What Should An AI Device Look Like? — With Alex Himel

Alex Himel is Meta’s VP of Wearables. Himel joins Big Technology Podcast to discuss the future of AI wearables and why Meta believes glasses could become the next major computing platform. Tune in to hear how AI assistants might help with daily tasks, meetings, reminders, fitness, photos, and real-world context without pulling people out of the moment. We also cover the competition from OpenAI, Google, Apple, and Amazon; the privacy questions around facial recognition; on-device AI; and the story of how Mark Zuckerberg pushed Meta to turn Ray-Ban glasses into an AI product. Hit play for a sharp look at whether smart glasses are finally ready to break through, and what they could mean for the future of personal AI. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here’s 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Learn more about your ad choices. Visit megaphone.fm/adchoices

• 0:00Speaker 00

  What does the future AI device or devices look like? Let's talk about it with the head of wearables at Meta, right after this. This episode is brought to you by Genesis. What does it actually take to put agentic AI to work across an entire enterprise? I recently spoke with Genesis chairman and CEO Tony Bates about why orchestration is emerging as a competitive advantage in customer experience and what companies need to get right in the AI era. Then I sat down with Adam Mitchell, head of enterprise business solutions at Voya Financial, to go inside a large scale agentic CX transformation, including the business decisions, trade offs and lessons along the way. You can watch both conversations now on my YouTube channel today.

• 0:44Speaker 00

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• 1:11Speaker 00

  Welcome to Big Technology Podcast, a show for cool headed and nuanced conversation of the tech world and beyond. We have a great show for you today. We're going to talk about what the future of AI device or AI devices looks like with the person who's been running the effort at Meta, Alex Himel. Alex, welcome to the show.

• 1:29Speaker 01

  Hey, thanks for having me. Always great to meet someone else named Alex. Very excited to be here.

• 1:33Speaker 00

  Well, it's great to have you here. We're going to talk about the new models, especially the Ray-Ban Meta Optics, which I have in my hand here. And if you're on audio, we'll talk about the products that we're holding. These are slimmer models that are meant to be used indoors or can be used indoors in a way that the others haven't been. And it really opens up a whole new set of use cases for these AI wearables, which is what your line of glasses are. But to begin with, I just want to start broad because these glasses that have had the Meta assistance have been within them, have been in market for a long time. But I think folks are still trying, and I personally am trying to figure out

• 2:13Speaker 00

  what the use case is. I mean, it's obviously great for photos and you can listen to music on them. But this broader idea of an AI device is yet to really shape, take form in a lot of our minds. So can you just begin by painting a picture for me of in the future? Maybe it's a few months or a year, a couple of years down the line. How am I going to go about my daily life if this product works in a way that's different from the way that people are going about their daily lives today?

• 2:44Speaker 01

  I'll get there, but can I go backwards first? A little bit of how we got there?

• 2:48Speaker 00

  No backwards, we go forwards.

• 2:50Speaker 01

  We're only going forwards.

• 2:51Speaker 00

  Look, everybody wants to do a take a step back. We'll do that over the course, but I'd love to hear your perspective from the start here and then we can work our way backwards.

• 2:59Speaker 01

  All right, I'll go forwards first. The only reason I hesitated is that I think when a lot of companies and people have tried to get in this space and say, hey, what's going to be possible with this? I think they try to jump too far into the future and ignore kind of how to get there. So I won't go that way. Let's get there in a bit. I think what you're going to see is that if you've got a pair of glasses that is already comfortable to wear, is already providing value as sunglasses or as optical glasses, like we're launching with the ones I'm wearing and the ones you were just talking about, then you're going to get more help and assistance with going about what you're trying to do during the day from your glasses. They can see what you see, they can hear what you hear, you can talk to them. Right now, I use mine a ton to ask simple lookup questions, like if I'm

• 3:43Speaker 01

  driving and my six-year-old son is in the back just pegging me with questions, I can ask my glasses without having to take my eyes off the road and hands off the wheel. And you're going to see more use cases develop as the AI is getting better insanely rapidly. And so you'll be able to do things like instead of saying, what am I looking at? You'll be able to say, help me do this thing that I would normally have to look up a YouTube video to walk me through or look at a reel online. Or you'll be able to say, hey, summarize the conversation that you and I just had to give me kind of the highlights from it. And so it'll be this proactive assistance that you can get and it'll feel like you have an assistant that's always with you, not taking you out of the physical world, but just helping you do what you're already trying to do.

• 4:28Speaker 00

  Okay, but walk me through a day in the life of Alex Himel, wearing these glasses. And having the technology be where you want it to be. You wake up in the morning, you put the glasses on and talk a little bit about the things that you're gonna do. Like, give us like, tell us a story, basically, of like, how your life will be different wearing a pair of these.

• 4:50Speaker 01

  I'm waking up in the morning, the first thing I do is go for a run. So I'm putting on my Oakley Meta Vanguard sunglasses and wearing my Garmin watch. As I'm running, the glasses are automatically taking a few videos as I go, stitching them together is a reel for me. That feature is already live. As I'm running, I can ask my glasses for stats, for how far I've run, for updates on the training program that I'm doing. That's also live and getting better. When I get back, I'm starting to make lunch for the kids, to pack it for them to go to school. I notice I've run out of Ziploc bags and Nutella, and I ask my glasses to order those for me to replace them.

• 5:33Speaker 01

  They arrive a few hours later at my house. I'm driving the kids to school, they're asking me some questions about what they're doing after school, what time is their practice, who are they playing in their Little League game today? My glasses tell me the answer to that, so I don't need to look it up on my phone. I go to work, I'm in a series of meetings, notes are taken on my behalf by the AI with next steps, people who own action items. That's automatically sent out to the people who were present and were able to follow up on those. I'm in a conversation with you, I can't remember the name of someone that I think we both mutually knew from New York, where we're both from.

• 6:15Speaker 01

  My glasses help me remember what I was trying to remember in the moment.

• 6:22Speaker 01

  And it kind of goes from there, but you can see it's a companion, it's always with me, and it's taking the things I'm already doing and just making them a little bit easier for me.

• 6:30Speaker 00

  Okay, first of all, thank you, that was a very- Detailed, well detailed example of how this could change. And I think as we start thinking about the way that an AI assistant might end up helping us in life, like these examples really help. For instance, just to, obviously, sports has been something that we've seen wearables in for a long time now. So those of us who are like runners, we know what the wearable world is about. I know you have a Garmin, I'll just say, I've been wearing the Garmin too.

• 6:59Speaker 01

  It's good one.

• 6:59Speaker 00

  And the thing I hate is having to check the watch, like looking down at the watch while I'm running. Because it just like, it is an unnatural movement. And so if you could see that on the glasses, that's great. But let me, let me challenge you for a moment on whether glasses are the right form factor.

• 7:18Speaker 01

  Sure.

• 7:19Speaker 00

  So, you know, I'm going to think through some of the use cases that you're talking about. For instance, getting updates about the run. And if you're wearing the Oakleys, well, can't you do that on, on headphones? And then you're working on preparing lunch. Can't you do that on like a smart speaker, like Alexa? And then, you know, potentially you're in a meeting, maybe your headphones is taking that as the input. And I don't think a laptop is going away, so you will see that on the laptop. So, obviously, you know, we're here again, we're at Meta headquarters here in Menlo Park, California. We have a bunch of different models of glasses in front of us. They initially weren't conceived as an AI device. These were mostly for, you know, taking photos and, and videos and listening to music.

• 8:04Speaker 00

  And then AI came about later and we could, it's a kind of a fun story about how that happened.

• 8:08Speaker 01

  Totally.

• 8:08Speaker 00

  We can talk about that. But why glasses in particular? And why not the other form factors that other companies are talking about?

• 8:15Speaker 01

  All right, that's an invitation to take a step backwards, so.

• 8:18Speaker 00

  Now you can do it.

• 8:18Speaker 01

  Now I can do it.

• 8:19Speaker 00

  Not too far back.

• 8:20Speaker 01

  I won't, I won't go too back, I won't go too far back. But I think the, one of my favorite analogies is that an escalator never breaks, it becomes stairs. And so similarly, the glasses, even if they run out of battery.

• 8:34Speaker 01

  And they're, or they're just turned off. They're still something you would wear if you wear optical glasses or you wear sunglasses. They're still providing value to you. And I think the approach that we took with glasses, which is different from what I think some other companies have taken, where it was really about how do we leapfrog forward massively with technology? It's that, look, even if the glasses are doing nothing, they're Ray-Bans, which is the most, Ray-Ban Wayfarers, the most popular brand and style in the world of all time. So they're comfortable, they're good looking, we have a number of different colors and styles and SKUs, you can find something you like and looks good on you. And so even when they're doing nothing, they're providing value. So part of the bet there, and the part of the thesis is, this is something you'd wear anyway as you're going about your activity.

• 9:18Speaker 01

  You're right that I could go running with headphones, and if I'm, if it's early in the morning and it's dark out, I don't want to wear sunglasses. I want to wear either nothing or clear lenses. But the ugly meta Vanguard's here, they're not only sunglasses, which I do like to run, to wear when it's bright out, they're also headphones. So if I want to listen to music, they are playing music for me. And so they're providing a few different pieces of value, and then on top of that, I can use the AI. So that's part of the bet. And so some of the devices that you mentioned, I could put a smart speaker in my home, I could do other things, but that's an additional device on top of something I'd already be using. We don't think glasses are going to be the only form factor. I do think they're the most common form factor.

• 9:59Speaker 01

  When I think, how many people do I know, kids included, who do not wear sunglasses or optical glasses? I have to, I can think of one person, literally only one that I know.

• 10:09Speaker 00

  What's that person's deal?

• 10:13Speaker 01

  They're a unique human, I'm not going to go into it. I will say they wake up and stare into the sun for 20 minutes because they think it's good for their eyes in the mornings, so that they're, they're a unique person.

• 10:21Speaker 00

  We're not going to take their advice on that.

• 10:22Speaker 01

  Yeah.

• 10:22Speaker 00

  Folks, do not look directly into the sun. Okay.

• 10:26Speaker 01

  But most people do. Now, when you look past that, you know, we like to look at other form factors. When we say wearables, the way I like to think about this space is, I think humans have already evolved to what works well, what form factors are comfortable to wear. And so we think that you'll kind of see popularity in that order. What are things you're already wearing and using? Glasses, number one, but excited about other things that people are already wearing and not very excited about ones that you don't see people using frequently. Like, some of these devices that you clip on, or that you, if you don't see a lot of people doing that already with analog versions, I think it's unlikely that you're going to see an AI version take off.

• 11:05Speaker 00

  Okay, so it's the fact that it's a common device, it has utility outside of the AI, means that it won't be too much of an addition to put on your body to wear, and therefore it has the best chance of winning.

• 11:17Speaker 01

  Yeah, if it's providing value outside of the AI, then the AI is going to keep getting better and providing more value as it gets better.

• 11:24Speaker 00

  So, let's talk about that AI. Meta's in the process of developing personal superintelligence, as the company describes it.

• 11:33Speaker 01

  We are.

• 11:34Speaker 00

  And I imagine that personal, personal superintelligence will go into these glasses. So, I'd love to hear your perspective on what personal superintelligence is.

• 11:48Speaker 01

  We like to think of it as, how can the AI empower you to be the best version of you, really, that's the way we think about it in wearables. And so, we don't, we're not envisioning a world where the devices you're using, or the wearables you're wearing, are taking you out of the, the world that you're in. So, how can we, we talk about being present, yet connected. You want to be connected so you have tools that help you, but it's really about being present with the people you're with, the local businesses that you're in, the experience that you're in. One of the best examples is, you know, I go to my kids' performances at their school, and instead of holding my phone up to watch the thing they're doing through a video screen, I'm watching it through my glasses, and the glasses are recording it.

• 12:33Speaker 01

  So, it's allowing me to be more present in that moment, rather than having to be removed from it, just so I can have a video of it.

• 12:41Speaker 00

  Yeah, I had that experience, I was in Thailand, and there was this beautiful sunset. And I wanted to reach for my phone, but I remembered I had the glasses on, and I just filmed it there, and I have that memory. But I was there, just like living it and not looking at it through a screen, which was really nice.

• 12:59Speaker 01

  Yeah, and that's where we're going to. And I think that you can imagine stuff like that. You can imagine little ways that the AI can start to make it better. Auto capture is something that we're launching. It's the same thing, but the glasses can automatically detect that there's a moment worth capturing. You can imagine you're at a kid's birthday party and rather than constantly having to trigger photos or videos or a plot of advice, it can seize a smile, there's a birthday cake, it can capture those moments that you want to make sure you didn't miss.

• 13:30Speaker 00

  Really? But then the question is like, do you trust it really? Because that gives it the opportunity to capture images whenever you're doing anything. And there are times where even if I'm wearing those glasses, I don't necessarily want it to record.

• 13:44Speaker 01

  Yeah, so you explicitly enter a session where you say, start live capture.

• 13:52Speaker 00

  So it'll be, let's say you're at a party, then you'll say, you can capture it, and it will.

• 13:56Speaker 01

  At a birthday party, or sunset's coming up, or some moment where you think something's going to happen that I want to make sure I don't miss. I'm sure you've had some experiences where something will happen and you're like, oh my god, I cannot believe I didn't get my phone out or my glasses out to capture that.

• 14:11Speaker 00

  Yeah, that's pretty cool. So let's talk a little bit about the history here. I think for us, we're deep into the tech world, it sort of makes sense to be wearing an AI around. But there is an argument, looking at history, that there have been attempts to do it and it hasn't worked. Thinking about the Yumene pin, for instance, or the Google Glass. So what do you think is different about this time?

• 14:39Speaker 01

  I mean, I think the biggest thing is that, at the core, it's a good-looking, comfortable, stylish pair of glasses. I mean, it's the reason we're Partnering closely with SLR Exotica, they're a partner we've been working with for years. They're the makers of Ray-Ban, Oakley, they have many other brands, both owned and licensed. They have a number of stores, they are experts at lenses, experts at manufacturing. And working with them is because they deeply understand what it means to have a good-looking, stylish, comfortable pair of glasses that works well for people. And that is the core of what we're trying to do with the glasses. And so we've, we've launched, the Ray-Ban Wayfarer was the first, then we had other Ray-Ban styles.

• 15:21Speaker 01

  We've launched the Oakley Meta Vanguard's, which are sport, the Oakley Meta Houston's, which are lifestyle Oakleys. That's just the beginning of what we want to be, a really broad selection of brands and styles and SKUs. We want them, everyone's face is shaped differently, everyone has a different sense of style, and we need to make sure that they're comfortable and people like how they look at them.

• 15:43Speaker 00

  So, I definitely agree with you that the way that these things have looked has been a major impediment to them. Google Glass, for instance, didn't win any fashion awards. And you look at a pair of Ray-Ban Metas and, you know, they, they look nice. Like, I would like, look at them at a glasses store and be like, you know, maybe, maybe these. But the other part of it is function, right? Like, what can they do for you? And I think that the, the lift that they would give you was never enough, even if they were stylish, to merit charging up another device and putting it on. I mean, if you think about what it takes to, I mean, this is a company that knows consumer behavior so well. What it takes to change consumer behavior is crazy.

• 16:27Speaker 01

  Yeah.

• 16:28Speaker 00

  People sort of get set in their ways, and so, and that's the way that they operate. And if you think about them using phones, for instance, to, to be able to have AI functionality on your phone and then to move, to start using it somewhere else, it has to be more than it's just, it just looks a little bit good. So how do you think about creating, what effectively you're trying to do is create a brand new consumer behavior?

• 16:53Speaker 01

  Well, our top use case on the glasses is audio. It's talking on the phone or it's listening to music. The thing I usually tell people is, hey, if you're going to be walking outside, which you should do, it's healthy for you, it's good to move around during the day, get some sunlight, and you've got to make phone calls, this is a great product for you. We've got, it's comfortable, the audio is very loud. The mics perform better than any earbuds you could get because we've got five microphones and we have amazing noise suppression. And so if you're going to do phone calls, it's great. I was just skiing and I was going downhill at 40 miles an hour wearing my Oakley Meta Vanguard and got a call from my friend I was trying to meet up with. I had a conversation with him while I was on my way.

• 17:38Speaker 01

  And I asked him in the middle, can you tell that I'm skiing right now? And he actually didn't realize.

• 17:41Speaker 00

  Wow.

• 17:42Speaker 01

  So it's great for, like, it's great for those use cases. Or if you're on the beach throwing the football around, it's just, it's, listen to some music. It's a great way to make the experience better. Photos and videos are the other thing. We see a lot of content shared on Instagram that otherwise wouldn't have be captured, wouldn't not be captured. We saw some great footage from the Olympics that just happened with practice rounds. One of my good friends is a firefighter who sent me a video yesterday from the fire truck that he was driving to the scene and rescuing someone. I mean, you're just seeing some great footage that you otherwise would miss. And then the AI is where I think you're going to see the next real trajectory of growth as people find that they're able to do things they never thought were possible

• 18:26Speaker 01

  and are just really convenient with their glasses.

• 18:28Speaker 00

  And so it's interesting to hear you say, OK, use case number one is the speaker. Use case number two, photo video. Is the reason why AI is below that because, is it because the AI isn't good enough yet? What do you think is holding AI back? I mean, if you think about the power that people say AI has, you would imagine that it should be use case number one.

• 18:51Speaker 01

  The potential of AI is undoubtedly way higher than anything else right now. Just if you just look at the sheer rate of improvement in the industry, it is, it's mind boggling. I think for a lot of people, when, for a lot of people still, when they're looking at AI, it looks like a blank canvas on a wall. It's like, it's like if I handed you a piece of paper and a marker and said, all right, make me something great, kind of don't know what to start with. And so part of what we're doing, why we start with Auto Capture, and we'll have some other things launched shortly that are very relatable. It's just trying to give people easy to understand, easy to use, things with AI.

• 19:33Speaker 01

  And over time, you'll be able to do more and more complex and advanced tasks that really take advantage of the underlying capabilities. I think people are still learning how to best use AI. I mean, it started as, in general, it started as a tool to help you write things. And I think now you're seeing people are coding with it in new and crazy ways. You're starting to see agents and agentic behavior take off, where you can give the AI a goal, and it will go accomplish something for you while you're not actively prompting it. So I think we're seeing that progress happen quickly. And we believe that wearables will be the best form factor eventually for the AI, because they're always with you, they can see what you see, they can hear what you hear, and

• 20:17Speaker 01

  there's something you can talk to throughout the day when you need it. And they can be proactive, and they can do things that you didn't ask them to do, but that are helpful.

• 20:26Speaker 00

  And it's interesting. So we're talking about this new world that we seem to be heading in, where, into where AI is agentic and doing stuff for us. The older versions of the Ray-Bans, the Meta Ray-Bans, were mostly for outdoor use. I mean, I have a pair here, right? These are Oakleys, great for sports, great for sports. And actually, I'd spoke with, spoken with the, the person who ended up leading the Google Glass project, and one of his biggest regrets was actually starting it as an indoor product, because these things are much better, people feel much better about them if you're outdoors with them, as opposed to if you're indoors with them.

• 21:08Speaker 00

  But that brings us to this new pair, the Ray-Ban Meta Optics. They are smaller, they're lighter, the battery life runs longer.

• 21:17Speaker 00

  Clearly, they're much more indoor than they are for outdoor use. And that just sort of opens up the aperture of what you can end up doing with this. Again, going back to this idea of this AI assistant or this personal superintelligence that's with you all the time. So can you talk a little bit about the product decisions behind building a pair like this? And what will it enable when you start wearing it indoors, let's say, while you're at work?

• 21:43Speaker 01

  Yeah, we're very excited about the Ray-Ban Meta-Optics that we're launching right now. I mean, there are a number of reasons to start with sunglasses. One, which is kind of the, there's a practical one, a use case one. On the use cases, you know, I started with, hey, talking on the telephone, taking photos and videos. A lot of those are outdoor scenarios where you're out and about. You want your hands to be free, you're talking on the phone. Sunglasses work very well there. Also, as you're trying to, a lot of what we do is take electronics and squeeze them into really tight form factors. And sunglasses tend to be a bit bigger in style than optical frames do. You wear them for shorter periods of time, so they can be a little bit heavier.

• 22:25Speaker 01

  But also, they just, style-wise, they tend to be thicker than the optical frames that you wear all day. We've made a lot of advances in miniaturization and just optimizing where we place the electronics, that we now have a smaller, lighter frame, which is the optics that we're announcing here. But that's not it. We already see the, when we measure engagement and retention on our glasses, so how often do you use them? And then after some period of time, are you still using them actively? Those numbers are highest when we have clear lenses or transition lenses, which means that we're already seeing the behavior that people are trying to use them indoors or from outdoor to indoor. Transition means it works great, where I'm outside doing something, I'm on the phone, I walk inside.

• 23:10Speaker 01

  The lenses go clearer and I can keep doing what I'm doing. So the Ray-Ban optics, they're not just, so there's a lot of things to like about them. I'm wearing them here. You have, we're able to thin out the arms. The front frames are thinner. They're also a little bit flatter to be more optical friendly. The nose pads are replaceable. They come with three or four different pads that you can put in. So it's the right fit on your nose. The tips are adjustable, so an optician can warm these and then bend them to help make sure that they stay on your face well. The temples, you have overextension hinges so that they're more comfortable to put on and they squeeze against your head comfortably. So there's a lot of advances and this is just the hardware to make sure that it's

• 23:55Speaker 01

  very optical friendly. We're all, you know, we're, we just had an event. The S.O.L. Exotica has a Switch event in Orlando I was at a few weeks ago where we announced this to opticians. So we expect this to be in optical channels. If you, wherever you go to buy your optical glasses now, your optometrist should hopefully have these glasses that they're able to help get you the right lenses for your prescription and help work for you. So we're really going all in. We think that we're seeing all these trends in the data that people want the opportunity to wear them inside as their everyday optical glasses. And we hope this is a product that people like for that.

• 24:36Speaker 00

  And then so talk a little bit about the, I mean, we're kind of living in this open claw moment in a way where people are thinking about giving AI access to a lot of what they do to be able to take action for them. And I'm thinking, again, like if I'm at my work computer all day long and I have a pair of, you know, these optics on with my prescription, maybe there's going to be new use cases for me. So have you thought through those and how does that sort of fit into your vision of building AI wearables?

• 25:06Speaker 01

  I mean, I think there's a lot of, I mean, the, when you think about, so when you go from AI, the way we've experienced it, to agents, that leap is that instead of prompting the AI saying, "Write me something that does this," or "Write code that does this," you can give it a goal and it will figure out how to accomplish that. So you can say, "I'm trying to debug why, I'm a software engineer by background, so please bear with me," if I can say something like, "The behavior I get when the battery is low doesn't feel right. It currently says this when it's low on battery in my ear, and I would like to change it to this." And the agent can go and figure out where, you know, what piece

• 25:51Speaker 01

  of code that's defined in and how to adjust it and create a diff that you can then prepare to submit as an engineer. The advance to OpenClaw is you see, you see a few things. One is that you're able to, what engineers would call creating a cron job, but you're able to schedule things that happen regularly on your behalf. So, for example, every day at, in the middle of the night right now, I have, well, every Sunday right now, I have my Claw go and help create a schedule for the week that I then send to our nanny, which has, you know, the kids' schedule each day of the week, and it does that automatically.

• 26:33Speaker 01

  It's scheduled, which is a new thing. And the second is the Claw can figure things out that it doesn't yet know how to do. So it's able to reason through things and develop new skills that it didn't have previously. I think for wearables, that creates a bunch of possibilities. I mean, you think about, I go through my day and I'm constantly writing down things that I need to remember to do later. Like, you and I can have a conversation, we were just talking before this, about pizza that I'd like to try in New York that your buddy's opened. And normally, I'd write down, you know, pizza, Detroit pizza, New York, write down the name and plan a follow-up with you on it. I could just tell my Claw, here's what, here's the follow-up I plan to do, and it can take care of that for me.

• 27:18Speaker 01

  Similarly, I can give you a number of examples that are down that line, but I think that-

• 27:22Speaker 00

  Let's hear more, actually. I am interested in the examples.

• 27:27Speaker 01

  For example, you'd say, you know, this weekend's an exciting weekend for me. The Yankees are in town for opening weekend. I get playing against the Giants through their Wednesday through Saturday. I've got tickets for Saturday. I ordered that many months ago because I'm a Yankees fan, born and raised in New York. My kids, I'm working on them being Yankees fans as well. We've organized a big thing. I have 20 tickets, inviting friends. And normally you'd write down, remember to send an email with the ticket details to people who are coming. But you can just tell your claw, hey, draft an email for me to these four people. Just say their names, don't say their email, just to these four people with the ticket details that you can find in my email.

• 28:11Speaker 00

  And it just does it?

• 28:12Speaker 01

  And it should just be able to do that.

• 28:14Speaker 00

  And this is the way you use it?

• 28:16Speaker 01

  This is, you know, we've got, we're trying out a whole bunch of different tools. I certainly am. I'm using them and yeah, using that today.

• 28:23Speaker 00

  And so when your vision of with the glasses could be, instead of having to like, because I think the way that you speak with OpenClaw is through WhatsApp. Most people do it through WhatsApp.

• 28:35Speaker 01

  That's, yeah, you can use many different chat apps, but a lot of people use WhatsApp.

• 28:39Speaker 00

  So is your thought then, again, if, just I'm trying to flesh out the product vision here, if you have a pair of glasses like this with you while you're, while you're working, right? Which I guess is the case for you right now. You could just say something to it and then some agentic engine on the backend will be able to do these use cases for you.

• 29:00Speaker 01

  That's, yeah, I mean, that's a pretty good articulation of it. I mean, I think of it in two ways. One is, and it's in two directions. One is, as I'm going through my day and there's something I, you know, a lot of, it's funny how many people in tech decide that the thing that they need to invent at their next startup is like a task app to just help you, you know, track the things that you need to do. And I think instead, as things come up like, oh, shoot, I forgot to, you know, I forgot to send out the email with the details for the game, or I forgot to send out a birthday invite for, you know, my kid's birthday coming up. You can just say, hey, I forgot to do that. Draft it for me and I'll look at it tonight.

• 29:43Speaker 01

  At some point, you can say, send it on my behalf, but I think we're still kind of in a draft version. I think that's, that's one end of it. The second is, I like to describe it's, you know, imagine if you had The perfect person sitting right next to you who will whisper in your ear at the right time. So like, you know, my wife is very good at, you know, elbowing me. Like, if I'm about to say something that I'm going to regret, my wife is really good at letting me know that I'm about to do that.

• 30:14Speaker 00

  That's good. I'm too quick. I always just blurt it out. I feel bad for her.

• 30:18Speaker 01

  See, so, I mean, this is a scenario that might work for you.

• 30:20Speaker 00

  Yeah. Oh, maybe, okay. Your glasses can be like, don't, don't say that.

• 30:25Speaker 01

  It's like, you know, I'm about to, I'm about to say something I regret, or I just can't think of the work, you know, I cannot think of the movie, or the actor, or the restaurant, or the thing that I'm trying to think of. Or you have these, I've got another example, like, how often do you have a conversation with someone, like, oh, you're going to St. Louis? Let me tell you, I'll, I'll send you a thing later that has the places I'd recommend in St. Louis.

• 30:50Speaker 00

  I do that maybe 5% of the time. Like, I promised everybody to, I was gonna send you the name of the pizza place that I'm recommending. Nate's Detroit Pizza, Brooklyn and Manhattan. But I could have just said it to this smart thing, and then it would have sent it for me.

• 31:05Speaker 01

  And it could have sent, yeah, it could have sent, it could have sent me a WhatsApp, or a text message, or something that just, so then I had it, I wouldn't forget it. But, you know, if you, if you put it out there on your podcast, I think you'll, you'll still get a lot broader distribution than, than the agent.

• 31:20Speaker 00

  I hope so, but you never know. But that is interesting. I mean, like, again, with this idea of reminders, you know, I think it would be great, for instance, if I'm wearing something that is sort of paying attention to what I'm doing. And it can, you know, when I was with Boz, Andrew Boz, with the CTO of Meta, a year and a half ago, two years ago, maybe, at this point, one of the things he talked about was, these glasses can be aware of your situation. So it could potentially be something that is like an open claw functionality, but we'll wait until that conversation that I'm having is over, and I say bye, and then it can whisper in my ear, hey, by the way, like, do you want me to do that thing you were saying?

• 32:05Speaker 01

  Exactly. I think- I think a lot of us right now are feeling like we just get too many notifications as we're going through the day, whether it's your phone buzzing or your watch buzzing. And, you know, one of the things people are nervous about, for good reason, is that, hey, if you're wearing more wearables or ones that are, you know, even more intimate, meaning if you've got display glasses on, what you don't want is a one more place to put a bunch of notifications that distract you as you're going through the day. But the potential of the wearables is that if they have context of are you, whether or not I'm talking at the moment, or what am I saying, or who am I talking to, they

• 32:48Speaker 01

  should be able to really intelligently filter out whether it's the right moment to deliver something or the wrong moment to.

• 32:54Speaker 00

  Right. You know, it's interesting because we, I mean, we're already, my wife and I are already using like smart speakers in our house to do some of this. But yeah, I think it could be interesting if it's, if it is something that's done in glasses. And, you know, I think the one, especially contextually aware, and I think the one thing that I wonder is, you know, so much of the talk around AI is it's a level, it's going to level things up and it's, you know, sort of this revolutionary thing. And I wonder, is that that revolutionary? Like, shouldn't we be expecting more of it? And maybe I'm just like perpetually dissatisfied and unappreciative of what's happening, but I'm curious what you think. Like, is that really a revolution or is that something that just helps us be a little

• 33:39Speaker 00

  bit more productive?

• 33:40Speaker 01

  AI in general or smart notification, more intelligence around notifications?

• 33:44Speaker 00

  I think that just the AI, again, that we talked about, that's listening and can handle these tasks for us.

• 33:49Speaker 01

  I think it's going to be pretty revolutionary. I think, well, I think it'll be both. I think there'll be a number of things that each individual one is tiny. Like, it's just a, oh, yeah, that's like a small improvement. But if you add that up throughout the day, or throughout the week, or throughout the month, it's the sum of that will be meaningful. And then similarly, I do think that the AI will do things for you that you're shocked it was able to do and will find pretty revolutionary. I mean, there are small things. I mean, the- The minute I stopped running with my phone, and I go for some pretty long runs and I do need to be able to contact other people while I'm out there because things can go sideways. Also, I'm a father, and so if

• 34:34Speaker 00

  You should be reachable.

• 34:35Speaker 01

  I need to be reachable. The day I was able to stop bringing my phone with me because I had a cellular connected watch was a pretty big thing. I think for many people that feels like, oh, big deal. You can do phone calls on your, on your watch now. I usually have my phone. But for, for me, that was a major thing. But that's an example of like, small things that add up. I do think agentic AI is really going to be able to do a lot of things for people that will feel like it is super helpful.

• 35:04Speaker 00

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  Download the Quince app for app-exclusive offers, or go to quince.com/bigtech. Get free shipping on your order and 365-day returns. Now available in Canada and the UK, too. That's Q-U-I-N-C-E.com/bigtech. And we're back here on Big Technology Podcast with Alex Himmel. He's the VP of Wearables at Meta. Alex, before the break, we were talking about what will enable a company to win this AI wearable? You know, battle. Will it be the form factor? Will it be the sleekness of their device? Or will it be the assistant inside? And I think we're gonna have a handful of companies going after this. Obviously, you guys are far out in front of people. You've had this in market for a long time.

• 38:45Speaker 00

  But it's no secret that OpenAI is planning, you know, not just a device, but a family of devices. Google has their own set of devices. And Amazon has the Echo in market. And Apple may be adding some form of, maybe it's internal Apple models, maybe it's a version of Gemini into their headphones. That's just the doc. So, so I think there's a strong argument to be made that the company that has the best assistant will be the one that takes everything. Because, again, if you're trusting this with like, to be deep in your life and to be, and to be, you know, responsible for some of your activities, you're going to want to use the best option.

• 39:29Speaker 00

  So I'm curious if you agree with that. And if you do, does that mean that Meta, to win this battle, needs to have the best AI assistant on the market?

• 39:40Speaker 01

  I think it's gonna be a combination of things. I think that when we talk about wearables, I think if people don't like the device, they're not gonna wear it.

• 39:52Speaker 00

  True.

• 39:53Speaker 01

  I think it needs to be comfortable. It needs to be stylish, especially if it's glasses or even watches. If you don't like the way it fits on you and what it says about you, then you're not gonna wear it. Even if it, even if it's 20% better in terms of functionality than, than the alternative. I also think the software needs to be really amazing. And so, I mean, we're, it's also no secret. I mean, there's a lot of, a lot of, a lot of the devices you mentioned were, you know, these are rumors. I think I've heard, heard those rumors from many places. So there's probably some credibility to them.

• 40:28Speaker 00

  Well, I will say, actually, OpenAI for sure is not a rumor. They are building a family of devices. Google is building these devices.

• 40:35Speaker 01

  Google has announced publicly.

• 40:37Speaker 00

  Amazon has the Echo in market. I think the only one that's rumored is Apple.

• 40:41Speaker 01

  That's a fair point. The Apple ones, remember, a number of others have been some announcements. So that's fair. I was just commenting that they're not actually in the market yet.

• 40:48Speaker 00

  Right.

• 40:49Speaker 01

  So I can't really react to what exactly they're doing or pros and cons to devices. Also, pretty well known that we're investing heavily in AI here at Meta. We've recruited quite a team. We're investing heavily in model training and other things. And I think we've got, I think our AI and our software needs to be really good. I mean, we're going to be, assuming everyone enters the market, we're going to be competing with companies who have released devices with really high quality, good performance, devices you can depend on every day. So our quality needs to be really good. And then the AI needs to be amazing. And we've been working on it internally.

• 41:32Speaker 01

  I think that's pretty well known. We're using a bunch of the new models internally. I'm feeling pretty good about the progress we're making. And I think we're going to have some really exciting things to show people in the first half of this year as we start to launch new models and new features on top of them, new features on mobile phones, but also new features in wearables that I think are going to be pretty good.

• 41:56Speaker 00

  All right. Looking forward to that. I guess the point I'm making is, it seems more than, in this more than other types of computing, it's kind of winner takes all. That might be my perspective. Like, if you're going to have an agent that you so trust with everything, you're probably going to have one. Doesn't that sound right? Like, it's like you'll have one inbox. It doesn't really work to have multiple email addresses.

• 42:23Speaker 01

  I think there's a number of reasons why I think you'd use, why many people would use one assistant more than many. I mean, one is, you pay for each of them, and so you probably want to pay for fewer rather than more. Second, like, the more you work with it, it learns about you, the better it'll perform outside of underlying capabilities. So I do think that people will, for the most part, choose one assistant, but they may also choose one assistant for different tasks.

• 42:52Speaker 00

  Right.

• 42:52Speaker 01

  I mean, I'm sure I'm a bit of an outlier since I'm right in the middle of the technology, but I use a bunch of different assistants, and I use different ones for different things that I'm trying to do. That could be a point in time, based on what's... What's better at what right now and maybe that'll consolidate as the models mature. But we are very focused on, we want our glasses to be the ones that offer people the broadest selection of brands and styles that we think people will like to wear and in making our software the best. And we've been, I mean, there are other devices in the market, but we have been, we believe, there's going to be a lot more competition coming than I think that we've, than we've

• 43:37Speaker 01

  faced, than we faced to date. Part of it is that a lot of people have tried to build glasses and it didn't work out at first, ourselves included. Our first, our first launch didn't go as well as we had hoped it to. But then when others pulled back from the market, I think we doubled and tripled down. And I think, you know, when you're looking at, it seems like now every year, or maybe more frequently than that, we're launching new hardware.

• 44:01Speaker 00

  Right.

• 44:01Speaker 01

  It's because we've been investing heavily for many years and you're starting to see how the fruits of that come to market.

• 44:07Speaker 00

  I was in here, I think, 2017 or 2018 and myself and my editor, we had a long conversation with Mark Zuckerberg about some tech-related thing or a new launch at Facebook. And towards the end, it was almost like a throwaway, but he was talking about how important it was going to be to have a computing wearable, like a pair of glasses. And I was like, oh, that's a story. And we didn't end up writing it, but it just does go to show that Meta has been thinking about this for a very long time. And, and I guess what we're seeing today, the devices that work and are good and people enjoy using, is probably like an outgrowth of, of the Metaverse and the Oculus work

• 44:52Speaker 00

  here, but also not just like, let's try this. Like, to me, it seems like it's been kind of core for almost a decade here.

• 44:59Speaker 01

  That's definitely true. When we acquired Oculus, part of the logic was, it wasn't, you know, Oculus, it's a virtual reality headset where you're looking at an immersive view. At the time when we acquired Oculus, part of the rationale was there was a research division led by Michael Abrash that was looking at augmented reality technologies. Augmented reality translates into glasses and wearables. And right out of the gate, we started investing in the Orion prototype, which is what we showed about a year and a half ago now publicly and have continued to show. And that's been in the works for as long as Oculus has been here. And that was always part of the the big vision.

• 45:41Speaker 01

  Mark's had incredible conviction that this is something that was going to be critical and that we were going to invest in this space. Even when, you know, we certainly, a lot of invention we've been working on here. We certainly had some highs, we had some lows where, you know, a certain piece of technology didn't hit the progress that we were hoping to at various stages. Even through that, we really continued to invest, even when, you know, there were reasonable times to put doubt in it. I think we're glad, certainly glad that we did. But it really took a lot of conviction. I give a lot of credit to Mark, also to Boz for having a lot of conviction in what we were doing.

• 46:20Speaker 00

  So, speaking of Boz, I was listening to you on the Boz to the Future podcast. And you spoke about the ambition. And to me, it's pretty interesting because you talked about how, I think it was the Orion glasses, which have the screen in them, which are not publicly available yet. But there is a version with the screen available, the display, that is available to folks to pick up. But you said, like, when people tried on Orion, it was the first time that they felt like a pair of glasses could replace a phone. And so I am curious because, you know, with the big question about AI devices is, is it a new category and everyone has one? And the so-called legacy devices? Or is it a replacement?

• 47:05Speaker 00

  So is the ambition here to replace the phone?

• 47:09Speaker 01

  I mean, I think the ambition of the phone at some point was to replace laptops and desktops. And I think those certainly haven't gone away. I actually find myself using them more and more in the world of AI right now.

• 47:21Speaker 00

  Oh, yeah.

• 47:23Speaker 01

  But. Mobile phones have taken off. I mean, the number device is sold and used and I mean, they're ubiquitous for all kinds of things. I think wearables should be similar. I mean, we're expecting them to be ubiquitous. At some point, we think that they'll be ubiquitously used by people, providing a ton of value. That doesn't mean phones are going to go away, but I think you'll see wearables be used for some of the things that you do on phones today and a bunch of things that you don't use phones for today. I mean, there's certain, there's certain things you just wouldn't do because it's, you know, one of the crazy things is that some of the technology around being able to recognize what you're looking at has been around for quite some time on mobile phones, but you

• 48:07Speaker 01

  don't hold up your phone to try to make sense of the world in front of you because it's just kind of a weird behavior.

• 48:13Speaker 00

  Some people do, but it's not a normal thing to do.

• 48:15Speaker 01

  I might be one of those people at times, but I don't see it.

• 48:18Speaker 00

  I might be guilty as well.

• 48:19Speaker 01

  I don't see it very clearly. Whereas with a wearable, it's a pretty natural behavior. And it's one of the most frequent AI use cases that we see on our glasses. Just what is it that I'm looking at? Oh, it's this building. It's this landmark. It's this type of plant. Don't eat that mushroom.

• 48:32Speaker 00

  That's important. Or do eat that mushroom.

• 48:37Speaker 01

  Also, you shouldn't be randomly eating a mushroom that's in front of you, but we're, you know, we're trying to give advice where we can. So I think that, and I think the reaction that people had with Orion was because, you know, you did the demo. We show you a bunch of example things that you can do with the glasses. And I think with the really big field of view display and the ability to place content in the space in front of you, it's easy to imagine all the other things that you can do with it. I mean, we didn't show in there, maybe this is a bad example. I'll use it anyway because of the time we're in in the year. We didn't show that you could watch March Madness basketball games on a virtual television while still in a room with other people. That was an awesome use case last week as the-

• 49:16Speaker 00

  You did that.

• 49:17Speaker 01

  It's pretty great. You put a browser window and you just kind of put it, like if you're around me, I can put it right there and watch the tournament games. Also, the wrestling tour, the NCAA wrestling tournament was at the same time and my alma mater, Stanford, did great in that too. So that's another thing you watch.

• 49:33Speaker 00

  What is your facial recognition plans? There was a New York Times article talked about this feature called NameTag. The Times said it would let, whereas of the smart glasses, identify people and get information about them via Meta's artificial intelligence assistant.

• 49:50Speaker 01

  I saw the article. I'm familiar with the one that you're mentioning. I mean, it's worth noting, just out of the gate, you know, we do not have a feature that's launched that helps you write. We don't have a feature called that or that does that feature that's launched in the glasses. It is one of the most frequently requested features from people. I mean, we hear, you know, we hear from our, um, our blind and low vision community that they wish they knew who was in front of them, um, who was walking by. We hear from, um, people who go to conferences and events. It would be great to be, you know, you're going there to meet people. It would be nice to be able to recognize the people that you're meeting.

• 50:31Speaker 01

  We hear from just a number of people, you know, just anecdotally, hey, I wish, unprovoked, what I really wish these could do is help me remember the names of the people I've met before. And so we get a lot of, um, we get a lot of asks. I don't think we're the only company that's heard that before. You know, it's certainly been developed and prototyped, um, by a number of companies that, that we've heard about. But to launch a feature like that requires being really thoughtful with how it works, making sure it's privacy first, making sure that it's not creepy, making sure that, um, it's providing value while not making people uncomfortable. I mean, the fundamental talent of these devices, if I'm wearing them and you're uncomfortable

• 51:15Speaker 01

  with me wearing them, I'm probably going to stop wearing them. Yeah, they're not worth anything. Yeah. And so we've got to be really conscious of that. And with each feature that we're looking at, that's something that we're going to have to be conscious of, um, as we go. So this is one of the things that has come up. It's one of the trickier, uh, trickier things for privacy reasons, user comfort reasons. There's also some legal considerations. So it's certainly not something we take lightly and it's something that we, um, we'll need to think about. There are versions of that, of the, of that feature out in the wild right now. You see it a lot for, um, communities that, the blind and low vision community especially, you see versions of that. I think Microsoft has an app that you can use for that. But-

• 51:59Speaker 01

  I don't know, we don't have something ready to launch. We don't have something launched. It's just one of the things that we're thinking about.

• 52:05Speaker 00

  Well, first of all, I'll say this. You know, I think a year and a half ago, I was at Nolan Arbo's house in Yuma, Arizona. He's the first Neuralink patient. And he's paralyzed and can use computers thanks to Neuralink. So I think that's one of the more underappreciated parts of wearables or even brain-computer interface is that the accessibility component is amazing. He's been paralyzed, was paralyzed for eight years before he was able to use that device. And then, like, literally couldn't use the internet. Could only do it with voice, unlike an echo. And then, you know, started playing video games again. He played a video game against me and he beat me. And that's amazing. But I definitely, I definitely sort of, the privacy concerns, and obviously you're

• 52:50Speaker 00

  aware of them. I see why people would not want to live in a world where somebody can wear a device that can identify me.

• 53:00Speaker 01

  Yeah, I totally understand. And I think if you end up in a place where, you know, someone you've never met before walks up to you on the street and says, "Hi, Alex," you know, and asks you a question, it's weird. It's really weird. And that, you know, that goes against a whole bunch of social norms and it feels creepy. I think a lot of the features, all the features we're trying to build are taking things that are normal interactions and trying to make them a little bit easier. So the idea of a name tag is like, what is a time where you wouldn't wear a name tag and you could have a virtual version?

• 53:41Speaker 01

  If I were at the office right now, it would not be weird at all for a coworker to know my name because I walk around with a badge that has my name on it the whole time. And so a digital version of that would not be weird at all. Like, it's common behavior. Similarly, like, where knowing someone's name is most useful is, I've met you, you've told me your name, and I just cannot remember it. It could be, it's a new meeting I'm in, we're meeting for the first time, we just went around the table with 10 people, and I got nine out of 10 in my head and I'm missing the 10th. Or, you know, you're...

• 54:20Speaker 01

  We have kids in the same class and we've met once, two months ago. And I just, I know your kid's name and I cannot remember yours.

• 54:27Speaker 00

  If only there was an app that would allow me to maybe add you as a friend and we could connect that way.

• 54:36Speaker 01

  The, I, you know, it's, this is, this is the time the AI should help. I can think of some apps like that, but I can't remember the names of them. You might have to help me out.

• 54:43Speaker 00

  It's not Meta.

• 54:46Speaker 00

  Okay, that's interesting. So, so just to conclude this, this part, you said not launched, but that doesn't mean it's not under development.

• 54:54Speaker 01

  It's one of the ideas that I think comes up with every company in the space.

• 54:59Speaker 00

  Right.

• 54:59Speaker 01

  It's, it's, it's definitely not launched. It's something that's come up a bunch. We would not rule out the idea that we have something in that space, but it would have to be really well thought out and, and really well done and done in a way that people felt comfortable with it. Otherwise, we wouldn't, it just wouldn't make any sense.

• 55:17Speaker 00

  So we can basically rule out this idea that I would like be able to, you know, take a look at random people on the street and know their name by looking them, by looking at them through the glasses.

• 55:27Speaker 01

  Yeah, I just don't think that's a feature that people want or really comfortable with.

• 55:31Speaker 00

  Okay, all right. It's good to get your perspective on that. Let's talk a little bit about how this kind of changes the AI infrastructure story. You know, it's kind of interesting because we're going to a place where we have smaller models and some of them, don't have to run them in, you know, a multi-billion dollar data center build out. You can just run them on device. So, you know, Meta is an interesting company because it's in the middle of doing that big build out, but it also has devices that I would imagine someday would want to run an AI model on device. Can you talk a little bit about that balance and sort of, does one eventually cancel each other out or do you need both?

• 56:11Speaker 01

  Well, the, so the servers and data centers that companies are building out, Meta included, and there's two kind of core functions that those serve. One is the training of the models. And so that certainly happens in data centers, and that's where it's going to continue to happen. And that's where a lot of the investment is going right now. And the other, as you say, it's running the inference. So it's when you're using the model, where are those models running to answer the prompts or to agentially help you with tasks. The former, I think, the model training, I think, is going to consistently run in data centers. On where inference is served, there's a number of reasons to try to move that to devices that are not in data

• 56:54Speaker 01

  centers. One is the latency and reliability will be better. You've used apps on your phone, and the more things are local, the less network interruptions, or low bandwidth, or packet loss can cause issues. And so that's one reason to do it. Second is cost to the user. And you're paying the fees to whatever assistant you're using right now. A lot of those fees are because it costs real money to be serving you.

• 57:25Speaker 00

  And you have usage caps. You wouldn't have that if you used that model on a device.

• 57:29Speaker 01

  Yeah. And a lot of that cost goes into power right now. And if it's on your device, you're on the hook for charging your device and whatever power it runs. And so I think you're going to see, like, there's certainly a lot of reasons. Oh, and privacy is the other obvious one. You're in control of your data if it stays on your device. The things working in the opposite direction are smaller models are not as capable at certain tasks. And so the real math and evaluation to do there is, for a given set of tasks, how well does the model perform in a smaller version of it that's run locally? And if it performs

• 58:09Speaker 01

  well, I think there's a lot of incentive to have it run locally for everyone, for the person using it, for the end user, also for the business like us providing it. But I think you'll end up with a bit of a mix. The more complex things are going to have to run on servers or on personal devices that are larger and more capable.

• 58:31Speaker 00

  I think I want to end on The story of how this integration of AI into the Ray-Ban Metas came about, because initially, they were not envisioned with the AI assistant inside. And then you're driving with your kids one day, and what happens?

• 58:53Speaker 01

  Well, so we had the Ray-Ban Meta Glasses. They were the second device that we were launching, the second version of Ray-Bans that we were launching with SLA Exotica. And it was one of the most heavily debated devices that we were working on. Because it wasn't a major, the first version hadn't done as well as we had hoped. It wasn't a major technical leap from the first one. And so we're like, I don't know, is it worth doing? Or should we just go straight to the display glasses?

• 59:21Speaker 00

  Which were under development at the time.

• 59:22Speaker 01

  Which were already multiple versions of them, were already under development at the time. And then AI, Gen AI, large language models took off. I don't know. I do remember, it was a Saturday, I had my kid in a child seat in the backseat, and I start getting a wall of texts from Mark on WhatsApp, which led with, hey, I think these glasses might be a great AI device. And then, poof, just like thought after thought. So, you know, as any responsible parent would do, I pull over to the side of the freeway and went back and forth with him. And by, that was a Saturday, by Monday, we pivoted 200 people on the team to be building AI for these glasses. And the rest is history.

• 1:00:02Speaker 01

  Although, I think the AI gave us an idea for a vision of what the glasses could eventually be with a really high ceiling. Ironically, all the features that we weren't sure if they were a big enough technical leap turned out to be a big enough technical leap. And I think it would have given us a lot of the initial usage traction. The audio. Is cross the threshold where it's loud enough and the sound quality is good enough to be talking on the phone and listening to music and the image quality is good enough to be sharing videos to Instagram or, you know, the app of your choosing that you're that you feel good about and that people like to engage with.

• 1:00:40Speaker 00

  Just can imagine the kids in the back getting kind of restless and you being like, listen, daddy's launching a new category of device. We're gonna have to relax.

• 1:00:48Speaker 01

  Yeah, and fast forward two years and

• 1:00:50Speaker 00

  Here it is.

• 1:00:51Speaker 01

  The number one question in my house is when there's gonna be a kid's version of the glasses.

• 1:00:54Speaker 00

  Really?

• 1:00:55Speaker 01

  Because they really want to have a pair of their dad's glasses that they can wear around.

• 1:00:58Speaker 00

  Okay, before we leave, let's just run down the glasses that exist today.

• 1:01:01Speaker 01

  Sure.

• 1:01:01Speaker 00

  So there's the standard Ray-Ban Metas. Then you have the Oakley.

• 1:01:07Speaker 01

  Oakley Meta Houston Lifestyle.

• 1:01:09Speaker 00

  There is, I believe on your side here is the Display Glasses. That's the pair of glasses with a screen inside of them that are available for sale. How much do those cost?

• 1:01:20Speaker 01

  These are $7.99.

• 1:01:21Speaker 00

  Okay, that's actually less expensive than I thought. And there's a band that you can use that takes your neural pulses to be able to control the screen. And then there are these Ray-Ban Meta Optics, which are lighter, and they're coming out April 16th?

• 1:01:38Speaker 01

  We're announcing them at the end of March. They hit shelves in the early to mid-April.

• 1:01:45Speaker 00

  Okay.

• 1:01:46Speaker 01

  And you missed the Oakley Meta Vanguard's, our sport glasses.

• 1:01:49Speaker 00

  That's right.

• 1:01:50Speaker 01

  Great for biking, skiing, running.

• 1:01:53Speaker 00

  Yeah, now, the running use case is definitely fun. And I think maybe we'll save my back from... I was actually running and checking my phone and ended up pulling my back on a run because I kept looking at my pace so often. So if I could have that in a screen, that alone would be worth, would be worth all your efforts, so.

• 1:02:10Speaker 01

  Kind of got you a cellular watch, too. You gotta stop holding your phone.

• 1:02:13Speaker 00

  That's right. All right, Alex, great to see you. Thanks so much for coming on the show.

• 1:02:16Speaker 01

  Thanks, Alex.

• 1:02:17Speaker 00

  Thank you, everybody, for listening and watching, and we'll see you next time on Big Technology Podcast.

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