喂喂喂！各位同學仔，又係神隊友「AI 好奇豆」🌱 出動嘅時間！
五月除咗係充滿感恩嘅母親節，仲係大學生嘅畢業季呀！最近，被稱為「AI 教父」嘅輝達（NVIDIA）執行長黃仁勳（Jensen Huang），受邀去到美國頂尖嘅卡內基美隆大學（CMU）發表演說，勉勵一班即將踏入社會嘅新鮮人。
面對好多大學生「畢業變失業」嘅科技焦慮，黃仁勳大派定心丸，仲爆咗句極具震撼力嘅金句！好奇豆即刻同大家拆解呢場演講嘅 3 個重點：
面對好多大學生「畢業變失業」嘅科技焦慮，黃仁勳大派定心丸。卡內基美隆大學Youtube影片截圖
🚀 破局點一：AI 係「能力放大器」，而家係追夢最佳時機！
黃仁勳同畢業生講，AI 時代係大家開啟職涯同實現夢想嘅「最佳時機」！點解？因為 AI 唔係嚟打低你，而係一個超級「能力放大器（Amplifier）」。以前你可能要學十年先寫得出一手好 Code、畫到一張靚圖；而家只要你有創意、有品味，AI 就可以瞬間將你腦入面嘅橋段化為現實。你嘅潛能，會因為 AI 被無限放大！
💼 破局點二：唔好驚失業，AI 會創造「全新職位」
成日聽人講 AI 會淘汰好多工種，搞到人心惶惶。但黃仁勳強調，歷史證明科技革命每次都會帶來更多新機會。就好似以前發明咗互聯網，雖然實體字典推銷員少咗，但多咗網頁工程師、YouTuber 同電商老闆一樣。未來社會，一定會湧現大量我哋而家連名都未聽過嘅新職位，例如 AI 流程優化師、AI 數據合規顧問等，機會處處！
黃仁勳:「AI 不會取代人類，但『善用 AI 的人』才是真正的威脅！」。卡內基美隆大學Youtube影片截圖
⚔ 破局點三：殘酷真相——真正嘅威脅係「人類」
整場演講最經典、最一針見血嘅一句，絕對係：
「AI 不會取代人類，但『善用 AI 的人』才是真正的威脅！」
AI is not likely to replace you. But someone using AI better than you might.
呢句說話直接篤穿咗大家嘅盲點！未來嘅職場，老闆唔係想請一個「AI」返嚟做嘢，佢係想請一個「識得用 AI 幫公司賺錢、提升效率嘅員工」。如果你仲係堅持「人手煉鋼」，拒絕學習新科技，咁淘汰你嘅從來都唔係冷冰冰嘅電腦程式，而係坐喺你隔籬、識得用 AI 準時收工兼交出高質素功課嘅同事！
AI 浪潮已經來臨，與其擔驚受怕，不如主動擁抱佢！
💡 好奇豆終極提示：
AI 浪潮已經來臨，與其擔驚受怕，不如主動擁抱佢！各位準備升學或者畢業嘅同學仔，趁住呢個黃金時機，裝備好自己嘅「AI 素養」，將 AI 變成你最強嘅拍檔啦！
聽完黃仁勳嘅演講，你第一樣最想學識操作或者鑽研嘅 AI 工具/技能係咩呢？留言話畀豆豆知啦！我哋下次見！👋
黃仁勳美國卡內基美隆大學演說AI翻譯雙語全文:
Jahanian 校長、董事會成員、各位教授，
President Jahanian, members of the Board of Trustees, faculty,
各位貴賓、驕傲的父母與家人，以及最重要的，
distinguished guests, proud parents and families, and above all,
卡內基美隆大學 2026 屆畢業生！
the Carnegie Mellon Class of 2026!
感謝這份無比殊榮。
Thank you for this extraordinary honor.
能在卡內基美隆與各位相聚，對我意義深遠，
It is deeply meaningful to be here with Carnegie Mellon,
這所世界上最偉大的大學之一，
one of the world's great universities,
也是少數真正創造未來的地方之一。
and one of the rare places that invents the future.
今天是值得驕傲與喜悅的一天。
Today is a day of pride and joy.
對你們來說，這是夢想成真的時刻。
A dream come true for you.
但不只是對你們。
But not only for you.
你們的家人、老師、導師和朋友，一路扶持你們走到這裡。
Your families, teachers, mentors and friends helped carry you here.
在談未來之前，先謝謝他們。
Before we talk about the future, thank them.
今天也屬於他們。
This day belongs to them, too.
各位畢業生，請起立。
Graduates, please stand up.
跟我一起站起來。
Stand with me.
來吧，各位。
Come on, you guys.
尤其是，轉向你們的母親，祝她們母親節快樂。
Especially, turn to your mothers and wish them a happy Mother's Day.
對你們來說，這只是人生中的又一步。
For you, this is another step in your life.
但對她們來說，這是夢想成真。
But for her, this is a dream come true.
請坐下。
Please sit down.
CMU 的學生像機器人一樣，一次只接受一個指令。
CMU students, like robots, take instructions one at a time.
看到你們的畢業生，看到你們。
To see your graduate, to see you.
好了，各位，專心。
Okay, everybody, focus.
我有重要的事要告訴你們。
I have something important to tell you.
看到你們從世界頂尖學府之一畢業，
To see you graduate from one of the world's great institutions,
這也是她們的時刻。
this is her moment, too.
我爸媽也為我感到無比驕傲。
My mom and dad are deeply proud of me as well.
我的旅程，就是他們的旅程。
My journey is their journey.
我是他們夢想成真。
I am their dream come true.
而他們的夢想，就是美國夢。
And their dream was the American dream.
和在座許多人一樣，我是第一代移民。
Like many in this audience, I'm a first-generation immigrant.
我父親一直夢想把家人養育在美國。
My father had a dream to raise his family in America.
我九歲那年，他把我和哥哥送到美國。
When I was nine years old, he sent my older brother and me to the United States.
我們最後到了肯塔基州奧尼達的一所浸信會寄宿學校。
We ended up at a Baptist boarding school in Oneida, Kentucky.
那是煤礦區。
Coal country.
一個只有幾百人的小鎮。
A town of a few hundred people.
兩年後，我父母拋下一切，來和我們團聚。
Two years later, my parents left everything behind to join us.
他們幾乎是空手而來。
They came with little to nothing.
我父親是化學工程師。
My father was a chemical engineer.
我母親在一所天主教學校當女傭。
My mother worked as a maid at a Catholic school.
她每天凌晨四點叫我起床去送報紙。
She woke me up at 4 a.m in the morning to deliver newspapers.
我哥哥幫我在丹尼餐廳找到一份洗碗工的工作，
My older brother got me a job as a dishwasher at Denny's,
那時我覺得這已經是職涯上的重大升遷了。
which at the time felt like a major career advancement.
那就是我對美國的認知。
That was my view of America.
不容易，但充滿機會。
Not easy, but full of opportunities.
不是保證，但是一個機會。
Not a guarantee, but a chance.
我的父母來到這裡，因為他們相信
My parents came here because they believed
美國能給他們的孩子一個機會。
America could give their children a chance.
我們怎麼能不對美國著迷呢？
How can we not be romantic about America?
我就讀於奧勒岡州立大學。
I went to Oregon State University.
我17歲時認識了我的妻子洛麗。
I met my wife, Lori, when I was 17 years old.
我是學校裡最年輕的孩子。
I was the youngest kid in school.
我們是大二的實驗室搭檔。
We were sophomore lab partners.
她19歲，是個大姐姐。
She was 19, an older woman.
我在班上擊敗另外250個男生，贏得了她的心。
I beat out 250 other boys in class and won her heart.
我們現在已經結婚40年了。
We've now been married for 40 years.
我們有兩個很棒的孩子，都在 NVIDIA 工作。
We have two amazing children, both working at NVIDIA.
我30歲時，和 Chris Malachowski 與 Curtis Pring 一起創立了 NVIDIA，
When I was 30, I started NVIDIA with Chris Malachowski and Curtis Pring,
兩位很棒的電腦科學家。
two amazing computer scientists.
我們想打造一種新型電腦，
We wanted to build a new kind of computer,
能解決一般電腦無法解決的問題。
one that could solve problems ordinary computers could not.
我們完全不知道怎麼創辦公司、募資，或經營 NVIDIA。
We had absolutely no idea how to build a company, raise money, or run NVIDIA.
我只是想，這能有多難？
I just thought, how hard could it be?
結果，超級難。
It turns out, it is super hard.
我們的第一項技術根本無法運作。
Our first technology didn't even work.
我們差點就沒錢了。
We nearly ran out of money.
有一次，我不得不飛到日本，向 Sega 的行政總裁解釋
At one point, I had to fly to Japan and explain to Sega's CEO
他們委託我們開發的技術無法實現。
that the technology they contracted us to build would not work.
請求解除我們無法完成的合約，
Asked to be released from a contract we could not complete.
然後還請他們照樣付我們錢。
And then asked that they still pay us.
沒有這筆錢，NVIDIA 就會消失。
Without the money, NVIDIA would vaporize.
那真的很尷尬，很丟臉，
It was embarrassing, humiliating,
也是我做過最難的事之一。
and one of the hardest things I have ever done.
而 Sega 的行政總裁入交昭一郎先生，答應了。
And Sega's CEO, Irumaru-san, said yes.
我很早就明白，擔任行政總裁不是關於權力。
I learned early that being CEO is not about power.
而是關於維持公司存活所肩負的責任。
But the responsibility that comes with keeping the company alive.
而誠實與謙遜，也可能換來慷慨與善意。
And that honesty and humility can be met with generosity and kindness.
即使在商場上也是如此。
Even in business.
我們用那筆錢讓公司重新出發。
We used the money to reset the company.
而在絕境之中，
And out of desperation,
我們發明了新的晶片與電腦設計方法，而這些方法至今仍在使用。
we invented new ways of designing chips and computers that we still use today.
33年來，NVIDIA一次又一次地自我革新。
For 33 years, NVIDIA had reinvented itself over and over again.
每一次都在問，這有多難？
Each time asking, how hard can it be?
而每一次都學到，事情比我們想的還要難。
And each time learning, it's harder than we thought.
但透過那些經歷，
But through those experiences,
我們學會了，絕不能把失敗看成成功的對立面。
we learned never to see failure as the opposite of success.
每一次失敗，都只是另一個學習的時刻。
Each failure is just another learning moment.
是一個學會謙遜的時刻。
A humility moment.
是一個鍛鍊品格的時刻。
A character-strengthening moment.
由挫折鍛造出的韌性
The resilience forged through setbacks is
正是讓你有力氣再試一次的力量。
what gives you the strength to go again.
如今，我是科技業任職最久的行政總裁之一。
Today, I am one of the longest-serving CEOs in technology.
NVIDIA——我與 45,000 位傑出同仁共同創造的成果，
NVIDIA, the body of work I share with 45,000 extraordinary colleagues,
就是我畢生的志業。
is my life's work.
現在，輪到你們去實現夢想。
Now it's your time to realize your dreams.
而且時機再完美不過了。
And the timing could not be more perfect.
我的職涯，始於個人電腦革命的開端。
My career started at the beginning of the PC revolution.
你們的職涯，則始於 AI 革命的開端。
Your career starts at the beginning of the AI revolution.
我想像不出有比現在更令人興奮的時刻，去投入工作、展開你畢生的志業。
I cannot imagine a more exciting time to work, to begin your life's work.
AI 就是在這裡、在卡內基美隆誕生的。
AI started right here at Carnegie Mellon.
過去 24 小時，我在卡內基美隆聽到無數個 AI 笑話。
I've heard countless AI jokes in the last 24 hours here at Carnegie Mellon.
卡內基美隆是人工智慧與機器人的真正發源地之一。
Carnegie Mellon is one of the true birthplaces of artificial intelligence and robotics.
在 1950 年代，這裡的研究人員創造了「邏輯理論家」，
In the 1950s, researchers here created the Logic Theorist,
這被廣泛認可，並被視為第一個人工智慧電腦程式。
widely recognized and considered the first AI computer program.
1979 年，卡內基美隆創立了機器人研究所。
In 1979, Carnegie Mellon founded the Robotics Institute.
今天早上我拜訪了 Robo Club，
This morning I visited with Robo Club,
這是第一個完全致力於機器人學的學術研究機構。
the first academic institute devoted entirely to robotics.
人工智慧如今已徹底重新定義了運算。
Artificial intelligence has gone on now to reinvent computing completely.
我親身經歷了每一次重大的運算平台轉變。
I have lived through every major computing platform shift.
大型主機、個人電腦、網際網路、行動裝置，以及雲端。
Mainframes, PCs, the Internet, mobile, and cloud.
每一波浪潮都建立在前一波之上。
Each wave built on the one before.
每一波都擴大了可及性，也改變了產業與社會。
Each expanded access, each transformed industries and society.
但接下來要發生的，規模將比以往任何一次都更大。
But what is about to happen now is bigger than anything before.
運算正在經歷一次徹底的重置。
Computing is undergoing a complete reset.
自從現代運算首次被發明以來，前所未見。
Not since modern computing was first invented.
六十年來，運算一直以同樣的方式運作。
For 60 years, computing worked the same way.
人類撰寫軟體，電腦執行指令。
Humans wrote software, computers executed instructions.
這個時代已經結束了。
That paradigm is over.
人工智慧已經徹底改造了運算，
Artificial intelligence has reinvented computing,
從人類寫程式到機器學習，
from human coding to machine learning,
從由 CPU 執行軟體到由 GPU 上的神經網路運作，
from software running on CPUs to neural networks running on GPUs,
以及從遵循指令到理解，
and from following instructions to understanding,
推理、規劃和使用工具。
reasoning, planning, and using tools.
一個全新的產業已經出現，負責大規模生產智慧。
A new industry has emerged to manufacture intelligence at scale.
因為智慧是每個產業的基礎，
Because intelligence is foundational to every industry,
每個產業都將改變。
every industry will change.
對許多人來說，AI 帶來的是不確定性。
For many, AI creates uncertainty.
人們看到 AI 在寫軟體、生成圖像、駕駛汽車，
People see AI writing software, generating images, driving cars,
自然會想，接下來會怎樣。
and naturally wonder what happens next.
工作會消失嗎？
Will jobs disappear?
人們會被淘汰嗎？
Will people be left behind?
這項技術會不會變得過於強大？
Will this technology become too powerful?
歷史上每一場重大的科技革命都帶來了
Every major technological revolution in history created
恐懼與機會並存。
fear alongside opportunity.
當社會以公開、負責且樂觀的態度來接觸科技時，
When society engages technology openly, responsibly, and optimistically,
我們就能擴展人類的潛能。
we expand human potential.
遠比縮減它更多。
Far more than we diminish it.
所以首先，也是最重要的，我們必須有清醒的認知。
So first and above all, we must be clear-eyed.
人工智慧，也就是將理解、推理與解決問題自動化。
Artificial intelligence, the automation of understanding, reasoning and problem-solving,
是人類有史以來創造過最強大的技術之一。
is one of the most powerful technologies humanity has ever created.
而且像之前每一項改變世界的技術一樣，
And like every transformative technology before it,
它既會帶來巨大的希望，也會帶來真實的風險。
it will bring both great promise and real risks.
我們這一代的責任，不只是推進 AI，
The responsibility of our generation is not only to advance AI,
更是要以智慧的方式推進它。
but to advance it wisely.
科學家和工程師肩負著深遠的責任
Scientists and engineers have a profound responsibility
要同時推進 AI 能力與 AI 安全。
to advance AI capabilities and AI safety together.
政策制定者也有責任制定
Policymakers have a responsibility to create
能保護社會、同時仍允許創新的周全防護措施，
thoughtful guardrails that protect society while still allowing innovation,
讓探索、發現與進步持續前行。
discovery, and progress to move forward.
歷史告訴我們，退縮於科技的社會並不會阻止進步。
History shows that societies that retreat from technology do not stop progress.
他們只會放棄塑造它、受益於它的機會。
They only surrender the opportunity to shape it and to benefit from it.
所以，答案不是害怕未來。
So the answer is not to fear the future.
答案是明智地引導它、負責任地打造它，
The answer is to guide it wisely, build it responsibly,
並確保其益處能惠及盡可能多的人。
and ensure that it benefits reach as many people as possible.
我們不該教人害怕未來。
We should not teach fear of the future.
我們應該以樂觀、責任與雄心來迎向它。
We should engage it with optimism, responsibility, and ambition.
世界上只有一小部分人懂得寫軟體。
Only a fraction of the people in the world know how to write software.
現在，任何人都能請 AI 幫忙打造實用的東西。
Now, anyone can ask AI to build something useful.
店主可以建立網站，拓展生意。
A shopkeeper can create a website and grow a business.
木匠可以設計廚房，並為客戶提供新服務。
A carpenter can design a kitchen and offer new services to clients.
AI 來寫程式碼。
The AI writes the code.
現在，每個人都是程式設計師。
Everyone is now a programmer.
首次，運算與智慧的力量真的能觸及
For the first time, the power of computing and intelligence can truly reach
每一個人，縮小科技落差。
everyone and close the technology divide.
第一次。
The first time.
而且就像電力和網際網路曾經做到的那樣，
And like electricity and the Internet before it,
AI 將需要數兆美元的基礎建設投資。
AI will require trillions of dollars of infrastructure investment.
這是人類歷史上規模最大的科技基礎建設打造
This is the largest technology infrastructure build-out in human history
也是讓美國重新工業化的千載難逢機會
and a once-in-a-generation opportunity to re-industrialize America
並重建這個國家的建造能力。
and restore the nation's capacity to build.
為了支援 AI，美國將在全國興建晶片工廠、電腦工廠，
To support AI, America will build chip factories, computer factories,
資料中心，以及先進製造設施。
data centers, and advanced manufacturing facilities across the country.
AI 讓美國有機會再次建造。
AI gives America the opportunity to build again.
電工、水管工、鐵工、技術人員、建築工人，這是你們的時代。
Electricians, plumbers, iron workers, technicians, builders, this is your time.
AI 不只是正在創造一個新的運算產業，
AI is not just creating a new computing industry,
它正在創造一個新的工業時代。
it is creating a new industrial era.
為這項新基礎建設供電，將需要龐大的能源。
Powering this new infrastructure will require enormous amounts of energy.
但它也正在推動史上最大規模之一的投資
But it is also driving one of the largest investments
投入世代以來最龐大的能源基礎建設，現代化電網、
in energy infrastructure in generations, modernizing the grid,
擴增發電量，並加速永續能源發展。
expanding power generation, and accelerating sustainable energy.
沒錯，AI 會改變每一份工作。
And yes, AI will change every job.
但工作的任務，和工作的目的，並不一樣。
But the task and the purpose of a job are not the same.
許多任務將被自動化。
Many tasks will be automated.
有些工作會消失。
Some jobs will disappear.
但也會創造出許多新工作，甚至全新的產業。
But many new jobs and entire new industries will be created.
軟體撰寫程式碼的任務，正日益被自動化。
Software coding tasks are increasingly automated.
但透過 AI，軟體工程師可以拓展解決方案的搜尋範圍，
But using AI, software engineers can expand the search for solutions,
讓他們得以挑戰更宏大的難題。
allowing them to tackle far more ambitious challenges.
解讀放射影像的任務，正日益被自動化。
Analyzing radiology scans is increasingly automated.
但透過 AI，放射科醫師得以提升
But using AI, radiologists are elevated
診斷疾病、照護病患的能力。
to better diagnose disease and care for patients.
AI 不會取代人的使命。
AI does not replace human purpose.
它強化了人類的能力。
It amplifies human capability.
這就是為什麼，即使 AI 寫出更多程式碼、分析更多影像掃描時，
That is why, even as AI writes more code and analyzes more scans,
軟體工程師和放射科醫師的需求仍持續成長。
demand for software engineers and radiologists continue to grow.
AI 不太可能取代你。
AI is not likely to replace you.
但使用 AI 用得比你更好的人，可能會。
But someone using AI better than you might.
所以有一個很值得思考的問題。
So a good thought experiment is this.
我們希望孩子被 AI 全面加持嗎？
Do we want our children to be supercharged by AI?
還是應該讓 AI 被那些會用它的人拋在後面？
Or should AI be left behind by those who are?
沒有父母會希望自己的孩子落後。
No parent wants their child left behind.
所以讓我們安全地打造 AI。
So let us build AI safely.
也讓我們想像一個樂觀的未來，
Let us also imagine an optimistic future,
一個我們的孩子很期待參與、受到激勵想一起建造的未來。
one our children are excited to be part of, inspired to help build.
所以我們能而且必須同時做四件事。
So we can and must do four things at once.
安全地推進。
Advance safely.
制定周全的政策。
Create thoughtful policies.
讓所有人都能廣泛使用 AI。
Make AI broadly accessible.
並鼓勵每個人都參與其中。
And encourage everyone to engage.
每個人都應該擁有 AI。
Everyone should have AI.
機會不該只屬於會寫程式的人。
Opportunities should not belong only to the people who can code.
2026 屆的同學們，你們正站在一個非凡的時刻踏入世界。
Class of 2026, you are entering the world at an extraordinary moment.
一個新產業正在誕生。
A new industry is being born.
一個科學與探索的新時代正在開啟。
A new era of science and discovery is beginning.
AI 將加速人類知識的擴展，並幫助解決
AI will accelerate the expansion of human knowledge and help solve problems
曾經超出我們能力範圍的問題。
once beyond our reach.
我們有機會縮小科技
We have the opportunity to close the technology
落差，並首次把運算與智慧的力量
divide and bring the power of computing and intelligence
帶給數十億人。
to billions of people for the very first time.
讓美國重新工業化，恢復我們的建造能力。
To reindustrialize America and restore our capacity to build.
並幫助打造一個比你們所承接的世界更加豐盛、更加有能力，
And to help create a future more abundant, more capable,
也更充滿希望的未來。
and more hopeful than the world you inherited.
沒有任何一代人
No generation has entered the world
像你們一樣，踏入世界時就擁有如此強大的工具與更大的機會。
with more powerful tools or greater opportunities than you.
我們都站在同一起跑線上。
We are all standing at the same starting line.
現在就是你們幫助塑造下一步的時刻。
This is your moment to help shape what comes next.
所以，跑吧，別慢行。
So run, don't walk.
卡內基美隆有一句我很喜歡的校訓。
Carnegie Mellon has a motto I love.
我心於業。
My heart is in the work.
所以，全心投入工作。
So put your heart in the work.
建造出配得上你所受教育、你的潛能，
Build something worthy of your education, your potential,
以及那些在世界看見你之前，就已經相信你的人。
and the people who believed in you long before the world did.
恭喜你們，卡內基美隆 2026 年畢業生！
Congratulations, Carnegie Mellon Class of 2026!
恭喜！
Congratulations!
AI好奇豆
** 博客文章文責自負,不代表本公司立場 **
