跟讀練習: 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 - 通過影片學習英語口語
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199 句
如果句子過短或過長，請點選 Edit 進行調整。
1
15, 20 years ago, we used to have an idea called a phone.
十五、二十年前，我們有一種東西叫做「電話」。
2
Today, we have an idea called a PC.
今天，我們有一種稱為PC的概念。
3
Today, when you think about your phone, the one thing you don't do with it is make phone calls.
現在說到手機，你最不會用它來做的事，就是打電話。
4
My relationship with you started here.
我和你的關係是從這裡開始的。
5
And many of you, many of you, many of my friends and partners here in Taiwan, your companies started here.
而你們當中許多人，我在台灣這裡的許多朋友與合作夥伴，你們的公司都是從這裡創立的。
6
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.
96
Okay.
97
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.
168
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.
170
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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本課的詞彙與口語要點
這節口語課以影片“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”為素材。 影片中反覆出現的詞有：agent, computer, Rtx, spark, laptop。 這段影片共有 199 個句子、1898 個單詞可供跟讀。 講話部分時長為 15:33。 說話人語速平穩，每分鐘約 122 個詞，很適合跟讀。 82% 的單詞屬於英語最常用的 3,000 詞，其餘的詞建議在練習前先學一下。
影片中的重點詞彙
影片中 15 個值得學習的單詞，附發音和釋義：
| 單詞 | 發音 | 釋義 |
|---|---|---|
| laptop 名詞 | /ˈlæp.tɑp/ | 手提電腦 /手提電腦, 手提計算機 /手提計算機 |
| spark 名詞 | /ˈspɑɹk/ | 火花 |
| connect 動詞 | /kəˈnɛkt/ | 連線 /連線 |
| cloud 名詞 | /ˈklaʊ̯d/ | йүн, 雲 /雲 |
| chip 名詞 | /t͡ʃɪp/ | 籌碼 |
| desktop 名詞 | /ˈdɛsktɒp/ | 桌面 |
| theater 名詞 | /ˈθi(ə)tɚ/ | 劇場 /劇場, 劇院 /劇院 |
| partnership 名詞 | /ˈpɑɹtnɚʃɪp/ | 合夥關係 /合夥關係, 合作關係 /合作關係 |
| architecture 名詞 | /ˈɑː.kɪˌtɛk.t͡ʃə/ | 建築 /建築, 建築學 /建築學 |
| associate 名詞 | /əˈsoʊʃi.ət/ | 同行, 同事 |
| enterprise 名詞 | /ˈɛntəˌpɹaɪz/ | 企業 /企業 |
| biology 名詞 | /baɪˈɑ.lə.d͡ʒi/ | 生物學 /生物學 |
| metre 名詞 | /ˈmiːtəɹ/ | 米, 公尺 |
| meanwhile 副詞 | /ˈmiːnwaɪl/ | 同時 /同時 |
| pocket 名詞 | /ˈpɑ.kɪt/ | 口袋, 荷包 |
影片中出現的短語動詞
| 單詞 | 釋義 |
|---|---|
| come along 動詞 | 陪伴, 陪同 |
| look forward to 動詞 | 期待, 嚮往 |
值得反覆跟讀的句子
影片中簡短而完整的句子，可以直接用在日常對話裡：
- 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.
影片中的語法
說話人最常用的結構，並附上影片中的原話：
| 結構 | 影片中的用法 |
|---|---|
| “used to” used to + 動詞 — 過去的習慣或狀態，現在已不再如此 | used to have |
| 現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事 | we've learned · has ever built · has ever created |
| 被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的 | was not just disaggregated · was architected · be replaced |
需要注意的發音
說話人用了 15 次縮略和弱讀形式，例如 I'm, we're, don't。請按聽到的簡短形式來說。
- “sh” 和 “zh” 音: partnership /ˈpɑɹtnɚʃɪp/, extension /ɪkˈstɛnʃən/, associate /əˈsoʊʃi.ət/, shell /ʃɛl/, collaboration /kəˌlæbəˈɹeɪʃən/
- 長單詞——注意重音位置: incredibly /ɪŋˈkɹɛdɪbli/, architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, associate /əˈsoʊʃi.ət/, biology /baɪˈɑ.lə.d͡ʒi/, developer /dɪˈvɛləpɚ/
中文母語者容易讀錯的音：
- /v/ — 不要讀成 /w/，上齒輕觸下唇: developer /dɪˈvɛləpɚ/, server /ˈsɝvɚ/, revolutionary /ˌɹɛvəˈluʃənɛɹi/, envelope /ˈɛnvə(ˌ)loʊp/, evolve /ɪˈvɑlv/
- 詞尾子音 — 要讀清楚，後面不要加母音: laptop /ˈlæp.tɑp/, spark /ˈspɑɹk/, connect /kəˈnɛkt/, cloud /ˈklaʊ̯d/, chip /t͡ʃɪp/
- /r/ 和 /l/ 的區別: incredibly /ɪŋˈkɹɛdɪbli/, ultra /ˈʌltɹə/, collaboration /kəˌlæbəˈɹeɪʃən/, electronics /ɪˌlɛkˈtɹɑ.nɪks/, structural /ˈstɹʌk(t͡)ʃəɹəl/
如何用這段影片練習
- 先完整聽一遍影片，不要開口，記下不認識的單詞。
- 用正常速度逐句跟讀，每句重複到你的節奏與說話人一致為止。
- 錄下自己的聲音並與原聲對比，特別注意 laptop, spark, connect 這類單詞。
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。