<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:itunes="http://www.itunes.apple.com/dtds/podcast-1.0.dtd"
     xmlns:podcast="https://podcastindex.org/namespace/1.0"
     xmlns:atom="http://www.w3.org/2005/Atom"
     version="2.0">
  <channel>
    <title>Informed</title>
    <link>https://podcast.torkington.com</link>
    <description>Wiki articles read aloud</description>
    <language>en</language>
    <atom:link href="https://podcast.torkington.com/feed.xml" rel="self" type="application/rss+xml"/>
    <itunes:author>Nat Torkington</itunes:author>
    <itunes:explicit>false</itunes:explicit>
    <itunes:image href="https://podcast.torkington.com/artwork.jpg"/>
    <itunes:category text="Technology"/>
    
    <item>
      <title>MiMo Code (Quick Take)</title>
      <description>MiMo Code — Quick Take

Xiaomi's terminal-based coding agent, designed from first principles for long-horizon tasks (200+ execution steps). Where most coding agents treat memory as an afterthought bolted onto a ReAct loop, MiMo Code builds its entire architecture around three time scales: single-turn reasoning (computation), multi-turn continuity (memory), and cross-session improvement (evolution). The headline result: tied with Claude Code under 200 steps, wins 65%+ beyond 200. This is the first coding agent where the</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-12-mimo-code-quick/episode.mp3" length="9041090" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-12-mimo-code-quick/episode.mp3</guid>
      <pubDate>Fri, 12 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>9:24</itunes:duration>
      <itunes:episode>7</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-12-mimo-code-quick/</link>
    </item>
    
    <item>
      <title>MiMo Code (Deep Dive)</title>
      <description>MiMo Code — Deep Dive

MiMo Code is a terminal-based coding agent designed for extended automated programming tasks, tackling the challenge of "how to maintain decision quality and state continuity over dozens or even hundreds of execution steps." The article organizes its technical design around three pillars: computation, memory, and evolution.

Product links: Try it now, Docs, GitHub (MIT-licensed, built on OpenCode)

Source: https://mimo.xiaomi.com/blog/mimo-code-long-horizon</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-12-mimo-code-deep/episode.mp3" length="9779396" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-12-mimo-code-deep/episode.mp3</guid>
      <pubDate>Fri, 12 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>10:10</itunes:duration>
      <itunes:episode>8</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-12-mimo-code-deep/</link>
    </item>
    
    <item>
      <title>TRIZ (Quick Take)</title>
      <description>TRIZ — Quick Take

A Soviet-born systematic innovation methodology that turns invention from trial-and-error into a structured lookup process. Genrich Altshuller analyzed hundreds of thousands of patents to discover that inventive problems and their solutions follow repeatable patterns — then built a toolkit (40 principles, contradiction matrix, IFR, ARIZ) around that insight. The method works: documented ROI at Intel ($212.5M over 21 months) and Samsung (50 patents in a single year) proves it. But TRIZ's enduring</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-12-triz-quick/episode.mp3" length="7651842" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-12-triz-quick/episode.mp3</guid>
      <pubDate>Fri, 12 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>7:58</itunes:duration>
      <itunes:episode>9</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-12-triz-quick/</link>
    </item>
    
    <item>
      <title>TRIZ (Deep Dive)</title>
      <description>TRIZ — Deep Dive

TRIZ (pronounced /trɪz/) is a Russian acronym for teoriya resheniya izobretatelskikh zadach, meaning "theory of inventive problem solving." It's a methodology that merges "an organized, systematic method of problem-solving with analysis and forecasting techniques" drawn from studying global patent literature. The approach is guided by the laws of technical systems evolution.

Source: https://en.wikipedia.org/wiki/TRIZ</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-12-triz-deep/episode.mp3" length="7564528" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-12-triz-deep/episode.mp3</guid>
      <pubDate>Fri, 12 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>7:52</itunes:duration>
      <itunes:episode>10</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-12-triz-deep/</link>
    </item>
    
    <item>
      <title>TriadJS (Quick Take)</title>
      <description>TriadJS — Quick Take

TypeScript API framework where specification, implementation, validation, and tests are the same source of truth. Write a schema once using t.model(), and the framework derives static types, runtime validation, OpenAPI 3.1, AsyncAPI 3.0, executable BDD scenarios, automatic adversarial fuzz tests, Gherkin feature files, typed frontend hooks (React/Solid/Vue/Svelte Query), typed WebSocket clients, database schemas (Drizzle/Postgres/SQLite), form validators, and breaking-change detection — all with</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-12-triadjs-quick/episode.mp3" length="10183406" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-12-triadjs-quick/episode.mp3</guid>
      <pubDate>Fri, 12 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>10:36</itunes:duration>
      <itunes:episode>11</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-12-triadjs-quick/</link>
    </item>
    
    <item>
      <title>TriadJS (Deep Dive)</title>
      <description>TriadJS — Deep Dive

Triad (also called TriadJS) is a TypeScript-first API framework built on the idea that an API's specification, implementation, validation, and tests should never drift apart because they are the same thing. It's a monorepo of 21 packages, 4 reference examples, 83+ behavior scenarios, and 1000+ tests.

The central thesis: write TypeScript once using Triad's declarative DSL, and you get runtime validation, static types, OpenAPI 3.1, AsyncAPI 3.0, executable BDD scenarios, automatic adversarial tes

Source: https://github.com/justhamade/triadjs</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-12-triadjs-deep/episode.mp3" length="18167172" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-12-triadjs-deep/episode.mp3</guid>
      <pubDate>Fri, 12 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>18:54</itunes:duration>
      <itunes:episode>12</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-12-triadjs-deep/</link>
    </item>
    
    <item>
      <title>99 Bottles of OOP (Quick Take)</title>
      <description>99 Bottles of OOP — Quick Take

Sandi Metz's practical workbook on writing cost-effective, maintainable object-oriented code. Available in Python, JavaScript, PHP, and Ruby. Uses an extended refactoring of the "99 Bottles of Beer" song to teach OO design not as abstract principles but as a decision-making discipline for every line you write. The 2nd edition is ~105,000 words across 3 new chapters.

Source: https://sandimetz.com/99bottles</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-11-99-bottles-of-oop-quick/episode.mp3" length="3448171" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-11-99-bottles-of-oop-quick/episode.mp3</guid>
      <pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>3:35</itunes:duration>
      <itunes:episode>1</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-11-99-bottles-of-oop-quick/</link>
    </item>
    
    <item>
      <title>99 Bottles of OOP (Deep Dive)</title>
      <description>99 Bottles of OOP — Deep Dive

A practical guide to writing cost-effective, maintainable, and pleasing object-oriented code. Available in Python, JavaScript, PHP, and Ruby editions. Also comes in "beer" and "milk" beverage variants. Digital-only formats: epub, kepub, mobi, pdf. Current version: 2.2.2 (as of December 1, 2024), approximately 105,000 words.

Source: https://sandimetz.com/99bottles</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-11-99-bottles-of-oop-deep/episode.mp3" length="2617351" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-11-99-bottles-of-oop-deep/episode.mp3</guid>
      <pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>2:43</itunes:duration>
      <itunes:episode>2</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-11-99-bottles-of-oop-deep/</link>
    </item>
    
    <item>
      <title>Apache Burr (Quick Take)</title>
      <description>Apache Burr — Quick Take

Apache Burr (incubating) is an open-source Python framework for building AI agents and applications as explicit state machines. Instead of chaining LLM calls through opaque abstractions, you decorate plain Python functions as @actions that read and write typed state, wire them into transitions with ApplicationBuilder, and get persistence, observability, replay, and a debugging UI for free. Built by DAGWorks Inc. and donated to the Apache Foundation.

Source: https://burr.apache.org/</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-11-apache-burr-quick/episode.mp3" length="8041999" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-11-apache-burr-quick/episode.mp3</guid>
      <pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>8:22</itunes:duration>
      <itunes:episode>3</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-11-apache-burr-quick/</link>
    </item>
    
    <item>
      <title>Apache Burr (Deep Dive)</title>
      <description>Apache Burr — Deep Dive

Apache Burr is an open-source Python framework (currently undergoing Apache Incubation) for building AI applications that make decisions. It describes itself as enabling developers to "build reliable AI agents and applications" ranging from simple chatbots to complex multi-agent systems. The framework is "Pure Python, no magic."

Current status: Apache Incubating project (not yet fully endorsed by the ASF). Sponsored by the Apache Incubator. Copyright assigned to The Apache Software Foundation (

Source: https://burr.apache.org/</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-11-apache-burr-deep/episode.mp3" length="5629976" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-11-apache-burr-deep/episode.mp3</guid>
      <pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>5:51</itunes:duration>
      <itunes:episode>4</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-11-apache-burr-deep/</link>
    </item>
    
    <item>
      <title>Science and Statistics (Box) (Quick Take)</title>
      <description>Science and Statistics (Box) — Quick Take

George Box's 1976 R.A. Fisher Memorial Lecture — the paper that gave us "all models are wrong." Box argues that science advances through a motivated feedback loop between theory and practice, not by speculation or data accumulation alone. He uses Fisher's decade at Rothamsted Experimental Station as the master case study: dung data → orthogonal polynomials, a lady tasting tea → experimental design, cotton yarn → extreme value theory, potatoes → ANOVA. Every major statistical advance Fisher made 

Source: https://www-sop.inria.fr/members/Ian.Jermyn/philosophy/writings/Boxonmaths.pdf</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-11-science-and-statistics-(box)-quick/episode.mp3" length="10859935" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-11-science-and-statistics-(box)-quick/episode.mp3</guid>
      <pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>11:18</itunes:duration>
      <itunes:episode>5</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-11-science-and-statistics-(box)-quick/</link>
    </item>
    
    <item>
      <title>Science and Statistics (Box) (Deep Dive)</title>
      <description>Science and Statistics (Box) — Deep Dive

George E. P. Box

R.A. Fisher Memorial Lecture, 1974. Published in the Journal of the American Statistical Association, December 1976, Volume 71, Number 356.

Source: https://www-sop.inria.fr/members/Ian.Jermyn/philosophy/writings/Boxonmaths.pdf</description>
      <enclosure url="https://podcast.torkington.com/episodes/2026-06-11-science-and-statistics-(box)-deep/episode.mp3" length="6061151" type="audio/mpeg"/>
      <guid>https://podcast.torkington.com/episodes/2026-06-11-science-and-statistics-(box)-deep/episode.mp3</guid>
      <pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate>
      <itunes:duration>6:18</itunes:duration>
      <itunes:episode>6</itunes:episode>
      <link>https://podcast.torkington.com/episodes/2026-06-11-science-and-statistics-(box)-deep/</link>
    </item>
    
  </channel>
</rss>