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Home » The Next Computer? Your Glasses: Shahram Izadi (Transcript)

The Next Computer? Your Glasses: Shahram Izadi (Transcript)

Here is the full transcript of computer scientist Shahram Izadi’s talk titled “The Next Computer? Your Glasses”, at TED2025 on April 8, 2025.  

Listen to the audio version here:

The Computing Revolution

SHAHRAM IZADI: For our entire lives, we’ve been living through a computing revolution. Many of you here in this room have contributed to it, with leaps forward in compute, connectivity, mobile technologies, and now AI. For my part, I’ve dedicated my entire career to augmented reality, fusing the real world with computing experiences.

I started this journey about 25 years ago for my PhD. It might sound groundbreaking, but check out these early prototypes. The technology was really primitive back then, but the potential felt limitless when we were experimenting in that university lab.

What I didn’t know at that time was many of the fundamental innovations for my work would come from AI researchers in a different lab. While I was helping computers see the world, these AI researchers were helping computers reason about the world.

Since then, large language models and multimodal reasoning have enabled richer language and image understanding. These models are now fast enough for live conversations, where the AI can act on your behalf and, most importantly, with your permission. And augmented reality and virtual reality has moved computing from the rectangular screen to the 360 immersive display, to now even the world itself becoming the display. We now refer to this broad collection of experiences as extended reality, or XR.

The Convergence of AI and XR

Until now, these innovations have occurred separately and in silos. Well here comes act two of the computing revolution. AI and XR are converging, unlocking radical new ways to interact with technology on your terms. Computers will become more lightweight and personal. They will share your vantage point, understand your real world context, and have a natural interface that’s both simple and conversational.

Countless people and companies are innovating in this space, including many on the head stage this week. We’re excited to contribute to this momentum with Android XR. It’s an operating system we’re building with Samsung that brings XR hardware, together with Gemini, our AI assistant, to augment human intelligence. It can support a broad range of devices, from headsets to glasses, to form factors we haven’t even dreamed of yet.

Introducing AR Glasses

Okay, let me show you where we’re heading by inviting my colleague, Nishtha, to the stage. Welcome, Nishtha.

NISHTHA: Hi.

SHAHRAM IZADI: These ordinary looking glasses are packed full of technology. A miniaturized camera and microphones give the AI the ability to see and hear the world. Speakers let you listen to the AI and play music, or even take calls. And these glasses also have a tiny high-resolution in-lens display that’s full color, that I’m holding in my hand. It’s very, very small.

These glasses work with your phone, streaming back and forth, allowing the glasses to be very lightweight and access all your phone apps. And if you’re wondering, I’m actually wearing the glasses too. They’re actually helping me see all of you in the audience, because they have prescription lenses inside them. But they’re also displaying my speaker notes for me as well.

So this demo, you’ll see what Nishtha’s seeing on the screen behind her. And this is the very first time we’re showing these glasses in public, so this is going to be a live demo of conceptual hardware, early software, what could go wrong. Nishtha, best of luck, no pressure.

NISHTHA: Amazing. All right, let’s just make sure that these glasses are shown on the screen behind us. Okay. Awesome. Now I’m going to launch Gemini.

GEMINI: Hello there.

NISHTHA: Hi, Gemini. Can you start us off with something fun and creative, and write a haiku for what I’m seeing right now?

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GEMINI: Sure. Faces all aglow.

Memory and Real-Time Processing

SHAHRAM IZADI: As you can see, the AI sees what Nishtha sees, hears what she hears, and is responding in real time. But that’s just table stakes. I think everyone in this audience has seen demos like this before. Let’s actually step it up a notch with something we call memory. For a rolling contextual window, the AI remembers what you see without having to be told what to keep track of.

NISHTHA: So you guys may have noticed, I snuck a peek back at the shelf a moment ago. I wasn’t paying attention, but let’s see if Gemini was. Hey, did you happen to catch the title of the white book that was on the shelf behind me?

GEMINI: The white book is Atomic Habits by James Clear.

NISHTHA: That is absolutely right. So let’s try something harder. I keep losing my hotel key card. Do you know where I last left the card?

GEMINI: The hotel key card is to the right of the music record.

NISHTHA: Right. For someone as forgetful as me, that’s a killer app.

Multimodal Capabilities

SHAHRAM IZADI: Okay, this AI is inherently multimodal, so it’s using visual data and natural language to digest complex queries in real time while remembering your past context. Nishtha, let’s see some more.

NISHTHA: Yeah, let’s bring this book back. So I don’t really have time to read it right now, but I wonder if Gemini might be able to help me summarize what’s going on. Like, I don’t know, what does this diagram mean? It looks complex.

GEMINI: This diagram is labeled the habit line and illustrates the process of habit formation. It shows how automaticity increases with repetitions until a habit is formed.

Translation and Multilingual Support

NISHTHA: Now imagine being able to communicate and understand any language. The AI can shift its output to speak different languages with dialects and accents that feel human and natural. Yeah, let’s go to this sign over here. Can you translate this to English for me?

GEMINI: The sign states, private property, no trespassing.

NISHTHA: Okay, let’s prove this is a live demo.