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318 文

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It is now my pleasure to introduce to you someone who you can already see,

someone very special, one of the most influential figures in tech.

He has co -founded NVIDIA in 1993, led it ever since, built it into the most valuable company in the world.

Last time I checked, right?

More than 5 trillion, not billion, trillion US dollars.

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,

but because wherever he goes, crowds gather and are waiting for an autograph or a selfie.

We might just be so lucky tonight, Mr. Chancellor.

And I do hope you don't take this as a prompt.

Don't rush the stage.

But please give a very warm welcome to Jensen Huang.

Welcome to Germany.

I can see you're already getting comfortable for our fireside chat.

Also a bartender.

Well, Chancellor, if you could swap jobs with Jensen for just a day, what would you do first, you think?

Oh, that's a great idea to swap the jobs.

Would you like to go there?

No. Well.

Thank you.

I give you my answer.

I rather would put my leather jacket on.

I would take a flight to Berlin.

I would like to see the German Chancellor.

And I would tell him I'm ready to invest.

Well, that's exactly what I'm doing.

I think we could arrange a meeting.

No nobody has invested more in Germany.

Thank you for that.

We are really grateful.

Thank you for doing this.

And this is a great signal for our country.

Thank you.

You know NVIDIA story and Germany story played a very large role.

In fact in the year 2000 NVIDIA was a consumer oriented technology.

We were only building for PC gaming.

And it was a company in Germany, Elsa, that partnership led us into workstations, which led us into all of the car companies.

And today, we work with the car companies from styling, design, engineering, simulation, manufacturing, all the way out to the cars.

It was in 2005 that

Audi brought us into the car industry, inside the car.

And it was 2023.

Was it 2023?

2020?

Yeah, 2020 that OLA and I established a partnership to build autonomous vehicles.

And so Germany and NVIDIA has been very close for a long time.

I think I already heard that you wouldn't like to swap jobs.

So I won't even get there asking you what you would do as a chancellor.

We let you be you for now and I suspect you can already picture things that we might not even imagine yet.

So take us into an engineering office or a factory of the future.

What do you see?

What is this going to look like?

Oh, that's interesting.

In fact, the factory, every single company in the future will have two factories.

The factory that is real and the factory that is digital.

And the factory that is digital will be so real, it might as be real.

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.

And so in the future, I believe that most people here in Germany will mostly work inside a digital twin of their company.

They will build digital cars.

Those cars will have digital brains.

The manufacturing, the factories will have digital, of course, artificial intelligence robots,

building inside a robotic factory, building cars that will be robotic.

And everything will be completely software driven.

Everything will be completely AI driven.

So every company will build two things.

They will build brains and the brains that go into the products that they ship.

Fascinating.

Yeah, it's going to be cool.

Chancellor, of course the ambition is to bring AI into everyday use across German industry from large manufacturers,

Mittelstand to also smaller firms.

Could you perhaps share a few concrete examples of how you

and the German government are ensuring that this widespread deployment is actually taking place?

Sure.

First of all, I would like to say

that I'm really impressed what NVIDIA and German companies are already doing in this country.

Ola Kelenius just handed out a model from the new S -Class of Mercedes to me,

promising that this car will be autonomous driving in Germany by the end of this year.

Safest and the most autonomous.

So this is happening in Germany.

So we are in the government,

we are fully committed to be one of the most advanced places in the world, not just in the European Union,

but in the world to work with AI, to integrate AI into our industry.

And one of the biggest, if not the biggest advantage we have in Germany is our so -called Mittelstand.

And I'm very happy to see that we are having here tonight many smaller and medium -sized companies from Germany.

Please open your doors for AI to make use of your data.

This is so decisive for the German future this is a real secret

and a real advantage for Germany to use to make use of all the data which are already available in our companies.

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,

I'm really optimistic that we will be one of the leading

if not the leading country in the world in terms of spread AI for all the companies of our manufacturers,

machinery, automotive industry, supplies of automotive industry.

I think this is a great opportunity and I'm decided to meet that.

Yeah, you're absolutely right.

So first of all, the data of Germany is part of your natural resources.

It belongs to the nation.

The data of your digital experience, or otherwise known as data, The data of your country is your culture,

your values, your knowledge, your experience.

It's your natural resource.

It belongs to the nation.

And you're absolutely right that you should import the technology to harvest that data and turn it into your national intelligence.

But you should not export your culture, export your values, export your knowledge,

100

export your history, and then import German intelligence back.

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Makes no sense.

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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.

104

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.

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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.

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The work that you know belongs, that knowledge belongs to you.

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The expertise of your domain, that belongs to you.

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Artificial general intelligence will never replace domain expertise.

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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.

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It cannot be replaced.

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And so AI can only augment your capability.

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It will not replace your capability.

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So take advantage of the technology.

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It's a new instrument.

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As for some of these advantages, Jensen, we have on the one hand decades of industrial data.

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We have very skilled labor, if you like.

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We have the engineering expertise.

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So this certainly, as you seem to point out, speaks for a lot of advantages for Germany.

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You have a global perspective, however.

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There are other countries that also have strengths, that also like to take advantage of their strengths.

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You talk to so many governments across the globe, to so many companies across the world.

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If you take this global perspective,

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how is Germany braced for this sort of next race in AI?

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As you know, the last major industrial revolution was electrification.

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before the one I'll describe.

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Electrification resulted in really three geographical leaders.

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Germany, United States, Japan.

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For the last 50 years, because of the current industrial revolution, which is computing and digital technology,

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The United States has largely exported its heavy manufacturing,

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its building, its craft, really to China.

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So now the world has three again.

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But it's Germany, Japan, and China.

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The advantage that

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China has is that they came into their industrial revolution,

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if you will, their economic transformation happened during precisely the time of the computer industry.

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They are quite computerized.

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China is probably the only nation today that is deep in manufacturing and deep in computer science and very comfortable in both.

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Well, the good news is there's a complete reset.

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The last 50 years was about software programming.

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United States is obviously world -class.

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But there's a new era now.

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The computer programs itself.

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You just have to show the computer what you want.

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Computer programming, all of the advantages of the last generation, has now been accrued into artificial intelligence

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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

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that you have the work you know the domain expertise you have the craft

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that is here it will remain here but you have to take advantage of this new technology.

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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

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Chancellor's words re -engineer Germany.

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This is your chance to do it.

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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.

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It will be key, of course, Chancellor, to bridge the gap between innovation and implementation in factories and in value chains.

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Is a cooperation with NVIDIA a part of the plan to do so?

173

Yeah, sure.

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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.

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And you might know that I'm always insisting that we have to remain a country with manufacturing.

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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.

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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.

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It's good for us.

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It's good for us.

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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.

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We made an investment.

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Avelio's made an investment in Murilla made an investment in in reflex aerospace.

197

Last year we made investment in black forest labs.

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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.

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And so one of the things that I really love to see, we've invested tremendously in Germany.

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In the last year, we've invested almost a billion dollars.

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This week, we're investing in four new companies.

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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,

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you better hurry, because otherwise I'm going to take all the good deals and I'm going to be rich.

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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.

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We have a thousand employees here.

215

We have a fantastic office here in Berlin.

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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.

232

And so it is not a choice.

233

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.

238

So the technology industry must invent the technology for safety.

239

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.

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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.

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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

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and deploy in order to have AI safety.

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We know that there are best practices that we can adhere to as companies and industries.

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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.

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We are talking that on the national level and my approach is

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that we at least need the European level

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and better we have a global level of regulation and of safety for this fantastic new technology.

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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

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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

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and not being part of the general AI limitation and regulation.

283

So this was a quick achievement which we had.

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Give Germany a chance.

285

Yeah.

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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.

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Let's say at least once a year and discussing progresses we made

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and seeing a guy sitting in my office and being extremely happy about the German investment place.

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nothing would give me more joy than to see all of my investments in Germany turn into gold.

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Okay, so I have every belief and I'm very,

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very happy to hear your personal support of the startup ecosystem.

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I'm very happy to hear

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that there are regulations involved to make it possible for the pension funds

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and the and the risk capital the risk capital to come into Germany

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and then and then I'm also I'm also super excited to hear about all of the AI startups

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and the startups

301

that have happened in the last couple of years half of

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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.

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You might want to bring a pen when you come.

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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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このレッスンの語彙とスピーキングのポイント

このスピーキングレッスンは、動画「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」を教材にしています。繰り返し出てくる語は次のとおりです：germany, technology, industry, companies。この動画には、シャドーイング用の文が317文、単語が3380語あります。音声の長さは25:38です。話す速さは1分あたり約132語で安定しており、シャドーイングしやすいペースです。単語の86%は英語の頻出3,000語に含まれます。残りは練習の前に確認しておきましょう。

この動画の重要語彙

動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。

単語	発音	意味
regulation 名詞	/ˌɹɛɡjʊˈleɪʃən/	規制
chancellor 名詞	/ˈt͡ʃænsələ/	首相, 宰相
partnership 名詞	/ˈpɑɹtnɚʃɪp/	パートナーシップ, 協力関係
artificial 形容詞	/ˌɑː.tɪˈfɪʃ.əl/	人工の
regulate 動詞	/ˈɹɛɡ.jə.leɪt/	調節する
invest 動詞	/ɪnˈvɛst/	投入する
export 名詞	/ˈɛks.pɔɹt/	輸出品
expertise 名詞	/ˌɛkspɜːˈtiːz/	専門的知識
startup 名詞	/ˈstɑɹtˌʌp/	スタートアップ, ベンチャー
belong 動詞	/bɪˈlɒŋ/	所属する, 属する
capability 名詞	/ˌkeɪ.pəˈbɪl.ɪ.ti/	能力
autonomous 形容詞	/ɔˈtɑnəməs/	自治, 自主的な
invent 動詞	/ɪnˈvɛnt/	発明する
combine 動詞	/kəmˈbaɪn/	合わせる, 結び付ける
twin 名詞	/twɪn/	双子

動画に出てくる句動詞

単語	意味
give up 動詞	降服する
grow up 動詞	成長する, 大人に成る
hand out 動詞	配る, 配布する
point out 動詞	指す, 指し示す

繰り返し練習したい文

動画に出てくる短く完結した文です。日常会話でそのまま使えます。

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?

この動画の文法

話し手がよく使っている文型を、動画の実際の表現とともに紹介します。

文型	動画での表現
現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している	has earned · has invested · has been
受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる	be replaced · cannot be replaced · been accrued
関係詞節 who / which + 節 — 人や物について情報を加える	someone who you · data which are · somebody who is

注意したい発音

話し手はI'm, don't, you'reなど、短縮形や弱形を37回使っています。聞こえたとおりの短い形で発音しましょう。

「th」の音: mathematics /mæθ(.ə)ˈmæt.ɪks/, leather /ˈlɛðɚ/, methodology /ˌmɛθ.əˈdɑ.lə.d͡ʒi/, thrive /θɹajv/, gather /ˈɡæðɚ/
「sh」と「zh」の音: regulation /ˌɹɛɡjʊˈleɪʃən/, partnership /ˈpɑɹtnɚʃɪp/, artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, invention /ɪnˈvɛnʃən/
長い単語（アクセントの位置に注意）: regulation /ˌɹɛɡjʊˈleɪʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, autonomous /ɔˈtɑnəməs/, mathematics /mæθ(.ə)ˈmæt.ɪks/

日本語話者が苦手な音：

/r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: regulation /ˌɹɛɡjʊˈleɪʃən/, regulate /ˈɹɛɡ.jə.leɪt/, briefly /ˈbɹiːfli/, incredibly /ɪŋˈkɹɛdɪbli/, grateful /ˈɡɹeɪtf(ə)l/
/v/ — /b/ にならないように、上の歯を下唇に当てる: invest /ɪnˈvɛst/, invent /ɪnˈvɛnt/, automotive /ˌɔtəˈmoʊtɪv/, innovation /ˌɪn.əˈveɪ.ʃən/, invention /ɪnˈvɛnʃən/
/f/ — 「フ」ではなく、上の歯と下唇で出す: artificial /ˌɑː.tɪˈfɪʃ.əl/, craft /ˈkɹæft/, briefly /ˈbɹiːfli/, grateful /ˈɡɹeɪtf(ə)l/, fundamental /ˌfʌn.dəˈmɛn.təl/

この動画での練習方法

まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
通常の速度で一文ずつシャドーイングし、話し手のリズムに合うまで繰り返します。
自分の声を録音して元の音声と比べます。regulation, chancellor, partnershipなどの単語に特に注意しましょう。

シャドーイングとは？英語上達に効果的な理由

シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。

シャドーイングのやり方: ステップ別の完全ガイドを読む →

シャドーイング練習: 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 - 動画で英語スピーキングを学ぶ

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シャドーイングとは？英語上達に効果的な理由