シャドーイング練習: 十年後的電腦會長什麼樣？黃仁勳：就像今天的手機，最少拿來打電話｜中英字幕 - 動画で英語スピーキングを学ぶ

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199 文
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15, 20 years ago, we used to have an idea called a phone.
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Today, we have an idea called a PC.
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Today, when you think about your phone, the one thing you don't do with it is make phone calls.
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My relationship with you started here.
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And many of you, many of you, many of my friends and partners here in Taiwan, your companies started here.
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this is in a lot of ways the beginning of the modern computer industry 40 years now
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and video is 33 years old the pc industry was already starting to get to windows 1
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and windows 2 and apple apple 1 and apple 2
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and by the time that we came along windows 3 .1 was the pc
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And as you know, Windows 95 made PC personal.
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It took PC from enterprises, companies, and made it into a consumer electronics device.
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Everybody should have one, and everybody does.
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This is the beginning.
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This computing platform did several things incredibly smart.
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Windows was not just disaggregated, as you know.
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Windows was properly abstracted it was architected just right.
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40 years later, Microsoft and NVIDIA are going to reinvent the PC.
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This is going to be the new PC.
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Now, tomorrow night, tomorrow night, I think it's tomorrow night, our time, but I'm going to be with Satya.
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We're going to talk a lot more about the work that we're doing together.
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Microsoft and NVIDIA, over the last three years, it took this long to completely reinvent how the PC is going to work
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so that we could be ready for this moment.
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As I mentioned earlier, that compute pattern called the agent is going to run in AI clouds.
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It's going to run inside enterprises.
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It is also going to run on your PC.
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What's going to happen to that PC when it has an autonomous agent, an agent that's helping you, that understands you?
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You could talk to it.
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It could look at you.
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You could ask it to read files, go help you do some research.
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It could do a lot more that I'll show you.
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But the new operating system is, of course, the old operating system plus large language models.
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Large language models, in a lot of ways, is the modern version of DirectX.
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It has, of course, input and output, understands prompts.
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It understands computer vision.
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It can generate video.
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It can generate sounds.
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It is the modern extension, the intelligence extension of the PC, of a computer.
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On top of that, the application, as I mentioned before, is going to be replaced by now an agentic runtime.
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And that is the modern application, an agent.
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Let's now take a look at what it can do.
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It started with a spark.
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An idea.
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To reimagine the PC for the first time in 40 years.
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For the age of AI.
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What becomes of our personal computer in a world of agents?
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Agents running natively.
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Connected to models.
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Local or in the cloud.
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Our personal AI.
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Sandboxed for security.
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Running continuously.
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Getting work done.
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The chips and the OS must evolve.
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Introducing RTX Spark.
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Everything we've learned over 33 years, distilled into one chip.
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Blackwell RTX GPU with 6 ,144 CUDA cores.
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One petaflop of AI performance.
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A custom 20 -core
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Grace CPU built in partnership with MediaTek.
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Fused by MVLink.
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128 gigabytes of unified memory.
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TSMC 3 nanometer process.
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70 billion transistors.
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And in close collaboration with Microsoft, a Windows platform for agents.
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We're reinventing the personal computer. For creating. For gaming.
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For agents, this is the dawn of a new personal computing revolution.
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And it starts with NVIDIA RTX Spark.
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Here it is.
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Of course, I got to show you the most beautiful part, which is video games.
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It's also the closest to our heart.
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This is Forza.
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This is 007, by the way.
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The new 007 game, I'm looking forward to playing it.
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I look a little bit like him.
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Ladies and gentlemen, NVIDIA's RTX Spark laptops.
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Now, thank you.
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I have too many things in my pocket.
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Okay, all right.
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This is the most amazing chip the world has ever built.
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This is the N1X that we built in partnership with MediaTek.
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I think I saw Rick earlier.
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This is N1X.
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This is a beautiful chip.
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This is a chip that, frankly, would take 33 years to build.
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And the reason for that is because 100 % of NVIDIA software stack runs here.
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If you want to run digital biology, no problem.
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If you want to do seismic processing, no problem.
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You want astrophysics, no problem.
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Everything associated with CUDA, all the physics, all the biology, all the genomics, all the AI, no problem, all the computer graphics, no problem.
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Every single application NVIDIA has ever created and every single application that
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Windows has ever run.
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Microsoft and NVIDIA meticulously optimized everything so that this computer literally runs everything the world has ever created.
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Plus, it now runs agents.
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An incredible computer.
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I'm so proud of it.
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Okay.
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Now, I want you to keep that in mind in the next video I'm going to show you.
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Just imagine, everything here is going to run on your PC.
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Now, that computer could have a local NemoTron 3
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Ultra model or NemoTron 3 supermodel,
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or it could have a cloud code or codex or some other model in the cloud or something on the network.
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And it's going to work and do something amazing.
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Let's play it.
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Every house starts as an idea.
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Getting from idea to design takes a myriad of tools.
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expertise, and a lot of time.
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Now, an agent running locally on RTX Spark can help me design a house using the tools on my laptop
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with an open shell sandbox, running the Hermes harness connected to Claude Sonnet in the cloud.
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I select the site, share my concept sketches and mood board of styles to inspire my design.
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And the prompt, a text description of the requirements and the design intent.
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My agent goes to work.
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Using the tools on my laptop, it opens Rhino and starts modeling the site, shaping terrain, setbacks, and the building envelope.
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Then it proposes building forms, optimized for cost, comfort, and quality.
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With the form defined, my agent generates the interior layout, walls, circulation rooms begin to take shape.
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I jump in whenever I want to adjust to change.
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Doors, windows, and structural elements are placed automatically.
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My agent detects its own mistakes and fixes them.
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What was once a complex workflow is now guided and simplified by my agent.
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Working with me on RTX Spark.
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Designed at the speed of imagination.
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He's seeing the world of agents.
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The developers are so excited about it.
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This is an incredible computer.
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All of the acceleration, all the software capabilities associated with it, working with every developer to make it incredible for all of you.
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The next one, Adobe.
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Incredible tool suite, of course, used by tens of millions of people around the world.
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They have re -engineered the architecture, the core of Adobe Photoshop and Premiere, and they'll release it for RTX Spark.
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It is twice as fast.
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It's already fast.
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Now it's going to be twice as fast.
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And it's also designed to be agent -friendly.
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With its MCP server, it can now interact with agents on your laptop.
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The number of customers, the number of partners that are so excited to bring RTX Spark to the market, it's just incredible.
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You know, this is the first across the lineup of PC reinvention for 40 years.
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And I'm just so happy that all of you and the ecosystem around the world has joined us.
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This is basically everybody.
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Everybody will support RTX Spark and will be building incredibly smart and powerful and beautiful laptops with all of us.
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Thank you very much. But that's not all.
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That's not all.
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RTX Spark is a reinvention of laptop.
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But in fact, Microsoft NVIDIA is reinventing all of PC.
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And today we're announcing a whole new line.
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Three revolutionary Windows machines covering desktop, laptop, and workstations all 100 % Windows compatible,
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100 % CUDA, 100 % NVIDIA AI Tensor Core.
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Everything that runs, that you see that runs on NVIDIA and all these different platforms around the world runs here.
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This is the first completely re -engineered, reinvented line of PCs that has happened in 40 years.
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Now, what's really amazing is this.
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So this is the RTX Spark laptop.
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This is the desktop.
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So this one's from MSI.
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Joseph, this one's yours.
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Okay.
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Look how beautiful it is.
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This agent could run 24 -7.
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Meter free.
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And you could download your agent.
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You could raise your lobster in here.
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This is your claw.
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It's running all the time.
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No meter anxiety and is sitting here connected to your whole house, connected to your laptop, connected to your display,
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all the cameras, your dryer, your water cooler, your water heater, your everything, whatever you want,
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your security system, all connected to this and this becomes your personal AI, your personal AI agent.
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And it gets smarter and smarter and smarter over time because today we have Nemotron 3
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Ultra, Tomorrow we have Nemotron 4, and then Nemotron 5, Nemotron 6, and we just keep getting us smarter and smarter and smarter.
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And meanwhile, this is sitting at home helping you do things.
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If you want to book a travel, no problem.
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Remember, 15, 20 years ago, we used to have an idea called a phone.
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Today, we have an idea called a PC.
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Today, when you think about your phone, the one thing you don't do with it is make phone calls.
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You do just about everything else.
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And so that phone means something very different to you than a phone of the past.
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I am certain what's going to happen here is
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that the PC 10 years from now and the PC that you think about today, a tool, whether you launch applications,
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click and type, and this PC is going to be completely different.
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Here's my theory.
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I can totally imagine, just as every house today has a home theater,
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where many houses have home theaters, big TVs, lawnmowers, dishwashers.
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I could totally imagine that someday there's actually an AI supercomputer in your house, and it's running all of your agents.
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It's running all of your assistants.
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And they're doing all kinds of things for you all the time.
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And you have to have it in your house, just like you have a home theater in your house, you have stereos in your house,
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you have game consoles in your house.
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You want to assist AI agent computers running in your house.
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And these, in time, becomes a lot more like R2 -D2 to you.
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It becomes more like C3PO to you then it feels like a PC to you.
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There is no question this reinvention of the computer
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is as big of a deal as the reinvention of the phone into what we now know as the smartphone.
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And so this is the beginning of that journey.
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This is the beginning of a new line.
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And so we have a roadmap for this.
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This is a brand new product family for us.
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Every single generation of architecture, we will have a desktop,
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a laptop, a workstation, and then a desktop, a laptop, and workstation.
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And the thing that I am just incredibly pleased,
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incredibly honored, is that 100 % of the world's PC industry has joined us to reinvent the PC.
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A new line.
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a new beginning.
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Thank you.
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Thank you.

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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「十年後的電腦會長什麼樣？黃仁勳：就像今天的手機，最少拿來打電話｜中英字幕」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：agent, computer, Rtx, spark, laptop。 この動画には、シャドーイング用の文が199文、単語が1898語あります。 音声の長さは15:33です。 話す速さは1分あたり約122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82%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
laptop 名詞/ˈlæp.tɑp/ノートパソコン, ラップトップ
spark 名詞/ˈspɑɹk/火花, 火の粉
connect 動詞/kəˈnɛkt/繋げる
cloud 名詞/ˈklaʊ̯d/雲, 雲霞
desktop 名詞/ˈdɛsktɒp/机の上
theater 名詞/ˈθi(ə)tɚ/劇場, シアター
generate 動詞/ˈd͡ʒɛn.ə.ɹeɪt/生む, 生み出す
partnership 名詞/ˈpɑɹtnɚʃɪp/パートナーシップ, 協力関係
extension 名詞/ɪkˈstɛnʃən/拡張, 拡大
architecture 名詞/ˈɑː.kɪˌtɛk.t͡ʃə/建築, 建築学
associate 名詞/əˈsoʊʃi.ət/提携者
enterprise 名詞/ˈɛntəˌpɹaɪz/企業, 事業
biology 名詞/baɪˈɑ.lə.d͡ʒi/生物学
metre 名詞/ˈmiːtəɹ/メートル, ㍍
meanwhile 副詞/ˈmiːnwaɪl/その間に

動画に出てくる句動詞

単語意味
look forward to 動詞楽しみにする

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。

  • What becomes of our personal computer in a world of agents?
  • We're reinventing the personal computer.
  • It's also the closest to our heart.
  • I'm so proud of it.

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
「used to」 used to + 動詞 — 今はもう違う過去の習慣や状態used to have
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we've learned · has ever built · has ever created
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was not just disaggregated · was architected · be replaced

注意したい発音

話し手はI'm, we're, don'tなど、短縮形や弱形を15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。

  • 「sh」と「zh」の音: partnership /ˈpɑɹtnɚʃɪp/, extension /ɪkˈstɛnʃən/, associate /əˈsoʊʃi.ət/, shell /ʃɛl/, collaboration /kəˌlæbəˈɹeɪʃən/
  • 長い単語（アクセントの位置に注意）: incredibly /ɪŋˈkɹɛdɪbli/, architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, associate /əˈsoʊʃi.ət/, biology /baɪˈɑ.lə.d͡ʒi/, developer /dɪˈvɛləpɚ/

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: incredibly /ɪŋˈkɹɛdɪbli/, ultra /ˈʌltɹə/, collaboration /kəˌlæbəˈɹeɪʃən/, electronics /ɪˌlɛkˈtɹɑ.nɪks/, structural /ˈstɹʌk(t͡)ʃəɹəl/
  • /v/ — /b/ にならないように、上の歯を下唇に当てる: developer /dɪˈvɛləpɚ/, server /ˈsɝvɚ/, revolutionary /ˌɹɛvəˈluʃənɛɹi/, envelope /ˈɛnvə(ˌ)loʊp/, evolve /ɪˈvɑlv/
  • /f/ — 「フ」ではなく、上の歯と下唇で出す: comfort /ˈkʌm.fət/, physics /ˈfɪz.ɪks/, define /dɪˈfaɪn/, graphics /ˈɡɹæfɪks/, smartphone /ˈsmɑɹtfoʊn/

この動画での練習方法

  1. 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。
  2. 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。
  3. 自分の声を録音して元の音声と比べます。laptop, spark, connect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 →