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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Computing Life - Computing</title><link>https://yage.ai/</link><description/><atom:link href="https://yage.ai/feeds/computing.rss.xml" rel="self"/><lastBuildDate>Mon, 22 Jun 2026 22:00:00 -0700</lastBuildDate><item><title>使用AI暴力模拟月全食的绿松石带</title><link>https://yage.ai/turquoise-band.html</link><description>&lt;p&gt;月食时月面边缘有一条青绿色的窄带，科普说那是臭氧吸收。但为什么是窄带不是整圈？为什么全食最深时反而看不见它？我们从最土的白圆盘开始，一层层加物理，硬算出这条带，在一路翻车里发现了一个更大的问题：AI 太懂物理，反而会把你带进前人留下的近似里。&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">grapeot</dc:creator><pubDate>Mon, 22 Jun 2026 22:00:00 -0700</pubDate><guid>tag:yage.ai,2026-06-22:/turquoise-band.html</guid><category>Computing</category><category>Chinese</category><category>Astrophotography</category><category>AI Technique</category></item><item><title>Simulating the Lunar Eclipse Turquoise Band with Brute-Force AI</title><link>https://yage.ai/turquoise-band-en.html</link><description>&lt;p&gt;During a lunar eclipse, a narrow green-blue band appears at the moon's edge; popular science says it is ozone absorption. But why a narrow band instead of a full ring? Why does it vanish at deepest totality? We start from the simplest white disk, layer in physics, and compute the band — and through repeated failures discover a bigger problem: AI knows physics too well, and will happily lead you into approximations left behind by earlier researchers.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">grapeot</dc:creator><pubDate>Mon, 22 Jun 2026 22:00:00 -0700</pubDate><guid>tag:yage.ai,2026-06-22:/turquoise-band-en.html</guid><category>Computing</category><category>English</category><category>Astrophotography</category><category>AI Technique</category></item><item><title>使用AI十倍提效，成了模范老黄牛，就能加薪升职了？</title><link>https://yage.ai/ai-productivity-trap.html</link><description>&lt;p&gt;我用AI提效很成功，产出和rating都是org最高之一，但升职两次都失败了。后来发现一个讽刺的陷阱：正因为手快好用，老板把你当手而非脑，项目零散多变，反而讲不清一年的成果。最擅长用AI的人，反而最容易被AI替代。破解之道是主动设计奖赏系统，把省下的时间用来做判断而非交付更多。&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">grapeot</dc:creator><pubDate>Sat, 20 Jun 2026 11:00:00 -0700</pubDate><guid>tag:yage.ai,2026-06-20:/ai-productivity-trap.html</guid><category>Computing</category><category>Chinese</category><category>AI</category><category>Career</category><category>Methodology</category></item><item><title>AI 10x'd My Productivity. I Became a Model Workhorse. I Didn't Get Promoted.</title><link>https://yage.ai/ai-productivity-trap-en.html</link><description>&lt;p&gt;AI made me a top performer. I was denied promotion twice. Speed makes bosses treat you as a hand, not a brain. The best AI users paradoxically become the most replaceable. The fix: design the incentive structure.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">grapeot</dc:creator><pubDate>Sat, 20 Jun 2026 10:00:00 -0700</pubDate><guid>tag:yage.ai,2026-06-20:/ai-productivity-trap-en.html</guid><category>Computing</category><category>English</category><category>AI</category><category>Career</category><category>Methodology</category></item><item><title>把18亿颗星星画在一张图上，能还原我们拍到的银河吗？</title><link>https://yage.ai/gaia-allsky.html</link><description>&lt;p&gt;从最直白的"一星一像素"出发，八次翻车、六亿颗星，一步一步把银河从真实星表里逼出来。在这个过程中才发现，以前从来没认真想过头顶的星空为什么长这个样子。&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">grapeot</dc:creator><pubDate>Sun, 14 Jun 2026 22:00:00 -0700</pubDate><guid>tag:yage.ai,2026-06-14:/gaia-allsky.html</guid><category>Computing</category><category>Chinese</category><category>Astrophotography</category><category>AI Technique</category></item><item><title>Can 1.8 Billion Stars Recreate the Milky Way We Photograph?</title><link>https://yage.ai/gaia-allsky-en.html</link><description>&lt;p&gt;Starting from the simplest "one star, one pixel" rendering, eight failures and 600 million stars later, the Milky Way slowly emerged from a real star catalog.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">grapeot</dc:creator><pubDate>Sun, 14 Jun 2026 21:00:00 -0700</pubDate><guid>tag:yage.ai,2026-06-14:/gaia-allsky-en.html</guid><category>Computing</category><category>English</category><category>Astrophotography</category><category>AI Technique</category></item><item><title>用好AI的第二步：先写Skill再执行</title><link>https://yage.ai/skill-first.html</link><description>&lt;p&gt;用好AI的第二步不是更会写 prompt，而是先外化、再复用。本文讲清 Skill 如何承载工作知识、好 Skill 的三要素，以及如何组织 Skill 文件夹让 Agent 自动找到。&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">grapeot</dc:creator><pubDate>Tue, 26 May 2026 14:10:00 -0700</pubDate><guid>tag:yage.ai,2026-05-26:/skill-first.html</guid><category>Computing</category><category>Chinese</category><category>Agentic AI</category><category>Methodology</category></item><item><title>Step Two to Using AI Well: Write the Skill Before You Execute</title><link>https://yage.ai/skill-first-en.html</link><description>&lt;p&gt;Step two isn't better prompting. It's externalize first, reuse second. This post explains how Skills carry work knowledge, the three parts of a good Skill, and how to organize them so agents find the right one.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">grapeot</dc:creator><pubDate>Tue, 26 May 2026 13:10:00 -0700</pubDate><guid>tag:yage.ai,2026-05-26:/skill-first-en.html</guid><category>Computing</category><category>English</category><category>Agentic AI</category><category>Methodology</category></item><item><title>AI如何导致和修复了我的失眠问题</title><link>https://yage.ai/ai-sleep.html</link><description>&lt;p&gt;作为一个重度AI用户，我在经历长期严重失眠后没有走常规的"排除变量"路线，而是用AI写了一个iOS app导出HealthKit数据，做多变量回归分析找到了真正的原因——晚上使用AI高强度思考。这篇文章分享了AI如何在全链条上提供执行力支持，也反思了人的judgment和认知上的成本结构，在AI时代如何重塑我们的决策路径。&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">grapeot</dc:creator><pubDate>Mon, 11 May 2026 17:00:00 -0700</pubDate><guid>tag:yage.ai,2026-05-11:/ai-sleep.html</guid><category>Computing</category><category>Chinese</category><category>AI</category><category>Health</category><category>Reflection</category></item><item><title>How AI Caused and Fixed My Insomnia</title><link>https://yage.ai/ai-sleep-en.html</link><description>&lt;p&gt;After weeks of severe insomnia, I used AI to build an iOS app that exported HealthKit data and ran multivariate regression to find the root cause—late-night AI-assisted intense multitasking. This post explores how AI provided end-to-end execution support and why certain things still require human judgment.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">grapeot</dc:creator><pubDate>Mon, 11 May 2026 16:00:00 -0700</pubDate><guid>tag:yage.ai,2026-05-11:/ai-sleep-en.html</guid><category>Computing</category><category>English</category><category>AI</category><category>Health</category><category>Reflection</category></item></channel></rss>