<?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>Translation on My Space</title><link>https://famer.me/tags/Translation/</link><description>Recent content in Translation on My Space</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 20 Aug 2026 16:18:37 +0800</lastBuildDate><atom:link href="https://famer.me/tags/Translation/index.xml" rel="self" type="application/rss+xml"/><item><title>Ming's Spell Compendium #6 -- A Generalized Curry–Howard Proof Searcher and Program Synthesizer (Crackpotizen Edition)</title><link>https://famer.me/2026/08/20/generalized-curry-howard-proof-search-and-program-synthesizer-en/</link><pubDate>Thu, 20 Aug 2026 16:18:37 +0800</pubDate><guid>https://famer.me/2026/08/20/generalized-curry-howard-proof-search-and-program-synthesizer-en/</guid><description>&lt;p&gt;“Crackpotizen” combines “crackpot” and “citizen”: formal methods for the rest of us.&lt;/p&gt;
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&lt;p&gt;&lt;em&gt;This is a cultural adaptation, not a literal translation, of the &lt;a href="https://famer.me/2026/08/20/generalized-curry-howard-proof-search-and-program-synthesizer/"&gt;original Chinese article&lt;/a&gt;. The running “crackpot” joke plays on &lt;strong&gt;minke&lt;/strong&gt; (民科), usually dismissive slang for an amateur theorist, and on the author&amp;rsquo;s name, Ming.&lt;/em&gt;&lt;/p&gt;</description></item><item><title>Ming's Spell Compendium #4 -- The Art of Whipping AI Grunts: FP's Great Comeback?</title><link>https://famer.me/2026/03/11/AI-native-coding-style-en/</link><pubDate>Wed, 11 Mar 2026 20:00:00 +0800</pubDate><guid>https://famer.me/2026/03/11/AI-native-coding-style-en/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;This is a cultural adaptation — not a literal translation — of the &lt;a href="https://famer.me/2026/03/11/AI-native-coding-style/"&gt;original Chinese article&lt;/a&gt;. Recurring coined terms: &lt;strong&gt;grunts&lt;/strong&gt; = AI agents doing the coding labor; &lt;strong&gt;boss&lt;/strong&gt; = the human; &lt;strong&gt;whip-iler&lt;/strong&gt; = a portmanteau of &amp;ldquo;whip&amp;rdquo; + &amp;ldquo;compiler&amp;rdquo; (the compiler that whips misbehaving grunts back in line).&lt;/em&gt;&lt;/p&gt;
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&lt;p&gt;&lt;strong&gt;Previously on&amp;hellip;&lt;/strong&gt; &lt;a href="https://famer.me/2026/03/09/AI-and-Human-Whats-Next-en/"&gt;Ming&amp;rsquo;s Spell Compendium #3 &amp;ndash; AI Programming: The Next Chapter&lt;/a&gt;&lt;/p&gt;
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&lt;h1 id="times-have-changed"&gt;Times Have Changed&lt;/h1&gt;
&lt;p&gt;Let&amp;rsquo;s be honest: in more and more projects, the primary author of the code is already AI. Your coworkers have quietly subscribed to Cursor pro plans or OpenAI&amp;rsquo;s Codex. They toss requirements at the AI every morning, then spend their valuable working hours scrolling Reddit, day-trading meme stocks, nursing their phones back to full charge, &lt;del&gt;and quietly tanking their own projects&lt;/del&gt;. The human role is shifting from &amp;ldquo;writing code&amp;rdquo; to &amp;ldquo;feeding PRDs to the AI, pretending to review AI code, occasionally deploying some good old workplace gaslighting (&amp;lsquo;You don&amp;rsquo;t want the job? There&amp;rsquo;s plenty of AI that do.&amp;rsquo;), and having the AI ghost-write your performance reviews and passive-aggressive emails.&amp;rdquo;&lt;/p&gt;</description></item><item><title>Ming's Spell Compendium #3 -- AI Programming: The Next Chapter</title><link>https://famer.me/2026/03/09/AI-and-Human-Whats-Next-en/</link><pubDate>Mon, 09 Mar 2026 20:00:00 +0800</pubDate><guid>https://famer.me/2026/03/09/AI-and-Human-Whats-Next-en/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;This is a cultural adaptation — not a literal translation — of the &lt;a href="https://famer.me/2026/03/09/AI-and-Human-Whats-Next/"&gt;original Chinese article&lt;/a&gt;.&lt;/em&gt;&lt;/p&gt;
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&lt;p&gt;&lt;strong&gt;Conflict of interest disclosure&lt;/strong&gt;: This is not investment advice. I&amp;rsquo;m not shilling any AI tool or API reseller. Everything here comes from ~$20K worth of token-burning personal experience. Different project types and different coding tastes may lead to different conclusions.&lt;/p&gt;
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&lt;h1 id="previously-on"&gt;Previously On&amp;hellip;&lt;/h1&gt;
&lt;blockquote&gt;
&lt;p&gt;&lt;a href="https://famer.me/2026/02/24/AI-vs-Human-en/"&gt;Ming&amp;rsquo;s Spell Compendium #2 &amp;ndash; You Terrifying Upright Apes Are Underestimating Yourselves&lt;/a&gt;&lt;/p&gt;
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&lt;p&gt;In the last installment, we established: AI&amp;rsquo;s knowledge reserves dwarf any individual&amp;rsquo;s, but that knowledge is hard to awaken; your ability to discern quality sets the ceiling on output quality; the trigger for better results is always your own growth, not AI&amp;rsquo;s spontaneous breakthrough.&lt;/p&gt;</description></item><item><title>Ming's Spell Compendium #2 -- You Terrifying Upright Apes Are Underestimating Yourselves</title><link>https://famer.me/2026/02/24/AI-vs-Human-en/</link><pubDate>Tue, 24 Feb 2026 08:37:43 +0800</pubDate><guid>https://famer.me/2026/02/24/AI-vs-Human-en/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;This is a cultural adaptation — not a literal translation — of the &lt;a href="https://famer.me/2026/02/24/AI-vs-Human/"&gt;original Chinese article&lt;/a&gt;. Some Chinese cultural references have been swapped for Western equivalents that hit the same emotional note.&lt;/em&gt;&lt;/p&gt;
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&lt;p&gt;&lt;strong&gt;Previously on&amp;hellip;&lt;/strong&gt; &lt;a href="https://famer.me/2026/02/06/vibe-coding-one-year-reflection-en/"&gt;Ming&amp;rsquo;s Spell Compendium #1 &amp;ndash; One Year of Vibe Coding: A Cold Hard Look&lt;/a&gt;&lt;/p&gt;
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&lt;h1 id="foreword"&gt;Foreword&lt;/h1&gt;
&lt;p&gt;Humans, you&amp;rsquo;re selling yourselves short.&lt;/p&gt;
&lt;h1 id="how-much-can-ai-amplify-you"&gt;How Much Can AI Amplify You?&lt;/h1&gt;
&lt;p&gt;Last year (2024), my working hypothesis was: even with AI, you can&amp;rsquo;t dramatically exceed the user&amp;rsquo;s own ability. If AI&amp;rsquo;s training data represents the sum total of human knowledge, then the current crop of agentic evangelists would have you believe that professional expertise has become a worthless commodity in this era — because AI can write code like Linus, write novels like Hemingway, etc.&lt;/p&gt;</description></item><item><title>Ming's Spell Compendium #1 -- One Year of Vibe Coding: A Cold Hard Look</title><link>https://famer.me/2026/02/06/vibe-coding-one-year-reflection-en/</link><pubDate>Fri, 06 Feb 2026 13:44:21 +0800</pubDate><guid>https://famer.me/2026/02/06/vibe-coding-one-year-reflection-en/</guid><description>&lt;blockquote&gt;
&lt;p&gt;&lt;em&gt;This is a cultural adaptation — not a literal translation — of the &lt;a href="https://famer.me/2026/02/06/vibe-coding-one-year-reflection/"&gt;original Chinese article&lt;/a&gt;. Some Chinese cultural references have been swapped for Western equivalents that hit the same emotional note.&lt;/em&gt;&lt;/p&gt;
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&lt;h1 id="foreword"&gt;Foreword&lt;/h1&gt;
&lt;p&gt;Over the past year I&amp;rsquo;ve burned through more than $10,000 in API tokens across Google, Anthropic, and OpenAI. So everything in this article is based on hands-on experience with the strongest models available — Opus 4.6, Codex-5.3-xhigh, Gemini 3 Pro — used without budget constraints.&lt;/p&gt;</description></item></channel></rss>