國泰航班踢椅背風波：飛機航班廉價化，香港部落社會化

 

來源：聯合日報

日前有大陸女子在飛往倫敦的長程航班放下椅背，被後面的一對港人夫婦踢椅背及罵「大陸妹」，國泰空中服務員調停兩次，之後將港人夫婦列入永不服務的黑名單。

這些是香港本土運動以來常見的族群衝突，但今次是港人夫婦不對。俗語有話「幫理不幫親」，更何況香港市民來自五湖四海，九七之後更是混入中共國民，故此難以言親。我的看法有三：

一、飛機廉價化之後，搭巴士那種粗野舉動帶了上飛機，特別是大陸人，香港人也不例外。以前在公共場合，特別是飛機那種高度注重安全的場合，必須舉止有度。搭巴士可以吵鬧打架，巴士可以隨時停下或開到衙門，但飛機是不能的。好可惜，中港兩地都沒有這樣勸誡乘客，我當然也不會公開這樣講，就等中港局面爛下去吧。等天收。

二、頗多香港網民幫香港夫婦，這是不對的。這種舉動好似台灣鄉民，會令香港這個大城市大都會變成部落社會，親疏有別。更何況，好似我剛才說的，香港人來自五湖四海，陌生人難以言親。

三、政府對於這種族群衝突，並無用公共理性（講道理）的方式勸解，看來政府也是想引發族群衝突來瓦解中港人民合力反專制極權、反財團剝削的計劃。這在台灣甚至在美國都是這樣。

飛機椅背可以放下的設計，是給經濟艙客位狡猾的奢侈感，騙人的。我自己的個人做法，是從不在飛機上放下椅背休息。因為令人腰骨痛，而且起來的時候容易閃到腰。

Source: 陳雲

https://www.patreon.com/posts/guo-tai-hang-ban-112612961

10 Iterative ChatGPT Prompts I Use Every Day

Have you ever asked ChatGPT a question and thought, “Uh…no. Try again!”? If so, this article is for you.

The best part about ChatGPT is that you can chat with it. If you don’t like its initial response, you can correct, edit, or ask for clarification.

Maybe you asked ChatGPT to draft an email, but it’s too wordy. No problem! Tell it to try again.

This is iterative prompting: refining prompts to improve an AI’s accuracy and relevance.

Iterative prompting unlocks AI’s full potential and gives you the response that best suits your needs.

Here are iterative ChatGPT prompts I use to pinpoint the answers I need. It takes some back-and-forth, but it’s worth it!

Prompts to edit ChatGPT’s responses

1. “More examples”

ChatGPT usually generates lists. If you want more, type “more examples” or “more.”

First iteration: “What should I include in my capsule work wardrobe? I’m a woman who works in a formal business office. Be as specific as possible.”

Second iteration: “More examples”

2. “More concise”

ChatGPT can be wordy, which is frustrating when drafting emails.

Below, I asked ChatGPT to draft a work email, but its response was too long.  When I asked ChatGPT to make its response more concise, it sounded more like what I wanted.

First iteration: “Draft an email to Kristen and Lindsey, telling them that I will invite them to a meeting to test the new Zoom AI capability.”

Second iteration: “More concise”

3. “Elaborate on #3” / “Give specific examples of how I can apply #3 to (work life/daily life/XYZ scenario)”

Use this prompt if you need more details about something on ChatGPT’s list.

I asked ChatGPT how to prepare for a data analyst interview. I wanted more details about #1, “Research the Company,” so I asked for more information.

First iteration: “What steps should I take to prepare for my data analyst job interview?”

Second iteration: “Elaborate on step 1: research the company.”

4. “Tone more formal”/ “Tone less formal”

When you use ChatGPT for writing, it can sound too formal or too informal. Use this prompt to get the writing closer to your desired tone.

First iteration: “Diplomatic way to reject an invitation to a meeting because I don’t have anything to contribute”

Second iteration: “More informal”

5. “That doesn’t sound right. Try again.” / “You gave an incorrect example of XYZ.”

ChatGPT sometimes gives incorrect information. If that happens, let it know and ask for a corrected answer.

I asked ChatGPT about the difference between trimmed and regular mean, but it gave a wrong example. When I pointed it out, ChatGPT corrected the answer.

First iteration: “What is the difference between a trimmed and regular mean?”

The error is in the purple box. ChatGPT removed 92 when calculating the trimmed mean when it should have removed 95 (the largest number)

Second iteration: “In your example for trimmed mean, you gave an incorrect example of how to calculate it.”

ChatGPT provides a corrected example (see purple box)

6. “When I tried your solution above, I got this error: [INSERT ERROR]”

This is useful when ChatGPT suggests a technical solution (like in Excel or Python) that doesn’t work.

If so, copy and paste the error message in ChatGPT. This prompts ChatGPT to give you an updated solution that works better.

Prompt: “Can you tell me why this formula gets the error message #SPILL in Excel? [insert formula]”

7. “Can you give a simpler solution?”

This is helpful if you’re working with ChatGPT on a technical issue and it gives you a complicated solution — e.g. a convoluted nested Excel function, when you know there’s an easier way to do it.

8. “Make the response less than 4 sentences (or some other constraint)”

Add constraints to ChatGPT's response, like limiting the number of sentences or words. For example: “Make the summary 200 words or less”

First iteration: “Draft an email to my coworker explaining that I don’t have the capacity to take on a new project.”

Second iteration: “Make the response less than 4 sentences.”

9. “Turn this answer into a blog post/Twitter post/memo/etc.”

Specify the format of the response. Turn ChatGPT’s answer into a blog post, article, Twitter post, memo, email, or whatever else you need.

First iteration: “What are some good stretches I can do at my desk at work? Provide a list of specific examples.”

Second iteration: “Turn this into a Twitter post.”

10. “Simplify this explanation.”/“Explain this like I’m 5 years old”

Did ChatGPT give you a complicated answer? If so, ask it to simplify or summarize what it said, according to your knowledge level.

First iteration: “Explain how metabolism works in women.”

ChatGPT‘s response was too long and detailed.

Second iteration: “Simplify this explanation.”

Final Thoughts

Don’t settle for ChatGPT’s first response. Keep refining and questioning until it gives you what you need.

The best part about ChatGPT? It won’t get annoyed if you ask endless questions — unlike your coworkers!  So, ask away!

Further reading:

Google Cloud | Prompt Iteration Strategies

Source: Margaret Efron

https://medium.com/learning-data/10-iterative-chatgpt-prompts-i-use-everyday-a4a5dfe4d06d

內耗家庭都會有這四種特徵（膽抄）

家庭內耗的四個特點︰

第一、控制欲極強

一切都要按照他的心意來，否則就是會指責嘮叨、擺臭臉，並且喜歡道德綁架其他家庭成員。

第二、情緒化嚴重

不會冷靜溝通，總是用喊叫的方式來解決問題，從不覺得自己有問題，認為一切問題都是別人的問題。

第三、愛翻舊賬

遇到矛盾的，就把陳年舊事拿出來跟你說，口頭上就是「哎呀，當初你要是聽我的，怎麼可能會這樣」。

第四、雙面人

在外面是脾氣溫和的好人，但是在家裡面，專橫跋扈，對家人苛責，肆無忌憚的消耗家人對他的寬容。

如果遇到這樣的內耗王，我們需要有獨立的思想，生活上儘量保持距離感，別讓他吞噬你的能量。

Source: 莊雅惠

https://www.instagram.com/reel/C_9tb7cSI6P/?igsh=MzByb3J6dDcybzlo

香港輸出大陸的建築風格，在颱風期間慘不忍睹

 

圖、超強颱風摩羯從南面掠過香港，香港只有八號風球的風力，但佐敦白加士街單幢式住宅「珀．軒」，中層某單位的一塊玻璃窗疑被強風吹脫，擱在單位露台。圖片來源

見到超強颱風摩羯吹襲海南島的損害情況，不禁想到香港崇尚大玻璃窗的惡劣建築作風，去到大陸，令颱風的損害更為嚴重！香港除了地產金融化的致富術傳了去大陸的地方政府和地產財閥之外，浮誇的建築風格也害了大量。

早在上世紀八十年代，香港已有建築師批評落地玻璃窗這種惡劣建築作風。香港適合的是砌牆，窗戶較細，而且窗口縮入一格，躲避飛來的樹枝碎石。這不但避狂風暴雨，而且令冷氣和暖氣更加有效率，窗台滲水的問題也比較少。

以前新界鄉村大宅的窗，也是躲藏凹陷的，這一來有冬暖夏涼的隔熱效果，此外是風水原理的藏風聚水的藏風。玻璃窗的玻璃更有雕花做裝飾，一般很少躲在屋裡看風景的，要打開窗來看，或者走上山崗或走出海邊，那是舊時的生活景象了。

香港崇尚大玻璃窗甚至所謂落地玻璃，是海景樓的增值，此外是面積細小，故此借窗口外景做補償，落地玻璃、玻璃幕牆這些建築的費用昂貴，更可以提升樓價。至於大陸，屋的面積大，也多數沒有海景，要大玻璃窗，是自討苦吃。

Source: 陳雲

https://www.patreon.com/posts/xiang-gang-shu-111605231

ChatGPT's Top 50 Favorite Words and Phrases

In the world of AI, where algorithms and neural networks reign supreme, AI detectors have become the literary detectives of the digital age. They’re like those overzealous grammar teachers who can spot a misplaced comma from across the room. These AI-powered tools are designed to sniff out patterns, flag suspiciously robotic language, and unmask the true identity of that “author” who might just be an AI bot like ChatGPT. But what exactly do these detectors look for? And why do they seem to have a particular dislike for certain words and phrases?

Whether you’re trying to avoid detection as a crafty AI or you’re just curious about the inner workings of these digital bloodhounds, this guide will walk you through the types of words and phrases that are most detectable by AI detectors, and why some words are simply overused by AI models like GPT-4 and ChatGPT.

Summary (TLDR)

◎ AI detectors spot AI-generated content by identifying overused, sophisticated, and repetitive words and phrases common in AI-generated text.

◎ Top overused words by AI like ChatGPT include “Moreover,” “Pivotal,” and “Comprehensive,” while phrases like “It’s important to note” and “In conclusion” are dead giveaways.

◎ AI’s predictability and consistency in word choice make it easier for detectors to flag content as AI-generated, as human writing tends to be more varied and informal.

◎ To avoid detection, writers should diversify their language, avoid overly formal tones, and mix conversational phrases that feel more human and less robotic.

Let’s get started, have a laugh, and learn a thing or two about the quirks of AI language.

An excerpt from two evaluators’ reasoning for whether the text is human-generated (left) or GPT-generated (right). Humans came to opposite conclusions from the same observations, demonstrating that humans aren’t as good as they think they are at identifying AI-written content (originality.ai).

Types of Words Detectable by AI Detectors

AI detectors are the Sherlock Holmes of the digital world, analyzing the patterns in text to determine whether it’s human-made or the work of a sophisticated AI. Here are the main types of words that these tools tend to sniff out:

1. High-frequency Words

Example: Words like “therefore,” “however,” and “furthermore” are AI favourites. They’re the literary equivalent of eating the same sandwich every day for lunch — reliable, but not very exciting.

2. Sophisticated Vocabulary

Example: AI often throws around words like “comprehensive,” “intricate,” and “pivotal.” It’s like that one friend who uses “exacerbate” in casual conversation, trying a bit too hard to impress.

3. Formal Tone

Example: Phrases like “It is imperative that…” and “In light of this…” scream “robot.” Humans, especially in casual writing, are more likely to say “We’ve got to…” or “So, because of this…”

4. Repetitive Phrasing

Example: AI models sometimes get stuck in a loop, using the same phrases like “It is worth mentioning that…” or “To sum up…” repeatedly. It’s like having a favorite phrase that you just can’t stop using — until everyone starts noticing.

Complex Sentence Structure

Example: AI loves long, winding sentences with multiple clauses. It’s like AI thinks it’s writing the next great novel, but instead, it’s just giving itself away.

Top 50 AI-Detectable Words and Phrases for GPT-4 and ChatGPT

When it comes to AI-generated content, some words and phrases are used so often that they might as well come with a flashing neon sign saying, “This was written by a bot!” Let’s break down the most overused words and phrases by ChatGPT.

Most Overused ChatGPT Words

1. Delve

• “Let’s delve into the …” Delving sounds deep, but AI uses it so much that it’s become more of a shallow dip.

2. Moreover

• “Moreover, it is crucial to consider…” Moreover? More like “overused.” This word pops up in AI text like dandelions in a field. 

3. Furthermore

• “Furthermore, this demonstrates that…” Furthermore is the cousin of “Moreover,” and AI loves family reunions. 

4. Pivotal

• “This event was pivotal in shaping the outcome…” Pivotal moments are important, but if everything is pivotal, is anything really pivotal? 

5. Tapestry

• “The cultural tapestry of our society…” AI has a thing for tapestries, even though we all know it’s just a fancy word for “a mix of stuff.” 

6. Vital

• “It is vital to understand…” If everything is vital, then we’re all on life support. 

7. Comprehensive

• “A comprehensive review of the data…” AI thinks that if something isn’t comprehensive, it’s not worth mentioning. 

8. Embark

• “We embark on a new journey…” AI is always embarking on journeys, but let’s be honest, most of them are just long walks around the block. 

9. Notably

• “Notably, the results indicate…” Notably? Not really. This word is the literary equivalent of underlining in a neon colour. 

10. Excels

• “This product excels in performance…” Excels — because saying “does well” isn’t fancy enough for AI. 🌟

11. Undoubtedly

• “Undoubtedly, this is a significant achievement…” When in doubt, say “undoubtedly” — or so AI thinks. 

12. Landscape

• “The business landscape is changing…” AI loves painting landscapes, but they’re all digital, of course. 

13. Vibrant

• “The vibrant community…” Vibrant communities are lovely, but in AI’s world, everything is vibrant. 

14. Arguably

• “Arguably, this approach is the most effective…” Arguably, AI uses this word too much. 

15. Catalyst

• “This decision acted as a catalyst for change…” AI’s go-to word for when something, anything, changes.

16. Engage

• “We need to engage with the stakeholders…” Engage — because apparently, talking isn’t enough. 

17. Seamlessly

• “The process was integrated seamlessly…” Seamlessly — because in AI’s world, nothing ever has hiccups. 

18. Paradigm

• “A paradigm shift in technology…” AI loves a good paradigm shift. Too bad it’s not shifting its own writing style. 

19. Optimize

• “We need to optimize our resources…” Optimize — because “improve” just doesn’t have the same ring to it. 

20. Framework

• “The framework for the project includes…” AI can’t build a sentence without a framework. 

21. Harness

• “We can harness the power of AI…” Harness sounds powerful, but AI uses it so much it’s lost its spark. 

22. Robust

• “A robust solution is required…” AI’s favorite way to say “strong” while sounding intellectual. 

23. Leverage

• “We should leverage existing technology…” Leverage — because “use” is just too pedestrian. 

24. Dynamic

• “The dynamic nature of the market…” Everything is dynamic with AI, even when it’s not. 

25. Intricate

• “The intricate details of the plan…” Intricate is AI’s way of saying “complicated” while trying to sound smarter. 

Most Overused ChatGPT Phrases

1. “Dive into the details…”

• “Let’s dive into the details of the analysis…” AI loves a good dive, even if it’s just into a kiddie pool of details. 

2. “It’s important to note…”

• “It’s important to note that this approach…” Important? Yes. Overused? Definitely.

3. “In conclusion…”

• “In conclusion, the data suggests…” AI likes to wrap things up in a nice little package, usually with this phrase. 

4. “As we have seen…”

• “As we have seen in the previous sections…” AI doesn’t trust that you were paying attention, so it has to remind you. 

5. “It’s crucial to understand…”

• “It’s crucial to understand the implications…” Crucial according to AI, who loves to tell you what’s important. 

6. “To sum up…”

• “To sum up, the findings indicate…” AI knows you’re busy, so it sums up everything, often. 

7. “In the fast-paced world…”

• “In the fast-paced world of technology…” AI thinks everything is fast-paced — maybe because it’s processing a million things a second. 

8. “A wide range of…”

• “A wide range of factors contribute to…” If you’re not sure what to say, throw in “a wide range.” AI does. 

9. “This highlights the need…”

• “This highlights the need for further research…” AI loves a good highlight, even when it’s not using a marker. 

10. “With regard to…”

• “With regard to the recent trends…” AI prefers “with regard to” over “about,” because it likes to sound formal. 

11. “On the other hand…”

• “On the other hand, this approach may be risky…” AI always considers the other hand, just in case you forgot it exists. 

12. “The findings suggest…”

• “The findings suggest that more research is needed…” AI loves to suggest things, usually that more research is needed. 

13. “To better understand…”

• “To better understand the issue, we need to…” AI really wants you to get it, hence this overused phrase. 

14. “This underscores the importance of…”

• “This underscores the importance of effective communication…” AI loves to underscore. It’s like highlighting, but fancier. 

15. “In other words…”

• “In other words, the approach is flawed…” In other words, AI thinks you didn’t get it the first time. 

16. “It’s worth mentioning that…”

• “It’s worth mentioning that the results were unexpected…” Worth mentioning? Maybe. Overused? Absolutely. 

17. “Given the context…”

• “Given the context, the decision was appropriate…” AI loves a good context — preferably one it can overanalyze. 

18. “Navigating the complexities…”

• “Navigating the complexities of the issue requires…” AI makes everything sound like a maze, even when it’s a straight path. 

19. “This approach allows for…”

• “This approach allows for greater flexibility…” AI is always allowing for something, even when it’s not really necessary. 

20. “An important consideration is…”

• “An important consideration is the cost…” Consider this: AI really likes the word “important.” 

21. “The benefits of…”

• “The benefits of this strategy are clear…” Benefits are great, but AI talks about them like they’re handing out candy. 

22. “In the context of…”

• “In the context of the current market…” Context is key, but AI sometimes makes it the whole door. 

23. “This leads to…”

• “This leads to a significant increase in efficiency…” AI loves a good lead, even if it’s leading nowhere new. 

24. “It’s clear that…”

• “It’s clear that further research is needed…” Clear as mud sometimes, but AI insists on clarity. 

25. “On the other hand…”

• “On the other hand, this approach may be risky…” AI loves to play devil’s advocate, just in case you missed the other hand.

Digging Deeper into the Data

So, why do these words and phrases keep popping up in AI-generated content? The answer lies in the way AI models like GPT-4 are trained. These models are fed vast amounts of text from books, articles, websites, and more. They learn patterns and tendencies from this data, which means they often default to phrases that are common in formal writing or that appear frequently in their training material.

But here’s the catch: AI is incredibly good at being consistent, which is both its strength and its weakness. While human writers vary their language to keep things interesting, AI sticks to what it knows works — hence the repetitive use of certain words and phrases.

This predictability is exactly what AI detectors are looking for. By identifying these overused patterns, detectors can make an educated guess that a piece of writing might not be entirely human. So, if you’re trying to write in a way that avoids detection, varying your language and mixing in more informal, conversational tones might just do the trick.

In the end, while AI is fantastic at generating text, it still struggles with the subtleties that make human writing so engaging and diverse. So the next time you see the word “moreover” or “it’s important to note,” you might just find yourself chuckling, knowing that it’s likely the handiwork of an AI trying its best to sound human.

Source: Asif Iqbal

https://www.linkedin.com/pulse/chatgpts-top-50-favorite-words-phrases-asif-iqbal-mba-cmbe-lavpe/

中共拒絕IMF建議出資拯救樓市崩潰，原因何在？

 

圖一：IMF呼籲中國政府直接出資解決爛尾樓問題，但被中方以造成道德風險為由拒絕。（圖片來源：信報）

日本迷失二十年的教訓，是政府必須出手挽救瀕臨破產的房地產或金融機構，否則它們崩潰之後，將需要二、三十年來復甦。美國在二〇〇八年雷曼債券爆煲的金融危機，就是吸收了日本的教訓而由政府出手注資拯救銀行和保險公司，令美國不致陷入衰退和滯漲。這是野村證券的辜朝明 （Richard Ku）的看法，他建議過中共必須出手救助房地產危機，我去年寫過文章評論。現在IMF提了出來，但中共的專家反對，說會引起政府無限量承擔的道德風險。

說是道德風險，不如說是民主風險吧。辜朝明的救市建議，是在民主政府才是容易執行的——民主政府是有限度承擔責任，極權政府一旦執行，就是無限量承擔責任了。故此，中共還是等待特朗普上台、等待美國外援好了。如果特朗普不能回朝，那就死路一條，中國大陸被（勾結民主黨的）美國財團吃定了！

國際貨幣基金組織（IMF）八月二日發表中國年度評估，呼籲中國政府從速處理無力償債的內房企業商，並直接出資解決爛尾樓問題、補貼買樓人士，把無法峻工的項目轉為保障房等。報告估計，若中國要實行這個建議，所需金額相當於中國GDP的5.5%；由於數目很大，政府應該分四年時間攤分。有外媒計算，涉及金額約一萬億美元。

不過，彭博社指中方反駁IMF的建議，並主張以市場化方式解決內房爛尾問題。IMF的中國執行董事張正鑫指中央政府不宜直接提供財政支持，否則會導致外界預期政府未來會出手救助，從而造成道德風險。

其實IMF早在五月完成對中國的評估，七月開始撰寫報告；而中國當局五月曾公布一系列救市大招，包括發行一萬億超長期特別國債、人民銀行以人民幣三千億資金助國企購買空置單位並轉為保障房、大幅降低首付比例等，所以這分報告的內容現在看來或有些過時。不過明顯可以看出五月時中央那一萬億國債、三千億資金統統都是杯水車薪，因為IMF提出的數目龐大，達到中國GDP的5.5%。

至於張正鑫的說法則提出了中國內房的困局 —— 中央政府不可能無了期地出手救市，因為內房問題是無底深潭，是個能吞噬一切的黑洞。泡沫終究是要爆破然後歸於虛無，一切只是時間問題。

Source: 陳雲

https://www.patreon.com/posts/zhong-gong-ju-yi-109691227

一件零件，足以結束俄烏戰爭

 

圖一：軸承（啤令）能確保火車安全運行，俄羅斯鐵路列車的啤令即將耗盡，一旦鐵路網癱瘓就無法動員。（圖片來源：網上）

自由貿易是和平的保障，互相交換產品優勢，引致彼此依賴對方的糧食、原料、機器和技術，就很難發生戰爭，因為彼此制裁和禁運，足以令對方招架不住。美國用貿易禁運在二次大戰對付過日本，戰後對付北韓、伊朗，現在是俄羅斯和局部對付中共。看來先招架不住的是俄羅斯，自從美國明令叫中共不能在軍事工業支援俄羅斯，否則會被金融制裁之後，俄羅斯就疲態畢露。相反，烏克蘭的軍需品源源不絕，最近還得到F-16戰鬥機，儼然是北約成員國的標準配備了。目前中共遭受美國的貿易關稅懲罰、高科技晶片禁運和局部的投資禁止，看來一旦俄國停火、北韓被可能上任的特朗普離間，中共投降談判之日近矣。

全球大選年，特朗普即將強勢回歸，就連普京都要讓路？

網上流傳整個俄羅斯鐵路網可能會在幾日之內徹底癱瘓，原因是列車的重要零件即將耗盡，一萬個車卡已經即時停用，仍然在用的二十萬個車卡則隨時停用，情況相當危急。俄羅斯鐵路公司副局長科布澤夫（Sergei Kobzev）己通知下屬並叮囑他們儘量加班，又威脅若工作期間出意外或故障，輕則被解僱，重則小命不保。

據知那個重要零件是盒式軸承（cartridge bearings），即是香港說的啤令，用來支撐車輪的軸心結構，確保車卡平穩、安全運行，是很重要的零件。俄羅斯國土全球最大，橫跨歐亞兩國，故此相當依賴鐵路交通；一旦鐵路網癱瘓就無法動員，影響非常嚴重。筆者認為鐵路公司副局長並不是真的要殺死員工，只是要強調事情的嚴重性，畢竟俄烏戰爭還在打嘛，必須確保俄軍的動員力 —— 沒有火車普京就沒法調兵遣將和運載武器，難道這場打了兩年多的仗，最終因俄羅斯被逼停戰而告終？

俄國近年火車意外頻生，香港白手套難發揮效用

事件被《新聞週刊》（Newsweek）報道出來，並引述分析指今次事件代表歐美制裁禁運有成效；事實上，以「俄羅斯」與「火車意外」為關鍵詞在網上搜尋，就會發現近年有很多宗相關的新聞，每次都有約一百人傷亡。不久之前，維也納經濟研究所所長菲爾德邁爾（Gabriel Felbermayr）說俄羅斯借助中亞國家購買西方產品，對華貿易增40%，對土耳其增加23%，對印度的貿易額更增逾倍達140%，代表西方對俄制裁收效甚微。

圖二：俄羅斯國土橫跨歐亞兩國，故此相當依賴鐵路交通。（圖片來源：網上）

現在看來正好跟菲爾德邁爾說的相反，就連中共也不能插手幫忙 —— 其實是可以的，因為還有香港這個白手套嘛。不過香港有很多公司已被美國制裁，所以要做得比之前更迂迴，結果是要花更多時間和錢才能買到和運送到俄羅斯。中俄沒有錢就不要想這些事情啦！

打仗講求一鼓作氣，而且兵貴神速，如果今次消息屬實，似乎俄烏戰爭真的要結束，以迎接特朗普回朝。

Source: 陳雲

https://www.patreon.com/posts/yi-jian-ling-zu-109641111

3 tips for your work week

Three doses of practical wisdom for your week:

• The main purpose of a meeting isn’t whatever you’re talking about — it’s something called narrative alignment, or helping everyone on your team think of themselves as part of the same story. A lot of that alignment happens nonverbally, which is why ditching meetings might make things more efficient in the short-term but backfire long-term.
• People don’t read online; they scan. Most readers follow an “F-scanning pattern,” meaning they run their eyes down the left side of the page and move to the right when they see something interesting. One lesson here, if you happen to be writing an internal document this week and want your coworkers to pay attention: Keep paragraphs short and front-load your main point into the first 3–5 words.
• I loved this deep-dive into how to get over writer’s block from game designer Doc Burford. It’s written through the lens of creating video games, but the lessons apply to any type of generative work. Here’s one piece of wisdom, a version of the adage that your first idea is never your best: “Any idea you have should be taken at least twice as far as your instinct tells you.”

Source: Harris Sockel

https://medium.com/blog/3-tips-for-your-work-week-plus-brats-anti-design-f96c5b2b77db

巴黎奧運開幕禮的公共藝術責任

 

圖、左上角是巴黎奧運會開幕禮的塞納河表演。左下角是《最後晚餐》，右邊是《諸神宴》。陳雲拼圖。

Why not both？有些文化界朋友說，這次巴黎奧運開幕禮的古畫參考，不是達文西的《最後晚餐》（一四九八年完成），而是Jan H. van Biljert的《諸神宴》（Feast of the Gods）（一六三五年完成），這些鼓吹所謂多元化的文人，在洋洋自得，諷刺那些表達不滿的基督徒不識得藝術。

問題是，為什麼不能兩種典故並存呢？同時戲謔（parodize）兩畫呢？

看藝術，你要懂得問問題啊！例如在開幕禮的表演是藝術，也是賺錢的生意，為什麼不在場景裏加入希臘神話色彩呢？（我在這裡不用中世紀天主教會用的異教（paganism）一詞，那是當時基督徒貶抑希臘羅馬信仰和其他民俗信仰用的詞。）這樣可以disambiguate（去曖昧化）《最後晚餐》嘛。為什麼《諸神宴》的海王所持的海王叉消失了呢？這麼明顯的signifying icon為什麼要缺席？另一位神手持的樂器也消失了呢？這分明在製造曖昧（ambiguity）啊。

在藝術上，曖昧是好的，但在奧運會這種公共藝術的道德責任上，這是犯錯。我極討厭那些不顧道德的公共藝術！公共藝術是要顧及道德的。如果是在買票的劇場表演，或不作世界轉播的巴黎街頭表演，那就沒所謂，不喜歡看的可以行開。然而，這是疫情結束之後的第一場奧運會，是繼上次二〇一二年倫敦奧運之後最多人看的奧運會開幕禮。

巴黎奧運開幕禮藝術總監Thomas Jolly否認他從《最後的晚餐》獲得靈感。但他也沒有說是參考Jan van biljert的畫。他只說舞劇的主題是多元性，是包容（inclusion），不是排擠（exclusion）。四個小時的舞劇是慶祝奧林巴斯的諸神。這是最惡劣的藝術家回應了。他可以說不予置評，隨你怎麼看（open to your interpretation）。可見所謂法國藝術界的大膽，在金錢面前，竟然首鼠兩端。

巴黎主辦當局正式道歉。贊助商C Spire全面撤除廣告。

法國奧運的開幕禮見到法國當局仍在叛逆，而且是沒根底、沒新意的叛逆，只是討好和媚俗（kitsch）。叛逆是很容易做的事，於是很容易落入媚俗。兩百年過去了，還在砍王后瑪麗·安東妮的頭。當代的奢華王后呢，當代的路易十六呢，夠不夠膽去砍？他們提也不敢提！

一群老來嬌，不肖子孫，這是令人哀嘆的。歐洲國家淪落到這樣，比中國的淪落遲來了百幾年，但終於也逃不過淪落，因為歐洲也一樣有不肖子孫，不學無術之士。

為什麼我可以一開始就抨擊巴黎奧運開幕禮媚俗和無聊？那是因為La majorité de Hongkong.  Coming of age of Hong Kong.  香港已經成功西化，我們縱橫四海，見多識廣，不必再好似民初時期那樣膜拜西方，特別是法國。法國大革命的弊端，我們知道，他們膚淺的革命思想禍害華夏至今，我們也知道。我的《香港城邦論II》，就是批判法國大革命，重新從英國David Hume和Edmund Burke那邊的保守主義來反省。反而香港那群偽港獨派，就是民初崇拜法國革命的小孩，禍害香港夠慘的。

我不會好像某些台灣文人那樣，小心翼翼地去詮釋今次奧運開幕禮有什麼微言大義，有什麼文藝典故，生怕未能盡解法蘭西大師的委婉。我是直斥其非！那是混帳荒唐，沒新意也沒深意。

我們香港已經長大了。不再是未成年。

Source: 陳雲

https://www.patreon.com/posts/ba-li-ao-yun-kai-109013981

https://www.facebook.com/wan.chin.75/posts/pfbid02PJSptBCVEP2vyTGUBwACgQBbsbcMGQhA2YqgeKcUxKdBTkpFcK1JqaGA6Q5TJLial

https://www.facebook.com/wan.chin.75/posts/pfbid0GKw4SiZRz16y983WSYyP6qhPp2j4YmKXxRaKtQNfaKWyT7gf5okgRnAZxWmRJr4ql

https://www.facebook.com/wan.chin.75/posts/pfbid032VTLf4y9ThpF7h1MoD2DFieADjYxzwDfjkHkFfVpk7pexGkDtqhLpz7tDRv9Cqk4l

拍攝政治新聞照片

歐洲部份沒有使用廣泛流傳照片的報紙，選了部分對影像處理比較特別的貼出來，這次案例真的特別，對傳媒使用照片的思考是一個大考驗。

Independent 高手，有以前南都美術排版風格 🤣

Source: Lam Yik Fei

https://www.facebook.com/lamyikfei/posts/pfbid02KBiCLCnkTVz1QHZnb9vjjNPP5nhF1up55GufniHa5SstJca84P2Ecgwf6sSstcaul

拍攝政治新聞照片

 

拍攝政治新聞照片很需要警惕的是，政治人物站出來的位置，現場環境的佈置以及攝影師可以站立的位置，都是經過政治人物設計，為求在可能的環境下局限攝影記者拍出來的是政治人物希望見到的影像，又或最少機會不是政治人物不希望見到的。

有時留意歐美媒體對政治影像的處理可以明顯見到，拍攝記者會時，很多時會把背景板以外的環境和人也拍進去，記者在現場發問/拍攝，又或是在外圍的警衛和幕僚也可以把環境還原得更立體。也有使用長鏡頭，只聚焦在政治人物本身的表情上，把政治人物精心設計的背景去除，通通就是攝影記者要「破局」的小把戲。

第一眼看到Donald Trump受槍擊的照片，當然是美聯社Evan Vucci和其他在同一位置拍攝的照片，他們都很出色，我也相信他們的照片會放進歷史成為經典。

但同時我也開始有點警惕，站在台下仰視Donald Trump的角度，背景的美國國旗和在特勤局人員掩護離開下仍然堅持向群眾舉起手喊話的Donald Trump，絕對理解這和之前所說政治人物面對攝影記者的「設計」是不同的，這次是突發事件，很多地方是不能預料。但攝影記者們應該都會預視到，當這三個視覺元素同時出現，就很有可能產生「英雄化」被攝者的照片，攝影記者服務的媒體立場，和攝影記者對被攝者的認知和評價，我先不討論誰人可「英雄化」，誰又不能。

但我認為攝影記者有這警惕是需要的。

美國兩大報頭版先揭曉，都把三大元素的其中之一美國國旗裁走或是沒有使用包含國旗的照片，期待晚一點看到歐洲報紙如何處理？

    

補充資料︰

其他幾家沒有派出攝影師的美國報紙，全都使用美聯社Evan Vucci的照片，但都沒有使用最廣傳見到完整國旗的一張。

Source: Lam Yik Fei

https://www.facebook.com/lamyikfei/posts/pfbid02dKBjyVNroWWBRwGHvvfRUiKucZXVwdhvEdHrMcbAsuLiaijYmK49hBsqjxBCJpLWl

殖民官三箴言

 

圖、1899年3月19日，滿清廣東補用道、大貪官王存善（左二）受兩廣總督譚鍾麟委派到香港，與殖民地總登記官兼撫華道駱克（左三）簽訂《香港英新租界合同》。圖片來源：維基百科

在香港藝術發展局任職期間，認識上司林志釗，聽聞他講述的殖民官三箴言，我奉之為為官處事的規條。林的洋名是Albert Lam，粵語諧音，成了他的渾號——牛白腩。他曾是民政署長、市政總署署長及香港駐倫敦辦事處專員，二千年前夕，在取消市政局的時候，他為特區政府撰寫過研究報告，並出席公眾論壇，一度惹來罵名。

他在二〇〇一年出任藝術發展局的行政總裁，是我的上司。不時講述他做官的技巧，例如如何打點末代總督彭定康出巡的街坊關係。他說第一圈的街坊都是民政署篩選過的，不會令總督尷尬。曾任市政總署署長的林志釗、陳達文都是我在藝術發展局的上司，我去了民政局之後，同事謝祥安是民政局長的新聞主任，謝以前也是彭定康總督的新聞主任，可謂經驗老到。

殖民官三箴言。第一，是If it ain't broke, don't fix it.  Ain’t 是isn’t的俗話。這官箴容易理解，就是運行得好地地的東西，不用修理它，不要沒事找事做。做官是看管事情而不是做事情，是奉旨懶惰，薪水就是買怕了你，請你不要亂說亂動。

不必派兵救援，本官自有分數

第二，是Don’t turn the stones of the garden。不要亂翻花園的石頭，好奇心不是這樣用的。石頭下面有蚯蚓和蟲，翻起了石頭就要處置他們。他們被石頭壓死，不關你的事，你翻起石頭而他們見光而死，就關你的事。實質而言，是指不要干擾低下層的生活，也不要打擾富豪的謀財之道，由得他們，得過且過。

第三條極為深奧，也是保命之用。是殖民官在山番地區有時會遇到叛亂、起義之類，往倫敦發電報或打電話，就要這樣講：The natives are revoting.  But things are under control. 土著在叛變，但情勢在控制之中。意思是說，土著叛變常有，不必派員來視察，也不必派救兵來，我自有分數。

派兵鎮壓、派專員視察之後，當然會挑出殖民官的毛病來的，即使不挑出毛病，也是治理失職。故此只需要匯報，不必增援。那麼真的火燒衙門怎辦呢？走人囉。殖民統治是不義的，被土人趕走不是什麼怪異的事情。殖民政府走了還是會回來的，因為土人不知如何治理殖民地的制度。

套在香港的情況，二〇一四年的佔領中環，梁振英是輕描淡寫，自行處理。二〇一九年的泛民叛變，二〇二〇年的假瘟疫，林鄭月娥是大張旗鼓，北上求援。結果兩人都無法連任，但對香港的傷害，後者為大。二十三年之後，香港變成新深圳，由林鄭氏始。

補充︰

箴︰粵語針。箴本義為一種縫衣用的工具，即後世之針。 箴是竹製的針，後來使用金屬製針，故字又作針。箴可以用來刺肌體而達到治病的目的，引申出告誡、規勸義。 又引申為一種內容以規勸、告誡為主的文體。

Source: 陳雲

https://www.patreon.com/posts/zhi-min-guan-san-108059465

充氣展覽，雙方不歡而散

圖一、原創藝術家Joann要求展覽停辦

日前我評論過中環的吹氣展覽，豈料事情急轉直下。

《Yahoo新聞》專訪了亞美尼亞的藝術家 Joann，她「不喜歡」展品的效果，認為展品「醜怪」、比例欠佳，打燈令效果更醜。她又向《Yahoo新聞》表示，不喜歡自己的名字出現在這醜陋的展覽上，指這概念屬於她的，要求主辦方停辦展覽。

《中環夏誌》由私人機構 Culture Venue Management（CVM） 主辦及出資的非牟利活動，並非政府項目及受政府資助，但該機構之前有領取政府盛事基金的資助來做展覽。CVM知悉藝術家的意見之後，認為展品傳了給她，已得到她同意，故此如舊展出。

主辦者在得知市民厭惡金字塔變成綠色之後，已改為紫色，證明他們知道不妙，到了原創藝術家出言反對，卻不商議改善或取消，反而堅持展出。雖然合約已經買了概念的版權，但效果和評論不好，便需要改善，這是尊重藝術家意願，二來是尊重公共空間，不能明知被認為醜陋也一意孤行。

雖然是私人出資，在公共空間放置藝術是要顧及美感和評論的，這是香港很多商家不屑去理解的地方，以為是私人出資就可以我行我素。而主辦者的美學知識，更是不敢恭維，例如說展品放什麼顏色都有人批評，而白色代表優雅純潔。

有美學常理的都知道，白色顯出優雅純潔，要看放在什麼場合和素材，放在婚紗或會議桌是可以的，但放在豎起的石碑狀的吹氣柱體，就似西洋墓碑。本來，原創藝術家有意見，合理的公關做法是商議之後，請她來港看看，與民眾見面交談，之後就地改動展覽，這樣就不必自己挨罵，也許只是支出十萬元以內的經費就可以辦妥，可惜，香港的商界就喜歡用最醜陋的方式處理這藝術爭議。

圖二、主辦者堅持照舊

Source: 陳雲

https://www.patreon.com/posts/chong-qi-zhan-bu-107679736

特區政府鬥三煞？

圖一、中環吹氣塑膠的世界奇觀

之前有KAW死人漂浮公仔、東九龍中心白花陣、現在中環海濱又有死人金字塔和白色墓碑展示。圖中的綠色金字塔，白天是白色的，晚上打光上去變綠色，為什麼不打金光或黃光呢？這顯然令人想起衙門暫時掩蓋跳樓死亡的遺體的綠色膠布金字塔，說是藝術是難以服人的，因為一堆好似以前深圳世界之窗的世界奇觀景點大聚集，只是奇觀風格（spectacular）而已，不會討論出什麼美學意義。

我私下認為，這是政府由某些人指點而行的假死術——好似有錢佬玩葬生基（俗稱種生基），代替香港死亡幾次，或在象徵世界（巫術世界）加速香港的死亡，但現實香港仍未死，只是局部復元之中。

圖二、大周朝女皇帝武則天的除罪金簡

這是死裏求生的巫術。唐代道教將之改造為除罪方術，例如女皇帝武則天曾經在河南嵩山投下除罪金簡，希望道教的地官可以赦免她的罪惡。在求偏財的賭場、舞廳、妓院等，有時也刻意揀選風水惡劣的三煞地來開業，或者在風水好的地方，刻意用門口方位等方式破格，就是「欲要發，鬥三煞」的方術。

防疫惡政三年，弄出空前衰退，政府自知罪孽深重，玩這些假死的方術是情有可原的。然而，假若政府真的在玩方術，就只能嘆息一句：不問蒼生問鬼神。

詳情：

被市民評為一堆「墓碑」的，是「SummerFest@Central  中環夏誌」五件巨型充氣裝置之一，聞說叫「英國巨石陣」。此外還有充氣「意大利比薩斜塔」、充氣「法國凱旋門」，但要數最震撼人心的，一定是那個在晚上發綠光的「埃及金字塔」，分明把跳樓現場常見的綠色三角帳篷放大了100倍。

到底是哪位天才設計出這些觸目驚心的充氣裝置呢？「中環夏誌」主辦方稱，設計靈感是受國際知名AI藝術家@joooo.ann的作品所啟發。@joooo.ann原名叫Joann，是亞美尼亞一位設計師和插畫師，擅長透過AI技術創作別開生面的作品，其中一個著名系列就叫「充氣奇蹟（Inflatable Wonders)」 。

Source: 陳雲

https://www.patreon.com/posts/te-qu-zheng-fu-107499914

憧憬特朗普上台最美妙的中美場景——《香港被逼做金融中心的策略系統分析》系列的補遺

 

拍攝完三集《香港被逼做金融中心的策略系統分析》，發現有些未盡之言，用短文講一下吧。

中共最美好的下場，是特朗普上台之後，減息和量化寬鬆（QE）美元，也與中共同時約定QE人民幣，但條件是中共要開放金融及服務市場，並逐步取消外資進入中國大陸的壁壘，願意美方派駐監察員在大陸監管涉及開放的範疇。美方為此答應減低中國貨物進入美國的關稅，雙方重開市場。

美國也答應俄烏戰爭停火之後，中國可以在烏克蘭承包重建工程，那麼中共嚴重產能過剩的建材和工程業可以在烏克蘭大展鴻圖，中亞鐵路也可以重新忙碌運輸起來。

如此，中共下跌的房地產、股票和上市的國企可以得到量化寬鬆之後的美元注資購買，美國減息之後，資金也有出路，湧向中國大陸，令衰退中的中國得到拯救，但後果是企業很多落入或部分落入美資手上，那麼中國就好似韓國經歷金融風暴之後，韓國大企業被美資收購。如果中國大陸的企業很多有美資成分或過半數股份屬於美資，技術禁運就無必要，可以取消。中國大陸可以重新做台灣那種台積電或英達偉的代工。

政治上的代價，一如南韓，是民主化。之後華夏文化隨著民主化而爆發創意，發揚光大。

中美合作挽救全球性經濟衰退，有往績可循的。在美國爆發雷曼債券的時候，2008年，美國學了日本的教訓，政府出資擔保了大銀行和保險公司，並要求中共元首胡錦濤與美國一齊量化寬鬆4萬億人民幣，結果中美一齊經濟膨脹，挽救了美國的經濟衰退，也令香港空前繁榮。這是中美合作的良好往績，後遺症是中國的量化寬鬆控制差劣，大部分走人房地產圈地和建屋，引發現在習近平的窘境。

假如特朗普沿用拜登的策略

另一個場景是最壞的。就是特朗普沿用拜登的策略，繼續技術封鎖和去風險化中共，與東亞盟友推高台海戰爭風險，逼中共軍備競賽，美國用列強來對付中共的一強（many to one的策略）。解決俄烏戰爭之後，因為中共曾經援助俄國而不准中共參與重建，待中共單方面QE、發債而爆發金融風暴，用最低賤的價錢收購中共。我認為這大概就是拜登及其金主財團的對華策略。

不論前後，香港都會重中得利，以前者的策略得利最多，後者則是慘勝。最終，當然是中國大陸繁榮起來，香港只能保住金融中心，其餘經濟活動被大陸取代。

Source: 陳雲

https://www.patreon.com/posts/chong-jing-te-pu-107533944

Words and Phrases that Make it Obvious You Used ChatGPT

A Financial Review article asked, “Is this one word the shortcut to detecting AI-written work?”

What was the word? Delve.

ChatGPT even joked about this on Twitter, saying “Don’t mind me just doing some delving today.”

This made me wonder what other words and phrases are overused by ChatGPT. Below is a list of words and phrases that ChatGPT overuses, based on my interactions with ChatGPT.

Does this mean you can’t use these words or phrases? Of course not!

Does this mean any text with the word “delve” was AI-generated? Nope! I know people who love to use these words in their writing. And that’s fine!

But it’s good to be aware of these words because they tend to be mechanical and vague. If you are using too many of them, your text may sound like it was AI-generated.

Transitional words overused by ChatGPT

• Accordingly
• Additionally
• Arguably
• Certainly
• Consequently
• Hence
• However
• Indeed
• Moreover
• Nevertheless
• Nonetheless
• Notwithstanding
• Thus
• Undoubtedly

Adjectives overused by ChatGPT

• Adept
• Commendable
• Dynamic
• Efficient
• Ever-evolving
• Exciting
• Exemplary
• Innovative
• Invaluable
• Robust
• Seamless
• Synergistic
• Thought-provoking
• Transformative
• Utmost
• Vibrant
• Vital

Nouns overused by ChatGPT

• Efficiency
• Innovation
• Institution
• Integration
• Implementation
• Landscape
• Optimization
• Realm
• Tapestry
• Transformation

Verbs overused by ChatGPT

• Aligns
• Augment
• Delve
• Embark
• Facilitate
• Maximize
• Underscores
• Utilize

Phrases overused by ChatGPT

• A testament to…
• In conclusion…
• In summary…
• It’s important to note/consider…
• It’s worth noting that…
• On the contrary…
• This is not an exhaustive list.

Examples of data analysis phrases overused by ChatGPT:

• “Deliver actionable insights through in-depth data analysis”
• “Drive insightful data-driven decisions”
• “Leveraging data-driven insights”
• “Leveraging complex datasets to extract meaningful insights”

Other signs that text may have been written by ChatGPT:

• Overly complex sentence structures
• An unusually formal tone in text that’s supposed to be conversational or casual — or, an overly casual tone for a text that’s supposed to be formal or business casual
• Unnecessarily long and wordy
• Vague statements

Example 1: Ask ChatGPT to write a recommendation letter.

I asked ChatGPT to write a recommendation letter for a coworker applying for an event planner job at Eventbrite.

+

What are some signs that this text was generated by ChatGPT?

It is vague and wordy, without concrete examples: There aren’t any specific ways that my coworker helped with events.

There are too many adverbs, making it sound inauthentic and not human: “enthusiastically,” “closely,” “consistently,” “flawlessly,” “efficiently”

Some words and phrases aren’t used often in human-written text, such as: “professionalism,” “furthermore,” “meticulous attention to detail”

Example 2: Ask ChatGPT to write a data analyst cover letter.

I asked ChatGPT to write a data analyst cover letter. I provided some made-up details, saying I’m applying for a data analyst role at Eventbrite and have 2 years of work experience as a Google data analyst.

What are some signs that this text was generated by ChatGPT?

Vague, meaningless phrases: “I am confident in my ability to contribute effectively to your team and drive insightful data-driven decisions”, “leveraging complex datasets to extract meaningful insights”, “delivering actionable insights through in-depth data analysis,” “demonstrating strong problem-solving skills”, “leveraging data to drive business outcomes”

No specific examples of data projects, just vague references to “dynamic visualizations and dashboards.”

Overuse of adverbs that don’t add any meaning to the text: “effectively,” “efficiently,” “successfully,” “cross-functionally”

Ends with “Warm regards”

Example 3: Ask ChatGPT to write a LinkedIn outreach note.

I asked ChatGPT to help me write a LinkedIn note to a University of Virginia employee, expressing interest in a data analyst position.

What are some signs that this text was generated by ChatGPT?

The subject line is weirdly formal: “Inquiry about Data Analyst Position at UVA”

Words that aren’t frequently used in human-written text: “keen,” “dynamic,” “inquiry”, “deriving”

Vague, meaningless phrases: “exciting work being done at your institution,” “passion for deriving insights from data”, “dynamic team like yours”

No specifics about the current job or projects, and only a vague reference to a “background in data analysis.”

The University of Virginia is a big place, but this text doesn’t specify a particular unit on campus.

Example 4: Ask ChatGPT to write an email about data analysis findings.

I asked ChatGPT to draft an email to stakeholders about the results of a data project.

What are some signs that this text is generated by ChatGPT?

Meaningless adverbs that are over-used by ChatGPT: “additionally,” “consistently,” “effectively”, “strategically”

Uses the word “delve”

Unnatural greeting and sign-off: the email starts with “Dear Stakeholders” and ends with “Best regards.” If written by a human, the names of the people would be listed at the beginning.

Long, vague sentences such as “highlights the importance of concise and focused messaging,” “present valuable opportunities for optimizing…”, “I look forward to collaborating with you to leverage these learnings effectively in our future marketing endeavors”, “delve deeper into the implications of this analysis”

Example 5: Ask ChatGPT to write your resume summary.

I asked ChatGPT to write a resume summary for me, including a few details about my current job and technical expertise.

What are some signs that this text was generated by ChatGPT?

Vague, meaningless words and phrases: “results-driven,” “solid foundation,” “actionable insights,” “innovative solutions,” “strong collaborator,” “drive efficiency,” “complex challenges,” “track record”

No specific examples of certifications or data projects.

Strange phrasing: “University of Virginia ecosystem,” “leveraging 4 years experience”

Final Thoughts

Why does ChatGPT text sound bad? It’s as though you asked a million people to respond to your prompt, and ChatGPT gives you the “average” of all their responses. Its output will be generic and vague. ChatGPT won’t give you the best word for each scenario, it will just give you the most commonly used one.

There’s no foolproof way to detect AI-written text, even if you use tools available today (like GPTZero.) AI software could always create text with the specific intent of evading these kinds of detectors. Also, AI tools are always improving, so there is an arms race between ChatGPT text detectors and detector-evaders.

As ChatGPT evolves, it can’t hurt to avoid the words and phrases listed in this article. To make your text sound more human, use specific, meaningful words, and specific examples. For example, you can ask ChatGPT to generate draft text, then interact with ChatGPT to edit the text and make it sound more authentic.

Source: MargaretEfron

https://medium.com/learning-data/words-and-phrases-that-make-it-obvious-you-used-chatgpt-2ba374033ac6