跟读练习: Lisa Su on AMD’s Competition With Nvidia and Intel - 通过视频学习英语口语
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208 句
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1
Lisa, thank you so much for being here tonight with your husband.
丽莎，非常感谢你今晚和丈夫一起来到这里。
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.
我们稍后会详细讨论这个问题。
18
Yes, but overall, I think certainty is a good thing.
是的，但总的来说，我认为确定性是一件好事。
19
Good.
很好。
20
Um...
嗯……
21
You have in the past called AI the most transformational technology you've seen in your career.
您过去曾称人工智能是您职业生涯中见过的最具变革性的技术。
22
I'm curious for this crowd, What do most people get wrong about AI?
我很好奇，对于在座的各位来说，大多数人对人工智能的误解是什么？
23
Well, let me ask, so how many people in the audience, like, use AI Every day.
好，我想问一下，在座有多少人每天都在使用AI？
24
That's pretty good.
那挺不错的。
25
I think that is the most amazing thing.
我觉得那是最了不起的事。
26
That's why I believe AI is the most important technology that I've certainly seen in my career.
正因如此，我认为人工智能是我职业生涯中所见过的最重要的技术。
27
And back to what you know, people may not quite understand is two things.
回到你所了解的内容，大家可能不太理解的有两点。
28
One is we're at the very, very, very beginning of AI.
首先，我们现在正处于人工智能发展的最早期阶段。
29
So whatever you think you're doing today, that seems amazing, it's going to be 10 times more amazing,
所以，无论你今天觉得自己正在做什么看起来很了不起的事，它都会比你想象的还要了不起十倍。
30
like even 12 months from now because we're at the very early part of the learning curve.
甚至从现在起的12个月后也是如此，因为我们正处于学习曲线的最早期阶段。
31
And because we're learning, It's not always going to be right.
而且因为我们还在学习，所以不可能每次都做对。
32
And so, The fact that AI is not right today doesn't mean that it's not the most important technology ever.
因此，人工智能如今还不够完善这一事实，并不意味着它不是有史以来最重要的技术。
33
And Sarah is sitting right here at our table You know, the street always wants the answer today or tomorrow.
而莎拉就坐在我们这桌。你知道，市场总是希望今天或明天就得到答案。
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.
可能需要比这更长一点的时间，但我认为我们现在正处于一个5到10年的周期中。
35
And we're at the very beginning of the cycle, and that's what's so exciting about it.
而我们正处于这个周期的最开端，这正是它如此令人兴奋的地方。
36
I'd love to get into some of the geopolitical issues that you and your company sit across today.
我很想深入探讨一下您和您的公司当前面临的一些地缘政治问题。
37
AMD's most advanced chips are made outside the United States.
AMD最先进的芯片是在美国境外制造的。
38
When will they be made here?
它们什么时候会在这里生产？
39
So, I would maybe even take a step back and say, five years ago nobody thought about where chips were made.
所以，我甚至可能会退一步说，五年前根本没人会去考虑芯片是哪里制造的。
40
Nobody thought about where do you get your next chip.
没人想过你从哪里能拿到下一块芯片。
41
And that is what has really changed for our industry is You know, chips are now at the backbone of everything,
而我们这个行业真正发生的变化是，芯片如今已成为一切事物的核心支柱。
42
like everything you do, whether it's something in your business or something.
就像你做的每一件事，无论是工作上的事务还是其他方面的事情。
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.
无论是在你家里还是社区里，这类设施每天可能要经历数千次使用，这正是它如此重要的原因。
44
And I think the turning point was actually during the pandemic, when people couldn't get enough chips.
我觉得转折点其实是在疫情期间，当时芯片供不应求。
45
Like if you remember, you know, people were wondering, like, why were why were the, you know, the cars You know?
就好比你还记得吗，大家当时都在纳闷，那些车到底是怎么回事，你懂吧？
46
constrained because you didn't have enough chips, why couldn't you get your computers when you needed it?
由于芯片不足而受到限制，为什么你们在需要的时候无法获取到计算机呢？
47
And that's when it became important as to where you can actually manufacture chips.
就在那时，芯片的实际制造地点变得至关重要。
48
So yes, from a political standpoint, geopolitical standpoint, It wasn't that important.
是的，从政治和地缘政治的角度来看，这件事并没有那么重要。
49
five or ten years ago, so it wasn't something the United States focused on.
五年或十年前，这还不是美国关注的重点。
50
And since then, it's become super important.
从那以后，它就变得至关重要了。
51
It's become, you know, with the CHIPS Act and everything else,
你知道，随着《芯片与科学法案》以及其他各项政策的出台，情况已经发生了变化。
52
And actually, what that has done is it's put so much more investment into this area over the last few years.
实际上，这带来的影响是，过去几年里该领域获得了大量新增投资。
53
So, you know, I think it will take us probably the next five plus years to rebuild manufacturing in the United States.
所以，我认为我们可能需要未来五年以上的时间来重建美国的制造业。
54
But it's going, and it's actually going faster than some might have thought.
但它确实在推进，而且实际进展速度比一些人预想的还要快。
55
To go back to my question, will you be able to make your most advanced chips in the United States?
回到我的问题，你们能否在美国生产最先进的芯片？
56
We will.
我们会的。
57
and that will be in five years?
那会是五年之后的事吗？
58
I would say in the next three to five years, you'll start seeing the most advanced chips.
我认为在未来三到五年内，你将开始看到最先进的芯片。
59
You move that forward, three years, I like that.
把时间往前推三年，我觉得这个想法不错。
60
Yes.
是的。
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,
嗯，现在在亚利桑那州，我是说，亚利桑那州就像是美国一些最先进芯片的中心，我们的第一批芯片已经下线了。
62
and they're looking quite good.
它们看起来相当不错。
63
You talked about being at the beginning of this cycle.
你之前提到过，我们正处于这个周期的开端。
64
There are some reports that AI is actually plateauing.
有一些报道称人工智能实际上正进入平台期。
65
Isn't that bad news for AMD?
这对AMD来说难道不是坏消息吗？
66
I...
我……
67
First of all, I don't agree with them.
首先，我并不同意他们的观点。
68
Why not?
为什么不呢？
69
Because, again, this is the view of whenever we see technology cycles, there are actually arcs.
因为话说回来，这就是我们观察技术周期时会发现的规律——它们实际上是呈弧线发展的。
70
So you get a new innovation and it takes you so far.
所以当你获得一项新创新时，它能带你走这么远。
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.
然后你需要下一项新的创新，这又要花上五年甚至更久，之后你才能看到下一个成果。
72
And I think we're just at the initial waves of AI.
我认为我们才刚刚处于人工智能发展的最初几波浪潮之中。
73
So today what people want is larger and larger computers.
所以如今人们想要的是越来越大的计算机。
74
Like you talk about supercomputers.
就像你谈到超级计算机那样。
75
We just had Every six months they talk about,
我们刚刚才聊过，他们每六个月就会提一次这事。
76
they rank actually the fastest supercomputers and we just had a couple of supercomputers that were just built.
它们实际上是对最快的超级计算机进行排名，而我们刚刚有几台超级计算机建成。
77
We'll have a faster one.
我们会有一个更快的。
78
like a year from now.
大概一年后吧。
79
And the innovation that happens when you have all of this engineering talent come together There are lots of new ideas,
当所有这些工程人才汇聚在一起时，就会产生创新。会涌现出许多新想法。
80
lots of new algorithms out there.
市面上有很多新的算法。
81
Probably what I find most exciting about AI is that you can think about AI solving a broad set of issues.
我觉得人工智能最让人兴奋的一点，大概是你可以设想它能解决各种各样的问题。
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.
就像大家现在想到 ChatGPT 时，会向它提问，我们现在讨论的就是你可能会做的一些事情。
83
with time you can see the ability to transfer lots of general information.
随着时间的推移，你可以看到传输大量通用信息的能力。
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,
但人工智能还有一个非常有趣的方面，那就是你可以深入钻研，解决一些世界上最棘手的问题。
85
This idea that you know, you can accelerate the rate and pace of medical discovery.
这种理念认为，你可以加快医学发现的速度和步伐。
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?
我对人工智能与医疗健康的融合非常感兴趣，因为你知道，医疗健康对我们每个人来说都非常私人化，不是吗？
87
We all have a family, friends that have been impacted by various diseases.
我们每个人身边都有家人或朋友受到各种疾病的影响。
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.
如果我们能够加快药物研发的速度，如果我们能够加快找到下一波候选药物的进程，我相信新一代人工智能就能帮我们实现这一目标。
89
So I don't think we're anywhere near plateauing.
所以我认为我们远未达到停滞状态。
90
I think you might need to do it a different way.
我觉得你可能需要换一种方式来做这件事。
91
And we've always had this notion as engineers that when you reach a roadblock,
作为工程师，我们一直有这样一个观念：当你遇到阻碍时，
92
you find your next set of ideas to go forward.
你会找到接下来可以推进的新思路。
93
Well, speaking of doing it a different way, AI requires a massive amount of energy.
说到换一种方式来做，人工智能需要消耗大量能源。
94
Is it making our climate worse?
它是否正在让我们的气候变得更糟？
95
Is it harming our planet?
它正在危害我们的星球吗？
96
- Thank you.
- 谢谢。
97
I think we are all in this place where you know, power, is one of the key things that we think about.
我觉得我们现在都处在这样一个阶段，性能是我们考虑的关键因素之一。
98
How do we get enough energy for what we want to do?
我们如何才能获得足够的能量来完成我们想做的事情？
99
You do need a lot of energy to run these massively powerful systems.
运行这些功能极其强大的系统确实需要大量能源。
100
I think AI can also help us conserve, actually, energy in the sense
我认为人工智能实际上也能在这个意义上帮助我们节约能源。
101
that it'll help us solve problems in a different way so that you won't have to necessarily take as long.
它将帮助我们以不同的方式解决问题，这样你就不一定需要花那么长的时间了。
102
Like one of the most interesting parts of AI
就像是人工智能最有意思的一个方面
103
is It should be able to kind of help us get to the answer, some problems that might have taken Um,
它应该能在一定程度上帮助我们找到答案，解决一些原本可能需要花费很长时间的问题。
104
months or even years to simulate.
需要数月甚至数年才能完成模拟。
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.
比如，如果你想想一些最新的发现、最新的药物研发，以及这些过程需要多长时间，你就可以想象有一天这些工作可能只需要几天或几周就能完成。
106
And so that's how you see the trade -off between energy and and more computing power.
这样你就能看到能耗与更强计算能力之间的权衡关系了。
107
China just opened an antitrust investigation into NVIDIA.
中国刚刚对NVIDIA启动了一项反垄断调查。
108
Are you worried that a geopolitical fight between China and the U .S will harm your business?
您是否担心中美之间的地缘政治斗争会对您的业务造成不利影响？
109
So, There's a lot of discussion about the US and China.
关于美国和中国，目前有很多讨论。
110
and what that means.
以及这意味着什么。
111
I'm sorry.
对不起。
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.
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对话背景与核心内容
这段视频是AMD首席执行官Lisa Su的访谈，她分享了对AI、芯片产业及地缘政治的看法。对话围绕科技趋势、行业挑战展开，语言口语化且信息密度高，非常适合作为看YouTube学英语的素材，既能了解行业动态，又能提升听力和口语。
日常交流必备的5个实用表达
- certainty：确定性。例：商业运营中，certainty比猜测更重要。
- transformational technology：变革性技术。AI被称为transformational technology，影响深远。
- backbone：支柱。芯片是现代科技的backbone，支撑着各类应用。
- turning point：转折点。疫情是芯片产业的turning point，改变了人们对制造地的关注。
- constrained：受限制的。汽车生产因芯片短缺而constrained。
跟着视频练口语：Shadow Speak分步指南
想通过这段视频练shadowspeak？只需3步：
1. 先盲听1遍，抓整体大意，注意Lisa Su的语速和语调；
2. 逐句暂停，模仿发音和重音（比如"transformational"的重音在第4个音节），尤其练习连读（如"a little bit longer"），提升英语发音；
3. 完整跟说3遍，录音对比，重点纠正"certainty"、"constrained"等难词的发音。
这段对话话题正式但表达自然，适合雅思口语练习，能帮助你掌握职场和科技类话题的用词。坚持用shadow speak法练习，口语流畅度会明显提升！
视频中的语法
说话人最常用的结构，并附上视频中的原话：
| 结构 | 视频中的用法 |
|---|---|
| 现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事 | you've seen · I've certainly seen · has really changed |
| 被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的 | are made · be made · were made |
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。