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318 משפטים
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1
It is now my pleasure to introduce to you someone who you can already see,
2
someone very special, one of the most influential figures in tech.
3
He has co -founded NVIDIA in 1993, led it ever since, built it into the most valuable company in the world.
4
Last time I checked, right?
5
More than 5 trillion, not billion, trillion US dollars.
6
And along the way, he has earned a reputation as a kind of rock star of tech, not only because of his trademark leather jacket,
7
but because wherever he goes, crowds gather and are waiting for an autograph or a selfie.
8
We might just be so lucky tonight, Mr. Chancellor.
9
And I do hope you don't take this as a prompt.
10
Don't rush the stage.
11
But please give a very warm welcome to Jensen Huang.
12
Welcome to Germany.
13
I can see you're already getting comfortable for our fireside chat.
14
Also a bartender.
15
Well, Chancellor, if you could swap jobs with Jensen for just a day, what would you do first, you think?
16
Oh, that's a great idea to swap the jobs.
17
Would you like to go there?
18
No. Well.
19
Thank you.
20
I give you my answer.
21
I rather would put my leather jacket on.
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I would take a flight to Berlin.
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I would like to see the German Chancellor.
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And I would tell him I'm ready to invest.
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Well, that's exactly what I'm doing.
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I think we could arrange a meeting.
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No nobody has invested more in Germany.
28
Thank you for that.
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We are really grateful.
30
Thank you for doing this.
31
And this is a great signal for our country.
32
Thank you.
33
You know NVIDIA story and Germany story played a very large role.
34
In fact in the year 2000 NVIDIA was a consumer oriented technology.
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We were only building for PC gaming.
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And it was a company in Germany, Elsa, that partnership led us into workstations, which led us into all of the car companies.
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And today, we work with the car companies from styling, design, engineering, simulation, manufacturing, all the way out to the cars.
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It was in 2005 that
39
Audi brought us into the car industry, inside the car.
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And it was 2023.
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Was it 2023?
42
2020?
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Yeah, 2020 that OLA and I established a partnership to build autonomous vehicles.
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And so Germany and NVIDIA has been very close for a long time.
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I think I already heard that you wouldn't like to swap jobs.
46
So I won't even get there asking you what you would do as a chancellor.
47
We let you be you for now and I suspect you can already picture things that we might not even imagine yet.
48
So take us into an engineering office or a factory of the future.
49
What do you see?
50
What is this going to look like?
51
Oh, that's interesting.
52
In fact, the factory, every single company in the future will have two factories.
53
The factory that is real and the factory that is digital.
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And the factory that is digital will be so real, it might as be real.
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If it manifests itself when you create the digital twin of your company, of your car company, that digital twin might as well be real.
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And so in the future, I believe that most people here in Germany will mostly work inside a digital twin of their company.
57
They will build digital cars.
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Those cars will have digital brains.
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The manufacturing, the factories will have digital, of course, artificial intelligence robots,
60
building inside a robotic factory, building cars that will be robotic.
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And everything will be completely software driven.
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Everything will be completely AI driven.
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So every company will build two things.
64
They will build brains and the brains that go into the products that they ship.
65
Fascinating.
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Yeah, it's going to be cool.
67
Chancellor, of course the ambition is to bring AI into everyday use across German industry from large manufacturers,
68
Mittelstand to also smaller firms.
69
Could you perhaps share a few concrete examples of how you
70
and the German government are ensuring that this widespread deployment is actually taking place?
71
Sure.
72
First of all, I would like to say
73
that I'm really impressed what NVIDIA and German companies are already doing in this country.
74
Ola Kelenius just handed out a model from the new S -Class of Mercedes to me,
75
promising that this car will be autonomous driving in Germany by the end of this year.
76
Safest and the most autonomous.
77
So this is happening in Germany.
78
So we are in the government,
79
we are fully committed to be one of the most advanced places in the world, not just in the European Union,
80
but in the world to work with AI, to integrate AI into our industry.
81
And one of the biggest, if not the biggest advantage we have in Germany is our so -called Mittelstand.
82
And I'm very happy to see that we are having here tonight many smaller and medium -sized companies from Germany.
83
Please open your doors for AI to make use of your data.
84
This is so decisive for the German future this is a real secret
85
and a real advantage for Germany to use to make use of all the data which are already available in our companies.
86
And if we could combine this AI with companies like yours and our companies in Germany, the big ones, but also the so -called Mittelstand,
87
I'm really optimistic that we will be one of the leading
88
if not the leading country in the world in terms of spread AI for all the companies of our manufacturers,
89
machinery, automotive industry, supplies of automotive industry.
90
I think this is a great opportunity and I'm decided to meet that.
91
Yeah, you're absolutely right.
92
So first of all, the data of Germany is part of your natural resources.
93
It belongs to the nation.
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The data of your digital experience, or otherwise known as data, The data of your country is your culture,
95
your values, your knowledge, your experience.
96
It's your natural resource.
97
It belongs to the nation.
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And you're absolutely right that you should import the technology to harvest that data and turn it into your national intelligence.
99
But you should not export your culture, export your values, export your knowledge,
100
export your history, and then import German intelligence back.
101
Makes no sense.
102
So that's number one.
103
And so you have every, you're going to, of course, use the best AI technology available in the world and AI services in the world.
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But you have every capability to build your own AI.
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So that's number one.
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The second is the next wave of AI is physical AI.
107
This is where AI interacts with the physical world.
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Robotics, manufacturing, cars, heavy industry.
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That will never be replaced by digital technology.
110
The work that you know belongs, that knowledge belongs to you.
111
The expertise of your domain, that belongs to you.
112
Artificial general intelligence will never replace domain expertise.
113
You could be as smart of a general intelligence as you want.
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You will never be as smart as somebody who is very,
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very specialized in a particular field of electromechanical technology.
116
It cannot be replaced.
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And so AI can only augment your capability.
118
It will not replace your capability.
119
So take advantage of the technology.
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It's a new instrument.
121
As for some of these advantages, Jensen, we have on the one hand decades of industrial data.
122
We have very skilled labor, if you like.
123
We have the engineering expertise.
124
So this certainly, as you seem to point out, speaks for a lot of advantages for Germany.
125
You have a global perspective, however.
126
There are other countries that also have strengths, that also like to take advantage of their strengths.
127
You talk to so many governments across the globe, to so many companies across the world.
128
If you take this global perspective,
129
how is Germany braced for this sort of next race in AI?
130
As you know, the last major industrial revolution was electrification.
131
before the one I'll describe.
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Electrification resulted in really three geographical leaders.
133
Germany, United States, Japan.
134
For the last 50 years, because of the current industrial revolution, which is computing and digital technology,
135
The United States has largely exported its heavy manufacturing,
136
its building, its craft, really to China.
137
So now the world has three again.
138
But it's Germany, Japan, and China.
139
The advantage that
140
China has is that they came into their industrial revolution,
141
if you will, their economic transformation happened during precisely the time of the computer industry.
142
They are quite computerized.
143
China is probably the only nation today that is deep in manufacturing and deep in computer science and very comfortable in both.
144
Well, the good news is there's a complete reset.
145
The last 50 years was about software programming.
146
United States is obviously world -class.
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But there's a new era now.
148
The computer programs itself.
149
You just have to show the computer what you want.
150
Computer programming, all of the advantages of the last generation, has now been accrued into artificial intelligence
151
there's a complete reset all the digital technology in the world
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will not replace electro mechanical physical technology electrons will never replace atoms
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and that's an advantage
154
that you have the work you know the domain expertise you have the craft
155
that is here it will remain here but you have to take advantage of this new technology.
156
This industrial revolution is so mighty, is so powerful, you don't have another chance.
157
Because you always, yeah.
158
Whether we have another chance or not, we should always assume we don't this transition is
159
so important you should combine your deep skills your deep expertise in the physical products in the electromechanical products
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and combine it with artificial intelligence I would not be surprised
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if currently most of the middle sides their challenges are reduction in labor
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because people are getting old the craft of
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that is captured in the knowledge the skills of the people are still are starting to get older
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and older every generation take advantage of artificial intelligence let them codify let them program let them teach
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this artificial intelligence and keep it here in germany right and let it re -engineer the chancellor's words
166
Chancellor's words re -engineer Germany.
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This is your chance to do it.
168
Well.
169
I think it's become obvious prerequisites to scale industrial AI in Germany are here
170
and they are very promising and the opportunities related to it are impressive.
171
It will be key, of course, Chancellor, to bridge the gap between innovation and implementation in factories and in value chains.
172
Is a cooperation with NVIDIA a part of the plan to do so?
173
Yeah, sure.
174
And this is already happening.
175
And I would like to say
176
that I'm extremely grateful about what we have just heard from this business leader of the world in terms of AI.
177
So you are giving me and hopefully us a great optimism about our business model in Germany.
178
And you might know that I'm always insisting that we have to remain a country with manufacturing.
179
And we should never give up that.
180
And now we are seeing a great opportunity in combining our experiences with manufacturing and AI.
181
So if we are successful in bringing these two
182
I'm really very optimistic that Germany can be one of the most successful economies in the world.
183
Because we are already, we are still the third biggest economy in the world.
184
So thank you for telling us what the opportunity is and comparing us with others.
185
And I believe and I share your view
186
that the Americans made a big mistake in the world mistake to export their manufacturing.
187
And now they are faced with a very small successful but very small base industry.
188
And this is our advantage to have this broader access and broader approach to the future of our industry.
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And look I'm a large American company and and we have incredible partnerships here in Germany for good reason.
190
It's good for us.
191
It's good for us.
192
Our partnership with Audi led to our partnership with Mercedes.
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Our partnership with Mercedes led to our investment in robotics which led to our partnership with agile robots.
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We just made an investment in them.
195
We made an investment.
196
Avelio's made an investment in Murilla made an investment in in reflex aerospace.
197
Last year we made investment in black forest labs.
198
Here in Germany you have deep science and technology and deep science
199
and math which are the fundamentals for manufacturing for the deep sciences for artificial intelligence.
200
And so there's so much there's so much technical expertise and there's so much deep science and deep math.
201
The one thing that you said also is
202
that you believed in a policy of advancing and encouraging AI startups or startups in general.
203
I think that's fantastic.
204
One of the things that I really love about the United States, of course, is that we constantly reinvigorate,
205
we constantly reinvent ourselves, and the way we do that is through all the entrepreneurs.
206
And so one of the things that I really love to see, we've invested tremendously in Germany.
207
In the last year, we've invested almost a billion dollars.
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This week, we're investing in four new companies.
209
And so in a lot of ways, we are one of the largest VCs in Germany, because I believe in Germany.
210
And so for all of the other venture capitalists,
211
you better hurry, because otherwise I'm going to take all the good deals and I'm going to be rich.
212
And so the The important thing is
213
that the thing I want to recognize is that the science and technology capability of Germany is just second to none.
214
We have a thousand employees here.
215
We have a fantastic office here in Berlin.
216
Some of the fundamental inventions of our companies came from our office here in Berlin in Germany.
217
And so this is you want to invest here.
218
Incredible people.
219
May I ask a question?
220
Could you give us an advice on regulation?
221
We are having a very strong debate in Brussels on the European level compared to the US.
222
What is the best way to regulate this industry or this new technology?
223
I think we agree on no regulation is not the right answer.
224
Too tight regulation is not the right answer either.
225
But what is from your view the right answer in terms of keeping the potential damage in mind
226
that this could happen and already happened.
227
So what is your advice on regulation?
228
What can we do better than others?
229
Safety is paramount.
230
There is no future for this industry without safe products.
231
Just as there is no future in autonomous vehicles if the vehicles are not safe.
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And so it is not a choice.
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You don't choose between safety and capability.
234
They are one.
235
They have to go together.
236
And so three pillars.
237
The first is you can't regulate if there's no technology.
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So the technology industry must invent the technology for safety.
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Just as Ola and I had to invent the technology and we have the safest autonomous vehicle in the car, in the world.
240
We had to invent the technology that allows you to achieve.
241
The functionality you want to see but also the guarantee of functional safety and active safety we want to deliver.
242
And so that requires invention of technology.
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That's the first pillar.
244
But that's something that Germany is incredibly good at.
245
Your science, your math, your technology is incredibly good.
246
You have to invent the technology of safety.
247
Safety is not hopes and dreams.
248
Safety is technology and engineering.
249
Second, the companies need to have best practices.
250
Sometimes the young companies, they're still trying to grow up and they make maybe more mistakes than they should.
251
We need to make sure that companies make, deliver on the best practices, best methods, and even in safety,
252
as many of the people in the audience, there are probably many in the automotive industry, you know that safety is deep methodology,
253
deep best practices, deep engineering.
254
And that methodology has to be adhered to.
255
And then lastly, there's industrial and government regulations.
256
If it turns out that, and remember AI is two things.
257
Just as the internet, regulating the internet is hard, but regulating internet applications is not so hard.
258
We should be regulating the applications right away.
259
And so if there are AI technologies
260
that you see that's being applied to a new type of product that is not covered by the existing regulatory bodies,
261
they have to evaluate as soon as possible and make sure that their regulation includes AI.
262
And so I would and I think I've also heard you say
263
that you want to find that balance between innovation and regulation.
264
There's nothing to regulate if the industry doesn't thrive.
265
You want the German AI industry to thrive as well as do it safely responsibly.
266
So I think I think the balance is really important to do.
267
And so I think that the answer is we know there's technology we can invent
268
and deploy in order to have AI safety.
269
We know that there are best practices that we can adhere to as companies and industries.
270
And then in addition to that, if necessary, we'll make sure we regulate.
271
Just briefly, Chancellor, what would be your answer to the same question?
272
Maybe very briefly.
273
No, thank you.
274
This was extremely helpful because we are talking about that on the European level.
275
We are talking that on the national level and my approach is
276
that we at least need the European level
277
and better we have a global level of regulation and of safety for this fantastic new technology.
278
So this is my personal view, but we are still far from that because we are having a different approach between the Americans and the Europeans.
279
But we are working on that and most in this room know
280
that I was successful to get the AI regulation out of the normal regulation of AI in the European Union
281
and to have a special regulation for the machinery industry in Germany
282
and not being part of the general AI limitation and regulation.
283
So this was a quick achievement which we had.
284
Give Germany a chance.
285
Yeah.
286
Give this industry a chance to.
287
Yeah.
288
And just finally, very, very briefly, Chancellor, if Jensen came back in a year's time, which we very much hope,
289
what would you hope for him to see?
290
I would like to see him regularly.
291
Let's say at least once a year and discussing progresses we made
292
and seeing a guy sitting in my office and being extremely happy about the German investment place.
293
nothing would give me more joy than to see all of my investments in Germany turn into gold.
294
Okay, so I have every belief and I'm very,
295
very happy to hear your personal support of the startup ecosystem.
296
I'm very happy to hear
297
that there are regulations involved to make it possible for the pension funds
298
and the and the risk capital the risk capital to come into Germany
299
and then and then I'm also I'm also super excited to hear about all of the AI startups
300
and the startups
301
that have happened in the last couple of years half of
302
the startups in Germany being founded in the last two years is AI yeah
303
that's terrific that's oriented yeah that's who knows maybe you are gonna ask them for some autographs next year.
304
You might want to bring a pen when you come.
305
Once they have their breakthroughs, some of them, I understand, were your interns in the past, and now they run their own companies.
306
It's been a pleasure to have you here.
307
Thank you to both of you, ladies and gentlemen.
308
Please give an applause to Chancellor Merz and Jensen Hwang.
309
Thank you so much.
310
It was great to have you.
311
Thank you.
312
Thank you for having me.
313
What an upbeat, promising start.
314
Thank you very much.
315
Thank you.
316
Well, ladies and gentlemen, you may now notice a little movement, but this evening is of course far from over.
317
Members of the press are about to leave us now.
318
This may take a couple of minutes.
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אוצר מילים והערות הגייה לשיעור הזה
שיעור הדיבור הזה ברמה C1 מבוסס על הסרטון “實戰練英文｜黃仁勳：你們要加油，不然我會拿走所有機會，然後我會變很有錢｜德國沒有下一個機會了｜投資德國高峰會｜長文、註解、大字版、中英對照”. המילים שחוזרות הכי הרבה: germany, technology, industry, companies. בסרטון הזה יש 317 משפטים ו-3380 מילים לתרגול Shadowing. הדיבור נמשך 25:38. הדובר שומר על קצב יציב של כ-132 מילים בדקה, קצב נוח לתרגול Shadowing. 86% מהמילים נמצאות בין 3,000 המילים הנפוצות ביותר באנגלית; כדאי ללמוד את השאר לפני שמתחילים.
אוצר מילים מרכזי בסרטון הזה
15 המילים המתקדמות ביותר בסרטון, עם ההגייה והמשמעות שלהן:
| מילה | הגייה | משמעות |
|---|---|---|
| startup שם עצם | /ˈstɑɹtˌʌp/ | סטארטאפ, חברת סטארטאפ |
| autonomous שם תואר | /ɔˈtɑnəməs/ | אוֹטוֹנוֹמִי |
| autograph שם עצם | /ˈɔtəɡɹæf/ | חתימה |
| robotics שם עצם | /ɹoʊˈbɑ.tɪks/ | רוֹבּוֹטִיקָה |
| pillar שם עצם | /ˈpɪlɚ/ | עמוד |
| thrive פועל | /θɹajv/ | שִֹגְשֵֹג |
| reset פועל | /ɹiːˈsɛt/ | אפס |
| optimistic שם תואר | /ˌɒptɪˈmɪstɪk/ | אוֹפְּטִימִי |
| invention שם עצם | /ɪnˈvɛnʃən/ | הַמְצָאָה |
| bartender שם עצם | /ˈbɑɹˌtɛndɚ/ | בַּרְמֶן, מוֹזֵג |
| optimism שם עצם | /ˈɑptɪmɪzəm/ | אופטימיות |
| atom שם עצם | /ˈætəm/ | אָטוֹם |
| selfie שם עצם | /ˈsɛlfi/ | סֶלְפִי |
| decisive שם תואר | /dɪˈsaɪsɪv/ | החלטי |
| breakthrough שם עצם | /ˈbɹeɪk.θɹuː/ | פריצת־דרך |
Phrasal verbs שתשמעו
| מילה | משמעות |
|---|---|
| give up פועל | וִתֵּר |
| grow up פועל | גָּדַל |
משפטים שכדאי לחזור עליהם
משפטים קצרים ושלמים מהסרטון שאפשר להשתמש בהם בשיחה יומיומית:
- Would you like to go there?
- What do you see?
- May I ask a question?
- Could you give us an advice on regulation?
- What can we do better than others?
דקדוק בסרטון הזה
המבנים שהדובר משתמש בהם הכי הרבה, עם המילים המדויקות מהסרטון:
| מבנה | בסרטון |
|---|---|
| הווה מושלם (Present perfect) have/has + past participle — פעולה שקרתה בעבר ועדיין יש לה חשיבות או השפעה עכשיו | has earned · has invested · has been |
| סביל (Passive voice) be + past participle — הדגש הוא על מה שקורה, לא על מי שעושה את הפעולה | be replaced · cannot be replaced · been accrued |
| משפטי זיקה (Relative clauses) who / which + clause — מידע נוסף על אדם או דבר | someone who you · data which are · somebody who is |
הגייה ששווה לשים לב אליה
הדובר משתמש ב-37 קיצורים וצורות מקוצרות, כמו I'm, don't, you're. אמרו אותם בצורה הקצרה, כפי שאתם שומעים אותם.
- הצלילים של “th”: thrive /θɹajv/, methodology /ˌmɛθ.əˈdɑ.lə.d͡ʒi/, breakthrough /ˈbɹeɪk.θɹuː/
- הצלילים של “sh” ו-“zh”: electrification /ɪˈlɛktɹɪfɪkeɪʃən/, machinery /məˈʃiːnəɹi/, invention /ɪnˈvɛnʃən/, specialize /ˈspɛʃəˌlaɪz/, workstation /ˈwɝkˌsteɪʃən/
- מילים ארוכות — שימו לב להטעמה: autonomous /ɔˈtɑnəməs/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, automotive /ˌɔtəˈmoʊtɪv/, electrification /ɪˈlɛktɹɪfɪkeɪʃən/, methodology /ˌmɛθ.əˈdɑ.lə.d͡ʒi/
צלילים שדוברי עברית מתקשים בהם:
- /w/ — שפתיים מעוגלות, לא /v/: swap /ˈswɑp/, prerequisite /pɹiˈɹɛkwəzət/, workstation /ˈwɝkˌsteɪʃən/
- /æ/ — פתוח יותר מה-“אֶ” העברית, לא כמו “a” ב-“cup”: autograph /ˈɔtəɡɹæf/, adhere /ædˈhɪə/, fascinate /ˈfæsɪneɪt/, manifest /ˈmæn.ɪ.fɛst/, lastly /ˈlæstli/
- /r/ — הלשון לא נוגעת בשום מקום, לא ה-“ר” הגרונית: regulate /ˈɹɛɡ.jə.leɪt/, startup /ˈstɑɹtˌʌp/, autograph /ˈɔtəɡɹæf/, electrification /ɪˈlɛktɹɪfɪkeɪʃən/, orient /ˈɔɹ.iˌɛnt/
איך לתרגל עם הסרטון הזה
- הקשיבו לכל הסרטון פעם אחת בלי לדבר, ורשמו את המילים שאתם לא מכירים.
- תרגלו Shadowing משפט אחר משפט במהירות רגילה, וחזרו על כל משפט עד שהקצב שלכם תואם את הדובר.
- הקליטו את עצמכם והשוו למקור, תוך תשומת לב למילים כמו startup, autonomous, autograph.
מהי טכניקת השאדואינג?
שאדואינג היא טכניקת למידת שפה מבוססת מדע שפותחה במקור להכשרת מתורגמנים מקצועיים ופופולרית על ידי הפוליגלוט ד"ר אלכסנדר ארגואלס. השיטה פשוטה אך עוצמתית: אתה מקשיב לאודיו באנגלית ילידית וחוזר עליו בקול רם מיד — כמו צל העוקב אחרי הדובר עם עיכוב של 1–2 שניות בלבד. בניגוד להאזנה פסיבית או תרגילי דקדוק, שאדואינג מכריח את המוח והשרירים בפה לעבד ולשחזר דפוסי דיבור אמיתיים בו זמנית. מחקרים מראים שזה משפר משמעותית את דיוק ההגייה, האינטונציה, הקצב, הדיבור המחובר, הבנת השמיעה ושטף הדיבור — מה שהופך אותו לאחת השיטות היעילות ביותר להכנה לIELTS Speaking ולתקשורת באנגלית בעולם האמיתי.