Shadowing Practice: Lisa Su on AMD’s Competition With Nvidia and Intel - Learn English Speaking with Video
Bir pratik modu seçin
Her mod tam ekran bir pratik odası açar.
208 cümleler
Cümleler çok kısa veya çok uzun ise, ayarlamak için Düzenle'ye tıklayın.
1
Lisa, thank you so much for being here tonight with your husband.
2
We're honored to have you here as Time's 2024 CEO of the Year.
3
I will start with an easy question.
4
President Trump takes office in a few weeks.
5
Will the new administration be good or bad for the chip industry?
6
Why don't we go back to the Kate and Clark -like numbers?
7
I like that.
8
That was a very nice introduction.
9
First of all, Sam, Jess, thank you so much.
10
This is such an honor to be here and such an honor to be amongst this company.
11
The truth is, we all think about what might happen.
12
But the most important thing for our business, and probably most businesses, is just having certainty on what's going to happen.
13
Since the election, I think all of us in business have been thinking about just what the next four years projects,
14
and I think we are optimistic.
15
about you know business we're optimistic about the opportunities Obviously, in the semiconductor world, for us and CHIPS,
16
we're a little bit of a sensitive topic.
17
We'll get into that.
18
Yes, but overall, I think certainty is a good thing.
19
Good.
20
Um...
21
You have in the past called AI the most transformational technology you've seen in your career.
22
I'm curious for this crowd, What do most people get wrong about AI?
23
Well, let me ask, so how many people in the audience, like, use AI Every day.
24
That's pretty good.
25
I think that is the most amazing thing.
26
That's why I believe AI is the most important technology that I've certainly seen in my career.
27
And back to what you know, people may not quite understand is two things.
28
One is we're at the very, very, very beginning of AI.
29
So whatever you think you're doing today, that seems amazing, it's going to be 10 times more amazing,
30
like even 12 months from now because we're at the very early part of the learning curve.
31
And because we're learning, It's not always going to be right.
32
And so, The fact that AI is not right today doesn't mean that it's not the most important technology ever.
33
And Sarah is sitting right here at our table You know, the street always wants the answer today or tomorrow.
34
It might take a little bit longer than that, but I think over the next-- this is a five to 10 year cycle that we're in.
35
And we're at the very beginning of the cycle, and that's what's so exciting about it.
36
I'd love to get into some of the geopolitical issues that you and your company sit across today.
37
AMD's most advanced chips are made outside the United States.
38
When will they be made here?
39
So, I would maybe even take a step back and say, five years ago nobody thought about where chips were made.
40
Nobody thought about where do you get your next chip.
41
And that is what has really changed for our industry is You know, chips are now at the backbone of everything,
42
like everything you do, whether it's something in your business or something.
43
in your home or something in your community goes through, probably thousands of trips a day, and that's what makes it so important.
44
And I think the turning point was actually during the pandemic, when people couldn't get enough chips.
45
Like if you remember, you know, people were wondering, like, why were why were the, you know, the cars You know?
46
constrained because you didn't have enough chips, why couldn't you get your computers when you needed it?
47
And that's when it became important as to where you can actually manufacture chips.
48
So yes, from a political standpoint, geopolitical standpoint, It wasn't that important.
49
five or ten years ago, so it wasn't something the United States focused on.
50
And since then, it's become super important.
51
It's become, you know, with the CHIPS Act and everything else,
52
And actually, what that has done is it's put so much more investment into this area over the last few years.
53
So, you know, I think it will take us probably the next five plus years to rebuild manufacturing in the United States.
54
But it's going, and it's actually going faster than some might have thought.
55
To go back to my question, will you be able to make your most advanced chips in the United States?
56
We will.
57
and that will be in five years?
58
I would say in the next three to five years, you'll start seeing the most advanced chips.
59
You move that forward, three years, I like that.
60
Yes.
61
Well, in Arizona right now, I mean, Arizona is like the center of some of the most advanced chips in the country, and we're getting our first chips off the line,
62
and they're looking quite good.
63
You talked about being at the beginning of this cycle.
64
There are some reports that AI is actually plateauing.
65
Isn't that bad news for AMD?
66
I...
67
First of all, I don't agree with them.
68
Why not?
69
Because, again, this is the view of whenever we see technology cycles, there are actually arcs.
70
So you get a new innovation and it takes you so far.
71
And then you need the next new innovation and it takes you the next you know, five plus years, and then you see the next.
72
And I think we're just at the initial waves of AI.
73
So today what people want is larger and larger computers.
74
Like you talk about supercomputers.
75
We just had Every six months they talk about,
76
they rank actually the fastest supercomputers and we just had a couple of supercomputers that were just built.
77
We'll have a faster one.
78
like a year from now.
79
And the innovation that happens when you have all of this engineering talent come together There are lots of new ideas,
80
lots of new algorithms out there.
81
Probably what I find most exciting about AI is that you can think about AI solving a broad set of issues.
82
Like you think about ChatGPT today, you can ask it questions, you can We're talking about some of the things that you might do.
83
with time you can see the ability to transfer lots of general information.
84
But there's also a really interesting part of AI, that how you can go really deep and solve some of the world's hardest problems,
85
This idea that you know, you can accelerate the rate and pace of medical discovery.
86
Like I'm really interested in how AI and healthcare come together because, you know, healthcare is so personal to all of us, right?
87
We all have a family, friends that have been impacted by various diseases.
88
If we can accelerate drug discovery, if we can accelerate finding some of these the next wave, I believe you can do that with the next set of AI.
89
So I don't think we're anywhere near plateauing.
90
I think you might need to do it a different way.
91
And we've always had this notion as engineers that when you reach a roadblock,
92
you find your next set of ideas to go forward.
93
Well, speaking of doing it a different way, AI requires a massive amount of energy.
94
Is it making our climate worse?
95
Is it harming our planet?
96
- Thank you.
97
I think we are all in this place where you know, power, is one of the key things that we think about.
98
How do we get enough energy for what we want to do?
99
You do need a lot of energy to run these massively powerful systems.
100
I think AI can also help us conserve, actually, energy in the sense
101
that it'll help us solve problems in a different way so that you won't have to necessarily take as long.
102
Like one of the most interesting parts of AI
103
is It should be able to kind of help us get to the answer, some problems that might have taken Um,
104
months or even years to simulate.
105
Like if you think about some of the latest discoveries, latest drug discoveries and how long things take, you can imagine a time when that might be done in days or weeks.
106
And so that's how you see the trade -off between energy and and more computing power.
107
China just opened an antitrust investigation into NVIDIA.
108
Are you worried that a geopolitical fight between China and the U .S will harm your business?
109
So, There's a lot of discussion about the US and China.
110
and what that means.
111
I'm sorry.
112
Clearly, chips have become something that are so important from a national security standpoint.
113
And we recognize that.
114
There are some chips, for example, that are so special that we can't ship to China, that we can't ship to certain other restricted countries.
115
I I think balance is always important in these things.
116
Look, China's also an important market for us.
117
you know, China as there are lots and lots of uses of semiconductors, and we like to have balance in this.
118
It's so important, you know, we talked about the new administration at the top.
119
Uh, What's really important is for there to be a good dialogue between sort of the public sector and the private sector.
120
I think there's a lot of partnerships that are necessary.
121
That's true in most industries.
122
That's certainly very true in our industry.
123
And the key is that we want to have the ability to protect national security,
124
while also ensuring that we have access to the Chinese market.
125
Those who work with you say you're a competitive person.
126
Is that okay?
127
It's fantastic.
128
Is there a day when AMD will be bigger than NVIDIA?
129
AMANDA SCHADE: You know-- Competition is a good thing,
130
but one doesn't-- I believe that there are multiple winners in this market.
131
And the key for us is-- Are we putting out new technology?
132
Are we putting out technology that is changing the world?
133
Are we helping solve some of the world's most important problems?
134
Those are really, really important.
135
And at the end of the day, you know, who's bigger, who's smaller, we'll see.
136
We'll see how that plays out.
137
I think the challenge is on.
138
Speaking of competition, there's an opening in the CEO's office at Intel. Who should take it?
139
You know Sam, this was supposed to be a pleasant dinner, wasn't it?
140
I mean like… I think they're having a great time.
141
Look, I have a lot of respect for Pat as a colleague.
142
So I've known him for many, many years.
143
It is hard to turn around a semiconductor company.
144
But let me start with that.
145
There are, the thing about our
146
industry is that the decisions that you make today you actually won't see the fruits of that labor for like, five years.
147
I mean that's the case.
148
It's like a five year cycle.
149
It takes that long to design products, to think about technology, to think about markets going forward.
150
So I would say it's a tough job.
151
It's a tough job.
152
Has the Biden administration encouraged you to merge with Intel?
153
Yeah.
154
I think the answer to that question is no. So I can answer that question.
155
I think what we're all looking for is how do we make the U .S industry stronger.
156
All right.
157
The US leads in semiconductors today, in semiconductor design.
158
We have been fortunate enough with Silicon Valley,
159
with all of the intellectual property that we've developed over the last many years for
160
um just the innovation in our culture you know that's
161
that goes with startups but also with larger more advanced companies um you know we've actually
162
acquired a number of companies over the last few years, and it's added a lot to the equation.
163
We're going to continue to do that.
164
As an industry, we're going to continue to push the envelope on technology.
165
I think that's something that we should be really proud of.
166
We want to have the best chips.
167
We want to have the best computers.
168
We want to use those computers to solve the most difficult problems.
169
How we do that as an industry? is partnering.
170
Like actually, you know, we are partnering, you know, with Intel on a number of things.
171
We're partnering with many of the companies in the semiconductor industry
172
Because there's no one company that has all of the good ideas.
173
It is a place where
174
We absolutely have to come together and there are places where we're going to compete
175
and there are places where we're going to collaborate.
176
I think one of the things that stands out in reading
177
and listening to people talk about your journey as a leader is the points in time where
178
you decided not to do something when people were encouraging you to do that.
179
We often talk about leadership as what you do, but it's just as frequently what you choose not to do.
180
Is there a moment in time, a decision that sticks out for you where you said everyone was telling you to go this way and you said, no, we have to go that way?
181
Probably the most striking moment in time is Whenever you think about technology,
182
people always are most interested in what you're doing today.
183
Like, what's the fad of today?
184
So when I first took over as CEO, it was 2014 and 2015 time frame.
185
And the fad was-- not fad is not the right word-- but the more interesting thing was, you're so excited about your next Apple iPhone.
186
You're so excited about the next tablet that you're going to buy.
187
And people were asking-- my board was asking me Lisa, why are we not like doing that.
188
Like why are we not in phones?
189
Why are we not in tablets?
190
And the truth was, you know, those are fine businesses to be in, but they're not AMD.
191
Like AMD, we build big computers.
192
That's what we do.
193
We build big computers.
194
And many of you may not have heard about AMD, certainly 10 years ago, maybe five years ago.
195
Hopefully in the last year you've heard us from time to time.
196
We build big computers, and big computers were not sexy.
197
Um...
198
10 years ago, but they're kind of sexy now.
199
Right?
200
I mean, you're talking to me about AI.
201
I'm lucky enough to sit amongst this audience.
202
And Um, I think that's the key.
203
The key is to be very clear on what you want to be best at.
204
And it doesn't have to be the most popular thing.
205
but it has to be something that you know will make a difference.
206
Well, Lisa Su, thank you for making supercomputer sexy.
207
We're so glad to have you here.
208
Thank you.
Uygulamayı İndir
Akıcı konuşmak için ihtiyacınız olan her şey
AI TelaffuzHer cümleyi puanla
IPA AlıştırmasıHer sesi ustalaştır
Kelime BilgisiKelime bankanızı oluşturun
Kelime OyunuOynarken öğrenin
📺 Aynı Kanal
B21
Hot Ones’ Sean Evans Reacts to His Best and Worst Guests
Daily ConversationWorking Adults
B12
How Well Do the Stranger Things Stars Really Know Each Other?
TeensDaily Conversation
B2100
Scientists Solve the Mystery Behind the Oumuamua 'Alien Spacecraft' Comet
IELTS PrepTOEFL PrepUniversity Students
C111
Sundar Pichai Reveals What AI Will Do Next
Business EnglishWorking Adults
B23
Eileen Gu on what it takes to be the very best
Business EnglishUniversity StudentsWorking Adults
B16
Jennie Kim Shut Down Front Row Of The Chanel Fashion Show With Cardi B At Paris Fashion Week | TIME
TeensDaily ConversationHigh School Students
B21
10 Questions for Reese Witherspoon
Business EnglishDaily ConversationUniversity Students
B22
Video
Interview EnglishUniversity StudentsWorking Adults
C1203
Hailey Bieber Opens Up About Motherhood, Fame and Her $1 Billion Brand
Business EnglishDaily ConversationWorking Adults
B2Hailey Bieber weighs in on top wellness trends
Daily ConversationUniversity StudentsWorking Adults
✨ Video Öner
B23
159 cümleler
半导体女王 AMD CEO苏姿丰Lisa Su:AI未来10年新发现将超过去30年总和！如何创造属于自己的运气？
Business EnglishUniversity StudentsWorking Adults
B21
34 cümleler
Top five moments from CNBC's interview with OpenAI CEO Sam Altman
Business EnglishUniversity StudentsWorking Adults
B22
41 cümleler
Chủ tịch Nvidia nói gì về sự phát triển mới của AI trong bài phát biểu tại Đài Loan?
Business EnglishUniversity StudentsWorking Adults
B23
808 cümleler
A 28-year-old Steve Jobs gives a talk at the 1983 International Design Conference in Aspen
Business EnglishUniversity StudentsWorking Adults
C13
209 cümleler
Announcing NVIDIA RTX Spark | GTC Taipei 2026 Keynote by CEO Jensen Huang
Business EnglishUniversity StudentsWorking Adults
C11
725 cümleler
Stanford Leadership Forum 2026: Rewiring the Workforce in the Age of AI
Business EnglishUniversity StudentsWorking Adults
B211
89 cümleler
The Art Of Winning In Tech
Business EnglishInterview EnglishUniversity Students
B22
268 cümleler
Trump’s Canada Tariffs Are Backfiring in Red States | The Week
Business EnglishDaily ConversationUniversity Students
B21
386 cümleler
Communicating the Future: Defining Where We Want AI To Take Us
Business EnglishDaily ConversationUniversity Students
B21
663 cümleler
Mark Zuckerberg on AI Glasses, Superintelligence, Neural Control, and More
Business EnglishUniversity StudentsWorking Adults
B23
68 cümleler
What Happens If China Invades Taiwan? Elon Musk's AI Warning
Business EnglishDaily ConversationUniversity Students
B21
25 cümleler
The Rise of Real Life Experiences in the Age of AI | Simon Sinek
Business EnglishUniversity StudentsWorking Adults
Bu dersin kelimeleri ve konuşma notları
Bu B2 seviyesindeki konuşma dersi “Lisa Su on AMD’s Competition With Nvidia and Intel” videosuna dayanıyor. Bu videoda gölgeleme çalışması için 208 cümle ve 2461 kelime var. Konuşma bölümü 14:58 sürüyor. Konuşmacı dakikada yaklaşık 164 kelimeyle, günlük konuşmaya yakın doğal bir hızda konuşuyor. Kelimelerin %88’i İngilizcede en sık kullanılan 3.000 kelime arasında, bu yüzden kelime dağarcığını takip etmek kolay.
Bu videodaki önemli kelimeler
Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| semiconductor isim | /ˌsɛmikənˈdʌktə/ | yarı iletken |
| supercomputer isim | süperbilgisayar | |
| accelerate fiil | /ɪkˈsɛl.əˌɹeɪt/ | hızlandırmak |
| excite fiil | /ɪkˈsaɪt/ | heyecanlandırmak |
| plateau isim | /plæˈtoʊ/ | yayla, plato |
| optimistic sıfat | /ˌɒptɪˈmɪstɪk/ | iyimser |
| tablet isim | /ˈtæblət/ | levha |
| compute fiil | /kəmˈpjuːt/ | hesaplamak |
| constrain fiil | /kənˈstɹeɪn/ | zorlamak |
| simulate fiil | /ˈsɪm.jə.lət/ | simule etmek, benzetmek |
| collaborate fiil | /kəˈlæb.ə.ɹeɪt/ | birlikte çalışmak |
| backbone isim | /ˈbækˌboʊn/ | omurga |
| merge fiil | /mɝd͡ʒ/ | birleştirmek, birleşmek |
| restrict fiil | /ɹɪˈstɹɪkt/ | sınırlamak, kısıtlamak |
| envelope isim | /ˈɛnvə(ˌ)loʊp/ | zarf |
Duyacağınız deyimsel fiiller
| Kelime | Anlam |
|---|---|
| put out fiil | çıkarmak |
| turn around fiil | çevirmek, döndürmek |
Tekrar etmeye değer cümleler
Videodan, günlük konuşmada yeniden kullanabileceğiniz kısa ve tam cümleler:
- Is it making our climate worse?
- Is it harming our planet?
- Are we helping solve some of the world's most important problems?
- How we do that as an industry?
- Why are we not in tablets?
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | you've seen · I've certainly seen · has really changed |
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | are made · be made · were made |
Dikkat edilecek telaffuzlar
Konuşmacı we're, you're, I'm gibi kısaltılmış biçimleri 65 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “sh” ve “zh” sesleri: equation /ɪˈkweɪ.ʒən/, notion /ˈnoʊʃən/
- Uzun kelimeler — vurguyu doğru yere koyun: semiconductor /ˌsɛmikənˈdʌktə/, accelerate /ɪkˈsɛl.əˌɹeɪt/, optimistic /ˌɒptɪˈmɪstɪk/, collaborate /kəˈlæb.ə.ɹeɪt/
Türkçe konuşanların zorlandığı sesler:
- /w/ — dudaklar yuvarlak, /v/ değil: equation /ɪˈkweɪ.ʒən/, acquire /əˈkwaɪɚ/
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: standpoint /ˈstændpɔɪnt/, plateau /plæˈtoʊ/, startup /ˈstɑɹtˌʌp/
- /æ/ — “e”den daha açık: standpoint /ˈstændpɔɪnt/, plateau /plæˈtoʊ/, tablet /ˈtæblət/, antitrust /ˌæntiˈtɹʌst/, massively /ˈmæs.ɪv.li/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; semiconductor, supercomputer, accelerate gibi kelimelere özellikle dikkat edin.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.