gt;</description></item><item><title>AI Tech in One Sentence</title><link>https://freerangetolic.com/posts/2026-05-15-ai-tech-in-one-sentence/</link><pubDate>Fri, 15 May 2026 00:00:00 +0000</pubDate><guid>https://freerangetolic.com/posts/2026-05-15-ai-tech-in-one-sentence/</guid><description>&lt;blockquote&gt;
&lt;p&gt;If you can&amp;rsquo;t explain it simply, you don&amp;rsquo;t understand it.
— commonly attributed to Albert Einstein&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;The AI field has accumulated a fog of acronyms. Most explanations either bury the reader in jargon or hand-wave the concept into uselessness. Below is an attempt at the discipline of one sentence per concept — enough precision to hold the actual idea in your head, no more.&lt;/p&gt;
&lt;p&gt;The order builds: the field, the hardware that enabled it, the process that produces models, the representations they learn, the models themselves, how we use them, and how we extend them.&lt;/p&gt;</description></item></channel></rss>