當 AI 用你說過的話
佈置一間房When AI furnishes a room
with everything you've told it
從「填滿空房間」迷因出發,看我們怎麼在演算法鏡子裡找自己:一句提示詞、一張沒有臉的自畫像,背後是人和 AI 一來一往的決定。Starting from the "fill this room" meme: how we look for ourselves in an algorithmic mirror, and how a back-and-forth of human and AI decisions sits behind one prompt and one faceless self-portrait.
這次的時間軸,不跟著時間往前,跟著概念往前This timeline moves forward by ideas, not by dates
畫面下方的軌道不是年份,而是五個面向。每往前一格,就多一個看懂這間房的觀念。這樣安排,是希望大家跟著影片一步一步想:AI 為什麼會畫出這間房?我們看了之後又做了什麼決定?
The track along the bottom isn't years but five facets. Each step adds one more idea for reading the room, so viewers think along: why did AI draw this room, and what did we decide to do after seeing it?
下方的五條軌道:人和 AI 的決定,一格一格對照Five lanes: human and AI decisions, side by side
章節(點一下就從那裡播)Chapters (click to play from there)
四個停格點:先想,再往下看Four pauses: think first, then watch on
打開「上課模式」,影片會在下面四個地方自動停下來。每一題都沒有標準答案,請用自己的 AI 使用經驗來回答。
Turn on class mode and the film stops at these four points. None has a single right answer; answer from your own experience with AI.
你會挑哪一個?
它會先替 AI 戴上什麼顏色的眼鏡?If you could pick just one container for yourself,
which would it be?
What tint would it put on the AI's glasses?
缺席的是哪一塊自己?In your AI room,
which part of you is missing?
你最容易忽略的是哪一道?Of these three gaps,
which one do you overlook most?
沒有畫出臉,
真的就沒有洩漏個資嗎?Before the answer:
if it doesn't draw your face,
does that really mean nothing leaked?
延伸討論:看完圖之後的那一刻Going further: the moment after you see the picture
- 按下生成以前,你原本以為 AI「記得你哪些事」?哪些事你以為它早就忘了,或根本不會注意到?Before you hit generate, what did you think AI remembered about you? What did you assume it had forgotten or never noticed?
- 圖片跑出來的那一秒,第一個讓你覺得「這真的很像我」的物品是什麼?為什麼是它?The second the picture appeared, which object first made you think "that's so me"? Why that one?
- 圖裡有沒有哪個細節其實跟事實不符,但你看了卻覺得「好像也有點道理」?Was there a detail that wasn't true, yet felt like it "kind of fits"?
- 看完之後,你有沒有忍不住修改提示詞、糾正 AI、刪掉記憶,或反過來多告訴它一些你的事?Afterwards, did you edit the prompt, correct the AI, delete a memory, or tell it even more about yourself?
- 同一段房間描述,如果不是 AI 畫的,而是認識你三年的好朋友寫給你的,你相信它的程度會有什麼不同?If the same room description came from a friend of three years instead of AI, how differently would you trust it?
兩組「隱私優先版」提示詞,和貼文前的四問Two privacy-first prompts, and four questions before posting
第一組:深度反思自賞版
第二組:社群公開打卡安全版
Template 1: deep reflection, just for you
Template 2: social-safe, for posting
四問同意判準Four consent questions
- 這是只屬於我一個人的資料嗎?有沒有牽涉到伴侶、家人、同事、學生或客戶?Is this data only about me? Does it involve a partner, family, colleagues, students or clients?
- 為了讓這張圖好玩,真的需要放進這麼具體的真實名稱嗎?For fun, do I really need real names this specific?
- 畫面裡被波及到的其他人,會合理預期這件事被畫出來貼在網路上嗎?Would the others in the picture reasonably expect to be drawn and posted?
- 如果一個不認識我的陌生人,把圖裡這五個小彩蛋拼湊在一起,能不能反推出我是誰、住哪裡、在哪上班?Could a stranger piece five easter eggs together to work out who I am, where I live and where I work?
| 燈號Light | 包含的資訊What it covers | 處理做法What to do |
|---|---|---|
| 🟢 綠燈Green | 廣泛的興趣類別、非敏感的生活偏好、一般性的工作型態、虛構的幽默象徵物Broad interests, non-sensitive preferences, general type of work, fictional funny symbols | 可直接轉化為具體物件,私下或公開風險都極低Fine as concrete objects; very low risk |
| 🟡 黃燈Yellow | 任職公司或學校、居住城市、親密關係狀態、固定作息路線、罕見的專案主題、一般健康習慣Company or school, home city, relationship status, routines, rare project topics, general health habits | 私下版可斟酌;公開版必須「往上一層抽象化」Private: your call. Public: abstract one level up |
| 🔴 紅燈Red | 精確住址或窗外街景、證件、電話與帳號、財務、密碼、未公開的病歷與用藥、可識別第三人的私密資訊Exact address or street view, IDs, phone or accounts, finances, passwords, undisclosed medical info, identifiable third-party secrets | 不輸入、不生成、不公開;記憶庫已有就立刻手動刪除Never input, generate or post; delete existing memories now |
60 張 ChatGPT 房間,加上 13 張 Gemini 示意圖60 ChatGPT rooms, plus 13 Gemini illustrations
房間圖是請 ChatGPT 依照 30 種玩法、用它對我的了解畫出來的,每種兩張。整理時發現,有幾張圖的內容跟檔名對不上:13A 和 14A 是同一張圖,15 號之後有好幾組像是往後錯了一格。片中的圖說依照圖面實際畫的內容來寫,檔名另外標在出處。這件事剛好也是「模板化」的一個實例。
ChatGPT drew the rooms from what it knows about me, using 30 prompt types, two images each. Some files don't match their names: 13A and 14A are the same picture, and from 15 on several sets look shifted by one. Captions in the film follow what each image actually shows; file numbers are noted in the credits. It's a small, real example of templating.
同樣的物件一再出現:60 張圖裡清楚可見的物件The same props again and again: objects clearly visible in the 60 images
以 Gemini 視覺辨識逐張標記,只算清楚可見的物件;是本片素材的小統計,不是研究數據。Tagged image by image with Gemini vision, counting only clearly visible objects; a small count of our own material, not research data.









































































影片照原文念,查證時發現的差異標在這裡The film follows the source text; what we found when checking is noted here
- AI Op Zak(2026/10/17)報告確認 9 月 27 日由 Kris Kashtanova 起頭;報告引用的原句是 “Fill this room with everything you know about me.”,旁白已改用這個說法。AI Op Zak (Oct 17, 2026) confirms Kris Kashtanova started it on Sept 27; it quotes the prompt as "Fill this room with everything you know about me." The narration uses that wording.
- “Except deeply personal info” 補充版,查證時未在公開來源找到原文,片中以註記標示。We could not find the "Except deeply personal info" variant in public sources; the film flags it.
- 報告寫的第二波是「10 月 12–13 日前後」,另有 10 月 11 日的例子。The report puts the second wave "around 12–13 October", with one example from Oct 11.
- Dcard 原貼文留言區的原句是「根本葬禮」,旁白已改成原句;片中禪意書房的圖是 Gemini 重新生成的示意圖,不是原貼文圖片。The Dcard comment actually read "Basically a funeral"; the narration uses it. The zen-study image in the film is a Gemini re-creation, not the original.
- Niu 等人論文刊於 Cyberpsychology 20(1),2026 年 1 月出版(原文寫 3 月,旁白已更正);片中路徑係數取自論文。Niu et al. appeared in Cyberpsychology 20(1), January 2026 (the source said March; corrected). Path coefficients on screen come from the paper.
- OpenAI 的暫時聊天 FAQ 另說明:基於安全理由,可能仍保留副本最多 30 天。OpenAI's Temporary Chat FAQ adds that a copy may be kept for up to 30 days for safety.
- Reddit 30 種提示詞長文與其中的留言,本片無法直接讀取,依原文轉述。We could not open the Reddit 30-prompt post and its comments directly; they are quoted as given in the source text.
參考資料References
- AI Op Zak. (2026, October 17). Empty room trend: what ChatGPT knows about you.
- Bem, D. J. (1972). Self-Perception Theory. Advances in Experimental Social Psychology, 6, 1–62.
- Carroll, M., Dragan, A., Russell, S., & Hadfield-Menell, D. (2022). Estimating and Penalizing Induced Preference Shifts in Recommender Systems. ICML, PMLR 162.
- Chaney, A. J. B., Stewart, B. M., & Engelhardt, B. E. (2018). How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility. RecSys '18.
- Ellison, N., Heino, R., & Gibbs, J. (2006). Managing Impressions Online. JCMC, 11(2), 415–441.
- Gonzales, A. L., & Hancock, J. T. (2008). Identity Shift in Computer-Mediated Environments. Media Psychology, 11(2), 167–185.
- Gonzales, A. L., & Hancock, J. T. (2011). Mirror, Mirror on my Facebook Wall. Cyberpsychology, Behavior, and Social Networking, 14(1-2), 79–83.
- Hancock, J. T., Naaman, M., & Levy, K. (2020). AI-Mediated Communication. JCMC, 25(1), 89–100.
- Lee, A. Y., Mieczkowski, H., Ellison, N. B., & Hancock, J. T. (2022). The Algorithmic Crystal. Proceedings of the ACM on HCI, 6(CSCW2).
- Lee, Y., Kim, Y., Kwon, Y., Lee, K., & Kim, D. (2026). Is This the Real Me? DIS '26.
- Niu, J., Mazhar, B., Ren, Y., & Ul Haq, I. (2026). Decoding user disclosure intentions in generative AI. Cyberpsychology, 20(1).
- OpenAI Help Center. Memory in ChatGPT; Temporary Chat FAQ; Data controls.
- 中央研究院〈生成式 AI 個資保護的邊界與難題〉;全國法規資料庫《個人資料保護法》。
- Reddit r/ChatGPT (2026, August). I started asking ChatGPT to create images using everything it already knows about me;Dcard ChatGPT 板〈來填滿房間〉。
同一個網站上,也在談 AI 怎麼看我們More on how AI sees us
- 文本:吳相勲的研究長文〈當 AI 用你說過的話佈置一間房〉(部落格有全文);影片未收錄原文的研究設計與研究限制兩段。Text: Sonic Wu's long-form essay (full text on the blog). The film omits the essay's research-design and limitations sections.
- 旁白:Gemini TTS,吳相勲本人複製聲線;中文旁白照原文逐句念,英文旁白逐句翻譯並經 Gemini 對照審稿。Narration: Gemini TTS in Sonic Wu's cloned voice; the Chinese follows the essay line by line; the English is a line-by-line translation reviewed against the Chinese with Gemini.
- 配樂:Gemini Lyria,依五個面向分段。Music: Gemini Lyria, one mood per facet.
- 房間圖:ChatGPT 依 30 種玩法生成(每種 2 張,共 60 張);示意圖:Gemini 生成。Rooms: ChatGPT, 30 prompt types × 2 = 60 images. Illustrations: Gemini.
- 畫面設計與程式:Claude,依「麥克雞塊五線時間軸」的動畫規範與「十月蒙太奇」的轉場特效製作。Design and code: Claude, following the McNugget five-lane film and the October montage's transitions.
- 頭像:吳相勲動畫頭像。Avatar: Sonic Wu's illustrated avatar.