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Unexpected Perks of Talking to AI

<p>Justin Sun (the crypto guy) recently dropped a hot take: "It's 2026 already — if you can talk to AI, stop talking to humans." He also said something about deleting contacts born before 1990 and WeChat being for old people. Classic Justin Sun. Take it with a grain of salt.</p> <p>But strip away the absurd parts, and "talk to AI more" is something I actually agree with as a heavy user. Here's why, and where it falls apart.</p>
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跟AI交流的几个意外好处

<p>前段时间孙割有个暴论:"现在已经2026年了,大家能和AI聊天就不要和人类聊天。"后面还有什么删掉90年前出生人的联系方式、微信登味重之类的,典型的孙割风格,听个乐。</p> <p>但抛开那些离谱的部分,作为AI重度用户,谈谈AI的好处和坏处。</p>
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AI and Employment: A 200-Year-Old Debate

<p>Tech job boards in 2025 are schizophrenic. Traditional software engineering roles are shrinking. "AI"-prefixed positions are expanding. Same company, same quarter — cutting junior devs and project managers on one side, opening Agent orchestration engineers and AI application architects on the other.</p>
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AI与就业:一场200年没吵完的架

<p>2025 年科技行业的招聘页面很分裂:传统软件工程师岗位在缩,带"AI"前缀的职位在涨。同一家公司,左手砍初中级开发和项目管理,右手开 Agent 编排工程师和 AI 应用架构师。</p>
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LLMs Are the Monkeys That Finally Typed Shakespeare

<p>Nassim Taleb proposed a thought experiment in <em>Fooled by Randomness</em>: given infinite monkeys typing on infinite typewriters, one of them will eventually produce the complete text of the <em>Iliad</em>.</p> <p>The more I think about it, the more I believe this story's endgame is today's large language models.</p>
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LLM就是那群终于打出莎士比亚的猴子

<p>塔勒布在《随机漫步的傻瓜》里讲了一个思想实验:如果有无限只猴子在无限台打字机前随机敲击,总有一只会打出《伊利亚特》全文。</p> <p>我越想越觉得,这个故事的终局,就是今天的大语言模型。</p>
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Agents Are Supposed to Help, So Why Are We More Exhausted?

<p>I haven't updated my blog in over a year. Not out of laziness, nor because I've fallen behind on technology. It's more of a conviction: once AI became powerful enough, the value of technical blogs dropped significantly. People shifted from searching and reading to learning through direct conversations with AI. On top of that, AI-generated content floods social media the moment anything happens, making me feel there's little point in writing after the fact. Blog traffic has plummeted over the past year, which further killed my motivation to spend hours crafting a post. I miss the days when every article was painstakingly typed out, word by word, over hours or even days.</p> <p>AI tools have made remarkable progress in the past six months. As a heavy user, I want to talk about this: if agents are supposed to be our helpers, why do we feel more exhausted than ever?</p>
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明明Agent是帮手,为什么我们却越来越累?

<p>公众号一年多没更新了,不是因为懒,也不是因为自己没有跟上技术的步伐,而是因为有个执念,AI变强之后,技术博客本身的价值就大幅降低,大家学习的方式已经从搜索-学习变成了直接与AI对话的交互式学习。此外由于AI能力的加持,太多AI生成的公众号内容会第一时间发布一些内容,让我觉得步人后尘倒也没有太大必要。从博客的访问量上来看,最近一年的访问量也骤跌,更没有了花几小时写一篇文章的兴致。我更怀念那些一个字一个字几个小时甚至几天码出来的一篇博文的时光。</p> <p>最近半年AI工具有了长足进步,作为重度用户,聊聊”明明Agent是我们的帮手,为什么却感觉越来越累?”</p>
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Feb. 19, 2026

I came across this article from Benedict’s Newsletter arguing that AI would replace knowledge workers very soon: https://shumer.dev/something-big-is-happening. I rarely spend time reading through this kind of article because I tend to see them as essentially promoting anxiety for some kind of self-promotion. However, Benedict says in his newsletter, “You should read it, not to […]
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Feb. 12, 2026

Vibe coding/engineering cultivates high-level thinking and a tendency to resist focusing on concrete details. It favors task completion over internalized understanding. The sense of FOMO motivates people to think about what’s next instead of asking why. With the purchased computing power, tokens, or GPUs, we have to keep the machine busy. We need to plan […]
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Jan. 12, 2026

Some random (and mildly fun) thoughts while helping with a recent conference: Recent major AI conferences (NeurIPS, ICLR, CVPR) have all suffered from the issues of overwhelming submission volumes, and the reviewer pool inevitably expanded. The Organizers have then found themselves battling against LLM-generated reviews. ACs were asked to identify such irresponsible reviewers, authors were […]
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