Luyện nói tiếng Anh bằng Shadowing qua video: Announcing NVIDIA RTX Spark | GTC Taipei 2026 Keynote by CEO Jensen Huang

Đang tạo bài học...
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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.

Tại sao nên luyện nói với video này?

Luyện nói tiếng Anh qua video là một phương pháp hiệu quả giúp bạn cải thiện khả năng giao tiếp và phát âm. Video của Jensen Huang tại GTC Taipei 2026 không chỉ mang đến thông tin về công nghệ mà còn tạo cơ hội tuyệt vời để bạn luyện phản xạ câu nói. Khi nghe và lặp lại câu nói, bạn không chỉ cải thiện kỹ năng nghe mà còn luyện nói tiếng anh tự tin hơn.

Hơn nữa, việc sử dụng kỹ thuật shadowspeak hay shadow speech sẽ giúp bạn nắm vững ngữ điệu, ngữ pháp và cụm từ được sử dụng trong ngữ cảnh thực tế mà diễn giả đã trình bày. Bằng cách này, bạn có thể trở nên quen thuộc với cách diễn đạt tự nhiên hơn.

Ngữ pháp & Biểu thức trong ngữ cảnh

  • Cấu trúc "was not just... but also...": Cấu trúc này giúp nhấn mạnh hai ý tưởng cùng tồn tại. Ví dụ: "Windows không chỉ được phân tách mà còn được trừu tượng hóa đúng cách." Đây là một mẫu câu hữu ích để bạn nhấn mạnh quan điểm của mình trong các cuộc hội thoại.
  • Cụm từ "could do a lot more that I'll show you": Cụm từ này thể hiện khả năng và sự hứa hẹn. Bạn có thể áp dụng cách diễn đạt này khi nói về những gì mình có thể làm hoặc giới thiệu về một điều gì đó thú vị cho người khác.
  • Câu hỏi "What’s going to happen to that PC?": Câu hỏi này không chỉ đơn giản là tìm kiếm thông tin mà còn kích thích sự tò mò và thúc đẩy cuộc trò chuyện. Bạn nên luyện cách đặt các câu hỏi mở để tạo ra thảo luận sâu sắc hơn.

Các cạm bẫy phát âm phổ biến

Khi luyện nói tiếng Anh qua video này, có một số từ và cụm từ mà bạn nên chú ý đến khả năng phát âm:

  • "autonomous agent": Đây là một cụm từ khá phức tạp, cần chú ý đến âm tiết và nhấn âm đúng.
  • "computing platform": Nên luyện phát âm chậm để nắm rõ cách phát âm của từ "computing".
  • "interconnected": Từ này thường gây nhầm lẫn trong phát âm, do đó bạn hãy thử luyện tập nhanh chậm khác nhau với shadow speak để cải thiện.

Khuyến khích bạn luyện nghe nói qua video và áp dụng các kỹ thuật shadowspeak để nâng cao khả năng giao tiếp. Hãy nhớ rằng, luyện tập đều đặn là chìa khóa để thành công!

Phương Pháp Shadowing Là Gì?

Shadowing là kỹ thuật học ngôn ngữ có cơ sở khoa học, ban đầu được phát triển cho chương trình đào tạo phiên dịch viên chuyên nghiệp và được phổ biến rộng rãi bởi nhà đa ngôn ngữ học Dr. Alexander Arguelles. Nguyên lý cốt lõi đơn giản nhưng cực kỳ hiệu quả: bạn nghe tiếng Anh của người bản xứ và lặp lại to ngay lập tức — như một "cái bóng" (shadow) đuổi theo người nói với độ trễ chỉ 1–2 giây. Khác với luyện ngữ pháp hay học từ vựng bị động, Shadowing buộc não bộ và cơ miệng phải đồng thời xử lý và tái tạo ngôn ngữ thực tế. Các nghiên cứu khoa học xác nhận phương pháp này cải thiện đáng kể phát âm, ngữ điệu, nhịp điệu, nối âm, kỹ năng nghe và độ lưu loát khi nói — đặc biệt hiệu quả cho người luyện IELTS Speaking và muốn giao tiếp tiếng Anh tự nhiên như người bản ngữ.