長文 / 旗艦報告 / 方法論框架。我們用學科敍事而不是營銷話術。 Essays, flagship reports, and methodology frameworks. Disciplinary, not promotional.
企業 AI 死亡率高，問題不在模型。我們押注未來五年職業方向。Enterprise AI mortality is high. Not a model problem. Our five-year bet.
閲讀全文 →Read essay →當執行成本被 Agent 降低，價值上移到「定義什麼該做」。When execution gets cheaper, value moves to defining what should be done.
閲讀全文 →Read essay →AI 問診跟人類問診在本體論上根本不是同一件事。AI consultation and human consultation aren't the same thing ontologically.
閲讀全文 →Read essay →高度結構化的專業知識反而最先被 AI 復刻。Highly structured expertise gets replicated first.
閲讀全文 →Read essay →AI 時代分配制度重構。你今天站的位置決定了十年後的支票。AI-era redistribution. Where you stand today decides who gets the check.
閲讀全文 →Read essay →在你家樓下診所的那台伺服器上。It's on the server in your neighborhood clinic.
閲讀全文 →Read essay →機會在傳統行業的價值鏈上，但在懂 AI 又懂行業的人手裏。The opportunity is in legacy value chains, owned by those who understand both.
閲讀全文 →Read essay →工具焦慮是認知的逃避。Tool anxiety is cognitive avoidance.
閲讀全文 →Read essay →技術門檻降低，認知門檻凸顯。Skill 工程師的 2-3 年時間窗口。Technical barriers fall. Cognitive barriers rise. Skill engineers have a 2-3 year window.
閲讀全文 →Read essay →問題定義能力在 AI 時代比寫代碼更稀缺。Problem definition is scarcer than coding in the AI era.
閲讀全文 →Read essay →差距不在工具，在元認知。AI 是放大器。The gap isn't the tool. It's metacognition. AI is an amplifier.
閲讀全文 →Read essay →醫學界 CFIR 框架翻譯到 AI 實施場景。原版五維 + AI 三參數。Medical CFIR translated to AI implementation. Five original dimensions + three AI-specific parameters.
瞭解框架 →Learn the framework →上線後的持續調優：Reach / Effectiveness / Adoption / Implementation / Maintenance。Post-launch evolution: Reach / Effectiveness / Adoption / Implementation / Maintenance.
瞭解框架 →Learn the framework →