But Me Thinking
Thoughts on AI, career, and technology
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花几亿训练的模型白送，图什么
2025年1月20日，一个叫DeepSeek的中国公司把一个AI推理模型放到了Hugging Face上。MIT许可证，随便下载，随便修改，可以拿去赚钱，不用付一分钱授权费。
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Giving Away a Model That Cost Hundreds of Millions to Train — What's the Play?
On January 20, 2025, a Chinese company called DeepSeek put an AI reasoning model on Hugging Face. MIT license—download it, modify it, use it to make money, no l…
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你以为 LLM 是更快的猴子，其实它根本不是猴子
猴子、π、LLM——三种被混为一谈的「写出莎士比亚」方式，其实差着十万八千里。
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You Think an LLM Is a Faster Monkey. It Is Not a Monkey at All.
Monkeys, π, and LLMs are three ways people conflate 'writing Shakespeare' — but they are worlds apart.
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它能把跑偏的句子圆回来，却圆不回一个说错的答案
语言模型在长序列生成中的自我纠偏能力：它救得了形式，救不了事实。
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It Can Walk Back a Wandering Sentence. It Cannot Walk Back a Wrong Answer.
Language models can self-correct form in long-context generation — but not committed facts.
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韩信多多益善，而你还在带十万兵
> AI 没有让组织扁平化。AI 只是第一次让「协议成本」这件事被精确定价了。
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Han Xin Could Command an Army of Any Size. You're Still Stuck at One Hundred Thousand.
> AI hasn't flattened organizations. AI is simply the first technology to put a precise price on "protocol cost."
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Sixty Lines to Run an Agent — The Hard Part Comes After It Runs
Friday night, he wanted to build himself a little something: an AI assistant that could check the weather on its own, read local files, and crunch a couple of n…
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六十行跑起来一个 agent，难在跑起来之后
周五晚上，他想给自己写个小东西：一个能自己查天气、读本地文件、必要时算两笔账的 AI 助手。听起来一个晚上能搞定。
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你和AI聊了三年，学到了什么
他打开了 ChatGPT 的对话历史。
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You've Talked to AI for Three Years. What Have You Learned?
He opened his ChatGPT history.
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Every Time Machines Threaten Jobs, the Table Gets Bigger
Maor Shlomo cannot write frontend code. He cannot do UI design, doesn't understand DevOps, has no investor contacts, and lacks enough cash in his bank account t…
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If Anyone Can Build It, What Does a Portfolio Prove?
Two weeks. Eight projects. You stuff them one by one into your portfolio page, each with a screenshot, each clickable and runnable. Landing pages, AI note-takin…
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The "Cooking Without Rice" of AI Writing: Why You Can't Write Good Articles with AI?
Open Claude or ChatGPT in your browser and type a smooth prompt into the dialogue box:
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This Time, the Loom Might Actually Win
Sarah Chen has worked as a translator for eleven years. English-Chinese and Chinese-English, specializing in technical documents and legal contracts. Her client…
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The More Perfect Your Resume, the More Useless It Becomes
Dabulis was recently laid off. He decided to look for a job seriously—and to do it "smartly."
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AI's "Perfect Trap": Why the More Capable the Assistant, the Less We Learn
You ask ChatGPT to break down problems using a specific structure every time. One framework, several months, dozens of conversations. One day you close your bro…
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Compensation Forces Don't Appear on Their Own; You Have to Find Them
When cotton cloth becomes cheaper, people buy more clothes—this is intuitive. When opening bank branches becomes cheaper, banks open more branches—also intuitiv…
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What Becomes More Expensive After a 400x Token Price Drop?
In November 2021, the GPT-3 API was made public. Sixty dollars per million tokens. In July 2024, GPT-4o-mini was released, with the price for similar tasks drop…
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In 2026, to Make Money with AI, First Find Where AI Can't Help You
A-Zhe had been running a food channel for two years and went all in on AI by the end of 2025. He let AI handle topic selection, script writing, and cover design…
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Ten AI Projects Can't Buy One Interview
Chen Fan submitted his resignation on the third day after New Year's 2025. At 29, a backend engineer with five years under his belt, he wasn't exactly burned ou…
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The Cheaper the Tokens, The More Insatiable the World
In November 2021, the GPT-3 API opened to the public. The price: $60 per million tokens.
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Where Does the Time Go When Waiting for AI?
You tell Claude Code to refactor an authentication module. It gets to work—reading files, analyzing dependencies, forming a plan, writing code, running tests.
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The More You Write, the Less People Remember You
It's 11 p.m. You've just finished formatting and publishing your third article of the day. You spent half an hour selecting the image, rewrote the headline five…
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The Compiler Decides Right and Wrong, Hierarchy Decides Qualification
Zhang Ming and Li Ting joined the same internet company on the same day, both fresh graduates.
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Information Has Never Been This Easy to Find, Nor This Unreliable
Jake Moffatt's mother passed away. He needed to fly from Vancouver back to Toronto for the funeral.
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每一次「机器抢饭碗」，饭桌最后都变大了
Maor Shlomo 不会写前端代码。他也不会做 UI 设计，不懂 DevOps，没有投资人的电话号码，银行账户里没有能烧半年的现金。
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谁都能做出来，那作品集还证明什么
两周，8 个项目。你把它们一个个塞进作品集页面，每个都配了截图，每个都能点进去跑。落地页、AI 笔记工具、数据看板、一个小游戏，技术栈写得满满当当。你看着这一排东西，挺有成就感，觉得这下总该有人理我了。
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AI写作的「无米之炊」：为什么你用 AI 写不出好文章？
在浏览器里打开 Claude 或者是 ChatGPT，在对话框里输入一串流畅的 Prompt：
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这一次，织布机可能真的会赢
Sarah Chen 做了十一年翻译。英中互译，技术文档和法律合同是她的专长。她的客户包括两家《财富》500 强公司和一家国际律所。工作稳定，收入体面，每年涨一点。
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你把简历改得越完美，它就越没用
Dabulis 最近被裁了。他决定认真找工作，而且要找得"聪明"。
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AI 的「完美陷阱」：为什么越全能的助手，越让人学不到东西
你让 ChatGPT 每次用某种结构拆解问题。一个框架，几个月，对话了几十次。某天你关掉浏览器，面对一个真问题，下意识地想调用那个结构，却发现怎么也想不起来。你只记得当时 AI 给过一个很好的答案。
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补偿力量不会自己出现，你得去找它
棉布变便宜了，人们多买衣服——直觉就能理解。银行开网点变便宜了，银行多开分店——也很直觉。这两个故事被反复用来论证"AI 不会消灭工作"：效率提升 → 成本下降 → 需求膨胀 → 就业增加。
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Token 降价 400 倍之后，什么变贵了
2021 年 11 月，GPT-3 的 API 对外开放。每百万 token 60 美元。2024 年 7 月，GPT-4o-mini 发布，同类任务的价格降到了每百万 token 0.15 美元。三年不到，降了 400 倍。
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2026 年用 AI 赚钱，先找到 AI 帮不了你的地方
阿哲做美食号两年，2025 年底开始 all in AI。选题让 AI 出，脚本让 AI 写，封面让 AI 画，一天能产五条，比以前一周还多。
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十个 AI 项目，换不来一个面试
陈帆是在 2025 年元旦后第三天递的辞呈。29 岁，后端工程师，干了五年，不算厌倦，就是有个越来越强的念头：再不出来自己折腾点东西，这波浪潮就跟他没关系了。
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Token 越便宜，世界越饥渴
2021 年 11 月，GPT-3 的 API 对外开放。价格：每百万 token 60 美元。
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等 AI 的时间去哪了
你让 Claude Code 重构一个认证模块。它开始工作——读文件、分析依赖、制定计划、写代码、跑测试。
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你写得越多，越没人记得你
晚上十一点，你刚把今天第三篇文章排好版发出去。配图选了半小时，标题改了五版，正文是 AI 起的稿，你顺了一遍语序、加了两个自己的例子。看上去挺像样。
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编译器判定对错，层级判定合格
张明和李婷在同一天入职，同一家互联网公司，同样刚毕业。
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信息从未如此好找，也从未如此不可信
Jake Moffatt 的母亲去世了。他需要从温哥华飞回多伦多参加葬礼。