跟读练习: Announcing NVIDIA RTX Spark | GTC Taipei 2026 Keynote by CEO Jensen Huang - 通过视频学习英语口语
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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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NVIDIA is 33 years old.
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the PC industry was already starting to get to Windows 1 and Windows 2 and 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.
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It was architected just right.
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Systems BIOSs, open chipsets, the operating system with drivers,
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Drivers, drivers that could be connected and installed at runtime.
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And an abstraction layer with a multimedia API that opened up the PC to what we all know today.
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Each one of these elements were essential in making the PC so popular.
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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 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, It's 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?
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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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Spark, 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 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 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 for agents.
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This is the dawn of a new personal computing revolution and it starts with NVIDIA RTX Spark.
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Here it is.
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Of course, I've 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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There are so many things.
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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 a digital biology no problem
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if you want to do seismic processing no problem you want
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astrophysics no problem everything associated with CUDA all the physics all
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the biology all the genomics all the AI no problem all
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the computer graphics no problem every single application NVIDIA has ever created and every single application that Windows has ever run
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One, 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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Okay, 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 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.
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Every house starts as an idea.
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Getting from idea to design takes a myriad of tools, 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.
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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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When I approve, the agent exports the model from Rhino into Blender.
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Materials and object properties transfer with the design context intact.
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I fine-tune the materials, get the look just right.
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Then I pick the shots.
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Blender renders the house.
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My agent, using generative AI with the Flux 2 model, makes them photoreal.
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Multiple viewpoints, lighting conditions.
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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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PC in 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.
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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 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 is 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.
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All 100% Windows compatible, 100% CUDA, 100% NVIDIA AI Tensor Core.
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Everything 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, look how beautiful this agent could run 24-7, 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 clock.
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It's running all the time.
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No meter anxiety and it's sitting here connected to your whole house,
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connected to your laptop, connected to your display, all the cameras, your dryer,
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your water cooler, your water heater, your everything, whatever you want, your security system, all connected to this and this becomes your personal AI,
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your personal AI agent.
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And it gets smarter and smarter and smarter over time because today we have Nemo Tron 3 Ultra.
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Tomorrow we have Nemo Tron 4 and then Nemo Tron 5, Nemo Tron 6.
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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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And if you want an incredible system,
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this is a DGX station for Windows.
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compatible with Windows, wants everything in Windows, and it has 768 gigabytes of memory.
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And so you could run a trillion parameter model.
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This is unbelievable.
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20 petaflops, eight terabytes per second of memory bandwidth, and this sits by your desk.
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You basically, if you're a developer of large language models, you're a developer of agents, having this sit by your desk gives you all the compute you need.
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And then when you deploy it, you put it into the cloud.
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Now, there's something that if you look at this and think about this, something is happening here.
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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
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is 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 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, you have game consoles in your house.
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You would have 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
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a pc to you there is no question this reinvention of
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the computer is as big of a deal as the reinvention
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of the phone into what we now know as the smartphone
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and so this is the beginning of
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that journey this is the beginning of a new line and
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so we have a roadmap for this this is a brand new product family for us 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, a new beginning.
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Thank you.
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Thank you.
为什么要通过这个视频练习口语？
通过观看并模仿这段视频中的演讲，您可以在真实的语境中练习口语。与讲者的语音语调同步，不仅能够增强您的语言感知能力，还能提升表达的自然度。练习时，您会体会到如何自然地流露情感，尤其是在重要的产品发布会上，演讲者的激情和对技术未来的展望令人振奋。从而帮助您在自己的言语中融入这些元素，提升您的shadow speak能力。
语法与表达的语境分析
- 被动语态的运用 - 演讲者多次使用被动语态，如“Windows被合理抽象化”，这强调了动作的接受方，适合在技术讨论中使用。
- 现在完成时 - 例如“40年后，微软和NVIDIA将重新定义PC”，体现了事件的持续性和与现在的相关性，对描述科技发展尤为重要。
- 条件句的使用 - 通过“如果您的PC有一个自主代理，它将如何工作”，提出假设，激发听众的思考，增强互动性。
- 直接引语 - 通过引用他人的观点增强可信度，如提到将与Satya的对话，增加可信度和期望感。
常见发音陷阱
视频中的某些技术术语可能会导致发音上的困难，例如：
- autonomous - 发音较长，注意重音的放置，可能会混淆。
- agent - 发音需要清晰，以便在互动中能够被理解。
- industry - 注意词尾发音容易模糊，需要练习以确保准确性。
通过不断练习这些发音，您可以培养成更流利的口语能力，达到更高的shadowspeak水平。在这个过程中，shadow speech的技巧也会帮助您快速提升表达的自信。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。