<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning on Lynx Tech Blog</title><link>https://blog.lynxflow.co/en/tags/learning/</link><description>Recent content in Learning on Lynx Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sat, 05 Sep 2026 02:30:00 +0800</lastBuildDate><atom:link href="https://blog.lynxflow.co/en/tags/learning/index.xml" rel="self" type="application/rss+xml"/><item><title>'Scattered' Is the Method: Why Messy Research Builds the One Skill AI Can't Replace</title><link>https://blog.lynxflow.co/en/posts/scattered-is-the-method/</link><pubDate>Sat, 05 Sep 2026 02:30:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/scattered-is-the-method/</guid><description>&lt;img src="https://blog.lynxflow.co/images/scattered-is-the-method.png" alt="Featured image of post 'Scattered' Is the Method: Why Messy Research Builds the One Skill AI Can't Replace" /&gt;Someone read my stuff and threw this at me: &amp;ldquo;These scattered, messy research articles are useless.&amp;rdquo;
I understand why he says that. What he sees: expired patents, vulnerability terminology, proxy nodes, credential debugging — a grab bag of scattered topics, most of them with hardly any readers. By the yardstick of &amp;ldquo;did anyone pick up this article and use it,&amp;rdquo; every single one looks useless.
But he&amp;rsquo;s using the wrong yardstick, and measuring the wrong thing.</description></item></channel></rss>