<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>AI Literacy on TimoNova Tech Stack</title><link>/en/tags/ai-literacy/</link><description>Recent content in AI Literacy on TimoNova Tech Stack</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 17 Jul 2026 00:00:00 +0800</lastBuildDate><atom:link href="/en/tags/ai-literacy/index.xml" rel="self" type="application/rss+xml"/><item><title>AI and Intellectual Equality (5): Technology Creates Stratification, Equality Requires Rules</title><link>/en/posts/ai-equality-institutional-rules/</link><pubDate>Fri, 17 Jul 2026 00:00:00 +0800</pubDate><guid>/en/posts/ai-equality-institutional-rules/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt;
AI flattens old gaps while creating new layers of inequality. That is not a bug but the default path of technological change. Printing needed public education; the internet needed open-source institutions. AI’s equalizing effects will not complete themselves. The decisive arena is not the laboratory, but institutional design.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;hr&gt;
&lt;p&gt;This series has traced four journeys. First, AI lowers the threshold for basic skills while widening gaps in higher-order capability. Second, credentials lose signaling power while judgment earned through experience gains value. Third, outsourcing thought can quietly erode judgment. Fourth, applications become more universal while control over AI concentrates.&lt;/p&gt;</description></item><item><title>AI and Intellectual Equality (1): Basic Skills Flatten, Capability Gaps Widen</title><link>/en/posts/ai-intelligence-equality/</link><pubDate>Mon, 13 Jul 2026 00:00:00 +0800</pubDate><guid>/en/posts/ai-intelligence-equality/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;TL;DR&lt;/strong&gt;
AI is flattening basic skills: the barriers to programming, writing, and translation are approaching zero. Yet the same force is creating a deeper divide. When &lt;em&gt;what you can do&lt;/em&gt; is no longer scarce, &lt;em&gt;what you can judge&lt;/em&gt; becomes the true dividing line. This is not equality first and polarization later, but two sides of the same coin appearing at once.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;hr&gt;
&lt;p&gt;A junior programmer, only three months into the job, uses AI to write code and completes in one week a feature that once took a month. The code runs, the logic is coherent, and the project manager is pleased. Their output is almost indistinguishable from that of a colleague with three years of experience.&lt;/p&gt;</description></item></channel></rss>