Change Your Company Is Still 'Using AI.' Theirs Already IS an AI Company. Based on three McKinsey agentic organization reports and my two-month AI tool journey, why small businesses must move from AI Enhanced to AI Native.
Change 你的公司还在'用AI',别人的公司已经是'AI公司'了 基于三份麦肯锡智能体组织报告,结合我两个月AI工具迭代经历,聊聊为什么小微企业必须主动从AI Enhanced转向AI Native。
Change Tacit Knowledge: The Blind Spot in AI Education Stanford research shows: 83% of students using AI-assisted writing can't recall what they just wrote, compared to only 11% in the control group. Behind this number is a deeper question: What do children lose when they outsource thinking to AI?
Change 隐性知识:AI教育的困境 研究显示:83% 使用 AI 辅助写作的学生无法复述自己刚写的文章,对照组只有 11%。这个数字背后,是一个更深层的问题:当孩子把思考过程外包给 AI 时,他们失去的是什么?MIT 学生采访航空维护 AI 创始人时发现,AI 只能学到被写下来的东西,而人类知道的有很大一部分从未被语言编码——这就是隐性知识。顶级 AI 高管给孩子的建议惊人一致:不是学 AI 工具,而是培养同理心、批判性思维、承担责任的能力。
Change How Do We Educate the Native Generation of the AI Era? Adults are not natives of the AI era. Our kids are. When I tried to introduce my two kids to AI, I found almost no ready-to-use materials on the market. What confuses me more: what should we teach them? What abilities will the world reward in 15 years?
Change 我们该如何教育AI时代的原住民们 成年人不是 AI 时代的原住民,我们的孩子是。当我想给两个孩子做 AI 启蒙时,我发现市面上几乎没有现成的教材。更让我困惑的是:我们该教他们什么?15 年后的世界会奖励什么能力?听完 The Ezra Klein Show 关于 AI 教育的播客后,我开始重新思考这个问题。也许答案不是“教他们什么 AI 技能”,而是“帮他们学会在不确定性中导航”。
Create The Problem With AI Agents Is Not Setup. It Is What People Expect After Setup OpenClaw did not become useful for me when I gave it bigger projects. It became useful when I started with small daily tasks, learned its limits, and treated it more like a junior hire than a magic tool.
Create OpenClaw 真正开始好用,是从身边的小事开始的 OpenClaw 真正开始变好用,不是从复杂任务开始,而是从身边的小事开始。它更像一个需要带教的新员工,而不是装完就能独当一面的业务骨干。
Change After 3 Years in Japan, I Finally Understand What an Era Dividend Really Is Three years into life in Japan, I no longer care whether the country is 'good' in some absolute sense. What matters more is why it fits this stage of life, and what that says about luck, timing, and choice.
Create The OpenClaw Hype Will Fade. The Real Replacement Will Not. The OpenClaw frenzy will probably cool off soon. For most ordinary users, the technology is still far from ready. The more serious issue is that companies and governments are already being pushed to recalculate around AI-driven replacement.
Create OpenClaw热潮退去之后,真正的替代才刚开始 OpenClaw 这一波热潮,大概率会很快退去。对绝大多数普通用户来说,它离真正可顺畅使用还很远。但真正值得警惕的,不是这波闹剧会不会退潮,而是企业与国家已经越来越难绕开 AI 带来的替代压力。
Create Featured When AI Becomes Infrastructure, What Should Children Really Learn? Parents want their children to learn AI early, but they also worry about overdependence. If AI becomes infrastructure, the real question is no longer whether children will rely on it, but what they still need to keep for themselves.
Create 当AI变成基础设施,孩子真正该学什么 家长们一边希望孩子早点接触AI,一边又担心孩子过度依赖AI。但当AI逐渐变成基础设施,真正值得教给孩子的,也许不是少依赖,而是判断力、价值观、提问能力与责任感。
Create Featured Your Mental Bandwidth Is More Valuable Than You Think The older I get, the more I feel that mental bandwidth matters more than time. What deserves it most is not noise, inner friction or weak ties, but yourself, your family and the AI systems that can compound over time.
Create The First Lesson of AI Agents Is Knowing When to Stop After a week of using OpenClaw at high intensity, I shut down my two-agent setup and started over. AI agents are amplifiers, not wishing wells. For most people, one good setup is enough to begin.
Create 高频使用OpenClaw一周后,我把AI员工团队解散了 高频使用 OpenClaw 一周后,我主动解散了原本的双 Agent 团队。AI agent 是放大器,不是许愿池。对绝大多数普通人来说,先学会用好一个实例,比上来就多线并行更重要。
Create What It Means to Manage a Team of Humans and AI Once AI moves from tool to employee, the real challenge is no longer the model. It is the system around it: rhythm, state, memory, boundaries, review and operations.
Create OpenClaw Made Me 100x Faster. So Why Am I Busier? After one week of high-frequency use, I found a real paradox: AI makes each task faster, but total workload still expands. The real challenge is managing boundaries and attention.
Create OpenClaw让我提效百倍,为什么我反而更忙了 高频使用交付式AI-OPENCLAW一周后,我发现了一个真实悖论:单任务效率在提升,但总工作量也在膨胀。真正需要管理的,不是工具,而是边界与注意力。
Change Winter Is Coming, and We’re Looking the Wrong Way While people fight over visible power, AI and robotics are quietly building new capability. The greater danger may be the threat most people still choose not to see.