2025年8月20日 星期三

日經新聞:人工智慧(AI)作為能自主規劃並執行任務的代理人,正迅速被納入企業經營版圖。

 Joel來談日本

人工智慧(AI)作為能自主規劃並執行任務的代理人,正迅速被納入企業經營版圖。美國半導體巨頭輝達執行長黃仁勳在2024年10月的網路節目中直言,希望未來「5萬名員工的同時,公司也能在各部門部署1億個AI」。這番談話出自全球首家市值突破4兆美元的企業領袖之口,格外引人注目。
AI已能撰寫程式、進行調查分析與製作報告,這些工作原本多由新進員工或實習生承擔,如今正逐步被取代。歐美產業界已出現縮減新人招聘、傾向優先錄用有經驗人才的趨勢,意味著傳統的「學習基礎業務」機會正在消失。這股浪潮也正吹向日本,程式設計領域的企業經營者更直言,「在多數情況下已不需要新人,因為AI能力更強」。
表面上看來,AI的進步似乎剝奪了年輕人累積經驗的空間,但實際上卻開啟了全新的學習模式。擁有超過20年程式設計經歷的吉田真吾指出,隨著AI進入開發現場,專案推進速度已大幅提升,過去新人能在資深工程師帶領下花一個月慢慢追趕,如今已不再可行。
然而,他也強調,AI也能成為最佳學習工具。透過請AI解說程式內容,新人或許能在短短三天內掌握專案全貌,並於第四天就能嘗試開發新功能並獲得資深同事的回饋。這種「高速學習」模式意味著,若能善用AI,年輕人仍可快速累積技能,甚至更快縮短與前輩之間的差距。
影像創作領域的實踐也印證了這點。創作者清水勝太認為,真正的突破在於「把自身技能與AI結合」,例如攝影經驗能幫助使用者對AI下達更精準的指令。若一味依賴AI,則容易淪為被動工具;唯有以個人專長為基礎,AI的潛能才能被充分釋放。
除了科技業,漫畫行業也率先出現基礎上色描繪工作流失的現象。漫畫家團體「うめ」成員小澤高廣指出,過去新人要出道,必須先成為資深漫畫家的助手,透過打雜學習基礎功。然而,隨著電子書與社群媒體的普及,新人能直接發表作品,不再需要走傳統的助手管道。再加上AI繪圖技術的崛起,即使繪畫技巧不足,仍能嘗試成為漫畫家。
但這並不代表新人不必學習。漫畫創作主要包含三個流程:發想劇情、繪製草圖(ネーム)以及正式作畫。小澤強調,雖然AI能協助背景繪製或成為劇情發想的對話對象,但在最核心的ネーム階段,目前尚無AI能真正取代。對年輕創作者而言,唯一的道路仍是「不斷畫ネーム」,因為這才是決定漫畫靈魂的關鍵。這也凸顯出一個共通訊息:即便AI正在重塑產業,新人若能抓住仍屬於人類的核心能力,就能找到立足點。
結論就是 AI不應被視為剝奪年輕人學習機會的敵人,而是能迫使人們把有限的精力投入真正關鍵領域的助力。過去人才養成的模式是「打好基礎、累積實務,再逐步走向高階工作」,但在AI時代,這樣的路徑已不再適用。AI讓人們能跨越部分傳統階段,直接以不同方式累積經驗,形成嶄新的成長軌跡。然而,這場變革不僅止於初階任務。
隨著OpenAI推出GPT-5等新一代模型,AI正加速滲透至專業與創意領域,連原本被視為人類專屬的創造力與共感力,也逐漸被挑戰。黃仁勳甚至描繪未來企業將同時擁有「數位與生物學基礎的員工」,AI之間能彼此對話、甚至「招募」AI。當AI被視為與人類並列的勞動力時,人類的職場定位正步入難以預測的歷史轉折期。由此可見,年輕人不僅需要適應新人時代的快速學習壓力,更需具備持續因應結構性變化的心理準備。
參考資料:日經新聞

論 AI: Eric Schmidt (2): 矽谷正逐漸與美國其他地區脫節......;Elon Musk;目前95 % AI 投資沒回收,股市跌: most generative AI initiatives implemented to drive revenue growth are falling flat

 

Eric Schmidt (2): 矽谷正逐漸與美國其他地區脫節......
苦口婆心,矽谷的AI熱遠離人民日常萬事的應用改善 (如中國農民用AI改善收成),
過熱/走火入魔/欲速不達?
加入火箭新創公司 Relativity Space 擔任C.E.O. 談 二三年後的AI之agents to action 的威力。 成立公司出書Eric Schmidt-founded Innovation Endeavors 切斷與Alphabet Inc.最後聯繫。 a new home for computer science at Princeton University將辭去Alphabet執行董事長職務 to head new Pentagon innovation board. Interview. Google: “Whack-a-mole is our life /”Google And The Search For The Future

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Elon Musk has praised Google as having the strongest current lead in the AI race, highlighting the tech giant’s unmatched compute power and vast data resources. Speaking about the future of artificial intelligence, Musk noted that while Google is ahead today, the landscape could shift in the coming years as new innovations emerge.

Musk also used the opportunity to continue his ongoing feud with Sam Altman and OpenAI, suggesting that competition between AI companies is heating up. Despite rivalries, he emphasised that all major players, including his own xAI, are likely to thrive in the near term as the AI industry expands at an unprecedented pace.
Google’s dominance in AI is backed by decades of investment and research breakthroughs, including the revolutionary Transformer model that powers modern natural language processing. The company is now ramping up AI spending to $85 billion this year, further solidifying its position as a global AI leader. Google’s involvement with startups like Anthropic also reflects its strategy to stay at the cutting edge of artificial intelligence innovation.
As AI continues to transform industries and daily life, Musk’s comments highlight the intense competition and rapid technological advancements shaping the future. Analysts are watching closely to see whether Google can maintain its lead or if other AI innovators will rise to challenge the tech giant.

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Media Outlet:
Fortune
Publication Date:
Description:

A report published by MIT’s NANDA initiative has found that most generative AI initiatives implemented to drive revenue growth are falling flat, reports Sheryl Estrada for Fortune. “Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact of P&L,” explains Estrada.

Google Now Let’s You Create Your Own Custom AI Assistants For FREE (How to build them

 Google Now Let’s You Create Your Own Custom AI Assistants For FREE (How to build them

👇)
Buried in a quiet update, Google made "Gems" - custom AI assistants - available to all free users. Not just paying customers - EVERYONE!
You can now create specialized AI bots for any job in minutes. No coding. No setup fees. No limits.
Here's what Google just unleashed:
☑ Custom AI assistants that remember your instructions and style
☑ Upload your own files as their knowledge base
☑ Works across web, mobile, Docs, Sheets, Gmail - everywhere
☑ Create unlimited specialized bots for different tasks
☑ All free. All instant. All powerful.
This isn't just another AI feature. This is democratizing AI expertise.
The game-changing part:
Instead of fighting with one generic chatbot, you can build a team of specialists:
→ A content strategist trained on your brand guidelines
→ A sales email writer that knows your pitch deck
→ A research assistant focused on your industry
→ A copywriter that writes in your exact voice
Each one laser-focused on doing one job perfectly.
Here's how simple it actually is:
2. Click "New Gem" in the sidebar
3. Write instructions like you're briefing an employee
4. Upload reference files (your docs, spreadsheets, PDFs)
5. Test it and save
That's it. You just created a custom AI employee.
The instruction formula that works:
"You are a [ROLE] focused on [DOMAIN]. Your goal is to [SPECIFIC TASK]. Use insights from [YOUR FILES]. Write in a [TONE] style, [WORD COUNT] words. Format as [OUTPUT TYPE]. If info isn't in the files, say so."
Copy, paste, customize. Done.
What makes this absolutely brilliant:
These Gems work everywhere Google does. Create one on your laptop, use it in Gmail on your phone, access it in Google Docs during meetings.
Your custom AI team follows you across every device and app.
The competitive advantage is insane:
While everyone else is prompting generic ChatGPT, you can have:
☑ A LinkedIn content creator trained on your best posts
☑ A proposal writer that knows your services inside out
☑ A research analyst focused on your industry trends ☑ A brand voice coach that keeps everything on-message
The practical impact:
Instead of spending 20 minutes explaining context to ChatGPT every time, your Gems already know:
→ Your brand voice and messaging
→ Your target audience and pain points
→ Your products, services, and positioning
→ Your industry knowledge and insights
What you should do right now:
Stop using generic AI prompts. Build your first Gem today.
Pick one repetitive task you do weekly - content creation, email responses, research, analysis - and turn it into a specialized AI assistant.
Test it for a week. Then build another one.

2025年8月11日 星期一

紐約時報與AI Explore Our Coverage of Artificial Intelligence. Aug. 11, 2025.. AI 用法一招: 協助Mr. Stone 翻譯17和18世紀的歌詞 Help translate lyrics from the 17th and 18th centuries. 取自 21 Ways People Are Using A.I. at Work By Larry Buchanan and Francesca Paris Aug. 11, 2025

 

 紐約時報與AI   Explore Our Coverage of Artificial Intelligence.   Aug. 11, 2025..    AI 用法一招:    協助Mr. Stone 翻譯17和18世紀的歌詞 Help translate lyrics from the 17th and 18th centuries. 取自 21 Ways People Are Using A.I. at Work By Larry Buchanan and Francesca Paris Aug. 11, 2025

Explore Our Coverage of Artificial Intelligence


News and Analysis


The Age of A.I.


2025年8月11日 星期一

協助Mr. Stone 翻譯17和18世紀的歌詞 Help translate lyrics from the 17th and 18th centuries. 取自 21 Ways People Are Using A.I. at Work By Larry Buchanan and Francesca Paris Aug. 11, 2025

 協助翻譯17和18世紀的歌詞

理查德·斯通


樂團聯合指揮


史東先生是費城巴洛克樂團的共同指揮,他的工作內容之一就是翻譯文藝復興時期和巴洛克時期聲樂作品的歌詞。他精通主要的歌唱語言——義大利語、法語、德語和拉丁語——但只了解這些語言的現代口語和書寫方式。幾百年前的版本各不相同,也不太標準化。


「人工智慧幫助我累積了音樂學院訓練中未曾包含的經驗,」他說。最初的翻譯工作全部由他獨立完成,而人工智慧則更多地充當著「顧問或導師」的角色來檢查他的翻譯。


當他對某個段落不確定時,他會把原文和譯文都給人工智慧看,反覆推敲,直到找到他更自信的譯文。


“重要的是保持懷疑,”他說。 “它會編造故事,所以當我懷疑的時候,我會去考它。”


史東先生最近試圖用義大利文破解這句話:


Richard Stone via Stift Heiligenkreuz Musikarchiv

第一個字就讓他費了一番功夫。


“我抄寫了義大利語單字‘pramo’,”他說。 「我投入了大量精力,獨自一人,並與人工智慧合作,試圖弄清楚『pramo』可能是什麼意思。最終我認出這個詞是『bramo』(我渴望/希望)。這可能是這個詞未經證實的形式,也可能是徹頭徹尾的抄寫錯誤。我使用的平台根本不擅長這種直覺跳躍。」


最終的翻譯是什麼?


Bramo che sia così per tuo contento.


為了你的幸福,我願如此。


Help translate lyrics from the 17th and 18th centuries

Richard Stone

Orchestra co-director

Mr. Stone co-directs the Philadelphia Baroque Orchestra, and as part of that job translates lyrics for renaissance and baroque vocal works. He has knowledge of the main singing languages — Italian, French, German and Latin — but only the way they are currently spoken and written. Versions from hundreds of years ago were different, and less standardized.

“The A.I. helps me to gain the experience that my conservatory training didn't include,” he said. He does all of the initial translation on his own and uses A.I. more as a “consultant or a tutor” to check his work.

When there’s a passage he’s unsure of, he’ll show both the original and his translation to the A.I., going back and forth to come up with something he feels more confident about.

“The important thing is to maintain a reserve of skepticism,” he said. “It will make things up, so when I get suspicious I will quiz it.”

Mr. Stone was recently trying to crack this phrase in Italian:

Richard Stone via Stift Heiligenkreuz Musikarchiv

The first word gave him trouble.

“I transcribed the Italian word ‘pramo,’” he said. “I invested so much energy on my own and working with the A.I. on figuring out what ‘pramo’ could possibly mean. I eventually recognized the word as ‘bramo’ (I desire/wish). It could have been an unattested form of the word or an outright scribal error. That sort of intuitive leap is not something the platform I use is remotely good at.”

And the final translation?

Bramo che sia così per tuo contento.

I wish it to be so for your happiness.


21 Ways People Are Using A.I. at Work