शैडोइंग अभ्यास: 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 - वीडियो के साथ अंग्रेजी बोलना सीखें
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318 वाक्य
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1
It is now my pleasure to introduce to you someone who you can already see,
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someone very special, one of the most influential figures in tech.
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He has co -founded NVIDIA in 1993, led it ever since, built it into the most valuable company in the world.
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Last time I checked, right?
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More than 5 trillion, not billion, trillion US dollars.
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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,
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but because wherever he goes, crowds gather and are waiting for an autograph or a selfie.
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We might just be so lucky tonight, Mr. Chancellor.
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And I do hope you don't take this as a prompt.
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Don't rush the stage.
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But please give a very warm welcome to Jensen Huang.
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Welcome to Germany.
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I can see you're already getting comfortable for our fireside chat.
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Also a bartender.
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Well, Chancellor, if you could swap jobs with Jensen for just a day, what would you do first, you think?
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Oh, that's a great idea to swap the jobs.
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Would you like to go there?
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No. Well.
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Thank you.
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I give you my answer.
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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.
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Thank you for that.
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We are really grateful.
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Thank you for doing this.
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And this is a great signal for our country.
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Thank you.
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You know NVIDIA story and Germany story played a very large role.
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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
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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?
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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.
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So I won't even get there asking you what you would do as a chancellor.
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We let you be you for now and I suspect you can already picture things that we might not even imagine yet.
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So take us into an engineering office or a factory of the future.
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What do you see?
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What is this going to look like?
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Oh, that's interesting.
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In fact, the factory, every single company in the future will have two factories.
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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.
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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,
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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.
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They will build brains and the brains that go into the products that they ship.
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Fascinating.
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Yeah, it's going to be cool.
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Chancellor, of course the ambition is to bring AI into everyday use across German industry from large manufacturers,
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Mittelstand to also smaller firms.
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Could you perhaps share a few concrete examples of how you
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and the German government are ensuring that this widespread deployment is actually taking place?
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Sure.
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First of all, I would like to say
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that I'm really impressed what NVIDIA and German companies are already doing in this country.
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Ola Kelenius just handed out a model from the new S -Class of Mercedes to me,
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promising that this car will be autonomous driving in Germany by the end of this year.
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Safest and the most autonomous.
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So this is happening in Germany.
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So we are in the government,
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we are fully committed to be one of the most advanced places in the world, not just in the European Union,
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but in the world to work with AI, to integrate AI into our industry.
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And one of the biggest, if not the biggest advantage we have in Germany is our so -called Mittelstand.
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And I'm very happy to see that we are having here tonight many smaller and medium -sized companies from Germany.
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Please open your doors for AI to make use of your data.
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This is so decisive for the German future this is a real secret
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and a real advantage for Germany to use to make use of all the data which are already available in our companies.
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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,
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I'm really optimistic that we will be one of the leading
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if not the leading country in the world in terms of spread AI for all the companies of our manufacturers,
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machinery, automotive industry, supplies of automotive industry.
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I think this is a great opportunity and I'm decided to meet that.
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Yeah, you're absolutely right.
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So first of all, the data of Germany is part of your natural resources.
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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,
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your values, your knowledge, your experience.
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It's your natural resource.
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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.
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But you should not export your culture, export your values, export your knowledge,
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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.
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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.
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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.
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Because you always, yeah.
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Whether we have another chance or not, we should always assume we don't this transition is
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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.
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I think it's become obvious prerequisites to scale industrial AI in Germany are here
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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?
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Yeah, sure.
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And this is already happening.
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And I would like to say
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that I'm extremely grateful about what we have just heard from this business leader of the world in terms of AI.
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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.
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And now we are seeing a great opportunity in combining our experiences with manufacturing and AI.
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So if we are successful in bringing these two
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I'm really very optimistic that Germany can be one of the most successful economies in the world.
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Because we are already, we are still the third biggest economy in the world.
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So thank you for telling us what the opportunity is and comparing us with others.
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And I believe and I share your view
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that the Americans made a big mistake in the world mistake to export their manufacturing.
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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.
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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
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and math which are the fundamentals for manufacturing for the deep sciences for artificial intelligence.
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And so there's so much there's so much technical expertise and there's so much deep science and deep math.
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The one thing that you said also is
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that you believed in a policy of advancing and encouraging AI startups or startups in general.
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I think that's fantastic.
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One of the things that I really love about the United States, of course, is that we constantly reinvigorate,
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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.
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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
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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.
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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.
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And so this is you want to invest here.
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Incredible people.
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May I ask a question?
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Could you give us an advice on regulation?
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We are having a very strong debate in Brussels on the European level compared to the US.
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What is the best way to regulate this industry or this new technology?
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I think we agree on no regulation is not the right answer.
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Too tight regulation is not the right answer either.
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But what is from your view the right answer in terms of keeping the potential damage in mind
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that this could happen and already happened.
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So what is your advice on regulation?
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What can we do better than others?
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Safety is paramount.
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There is no future for this industry without safe products.
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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.
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They are one.
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They have to go together.
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And so three pillars.
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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.
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We had to invent the technology that allows you to achieve.
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The functionality you want to see but also the guarantee of functional safety and active safety we want to deliver.
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And so that requires invention of technology.
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That's the first pillar.
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But that's something that Germany is incredibly good at.
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Your science, your math, your technology is incredibly good.
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You have to invent the technology of safety.
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Safety is not hopes and dreams.
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Safety is technology and engineering.
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Second, the companies need to have best practices.
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Sometimes the young companies, they're still trying to grow up and they make maybe more mistakes than they should.
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We need to make sure that companies make, deliver on the best practices, best methods, and even in safety,
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as many of the people in the audience, there are probably many in the automotive industry, you know that safety is deep methodology,
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deep best practices, deep engineering.
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And that methodology has to be adhered to.
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And then lastly, there's industrial and government regulations.
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If it turns out that, and remember AI is two things.
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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.
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And so if there are AI technologies
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that you see that's being applied to a new type of product that is not covered by the existing regulatory bodies,
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they have to evaluate as soon as possible and make sure that their regulation includes AI.
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And so I would and I think I've also heard you say
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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.
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You want the German AI industry to thrive as well as do it safely responsibly.
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So I think I think the balance is really important to do.
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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.
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Just briefly, Chancellor, what would be your answer to the same question?
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Maybe very briefly.
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No, thank you.
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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.
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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
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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.
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So this was a quick achievement which we had.
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Give Germany a chance.
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Yeah.
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Give this industry a chance to.
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Yeah.
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And just finally, very, very briefly, Chancellor, if Jensen came back in a year's time, which we very much hope,
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what would you hope for him to see?
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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
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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
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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.
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It's been a pleasure to have you here.
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Thank you to both of you, ladies and gentlemen.
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Please give an applause to Chancellor Merz and Jensen Hwang.
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Thank you so much.
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It was great to have you.
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Thank you.
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Thank you for having me.
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What an upbeat, promising start.
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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.
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This may take a couple of minutes.
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इस पाठ की शब्दावली और बोलने के सुझाव
यह स्पीकिंग पाठ वीडियो “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” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: germany, technology, industry, companies। इस वीडियो में शैडोइंग के लिए 317 वाक्य और 3380 शब्द हैं। बोला गया हिस्सा 25:38 लंबा है। वक्ता लगभग 132 शब्द प्रति मिनट की स्थिर गति से बोलता है, जो शैडोइंग के लिए आरामदायक है। 86% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं; बाकी शब्द अभ्यास से पहले देख लेना अच्छा रहेगा।
इस वीडियो की मुख्य शब्दावली
वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:
| शब्द | उच्चारण | अर्थ |
|---|---|---|
| regulation संज्ञा | /ˌɹɛɡjʊˈleɪʃən/ | विनियम |
| chancellor संज्ञा | /ˈt͡ʃænsələ/ | चांसलर, चैंसेलर |
| partnership संज्ञा | /ˈpɑɹtnɚʃɪp/ | भागीदारी |
| artificial विशेषण | /ˌɑː.tɪˈfɪʃ.əl/ | कृत्रिम |
| export संज्ञा | /ˈɛks.pɔɹt/ | निर्यात |
| capability संज्ञा | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | क्षमता |
| autonomous विशेषण | /ɔˈtɑnəməs/ | स्वायत्त |
| combine क्रिया | /kəmˈbaɪn/ | मिलाना |
| twin संज्ञा | /twɪn/ | जुड़वाँ, यमज |
| mathematics संज्ञा | /mæθ(.ə)ˈmæt.ɪks/ | गणित, गणित-विधा |
| grateful विशेषण | /ˈɡɹeɪtf(ə)l/ | आभारी, कृतज्ञ |
| leather संज्ञा | /ˈlɛðɚ/ | चमड़ा, चर्म |
| innovation संज्ञा | /ˌɪn.əˈveɪ.ʃən/ | नवाचार |
| jacket संज्ञा | /ˈd͡ʒæk.ɪt/ | जैकेट |
| robot संज्ञा | /ˈɹoʊ.bɑt/ | रोबोट, यंत्रमानव |
दोहराने लायक वाक्य
वीडियो के छोटे, पूरे वाक्य जिन्हें आप रोज़ की बातचीत में इस्तेमाल कर सकते हैं:
- 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?
इस वीडियो का व्याकरण
वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:
| संरचना | वीडियो में |
|---|---|
| Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है | has earned · has invested · has been |
| Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है | be replaced · cannot be replaced · been accrued |
| Relative clauses who / which + उपवाक्य — व्यक्ति या वस्तु के बारे में अतिरिक्त जानकारी | someone who you · data which are · somebody who is |
ध्यान देने योग्य उच्चारण
वक्ता 37 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे I'm, don't, you're। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।
- “th” की ध्वनियाँ: mathematics /mæθ(.ə)ˈmæt.ɪks/, leather /ˈlɛðɚ/, methodology /ˌmɛθ.əˈdɑ.lə.d͡ʒi/, thrive /θɹajv/, gather /ˈɡæðɚ/
- “sh” और “zh” की ध्वनियाँ: regulation /ˌɹɛɡjʊˈleɪʃən/, partnership /ˈpɑɹtnɚʃɪp/, artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, invention /ɪnˈvɛnʃən/
- लंबे शब्द — बलाघात सही रखें: regulation /ˌɹɛɡjʊˈleɪʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, autonomous /ɔˈtɑnəməs/, mathematics /mæθ(.ə)ˈmæt.ɪks/
हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:
- /v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: invest /ɪnˈvɛst/, invent /ɪnˈvɛnt/, twin /twɪn/, swap /ˈswɑp/, automotive /ˌɔtəˈmoʊtɪv/
- /z/ — इसे “ज” (/dʒ/) न बनाएँ: expertise /ˌɛkspɜːˈtiːz/, transition /tɹænˈzɪʃ.ən/, resource /ɹɪˈzɔːs/, applause /əˈplɔːz/, optimism /ˈɑptɪmɪzəm/
- शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: startup /ˈstɑɹtˌʌp/, swap /ˈswɑp/, skill /skɪl/, specialize /ˈspɛʃəˌlaɪz/
इस वीडियो से अभ्यास कैसे करें
- पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
- सामान्य गति पर एक-एक वाक्य की शैडोइंग करें और हर वाक्य तब तक दोहराएँ जब तक आपकी लय वक्ता से न मिल जाए।
- अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर regulation, chancellor, partnership जैसे शब्दों पर ध्यान दें।
शैडोइंग तकनीक क्या है?
शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।