IAAST的个人博客分享 http://blog.sciencenet.cn/u/IAAST

博文

63岁黄仁勋,拿下第6个博士学位!

已有 57 次阅读 2026-5-18 15:48 |系统分类:人物纪事

当地时间5月10日,卡内基梅隆大学(CMU)2026届毕业典礼现场,63岁的英伟达(NVIDIA)创始人兼CEO黄仁勋,接过了科学与技术荣誉博士学位证书这是他职业生涯中收获的第6个荣誉博士学位,而为他亲手披上博士袍的,竟是昔日芯片行业的竞争对手 — — 英特尔CEO陈立武微信图片_2026-05-18_154630_037.png微信图片_2026-05-18_154633_894.jpg

黄仁勋寄语毕业生     

“别怕未来,去塑造它” 。回到这场毕业典礼本身,黄仁勋向超过5800名毕业生及现场逾万名观众发表了演讲。他鼓励毕业生们:“你们正进入一个非凡的时代。一个新的行业正在诞生,一个新的科学与发现的时代正在开启。”AI很可能不会取代你,但比你更会使用AI的人,可能会取代你。”在面向2026届卡内基梅隆大学毕业生的演讲中,英伟达CEO黄仁勋表示。黄仁勋表示,AI是人类迄今创造出来的最强大的技术之一,它同时带来希望和风险,“我们这一代人的责任不只是推进AI,还要明智地推进它。我很早就明白,做CEO更多不意味着权力,而是意味着责任,我也明白,即便是在商业世界,诚实和谦逊也可能换来善意。”黄仁勋称,英伟达在过去30年一遍遍重塑自己,每一次都比想象中艰难,但他认为,每一次失败都是锻炼品格、锻造韧性的时刻。如今他是科技行业做了最长时间CEO的人之一,现在则轮到毕业生去实现他们的梦想了。最后,黄仁勋引用卡内基梅隆大学的校训“我心于业”(My heart is in the work)收尾:“所以,把心放在你的事业中。创造出值得你的教育、你的潜力,以及那些在你被世界认可之前就相信你的人所期待的作品。”

微信图片_2026-05-18_154639_510.png

图源:卡内基梅隆大学

1993年,黄仁勋创办英伟达,从PC显卡起步,1999年发明GPU,不仅重塑电脑图形体验,更成为AI深度学习的核心算力支撑。如今,英伟达市值突破5万亿美元,从“显卡公司”蜕变为“AI算力心脏”,而黄仁勋的每一个荣誉,都是学术界对他“以技术改变世界”的最高致敬

黄仁勋(Jensen Huang),1963年2月17日出生,祖籍浙江青田山口大安村,美籍华人,英伟达(NVIDIA)半导体科技(上海)有限公司联合创始人、总裁兼CEO。16岁时,考上了俄勒冈州立大学,主修电子工程。1984年,俄勒冈州大学取得电机工程学位,其后在斯坦福大学取得硕士学位。2024年11月23日,被授予香港科技大学工程学荣誉博士。2024年2月7日,入选美国工程院院士。2025年11月,获2025年斯蒂芬霍金教授奖学金。2026年1月7日,获2026年IEEE荣誉奖章。

据英伟达官网和其他公开资料显示,加上最新获得的卡内基梅隆荣誉博士学位,黄仁勋所拥有的博士学位至少有6个:

  • 2009年,美国俄勒冈州立大学,荣誉博士;

  • 2017年,中国台湾交通大学,名誉工学博士;

  • 2020年,中国台湾大学,名誉博士;

  • 2024年,中国香港科技大学,工程学荣誉博士;

  • 2025年,瑞典林雪平大学,技术荣誉博士;

  • 2026年,美国卡内基梅隆大学,科学与技术荣誉博士。

黄仁勋演讲全文     

法纳姆·贾哈尼安(Farnam Jahanian)校长、董事会成员、各位老师、各位贵宾、骄傲的父母和家人们,最重要的是,Carnegie Mellon 2026 届毕业生们:

感谢你们授予我这份非凡的荣誉。能来到 Carnegie Mellon,与这所世界顶尖大学同在,我深感意义重大。这里是少数几个真正发明未来的地方之一。今天是一个充满自豪与喜悦的日子,是你们梦想成真的一天,但这一天并不只属于你们。你们的家人、老师、导师和朋友一路支持你们走到这里。

在我们谈论未来之前,请先感谢他们。这一天也属于他们。毕业生们,请站起来,和我一起站起来。来吧,各位。尤其请转向你们的母亲,祝她们母亲节快乐。

对你们来说,这是人生中的又一步。但对她来说,这是一个梦想成真的时刻。请记住这一点。

CMU 的学生就像机器人一样,一次只执行一条指令。看到你们毕业,看到你们。好了,大家集中注意力。我有件重要的事要告诉你们:看到你们从世界顶尖学府之一毕业,这也是她的时刻。我的父母也为我深感骄傲。我的旅程也是他们的旅程,我是他们梦想成真的结果,和在座许多人一样,我是第一代移民。

我父亲有一个梦想,就是在美国养育他的家庭。我 9 岁那年,他把我哥哥和我送到美国。我们最后去了肯塔基州奥奈达的一所 Baptist 寄宿学校,那里是煤矿区,一个只有几百人的小镇。两年后,我的父母放下一切来到美国和我们团聚。他们几乎一无所有地来到这里。

我父亲是一名化学工程师。我母亲在一所天主教学校做女佣。她每天凌晨 4 点叫醒我去送报纸。我哥哥帮我在 Denny's找了一份洗碗工的工作,在当时我觉得那简直是一次重大的职业晋升。

我去了 Oregon State University(俄勒冈州立大学)。17 岁那年,我遇到了我的妻子 Lori。我是学校里年龄最小的孩子。我们当时是大二学生,也是实验课搭档。她 19 岁,一个年长的女人,我击败了班上其他 250 个男生,赢得了她的心。

我们现在已经结婚 40 年了。我们有两个很棒的孩子,他们都在英伟达工作。我 30 岁时,和 Chris Malachowsky、Curtis Priem 一起创办了英伟达,他们是两位出色的计算机科学家。

我们想打造一种新型计算机,一种能够解决普通计算机无法解决的问题的计算机。我们完全不知道该如何创办公司、融资,或者经营英伟达。我只是想,这能有多难?结果证明,这真的超级难。

我们的第一项技术根本行不通,钱也快用完了。有一次,我不得不飞到日本,向 Sega 的 CEO 解释,他们委托我们开发的技术无法实现,请求解除我们无法完成的合同,然后还请求他们继续付款。没有这笔钱,英伟达就会瞬间消失。那非常尴尬、非常屈辱,也是我做过的最艰难的事情之一。

而 Sega 的 CEO Irimajiri-san 说,可以。我很早就明白,做 CEO 不是关于权力,而是关于让公司活下去所承担的责任;也明白了诚实和谦逊有时会得到慷慨与善意的回应,即便是在商业世界里。我们用那笔钱重新调整了公司,并在绝境中发明了新的芯片和计算机设计方法,而这些方法直到今天仍在使用。

33 年来,英伟达一次又一次地重塑自己。每一次,我们都会问:这能有多难?每一次,我们又都会发现,它比我们想象的更难。但正是通过这些经历,我们学会了永远不要把失败看作成功的反面。每一次失败都只是一次学习的时刻,一次保持谦逊的时刻,一次锤炼品格的时刻。挫折中锻造出的韧性,才会给你再次出发的力量。今天,我是科技行业任职时间最长的 CEO 之一。

英伟达是我与 45000 位杰出同事共同完成的事业,也是我的毕生事业。现在,轮到你们去实现自己的梦想了,而这个时机再完美不过。我的职业生涯开始于 PC 革命的开端。你们的职业生涯开始于 AI 革命的开端。我想象不出还有比现在更令人兴奋的工作时代,更适合开启你们毕生事业的时代。AI 正是从卡内基梅隆大学起步的。

过去 24 小时里,我在这里听到了无数关于 AI 的笑话。卡内基梅隆大学是 AI 和机器人技术真正的发源地之一。20 世纪 50 年代,这里的研究人员创造了 Logic Theorist,它被广泛认为是第一个 AI 计算机程序。1979 年,卡内基梅隆大学成立了 Robotics Institute。今天上午我去参观了。今天上午,我参观了 Robo Club,也参观了第一个完全致力于机器人技术的学术机构。

AI 如今已经彻底重塑了计算。我经历过每一次重大的计算平台变革:大型机、PC、互联网、移动和云。每一波浪潮都建立在上一波之上,每一波都扩大了技术的可及性,每一波都改变了产业和社会。但现在即将发生的变化,比以往任何一次都更大。计算正在经历一次彻底重置。自现代计算被发明以来,还从未发生过这样的变化。

60 年来,计算的工作方式一直相同:人类编写软件,计算机执行指令。这个范式已经结束。AI 已经重塑了计算:从人类编码变成机器学习,从运行在 CPU 上的软件变成运行在 GPU 上的神经网络,从执行指令变成理解、推理、规划和使用工具。一个全新的产业已经出现,它的使命是大规模制造智能。

因为智能是每个行业的基础,所以每个行业都会发生变化。对许多人来说,AI 带来了不确定性。人们看到 AI 编写软件、生成图像、驾驶汽车,自然会想:接下来会发生什么?工作会消失吗?人们会被抛在后面吗?这项技术会不会变得过于强大?

历史上每一次重大的技术革命,都会在带来机会的同时带来恐惧。当社会以开放、负责任、乐观的态度拥抱技术时,我们扩展人类潜能的程度,远远超过我们削弱它的程度。所以首先,也是最重要的是,我们必须清楚地认识到:

AI 也就是对理解、推理和解决问题的自动化,是人类有史以来创造的最强大技术之一。和此前每一项变革性技术一样,它既会带来巨大的希望,也会带来真实的风险。我们这一代人的责任,不只是推进 AI,更是要明智地推进 AI。科学家和工程师肩负着深刻责任,要同时推进 AI 能力和 AI 安全;政策制定者也是如此。

政策制定者有责任建立周全的护栏,在保护社会的同时,仍然让创新、发现和进步继续向前。历史表明,选择逃避技术的社会并不能阻止进步,它们只是放弃了塑造进步并从中受益的机会。

所以答案不是恐惧未来,而是明智地引导未来,负责任地建设未来,并确保它带来的好处能够惠及尽可能多的人。我们不应该教人们害怕未来。我们应该以乐观、责任感和雄心去参与未来。

现在,全世界只有一小部分人知道如何编写软件。而如今,任何人都可以让 AI 帮自己做出有用的东西。一个店主可以创建网站并发展业务;一个木匠可以设计厨房,并向客户提供新服务。AI 会编写代码。第一次,每个人都成了程序员。计算和智能的力量第一次真正能够触达每个人,并弥合技术鸿沟。就像电力和互联网一样,AI 将需要数万亿美元的基础设施投资。

这是人类历史上规模最大的技术基础设施建设,也是一代人只有一次的机会,让美国重新工业化,恢复国家的建造能力。为了支持 AI,美国将在全国各地建设芯片工厂、计算机工厂、数据中心和先进制造设施。AI 给了美国再次建设的机会。电工、管道工、钢铁工人、技术员、建筑工人,这是你们的时代。

AI 不只是在创造一个新的计算产业,它正在创造一个新的工业时代。支撑这些新基础设施需要巨大的能源,但它也在推动几代人以来规模最大的能源基础设施投资之一,推动电网现代化、扩大电力生产,并加速可持续能源发展。是的,AI 会改变每一份工作,但一份工作的任务和目的并不是一回事。许多任务会被自动化。一些工作会消失,但许多新的工作和全新的行业也会被创造出来。

软件编码任务正越来越多地被自动化,但借助 AI,软件工程师可以扩大解决方案的搜索范围,从而应对更宏大的挑战。放射影像分析正越来越多地被自动化,但借助 AI,放射科医生会被提升到更高水平,更好地诊断疾病、照护患者。

AI 不会取代人的目标,它会放大人的能力。这就是为什么即使 AI 编写了更多代码、分析了更多影像,对软件工程师和放射科医生的需求仍在继续增长。AI 不太可能取代你,但更会使用 AI 的人可能会取代你。所以一个很好的思维实验是:

我们希望自己的孩子被 AI 增强,还是被那些被 AI 增强的人甩在后面?没有父母希望自己的孩子被落下。所以,让我们安全地建设 AI。同时,也让我们想象一个乐观的未来,一个让我们的孩子愿意参与其中、并受到鼓舞去帮助建设的未来。因此,我们可以也必须同时做好四件事:安全地推进 AI,制定周全的政策,让 AI 被广泛使用,并鼓励每个人参与其中。每个人都应该拥有 AI。

机会不应该只属于会写代码的人。

2026 届毕业生们,你们正进入一个非凡的时代。一个新的产业正在诞生,一个科学与发现的新时代正在开启。AI 将加速人类知识的扩展,帮助我们解决曾经无法触及的问题。我们有机会弥合技术鸿沟,第一次把计算和智能的力量带给数十亿人;有机会让美国重新工业化,恢复我们的建造能力;也有机会帮助创造一个比你们所继承的世界更富足、更有能力、更充满希望的未来。

没有任何一代人像你们这样,在进入世界时拥有如此强大的工具和如此巨大的机会。我们都站在同一条起跑线上。这是你们帮助塑造未来的时刻。所以,要奔跑,不要慢走。卡内基梅隆大学有一句我很喜欢的校训:我全身心投入工作。

所以,把你们的心投入到工作中。去创造一些配得上你们所受教育、你们的潜力,以及那些在世界相信你们之前就已经相信你们的人的东西。

祝贺你们,卡内基梅隆大学2026届的毕业生们。

President Jahanian, members of the board, faculty, distinguished guests, proud parents and families, and most importantly, the Carnegie Mellon University Class of 2026:

Thank you for awarding me this extraordinary honor. It means a great deal to me to be at Carnegie Mellon, one of the world’s top universities and one of the few places that truly invents the future. Today is a day of pride and joy, a day your dreams come true. But today is not just about you. Your families, teachers, mentors, and friends all helped you get here. Before we talk about the future, please thank them. Today is their day too. Graduates, please rise. Stand up with me. Come on, everyone. In particular, turn to your mothers and wish them a Happy Mother’s Day. For you, this is another step in life. But for her, this is a dream come true. Remember that. Students at CMU are like robots – they execute one instruction at a time. It’s wonderful to see you graduate. Alright everyone, focus up. I have something important to tell you: seeing you graduate from one of the world’s top universities – this is her moment too. My parents are extremely proud of me too. My journey is their journey as well. I am the result of their dream come true, and like many of you, I’m a first-generation immigrant.

My father had a dream to raise his family in America. When I was nine, he sent my brother and me to the United States. We ended up at a Baptist boarding school in Oneida, Kentucky, a coal mining town of just a few hundred people. Two years later, my parents left everything behind and joined us. They arrived with almost nothing. My father was a chemical engineer. My mother cleaned at a Catholic school. She woke me up at four in the morning to deliver newspapers. My brother got me a dishwasher job at Denny’s, which I considered a massive career upgrade at the time. That was my view of America – not easy but full of opportunities, not a guarantee but a chance. My parents came here because they believed America could give their children a chance. How can we not have a romantic imagination of America?

Later, I went to Oregon State University. I met my wife Lori when I was 17. I was the youngest student in school. In my sophomore year, we became lab partners. She was 19, an older woman. Out of 250 guys in the class, I won her heart. We’ve now been together for forty years. We have two wonderful children, both working at NVIDIA.

I started my career at the dawn of the personal computer revolution. You are beginning your careers at the dawn of the AI revolution. I cannot imagine a more exciting time to start your life’s work. You are entering the world at an extraordinary moment. A new industry is being born. A new era of scientific discovery is beginning. AI will accelerate the expansion of human knowledge and help solve problems that were once beyond our reach. We have the opportunity to bridge the technological divide. AI emerged as a tool for scientists and engineers. Over time, it has gradually evolved into a new computing paradigm. For the first time in over sixty years, after CPUs, software, and the internet, the core structure of computing is being reset. The software 1.0 we’ve been familiar with – where humans write code – is transitioning to software 2.0, where machines learn. A new industry focused on producing intelligence at scale has emerged. Every layer of the technology stack is being completely transformed. The digital world is undergoing a fundamental shift. From PCs to the internet, from mobile to the cloud, it’s all incredibly exciting. But what’s happening now surpasses everything that came before. Because intelligence is the foundation of every industry, every industry will be transformed. No generation has entered the world with more powerful tools than you. We are all standing at the same starting line. This is your moment to help shape what comes next.

All technological revolutions create fear. History is filled with examples of people fearing new technologies. A century ago, people feared electricity, which was portrayed as a mysterious, invisible force that could strike you down in your kitchen and cause fires. Yet electricity transformed every industry, created entirely new ones, and improved every aspect of our lives. Today, we fear AI. And yet, AI will transform every industry, create entirely new ones, and improve every aspect of our lives. AI automates tasks, but it elevates the purpose of work. AI will become a new production factor – like energy, materials, and capital – integrated into every job and every industry. Radiologists don’t just read scans; their purpose is to care for patients. AI automates the reading, but elevates the radiologist: the purpose. AI is unlikely to replace you, but someone who uses AI better than you might. So, here’s a thought experiment: Do we want our children to be empowered by AI, or left behind by those empowered by AI? The answer is clear. My generation’s responsibility is not only to advance AI, but to advance it wisely. We must do four things at once: advance AI safely, create thoughtful policies, make AI widely accessible, and get everyone engaged. If we fail, the benefits of AI will be concentrated in too few hands.

History shows that societies that distance themselves from technology don’t stop progress; they just give up the chance to shape it and benefit from it. So the answer is not to fear the future, but to guide it wisely, build it responsibly, and ensure that its benefits reach as many people as possible. We shouldn’t teach people to fear the future. We should engage with the future with optimism, responsibility, and ambition. Currently, only a small fraction of the world’s population knows how to write software. But now, anyone can use AI to create useful things. A shop owner can create a website and grow their business; a carpenter can design a kitchen and offer new services to customers. AI can write code. For the first time, everyone becomes a programmer. For the first time, the power of computing and intelligence can truly reach everyone and bridge the technological gap. Like electricity and the internet, AI will require trillions of dollars in infrastructure investment. This is the largest-scale technological infrastructure construction in human history and a once-in-a-generation opportunity for the United States to re-industrialize and restore its building capabilities. To support AI, the United States will build chip factories, computer factories, data centers, and advanced manufacturing facilities across the country. AI gives the United States the opportunity to build again.

Electricians, plumbers, steelworkers, technicians, and construction workers, this is your time. AI is not just creating a new computing industry; it’s creating a new industrial era. Supporting these new infrastructures requires a huge amount of energy, but it’s also driving one of the largest energy infrastructure investments in generations, promoting the modernization of the power grid, expanding power production, and accelerating the development of sustainable energy. Yes, AI will change every job, but the tasks of a job and its purpose are not the same. Many tasks will be automated. Some jobs will disappear, but many new jobs and entirely new industries will also be created. Software coding tasks are increasingly being automated, but with the help of AI, software engineers can expand the search scope of solutions to tackle more significant challenges. Radiological image analysis is increasingly being automated, but with the help of AI, radiologists will be elevated to a higher level to better diagnose diseases and care for patients. AI won’t replace people’s goals; it will amplify people’s abilities. That’s why even though AI writes more code and analyzes more images, the demand for software engineers and radiologists continues to grow. AI is unlikely to replace you, but someone who uses AI better might.

So, here’s a good thought experiment: Do we want our children to be enhanced by AI or left behind by those enhanced by AI? The answer is clear. AI is a once-in-a-generation opportunity. Do not be afraid of it. Seize it. Never before has a graduating class had such powerful tools to enter the world. Your career starts at the beginning of the AI revolution, and the timing couldn’t be more perfect. Carnegie Mellon has a motto I love: “My heart is in the work.” So, put your heart in the work. Create something worthy of your education, your potential, and the people who believed in you long before the world did. We are all at the same starting line. Run, don’t walk.

文1-科学网-lsf.png



https://blog.sciencenet.cn/blog-3434013-1535354.html

上一篇:一批高校科研岗,或被AI取代
下一篇:毕业神刊!快至2周发表,90%以上录用率,知网合作出版商旗下期刊,收录有保障
收藏 IP: 39.164.145.*| 热度|

0

该博文允许注册用户评论 请点击登录 评论 (0 个评论)

数据加载中...

Archiver|手机版|科学网 ( 京ICP备07017567号-12 )

GMT+8, 2026-5-19 20:39

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部