苏姿丰 MIT 2026 毕业演讲核心观点中英文对照
手脑并用是真正的工程精神
英文：Mens et Manus. Mind and Hand. MIT teaches you to think deeply but also to build, to test ideas, to keep going when experiments don’t work.
中文：手脑并用。MIT 教会你深度思考，更教会你动手创造、检验想法，实验失败时依然坚持。
冲向最难的问题，才能真正成长
英文：Run toward the hardest problems. Hard problems really teach you what you’re capable of.
中文：冲向最难的问题。难题，才会真正教会你能成为什么样的人。
真正的自信：不是知道答案，而是能找到答案
英文：Not the confidence that I would always know the answer, but the confidence that even when I didn’t know, I could figure it out.
中文：不是相信我永远知道答案，而是相信：就算我不知道，我也能把它找出来。
工程师本能：拆解问题、步步推进、团队共战
英文：The engineer’s instinct: face what seemed unsolvable, break it down, methodically work through step by step. It’s even more powerful when shared by a team.
中文：工程师本能：面对看似无解的问题，拆解它、一步步推进。当团队共享这种思维时，力量会被无限放大。
AI 是放大器，但未来由人决定
英文：Technology itself does not decide what the future looks like. The best people do. AI can’t decide which problems are worth solving. These are our responsibilities.
中文：技术本身不会决定未来，优秀的人才会。AI 无法决定哪些问题值得解决，这是我们的责任。
未来十年的人类发现，将超过过去三十年
英文：We may discover more in the next ten years than we have in the last thirty.
中文：未来十年，人类的新发现可能会超过过去三十年。
优秀的人不只是等运气，而是自己创造运气
英文：The best people find ways to make their own luck. Luck is taking the risk to work on something really hard.
中文：最优秀的人，会自己创造运气。运气，是敢于去挑战真正困难的事。
人生总会走进陌生领域，但你早已具备能力
英文：You’re going to walk into another room where you have absolutely no idea what you’re doing. You’ve done this before. Go figure it out.
中文：你会走进全新的场合，完全不知道自己在做什么。但你曾经做到过。去解决它。
以下为演讲全文（中文）
大家下午好。校长阁下、董事会主席、各位校董、老师们、亲友们，以及最重要的 —— 麻省理工学院 2026 届的全体毕业生们：祝贺你们。
这是你们应得的荣誉。站在这里，我的感受和预想中完全不同。这些年我做过无数次演讲，但这一次格外私人。而且正如墨菲定律所说，偏偏这周我的嗓子哑了。如果声音有些沙哑，请大家多包涵。但我依然无比开心能来到这里，和你们分享我的故事。
1986 年秋天，我来到 MIT。父母把我送到 Next House 宿舍。那年我 17 岁，出生在台湾，在纽约皇后区长大。我一直觉得自己数学不错，直到我选了 6.001 和 6.002 两门课。
大概两周之内，我就意识到：MIT 里厉害的人实在太多了。我盯着第一道作业题，心里只有一个念头：这也太难了。我在大一之前从没熬过夜，而在这里，熬夜成了常态。虽然辛苦，但和同学们一起奋战的时光，充满乐趣。
MIT 有一种神奇的力量，它会把你推向远超自己想象的边界。你死磕一个难题，炸掉一两个电路 —— 没错，你们很多人都干过。然后不知怎么，它突然就成了。那一刻你会发现：你真的能造出实实在在的东西。也就是从那时起，我开始觉得自己像一名工程师。
MIT 最棒的地方之一，是本科生就能参与真正的前沿研究。这件事彻底改变了我的人生。我的第一次 UROP 科研项目，是在 39 号楼汉克・史密斯教授的实验室。我听说这栋楼现在已经停用搬迁了。我们当时在为一名研究生制作 X 射线光刻掩模。说实话，那时候我根本不懂这是什么。
但我穿上了人生第一件无尘服，走进超净间，在 2 英寸的晶圆上制造器件 —— 在当年，这已经是最顶尖的技术。我很快学会了小心谨慎，因为这些晶圆极其脆弱，我绝不想成为那个弄坏它的人。
我做了大量实验，大多数都没有得到预期的结果。于是我们调整方案，再次尝试。而这一切，酷到极致。
我第一次不再只是在课堂上学技术，而是真正成为一支探索新知团队的一员。
我当时心想：天啊，我们竟然能造出这么微小的东西 —— 小到能放在硬币大小的芯片上，却强大到足以改变世界。
就是那一刻，我爱上了半导体。
后来，我有幸跟随德米特里・安东尼亚迪斯教授攻读博士，他也成为了我的博士生导师。正是在那里，我真正学会了如何解决问题。我记得自己在超净间泡了整整几周，制作器件，然后把晶圆送到测试实验室，却发现它们的表现完全不符合预期。
于是我回到教授的办公室，和他一起分析下一步该怎么做。
现在回头看，那大概是我在 MIT 成长最快的时光。
一点一滴，我从一个刚入门的研究生，逐渐成长为能够开展原创研究、真正为领域做出贡献的人。
在这个过程中，我开始相信自己。
不是相信我永远知道答案，而是相信：就算我不知道答案，我也能把它找出来。
我现在才明白，MIT 教给我的远不止半导体器件物理，而是 **“手脑并用”（Mens et Manus）**。
读书时，我以为这只是一句校训。如今我才懂得，它正是 MIT 最独特的灵魂。
MIT 教会你深度思考，更教会你动手创造、验证想法；教会你在第一次、甚至第五次实验失败时依然不放弃。久而久之，你会相信：那些曾经看似不可能的难题，你真的能攻克。
离开校园后，这份信念一直伴随着我。
刚加入 IBM 时，我相当于一切从零开始。IBM 拥有几十万员工，25 岁的我不禁怀疑：在这么庞大的公司里，我真的能带来改变吗？
但我很快学到重要的一课：工程不在乎你的年龄，只在乎你有没有好想法。
一位导师对我说了一句让我终身难忘的话：
“冲向最难的问题。”
当时我未必完全理解，但如今我知道，这是我听过最好的建议。
难题，才会真正教会你能成为什么样的人。
时间快进，十二年前，我迎来了检验这句话的机会 —— 我出任了 AMD 的 CEO。
AMD 当时潜力巨大，但已经历了多年低谷。一些导师甚至认为，接受这份工作相当冒险。
但对我来说，这是梦想的工作。
这是我这么多年学习与训练的终极目标：有机会站在科技最前沿，解决真正重要的问题。
我们要做的第一件事，就是想清楚：这家公司未来要成为什么。
我们下了一个长期赌注：高性能计算将是未来最重要的技术。
我们给了团队大胆想象的空间。
在随后几年里，我们打造出支撑世界最强计算机的技术。
我可以坦诚地说：一路走来，我用到了 MIT 教给我的每一项能力，甚至更多。
我把它总结为一种 “工程师本能”
面对看似无解的问题，把它拆解，然后一步一步、有条不紊地解决它。
但我还学到另一件事：
当一个团队共享这种工程师本能时，它的力量会被无限放大。
我职业生涯最大的满足感，就是把一群人凝聚在一起，完成我们任何人都无法单独想象的成就。
这也把我带到了今天，带到了你们面前。
过去几十年，我们经历了数次重大技术变革：
互联网改变了沟通方式，移动计算改变了生活方式，云计算改变了工作方式。
而现在，我们正站在AI 浪潮的起点。
在我看来，AI 和以往所有浪潮都截然不同。
它不只是一个让我们更快做事的工具 —— 我们从不缺工具。它的意义更为深刻：
它有潜力加速所有领域的发现，帮助我们解决从未被解决的难题。
对我个人而言，最让我激动的，是 AI 在医疗健康领域的可能。
我们都体会过，当所爱之人患病时的无力。即便拥有最优秀的医生、最好的医疗条件，我们也很难在关键时刻汇集全人类已有的全部知识。
AI 可以改变这一切。
它能帮助医生和研究者，把全球顶尖的专业知识带给每一位病人、每一个家庭，提供最有可能成功的治疗方案。
我相信，这是 AI 最美好的使命。
简单来说：AI 让我们每一个人变得更强大。
无论是医学、科研、能源、气候领域，未来十年，人类的新发现可能会超过过去三十年。
但我必须明确一点：
技术本身不会决定未来，优秀的人才才会。
无论 AI 能力多强，它无法决定哪些问题值得解决；
它无法在数据缺失时做出艰难判断；
它无法为结果承担责任。
这些，都是我们的责任。
而这份责任，比以往任何时候都更加重要。
这正是我认为，你们在此时从 MIT 毕业意义非凡的原因。
这个世界不只是需要懂得使用强大工具的人，
更需要知道为何而用的人。
需要有目标、有判断力、有勇气的人。
需要那些面对难题，依然能说出：
“这件事至关重要，我们一定能解决。”
而你们，正是 MIT 培养出的这样的人。
最后，我想留给你们几句话。
我在很多方面都很幸运：我有伟大的父母，接受了顶尖的教育，有机会和最优秀的人共事。但我也相信，我的职业生涯充满了 “运气”。
每当有人问我职业建议，我总会说：你必须极度努力，但也要明白，运气很重要。
而我逐渐相信：最优秀的人，会自己创造运气。
运气不只是在正确的时间出现在正确的地点。
运气是：
敢于挑战真正困难的事；
敢于逼自己走出舒适区；
敢于选择那些你暂时没有答案的问题；
敢于和那些能让你变得更好的人同行。
更重要的是：
相信你们自己 ——2026 届的毕业生们，你们可以改变世界。
所以，请对自己要解决的问题，保持极致的野心。
冲向最难的问题。
相信 MIT 赋予你的那份工程师本能。
这，就是你创造运气的方式。
我想特别感谢今天到场的所有家人与亲友。
没有你们，毕业生们无法走到这里。
谢谢你们相信他们、支持他们、陪伴他们抵达这一刻。这份荣耀也属于你们。
最后，我想对 2026 届的你们说：
在未来的某一天，你会走进一个全新的场合，完全不知道自己在做什么。
但你曾经做到过。
去解决它。
以一名 MIT 前辈的身份，我今天无比荣幸能与你们同在。
祝贺你们，2026 届毕业生！
苏姿丰（Lisa Su）MIT 2026 届毕业典礼演讲全文（英文）
Good afternoon everyone. President Kornbluth, Chairman Gonçalves, Trustees, faculty, family, friends, and—most important—the MIT Class of 2026: congratulations.
You’ve earned this. And I can tell you that standing here feels very different than I expected. I’ve given a lot of talks over the years, but this one is quite personal. And as you can imagine, true to Murphy’s Law, I somehow managed to lose my voice this week. So please bear with me if I sound a little rough. But I couldn’t be happier to be here with you, if you’ll let me share a little bit of my story.
I came to MIT in the fall of 1986. My parents dropped me off at Next House. I was 17 years old, born in Taiwan, raised in Queens. And I was pretty sure I was good at math. Then, of course, I walked into 6.001 and 6.002.
Within about two weeks, I realized there were a lot of people at MIT who were very, very good at math. I remember staring at those first problem sets and thinking: My goodness, these are super hard. I never really pulled an all-nighter until my freshman year. It was a new experience, but it was a lot of fun doing it together with your classmates.
MIT has this incredible way of pushing you further than you thought you could go. You wrestled with a problem. You blew up a circuit or two—yes, some of you have. Then somehow, the thing worked. And suddenly you realize you could build something real. That’s when I started feeling like an engineer.
One of the best parts of MIT is the opportunity undergraduates have to work on real research—and that truly changed my life. My first UROP was in Professor Hank Smith’s lab in Building 39, which I’m told we’re decommissioning and moving. We were making X-ray lithography masks for a graduate student. To be absolutely clear: at the time, I had no idea what that actually meant.
But I got to put on my first bunny suit and walk into a cleanroom, and start building devices on 2-inch wafers, which was pretty state-of-the-art back then. I learned very quickly to be careful, because those wafers were really delicate—and I definitely didn’t want to be the one who broke them.
I ran a bunch of experiments. Most of them didn’t work the way we expected. So we adjusted, and we tried again. And it was the coolest thing ever. For the first time, I wasn’t just learning about technology in a classroom. I was part of a team trying to discover something new.
I remember thinking: Wow. We can build things this small—tiny enough to fit on a die the size of a coin, but powerful enough to change the world. That’s when I fell in love with semiconductors.
Later, I had the privilege of working with Professor Dimitri Antoniadis, who became my PhD advisor. That was where I really learned how to solve problems. I remember spending weeks in the cleanroom fabricating devices, then bringing my wafers up to the test lab—only to discover they didn’t behave at all like I expected.
So I’d go back to Dimitri’s office, and we’d figure out what to do next. Looking back, that was probably where I grew the most at MIT. Little by little, I went from a new graduate student learning about the field, to someone doing original research and actually contributing something new to the field.
Along the way, I started believing in myself—not the confidence that I would always know the answer, but the confidence that even when I didn’t know, I could figure it out.
What I realize now is that MIT was teaching me something much bigger than semiconductor device physics: Mens et Manus. Mind and Hand. When I was a student, I thought it was just a motto. Now I think it captures exactly what makes MIT so special.
MIT teaches you to think deeply—but it also teaches you to build, to test ideas, to keep going when the first experiment, or even the fifth, doesn’t work. Over time, you start believing you can solve problems that once felt impossible.
I carried that feeling with me long after I left campus. When I joined IBM, I found myself starting all over again. IBM had hundreds of thousands of employees. I was 25 years old, wondering how I could possibly make a difference in a company that big.
But I learned something important very quickly: engineering doesn’t care how old you are. It cares whether you have good ideas. And one of my mentors told me something I’ve never forgotten: Run toward the hardest problems.
At the time, I wasn’t sure I really knew what that meant. But I now realize it was the best advice I ever received. Hard problems really teach you what you’re capable of.
Fast forward a bit: twelve years ago, I got a chance to put that lesson to the test. I had the opportunity to become CEO of AMD. AMD had a lot of potential, but the company had been through a few tough years. Some of my mentors thought taking that job was actually kind of risky.
But for me, this was my dream job. This was what I’d been training for all those years: the opportunity to work at the bleeding edge of technology, on problems that really mattered.
The first thing we had to do was figure out what we wanted to be when we grew up. This was a big company that had to get this right. We made a long-term bet that high-performance computing would be the most important technology of the future. And we gave our talented team the room to think big.
Over the next several years, we built the technology to enable the most powerful computers in the world. And I can tell you: through all of it, I used every skill that MIT ever taught me—and then some.
I’ve tried to put it into words, and I decided calling it the engineer’s instinct feels right. It’s the ability to face what seemed like an unsolvable problem, break it down, and methodically work through it step by step.
But I also learned something else: the engineer’s instinct is even more powerful when it’s shared by a team. The greatest satisfaction of my career has been bringing people together to do something more than any of us thought was possible.
And that brings me to today, and where you guys are.
Over the last few decades, we’ve experienced several major technology shifts. The internet changed how we communicate. Mobile computing changed how we live. Cloud computing changed how we work. And now we’re at the beginning of the AI wave.
To me, AI is really different from all those other waves. The way I think about it: it’s not just a tool that helps us do things faster—we have lots of tools. It’s actually deeper than that. It has the potential to accelerate discovery in every field, and help us solve problems we’ve never been able to solve before.
And to make it personal: the area that excites me most is what we can do in medicine and healthcare. I think we’ve all felt firsthand what it’s like when someone you love is sick. Even with incredible doctors and the best care, you realize how hard it is for any one person, any one team, to bring together all the knowledge that’s been gathered—to help in that critical moment of need.
AI can help us change that. It can help doctors and researchers bring the world’s best expertise to each patient and each loved one, and deliver the care that gives us the best chance of a successful outcome. This, I think, is the promise of AI at its best.
The way to think about it: it makes each of us more capable. Whether you’re talking about medicine, science, energy, climate—I think you could say we may discover more in the next ten years than we have in the last thirty.
But let me be clear about something: technology itself does not decide what the future looks like. The best people do.
For everything AI can do: AI can’t decide which problems are worth solving. It can’t make the hard judgments when the data isn’t there. It can’t take responsibility for the outcomes. Those are our responsibilities. And they matter now more than ever.
This is why I feel this is such an extraordinary moment to graduate from MIT. The world doesn’t just need people who know how to use powerful tools. It needs people who know what to use them for: people with a sense of purpose, judgment, courage. People who look at a hard problem and say: I know this is really, really important—and we can figure this out.
That is exactly who you have become here at MIT.
So here’s what I want to leave you with.
I’ve been very fortunate in many ways: I have great parents, I received an extraordinary education, I’ve had the chance to work with great people. But I also believe I’ve been very lucky in my career.
When people ask me for career advice, I often tell them: yes, you need to work really hard. But also understand that luck matters. And over time, I’ve come to believe that the best people find ways to make their own luck.
Luck is not just being in the right place at the right time. It’s taking the risk to work on something really hard. It’s challenging yourself. It’s choosing problems where you may not know the answer. It’s surrounding yourself with people who make you better.
And yes: it’s believing that you—the Class of 2026—can change the world.
So be incredibly ambitious about what problems you choose to solve. Run toward the hardest ones. And trust what MIT has taught you: that engineer’s instinct. That’s how you make your own luck.
I want to take a moment to acknowledge all the families and loved ones here in the audience today. None of these graduates got here without you. Thank you for believing in them, supporting them, and helping them reach this moment. This achievement belongs to you, too.
And to the Class of 2026: remember—somewhere in the years ahead, you’re going to walk into another room where you have absolutely no idea what you’re doing.
You’ve done this before.
Go figure it out.
As one MIT to another: I am incredibly honored to be here with you today.
Congratulations, Class of 2026.
红腾网配资提示：文章来自网络，不代表本站观点。
