[討論] AI的陷阱。認知債(Cognitive Debt)
寫軟體的，之前有所謂的技術債(Technical Debt)。AI時代，現在又多了個認知債(Cognitive Debt)
認知債應該是去年mit的研究人員的創詞
https://www.brainonllm.com/
隨便一個中文摘要
https://www.managertoday.com.tw/articles/view/70533
雖然研究的課題是寫作，但其實是關於思考(Thinking)
然後今年一月29日Anthropic贊助的研究。
https://www.anthropic.com/research/AI-assistance-coding-skills
https://arxiv.org/abs/2601.20245
使用ai輔助寫程式的，比不用ai的人，程式碼的理解能力顯著下降。尤其除錯能力(debugging)下降最多。
然後Margaret-Anne Storey分享她的經驗
https://margaretstorey.com/blog/2026/02/09/cognitive-debt/
"Student teams were building software products over the semester, moving quickly to ship features and meet milestones. But by weeks 7 or 8, one team hit a wall. They could no longer make even simple changes without breaking something unexpected.When I met with them, the team initially blamed technical debt: messy code, poor architecture, hurried implementations. But as we dug deeper, the real problem emerged: no one on the team could explain why certain design decisions had been made or how different
parts of the system were supposed to work together"
是認知債不是技術債的問題，修好一個錯誤但會創造其他錯誤。整個案子就卡住了。
Simon Willison，如果他說他是ai coding的鼓吹者第二名，那沒人敢說第一。也回應了
https://simonwillison.net/2026/Feb/15/cognitive-debt/
"I've experienced this myself on some of my more ambitious vibe-code-adjacent projects. I've been experimenting with prompting entire new features into existence without reviewing their implementations and, while it works surprisingly well, I've found myself getting lost in my own projects.
I no longer have a firm mental model of what they can do and how they work, which means each additional feature becomes harder to reason about, eventually leading me to lose the ability to make confident decisions about where to go next."
早說 為什麼不早說
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其實我也講很久了，ai是有幫助的，但用ai寫程式大概是最糟糕的方式。前面就算進展快，但後面反而會更慢。
最近win11 updates一堆奇怪嚴重的bugs，我都懷疑是微軟all in AI造成的結果。
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