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记录我如何把模糊的想法,变成可以使用、理解和继续迭代的东西。Notes on turning fuzzy ideas into things people can use, understand, and keep improving.

部分文章目前仅提供中文正文。Some article bodies are currently available only in Chinese.

黑绿色科技城市与数据中心背景前是黄仁勋肖像,标题写着世界需要开源模型,绿色光路连接芯片、工厂、汽车与机器人

最新发布Latest release个人思考Personal Notes

「世界需要开源模型」——顶级卖铲人的开源叙事,背后到底在卖什么?“The World Needs Open Models”: What Is the Top Shovel Seller Really Selling?

从黄仁勋倡议开放权重模型的公开叙事出发,分析算力、基础设施与生态利益如何共同塑造“世界需要开源模型”这句话。Starting from Jensen Huang’s case for open-weight models, this article examines how compute, infrastructure, and ecosystem incentives shape the narrative that the world needs open models.

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个人思考Personal Notes

提炼梁文锋的四小时谈话,将「克制」变成五个辅助决策的问题,附 SkillFive Decision Questions from Liang Wenfeng’s Four-Hour Conversation on Restraint

从梁文锋近四小时交流中的一连串“不做”提炼出五个决策问题,用一条主线判断新机会是否真正值得投入。Distill a long conversation and its repeated refusals into five practical questions for judging whether a new opportunity strengthens the one main line that matters.

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个人思考Personal Notes

当 AI Agent 能自己建模出图,建筑师还剩什么?When an AI Agent Can Model and Render by Itself, What Is Left for Architects?

最近,黄仁勋在台北GTC演讲上演示了一个AI Agent:在演示中,Agent自己打开了Rhino,自己建模,自己调材质,自己导出到Blender,自己渲染出图。全程不需要人动鼠标键盘。At a Taipei GTC talk, Jensen Huang demonstrated an AI agent that opened Rhino, modeled, adjusted materials, exported to Blender, and rendered the result—without anyone touching a mouse or keyboard.

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个人思考Personal Notes

请多说话,这世界会记住你Speak More. The World Will Remember You.

以前,人类都说同一种语言,于是想建一座通天塔「赞颂人类」上帝不舒服了,这不是挑战我吗,于是上帝打乱了所有人的语言。Once, humanity spoke one language and tried to build a tower reaching heaven to praise itself. God took it as a challenge and scrambled everyone’s language.

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个人思考Personal Notes

不增长就等死?Grow or Die?

增长是任何系统保持生命力最基本的方式,资本只是借走了这个词。 最根本的问题,只有这一个:你在追求什么样的增长?Growth is the most basic way any system stays alive; capital merely borrowed the word. The fundamental question is just this: what kind of growth are you pursuing?

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15岁少年赚百万,94%企业却在亏?AI 到底平权在哪里?A 15-Year-Old Made a Million—Why Are 94% of Companies Still Losing Money? Where Does AI Actually Level the Playing Field?

看着这些“天才少年”,AI就好像是遍地黄金的许愿池。但切回现实,麦肯锡12月的最新重磅报告却显示:94%的企业都在用AI,但其中只有6%真正赚到了钱。These “genius teenagers” make AI look like a wishing well of gold. But McKinsey’s latest December report says 94% of companies use AI, while only 6% actually make money from it.

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个人思考Personal Notes

一人成行?你只需要“学会表达”A One-Person Company? You Only Need to Learn How to Express Yourself

如果我告诉你,在 2025 年,“会说话”比“会写代码”更重要呢? 这不只是一句鸡汤,而是一场正在硅谷发生的、关于“表达权”的再分配。What if, in 2025, speaking well mattered more than writing code? This is not a motivational cliché, but a real redistribution of the power to express ideas happening in Silicon Valley.

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