Saturday, October 26, 2024

為什麼日式餐廳的叉燒乏味卻是有型,中式燒臘鋪的叉燒好味但是市井?雜談中日飲食美學,香港飲食衰落如何補救

圖一、周星馳的《行運茶餐廳》等香港電影,將茶餐廳的爛蹋形象幽默化,推廣到代表香港


朋友在餐廳的燒味部工作,每日傍晚只得一輪飯市,其他中式餐館的情況也相若,但附近的日式餐廳一個飯市,可以炒三輪。

他想知道,一個地方失去自己食物之後會變成怎樣?我說,食物是族群的共同記憶所在,飲食禮儀也是禮的核心,失去自己食物就是族群瓦解。

日式餐廳何以被視為高人一等,而且一般業務較好?我以前在報紙或短片談過這問題。概括一下,三個原因:形象格局、食物質素、待客之道。


圖一、借景入餐廳。日本北海道的佳松御苑的空靈與素淡的環境美學,這是屬於商業化的例子

禪宗心法與宋人美學

先說形象與格局。日本在太平洋戰爭慘敗之後,痛定思痛,臥薪嘗膽,十年生聚、十年教訓,苦苦改善國家形象。美國監督日本帝國製作的自由憲法和解放後的開放社會與日本隱秘在政壇和商團的貴族世家經營融合起來,推出新的日本形象,從剛正的一面去到柔順的一面,洗刷日本在戰時的暴烈和兇猛形象(如神風突擊隊),戰後的文學、電影、櫻花、武士道、柔道(從暴烈的柔術改良為柔道)、空手道(放棄沖繩的唐手)、茶道、花道、劍道、弓道、壽司等,刷新日本的文化形象。二次大戰後,鈴木大拙(Daisetz T. Suzuki 一八七〇年—一九六六年)將禪宗推廣傳到美國和全世界,影響了美國詩和心理學。他與弗洛姆(Erich Fromm)合著《禪宗與心理分析》。文學家除了川端康成之外還有很多,電影有黑澤明這位曠世巨匠。

美學而言,日本在戰後的美學選了唐朝禪宗的空靈隱逸和宋朝書畫瓷器的樸拙清雅為核心,這本來是唐宋的士大夫精神,日本將之推廣和商業化,但維持若干嚴謹度,不致濫用。日本餐廳的行草書法、大塊原木、粗石、草墊、暗色枱布、木格窗棱,盡顯樸拙清雅,其園林借景,雖未必做到「苔痕上階綠,草色入簾青」,也庶幾近矣。

他們將禪宗心法和宋朝美學降低為商業化,但不會市井化。市井食物如壽司和飯糰,則用精緻的手法和佈局將之提升。這與香港在二〇〇〇年之後將茶餐廳玩到爛蹋蹋、以雲南米線的街頭腐朽食物當作香港食品代表作這種作風,可謂迥異。當初香港欠缺的,就是政府的政策領導和高雅階級的指引——此二者在九七之後逐漸消退,在二〇二〇年之後雞飛狗走,銷聲匿跡。

圖二、我在面書嘲笑過的。香港旅遊發展局於10月16日至20日舉行的巴塞爾藝術展巴黎展會上,啟動與巴塞爾藝術展(Art Basel)三年全球夥伴合作計劃下首個項目,於巴黎大皇宮(Grand Palais)內設立「茶餐廳」,歡迎來自世界各地的訪客親身體驗香港獨特文化。圖片來源

談到日本的烹煮技巧,因為他們雖然有王家貴族,但比起華夏或法國的宮廷實在貧苦,故此日本難有佳餚美饌。於日本飲食,我只能泛泛而論,不敢侃侃而談。一來我不食生的海鮮,懼怕腸胃病和寄生蟲病,二來我不慣日本的豉油和醬醋的味(我食過共產中國初年出品的廣東豉油和浙江醬醋),日本茶和清酒也不合我腸胃。日本的洋化飲食是做得好的,因為戰後很多日本人到西洋飲食大國——法國深造,甚至將無人繼承的飲食家業繼承下來,故此日本的餐廳佈局也有法國的高雅影子。儘管有和化的麵包和西餅品種,但正宗德國麵包和法國餅點烘焙得地道,咖啡做得好,混合型的威士忌有些比蘇格蘭的更好。和化的中華拉麵也是做得好的,但放在拉麵上的廣東叉燒變成日本的叉燒是敗筆。舉九州拉麵為例,大蔥切花不如廣東的細蔥花來得香,魚肉塊、蟹肉條的味道單薄,不如往日的廣東餛飩和潮汕魚蛋野味,但拉麵是做得好過目前的唐人粗麵,豬骨湯也熬得好過現在的唐人豬骨湯。香港在戰後精緻化的雲吞麵,用的是淡湯(大地魚乾和蝦殼煮成)、細麵,故此雲吞可以濃味,魚蛋可以野味。九州拉麵是反其道而行之,湯濃、麵粗,但放在麵上的佐料是淡味的,兩者的道理就是華夏的烹飪之道——做到適中,稱為「和味」。這是四書之一的《中庸》說的中與和,用於日常飲食而大家不知。

爐端燒、釜飯之類的飲食,是將鄉間野炊提升到有野趣,也離不開士大夫的趣味。

我以前寫過,和與清,是華夏高雅烹飪的兩路。至於濃——例如茶餐廳、雲南米線之類的飲食,並不入流。香港在本土運動中途失敗之後,那群賣國賣港的港獨仔用粵語粗口、茶餐廳和雲南米線來代表香港,卻得到頗多香港人認同,就知道九七前流失了一批精英港人的後遺症。

日本的飯雖然屬於我不喜歡的短米,也煮得認真,軟硬適中,而且端上來的時候溫熱或灼熱,至於有時候加上蘿蔔之類,雖然有營養,但敗壞了飯的清味,我是討厭的。


圖三、日本茶道的和、敬、清、寂

將高雅的品味下降到商業的程度,但維持不跌

最基本的東西做得嚴謹,用烹飪技巧提升其味,做得可以品嚐食物材料原本的美味,謂之清。清味是日式飲食的精粹!相對而言,華夏高雅飲食的精粹是和味,那是在清味之上——各味調和而不失各味之清。和味極難維持水準,也極容易丟失!

至於日式服務,用了現代商業的標準作業,但敬重客人、以禮待人是來自日本家庭和學堂教養,商業管理只是維持水準,不容疏懶。美國的FBI交接事情,也會約在日式餐廳。因為間隔寬敞,不會輕易聽見鄰座講話,包廂夠隱秘,侍應恭敬之餘,也懂得不打擾客人。日本酒店的早餐奉客的釜飯,侍應會先用手感應一下是否夠熱,否則更換。日本酒店會將下榻的客人食剩的餸菜做成飯糰,給客人外帶備用。下雨的時候,如果是夜市,侍應從傘架取傘,為客人開門和撐傘。高級的餐廳,廚師會目送客人出門,而且鞠躬致敬。這份心意,是令人感動的。


圖四、將鄉間野炊提升到有士大夫野趣的爐端燒。圖片來源


香港飲食如何恢復原貌或提升水準?

目前維持到的香港飲食,都是濃味的市井風。高雅的一段已經被地產霸權和工資政策破壞掉。

香港沒有駐守家園的世家大族,此地的特色飲食只能華洋混雜裏面來創新,戰後初年,能夠從廣州省城和上海租界承接到中等的精緻飲食,已是香港的萬幸!香港戰前的中環灣仔和新界的元朗錦田本來有若干士紳階級,但數量不足,也多數是營商為主,戰後從中國大陸和南洋逃難來香港的文人,也多數要倉促謀生,凡事只能急急而就,未及精細經營。故此香港的飲食本來就是粗俗為主的,再加上點心車、點心紙之類的商業化改造而已。其他華洋混雜的食品如蛋撻、菠蘿油之類,在飲食而已,是不入流的。香港那種崇尚科技化(如只容許用QR code點餐、按鍵取票輪候座位、限制食飯時間為三十分鐘之類)而忽略服務業基本人情世故的劣根性,更是誅殺香港飲食的元兇。

目下的高級酒家酒店的食肆,也是以marketing劏客來維持交租和付高工資——例如在欖角魚鬆炒飯之類的撒上黑松露(雲南的貨)或西班牙黑毛豬火腿之類來mark up價錢,不忍卒睹。


圖五、舊日茶餐廳,也嘗試在高樓底的舖位加設雅座閣樓,稱之為樓上雅座,營造較為寬敞和靜局的待客空間,現在地租昂貴,很多老舖難以維持高樓底舖位的租金了。


如何補救和提升,我說得出問題所在,當然有補救和提升之法。有日本的珠玉在前,最簡單而可以謀利的是模仿日本風格,但華夏大地和香港要行自己的志氣,要行自己的路。清味方面,由於香港農業被政府的房地產政策排擠,又禁止養雞,本地近海撈魚被大陸船歇澤而漁的做法趕絕,粵菜用的蔬菜、肉食和魚蝦難有清味,連做低俗的魚蛋也不行。沒有本地的漁農產品做對照,新一代根本不知清味為何物,外來的劣食照單全收,年輕人以雲南米線代表香港食物就是明證。

筆者在民政局供職期間,曾與上司何志平局長談及香港的飲食風格,他說傳統廣東食肆的裝潢和包點注重「骨子」,即是精緻小巧的意思,即使上環的蓮香樓(今已倒閉)和油麻地的美都餐室(今已倒閉)也不夠骨子,之後他想開個文化沙龍來談,但也沒談出個什麼來。刻下香港公共氣氛黯淡,也無謂談論了。待日後香港解放,我再來談,畢竟,日式飲食風格也是在美國解放日本之後營造出來的。沒有解放之後的自由,連傳統繼承都難做到,遑論創新?


Source: 陳雲

https://www.patreon.com/posts/114742419

Sunday, October 13, 2024

Still using the ‘You are an expert… ’ AI prompt

11 creative ways I use AI that are honestly useful

Created using Meta.ai


I’ve been using AI for a while now. And I see people around me not utilizing the power of generative AI to the fullest. Every other day, I find new use cases of generative AI that help me to increase my productivity and knowledge while saving time and effort. Here are a few uncommon but useful ways to use AI.


1. Find the right medicine: When you are sick, take a photo of all your medicine blister packs and ask ChatGPT to recommend the right one for your symptoms.


2. Reduce hallucinations: At the end of your question, add, “Do a web search and then reply.” This forces generative AI to give accurate answers.

Screenshot by the author using ChatGPT


3. Apply the Feynman technique: After AI explains a concept, summarize the same concept simply in your own words and ask “Correct?” AI will correct you if necessary. This method makes learning so much more engaging and also increases retention.


4. Convert photos to text: This helps save a lot of time, even though there are so many tools available on the web. Using ChatGPT for this task on my phone is very convenient.


5. Embrace the TL;DR: This is a no-brainer. You can use this prompt for a lot of things. Summarize code, texts, emails, book pages, news, articles, and many other things throughout the day.


6. Apply the Pareto Principle: The 80/20 rule is a great way to learn new concepts. Example usage. “I want to learn [topic]. Use the Pareto Principle (80/20 rule) to create a course for me.”.

Screenshot by the author using ChatGPT


7. Ask for movie recommendations: Ask AI to give spoiler-free movie recommendations with reviews based on your preferred genres, actors, languages, etc.


8. Use for web searches: Instead of going to Google, Ask ChatGPT to find something on the web to bypass SEO-optimized articles and get relevant information quickly.


9. Rate my work: Ask ChatGPT to rate anything. This is the prompt you can use for it. “Rate the above [article] in different aspects and suggest how I can improve it in those areas.” I use it to rate my code, articles, understanding, etc.


10. Keep it short: Add, “Give brief, clear answers that include all key details. Be concise but informative.” at the end, to get better answers.


11. Enable Incognito mode: ChatGPT has an option for temporary chat. When enabled, your data will not be saved in history and won’t be used to train the models.


Source: Pranav Mehta

https://generativeai.pub/still-using-the-you-are-an-expert-ai-prompt-3a22215ae188

Saturday, October 12, 2024

我和AI有個比試

話說同道學生有封通告要草擬(圖一)。題目是公司要求庶務員工做管理學訓練。她用AI的ChatGPT來做,我自己打字作文,之後大家比較一下結果,看看人工智能和人的差異。

圖一、通告的要求

AI的平庸之作


AI做的模本是這樣的:

Subject: Launch of e-learning platform for general office staff

Dear Team,

We are excited to announce that we will be launching a new e-learning platform commencing in Q2 2024. This e-learning platform will cover management theories on leadership, innovation, motivation, persuasion, teamwork and emotion management and will be available to all general office staff.

It is designed with the objectives to enhance the skills and knowledge of our team and have better teamwork in the workplace.

The training program will consist of a series of modules that can be completed at your own pace. It is important that all employees complete the training by the end of 2025. A certificate of completion will be provided upon the successful completion of the program.

We are committed to investing in the development of our employees, and we hope that you take advantage of this opportunity to improve your skills and grow with the company. We look forward to your participation.

Best regards,

Human Resources


那是一板一眼,除了責任所在而要看之外,毫無溫暖可言,文采更是欠奉。


陳雲的四分鐘平庸之作


我用了四分鐘來打字,雖然離開公務十幾年,這些公文以前在珠海書院英文系教過兩年,故此一揮即就。

以下是我草擬的通告:

Dear colleges,

Do you want to keep you young, attractive and full of vigour?  And appear smart and trendy among your peers?  So do our company!  Our company has to be fit during these challenging time and be smart among our competitors.

Spring has passed and summer season is coming.  We need to brush up our skills, sharpen our mind and make better use of our emotion. We are arranging a managerial gym session for all general staff.  Training will be on-line, which includes leadership, innovation, motivation, persuasion, teamwork and emotion management.  There will be a face-to-face sharing and coaching session afterwards. Details are as follows:


Q2 2024 E-Learning Sharing and Training Session

Date:

Time:

Place:

Coach:


We will appreciate for your commitment to it.  Refreshment will be provided during breaks (will be plenty!) and useful souvenir will be awarded to all participants.

Looking forward to seeing you. 

Yours sincerely,

HR


E-learning 平台的詳情,我沒特別講,因為既然經常要做,就另行用email告知習作的連結。此外,我改了一下要求,設立多了一個事後的sharing and coaching session。 因為這些e-learning如果沒有面對面的總結和交流,是難以保證成效的,也令員工討厭公司。當然,這樣做就要先向上級建議更改,如果自己就是主管,當然自己作主啦。

以前在香港中文大學英文系的寫作課(English Writing),讀了一年,教科書有三本:Elements of Style, The King’s English 和The Complete Plain Words.  那是為培養英國公務員寫作的寶典。為了香港學生而設的文法書是Michael Swan的Practical English Usage.  我用功最深的是公務員寫作指南The Complete Plain Words,十幾年前在《中文解毒》第二冊介紹過。該書第三章的公文三要旨是:Be simple,be short,be human.

我用四分鐘打字草擬的通告,就用這三要旨,特別是be human。因為這種逼人參加的訓練營,必須要顯得人情溫煦,給社畜一點尊重。行文略有一點英國詩或散文的節奏,用字則以Anglo-Saxon的本地字為主(fit, smart, trendy, skill, mind之類),避免Latin來的英文衍生字(除非是refreshment,因為比snack看起來多些花樣),將人性化提高。

為什麼AI只是平庸之做呢?因為來自大數據,而大數據都是波茨曼曲線的中間狀態,故此只能是平庸(mediocre)。(參考本欄文章:ChatGPT可以取代平庸及製造平庸——ChatGPT答案文本的哲學分析(一)Mar 5, 2023)為什麼不能採用作家或公文高手的作品呢?因為首先是樣本少,而且好多是幾十年前、甚至一百年前留下的,必須要將之革新才可以用。其次,好的公文都是特別tailor-made的,不能隨便挪用到其他情景啊。


Source: 陳雲

https://www.patreon.com/posts/wo-he-aiyou-ge-113860007

MIT教授指AI只能取代5%工作,熱潮或引發股災

 

圖片來源:美國麻省理工學院經濟學教授認為未來十年只有5%的工作會被AI取代,同時過度炒作AI最終將引發股災,帶來經濟災難。(圖片來源:光明日報)

現在的AI與二千年初期的科網一樣,都是概念股,圈錢用的。筆者早前拍片提醒大家,人工智能(AI)亦有其限制——耗電、出錯、法律責任由企業主負擔,到衰退進入確定階段,工資下降,AI熱潮就會減退,回到正常的使用,故此毋庸過分驚懼它來搶飯碗。無獨有偶,最近美國麻省理工學院(MIT)應用經濟學教授阿傑姆奧盧(Daron Acemoglu)亦指出,未來十年只有5%的工作會被AI取代,而這5%的改變不會帶來經濟革命,同時那些巨額資金石沉大海;至於過度炒作AI最終將引發股災,帶來經濟災難。

對於近期的大型語言模型(LLM)例如OpenAI的ChatGPT,阿傑姆奧盧認為雖然白領工作令人印象深刻,但目前的技術仍然稚嫩,既不可靠,智慧或判斷力亦與人類有很大距離。故此他判斷,無論體力勞動的行業如清潔、建築行業,又或是一般白領工作,AI在短期之內無法取代人類。


AI狂熱或如千禧年科網股災,企業人財兩失


對於AI的將來,阿傑姆奧盧認為有三個走向。一是熱潮逐漸冷卻,除了個別科企,AI技術對大部分企業來說只是輔助性質。二是AI狂熱最終引發類似千禧年的科網股災,投資者和科技業界對AI不再存有幻想,甚至棄如敝屣。第三種就是企業魯莽地投入千億計的資金發展AI同時不斷裁員,最終發現AI根本不能取代人類,只好再度聘請員工來重新訓練,惟此時公司已因投資AI失利而負債累累。他認為發生第二種和第三種情況的機會最大,尤其企業高層過分憂慮錯過AI熱潮,忽略當中的炒作和投機成分:「熱潮加劇時,市場不會溫和地下跌。」

雖然阿傑姆奧盧不是科技專家,但他有豐富的經濟知識,加上學者身分,所以說話不用拐彎抹角。至於他提到LLM的不足之處,想深一層,也是吊詭。去年年底《紐約時報》控告OpenAI和微軟在未獲授權情況下,以其文本來訓練AI;今年四月,美國八間報館向紐約聯邦法院提告,指控ChatGPT製造商OpenAI和微軟在未經許可或未付費情況下,以他們數百萬篇受版權保護的新聞文章來訓練聊天機械人(chatbot)。

這對於被網絡新聞蠶食收入的傳統報館來說是有利可圖的,不過筆者想提出的是,訓練LLM需要高度可靠的資訊,但在今日新冷戰下資訊戰的年代,假新聞充斥,辦報的全部都是生意人,傳媒成為權貴階級或傀儡政黨的喉舌(四年前美國總統大選,共和黨特朗普被所有社交平台封殺;中國的聊天機械人的言論更被中共審查),AI可以從何學起?現在看來,未來最有可能出現的,是阿傑姆奧盧提到的第三個方向。


Source: 陳雲

https://www.patreon.com/posts/mitjiao-shou-zhi-113848384

Sunday, October 06, 2024

絕對令人震驚!德國病理學家觀察,新冠病毒疫苗注射引發急性癌症,認為mRNA疫苗技術測試不足夠

 

圖一、早在二〇二一年,伍德·克魯格(Ute Krüger)女醫師已公開發言。

移居瑞典工作的德國高級病理學家伍德·克魯格(Ute Krüger)女醫師在瑞典多個門診發現,在新冠病毒疫苗注射之後,急性癌症病例爆發急升,而且頗多在年輕人身上發生,此事頗為罕見。她有二十五年臨床經驗,專科是乳癌。她發現在二〇二一年秋季之後,三十歲至五十歲的病人爆發乳癌,腫瘤很大,而且多塊腫瘤和雙乳房同時爆發,這是在mRNA疫苗注射之後的幾個月。

幾個月之後,她得到醫生同事和親戚的電郵,報告有急性癌症。她匯報到瑞典醫學會,但沒有回應,她做了國際呼籲,但只有一名澳洲醫生願意合作觀察。

克魯格醫師在大學期間精研死因研究,二〇二三年十月,英國研究十五歲至四十四歲的死亡率,發現頗為年輕的人民死於癌症,這是以前罕見的。婦女患上乳癌的比例上升28%,胰臟癌在女性上升80%,在男性上升60%,此外,黑色素瘤(Melanoma)上升120%。(瑞典話的訪談,有英文字幕)

二〇二一年以來,德國的研究報告顯示,過去四年的死亡率看來,在新冠病毒的流行的第一期,當時並無疫苗,死因是感染病毒和相連的疾病,在流行病的第二年和第三年,死因頗多是與感染病毒無關。該研究報告認為,注射疫苗愈廣泛的聯邦州,額外的死亡率愈高。流行病第三年,在柏林、勃蘭登堡和薩克遜州的額外死亡率是5%至 6%,在不萊梅和沙倫州(Saarland),由於注射比率較高,額外的死亡率是11% 。


官方死因裁定全部與疫苗無關,家屬將遺體組織呈交獨立病理學研究所化驗

二〇二一年,她遇上醫學博士阿妮·布克哈特(Arne Burkhardt),一位非常稱職的病理學家,他與律師lmar Becker一齊研究疫苗注射和死亡率的關係,然而,由於全部歐洲的醫院的法醫都認為死亡與疫苗無關,故此不得要領。不滿政府的家屬要求將死者的遺體組織拿去給布克哈特博士化驗。後來病理學家華爾特·朗格博士教授(Walter Lang)加入,二〇二一年在Reutlingen病理學實驗室共同研究。發現八十九個呈交遺體組織樣本的案例之中,四分之三的死因與新冠病毒疫苗有關。例如打了幾針的死者的人體組織是嚴重損毀的,比較起那些只打一針而死的人而言。超過一半的案例,死者的心臟肌肉發炎,最年輕的是十六歲的女學童。已知道的,是疫苗引起心肌炎,然而輝瑞疫苗的副作用研究報告低估了後遺症。

圖二、克魯格醫師在《柏林日報》撰文,這是google英文翻譯的截圖。


疫苗令歐洲生育率下降百分之十

另一個令人震驚的是出生率。依照常理,封鎖和在家工作期間的生育率該高一些的,但事實並非如此。二〇二二年,歐洲的生育率下降了10%,布克哈特的實驗室發現,女性死者的卵巢有刺蛋白(spike protein),很可能有發炎而引致不育。男性死者的組織解剖層片發現,精子數量明顯減少,這些變化都顯示為何流行病期間的生育率震驚地減少。

現在已經公諸於世的德國微生物學研究所羅伯特·科克研究所(Robert-Koch-Insitut)有關危機管理的機密文件顯示,政客推出的新冠病毒流行病的種種措施,毫無科學根據。

鑑於政治干擾醫學,伍德·克魯格醫師認為醫院違反do no harm的醫師誓詞,目前已辭去瑞典門診所的工作,從事整合醫學(holistic medicine)的私人執業。


按:我用了三日時間,將德文報導編譯及總結,並查考過報導提及的相關報告。相當可靠,也相當令人震驚。基於面書的審查顧慮,我不在面書傳閱此德文報導。


Source: 陳雲

https://www.patreon.com/posts/jue-dui-ling-ren-113472341

Monday, September 23, 2024

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

Wednesday, September 18, 2024

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

Monday, September 16, 2024

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

Saturday, September 07, 2024

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

Saturday, August 31, 2024

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/

Thursday, August 08, 2024

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

Wednesday, August 07, 2024

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

Monday, August 05, 2024

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

Monday, July 29, 2024

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

Monday, July 15, 2024

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