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AI 研究有個核心問題:怎麼讓一個系統在沒人盯著時,還能自主學習、修正錯誤、累積能力?
把「系統」換成「孩子」,你會發現問題忽然變得很熟悉。差別是,AI 可以重啟,可以清掉記憶,可以重新部署。孩子不行。
你隨口說出的「你怎麼這麼笨」,可能不只是一句氣話,而是會被寫進他很久以後仍然拿來理解自己的先驗。你一次又一次只看分數、不看過程,也是在訓練他把人生變成一場刷分遊戲。
我們常以為教育的問題在於孩子不夠努力、不夠自律、不夠主動。但換一個角度看,...
這個時代最好變現的東西,是焦慮。
你打開社群,馬上就會看到一整排提醒:別人這一波股票賺了多少錢,別人 AI 已經用到多厲害,別人的小孩英文多好、數學多強、履歷做得多漂亮,連假日都安排得像一份精密的人生企劃書。
看久了以後,你很難不懷疑自己。我是不是太慢了?我是不是錯過了什麼?我是不是還不夠好?
這就是焦慮最容易變現的地方。它只要拿一小段真實的成功案例放在你面前,剩下的心理折磨你自己會自動補完。
這個世界上,確實有人股票賺很多;AI 真的有人用得很好;小孩教育真的有人規...
「在一個變動劇烈的時代,當一個中庸之道的人,究竟是優勢還是劣勢?」
前幾週聽到曼尼和 Angela 在 Podcast 最後聊到這個問題,我覺得實在太有趣了,忍不住多想了一下。
很多人喜歡說自己中庸或是務實。可是不管「務實」或是「中庸」這兩個詞,都很常被誤用成高級版的保護傘。只要我說自己務實,我就不必太早表態;只要我說自己中庸,我就可以不承擔判斷錯誤的尷尬,在所有陣營旁邊維持一種優雅的觀察姿勢,等到贏家出現,再不著痕跡地加入他的陣營。
我自己認為,這個問題的關鍵不在「中...
在上篇與中篇裡,我們一路把信任從「可不可信」拆成幾個更具體的問題:部位要放多大、閾值要怎麼調、判斷工具本身會不會失準。
但這裡還有一個沒有處理的問題:就算你現在同意這些原則,真正做決策的那一刻,你未必會照著做。高代價的信任決策,很少發生在最冷靜的時候。它通常發生在中篇結尾說的那些狀態裡——壓力、誘惑、連勝自信、沉沒成本,一起發生的時候。
所以這篇不再談更多判斷框架。框架再漂亮,到了現場用不出來,也只是紙上談兵。這篇想談的是另一件比較不討喜的事:
你能不能在自己還清醒的時...
上篇談到,信任不是一個非黑即白的判斷題。一旦進入部位決策,事情就變得複雜多了:你要信到什麼程度?你要讓這個人、這家公司、這段關係,影響你多少資源?
這些要估計的東西,幾乎都沒有明確標價,也不會寫在紙上。更令人感到麻煩的是:就算我可以把這些概念量化,我又怎麼知道自己腦中那套判斷工具,本身是不是早就失準了?
我那筆失敗的教育股投資,最讓我不甘心的地方不是我完全沒做功課。現實狀況剛好相反,我的研究做了、訪談做了、財務數字看了、管理層也接觸了。每一個動作在當下都說得通,甚至如果你...
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The writers behind this newsletter.
* Clairvoyance Capital (2007-2012) * JP Morgan Asset Management (2013-2024) * Associate Professor of Practice, Chang Gung University (2025-current) * Consultant of several startups
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