The fact is, almost every object in our lives is affected by generative A.I. and machine learning — whether in its design, manufacturing, marketing or shipping. The question is no longer whether these new technologies touch something, but to what degree.
事實上，我們生活中的幾乎每件物品都受到了生成式人工智慧和機器學習的影響——無論是在設計、製造、行銷還是運輸過程中。問題不再是這些新技術是否觸及了某些事物，而是觸及的程度。
我決定用1到10的等級來評價我生活中的一切。如果某樣東西的存在幾乎完全歸功於人工智慧或機器學習，例如塞滿我收件匣的垃圾郵件，它就得10分。
我窗外的那棵樹怎麼樣？紐約市公園和娛樂部門使用配備視覺掃描儀的車輛進行人工智慧驅動的樹木普查，追蹤全市60萬多棵人行道樹木的健康狀況。所以我家附近的楓樹確實受到了人工智慧的影響，但只是間接的。它的得分僅為1分（滿分10分）。我可以在它的樹蔭下休息，只是略感內疚。
穿什麼？當然不是我的H&M斜紋棉布褲，它在我的評分中只得了4分。和許多大型服飾零售商一樣，H&M使用機器學習來優化運輸路線，其設計師也嘗試過人工智慧工具。
為了安全起見，我翻出了一套人工智慧時代之前的服裝：一件鮮豔的花襯衫和一條格紋褲，是我從祖父那裡繼承下來的，祖父在20世紀70年代曾是《王牌大賤諜》裡的人物。這可不是我平常穿的那種平淡無奇的服裝，這讓我很緊張。
「這實際上是我們結婚以來你穿過的最酷的衣服，」朱莉說。
我通常會在離開公寓前用手機查看天氣。但天氣應用程式會使用機器學習數據。所以我用了一個老式的應用程式——把手伸出窗外。大約75華氏度（約攝氏23度），不需要穿外套，不過我帶了傘，因為我不知道會不會下雨。
「你要出門的話，能幫忙倒垃圾嗎？」朱莉問。
可惜，我沒辦法。為了安全起見，我不得不避開紐約市的環衛系統，該系統使用人工智慧機器人進行垃圾分類，並依靠機器學習來優化垃圾車的路線。
我怎麼去餐廳？ Uber 和 Lyft 被禁止使用，因為它們使用人工智慧進行定價、需求和調度。打車呢？還是不行。汽車製造商使用人工智慧設計零件，超過一半的現代汽車都配備了機器學習功能，例如當你駛入其他車道時會發出警報的感測器。
我考慮過地鐵。大都會運輸署使用人工智慧軟體來監控逃票行為。月台上方的電子顯示器——那些告訴你下一班火車還有五分鐘的——也是在生成式人工智慧的幫助下編碼的。所以，地鐵在我的評分標準上得了2分。
還不錯。但更安全的選擇或許是騎自行車——而不是Citi Bike，它使用機器學習來預測需求並確定自行車的位置。於是，我從我們公寓大樓的地下室借了兒子的腳踏車。
唉，我騎車的時候很可能會遇到一些違規行為。紐約市交通局使用機器學習來分析交通和行人流量。
儘管如此，我還是騎到了市中心，在一個拐角處停下來查看一張折疊的蘭德·麥克納利城市地圖。沒錯，你仍然可以買到紙質地圖！這很好，因為我沒辦法查看Waze或谷歌地圖，它們使用機器學習精確定位並更新你的路線。
我展開地圖，頂著陣陣風，努力想弄清楚哪些大道有自行車道。我下意識地用拇指和食指放大了第六大道。好吧，差一點。我在最後一刻控制住了自己。不管怎樣，地圖上沒有這些資訊。我完全沒能把它折好，最後只好把那厚厚的紙折起來塞回包包裡。
終於，我到達了目的地，位於熨斗區的「牆洞」餐廳。
「謝謝你安排午餐，」我低聲對邀請我的作家喬納森‧古德曼說。
「為什麼低聲說話？」他問。
我解釋說，我試圖避免與人工智慧互動——並注意到附近有一位戴著AirPods的男士。新款蘋果AirPods Pro3配備了一項人工智慧功能，可以即時翻譯語言。這讓我想起了《噤界》裡的約翰‧卡拉辛斯基。
午餐時，我們談到了人工智慧在出版業的應用，包括其令人印象深刻的編輯能力。我放棄了低聲說話，只希望一切順利。
如何支付餐費？這真是個難題。信用卡公司會用人工智慧。偵測詐欺活動，我取現金的ATM機也是這樣。
「你們收黃金嗎？」我問經理。
「抱歉，不收，」他說。 “我不知道黃金的價格。”
真遺憾，因為我帶了一些。我媽媽是一位珠寶匠，她做項鍊剩下的三匹20克拉的小金馬送給了我
「如果每個人都用金馬圖案的圖案來買東西，世界會不會更美好？」我的午餐夥伴之一、作家布里·格羅夫說。
我覺得現金的人工智慧等級比信用卡低，所以我用20美元的鈔票付了錢。
「走之前我們自拍一張吧，」古德曼先生說。
「我覺得我不應該，」我說。
智慧型手機相機使用人工智慧來確定對焦位置以及如何調整光線。但我早有準備，包包裡裝著一台老式柯達折疊相機。我把它高高舉起。
「大家都別動20分鐘，」古德曼先生開玩笑說。
我拍了一張照片。或者說，我試著拍了一下。快門卡住了。
說實話，那頓飯讓我吃了好幾次違規。餐飲業有許多人工智慧。一些工業化農場用它來預測水和肥料的需求。我的午餐食材都是透過人工智慧優化的路線用卡車運輸的。 （我點了炒蛋，覺得單餐不需要太多人工智慧。）
還有在中央公園採集的野草、一台折疊相機和來自有機農場的蔬菜。
此外，我的午餐夥伴們還用配備機器學習功能的Resy應用程式預訂了我們的餐桌。此外，根據營運「牆中洞」（Hole in the Wall）餐廳的Parched Hospitality Group首席策略長Tom Rowse介紹，該公司使用人工智慧增強軟體來處理發票、薪資單和食品訂單。
為了彌補我在餐廳的過錯，我決定去中央公園尋找下一餐。我看了史蒂夫·布里爾（Steve Brill）的一段視頻，他是一位被稱為“野人”（Wildman）的採集者，自20世紀80年代以來一直在紐約市的公園裡採集食物。我拔了幾棵芭蕉草（不要把它和更美味的芭蕉混淆）。
晚餐時，我嚐了嚐。它們的味道就像它們來自的泥土。我用朋友在有機農場買的紅辣椒抹去了味道。
那天晚上，我倒在床上。幸運的是，我的床墊不是那種可以用人工智慧調節軟硬度和溫度的「智慧床墊」。
影片
來源：來源…
告別演算法
第二天醒來後不久，我決定該去看電影了。
人工智慧的一大缺點是它會迫使我們陷入文化孤島。串流媒體服務會引導我們去觀看我們熟悉的娛樂類型。你喜歡《諾丁山》嗎？這裡還有兩部茱莉亞羅勃茲的浪漫喜劇！
我用我的高中英語老師——一位電影迷——取代了Netflix的推薦演算法。在實驗之前，我給他發了封郵件，徵求他的建議。他回覆說：“我正在重新探索羅伯特·奧特曼——《布魯斯特·麥克勞德》……哇哦。”
我訂購了這部1970年的電影的DVD，現在用我們二十年來一直沒有動過的便攜式DVD播放器觀看。 《布魯斯特·麥克勞德》既怪誕又令人驚嘆，我很高興終於擺脫了Netflix的沉迷。
我的下一個任務是遛狗。離開公寓前，我戴上了防人臉辨識太陽眼鏡。
正如隱私倡導者伊麗莎白·丹尼爾·巴斯克斯上個月在《紐約時報》上所寫，曼哈頓的街道被數千個安保攝影機監控，其中一些由紐約警察局運營，另一些由私營企業運營。在出現疑似犯罪後，紐約警察局可以使用人工智慧人臉辨識軟體搜尋錄影。一台便攜式太陽能發電機為DVD播放器供電。防人臉辨識眼鏡讓作者免受科技窺探的威脅。
目前，自製人臉辨識系統也存在著不小的威脅。去年，兩名哈佛學生入侵了雷朋Meta眼鏡，植入了辨識路人的軟體。所以，光是在上西區漫步，我就冒著與人工智慧互動的風險。
因此，我戴上了Ghost太陽眼鏡。這副太陽眼鏡是從隱私保護公司Reflectacles買的。白色的鏡框和黃色的鏡片可以阻擋人臉辨識攝影機用來繪製人臉特徵的紅外光，從而規避攝影機的辨識。我享受著這種躲避雷達偵測的感覺。
「嘿，艾爾頓！」我的一個鄰居跟我打招呼。
回到家，我得打電話——這是一項棘手的任務，因為iPhone使用機器學習來抑制噪音和提高能源效率。
朱莉從地下室的儲物櫃裡拿出了一部座機電話，包括捲曲的電話線。這並非完美的解決方案——Verizon 使用人工智慧來預測光纖線路的損壞情況——但在我的人工智慧量表上，它的排名甚至低於智慧型手機。
我的計劃是嘗試一項艱鉅的任務：在 eBay 客服中心找到一位真人，與我討論丟失的訂單。我之前買了一輛 20 世紀 90 年代的復古自行車，但一直沒送來。所以第一天我就騎著我兒子的 2022 年自行車去了。
首先，我需要 eBay 總部的電話號碼。我撥打了 4-1-1。
「請提供城市和州，」一個機器人的聲音說。
「請問可以和真人通話嗎？」我回答。語音辨識程式在我的量表上得分 8——它們運行在經過數百萬語音單字訓練的人工智慧程式上。
圖片
試著透過座機聯絡 eBay 的真人客服。
瞬間
Image
After his gold trinkets were rejected, the author paid for his lunch in cash.
I replaced the Netflix recommendation algorithm with my high school English teacher, a film buff. Before my experiment, I had emailed him for a suggestion. He responded: “Currently re-exploring Robert Altman — ‘Brewster McCloud’ … whoa.”
I had ordered this 1970 movie on DVD, and now I watched it on a portable DVD player we had neglected for two decades. “Brewster McCloud” was bizarre and whoa-worthy, and I was glad to be out of my Netflix bubble.
My next errand was walking our dog. Before leaving the apartment, I put on my anti-facial recognition sunglasses.
As Elizabeth Daniel Vasquez, a privacy advocate, wrote in The New York Times last month, the streets of Manhattan are monitored by thousands of security cameras, some operated by the New York Police Department, others by private businesses. After a suspected crime, the N.Y.P.D. can search the footage using A.I.-powered facial recognition software.A portable solar generator powers a DVD player. Facial-recognition-defying glasses kept the author safe from prying tech.
There is also the small — for now — threat of homemade facial-recognition systems. Last year, two Harvard students hacked Ray-Ban Meta glasses to include software that identified passers-by. So just by strolling on the Upper West Side, I risked interacting with A.I.
Hence, my Ghost sunglasses. I had bought them from Reflectacles, a privacy-protection company. The white frames and yellow-tinted lenses defy facial recognition cameras by blocking the infrared light they use to map our features. I relished the feeling of slipping under the radar.
“Hey, Elton!” one of my neighbors greeted me.
Back home, I had to make a phone call — a tricky undertaking, since the iPhone uses machine learning for noise suppression and energy efficiency.
Julie retrieved a landline telephone, curly cord and all, from a storage locker in the basement. It wasn’t a perfect solution — Verizon uses A.I. to predict damage to its fiber lines — but it ranked lower on my A.I. scale than a smartphone.
My plan was to attempt a herculean feat: To find an actual human being at eBay customer support who would talk to me about a lost order. I had paid for a vintage 1990s bike, which failed to arrive. That’s why I had settled for riding my son’s 2022 bike on Day 1.
First, I needed the number for eBay headquarters. I called 4-1-1.
“City and state, please,” said a robotic voice.
“Can I talk to a human being please?” I replied. Voice-recognition programs rated an 8 on my scale — they run on A.I. programs trained on millions of spoken words.
Image
Trying to reach a human being at eBay via landline.
Moments later, a different voice said: “City and state, please.”
“Are you a human being?” I asked.
“Yes, I am.”
“Me, too!”
Silence. I requested the number for eBay. While the operator was looking it up, I asked, “By the way, what kind of people still call 4-1-1?” Silence. Then a robotic voice gave me eBay’s number.
Things went downhill from there. The eBay phone tree flat-out refused to connect me to a non-robot.
I spent the final hours of my experiment trying to draft this article. I couldn’t use my MacBook Pro, since it’s loaded with machine learning features, including a trackpad trained to ignore accidental brushes with my palm.
I got down to work on a typewriter I had bought days earlier. I loved the clackety-clack sound, but the ribbon was low on ink.
I switched to pencil and paper, despite my worry that the manufacturers of those simple writing tools were among the 51 percent of companies that use A.I. in hiring, according to a survey by Résumé Builders. Since my solar-power box had run out of juice, I wrote by candlelight. It was kind of soothing.
I checked the notes I had printed out before the start of my experiment. And here’s where I should make a confession: Some of my research came from ChatGPT. I’m part of a majority of journalists whose work has been changed by A.I. I gave it prompts such as “How does the Parks Department use A.I.?”, which led me to the tree census, for one thing.
So how am I feeling in these last few hours? A little unsettled by just how prevalent A.I. is. I’d like more transparency. It seems important to know when an image or email is A.I.-generated. And I’d like more control over the algorithms that influence my life.
I’m also less sure about how the world will look in five years, but more certain that A.I. will be increasingly involved. “We’re just at the beginning of the A.I. Era,” said Mr. Wilser, the “AI-Curious” host. On the spectrum of A.I.-is-glorified-spell-check to A.I.-is-bigger-than-fire, the project has moved me slightly in the bigger-than-fire direction.
If I were to write a sequel to this story in five years, I would have an even more difficult time. Or, as Jeff Crume, a scientist who makes popular A.I. explainer videos, put it: “You mean when ChatGPT writes a sequel to this article in five years?”
「黃檗」可以指：
植物：
一種芸香科黃檗屬的喬木，其樹皮是中藥材「黃柏」（俗稱黃檗），具有清熱解毒等功效，也稱作「黃柏」。
佛教宗派：
日本佛教禪宗的一個流派，由明朝僧人隱元隆琦東渡日本後創立，以京都宇治市的萬福寺為本山。
人名：
唐代一位重要的禪宗高僧「黃檗希運」的簡稱，他創立了黃檗山，並對禪宗發展有重大貢獻。
After his gold trinkets were rejected, the author paid for his lunch in cash.
I replaced the Netflix recommendation algorithm with my high school English teacher, a film buff. Before my experiment, I had emailed him for a suggestion. He responded: “Currently re-exploring Robert Altman — ‘Brewster McCloud’ … whoa.”
I had ordered this 1970 movie on DVD, and now I watched it on a portable DVD player we had neglected for two decades. “Brewster McCloud” was bizarre and whoa-worthy, and I was glad to be out of my Netflix bubble.
My next errand was walking our dog. Before leaving the apartment, I put on my anti-facial recognition sunglasses.
As Elizabeth Daniel Vasquez, a privacy advocate, wrote in The New York Times last month, the streets of Manhattan are monitored by thousands of security cameras, some operated by the New York Police Department, others by private businesses. After a suspected crime, the N.Y.P.D. can search the footage using A.I.-powered facial recognition software.A portable solar generator powers a DVD player. Facial-recognition-defying glasses kept the author safe from prying tech.
There is also the small — for now — threat of homemade facial-recognition systems. Last year, two Harvard students hacked Ray-Ban Meta glasses to include software that identified passers-by. So just by strolling on the Upper West Side, I risked interacting with A.I.
Hence, my Ghost sunglasses. I had bought them from Reflectacles, a privacy-protection company. The white frames and yellow-tinted lenses defy facial recognition cameras by blocking the infrared light they use to map our features. I relished the feeling of slipping under the radar.
“Hey, Elton!” one of my neighbors greeted me.
Back home, I had to make a phone call — a tricky undertaking, since the iPhone uses machine learning for noise suppression and energy efficiency.
Julie retrieved a landline telephone, curly cord and all, from a storage locker in the basement. It wasn’t a perfect solution — Verizon uses A.I. to predict damage to its fiber lines — but it ranked lower on my A.I. scale than a smartphone.
My plan was to attempt a herculean feat: To find an actual human being at eBay customer support who would talk to me about a lost order. I had paid for a vintage 1990s bike, which failed to arrive. That’s why I had settled for riding my son’s 2022 bike on Day 1.
First, I needed the number for eBay headquarters. I called 4-1-1.
“City and state, please,” said a robotic voice.
“Can I talk to a human being please?” I replied. Voice-recognition programs rated an 8 on my scale — they run on A.I. programs trained on millions of spoken words.
Image
Trying to reach a human being at eBay via landline.
Moments later, a different voice said: “City and state, please.”
“Are you a human being?” I asked.
“Yes, I am.”
“Me, too!”
Silence. I requested the number for eBay. While the operator was looking it up, I asked, “By the way, what kind of people still call 4-1-1?” Silence. Then a robotic voice gave me eBay’s number.
Things went downhill from there. The eBay phone tree flat-out refused to connect me to a non-robot.
I spent the final hours of my experiment trying to draft this article. I couldn’t use my MacBook Pro, since it’s loaded with machine learning features, including a trackpad trained to ignore accidental brushes with my palm.
I got down to work on a typewriter I had bought days earlier. I loved the clackety-clack sound, but the ribbon was low on ink.
I switched to pencil and paper, despite my worry that the manufacturers of those simple writing tools were among the 51 percent of companies that use A.I. in hiring, according to a survey by Résumé Builders. Since my solar-power box had run out of juice, I wrote by candlelight. It was kind of soothing.
I checked the notes I had printed out before the start of my experiment. And here’s where I should make a confession: Some of my research came from ChatGPT. I’m part of a majority of journalists whose work has been changed by A.I. I gave it prompts such as “How does the Parks Department use A.I.?”, which led me to the tree census, for one thing.
So how am I feeling in these last few hours? A little unsettled by just how prevalent A.I. is. I’d like more transparency. It seems important to know when an image or email is A.I.-generated. And I’d like more control over the algorithms that influence my life.
I’m also less sure about how the world will look in five years, but more certain that A.I. will be increasingly involved. “We’re just at the beginning of the A.I. Era,” said Mr. Wilser, the “AI-Curious” host. On the spectrum of A.I.-is-glorified-spell-check to A.I.-is-bigger-than-fire, the project has moved me slightly in the bigger-than-fire direction.
If I were to write a sequel to this story in five years, I would have an even more difficult time. Or, as Jeff Crume, a scientist who makes popular A.I. explainer videos, put it: “You mean when ChatGPT writes a sequel to this article in five years?”
「黃檗」可以指：
植物：
一種芸香科黃檗屬的喬木，其樹皮是中藥材「黃柏」（俗稱黃檗），具有清熱解毒等功效，也稱作「黃柏」。
佛教宗派：
日本佛教禪宗的一個流派，由明朝僧人隱元隆琦東渡日本後創立，以京都宇治市的萬福寺為本山。
黃檗山萬福寺「日本最大的中國式寺院」
京都黃檗山萬福寺是黃檗宗的大本山，在全國擁有約400個末寺。黃檗宗是日本三大禪宗（臨濟宗·曹洞宗·黃檗宗）之一，設有專門道場。黃檗宗的儀式作法沿襲了明代的佛教儀禮。黃檗山的建築物是採取中國明朝樣式的伽藍配置。在日本，像這樣將創建時的模樣保留至今的寺院，萬福寺是僅有的。寺院內的主要建築物有23棟，回廊、匾額、聯等被指定為國家的重要文化財產。
關於萬福寺與隱元禪師
隱元隆琦像 喜多原規筆【重要珍貴文化遺產】
關於萬福寺的開創
隱元隆琦是萬福寺的開創者。隱元和尚是中國明代末期臨濟宗的代表費隱通容和尚的法嗣，是臨濟正傳32世的高僧。中國福建省福州府福清縣黃檗山萬福寺的住持。受日本方的多次邀請，於日本承應3年（1654）,63歲時率弟子20名左右來到日本。隱元和尚編輯了被稱為受戒入門書的《弘戒法儀》，併發行了有關黃檗宗內的儀禮和規則的《黃檗清規》一書。叢林規則由此一變，推動了停滯的日本禪宗的興盛，可稱之為日本禪宗的中興之祖。德行兼備的隱元和尚在物質和精神兩方面對日本文化的發展做出巨大貢獻，也由此被皇室下賜國師稱號或大師稱號。
關於國師稱號·大師稱號
寬文13年（1673） 後水尾法皇 大光普照國師。享保7年（1722） 靈元上皇 佛慈廣鑑國師。明和9年（1772） 後桃園天皇 徑山首出國師。文政5年（1822） 仁孝天皇 覺性圓明國師。大正6年（1917） 大正天皇 真空大師。昭和47年（1972） 昭和天皇 華光大師。皇室對外國僧人下賜國師稱號是非常罕見的。由此可見隱元和尚的德行備受歷代天皇的推崇。
關於隱元和尚帶來的文化恩惠
隱元和尚帶到日本來的文化廣泛涉及美術、醫術、建築、音樂、史學、文學、印刷、煎茶、普茶料理等各各方面。不僅是宗教界，可以說對當時整個江戶時期的文化帶來了全面的影響。除此之外，隱元和尚還帶來了隱元豆、西瓜、蓮根、孟宗竹，木魚等。甚至諸如明朝體、原稿用紙等我們平時看到的用到的東西，都可追溯到隱元和尚那裏。
人名：
唐代一位重要的禪宗高僧「黃檗希運」的簡稱，他創立了黃檗山，並對禪宗發展有重大貢獻。
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