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經理人月刊2024.5月號:AI工作術 Manager Monthly 2024.5 issue: AI work skills

經理人月刊2024.5月號:AI工作術  Manager Monthly 2024.5 issue: AI work skills

關鍵字搶先看 👀 Keyword sneak peek👀
#AI#黃仁勳#ChatGPT#半導體 #AI#黄仁兴#ChatGPT# Semiconductor


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▋COVER STORY

揮別瑣事、產能倍增

AI工作術 Say goodbye to trivial matters and double productivity with AI work techniques


生成式AI不僅是技術革命,更是工作品質的革新。微軟(Microsoft)曾在〈2023工作趨勢指數報告〉指出,64%的工作者感到時間和精力的匱乏,科技進步傾倒了更多的電子郵件、訊息通知,看似事小,但積累起來猶如「數位債務」(digital debt),讓你更忙於庶務。想像找資料、寫信、做簡報、影音、會議紀錄等,都能請它代勞或協助,把心力花在真正重要的事。今天開始,掌握低瑣事、高效率的魔法。
Generative AI is not only a technological revolution, but also an innovation in work quality. Microsoft once pointed out in the "2023 Work Trend Index Report" that 64% of workers feel a lack of time and energy. Technological advancements have dumped more emails and message notifications. It may seem like a small thing, but it adds up to " "Digital debt" makes you busier with daily tasks. Imagine looking for information, writing letters, making presentations, videos, meeting minutes, etc. You can ask it to do it for you or assist you, so you can focus on what is really important. Start today and master the magic of low chores and high efficiency.

▋編輯台時間 ▋Editor desk time

問題比答案更難的年代 An age when questions are harder than answers



科技媒體《Wired》在2024年2月刊登了一篇輝達(NVIDIA)執行長黃仁勳的專訪,標題是:〈輝達的硬體正在吃掉世界〉(NVIDIA Hardware Is Eating the World)。文章以問答方式呈現,記者蘿倫.古德(Lauren Goode)有幾個利用ChatGPT的提問,很有意思。
The technology media "Wired" published an exclusive interview with NVIDIA CEO Jensen Huang in February 2024, with the title: "NVIDIA Hardware Is Eating the World". The article is presented in a question-and-answer format, with reporter Lauren. Lauren Goode has some interesting questions about using ChatGPT.

記者說,她採訪前,問了ChatGPT關於黃仁勳的資訊,其中一題目是,他是不是有刺青?答案是有,還講出了細節:「黃仁勳在輝達股價達到100美元時,刺了一個公司logo在身上。因為疼痛感比預期強烈,所以他不太可能再刺了。」
The reporter said that before the interview, she asked ChatGPT for information about Huang Renxun. One of the questions was, does he have tattoos? The answer is yes, and he also told the details: "Huang Renxun got a company logo tattooed on his body when Huida's stock price reached 100 US dollars. Because the pain was stronger than expected, he was unlikely to get it tattooed again."

記者追問,「ChatGPT說,你刺青的時候哭了,有嗎?」黃仁勳說,有一點,還建議刺青前,喝點烈酒或止痛藥。
The reporter asked, "ChatGPT said that you cried when you got the tattoo, did you?" Huang Renxun said, one thing, and he also recommended drinking some spirits or painkillers before getting the tattoo.

接著,記者又問,「你多久用一次ChatGPT、Bard之類的工具?」「我一直都在用Perplexity,也很喜歡ChatGPT。我幾乎每天都用。」「用來做什麼?」
Then, the reporter asked, "How often do you use tools like ChatGPT and Bard?" "I have been using Perplexity and like ChatGPT very much. I use it almost every day." "What do you use it for?"

黃仁勳說,他主要用來做研究,每當想了解一個主題,這些工具可以協助找出框架(framework),他再從這個框架裡,提出更具體的問題。
Huang Renxun said that he mainly uses them for research. Whenever he wants to understand a topic, these tools can help find a framework, and he can then ask more specific questions from this framework.

這就是AI套用在工作上的使用案例(use case)。身為記者或編輯,採訪前,有一個重要的作業環節,是蒐集受訪者相關資料,愈豐富詳盡愈好,既顯示對受訪者的尊重,也展現採訪者的用心。
This is a use case for applying AI to work. As a reporter or editor, an important step before the interview is to collect relevant information about the interviewee. The more detailed and rich the information, the better. This not only shows respect for the interviewee, but also shows the interviewer's sincerity.

從前面摘錄的對話可以看出,在資料蒐集上,ChatGPT大有助益,提供的答案切題,速度很快,我不用淹沒在資訊洪流裡,就可以得到想要的訊息。
From the conversation excerpted above, we can see that ChatGPT is very helpful in data collection. The answers provided are relevant and very fast. I can get the information I want without drowning in the torrent of information.

你想必也注意到,記者為什麼會提一個關於刺青的問題?如果我是提問者,可能就不會有這題,因為我沒有想到。
You must have noticed, why did the reporter ask a question about tattoos? If I were the questioner, I probably wouldn't have this question because I didn't think of it.

我認為,這就是AI時代,個人差異化之所在,機器做得到很多事,但是機器做的,是你建議它去做的事情。下指令者的靈感巧思才是關鍵,身為提問者,你的好奇與索求是什麼?
I think this is where personal differentiation lies in the AI ​​era. Machines can do a lot of things, but what the machine does is what you suggest it do. The inspiration and ingenuity of the person who gives the order is the key. As the questioner, what is your curiosity and exploration?

前述對話裡,我們很容易把重點放Perplexity,畢竟是黃仁勳推薦的嘛!但是試想,OpenAI執行長山姆.奧特曼(Sam Altman)會推薦ChatGPT、微軟執行長薩蒂亞.納德拉(Satya Nadella)會建議Copilot,Google執行長桑德爾.皮蔡(Sundar Pichai)會說Gemini⋯⋯不管誰背書了什麼工具,還是要回歸到同樣的問題:你到底想知道什麼?想解決什麼?你怎麼活用工具?你會問問題嗎?你會追問嗎?決定了任何一項工具如何為你所用。
In the aforementioned conversation, it is easy for us to focus on Perplexity. After all, it was Jen-Hsun Huang who recommended it! But just imagine, OpenAI CEO Sam. Sam Altman would recommend ChatGPT and Microsoft CEO Satya. Satya Nadella will recommend Copilot, Google CEO Sandel. Sundar Pichai would say Gemini... No matter who endorses what tool, it still comes back to the same question: What do you want to know? What do you want to solve? How do you use tools? Do you ask questions? Will you ask? Determines how any tool works for you.

無論談的是AI或生成式AI(generative AI),很多工具或應用日常生活中已經在用,有許多工具或應用正在生成中,未來還有更多工具應用會顛覆我們的工作或生活。想像你的履歷表裡,將來可能要開始勾選你會哪些AI工具,從現在起,就為自己的工作能力reskill和upskill。
Whether we are talking about AI or generative AI, many tools or applications are already used in daily life, many are being generated, and there will be more tools and applications that will subvert our work or life in the future. Imagine that in your resume, you may start to check which AI tools you know in the future, and from now on, reskill and upskill your work abilities.

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