<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>ai-thought</title><description>Personal reflections on artificial intelligence</description><link>https://yli769227-jpg.github.io/</link><item><title>Why I Started Writing About AI</title><link>https://yli769227-jpg.github.io/blog/2026-04-16-hello-ai/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-16-hello-ai/</guid><description>The starting point of this blog — documenting my observations, reflections, and experiments with artificial intelligence.</description><pubDate>Thu, 16 Apr 2026 00:00:00 GMT</pubDate></item><item><title>我用 AI 这几年，真正沉淀下来的只有一样</title><link>https://yli769227-jpg.github.io/blog/2026-04-18-taste-in-ai-era/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-18-taste-in-ai-era/</guid><description>AI 迭代这么快，对话会失效，prompt 会过时，但有一样东西不会贬值：Taste。</description><pubDate>Sat, 18 Apr 2026 00:00:00 GMT</pubDate></item><item><title>AI 顶端模型：中国追赶美国的错觉？</title><link>https://yli769227-jpg.github.io/blog/2026-04-19-china-ai-catch-up-illusion/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-19-china-ai-catch-up-illusion/</guid><description>追上别人定的指标，你依然是跟随者。蒸馏是一条安全的路，但安全的路从来没有人引领过世界。</description><pubDate>Sun, 19 Apr 2026 00:00:00 GMT</pubDate></item><item><title>中国 AI 缺的不是钱，是等五年的耐心</title><link>https://yli769227-jpg.github.io/blog/2026-04-19-china-ai-patience/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-19-china-ai-patience/</guid><description>DeepSeek 证明了钱不是瓶颈。真正卡住我们的是：允许五年没产出的耐心。</description><pubDate>Sun, 19 Apr 2026 00:00:00 GMT</pubDate></item><item><title>从&quot;全自动&quot;到&quot;按例外管理&quot;:AI Agent 协作的真正边界</title><link>https://yli769227-jpg.github.io/blog/2026-04-19-exception-management-ai-agent/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-19-exception-management-ai-agent/</guid><description>我一开始想让 AI 替我回消息、跑完项目。但真正的问题不是&quot;要不要全自动&quot;,是&quot;哪些环节必须我在场&quot;。</description><pubDate>Sun, 19 Apr 2026 00:00:00 GMT</pubDate></item><item><title>AI 让我变成一个更高效的中位数</title><link>https://yli769227-jpg.github.io/blog/2026-04-19-high-efficiency-median/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-19-high-efficiency-median/</guid><description>AI 让效率提升了 30%,但没让我早下班。更隐蔽的代价是:我正在被拉向中位数,而且失去了意识到这件事的能力。</description><pubDate>Sun, 19 Apr 2026 00:00:00 GMT</pubDate></item><item><title>AI 发展的焦虑,替成年人问出来的那个 15 岁</title><link>https://yli769227-jpg.github.io/blog/2026-04-21-15-year-old-asks-ai-anxiety/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-21-15-year-old-asks-ai-anxiety/</guid><description>他问出来了,其他人没问。而 AI 不吃体面这一套——越端着,越落后。</description><pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate></item><item><title>从 Accept Edits 到 Bypass,我还差几堵墙</title><link>https://yli769227-jpg.github.io/blog/2026-04-21-from-accept-edits-to-bypass-five-walls/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-21-from-accept-edits-to-bypass-five-walls/</guid><description>升到 Bypass 不是勇气问题,是工程进度问题。信任不是一个按钮,是一个架构。</description><pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate></item><item><title>我的 Max 额度每周都用不完</title><link>https://yli769227-jpg.github.io/blog/2026-04-21-my-max-quota-never-runs-out/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-21-my-max-quota-never-runs-out/</guid><description>额度用不完不是任务少,是你还没学会带着底线让渡。密度 = 让渡 × 底线,任何一边为零,乘积都是零。</description><pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate></item><item><title>4 月的前端大战:四家都在拆同一堵墙,Kimi 把它开源了</title><link>https://yli769227-jpg.github.io/blog/2026-04-22-april-frontend-war-three-giants/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-22-april-frontend-war-three-giants/</guid><description>前三家拆协作链条,Kimi K2.6 开源直接拆掉付费墙。前端不再是岗位,是 prompt 能力——现在这个能力的门票也白菜化了。</description><pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate></item><item><title>追上 Opus 4.7 和 GPT-5.5 之后,仗才刚开始</title><link>https://yli769227-jpg.github.io/blog/2026-04-24-beyond-catching-opus/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-24-beyond-catching-opus/</guid><description>OpenAI 一周内连发 GPT-5.5 + GPT Image 2,Anthropic 上周刚推 Opus 4.7。模型分数只是入场券,Claude Code 和 Codex 这样的工作台才是真正的护城河——只卷模型,永远是别人房子的建材供应商。</description><pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate></item><item><title>我用 GPT Image 2 画图,卡住的是我自己</title><link>https://yli769227-jpg.github.io/blog/2026-04-24-gpt-image-2-stuck-on-myself/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-24-gpt-image-2-stuck-on-myself/</guid><description>设计师没被 AI 干掉,被干掉的是中间态。审美 × AI 操盘,才是个体在 AI 时代的 1+1&gt;2——任何一项为零,乘积都是零。</description><pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate></item><item><title>在你说被 AI 养废之前,先把密度堆上去</title><link>https://yli769227-jpg.github.io/blog/2026-04-27-density-before-atrophy/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-27-density-before-atrophy/</guid><description>&quot;AI 把人养废了&quot; 是 2026 年最流行的恐慌。但说这话的人,几乎全部是没真正密集用过 AI 的人。在没数据的时候喊养废,本质是用未来式的恐慌,合理化当下不行动的舒服。</description><pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate></item><item><title>我已经不亲自回消息了——当飞书机器人 + Claude Code 把我变成一个 router</title><link>https://yli769227-jpg.github.io/blog/2026-04-27-i-no-longer-reply-myself/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-27-i-no-longer-reply-myself/</guid><description>别人感觉是在跟我沟通,但实际上他们触达的是&quot;我 + AI&quot;的复合体。这不是自动回复,这是一种新的个人办公拓扑——AI 替我中转、整理、调取真实状态,我只负责 review 和把关。我从 information processor 变成了 router + reviewer。</description><pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate></item><item><title>AI 时代真正稀缺的不是工程师,是翻译官</title><link>https://yli769227-jpg.github.io/blog/2026-04-27-not-engineer-but-translator/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-27-not-engineer-but-translator/</guid><description>大家都在卷&quot;成为 AI 工程师&quot;,但 Anthropic / Palantir 在抢的是另一种人——既写 production 代码、又懂业务、又能跟客户对接的&quot;翻译官&quot;。这个角色在国内还没被命名,窗口期就在这两年。</description><pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate></item><item><title>差不多就只是差不多——AI 给你模具,雕刻还得自己来</title><link>https://yli769227-jpg.github.io/blog/2026-04-29-mold-vs-carving/</link><guid isPermaLink="true">https://yli769227-jpg.github.io/blog/2026-04-29-mold-vs-carving/</guid><description>GPT Image 2 一句话能给你一张&quot;差不多&quot;的图,但它只是大众的样貌,很快就被抛在脑后。AI 越来越擅长做模具,可雕刻这件事它替不了你——而当前 AI 时代,恰恰缺的是深度雕刻的内容。</description><pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate></item></channel></rss>