Практика Shadowing: 【中英双语】黄仁勋嘉宾演讲 - CMU卡耐基梅隆大学2026毕业典礼 - Изучайте разговорный английский с YouTube
C2
Thank you for your many contributions to advancing science and technology,
213 предложений
Если предложения слишком короткие или длинные, нажмите Edit, чтобы их изменить.
1
Thank you for your many contributions to advancing science and technology,
2
and for many ways your leadership continues to expand human possibility and shape a better future for people around the world.
3
And now please join me in extending a warm welcome to Jensen Wong, our keynote speaker.
4
President Jahanian, members of the Board of Trustees,
5
faculty, distinguished guests, proud parents and families,
6
and above all, the Carnegie Mellon Class of 2026!
7
Thank you for this extraordinary honor.
8
It is deeply meaningful to be here with Carnegie Mellon,
9
one of the world's great universities and one of the rare places that invents the future.
10
Today is a day of pride and joy.
11
A dream come true for you,
12
but not only for you.
13
Your families, teachers, mentors, and friends help carry you here.
14
Before we talk about the future, thank them.
15
This day belongs to them too.
16
Graduates, please stand up.
17
Stand with me.
18
Come on you guys.
19
Especially, turn to your mothers and wish them a happy Mother's Day.
20
For you, this is another step in your life,
21
but for her, This is a dream come true.
22
Please sit down.
23
CMU students like robots take instructions one at a time.
24
To see your graduate, to see you...
25
Okay, everybody focus.
26
I have something important to tell you.
27
To see you graduate from one of the world's great institutions,
28
this is her moment too.
29
My mom and dad are deeply proud of me as well.
30
My journey is their journey.
31
I am their dream come true.
32
And their dream was the American dream.
33
Like many in this audience,
34
I'm a first generation immigrant.
35
My father had a dream to raise his family in America.
36
When I was nine years old,
37
he sent my older brother me to the United States.
38
We ended up at a Baptist boarding school in Oneida, Kentucky.
39
Coal country.
40
A town of a few hundred people.
41
Two years later, my parents left everything behind to join us.
42
They came with little to nothing.
43
My father was a chemical engineer.
44
My mother worked as a maid at a Catholic school.
45
She woke me up at 4 a.m in the morning to deliver newspapers.
46
My older brother got me a job as a dishwasher at Denny's,
47
which at the time felt like a major career advancement.
48
That was my view of America.
49
Not easy, but full of opportunities.
50
Not a guarantee, but a chance.
51
My parents came here because they believed America could give their children a chance.
52
How can we not be romantic about America?
53
I went to Oregon State University.
54
I met my wife, Lori,
55
when I was 17 years old.
56
I was the youngest kid in school.
57
We were sophomore lab partners.
58
She was 19.
59
An older woman.
60
I beat out 250 other boys in class and want her heart.
61
We've now been married for 40 years.
62
We have two amazing children, both working at NVIDIA.
63
When I was 30, I started NVIDIA with Chris Malachowski Curtis Pring,
64
two amazing computer scientists.
65
We wanted to build a new kind of computer,
66
one that could solve problems ordinary computers could not.
67
We had absolutely no idea how to build a company,
68
raise money, or run NVIDIA.
69
I just thought, how hard could it be?
70
It turns out it is super hard.
71
Our first technology didn't even work.
72
We ran out of, we nearly ran out of money.
73
At one point I had to fly to Japan
74
and explain to Sega's CEO that the technology they contracted us to build would not work.
75
Asked to be released from a contract we could not complete and then asked that they still pay us.
76
Without the money, NVIDIA would vaporize.
77
It was embarrassing, humiliating, and one of the hardest things I have ever done.
78
And SEGA CEO, Irmajri San, said yes.
79
I learned early that being CEO is not about power,
80
but the responsibility that comes with keeping the company alive.
81
And that honesty and humility can be met with generosity and kindness, even in business.
82
We used the money to reset the company,
83
and out of desperation we invented new ways of designing chips and computers that we still use today.
84
For 33 years, NVIDIA had reinvented itself over and over again,
85
each time asking, how How hard can it be?
86
And each time learning, it's harder than we thought.
87
But through those experiences, we learn never to see failure as the opposite of success.
88
Each failure is just another learning moment,
89
a humility moment, a character strengthening moment.
90
The resilience forged through setbacks is what gives you the strength to go again.
91
Today, I am one of the longest serving CEOs in technology.
92
NVIDIA, the body of work I share with 45,000 extraordinary colleagues,
93
is my life's work.
94
Now it's your time to realize your dreams.
95
And the timing could not be more perfect.
96
My career started at the beginning of the PC revolution.
97
Your career starts at the beginning of the AI revolution.
98
I cannot imagine a more exciting time to work to begin your life's work.
99
AI started right here at Carnegie Mellon.
100
I've heard countless AI jokes in the last 24 hours here at Carnegie Mellon.
101
Carnegie Mellon is one of the true birthplaces of artificial intelligence and robotics.
102
In the 1950s, researchers here created the logic theorist,
103
widely recognized and considered the first AI computer program.
104
In 1979, Carnegie Mellon founded the Robotics Institute.
105
This morning I visited with RoboClub,
106
the first academic institute devoted entirely to robotics.
107
Artificial intelligence has gone on now to reinvent computing completely.
108
I have lived through every major computing platform shift.
109
Game frames, PCs, the internet, mobile, and cloud.
110
Each wave built on the one before.
111
Each expanded access, each transformed industries and society,
112
but what is about to happen now is bigger than anything before.
113
Computing is undergoing a complete reset,
114
not since modern computing was first invented.
115
For 60 years, computing worked the same way.
116
Humans wrote software, computers executed instructions, that paradigm is over.
117
Artificial intelligence has reinvented computing from human coding to machine learning,
118
from software running on CPUs to neural networks running on GPUs,
119
and from following instructions to understanding,
120
reasoning, planning, and using tools.
121
A new industry has emerged to manufacture intelligence at scale.
122
Because intelligence is foundational to every industry, every industry will change.
123
For many, AI creates uncertainty.
124
People see AI writing software,
125
generating images, driving cars, and naturally wonder what happens next.
126
Will jobs disappear?
127
Will people be left behind?
128
Will this technology become too powerful?
129
Every major technological revolution in history created fear alongside opportunity.
130
When society engages technology openly,
131
responsibly, and optimistically, we expand human potential far more than we diminish it.
132
So first and above all, we must be clear-eyed.
133
Artificial intelligence, the automation of understanding,
134
reasoning, and problem solving is one of the most powerful technologies humanity has ever created.
135
And like every transformative technology before it,
136
it will bring both great promise and real risks.
137
The responsibility of our generation is not only to advance AI,
138
but to advance it wisely.
139
Scientists and engineers have a profound responsibility to advance AI capabilities and AI safety together.
140
Policy makers.
141
Policymakers have a responsibility to create thoughtful guardrails that protect society while still allowing innovation,
142
discovery, and progress to move forward.
143
History shows that societies that retreat from technology do not stop progress.
144
They only surrender the opportunity to shape it and to benefit from it.
145
So the answer is not to fear the future.
146
The answer is to guide it wisely,
147
build it responsibly, and ensure that its benefits reach as many people as possible.
148
We should not teach fear of the future.
149
We should engage it with optimism, responsibility, and ambition.
150
Only a fraction of the people in the world know how to write software.
151
Now anyone can ask AI to build something useful.
152
A shopkeeper can create a website and grow a business.
153
A carpenter can design a kitchen and offer new services to clients.
154
The AI writes the code.
155
Everyone is now a programmer.
156
For the first time, the power of computing and intelligence can truly reach everyone and close the technology divide.
157
The first time.
158
And like electricity and the internet before it,
159
AI will require trillions of dollars of infrastructure investment.
160
This is the largest technology infrastructure build out in human history
161
and a once in a generation opportunity to re-industrialize America and restore the nation's capacity to build.
162
To support AI, America will build chip factories,
163
computer factories, data centers, and advanced manufacturing facilities across the country.
164
AI gives America the opportunity to build again.
165
Electricians, plumbers, iron workers, technicians,
166
builders, this is your time.
167
AI is not just creating a new computing industry,
168
it is creating a new industrial era.
169
Powering this new infrastructure will require enormous amounts of energy,
170
but it is also driving one of the largest investments in
171
energy infrastructure in generations modernizing the grid expanding power generation
172
and accelerating sustainable energy and yes AI will change every job
173
but the tasks
174
and the purpose of a job are not the same many tasks will be automated some jobs will disappear
175
but many new jobs and entire new industries will be created software coding tasks are increasingly automated
176
but using AI software engineers can expand the search for solutions
177
allowing them to tackle far more ambitious challenges analyzing radiology scans is increasingly automated.
178
But using AI, radiologists are elevated to better diagnose disease and care for patients.
179
AI does not replace human purpose.
180
It amplifies human capability.
181
That is why even as AI writes more code and analyzes more scans,
182
demand for software engineers and radiologists continue to grow.
183
AI is not likely to replace you but someone using AI better than you might.
184
So a good thought experiment is this.
185
Do we want our children to be supercharged by AI or be left behind by those who are.
186
No parent wants their child left behind.
187
So let us build AI safely.
188
Let us also imagine an optimistic future.
189
One our children are excited to be part of, inspired to help build.
190
So we can and must do four things at once.
191
Advance safely, create thoughtful policies,
192
make AI broadly accessible, and encourage everyone to engage.
193
Everyone should have AI.
194
Opportunities should not belong only to the people who can code.
195
Class of 2026, you are entering the world at an extraordinary moment.
196
A new industry is being born.
197
A new era of science and discovery is beginning.
198
AI will accelerate the expansion of human knowledge and help solve problems once beyond our reach.
199
We have the opportunity to close the technology divide
200
and bring the power of computing and intelligence to billions of people for the very first time.
201
To re-industrialize America and restore our capacity to build.
202
And to help create a future more abundant,
203
more capable, and more hopeful than the world you inherited.
204
No generation has entered the world with more powerful tools or greater opportunities than you.
205
We are all standing at the same starting line.
206
This is your moment to help shape what comes next.
207
So run, don't walk.
208
Carnegie Mellon has a motto I love.
209
My heart is in the work.
210
So put your heart in the work.
211
something worthy of your education,
212
your potential, and the people who believed in you long before the world did.
213
Congratulations Carnegie Mellon class of 2026.
Скачать приложение
ИИ-оценка каждого произнесённого вами предложения
TRENDING
Популярные
Об этом уроке
В этом уроке вы будете практиковать английский язык, прослушивая вдохновляющую речь Дженсена Уона на церемонии выпуска в Университете Карнеги-Меллон. Вы сможете улучшить свои навыки говорения, фокусируясь на интонации, произношении и эмоциональной выразительности. Это видео предлагает уникальную возможность учить английский с YouTube, так как вы сможете повторять за оратором и оттачивать свои навыки через метод shadow speech.
Ключевая лексика и фразы
- advancing science and technology - продвижение науки и технологий
- leadership - лидерство
- human possibility - человеческие возможности
- a dream come true - сбывшаяся мечта
- first generation immigrant - иммигрант первого поколения
- opportunities - возможности
- journey - путь (жизненный путь)
- proud parents - гордые родители
Советы по практике
Чтобы максимально эффективно использовать метод shadowing с этим видео, обратите внимание на скорость и тональность речи оратора. Дженсен Уон демонстрирует уверенность и эмоциональную насыщенность, что делает его речь подходящей для практики. Начинайте с медленного темпа: сначала слушайте фрагменты предложения и повторяйте их, обращая внимание на ударения и интонации. Затем попробуйте увеличить скорость, постепенно синхронизируя свою речь с оригиналом.
Работая с этим видео, не забывайте о целях shadow speak — улучшить беглость и уверенность в общении. Используйте уже изученные слова и фразы для создания собственных предложений, что поможет вам в дальнейшем разработать уникальный стиль. Не стесняйтесь обращаться к shadowspeaks для поиска дополнительных материалов и ресурсов, которые поддержат ваше изучение.
Помимо практики произношения, обратите внимание на содержание речи. Размышляйте над тем, как ваш собственный жизненный путь отражает те темы, которые поднимает оратор, и рассматривайте это как возможность не только учить английский, но и прояснять собственные цели и мечты.
Что такое техника Shadowing?
Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.
☕ Угостите нас кофе
ShadowingEnglish остаётся 100% бесплатным благодаря вашей поддержке. Стоимость серверов и ИИ высока — ваш кофе поддерживает нас! 🙏