【有聲書】叔本華《人生的智慧》（完整版）

影響世界的台南囝仔！NVIDIA創辦人黃仁勳現身台大畢業典禮 開口秀台語"越想越緊張" 告誡台大畢業生"不努力覓食就等著被當食物"

輝達CEO黃仁勳台大畢業演說全文六重點 一次看

 

      

 

大家好，我今天本來想說跟你們說台灣話，但是越想越緊張。我在美國長大，所以我的台灣話不是這麼標準，所以我今天跟你們說英文好不好？OK，我們來開始。各位貴賓、家長，2023年台大畢業生，大家好。今天是你們特別的日子，也是父母們的夢想實現了。

因為你們就要搬出家裡囉。今天是榮耀的日子，父母犧牲了他們自己成就了你們。我爸爸媽媽也在，我哥哥也在，就在這。我們來跟我們的父母展現我們的感謝。

過往的世界還比較簡單，當我在奧瑞岡州立大學畢業的時候，電視還不是平板的，也沒有有線電視或是MTV。電話、手機還沒有聯合在一起。那是1984年，IBM PC-AT和蘋果麥金塔開啟了個人電腦革命，也開創了我們所熟知的芯晶片、軟體產業。

而你們則是進入了一個更複雜的世界，不僅有地緣政治和環境的變化與挑戰，在科技的包圍下，我們現在可以互相連接在一起，數位世界和現實世界並行。

甚至汽車已經開始自動駕駛。經過40年，也就是電腦產業推出個人電腦以後，我們發明了AI人工智慧軟體，像是可以讓車子自動駕駛的軟體，或是分析X光圖像。

AI軟體打開了計算機自動化在各領域的大門。如今AI已經涵蓋全球最大的兆級產業，其中包含醫療保健、金融服務、交通運輸和製造業。人工智慧開啟了巨大的機遇，敏捷的公司將利用人工智慧提升他們的地位，而沒利用AI人工智慧的公司將面臨淘汰。

許多在座的企業家也將創造新公司，就像以往每一個計算機時代一樣。AI人工智慧將產生出以往不存在的新工作，像是數據工程師、智能專案工程師、人工智慧工廠操作員和人工智慧安全工程師，這些都是以往不存在的工作。自動化工作也將淘汰一些工作，甚至AI人工智慧也將改變每一個工作，提升程式設計師、設計師、藝術家、行銷人員和製造計劃者的工作表現。

就像以往的每一代人一樣，你必須學會新的技術以取得成功。每個公司和你們都必須學會善用AI人工智慧的趨勢，並與AI人工智慧共同作業做出驚人的事情。雖然有些人擔心AI人工智慧可能會取代他們的工作，但熟悉AI人工智慧的人將獲得優勢。

我們正處在一個重大技術時代的開始，就像個人電腦、互聯網、智慧手機和雲端一樣，但AI人工智慧具有更深遠的基礎性，因為它重新塑造了每一個計算層面，包括我們是如何撰寫和處理資料。AI人工智慧徹底改造了整個電腦計算，這也是電腦產業的重生，也是台灣企業的一個黃金機遇，而你們就是這產業的基石。

未來十年，我們的產業將取代全球超過1兆美元的傳統計算機，並使用新的AI人工智慧加速計算機。我的旅程比你們早40年開始，1984年是一個完美的畢業年份，我預估2023年也是如此。

我能告訴你們什麼呢？今天是你們迄今為止最成功的一天，你們在國立臺灣大學畢業了。我也曾經成功，直到我開始了NVIDIA，在NVIDIA，我經歷了失敗 而且是很大的失敗，所有的挫敗和尷尬都使我們走投無路，讓我告訴你們NVIDIA其中的三個故事。

我們發現NVIDIA可以創建加速計算機，我們的第一個應用是用於個人電腦遊戲的3D圖形，我們使用了低成本的前向紋理技術，希望SEGA能和我們一同創造他們的遊戲機，為我們的平台公司吸引遊戲廠商，並為我們公司提供資金，但經過一年的開發後，我們意識到我們的架構是錯誤的策略，因為品質上很差，而微軟正準備推出 Windows 95，是一個基於相反方法的產品。

許多公司已經在開發支持該產品的3D芯片，如果我們完成了SAGE的遊戲機，我們將構建與 Windows 不兼容的劣質技術，遠遠落後很難追趕其技術，但如果我們不完成SEGA的合約，我們就會沒錢了。

無論哪種方式我們都會破產，我聯繫了SEGA的CEO，告訴他我們的發明是錯誤的方法，SAGE應該找另一個合作夥伴，因為我們無法完成合約與遊戲機，我們不得不停下來，但我需要SEGA全額付款，否則 NVIDIA 將倒閉。當時我不好意思問，但我很驚訝SEGA時任的CEO竟然同意了，他的理解和慷慨，給了我們三個月的生存機會，我們創造了RIVA 128，就在我們沒錢的時候.。

RIVA 128震撼了年輕的3D市場，讓我們出名並拯救了整個公司，我們正視我們的錯誤，謙虛地尋求幫助拯救了NVIDIA。這個特質對於來自像你們這樣最聰明 、 最成功的人是最難的。我們在2007年宣布了CUDA計算，我們希望讓CUDA成為一種編程模型，來提升應用程序，用於科學計算、物理計算和圖像處理上，創建一個新的計算機是極具挑戰性的任務。

歷史上很少有人能成功做得到，60年來 CPU計算模型一直是標準，自 IBM System/360系統，它可能需要開發人員來編寫應用程序，並展示GPU的優勢，開發人員需要龐大的安裝基地，然而龐大的CUDA安裝基地，需要客戶購買新的應用程序，所以要解決先有雞還是先有蛋的問題。我們使用GEFORCE，我們的遊戲 GPU，用這個已經擁有龐大的市場遊戲玩家的地方，來建立安裝基地，但是這樣的成本非常高。

NVIDIA的利潤多年來遭受重創，我們的市值一度低於10億美元，我們經歷了多年來的表現不佳，我們的股東對 CUDA 持懷疑態度，並且更希望我們專注於提高盈利能力，但我們堅持了下來，我們相信加速計算的時代將會到來。

我們舉辦了一個名為 GTC 的年度技術大會，並在全球範圍內孜孜不倦地推廣CUDA，然後應用程序來了。地震數據採集、CT重建、構建分子動力學、粒子物理學、以及流體動力學、圖像處理，一個又一個科學領域。

我們與每個開發人員一起編寫他們的算法，並實現令人難以置信的加速效果，然後在2012年的時候，AI人工智慧研究人員發現了CUDA，著名的AlexNet在GEFORCE GTX 580上訓練，AI人工智慧的大爆炸就此開始，幸運的是 我們意識到了深度學習的潛力。

作為一種全新的軟體方法，並轉向我們公司的各個方面來推進這個新領域，我們不惜一切代價追求深度學習，十年後，AI人工智慧革命開始了，NVIDIA 是全球 AI 開發者的推動引擎，我們發明了 CUDA 並開創了加速計算 AI。

但在這個旅程中，鍛造了我們的企業的性格。也就是實現願景總是需要忍受痛苦和磨難。再講一個故事。2010年谷歌的目標是開發Android，變成具有出色圖形的移動計算機。手機行業擁有具備電機專業知識的芯片公司。NVIDIA 計算和圖形專業知識使我們成為Android的良好合作夥伴。於是我們進入了手機市場。

我們馬上就成功了。我們的業務和股價飆升。各行的競爭就此開始。芯片模型製造商開始學習如何構建計算機芯片，而我們開始學習如何建立模型。手機市場是巨大的。我們可以為份額而戰。相反，我們做出了艱難的決定並放棄了市場。NVIDIA 的使命是製造計算機，並解決普通計算機無法解決的問題。

我們應該致力於實現我們的願景，並做出獨特的貢獻。離開手機市場，我們的戰略撤退得到了回報。我們敞開心扉創造了一個新的市場，我們設想為機器人創造一種新型的計算機，帶有神經網絡的處理器，運行AI人工智慧算法的安全架構。我們現在擁有數十億美元的汽車和機器人業務，並開始了一個新的市場。戰略性撤退並不容易，對於像你們這樣聰明的人來說。但是，戰略性撤退意味著犧牲，決定放棄什麼才是核心，是成功的最關鍵核心。

對於2023年畢業的你們，你即將進入一個充滿機遇的世界，就像我在個人電腦和芯晶片革命中一樣。你們都是在AI人工智慧的起跑線上，每個行業都將發生革命性變化。我們準備好接受新想法，還有你的想法。在過去40年裡，我們創造了個人電腦、互聯網、移動設備、雲計算，現在是AI人工智慧時代。

你會創造什麼呢？不管是什麼，絕對要像我們一樣追趕它。追趕時代，不要緩步前行。請記得，你要嘛是為了獲取食物而奮鬥，要嘛是為了不被當成食物而奮鬥。通常你無法判斷你是哪一種情況。不管怎樣，奔跑吧！在你的旅程中，記得帶走我的一些經驗，那就是「謙虛地面對失敗」，並且承認錯誤、尋求幫助。

你必須忍受實現夢想所需的痛苦和苦難。你會做出犧牲，為了目標而獻身於生活，專注於你的使命。2023年畢業的你們，我向你們每一個人獻上我的祝福，加油！

Full Transcript: NVIDIA CEO Jensen Huang's Commencement Address at National Taiwan University

Ladies and gentlemen, esteemed faculty members, distinguished guests, proud parents, and above all, the 2023 graduating class of the National Taiwan University. Today is a very special day for you, and a dream come true for your parents.

You should be moving out soon. It is surely a day of pride and joy.So, your parents have made sacrifices to see you on this day.  My parents are here, and so is my brother. Let's show all of our parents and our grandparents, many of them are here, our appreciation.

I came to NTU for the first time over a decade ago.  Dr. Chen invited me to visit his computational physics lab. As I recall, his son, based in Silicon Valley, had learned of NVIDIA's CUDA invention and recommended his father utilize it for his quantum physics simulations.

When I arrived, he opened the door to show me what he had made. NVIDIA GeForce gaming cards filled the room, plugged into open PC motherboards, and sitting on metal shelves in the aisles were oscillating platform fans.

Dr. Chen had built a homemade supercomputer, the Taiwanese Way, out of gaming graphics cards. He started here, an early example of NVIDIA's journey.
He was so proud, and he said to me, Mr. Huang, because of your work, I can do my life's work. Those words touch me to this day, and perfectly capture our company's purpose, to help the Einstein and Da Vinci of our time do their life's work.

I am so happy to be back at NTU, and to be your commencement address.  The world was simpler when I graduated from Oregon State University.  TVs were not flat yet. There was no cable television, and MTV.

And the words mobile and phone didn't go together. The year was 1984. The IBM PC-AT and Apple Macintosh launched the PC revolution.

And started the chip and software industry that we know today. You enter a far more complex world, with geopolitical, social, and environmental changes and challenges.

Surrounded by technology, we are now perpetually connected, and immersed in a digital world that parallels our real world. Cars are starting to drive by themselves.

AI will create new jobs that didn't exist before

Forty years after the computer industry created the home PC, we invented artificial intelligence. Like software that automatically drives a car, or studies x-ray images, AI software has opened the door for computers to automate tasks for the world's largest, multi-trillion dollars of industries.

Healthcare, financial services, transportation, and manufacturing. AI has opened immense opportunities.

Agile companies will take advantage of AI, and boost their position.  Companies less so, will perish. Entrepreneurs, many of them here today, will start new companies.

And like in every computing era before, create new industries.  AI will create new jobs that didn't exist before. Like data engineering, prompt engineering, AI factory operations, and AI safety engineers.

These are jobs that never existed before.  Automated tasks will obsolete some jobs.  And for sure, AI will change every job. Supercharging the performance of programmers, designers, artists, marketers, and manufacturing planners.

Just as every generation before you embraced technologies to succeed, every company, and you, must learn to take advantage of AI. And do amazing things with an AI co-pilot by your side.

While some worry that AI may take their jobs, someone who expert with AI will. We are at the beginning of a major technology era, like PC, internet, mobile, and cloud.  But AI is far more fundamental because every computing layer has been reinvented, from how we write software to how it's processed.

AI has reinvented computing from the ground up.  In every way, this is a rebirth of the computer industry. And a golden opportunity for the companies of Taiwan.

You are the foundation and bedrock of the computer industry. Within the next decade, our industry will replace over a trillion dollars of the world's traditional computers with new, accelerated AI computers.

The first story of NVIDIA: Confronting mistakes and asking for help

My journey started 40 years before yours.  1984 was a perfect year to graduate. I predict that 2023 will be as well.

What can I tell you as you begin your journey?  Today is the most successful day of your life so far.  You're graduating from the National Taiwan University. I was also successful until I started NVIDIA.

At NVIDIA, I experienced failures.  Great big ones.  All humiliating and embarrassing. Many nearly doomed us.

Let me tell you three NVIDIA stories that define us today.

We founded NVIDIA to create accelerated computing. Our first application was 3D graphics for PC gaming.

We invented an unconventional 3D approach called forward texture mapping and curves.  Our approach was substantially lower cost. We won a contract with SEGA to build their game console, which attracted games for our platform and funded our company.

After one year of development, we realized our architecture was the wrong strategy.  It was technically poor. And Microsoft was about to announce Windows 95 Direct 3D based on inverse texture mapping and triangles.

Many companies were already working on 3D chips to support this standard. If we completed SEGA's game console, we would have built inferior technology, be incompatible with Windows, and be too far behind to catch up.

But we would be out of money if we didn't finish the contract.  Either way, we would be out of business. I contacted the CEO of SEGA and explained that our invention was the wrong approach.

That SEGA should find another partner.  And that we could not complete the contract and the console.  We had to stop. But I needed Sega to pay us in whole. Or NVIDIA would be out of business.

I was embarrassed to ask the CEO of SEGA, to his credit and my amazement, agreed.

His understanding and generosity gave us six months to live.  With that, we built RIVA 128.  Just as we were running out of money. RIVA 128 shocked the young 3D market, put us on the map, and saved the company.

The strong demand for our chip led me back to Taiwan after leaving at the age of four to meet Morris Chang at TSMC and started a partnership that has lasted 25 years. Confronting our mistake and with humility asking for help, save NVIDIA.

These traits are the hardest for the brightest and most successful like yourself.

The second story of NVIDIA: Endure pain and suffering needed to realize your dreams

In 2007, we announced CUDA GPU Accelerated Computing. Our aspiration was for CUDA to become a programming model that boosts applications from scientific computing and physics simulations to image processing. Creating a new computing model is incredibly hard and rarely done in history.

The CPU computing model has been the standard for 60 years since the IBM System 360. CUDA needed developers to write applications and demonstrate the benefits of the GPU.

Developers needed a large installed base.  A large CUDA installed base needed customers buying new applications. To solve the chicken or the egg problem, we used GeForce, our gaming GPU, which already had a large market of gamers, to build the installed base.

But the added cost of CUDA was very high.  NVIDIA's profits took a huge hit for many years. Our market cap hovered just above $1 billion.
We suffered many years of poor performance.  Our shareholders were skeptical of CUDA.  And preferred we focused on improving profitability. But we persevered.

We believed a time for accelerated computing would come.  We created a conference called GTC and promoted CUDA tirelessly worldwide. Then the applications came.

Seismic processing, CT reconstruction, molecular dynamics, particle physics, fluid dynamics, and image processing. One science domain after another, they came.

We worked with each developer to write their algorithms and achieved incredible speedups. Then, in 2012, AI researchers discovered CUDA.

The famous AlexNet trained on GeForce GTX 580 started the Big Bang of AI. Fortunately, we realized the potential of deep learning as a whole new software approach. And turned every aspect of our company to advance this new field.

We risked everything to pursue deep learning. A decade later, the AI revolution started. And NVIDIA is the engine of AI developers worldwide.

We invented CUDA and pioneered accelerated computing and AI. But the journey forged our corporate character to endure the pain and suffering that is always needed to realize a vision.

The third story of NVIDIA: Strategic retreat

One more story. In 2010, Google aimed to develop Android into a mobile computer with excellent graphics.

The phone industry had chip companies with modem expertise.  NVIDIA's computing and graphics expertise made us an ideal partner to help build Android. So we entered the mobile chip market.

We were instantly successful.  And our business and stock price surged.  The competition quickly swarmed. Modem chip makers were learning how to build computing chips. And we were learning how to build modems.

The phone market is huge.  We could fight for share. Instead, we made a hard decision and sacrificed the market.

NVIDIA's mission is to build computers to solve problems that ordinary computers cannot.  We should dedicate ourselves to realizing our vision and to making a unique contribution.

Our strategic retreat paid off.  By leaving the phone market, we opened our minds to invent a new one. We imagined creating a new type of computer for robotic computers.With neural network processor, safety architectures that run AI algorithms.

At the time, this was a zero billion dollar market. To retreat from a giant phone market to create a zero billion dollar robotics market. We now have billions of dollars of automotive and robotics business and started a new industry. Retreat does not come easily to the brightest and most successful people like yourself.

Yet, strategic retreat, sacrifice, deciding what to give up, is that a core, the very core of success?

Class of 2023, you're about to go into a world witnessing great change. And just as I was with the PC and chip revolution, you're at the beginning, at the starting line of AI.  Every industry will be revolutionized. Reborn.

Ready for new ideas. Your ideas. In 40 years, we created the PC, internet, mobile, cloud, and now the AI era.

What will you create?  Whatever it is, run after it like we did.  Run.  Don't walk. Remember, either you're running for food, or you are running from being food.

I hope that part can be translated into Chinese so that everyone can understand.

Either you're running for food, or you are running from becoming food.

And oftentimes, you can't tell which.  Either way, run.  And for your journey, take along some of my learnings. That you will have the humility to confront failure, admit a mistake, and ask for help.

You will endure pain and suffering needed to realize your dreams. And you will make sacrifices to dedicate yourself to a life of purpose and doing your life's work.

Class of 2023, I extend my heartfelt congratulations to each one of you.  Jiayou!

留住黃粱夢 Keep the Fantasy World 百歲光陰如夢蝶 留駐影音惜前緣: 影響世界的台南囝仔！NVIDIA創辦人黃仁勳現身台大畢業典禮 開口秀台語"越想越緊張" 告誡台大畢業... https://t.co/fRtOVzLgbz pic.twitter.com/5aX2j16Gqr

— Chiunghsin Hsu (@johnsunhsu) May 27, 2023

 

 

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柬浦塞上學

小滿 經典 文章 影音推薦 資深媒體人(中央通訊社駐漢城特派員) 左化鵬

 

 

資深媒體人(中央通訊社駐漢城特派員)

左化鵬

特等奖作品：《退休》經典 文章 影音推薦 考試院 李繼玄秘書長

 

 

 

 

 

考試院 李繼玄秘書長

留住黃粱夢 Keep the Fantasy World 百歲光陰如夢蝶 留駐影音惜前緣: 特等奖作品：《退休》經典 文章 影音推薦 考試院 李繼玄秘書長 https://t.co/EWSscyj3OF pic.twitter.com/QJr0IN0tAe

— Chiunghsin Hsu (@johnsunhsu) May 21, 2023