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    <pubDate>Sat, 10 Jan 2026 22:33:32 -0800</pubDate>
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      <author>Tyler Neylon</author>
      <description><![CDATA[This is an experiment to see if Claude can write poetry. I collaborated with Claude Opus 4.5 to create a structure called a corona, which consists of 15 sonnets, the final sonnet being composed of the first lines of fourteen preceding pieces.]]></description>
      <link>https://tylerneylon.com/a/corona/index.html</link>
      <pubDate>Sat, 10 Jan 2026 22:33:32 -0800</pubDate>
      <title>Claude the Poet</title>
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      <author>Tyler Neylon</author>
      <description><![CDATA[A simple model of how digital minds might work. <img src="https://tylerneylon.com/a/mind_model/img/mind_model_v2.png">]]></description>
      <link>https://tylerneylon.com/a/mind_model/mind_model.html</link>
      <pubDate>Sun, 30 Jun 2024 15:12:34 -0700</pubDate>
      <title>A Model of a Mind</title>
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      <author>Tyler Neylon</author>
      <description><![CDATA[This is a 3d puzzle you can build with Legos, and might be able to solve in your head. <img src="https://tylerneylon.com/a/lego_puzzle/img/home_model.jpg">]]></description>
      <link>https://tylerneylon.com/a/lego_puzzle/lego_puzzle.html</link>
      <pubDate>Sat, 20 Jan 2024 12:47:18 -0800</pubDate>
      <title>A Simple 3D Puzzle</title>
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      <author>Tyler Neylon</author>
      <description><![CDATA[A thoughtful book summary and review for Cal Newport's So Good They Can't Ignore You. <img src="https://tylerneylon.com/b/newport_book/newport_illustration.png">]]></description>
      <link>https://tylerneylon.com/b/newport_book/newport_book.html</link>
      <pubDate>Wed, 18 Oct 2023 11:31:08 -0700</pubDate>
      <title>Review and Analysis: So Good They Can't Ignore You</title>
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      <author>Tyler Neylon</author>
      <description><![CDATA[While working on a prototype machine learning system in Python, I hit a concurrency deadlock that seemed at first to be impossible. This is the story of that bug. <img src="https://tylerneylon.com/a/py_bug_analysis/img/deadlock_diagram.png">]]></description>
      <link>https://tylerneylon.com/a/py_bug_analysis/py_bug_analysis.html</link>
      <pubDate>Fri, 27 Jan 2023 14:02:24 -0800</pubDate>
      <title>Post Mortem of a Sneaky Bug Whilst Using Python Multiprocessing</title>
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      <author>Tyler Neylon</author>
      <description><![CDATA[This short article describes a chalkboard method for multiplying (that is, composing) permutations written in cycle notation. <img src="https://tylerneylon.com/a/perms2/perms2.jpg">]]></description>
      <link>https://tylerneylon.com/a/perms2/perms2.html</link>
      <pubDate>Mon, 01 Aug 2022 14:24:11 -0700</pubDate>
      <title>Notes on Permutations: A Chalkboard Algorithm</title>
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      <author>Tyler Neylon</author>
      <description><![CDATA[This is a collection of notes about permutations — all the different ways of ordering a set of distinct elements. <img src="https://tylerneylon.com/a/perms1/perms_img.png">]]></description>
      <link>https://tylerneylon.com/a/perms1/perms1.html</link>
      <pubDate>Sun, 19 Jun 2022 23:15:07 -0700</pubDate>
      <title>Notes on Permutations: Cycles and Transpositions</title>
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      <author>Tyler Neylon</author>
      <description><![CDATA[This article is an illustrated tour of neural networks in their primordial, untrained state. Neural networks are notoriously difficult beasts to understand. My aim is to provide a peek into the inherent beauty of this challenging world, and to build your intuition for how to set up neural networks through informed hyperparameter choices. <img src="https://tylerneylon.com/a/randnn/images/randnn2_small.png">]]></description>
      <link>https://tylerneylon.com/a/randnn/index.html</link>
      <pubDate>Tue, 05 Apr 2022 11:35:58 -0700</pubDate>
      <title>A Visual Exploration of Random Neural Networks</title>
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      <author>Tyler Neylon</author>
      <description>Locality-sensitive hashing (LSH) is a set of techniques that dramatically speed up search-for-neighbors or near-duplication detection on data. These techniques can be used, for example, to filter out duplicates of scraped web pages at an impressive speed, or to perform near-constant-time lookups of nearby points from a geospatial data set.</description>
      <link>https://tylerneylon.com/a/lsh1/index.html</link>
      <pubDate>Tue, 18 Sep 2018 00:00:00 -0700</pubDate>
      <title>Introduction to Locality-Sensitive Hashing</title>
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      <author>Tyler Neylon</author>
      <description>What does it mean for something to be true? What can we do to verify that something is true? How can we discover new truths? This article is about a conceptual model of truth that may help answer these questions.</description>
      <link>https://tylerneylon.com/a/thought1/index.html</link>
      <pubDate>Sun, 22 Apr 2018 00:00:00 -0700</pubDate>
      <title>A Model of Human Thought: Philosophy</title>
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