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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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Video gợi ý

Từ vựng và ghi chú luyện nói cho bài học này

Bài luyện nói này dựa trên video “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”. Những từ được nhắc lại nhiều nhất trong bài: agent, computer, Rtx, spark, laptop. Video này có 199 câu và 1898 từ để luyện shadowing. Phần lời nói dài 15:33. Người nói giữ tốc độ đều, khoảng 122 từ mỗi phút, vừa sức để nói đuổi theo. 82% số từ nằm trong 3.000 từ tiếng Anh thông dụng nhất; phần còn lại nên xem trước khi luyện.

Từ vựng quan trọng trong video

15 từ đáng học trong video, kèm phiên âm và nghĩa:

TừPhiên âmNghĩa
laptop danh từ/ˈlæp.tɑp/máy tính xách tay, láp-tóp
spark danh từ/ˈspɑɹk/tia lửa
connect động từ/kəˈnɛkt/nối
cloud danh từ/ˈklaʊ̯d/mây
chip danh từ/t͡ʃɪp/phỉnh
incredibly trạng từ/ɪŋˈkɹɛdɪbli/khó tin nổi
desktop danh từ/ˈdɛsktɒp/máy tính để bàn
theater danh từ/ˈθi(ə)tɚ/nhà hát, rạp hát
generate động từ/ˈd͡ʒɛn.ə.ɹeɪt/sinh ra, gây ra
partnership danh từ/ˈpɑɹtnɚʃɪp/công ty hợp danh
extension danh từ/ɪkˈstɛnʃən/sự mở rộng
architecture danh từ/ˈɑː.kɪˌtɛk.t͡ʃə/kiến trúc
enterprise danh từ/ˈɛntəˌpɹaɪz/xí nghiệp
biology danh từ/baɪˈɑ.lə.d͡ʒi/sinh học, sinh vật học
developer danh từ/dɪˈvɛləpɚ/nhà phát triển

Những câu đáng luyện lại

Các câu ngắn, trọn ý trong video mà bạn có thể dùng lại khi giao tiếp hằng ngày:

  • 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.

Ngữ pháp trong video

Những cấu trúc người nói dùng nhiều nhất, kèm đúng cụm từ trong video:

Cấu trúcTrong video
“Used to” used to + động từ — thói quen hoặc tình trạng trong quá khứ nay không cònused to have
Thì hiện tại hoàn thành have/has + quá khứ phân từ — việc đã xảy ra nhưng còn liên quan đến hiện tạiwe've learned · has ever built · has ever created
Câu bị động be + quá khứ phân từ — nhấn vào việc xảy ra, không phải người làmwas not just disaggregated · was architected · be replaced

Phát âm cần chú ý

Người nói dùng 15 dạng rút gọn, ví dụ I'm, we're, don't. Hãy nói theo dạng ngắn đúng như bạn nghe.

  • Âm “sh” và “zh”: partnership /ˈpɑɹtnɚʃɪp/, extension /ɪkˈstɛnʃən/, associate /əˈsoʊʃi.ət/, shell /ʃɛl/, collaboration /kəˌlæbəˈɹeɪʃən/
  • Từ dài — đặt trọng âm cho đúng: incredibly /ɪŋˈkɹɛdɪbli/, architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, associate /əˈsoʊʃi.ət/, biology /baɪˈɑ.lə.d͡ʒi/, developer /dɪˈvɛləpɚ/

Những âm người Việt thường gặp khó:

  • Cụm phụ âm cuối — đọc đủ từng âm, đừng nuốt âm cuối: spark /ˈspɑɹk/, connect /kəˈnɛkt/, prompt /pɹɑmpt/, select /sɪˈlɛkt/, assist /əˈsɪst/
  • Âm /tʃ/, /dʒ/ và /ʒ/ — tiếng Việt không có, đừng đọc thành “ch” hay “gi”: chip /t͡ʃɪp/, generate /ˈd͡ʒɛn.ə.ɹeɪt/, architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, biology /baɪˈɑ.lə.d͡ʒi/, imagination /ɪˌmæd͡ʒəˈneɪʃən/
  • Âm /æ/ — mở miệng rộng hơn âm “e”: laptop /ˈlæp.tɑp/, anxiety /æŋˈzaɪ.əti/, collaboration /kəˌlæbəˈɹeɪʃən/, imagination /ɪˌmæd͡ʒəˈneɪʃən/, graphics /ˈɡɹæfɪks/

Cách luyện với video này

  1. Nghe hết video một lần, chưa cần nói, và ghi lại những từ bạn chưa biết.
  2. Nói đuổi từng câu ở tốc độ bình thường, lặp lại mỗi câu đến khi nhịp của bạn khớp với người nói.
  3. Ghi âm giọng mình rồi so với bản gốc, chú ý các từ như laptop, spark, connect.

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.

Phương pháp shadowing: đọc hướng dẫn từng bước đầy đủ →