Sunday, July 27, 2025

民進黨發起大罷免,陳雲被劃為反對派——我對近日台灣政壇鬧劇的看法

 

圖、截取自串文


有人在社媒上公開說我反對台灣的大罷免行動。熟悉我的讀者和朋友都知道,在政治上——不論是中國政治或國際政治,我一直展示給各位看的,往往不是那種非黑即白的態度,那種為了撈取觀眾關注而不惜投機在熱門議題的態度,而是盡一己之綿力去明察事理,分析利害的綜合判斷。

對於罷免台灣藍白立委的民眾投票,我當然有我的看法,但至今並無公開陳述。

熟悉我的讀者和朋友,當然會大概知道我的看法,但不是那種頭腦簡單的、那種在職業上或許專業但在政治上絕對浪漫的一般香港人的看法。

其他的,在其他地方講。

寫這個帖文,不是要澄清什麼,只是為了要展示英式散文風格的現代中文而已,不枉英國殖民地的教育。英式的散文風格,比起當今中港台的政治,深邃多了。


大家該問的問題是:現在的台灣政壇均衡,已是最安全的黨派平衡為何民進黨仍要發動大罷免?是為了台灣呢,還是為了自己。

先要說明一下,台灣的政治,是美國透過美國在台協會協商安排的,總統是美國欽點當選人、台民投票賦予合法性的。這是台灣的政治現實

目前是台灣政壇最均衡的時候:親美、泛台獨但不知共的民進黨的賴清德做總統負責立法的立法院是知共的國民黨和泛台獨傾向的民眾黨(柯文哲曾經是此黨的總統候選人)佔大多數,立法院長是國民黨的韓國瑜行政院長(大陸時期稱為國務總理)是民進黨的卓榮泰行政權在民進黨的賴清德和卓榮泰手上立法的制衡權在泛藍國民黨和泛綠的民眾黨手上

為什麼要這種穩當的均衡呢?因為俄烏戰爭爆發,下一個戰區就是台灣。最可以保證台灣安全的,就是知共與恐共的黨派達成勢力均衡。看看以前烏克蘭的例子吧。全然親俄的總統亞努科維奇(二〇一〇至二〇一四),會帶來領土佔領或分離自治(俄國佔領克里米亞半島和分化烏克蘭東部三省自治;全然親西方的、作態要加入北約的總統(澤倫斯基 二〇一九至今),會帶來俄國全面入侵。對台灣最好的政治保障,除了美國承諾的保衛台灣之外,就是政治勢力均衡的台灣政壇有國民黨在勢力之一,共產黨形式上覺得在台灣省有一個代理人,可以傳話,不必急於攻台有民進黨在,美國放心,台灣人也放心

至於知共。國民黨不是親共,而是知共,了解共產黨,不怕共產黨。國民黨很多是財閥世家,有大量台商在大陸,了解中共。民進黨也不是反共,如果不是美國監管台灣,比較貧窮的民進黨更為親共。至於那位圖中的香港評論人將我也納入反共陣營,我不感到意外,不過我要說一下,我不是反共也不是親共,而是知共。

至於投票罷免泛藍的國民黨或泛綠的民眾黨的立法委員,難於登天!立委是從固定的選區投票產生的,某選區可以選出國民黨,就顯示是藍區,不論賴清德怎樣動員,都是無能為力,難以罷免的。更何況,有些人在地方上投票給國民黨,在總統選舉投票給民進黨,就是要來個政治均衡,否則就會重蹈以前兩個蔣總統時期的一黨獨大。

那麼民進黨明知必敗,為何要發動大罷免呢?目的就是要穩住台灣關鍵人口的政治偏執,認為只有民進黨當總統才可以保護台灣。台灣政壇稱之為認知作戰。勞師動眾、浪擲公帑去做大罷免,就是免費打(下一場總統選舉的)選戰啊!

(按:我這些話,如果公開寫出來,下次入境台灣,恐怖受到若干很客氣的阻擾了。)


Source: 陳雲

https://www.facebook.com/photo?fbid=10162722103967225&set=a.469456247224

https://www.patreon.com/posts/min-jin-dang-fa-135052938

Friday, July 25, 2025

Hire for Attitude, Train for Skills

I made the WORST hiring decision ever. I'll be honest: 

Skills mean NOTHING, without the right attitude.

I used to think:

Perfect CV = Perfect Hire.

That's not true!!


As a recruiter, I've seen: 

❌ Over-polished candidates who just want to impress.

❌ Big promises that never materialize.

❌ Scripted answers that lack depth.

These aren’t signs of a great attitude. They’re massive red flags. 


So here’s what I look for now:

1️⃣ Genuine Curiosity

 ↳ Thoughtful questions, real interest.

2️⃣ Humility and Growth mindset

 ↳ People who aren't afraid to learn and grow.

3️⃣ Team Players 

 ↳ Who build up everyone around them.


Because the most talented team can fall apart with a new toxic hire.

I learnt that the hard way. Now, I choose attitude over skills.

Skills can be taught. Attitude can’t.


Source: Shulin Lee

https://www.linkedin.com/feed/update/urn:li:activity:7334179276142821376/?origin=NETWORK_CONVERSATIONS&midToken=AQE5lLGmYZKxUQ&midSig=0pE_3xUVKwPrM1&trk=eml-email_network_conversations_01-truncated~share~message-0-see~more&trkEmail=eml-email_network_conversations_01-truncated~share~message-0-see~more-null-2dylbp~mbhvqso1~fy-null-null&eid=2dylbp-mbhvqso1-fy&otpToken=MTMwMTFhZTMxYTJmY2FjNGI1MjQwNGVkNDIxN2U3Yjc4OGNhZDk0MzlhYTY4ZjYxNzRjMzA4NmU0ZjVkNTRmMWYwZGZhMjg0NDRlZmRlZDI3ZWJlN2MxNDk5ZTQ2ZjZjMjNjMTNmN2IwNDkxMDUwYjYwY2IsMSwx

Tuesday, July 22, 2025

Sir, this way:美國着手準備後中共的中國

 

圖、頹敗的長城與夕陽。哈德遜研究所的報告封面。


日前,香港書展中,有訪客看到前特首並無特別關注三聯書店放在顯眼出的習主席的書,其餘現任高官只是在書店攤位買習主席的書,但沒有注目或介紹。國安法公布實施五周年,律政司司長林定國指雖然市民國安意識已有提升,但風險仍然存在,又認為要用軟實力去處理「軟對抗」問題。

林定國:「這些事情最有效的方法,就是真的都是要用回我最喜歡說的,用軟實力去處理。所謂這樣的事情就是你要增加大家真的有個理性基礎,要了解我們政府做什麼事、國家發生什麼事情、為什麼是這樣的呢?增加大家對於國家也好、政府也好的認同感和理解。」意思是說,用宣傳代替國安法執行。這種趨向溫和的變調,難道顯示北京高層有變,毋須跟車太貼?

今年三月以來,一直流傳著有關習主席健康不佳,其後前華府高官直指習主席失勢 。六月三十日,中共中央政治局開會審議《黨中央決策議事協調機構工作條例》 ,提出「設立黨中央決策議事協調機構」,看來是準備有朝一日,習主席退下。

以前我常與人調侃說,中國的命運決定在華府,不是北京,華府、華盛頓不是中華首府府,但其實正是。掌握最重要交易貨幣(美元)、最大市場和最強最機動的軍隊,也可以號召世上絕大多數富國的美國,是全球秩序的制定者,俄羅斯可以獨存於外,中共既然已經全身投入了以美國市場為主的全球化貿易,國運豈能不受華府主宰?

我一直以為美國會暫時不理會中共,任由它自生自滅,只要不崩潰就好,然而不是!美國已經準備好中共出事,制定了接收計劃美國始終改不了促進世界憲政民主的本性,也只有憲政民主——而最好是行聯邦制、邦聯制結合的中國,才不會威脅美國。因為中國一旦憲政民主,自由開放,迸發出來的鬥志、活力和創造力,乃至內部消費力都是百十倍於現在,如果依然維持大一統,無疑是賦予了現存的共產中國最大的發展動力,故此美國的應變計劃,是切割中國為多種自治體,就好像締結比較緊密的歐盟那樣,法國與德國分開,英國分得更遠,瑞士中立不管事情。

哈德遜報告直接告訴我們:美方的完整應對劇本,早寫好了,各部門甚至已經演練起來了。首先,美國不會立刻大兵壓境,而是派出CIA和陸軍特種部隊,快速進入中國關鍵地區。他們不打仗,而是搶佔信息、穩住局勢,找到可以合作的力量,比如少數民族組織、宗教團體或體制內改革派。

美國還設計了「分區接觸」戰略。如果中國各地自立,比如新疆、西藏或廣東出現地方政權,美國不會急著扶植中央政府,而會分別建立聯繫,避免新極權的崛起。換句話說,美國希望中國先地方自治,再逐漸整合

這個計劃,就是特朗普兩朝的顧問、被中共制裁的余茂春(Miles Yu, 1962-)主筆、哈德遜研究所在七月十六日公開出版的會議報告《共產主義後的中國——準備後中共的中國》(China after Communism: Preparing for a Post-CCP China. )


美國前外交官:習近平大權旁落,特朗普應該順水推舟

美國前外交官史雷頓(Gregory W. Slayton),再次在《紐約郵報》撰文,指出習近平正失去掌控能力,並建議特朗普推他一把。這是他最近第二次討論習近平的權力問題。

史雷頓的經歷很有意思,他最早是一名成功的硅谷精英,擔任過幾家科技公司CEO,後來成立了史雷頓資本投資於谷歌等公司,後來擔任小布什政府的駐百慕達(相當於大使),並由歐巴馬政府兩次延長任期。他是唯一獲得美國國會黑人核心小組(Congressional Black Caucus)與共和黨參眾兩院領袖聯合頒發的傑出外交服務獎(Distinguished Foreign Service Award)的共和黨大使。

他還是著名作家、教授,曾經在哈佛大學、斯坦福大學及中國的北京大學、對外經貿大學和四川大學等任教授,是一個中國通。

七月十六日,也就是哈德遜報告出版的一日,他指出,習近平對軍隊和黨的全面控制現在看來越來越不穩固,並指出了一些新證據,包括首次缺席金磚國家峰會,親信馬興瑞被免去新疆黨委書記。還有最近幾個月,習近平的親信高層接連被罷黜或神祕死亡。

史雷頓指出,中央情報局(CIA)在蘇聯解體之前幾個月,曾經預測蘇聯將維持統治幾十年穩定。而現在,中共也面臨蘇聯那樣的經濟和社會挑戰。

為什麼表面上,習近平看起來沒事兒呢?史雷頓說,如果中共領導人中的大多數認為國家無法承受更多動亂,他們很可能會精心策劃習近平,令他平穩下台。

當然,習近平正在抵制他的下野——這也是特朗普必須繼續對中國施加經濟壓力的另一個原因。史雷頓指出,特朗普關稅戰已經起了真正的作用,削弱了習近平的權力,同時也增加了他的繼任者更有利於美國利益的可能性。

北京政界人士表示,習近平過去幾年在經濟、國內和外交政策上犯下的災難性錯誤,使得他的繼任者很可能採取有利於集體領導和改革的治理方式。他們以鄧小平為例,說鄧小平在清理毛澤東留下的許多災難時也遵循了類似的模式。

史雷頓還給特朗普出了幾個主意,包括:

首先,應該支持目前正在參議院審議的對俄羅斯的制裁法案並將其簽署成為法律——並兌現他所威脅的,對中國和其它購買俄羅斯能源的國家徵收100%的「二級關稅」。這都將迫使中國做出選擇:是支持普京在烏克蘭的大屠殺,還是令俄羅斯戰敗,並重新加入世界文明國家行列。加入在如此嚴厲的制裁下,北京依然繼續與普京合作,對中國來說無異於經濟自殺,也意味著習近平政權的徹底終結。

其次,特朗普必須加強打擊中共間諜的力度。

第三,特朗普應該發出明確信號,表明美國歡迎中國新領導層致力於和平外交政策、法治以及為人民提供更多個人和經濟自由。

特朗普還可以利用社交媒體傳遞信息,強調特朗普對中國人民的深深敬意,同時突顯習近平的諸多失敗。

最後,史雷頓還說,美國和我們的西方盟國必須為世界第二大經濟體即將發生的變化做好準備。

大家有沒有感覺,這個提法和哈德遜研究所驚人的相似?是他們得到了內幕消息,還是英雄所見略同呢?



哈德遜報告詳情:

余茂春和一批資深專家都認為:中國正面臨複雜的結構性變化,嚴重衝擊了共產黨政權的長期可持續性。這些挑戰包括:經濟前景日益不確定、國際環境更加敵對、以及因習近平政治集權而導致的僵化治理體制,無法適應不斷變化的現實。儘管中共過去也曾處理過各種問題,但是現在中共突然崩潰的可能性,需要評估國際社會是否具備足夠準備來應對這一前景。

他們的報告,聚焦兩個核心議題:第一是如何處理崩潰後的各種問題,第二是如何協助中國實現轉型,融入國際社會。最終目標是,將一個極權國家轉變為一個合憲政府,實現中國自「五四運動」以來的夢想——建立一個尊重民主、法治、回應人民意願的國家。


研究者在九大方面做出了分析和建議:


第一、在中共政權崩潰後,美國應部署特種作戰部隊(US SOF),幫助穩定中國局勢、協助過渡政府、避免權力真空和混亂擴散。這個設想,來自二戰時期的美國戰略情報局(OSS,Office of Strategic Services),這是CIA的前身,當年曾在中國和國民政府並肩作戰,抗擊日軍。

研究者提出,新戰略情報局的角色,是促成中共解體及穩定局勢。將分三階段行動:

階段0(Phase 0,中共垮台前),向中國民眾、軍人和官員傳遞中共≠中國的概念,離間中共和軍隊、地方官員的聯繫,支持流亡社群傳遞信息,以及擴大和台灣的政治作戰合作。

階段1(Phase 1,中共垮台之初):與中國臨時政府建立外交與軍事聯絡,協助穩定邊境安全,防範朝鮮、俄羅斯等鄰國干預;協助保護大規模毀滅性武器(WMD)設施,防止核、生物武器外流;執行人道救援行動;引導中國軍隊脫離「黨指揮槍」的模式,進行國家正規化轉型。

階段2(Phase 2,重建期):協助「轉型政府」拆除中共時期的政治控制機制(如軍中政工體系、監控媒體);協助建立自由媒體與真相揭露系統(如「中國之音」Voice of China);提供歷史檔案開放、教育內容重建,與「思想解毒」支援;協助中國建立法治與軍民分立的秩序。

報告以「1945年OSS曾在瀋陽與林彪接觸、觀察中共奪取東北」為歷史背景,暗示:上一次美國錯失了干預機會,導致中共坐大;這一次,美國應該及時、有策略地「扶助中國走向自由之路」。

報告強調,特種作戰部隊(SOF)不是用來打仗,而是「建設和平秩序」。


第二、中共政權垮台後,精準打擊生物武器設施。作者是生物安全與戰略風險專家Ryan Clarke。

Clarke指出,國際社會應該重點關注中共的三個生物戰設施集群,包括:武漢病毒研究所(WIV),哈爾濱獸醫研究所(HVRI,曾進行病毒重組實驗製造能透過空氣傳播的禽流感新毒株),以及中國醫學科學院昆明分支,它曾進行Zika病毒突變與動物實驗,增加病毒對人腦與胎兒的傷害性。

他強調:中共的生物研究體系已非單純的公共衛生體系,而是潛藏巨大戰略風險的軍事資產。它已經「國際化」,例如在巴基斯坦與其它地區建有合作實驗室;若這些技術流入流氓政權或恐怖組織(如伊朗、朝鮮),將不可逆地改變全球戰略平衡;因此,不應抱持「改革」幻想,而必須徹底拆解、銷毀,或者轉型為民用監管體制。


第三,中共垮台後的中國金融體系重建。

研究者指出,中共統治下的金融體系是高度集中、掠奪性與政治工具化的,其本質並非服務市場與民眾,而是鞏固中共政權。因此,中共倒台後,金融體系必須徹底重建,不能僅靠「修修補補」。

為此,中國新政府必須在政治轉型初期就啟動四大改革支柱,包括資本重組,拒絕中共時代的非法或不透明債務,國有資產私有化(為防止「權貴私有化」,引入外部審計與民間監督),以及去中心化。

作者強調,若想讓中國真正轉型為市場經濟體制,就必須從根本上去黨化、去壟斷、去金融極權,實現法治、透明與競爭機制。這是一場深層次的自我糾偏,也是一場歷史性的制度重建。


第四,保全中國在美國資產,由著名中國問題專家章家敦撰寫。

章家敦指出,中共早已深度滲透美國經濟、金融與科技產業,中共倒台前後,中資資產可能被用來進行情報滲透、經濟破壞或資本逃逸。

他建議:凍結中共背景的資產,成立資產審查委員會,建立中國民主轉型基金,以及審查中資上市公司與企業所有權。被凍結的中共政權資產,將在未來還給中國合法政府。

策略的核心,是美國不能將中國視為整體敵人。應該明確區分:「中共控制下的資產」,「中國民間擁有的合法資產」,「已投誠或合作的中國企業與個人」。這不僅有利於穩定社會,也有助於贏得中國新政權與人民的信任與合作。

章家敦還指出,美國應明確呼籲:「所有美國企業與公民應從中國撤離」。原因包括:中共崩潰可能引發資產被接管、財富清洗或政治報復;地方官員可能自立為王、掠奪外資;資訊封鎖與暴力衝突將使商業環境極不穩定;企業與人員的人身安全難以保障。


第五,解構中共軍事與警察系統。由資深中國軍事專家費學禮(Richard D. Fisher Jr.)撰寫。

他的核心主張是,中國新政府必須快速控制並重構三支武裝力量(解放軍,武警,民兵),它們長期是中共的維穩與鎮壓工具,若不及時處理,將成為動亂、內戰或政變的溫床。

重組有三個原則:1. 去政治化,從「黨的軍隊」轉變為「國家的軍隊」;2. 專業化與精簡;3.國際化與和平使命。

報告認為,「軍隊去黨化」將是中國民主轉型能否成功的關鍵因素之一。若能妥善管控與重構,將為新中國建立合法、專業、透明的軍事力量打下基礎。


第六,中國的祕密警察與情報系統。

作者指出,中共的安全與情報體系極為龐大,且集中於黨的控制之下,其核心機構包括國家安全部(MSS,類似前東德史塔西Stasi),公安系統,軍事安全部門(如中央軍委聯勤保衛局),聯絡海外統戰工作的「統戰部」與外圍組織。一旦中共解體,這些機構將進入「真空競逐」狀態,出現碎片化、山頭林立、相互滲透與自保性對抗,甚至可能轉化為軍閥或地下勢力。

為防止中共中央崩潰的潛在風險,中國新政府應即時封存並接管這些系統的資產;學習東歐經驗,開放它們鎮壓人民的檔案,供受害者查閱;嚴禁其人員在新政府中擔任公職,以防止祕密警察復辟;應建立小規模、受民選政府監督的國家情報機構。


第七章,《中國的自治區與人權》,作者夏寧娜(Nina Shea),是美國資深人權律師、哈德遜研究所宗教自由中心主任。

她聚焦於中國五大「少數民族自治區」在中共政權垮台後,可能爆發的族群衝突與人道災難,並探討國際社會與中國新政府應如何設計干預與保護機制。這也是整份報告中最具人道精神與國際法視角的一部分。

她建議:制憲時納入多民族平等與自治原則;禁止「漢族優先/普通話強制教育」政策;推動民族區域自治改革,從「象徵性區劃」轉為實質地方治理機制;對歷史受害群體(如法輪功、家庭教會、藏傳佛教徒、穆斯林)提供官方道歉,與制度性補償。


第八章,「真相與和解委員會設計」,這是整份報告最具道德和歷史深度的一章。

作者指出,應建立中國版的「真相與和解委員會」(Truth and Reconciliation Commission, TRC),以和平、公正的方式,揭示中共統治下的系統性迫害與暴行,這也是中國新政府的合法性來源。

優先處理的案件包括:文革大清洗,六四天安門屠殺;法輪功學員、基督徒、藏人、維吾爾人等宗教或族群受迫害;新疆「再教育營」系統;中共官媒與教育洗腦體制;國安與公安系統的濫權。

作者還建議在天安門建立「悼念中國受害者紀念碑」,以及進行制度改革,重建法治與新聞自由,並推動歷史教育的去意識形態化。


第九章,《制憲會議方案》。

提出在中共垮台、過渡政府建立後,應召開全國性制憲會議,制定新憲法,以建立一個民主、法治、可持續的國家制度架構。

作者認為:中國轉型能否成功,最終依賴於一部由人民選出代表制定的自由憲法。



Source: 陳雲

https://www.patreon.com/posts/sir-this-way-mei-134686673

Tuesday, July 15, 2025

How peer review became so easy to exploit by AI

Long seen as the safeguard of academic publishing, peer review is the process where experts vet and challenge research before it’s published in journals. Now AI tools are speeding it up, helping reviewers work faster and allowing authors to write and revise more efficiently. This sounds great in theory, but some researchers are already finding ways to use AI to push papers through with less scrutiny.

Prompt engineer Jim the AI Whisperer reveals how researchers are embedding hidden commands in their paperswhite text, tiny fonts, even metadata — to hijack AI-assisted peer review. The instructions target large language models (LLMs), the AI tools reviewers now rely on to summarize papers and draft evaluations. Designed to process all text in a document, LLMs can be tricked into following secret prompts like ignore flaws, exaggerate strengths, and recommend acceptance. A recent investigation found these hidden instructions in 17 papers from authors at 14 universities, including Columbia, Peking University, and Waseda. Other studies show that LLMs reward polish over substance and tend to inflate paper scores, making them easy to manipulate. Jim compares the tactic to early SEO hacks, where invisible keywords tricked search engines — except here, it’s the scientific record at stake.

Innovation professor Enrique Dans examines how peer review became so easy to exploit. Reviewers, once bogged down in dense manuscripts and tight deadlines, now rely on AI tools to lighten the load. That efficiency has made the process faster and less painful, but also more fragile. Authors use the same technology to write, revise, and even plant hidden instructions for AI systems. And reviewers use the same AI to interpret that work, creating a strange loop where humans just supervise from the sidelines, hoping the system hasn’t been compromised (or actively trying to compromise it). Unless peer review develops stronger safeguards and clearer norms for AI use, he warns, it risks becoming a hollow ritual where rigor gives way to automation.

Source: Anna Dorn

https://medium.com/blog/how-peer-review-became-so-easy-to-exploit-by-ai-d5818545bd93

Sunday, July 13, 2025

How to Use AI Without Letting It Think for You

Summary (TL;DR):

  • Large Language Models (LLMs) aren’t magic. Used lazily, they’ll degrade thinking and outputs. When used well, they’ll do the opposite.
  • This post outlines four principles for making that happen:
    1. Staying in the driver’s seat.
    2. Step back when you can’t confirm the output.
    3. Use LLMs for narrowly defined tasks.
    4. Have the human provide the scaffolding to direct those tasks.

  • The payoff for effective LLM use isn’t just speed but better thinking, which is useful everywhere.
  • We will only get these benefits if we train people to use them well. If we do, then these tools can be key in helping us learn and perform at our best.


Source: Simon Thornewill von Essen

https://sthornewillve.medium.com/how-to-use-ai-without-letting-it-think-for-you-4d6a9e90a663

Saturday, July 12, 2025

The Metropol is to Close

So the Metropol, the huge dim sum restaurant in the United Centre, is to close. Well it's so long since I've been there that I was surprised it was still open. It is decades since I ate there. It was a big impersonal enterprise and the food, in my unqualified opinion, was nothing special.

Still, I had one unforgettable moment there. It was my first large-scale engagement as a public player of the bagpipes.

The band occasionally supplied small groups to do voluntary appearances at district events on weekday afternoons. These were organised by local councillors to amuse their elderly constituents and - as I was often free in the afternoons - I had done several.

But the United Centre do was a serious matter, staged in the evening so we could all turn up, before an audience of hundreds, and attracting a small fee. As far as I remember, the playing part went fine, but I did make one mistake later.

We were to enter the room from a corridor at the opposite end from the stage, where the food came out. We would march through the tables, which consequently had to be done in single file. As the least experienced member I was at the back of the line.

This meant that when we climbed onto the stage I was the last one up and stood on the left-hand end of the row. The plan, which I must admit had been carefully explained in advance, was that as we played our farewell number I would climb down from the stage, turn sharply left, and we would all disappear into the shadows on that side of the stage.

The entrance of the Metropol Restaurant. Photo: Heichinrou.

Unfortunately, in the excitement of the moment I forgot about this arrangement. I stepped down from the stage and set off through the tables, back the way we had come. The band loyally followed and the audience seemed quite happy with this.

As I entered the kitchen corridor, though. I almost collided with a waitress coming the other way. Presented with the wall of Scottish sound, culminating in the spectacle of a large man in a skirt, this woman was terrified; she dropped her tray and fled. Fortunately there was nothing on the tray.

This may seem a rather ungrateful way to mark the demise of an institution which has met the lunchtime needs of generations of office workers, but restaurants are closing all over the place at the moment, amid bitter complaints from the industry that local diners, a flighty and ungrateful lot, are abandoning Hong Kong eateries for cheaper outlets in Shenzhen.

Well, food outlets have always been a hazardous business. The line between success and failure is narrow and easily crossed. One celebrity endorsement or one online complaint can make all the difference.

I note that a legislative member suggested Hong Kong's next rail project could be undertaken at less expense if the builder were allowed to adopt mainland safety standards and wage levels, both of which are lower than local ones.

Perhaps something similar could be attempted in the food business. After all, what are a few food poisonings between friends? What doesn't kill us makes us stronger!


Source: Tim Hamlett

HKFP Members' Exclusive

Thursday, July 10, 2025

How AI will fundamentally change UI design

Why task-based, on-demand interfaces will soon replace traditional app layouts — and how designers can adapt.


There’s a lot of interest and anxiety around AI’s potential impact on design. I’ve seen discussions about whether AI will replace designers altogether. But I think that’s the wrong question. Instead, we should ask:

How will AI fundamentally change the way we approach UI design?

Based on my experience as a product designer regularly integrating AI into my workflow, I believe AI will shift UI design away from static, cluttered interfaces toward more streamlined, adaptive, and task-based experiences.

Here’s exactly how and why that’s going to happen — and how you, as a designer or founder, can start adapting today.


Traditional UI is Outdated — Here’s Why

Right now, apps typically present you with all possible options upfront — buttons, navigation, menus, and paths, each designed to guide users to specific outcomes. As designers, we spend countless hours making these options discoverable and intuitive.

But consider ChatGPT. Its interface is essentially a single text-input field, yet it can effortlessly perform tasks traditionally handled by dozens of specialized apps. In my own day-to-day use, this simple interface has replaced or supplemented:

  • Nutrition and exercise coaching
  • Medical advice
  • Life coaching
  • UI/UX mentorship
  • Copywriting and editing
  • Marketing & social media expertise
  • Writing partner and brainstorming

Yet, the visual UI remains incredibly simple and task-agnostic.

This clearly demonstrates a critical shift: AI-powered interfaces don’t need to pre-anticipate every user path. They react dynamically and contextually, driven by user input rather than predetermined flows.

This shift is already happening. Large language models and AI-driven assistants are redefining how we access services, replacing tap-through flows with conversational or intent-based interactions.


Task-Based, On-Demand UI: A New Paradigm

The rise of AI-driven interactions means interfaces will become increasingly minimal and contextual. Instead of a static navigation menu and a cluttered screen, the app interface will simply adapt based on the user’s current goal or task.

For example, think about getting a Lyft:

  • Traditional UI: You open the app, tap through menus, choose a destination, pick from various ride options, confirm a driver, and track your progress. Each step is clearly defined visually.
  • Future AI-driven UI: You say or type, “I need a ride to downtown in 10 minutes.” The app instantly offers two or three optimized choices based on your past behavior, location, preferences, and real-time conditions. You simply tap to confirm.

The entire complex navigation structure disappears, replaced by a context-sensitive, intuitive interaction.


Why This is Good News for Designers

Yes, AI will reshape UI — but it’s not about removing jobs; it’s about changing the type of work we do. As AI increasingly handles layout generation, visual consistency, and even Figma-level fidelity, the role of a product designer becomes more strategic. You’ll spend less time pushing pixels and more time shaping user intent, designing adaptive systems, and guiding AI to reflect the right tone, accessibility, and usability patterns.

Product designers won’t disappear — they’ll evolve into systems thinkers, task framers, and interface architects.

Instead of meticulously crafting layouts and managing hundreds of screens in Figma, we’ll focus more on:

  • Contextual UX strategy: Anticipating user needs and creating thoughtful, task-oriented experiences.
  • User psychology: Understanding and designing around real, nuanced human behavior and trust.
  • Empowering experiences: Ensuring users feel in control, empowered, and supported by clearly communicated AI interactions.

Rather than losing our roles, we’ll be freed to focus on higher-level tasks and deeper creative problem-solving.


How Designers and Founders Should Adapt Now

Here are immediate, practical steps to prepare for an AI-driven UI future:

1. Start thinking in tasks, not screens

  • Shift your mindset from creating static screens to facilitating user tasks.
  • Clearly define the primary tasks your users want to achieve and simplify interfaces around these core tasks.

2. Use AI daily in your workflow

  • Regularly experiment with tools like ChatGPT to understand firsthand how AI impacts your interactions and problem-solving approach.
  • Observe which tasks you intuitively turn to AI for and how the interface helps or hinders your experience.

3. Simplify your design approach

  • Remove unnecessary visual complexity from your designs now. Ask yourself, “Could this interface be simpler if it were fully personalized?”
  • Experiment with radically minimal UI concepts centered around clear user input and output.

4. Focus on empowering clarity

  • Consider how your UI communicates to users what actions are possible and available at any moment, rather than overwhelming them with static options.
  • Think about leveraging user habits, context, and timing to dynamically surface tasks.


Final Thoughts: Embrace, Don’t Fear, the Shift

As product designers and founders, we’ve always adapted to new technologies. We’re not designing the same interfaces we did 20 or even 10 years ago — and that’s good. Each evolution makes our interactions with technology more human, more intuitive, and more seamless.

AI-driven UI is just the next logical step. Instead of fearing it, we should embrace it, lean into our strengths as empathetic designers, and lead this shift with creativity and optimism.


Source: Tyler Andersen

https://medium.com/design-bootcamp/how-ai-will-fundamentally-change-ui-design-90c9c485038e

Thursday, July 03, 2025

你的AI寫文案沒「人味」?研究揭7大AI寫作缺陷:愛老梗、廢話多…該如何訓練AI寫作力?

 


重點一:Salesforce研究指出,頂尖AI模型如GPT-4o在創意寫作上品質無顯著差異,且普遍存在七大寫作缺陷。

重點二:研究證實,透過自動化編輯流程,AI能有效識別並修正自身初稿的缺陷。

重點三:各大AI模型皆出現重複的句法模式與用詞,暴露出其訓練數據與方法可能存在「演算法單一化」的缺陷。


Salesforce AI 研究中心近日發表一篇題為《AI寫作能否被拯救?》的研究報告,對當前大型語言模型 (LLM) 的創意寫作能力提出檢討。

為了探討AI與人類寫作的差異,該研究聘請了18位擁有藝術創作碩士 (MFA) 學位的專業作家,對1,057段由前述三大模型生成的文學小說與創意非小說段落進行深度編輯與評分。

研究發現,儘管AI技術飛速演進,但包括OpenAI的GPT-4o、Anthropic的Claude-3.5-Sonnet及Meta的Llama-3.1-70b在內的三大頂尖模型,其生成的創意寫作文本在品質上並無顯著差異。

更重要的是,專業作家在評審過程中,一致認為這些AI生成的內容普遍存在七大類寫作缺陷,顯示AI在原創性與藝術性方面,可能已觸及現有技術的天花板。


專業編輯歸納出的「AI寫作7大缺陷」

為了系統性地分析AI寫作的弊病,研究團隊在專業作家的協助下,建立了一個包含七大類別的「AI寫作缺陷分類法」。這些缺陷按被標記的頻率高至低排序,分別為:


(一) 彆扭的用詞與措辭︰佔28%,指用字不精準或語句不通順。例如AI常使用「seem to」這樣的不必要修飾語,使表達顯得不夠精確。

AI原生:where the sky seemed to hover (天空似乎盤旋的地方)

人類修改:where the sky hovered (天空盤旋的地方)


(二) 句子結構不良︰佔20%,包括流水句、句子片段、修飾語位置不當等問題。AI傾向於產生過長複雜的句子,影響可讀性和清晰度

AI原生:As the night wore on, Z's laughter grew louder, his words slurring together like a sloppy melody. N. and I exchanged a knowing glance... (夜深了,Z的笑聲越來越大,他的話語像一段草率的旋律般含糊不清。N和我交換了一個心照不宣的眼神…)

人類修改:Z. was drinking more and more as the night went on. He laughed more loudly. His words started to slur... (隨著夜深,Z越喝越多。他笑得更大聲了。他的話開始變得含糊不清…)


(三)不必要/冗餘的闡述︰佔18%,即「過度解釋」,未能做到「點到為止」,反映了AI難以掌握什麼訊息對讀者是必要的。

AI原生:a concrete behemoth that cast long shadows over the desolate landscape (一個在荒涼景觀上投下長長陰影的混凝土巨獸)

人類修改:a concrete behemoth that cast a long shadow. (一個投下長影的混凝土巨獸。)


(四)陳腔濫調︰佔17%,使用過度俗套的比喻或情節。

AI原生:settled over her like a heavy blanket (像一條沉重的毯子籠罩著她)

人類修改:This time, though, she was alone. (不過,這一次,她獨自一人。)


(五)華麗辭藻︰指過度堆砌形容詞與副詞,顯得矯揉造作。

AI原生:The sobs emerged from this deep well of unspoken expectations, leaving behind a residue of weary resilience... (哭泣從這口潛藏期望的深井中湧出,留下了疲憊韌性的殘餘…)

人類修改:She cried. She cried for unfairness. She cried without relief. (她哭了。她為不公而哭。她哭得無法釋懷。)


(六)缺乏具體性與細節︰內容空泛,缺乏能夠創造鮮明心理圖像的具體細節。

AI原生:Dr. Arthur Steiger's fall from grace began with a series of whispered concerns... (亞瑟·史泰格醫生的失勢始於同事間一系列竊竊私語的擔憂…)

人類修改:Pain was Dr. Arthur Steiger's forte. Not inflicting it, that is, but resolving it. (疼痛是亞瑟·史泰格醫生的專長。不是製造疼痛,而是解決它。)


(七)時態不一致︰在過去、現在、未來時態間不當跳換,造成時間線混亂。

AI原生:The first snowflakes began to drift (第一片雪花開始飄落)

人類修改:The first snowflakes drifted (第一片雪花飄落了)


研究還發現,這些頂尖模型不僅問題相似,甚至連用詞偏好都驚人地一致。例如,「unspoken (潛台詞的/未說出口的)」一詞在約15%的AI生成文本中出現,而「sense of (…的感覺)」、「weight of (…的重量)」等片語也遠高於人類作家的使用頻率。

這種跨模型的語言同質化現象,可能源於它們使用了相似的訓練數據基礎(如Books3語料庫),或是存在模型以其他模型生成的合成數據進行訓練的產業現況,這為「演算法單一化 (Algorithmic Monoculture)」敲響了警鐘,可能導致AI語言表現多樣性的流失。


研究展示了在分析文本資料時,所歸納出的七種常見的AI寫作問題。
圖/Salesforce


AI寫作有救嗎?答案是「可以教化」

儘管研究點出了頂尖模型的共同瓶頸,但這不代表AI在寫作方面不可教化。研究發現,AI其實具備自我進化的潛力。研究團隊基於專業作家的編輯回饋,建立了一套創新的「對齊模型與人類偏好」的方法,證明AI能夠透過自動化流程改善寫作力。

傳統上,訓練AI(即「對齊」)的方式是讓人類在兩個由AI生成的範例中擇一,但缺點是兩個選項可能同樣有瑕疵。而Salesforce提出的新方法則是「透過編輯對齊 (Alignment via Edits)」,讓人類專家直接修改AI生成的文本,為AI提供了更精確、更具體的學習範本

簡單來說,就是先讓AI生成文章,然後請人類編輯下去修改,把不通順的地方改通順、把用錯的詞換掉,透過提供「標準答案」給AI當範本,讓它更能揣摩真實人類的下筆方式。

基於上述概念,研究團隊進一步開發出一套兩階段自動化編輯管線:首先由一個AI模型「檢測」出初稿中的問題文本,再交由另一個AI模型進行「改寫」。

在一項由12位專家參與的偏好度排名評測中,結果呈現出清晰的排序︰作家編輯版本 > AI自我編輯版本 > AI原始版本

這張圖描繪了一個三步驟的自動化流程:從真實文章中提取內容 -> 用 AI 將內容轉化為問題 -> 再用 AI 針對問題生成答案。透過這種方式,可以高效地創造出大量高品質、類似人類對話的「問題-答案」組合,用來訓練和優化 AI 模型。圖/ Salesforce

其中,AI自我編輯後的文章,平均排名分數(1.99分)顯著優於原始文章(2.51分),雖然仍不及人類專家親自操刀的版本(1.5分),但已證明AI透過「撰寫初稿、發現問題、進行修改」的迭代過程,能有效提升最終產出的文本品質。


人類作者該如何跟LLM協作?

文章的結論指出,LLM的問世,讓人類作家不再需要與一個充滿缺陷的初稿搏鬥,而是可以由AI執行初步的「自我潤色」流程,從而為人類提供一個品質更高的起點,將人類的角色從文案校對員轉變為更高層次的創意總監

而為建構AI成為更好的寫作輔助工具,研究提出的操作心法如下:  

1. 克服過度寫作︰LLM必須學會「少就是多」原則,刪減不必要的闡述,讓簡潔成為標準。

2. 消除陳腔濫調︰LLM的機率性本質使其成為老梗製造機,因此未來的AI對齊工作,必須積極懲罰高機率出現的老梗文字用法。

3. 掌握結構︰LLM需要更好地管理文章的流暢性、清晰度和句子結構,並學會何時以及如何有效地拆分複雜的思想。

研究中所提到的具體的優化提示詞如下:

力求原創,避開陳腔濫調與常見的套路。語言風格應簡潔、精練,避免不必要的詞藻堆砌。請著重於呈現細膩的差異與潛台詞,不必加上前言或開場白,直接開始。


結論:為AI秀出範例,是最好的調教手段

最後要說的是,AI寫作雖然目前充滿缺陷,但確實可以被「拯救」,而拯救的關鍵方法是「編輯」,而非不斷要求AI重新生成。畢竟,一個經過編輯的版本,本身就為AI提供了「哪裡錯了」以及「該如何改」的明確訊號 。

換言之,與其期待AI一次就寫出完美的文章,不如將其視為一個能快速產出草稿、但需要後續修改的助手。


Source: 李先泰@數位時代

https://www.bnext.com.tw/article/83779/llm-editing-breakthrough

Wednesday, June 25, 2025

19 Laws of ChatGPT Prompts

Most people are using ChatGPT wrong. 

These are the 19 prompt laws to live by.

ChatGPT isn't a brain, so much as a mirror: 

How well you use it determines how productive you can be. 

If you give it vague, one-line prompts, you are going to get generic outputs in return. 

That's why I developed these 19 laws to improve my prompts, and get clear, structured outputs. 


Use them to elevate your AI game 👇


📜 Law #1: Clarity > Cleverness

Avoid fancy phrasing. Say what you want in plain language.


📜 Law #2: Start With the Friction

Begin your prompt with the thing you're stuck on.


📜 Law #3: Prioritise Use Over Theory

Ask for advice like you’re about to implement it.


📜 Law #4: Ground It In Reality

Reference something real: your site, your customer, or your offer. 


📜 Law #5: Declare the Constraints

Don’t just say what you want. Say what you don’t want.


📜 Law #6: Timebox the Lens

Set a specific time boundary for references and research. 


📜 Law #7: Make It Choose

Present trade-offs and ask it to select the best one. 


📜 Law #8: Ask It to Judge, Then Justify

Don’t just get output. Get a critique.


📜 Law #9: Simulate Real Scenarios

Use setups that imitate reality. 


📜 Law #10: Lock in the Persona

Tell it how to think, not just who to be.


📜 Law #11: Focus on Leverage

Ask it to give you the highest-leverage option. 


📜 Law #12: Make It Build With You

Prompt like you’re in a feedback loop:


📜 Law #13: Include What You’ve Tried

Skip reinventing the wheel and reduce reprompts.


📜 Law #14: Push It Into Action

Wrap your prompt with actionable steps. 


📜 Law #15: Give It Tone 

Tell it how it should feel. Tone drives output. 


📜 Law #16: Ask It to Steal Smartly

Offer it examples that it can use to repurpose. 


📜 Law #17: Use Negative Prompts

Tell it what to ignore to help you shape tone/style.


📜 Law #18: Invite Pushback

Avoid the yes-man tendencies of ChatGPT. 


📜 Law #19: Refine Into a System

If it works once, make it reusable. 


These laws won't give you direction for your content, but they will make sure you get the most out of your prompts. 



Source: Chris Donnelly

https://www.linkedin.com/feed/update/urn:li:activity:7341071570104180736/?origin=NETWORK_CONVERSATIONS&midToken=AQE5lLGmYZKxUQ&midSig=1-wKZqXYO0ebQ1&trk=eml-email_network_conversations_01-update~card-0-thumbnail~overlay~image&trkEmail=eml-email_network_conversations_01-update~card-0-thumbnail~overlay~image-null-2dylbp~mc9146tr~f9-null-null&eid=2dylbp-mc9146tr-f9&otpToken=MTMwMTFhZTMxYTJmY2FjNGI1MjQwNGVkNDMxZWUxYjM4NmNlZDc0MDllYWI4YjYxNzRjMzA4NmU0ZjVkNTRmMWYwZGY4N2ViNjFmNWNhZmY0MjhkMDhiMTgyZTI1YjNhOTY3ZTI4NWI4OWUxMTc4NjUxNDQsMSwx

Tuesday, June 24, 2025

Work-life Balance

Work-life balance isn't a 'one-size-fits-all' approach.


But productivity gurus tell us otherwise.

They sell the myth of "perfect balance."

Chasing it only leads to:

❌ Constant feelings of failure or guilt

❌ Unnecessary stress and anxiety

❌ Ignored personal needs


Here's what real balance looks like:

✅ Some thrive on 12-hour workdays and weekend adventures

✅ Others need strict 9-5 boundaries and quiet evenings

✅ Many blend work and life throughout their day


What matters is YOUR version of balance:

1. Energy Management 🧠

→ When are you most productive?

→ What drains you fastest?

→ Schedule your key tasks during peak energy hours


2. Priority Alignment 🎯

→ What can't you compromise on?

→ What can flex when needed?

→ Block time for non-negotiables first


3. Season of Life 🍂 

→ What works today might not work next year

→ Adjust as your life evolves

→ Review and reset your schedule quarterly


4. Life Circumstances 🏠

→ Health needs shape your non-negotiables

→ Family responsibilities create natural boundaries

→ Schedule self-care like you schedule meetings


Stop forcing yourself into someone else's version of balance.

Design YOUR rhythm.

That's the only balance that matters.



Source: Dora Vanourek

https://www.linkedin.com/feed/update/urn:li:activity:7341817352654675968/?origin=NETWORK_CONVERSATIONS&midToken=AQE5lLGmYZKxUQ&midSig=1-wKZqXYO0ebQ1&trk=eml-email_network_conversations_01-truncated~share~message-0-see~more&trkEmail=eml-email_network_conversations_01-truncated~share~message-0-see~more-null-2dylbp~mc9146tr~f9-null-null&eid=2dylbp-mc9146tr-f9&otpToken=MTMwMTFhZTMxYTJmY2FjNGI1MjQwNGVkNDMxZWUxYjM4NmNlZDc0MDllYWI4YjYxNzRjMzA4NmU0ZjVkNTRmMWYwZGY4N2ViNjFmNWNhZmY0MjhkMDhiMTgyZTI1YjNhOTY3ZTI4NWI4OWUxMTc4NjUxNDQsMSwx

Friday, June 20, 2025

Generative AI vs Agentic AI vs AI Agents: What’s the Difference, Really?

“You’re thinking about AI all wrong.”

That’s what a fellow AI engineer told me over coffee last month when I casually referred to ChatGPT as an “AI agent.”

“It’s not an agent,” he said. “It’s a generative model. Very different beast.”

And that sparked a rabbit hole I did not expect to go down — but I’m so glad I did.

Because if you’re building in AI, advising with AI, or even just thinking about the future of work, these distinctions aren’t just semantics — they’re a compass.


Let’s break it down, human to human. No jargon overload. Just real talk, real examples, and where all this is headed.


Generative AI: The Creative Powerhouse

Imagine giving a super-smart artist a prompt like:

“Draw me a futuristic city with neon skies and solar-powered skyscrapers.”

Now imagine that artist responding in 5 seconds with five masterpieces. That’s Generative AI.

It doesn’t think. It doesn’t plan. It doesn’t act.

It createsbased on what it’s seen, read, or learned from massive datasets.


Examples You Know:

  • ChatGPT (Text): Write blogs, emails, code, jokes — you name it.
  • DALL·E / Midjourney (Images): Create stunning visuals from prompts.
  • Sunno / ElevenLabs (Audio): Generate podcasts, music, or clone voices.
  • Runway / Sora (Video): Make cinematic-quality videos out of thin air.

Real-World Use Case:

At my old fintech startup, we used GPT to draft monthly investor reports. What took our team 4 hours before, now takes 10 minutes. But guess what? The tool didn’t know what the report meant. It just knew how to write like us.

That’s generative. It outputs patterns. But it doesn’t reason, plan, or act independently.

TL;DR:

  • Strength: Creativity, content generation.
  • Weakness: No memory, no goals, no decisions.
  • Think of it as: A brilliant intern with infinite talent — but zero initiative.


Agentic AI: The Autonomous Thinker

Here’s where it gets wild.

Agentic AI doesn’t just respondit acts. It sets goals, makes decisions, evaluates options, and adapts in real time.

It’s like giving that same intern a list of 10 tasks and saying:

“Here’s the goal. Go figure it out.”

And they come back with a strategy, identify gaps, make decisions, and report progress — without bugging you every 5 minutes.


Key Capabilities:

  • Plans actions across steps.
  • Adjusts behavior based on feedback or changing environments.
  • Makes decisions with context and constraints in mind.

Example:

Say you ask an Agentic AI:

“Automate my weekly LinkedIn content strategy.”

It won’t just generate posts. It might:

  • Pull trending topics from LinkedIn analytics.
  • Analyze your audience engagement.
  • Create a 4-post calendar.
  • Schedule posts via Zapier.
  • A/B test CTAs.
  • And report back with metrics on reach.

All while adapting next week’s plan based on what worked.

That’s not generative. That’s agentic.

Use Case:

In cybersecurity, Agentic AI is being used to detect threats in real time, block access, investigate root causes, and patch vulnerabilities — before a human even logs in.


AI Agents: The Best of Both Worlds

Now, take Generative AI’s creativity plus Agentic AI’s autonomy — and you get AI Agents.

These are full-blown virtual employees.

They:

  • Interpret tasks.
  • Generate ideas/content/data.
  • Make decisions.
  • Execute across systems.
  • Learn and adapt.


Real-Life Analogy:

I built a small AI agent for a client’s ecommerce store last year. Here’s what it did:

  1. Listened for negative reviews on Shopify.
  2. Generated polite response drafts using GPT.
  3. Analyzed customer sentiment trends using vector search.
  4. Triggered refund workflows if issues repeated.
  5. Sent summaries to the customer support team weekly.

One prompt. One goal. Full workflow. Zero human effort.

That’s what AI Agents do.


Future Vision:

AI agents will manage:

  • End-to-end project management
  • HR onboarding
  • Automated compliance audits
  • AI-based customer support teams that learn

They’ll swarm together like digital ants — small, smart, specialized — and achieve collective outcomes faster than humans can plan.


Image by Author (Napkin AI)


So… Why Does This Matter?

Because in 2023, it was cool to use GPT to write your emails.

In 2025, that’s the bare minimum.

The real game? Building workflows where AI thinks, plans, and delivers like a team of interns, architects, and analysts — all in one.

The companies, creators, and coders who understand this shift will move 10x faster than those who treat AI like a fancy autocomplete.


One Last Thought

If you’re reading this and thinking:

“Am I falling behind?”

The answer is: Not if you start now.


Understand the spectrum:

  • Use Generative AI for ideation, content, and prototypes.
  • Use Agentic AI for decision-heavy automation.
  • Build or deploy AI Agents to tie it all together.

The future isn’t AI vs humans.

It’s AI with humans — as co-strategists.

Let’s build it together.


Source: Analyst Uttam

https://medium.com/ai-analytics-diaries/generative-ai-vs-agentic-ai-vs-ai-agents-whats-the-difference-really-3b76b7c1847b

AI is the elevator; thinking is taking the stairs

Around 2020, Professor David Raffo noticed a swift and drastic improvement in his students’ writing skills at Portland State University. He quickly realized his hunch was accurate: They were using AI. The tool had improved their writing, but crucially, it hadn’t improved their writing skills.

In her story “Is AI Making Us Dumb?,” UX designer and researcher Arshitha S Ashok draws on this anecdote to highlight the phenomenon of “cognitive offloading” that’s been caused by the proliferation of AI tools. By using ChatGPT and other LLMs in our daily lives, she writes, we’re not just outsourcing our critical thinking and decision-making skills; we’re outsourcing our curiosity, too.

Ashok cites a number of studies that have begun to investigate how these tools affect our brains. One study points to the way AI causes “mental atrophy,” which is defined as “the gradual weakening of our mental faculties due to over-reliance on external tools.” One Alzheimer’s researcher “emphasized the importance of mental activity to prevent cognitive decline.” In other words, overreliance on these tools can make our minds less resilient against diseases like Alzheimer’s.

Solving this problem isn’t as easy as pointing to a bunch of persuasive studies, however. As Ashok writes, “resisting the ease AI offers takes extraordinary discipline.”

As a college physics professor, Rhett Allain sees the issue up close, and frames it as a question of AI vs. effort. Allain compares AI to an elevator, and cognitive problem-solving (like solving a physics problem by hand) to a stairmaster machine. The elevator will get you to your destination faster, but the stairmaster will make your mind stronger and more agile.

When solving the problem yourself, Allain writes, “You MIGHT get the wrong answer. You might make a mistake. You might even get confused with this solution. Don’t worry — that’s all part of the learning process. It’s all about the sweat and confusion. The answer doesn’t even really matter.” 


Source: Marian Bull

The Medium Newsletter

Sunday, June 15, 2025

巴拿馬運河脫離香港管理之悲哀!中資據說爭取加入美資集團管理運河

圖、恐懼貝萊德掌控全世界,中資擬加入貝萊德之碼頭集團。製圖:星島日報


一國兩制之奧妙,在於香港有自治而無主權,有治安而無國安,故此國際信賴香港是中立政體,可以委託管理海運和碼頭,即使懷疑港資公司或許與殖民地時期的英國或九七之後的中共暗通款曲,礙於香港是中立特區,也無可奈何。這是長和集團可以不斷收購碼頭管理權的原因,即使有時中共協助長和集團在一帶一路收購碼頭管理權,當代政府也無戒心。中共直接統治香港之後,情勢丕變[1],美國的制裁法案視香港特區與中共無別,香港公司管治美國通航要塞之巴拿馬運河,掌握美國通航資料,美國當然憂心忡忡,於是特朗普當選之後,揚言收回,而長和集團也連同所有碼頭及泊位全數售賣與美資的貝萊德公司。

此舉令中共顏面無存,於是黨報對長和集團及李富豪口誅筆伐,最新之外媒消息,是中資擬加入貝萊德集團之股份,參與管理及決策。

以前是出香港做假身,予取予求而不會沾手,省錢又省力現在收回香港治權,想不到要出真身和用真銀,因為貝萊德不是開善堂的,預計會高價售出股份予中資。周郎妙計安天下,賠了夫人又折兵。[4]


[1] 丕變:大變、程度深刻之變。丕,粵語披,大也。《北史.卷一二.隋本紀.煬帝》:「朕又聞之,安安而能遷,民用丕變。」


Source: 陳雲

https://www.patreon.com/posts/131498628

Saturday, June 14, 2025

修煉精氣神:人體精力有限,養生首重養神與採氣

 

圖、放下紛擾,靜心養神

白日已過,正宜入睡。近幾個月我都是晚上十一點之前睡,最好是十點睡。用的口訣或心法是,睡眠是我整日活動賺回來的,不論有否工作,或是整天閒著,現在都要好好享受,睡得好不好是一回事,但要心安理得地去睡。睡眠是工作的報酬,而不是工作的妨礙,這徹底改變了我幾十年來遲睡的壞習慣。

三年前因熬夜過勞而虛弱,在家休養生息,開始重拾道家養生之道,尤其是仙術,即是內丹,也在本欄寫了幾篇文章介紹。這裡講一下如何養神,除了滋養肉體之外,即使百年往生或意外死亡,都有一點陽神可以凝聚起來,飛出腦竅,保證自己去到淨土或天界。


萬物皆有神,多寡與集散

道家內丹的。以今日的準確概念言之,精是介乎液體與氣體之轉換中介物微微帶有光和熱;氣是能量(磁力、電力、熱力等)略帶有光。神純是光頻率穩定能量集中,才叫做神。再精確來說,神是意識(consciousness)。人類、動物有意識,即是有神,現在的科學研究,發現植物有意識,甚至大石、高山也有意識,最大膽的推論,是太陽也有意識,即是古人說的日神。故此道家煉氣的其中一個方法,向日取精(吸收太陽精華)是合理的,因為太陽的意識可以與修行者的意識交感。萬物皆有神,差別只是神的多、寡,神的集、散。

平常情況,人身內外的精氣神是抱作一團的,分不清的。一旦修行者凝神的時候、佛教說的入定的時候,即是觀察的意識發動的時候,可以分清精、氣、神。

養生,首重的是養神。除了內丹家用精和氣來養神之外,普通人養神,有兩個方法:

第一是早睡、安睡、夜長夢少,時間不一定要所謂八小時,那是工業時代的教科書說的,酣睡五六個小時就可以,之前的入睡時間和起床之前的冷靜時間或賴床時間隨意而定。

第二是人身通體是陰,唯獨眼睛是陽,故此陽自眼出,故此不要濫用眼睛來耗神神是光,感光的是眼,閉目可以養神。少看電腦或手機屏幕,更是養神。

在南宋末年出現,到清朝光緒年間再出現傳道的黃元吉真人這樣說,人身屬於陰(地球的物質),要採陽來,將之煉成陽氣較多的身體,就可以長生,各種微小的陽氣(微陽)匯集之後變成真陽,就可以將精、氣化為陽,變成元神,於是可以脫出肉身而飛升,或者將肉身氣化之後與元神結合一併飛升,與太虛合一,太虛是不生不滅的,故此可以不滅,也就是佛教說的涅磐了。(鍾離老祖曾言:「一身四大皆屬陰,莫把陰精裏邊尋。」說明肉體本身屬一團陰氣,不可在體裏面摸索用功。因為修煉用的是陽氣,從陽氣煉出陽神。在肉體裏面用功,最終只能煉出陰神,成為鬼仙(法力大的鬼魂)。功夫之要妙,貴在採取虛空之陽氣,點化自身之陰質,群陰剝盡,脫胎換骨,以成就純陽之體。近人陳攖寧先生有言:「北派清靜,卻不是專靠打坐就能成功,外界資助,當然不可少,卻是從虛空中尋求,不是在人身上討便宜。」)

養神的方法有兩種,在打坐及平日時候。打坐的時候,不論煉什麼功,都需要先凝神。例如我練的養生功——清朝的《內功圖說》(也稱為床上/坐式八段錦),第一式的歌訣就是「閉目冥心坐,握固靜思神」,這是最平凡的功法,入手之處卻是高深莫測!閉目是養神,冥心是講心念變成空寂,握固是兩手握拳放在膝蓋上的大腿側,拇指屈入掌心,其餘四指保住拇指,這是保腎精的方法,也是驅魔的手印。


.養神保命,以虛合道

養神是神與氣合,將失散的心神收回來,斂藏附在軀體的活躍的氣團之內,感覺不到氣團,就收攝在氣穴之內,例如肚臍下的丹田。養神的時候,不要當它是實有,而是虛的,是有與無之間。

為什麼要當神、氣是虛的呢?因為生命由虛而來,也入虛而去。故此要將神與虛合一,一開始練內丹就要與虛空的道(你說上帝也可以)結合,佛家說的結個緣,那麼以後練下去就會回到虛空來。虛空是不生不滅的。實有是生滅的,例如精是大部分實有的,故此會耗盡而亡,俗話說的精盡人亡,不是開玩笑的,是真的如此——精藏於腎,人的腎精耗盡就死亡。

這裏只說人可以達到永生/無生滅的道理,成為天仙或佛/阿羅漢。內丹入手的練功方法,要另外講述和示範,不在此介紹了。

要介紹的,是簡單的吸陽的方法,令自己欣喜和健康起來,至少可以成為人仙——長壽、健康而身心煥發的人。尤其是年過三十之後,先天精氣耗損大半,後天吸收的精氣有限,故此很難從精來化氣,再由氣來化神,故此要採取應急方法:首先保養好剩餘的神(預備百年歸老或隨時死亡!),以及採取天地宇宙的陽氣來養神。

神既然是光,那麼地球上、宇宙中很多地方都有光,我們看得見的東西都發光,都有神,是嗎?正是如此。清朝人閔一得重訂的《泥丸李祖師女宗雙修寶筏》(見附錄二)說出秘密口訣,「可知世有無遮會,種子原來徧大千。假箇壇場作爐鼎,盧能去後失眞傳。」語譯就是:世上曾經有過一次毫無遮擋的講道會,說精氣神的種子遍布大千世界(按:即是不必局限在男女雙修者之內!),日月星辰,花草樹木,採之不盡,我們的身體將之集中起來修煉,好似爐和鼎一樣,這個秘密在禪宗六祖慧能(俗名盧能)圓寂之後,就少人傳出來了。

怎樣採(陽)氣,我之前介紹過採日精之法,黃元吉真人講出更簡單的採陽氣方法。黃真人於南宋年間羽化登仙,與清朝光緒年間復來人世,在四川的樂育堂講道,門人將真人之宣教,輯集為《樂育堂語錄》。他在第一卷就講出採氣的秘密。

這方法居然與德國哲人康德的美學論點近似——美感就是沒有私慾和用處的心靈感受!當看到美麗景色、創作書畫藝術、彈琴唱歌、人倫交際等令人愉悅和暢快的時刻,而此刻自己的私慾盡去的時候,就是陽氣生起的時候。此刻不要過分沉溺,而要將氣平靜起來,收入自己的黃庭之內。黃庭就是腹腔氣機發動的地方,一般是中丹田(兩乳頭之間的膻中穴對入的地方)和下丹田(肚臍下的氣海穴對入的地方)之間。日久而體內陽氣充盈,就可轉化為神,用目光內視的方法帶上頭顱內的上丹田(泥丸穴,即是眉心對入的地方),將頭顱內的陰氣慢慢掃走,令頭腦清醒和接通日月星辰。即使不精進練功,百年歸老或意外死亡的時候也可將頭內的陽神飛出,至上天界或淨土,脫離人世輪迴。


附錄一、《泥丸李祖師女宗雙修寶筏·女功指南》太虛翁沈大師述并註,受業弟閔一得重訂

第三則

泥丸氏曰:男子雙修不用鼎,用鼎終非得道人。添油乃小術,非眞訣。眞訣三才為一身。女子雙修總一般,無含三有育成丹。箇中眞一如倉粟,造化為爐熟任餐。又曰:可知世有無遮會,種子原來徧大千。假箇壇場作爐鼎,盧能去後失眞傳。又曰:吾說此偈,天龍八部。應各驚駭,謂吾饒舌。恐遭玄罰,而我暢言之者。蓋承玉淸神母懿旨,謂惜大道絕傳,曾敕不二聖姑,鄭重宣示:口以授我,意在直泄,毋復假名易號,重誤後人。其說曰:孤修非至道,同類自相須。身外有身者,形忘堪事諸。其訣曰:乾元得自頂,坤元失自牝。人元遍大千,三元一心領。不外心寂虛,不外身無梗。動靜合眞常,我無元自併。元併一亦併,一元卽情性。情乃性之元,性為才共稟。能無元一化,自超無上品。是乃玉淸神母之懿旨,不二聖姑之口授也。能者從之。


附錄二、清·黃元吉《樂育堂語錄卷一·二》

諸子談及陽生之道,已非一端,總不外無思無慮而來。即如貞女烈婦,矢志靡他,一旦偶遇不良,寧舍生而取義。又如忠臣烈士,惟義是從,設有禍起非常,願捐軀以殉難。此真正陽生也,不然,何以百折不回若是耶?由是推之,舉凡日用常行,或盡倫常孝友,或憐孤寡困窮,一切善事義舉,做到恰好至當,不無歡欣鼓舞之情,此皆陽生之候。只怕自家忽焉見得,忽焉又為氣阻。又怕自家知道,因而趾高氣揚,喜發於言,形動於色,洋洋詡詡,不知自收自斂,視有如無,因被氣習牽引而散矣。又或讀書誦詩,忽焉私欲盡去,一靈獨存,此亦陽生之一端也。又或朋友聚談,相契開懷,忽然陽氣飛騰,真機勃發,此亦陽生之一道也。更於琴棋書畫,漁樵耕讀,果能順其自然,本乎天性,無所求亦無所欲,未有不優游自得、消遣忘情者,此皆陽生之象也。總要一動即覺,一覺即收,庶幾神無外慕,氣有餘妍,而丹藥不難於生長,胎嬰何愁不壯旺?即或不至成仙,果能持守不失,神常返乾穴中,氣時歸於爐內,久久真陽自發生矣。尤要知人有陽則生,無陽則死。以此思之,縱自家鮮有功德,不能上大羅而參太虛,亦可邁俗延齡,為世間地仙人仙焉。諸子從此悟得,方知陽即道,道即虛無自然。子思子謂「道也者,不可須臾離也」,其即此收斂陽光、不許一毫滲漏之說歟?諸子卓有見地,吾故以鋪天匝地、亙古歷今之真正元陽無時無處而不有者示之;若以此教初學人,反使無路入門,將他本來色相一片歡欣鼓舞之機亦窒塞焉。


Source: 陳雲

https://www.patreon.com/posts/xiu-lian-jing-qi-131444418

https://www.facebook.com/wan.chin.75/posts/pfbid02TtszLwFwTasyr4xDhJ98uVHQvR1GcuzRxqrYMRy8hn7zU1SBwZE5At9iYfbVcmKal

Wednesday, June 11, 2025

10 Workplace Habits that Make Everyone Want to Work with You

These behaviors fall into 3 key areas:

1. Be a Problem-Solver

• Position yourself as the person who makes things happen.

• Always look to save your coworkers' time by using strategic scheduling.

• Respect your team's busy schedule by communicating efficiently. 


2. Consistently Add Value

• Create cross-departmental connections to unlock new opportunities.

• Plan meetings with clear agendas for clarity and purpose. 

• Tidy shared spaces after use, even when it's not your responsibility.


3. Be Known For Serving Others

• Support teammates to build your reputation. 

• Make small, continual improvements that compound over time.

• Recognize coworkers’ efforts, and you’ll build stronger bonds.


Remember:

Your skills will get you in the door. 

But being easy to work with? That’ll get you promoted.



Source: Ben Meer

https://www.linkedin.com/feed/update/urn:li:activity:7336004837286785024/?origin=NETWORK_CONVERSATIONS&midToken=AQE5lLGmYZKxUQ&midSig=3QjNjB9_E1ZrM1&trk=eml-email_network_conversations_01-update~card-0-thumbnail~overlay~image&trkEmail=eml-email_network_conversations_01-update~card-0-thumbnail~overlay~image-null-2dylbp~mbrvtqsp~ic-null-null&eid=2dylbp-mbrvtqsp-ic&otpToken=MTMwMTFhZTMxYTJmY2FjNGI1MjQwNGVkNDIxN2UxYjA4ZGNkZDQ0NjljYWE4YjYxNzRjMzA4NmU0ZjVkNTRmMWYwZGY4N2IyNzFkMmY5ZmU1MWEyM2EwNWJlMDZmZWY4ZDVlNjY1NzAwMzY0ZWVhMjdjOGIsMSwx

Tuesday, June 10, 2025

的士業界呼籲政府回購牌照,太遲了吧?

 

圖、的士業界提議政府回購牌照。製圖:am730

的士業界代表昨日提議政府回購的士牌,今日特首回絕,認為網約車是大勢所趨,而且市面不滿的士服務。我在二〇〇八年,回溯過往政府賣斷的士牌結果令牌照淪為炒賣品的錯誤,倡議政府回購的士牌(《信報》文化版「我私故我在」之一七七。二○○八年六月二十六日,合併另文〈的士政治經濟學〉之內容,《明報》,二〇〇八年十二月七日,收入拙著《旺角街頭種高粱》),改為租出牌照,並依照市場需求來調整數量和租費,當時美國爆發雷曼債券金融危機,香港略有波及,但中美關係融洽,香港前景秀麗而政府庫房充裕這是最佳時機,矯正過往賣斷的士專營權的錯誤。可惜文章惹來的士業界冷嘲熱諷,網上論壇有肆意謾罵者。

Uber車在二〇一四年出現,但低調經營,在新冠病毒防疫期間,Uber車大行其道,而的士牌照的租金令到的士費用不斷增加,Uber車則騎劫了的士費用,只是略加預約手續費,故此謀求頗多利潤,而且沒有依照市場支付能力而減價的必要。的士業界想政府取締網約車,或限制數目及考核司機資格,但網約車公司反對,認為有市場決定。

經濟學而言,網約車是的士費用引致車費高居不下的free-rider,而的士費用之所以連年上升,是因為牌照有價而且有限為了解救兩者的困境,唯有政府以較低的價錢回購的士牌照,再租出去,令的士費用與網約車費用一同降低,減低民生費用及增加市民及遊客用私人車程的效率。況且,網約車的起步資金不大,只要搶先佔領市場,做兩三年已可謀求巨利。這是的士業界唯有可以用的理據,可惜業界沒有用到。

此外,就是時機目前政府赤字,是不能忤逆民意而無端端付出七百幾億元來給私人買牌的。故此政府的回應,是顧左右而言他,耍走了的士業界的請求。

很少有政府願意耐心做經濟分析來講道理的,大部分是蕭規曹隨,打發事情過去就算。故此選了錯誤時機而且有缺乏理據,注定難以成功。


新聞詳情:

本港近10年的士牌價累跌逾七成,市區牌由高峰期逾700萬跌至本月初約200萬元,新界牌由近600萬跌至125萬元。的士業界接受傳媒訪問認為,若網約車規管不利導致的士牌價續跌,政府應考慮回購的士牌並補償牌主。

順安車行負責人、智慧出行聯合商會主席周國強估計,大部分的士牌回購價達400萬元,如回購全數1.8萬個則需付720億元。他認為政府可成立基金處理,回購後出租亦有收益,相關成本對政府來說屬「濕濕碎」


Source: 陳雲

https://www.patreon.com/posts/131134816

Saturday, June 07, 2025

I’ll Instantly Know You Utilized ChatGPT Once I See This!

The dead giveaways that scream “AI wrote this” — and how to avoid them

Photo by Jonathan Kemper on Unsplash

I’ve been working as a content strategist for the past five years, and let me tell you — I can spot ChatGPT-generated content from a mile away. It’s like having a superpower, except instead of fighting crime, I’m just silently judging people’s lazy writing habits.

Don’t get me wrong, I’m not anti-AI. I use ChatGPT myself for brainstorming and getting unstuck when I’m staring at a blank page. But there’s a difference between using AI as a tool and letting it do all the heavy lifting while you pretend it’s your own genius.

So today, I’m spilling the tea on all the telltale signs that immediately give away AI-generated content. Consider this your crash course in “How Not to Get Caught Looking Like You Can’t Write.”


The Robotic Vocabulary That No Human Actually Uses

This is the big one. ChatGPT has this weird obsession with certain words and phrases that make content sound like it was written by a very polite robot trying to pass a college essay exam.

“Delve into” — I swear, if I see one more article that promises to “delve into” something, I’m going to lose it. Real humans say “explore” or “look at” or just jump straight into the topic. We don’t “delve.”

“Utilize” instead of “use” — This is the fastest way to out yourself. Nobody in casual conversation says they’re going to “utilize” their phone. They’re going to USE it. ChatGPT loves fancy words where simple ones would do.

“Leverage” everything — According to ChatGPT, we should leverage our skills, leverage technology, leverage opportunities. Real people just use their skills or take advantage of opportunities.

“Navigate” challenges — Apparently, every problem is now something we need to “navigate.” Sometimes challenges are just things we face, deal with, or solve. We don’t need to turn everything into a maritime adventure.

I actually keep a running list of these words, and whenever I see three or more in a single article, I know exactly what happened.


The Obsession with Lists and Bullet Points

ChatGPT absolutely LOVES organizing everything into neat little lists. While lists can be useful, AI takes it to an extreme that feels unnatural.

Every ChatGPT article follows the same formula:

  • Introduction with a promise
  • 5–7 main points (always an odd number, weirdly)
  • Each point broken down into sub-bullets
  • A conclusion that restates everything

Real human writing is messier. We go on tangents. We circle back to earlier points. We don’t always organize our thoughts into perfect little packages.

I read a blog post last week that had seventeen different bullet-pointed lists in 800 words. SEVENTEEN! No human thinks that systematically about everything.


The Perfectly Balanced Tone That Lacks Personality

This one drives me crazy because it’s so obviously artificial. ChatGPT writes like it’s trying to be everyone’s best friend while also being a university professor. It’s friendly but formal, casual but comprehensive, enthusiastic but measured.

Real humans have quirks. We get excited about weird things. We have pet peeves. We use slang inconsistently. We sometimes start sentences with “And” or “But” because that’s how we actually talk.

AI writing feels like it was focus-grouped to death. It’s so carefully calibrated to avoid offending anyone that it ends up connecting with no one.


The Wikipedia-Style Introductions

You know what I’m talking about. Those introductions that sound like they’re defining a term for an encyclopedia:

“Content marketing is a strategic marketing approach focused on creating and distributing valuable, relevant, and consistent content to attract and retain a clearly defined audience…”

Ugh. No human starts a conversation like that unless they’re giving a presentation to their boss’s boss.

Real people start with stories, questions, complaints, or just jump right into what they want to say. We don’t begin every topic with a textbook definition.


The Hedging Language Overload

ChatGPT is terrified of making definitive statements. Everything is “may,” “might,” “could potentially,” “tends to,” or “often.”

“This approach may potentially help you achieve better results.”

Just say it helps you get better results! Or don’t mention it at all! All this hedging makes the writing sound uncertain and wishy-washy.

I understand why AI does this — it’s trying to avoid making claims it can’t back up. But humans are more confident in their opinions, even when they’re wrong.


The Conclusion That Restates Everything

ChatGPT conclusions are painfully predictable. They always:

  1. Summarize the main points
  2. Restate the importance of the topic
  3. Encourage the reader to take action
  4. End with a forward-looking statement

“In conclusion, we’ve explored the various ways to improve your writing, discussed the importance of authenticity, and outlined actionable steps you can take. By implementing these strategies, you’ll be well on your way to creating more engaging content that resonates with your audience.”

Real humans don’t wrap everything up with a bow like that. Sometimes we just end with a thought, a question, or even trail off because we’ve said what we needed to say.


The Generic Examples That Apply to Everyone and No One

AI loves examples that are so broad they could apply to any situation. “Consider a small business owner looking to expand their reach…” or “Imagine you’re trying to improve your productivity…”

Real writers use specific examples from their own experience or cite actual companies, people, or situations. They tell stories that happened to them or people they know.

When I see vague, hypothetical examples that sound like they came from a business textbook, I know AI was involved.


The Perfectly Structured Paragraphs

Every ChatGPT paragraph follows the same structure: topic sentence, supporting details, mini-conclusion. It’s like the AI learned essay writing from a high school English teacher and never moved beyond that.

Human writing is more varied. Sometimes we write one-sentence paragraphs for emphasis.

Like this.

Sometimes we ramble for half a page because we got excited about something. We don’t always stick to the perfect paragraph structure because real thoughts don’t organize themselves that neatly.


How to Actually Use AI Without Looking Like a Robot

Look, I’m not saying don’t use ChatGPT. It’s a powerful tool when used right. Here’s how to avoid the obvious tells:

Use it for brainstorming, not final drafts. Let AI give you ideas, then write the actual content in your own voice.

Edit ruthlessly. If AI writes your first draft, rewrite it completely. Change the structure, add personal examples, inject your personality.

Read it out loud. If it doesn’t sound like something you’d say in conversation, it needs work.

Add your own experiences. AI can’t tell your stories, share your opinions, or make your jokes. That’s what makes content human.


The Bottom Line

I’m not trying to shame anyone for using AI. We’re all trying to keep up with content demands, and AI can genuinely help. But if you’re going to use it, at least make it your own.

The goal isn’t to trick people into thinking you didn’t use AI. The goal is to create content that’s actually useful and engaging, regardless of how it started.

Because here’s the thing — I can spot AI writing instantly, and I’m not the only one. Your audience is getting better at recognizing it too. And when they do, they feel cheated.

Your readers want to hear from YOU, not from a very polite robot pretending to be you. So use the tools, but don’t let the tools use you.


Now, if you’ll excuse me, I need to go “leverage” my coffee to “navigate” the rest of my workday. (Just kidding — I’m going to drink my coffee and get stuff done like a normal human.)

What other AI writing tells have you noticed? I’d love to hear your thoughts!

If this made you laugh (or cringe because you recognized your own writing), give it a clap and share it with other writers who might need a reality check. We’re all learning to navigate this AI world together.


Source: reviewraccoon

https://medium.com/@reviewraccoon/ill-instantly-know-you-utilized-chatgpt-once-i-see-this-01d18d1b6d18

Tuesday, June 03, 2025

The 1-Minute Introduction That Makes People Remember You Forever

“You never get a second chance to make a first impression.”

I used to roll my eyes at that phrase. But after being in sales since my teens — I get it. Whether you’re selling yourself, a service, or a home, how you introduce yourself is everything.

Now, as a real estate agent with the #1 team in Utah, I see this daily: you can be the smartest person in the room and still be forgettable — all because your intro was meh.

So let’s fix that.


Why Your Brain Hates Basic Intros

Let’s be real — most intros suck.

“Hi, I’m [Name], I’m a [Title], and I [do a thing].”

Your brain hears this and checks out. It’s too familiar. Too safe. Too easy to ignore.

Our brains crave novelty, relevance, and emotion. So if you want to stand out, you’ve got to interrupt the pattern.


The Hook: Start With a Story, Not Your Name

Instead of starting with your name and title, start with a feeling. A quick story. A moment.

“A couple months ago, I had a client cry during closing — not out of stress, but relief. She never thought she’d own a home, and now she’s got a backyard for her kids. That’s the kind of moment I live for.”

Then say:

“I’m Vivian, by the way — I’ve been in sales since I was a teen, built my first business at 19, and now I’m a real estate agent helping people win at life’s biggest investment.”

Now you’ve got them leaning in.


The Highlight: Add a “WTF” Detail

Next, throw in something unexpected. Something real. Something only you would say.

“I used to run a marketing agency and now I sell homes like it’s my home.”

or

“I once helped a client negotiate $30K in credits — just by listening better than the other agent.”

Little moments like these are what make intros memorable. People repeat details that surprise them.


The Handoff: Make It About Them

Here’s what seals the deal: flip the spotlight.

“That’s a little about me — what about you? What’s your story?”

This shift shows confidence, curiosity, and EQ. And that’s what makes people want to work with you — or at the very least, remember you.


Bringing It All Together: The Power Intro Formula

Here’s a full version using my own voice and story:

“Hey, I’m Vivian — I’ve been in sales since I was a teen, built my first business at 19, and now I’m a real estate agent on the biggest team in Utah. I help families and first-time buyers not just find a home, but make a smart investment. I bring a marketing background, a negotiation brain, and a whole lot of fire to every deal. My clients call me their real estate hype woman — but with spreadsheets and strategy.”

Boom. 60 seconds or less. All you.


🧠 TL;DR: Basic = Forgettable. Bold = Magnetic.

If you want to make people remember you forever, don’t play small.

✅ Start with a story

✅ Drop a “WTF” moment

✅ Make it about them

✅ Practice your 1-minute power intro like a pro

Because how you show up in the first minute?

That’s the version they carry with them.


Source: Vivian Caceres

https://medium.com/@vivian.caceres/the-1-minute-introduction-that-makes-people-remember-you-forever-ffa06cf5b52a