Ring's Jamie Siminoff thinks AI can reduce crime

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Today I'm talking to Jamie Simnoff, the founder of Ring, the video doorbell and security company. Jamie actually won't let me call him the CEO. He says his title is and always has been chief inventor. So obviously we talked about that a little bit. Jamie's just published a book about his experiences launching and leading Ring. It has a great title. It's called Ding Dong, How Ring Went from Shark Tank Reject to Everyone's Front Door. And I have to admit, that is a great title for a doorbell company.

The last time I interviewed Jamie was all the way back in 2018, right after he'd sold Ring to Amazon, and when we were piloting Decoder on the Vergecast with some sneaky backdoor interviews. Since then, Jamie left Ring and Amazon, started and sold another company, and he's only recently returned to Amazon to lead Ring once again. In that time, we also started Decoder, so it felt like the perfect opportunity to talk to Jamie about why he left, why he came back, and what's next for Ring. Jamie's mission with Ring has always been to make the world safer, and he has an expansive view of what that means. Seriously, you're going to hear him mention Ring's new AI-powered search party feature that helps to find lost dogs a lot during this conversation. But his goals and his vision for safety are enormous. He recently told Verge reporter Jennifer Tui in an interview last month that he thought Ring could quote almost zero out crime in the average neighborhood within the next year. That's a big promise right on the face of it. It's also potentially a very troubling one as we face more and more erosion of privacy and a surveillance panopticon that seems to only ever expand.

Sure, Ring is a private company, as are many others, but public entities like police, immigration enforcement, and other agencies use private companies' data all the time, in all kinds of ways. They can just go buy it like anyone else, or sometimes they get it for free if they ask correctly. Ring's various partnerships with police departments were pretty controversial when they first spun up, especially against the background of the Black Lives Matter protest movement in 2020. Amazon stepped back a little bit from working directly with the police after Jamie left the company, but now that he's back, Ring is once again very gung-ho about police partnerships. But here in 2025, the combination of surveillance and public safety is more controversial than ever. There are federal authorities snatching people off the streets in many cities simply because they look like they could be immigrants and building giant biometric databases of everyone's faces. This is scary stuff. There's also the question of what safety really means. You'll hear me push Jamie on this throughout this conversation as he lays out his vision of an ideal neighborhood. His model is one of constant pervasive security forces, which is not really mine, and we went back and forth on this a few times. Of course, we also talked about Ring's technology itself, and I definitely asked Jamie when Ring would support new smart home standards like Matter and Thread. There's a lot in this one, and Jamie was game for all of it. Okay, Jamie Savinoff, founder and chief inventor of Ring. Here we go.

Jamie Sinnoff, you are the founder, the once CEO, and now you're back at Amazon, and you are the chief inventor of Ring. You're also the author of a new book called Ding Dong, which is a great title, How Ring Went from Shark Tank Reject to Everence Front Door. Welcome to Decoder. Thanks for having me. I'm excited to talk to you. I've interviewed you before when we were secretly piloting Decoder on the Vergecast feed in 2018. You and I did a great interview. That was right after you'd sold the company Amazon. Since then, you left Amazon. You've come back as chief inventor of Ring. That's a big deal. There's a lot there that I want to unpack. But let's just start with the basics. Why'd you go? Why'd you come back?

I actually did stay for five years. So it was like a fairly long time. I didn't just sell and leave. I built it literally from my garage to when I sold it to Amazon, we'd gone from like 3 million, 30 million, 170, 480. So I mean, it was crazy. Then we got to Amazon and we almost 10X the revenue there, got it profitable. So like we, I just was flat out for so many years that I did finally get to a point where I just, I could feel myself not being the best.

leader of the overall business. Like I could just kind of feel that, like just the, I just was burning out. And so in 2022, 2023, I talked to leadership at Amazon and they were, they were like, awesome. They were like, do something else here, do this. And I was like, I think guys, I just need to like step back and reset. And of course, as soon as I did that and got out, I was, I realized that I only like doing one thing, which is ring. Um, I love ring. I love the mission we have. I love like what we do.

And, you know, fortunately it worked out that I was able to come back. And so I was able to take like a little bit over a year off, like almost two years off, do some other stuff that I realized I just, it was cool, but I just didn't get the same satisfaction. I didn't, when I wake up in the morning as the chief inventor of Ring, like I pop out of bed, like I'm ready to go. Like I want to get to the office. Like I'm actually like, I just want to get here and do stuff. And it's, and that's true. And so it's been fun. I want to dig into all that. The book is about that grind, right? Starting the company, going on Shark Tank. There's a great section about how you felt about Mark Cuban and whether he thought he was going to invest and he didn't. That's an interesting story.

There's a lot of bumps on that road, right? There was a lawsuit from ADT that you thought was going to go to the company. There's a great scene where you've accidentally written the number of weeks of payroll you had left on the whiteboard and your team saw it and got freaked out. That grind is a lot, right? But Ring is a very different company now. It's the market leader. It's a brand. It's up there in the Hall of Fame of tech brands. It means things to a lot of people. What's your perspective on that now? To go from you had this idea to now everyone's expectations of what Ring are are kind of outside of your control.

I mean, to unpack it, I think it is part of why I left was like it got so, I'd say in a way, overwhelming. Like it was kind of crazy. I mean, I literally did start this in my garage. Like I had an idea. I started in my garage. It's like the true, like American dream, got on Shark Tank. And then I say, you know, you're like at Amazon and you're, this thing's still building and it becomes a verb and it's the thing. And so I didn't understand how impactful it truly was until I left. That's from, you know, when you're in the business, you're trying to figure something out. You're trying to fix something. You're talking to, you know, call our customers neighbors. You're talking to a neighbor about a problem you have. And so.

you don't feel the sort of impact of it. And as soon as I stepped out of it fully where I didn't have any of those other signals, I did have this just sort of holy cow moment of, wow, like this is really something. Like the impact is truly there in every single level. And so going back, I came back with, I'd say, a newfound respect for that, a newfound understanding of that. And also I think like a very clear mission for myself of what to do here, not just the mission of the company, but even for myself of what I can do to have a greater impact at Ring for our neighbors.

I want to dig into that because the notion that we should have cameras everywhere and that will connect directly to safety, which is what you have been talking about the whole time. I went back and looked at our interview in 2018. You were talking about that back then as well. But that has always been your thesis, right? If we can put enough of these products everywhere, we can dramatically increase safety. I know you just spoke with our reporter, Gentui, and you said we can bring crime down to zero if we get it right with AI. There's a lot there. But the reason I want to start with why go and come back and connect it to what do you think Ring is now, Amazon itself has changed dramatically in just the short time that you left, right? You left.

Andy Jassy was just the new CEO. Dave Limp was still the head of products and services. Dave left. He went to join Blue Origin, Jeff Bezos' space company. Panos Binet, who I know very well, he is the new head of devices and services. He's got a big vision for how to bring that ecosystem together, make it tighter.

Is Amazon differently situated for you now to achieve your goals? Was that part of it? Ring changed every year for me. So like, you know, when you go from a $3 million company to a $30 million to a one. So I think I'm very comfortable in that every year something is different. That it's like, it's like coming back would be different. So, but certainly, yeah, there's been a ton of changes at Amazon. I think they've been, you know, if you look on, I think any metric, they've been positive. I mean, Dave Limp is still a great friend of mine. We like, I traveled with him. My son became very close friends with his son. So it's like, you know, there's, he's still kind of like within the family. And so I still stay in touch with him. Panos has been very.

awesome to work with. And we've had a lot of fun and we've been building stuff. We already launched some stuff at our launch event in the fall. So like these Alexa plus greetings and some of these familiar faces and stuff. So we're, I do think the idea of bringing the brands together, it's very smart. Like let's leverage what we have as Amazon together, especially with AI and see how we can get the most out of it for everyone. Take me inside the process here. You leave, then in short order, Dave leaves, Panos shows up. You know, it's like 18 months later where we're hearing rumors are coming back and then you come back. Did Panos call you and say, hey, you got to come back and run this thing? Did you show up and say, hey, you got a new vision? I'm here for it.

Yeah, it wasn't as Hollywood as you'd hoped for, maybe. But, you know, it was, we started kind of just chatting a little bit. I was giving some ideas of what I would, the reality is I left before AI, I'll say. Like, you know, there was sure there's neural networks and there was computer vision, but there was really, what we see in AI today was not there when I was, you know, kind of burning myself out in 22 and 23. It was, there's pieces of it, but not anything like we have today. And so I started seeing things like our search party for dogs. I was thinking like, how could we not as Ring be looking for...

pets that are lost in neighborhoods using AI. This is amazing. We could do this now. So I started to sort of talk to them about some of these ideas. I think they liked the ideas. And then, you know, things kind of came together where it made sense. And I told them, I said, like, I think I made a mistake to leave. Or I should say I made a mistake.

I left for the right reason of being burnt out. I think I realized that I wish I'd done more of like a sabbatical, which who knows if that would even work, but that I do love Ring and I want to be sort of here to, you know, especially take it through this next generation of AI and what we can do for the impact to neighbors with Ring and really sort of fully see out my vision of what we started with in the garage, you know, so long ago. That vision really implies there are going to be a lot of cameras, right? Like Amazon obviously has that scale. You know, I'm curious, like as you look at Ring now, again, it's a verb, it's a household name. You could do more if you had even more cameras, right? If you could connect other competitor cameras to Ring.

It's been rumored by me that there's over 100 million cameras that we have out in the field. But you could make that number a lot bigger. I'm just wondering if you think the centerpiece of the ecosystem is your cameras or if it's the network. The centerpiece of Ring is the mission to make neighborhoods safer. I really think you have to go back to that. And so far, I do believe by selling our own first-party cameras, it's been very good. We're able to tie into them in a way that makes it easy. If it became that to make neighborhoods safer, tying into third-party cameras was the right way to go and that's faster, sure.

I think, you know, definitely doing partnerships, how we could do that. I really do believe whatever we can do to get there faster. That said, I do think there has been value, and other companies have seen this, of having vertically integrated software to hardware. Like, that does help. And a lot of times when it's not like that, it creates a lot of issues with customers and sort of experience. I asked that because I was reading your book, and there's a paragraph in here that just made me start laughing. I'm just going to read the paragraph. There was risk in agreeing not to be bought by Amazon. They could swoop in and buy one of our competitors, like Blink, based in Boston, smaller than us, but growing fast and impressively creative.

Amazon did buy Blink. And the last time I spoke to you in 2018, I said, when are you going to integrate Ring and Blink? Like, I have Ring cameras. I have Blink cameras. It's crazy to me that these are not the same platform. And you're like, we'll work on it. And then I interviewed Dave Limp and asked him the same question. He's like, we're working on it. And I interviewed Panos recently and asked him the same question. And we're working on it. And it's not even third-party cameras. It's inside Amazon's own ecosystem. There isn't these integrations to make the network. So I mean, like one integration. I mean, so I think having Blink, Blink has been a great brand that, you know, just like you have Blink.

it delivers a different experience for customers. I think that's good. I don't think it's bad to have different experiences for customers that not everything has to be integrated. I think that's actually like fine. That said, we're working on it. I gotta give you that. But no, but like search party for dogs, this thing that we're doing, like we're, you know, we're making sure that that works with Blink cameras. So I think there are ways to start to tie more of those pieces to like, again, to the making neighborhoods safer, tie those pieces together. You know, the hard part is Blink was truly, it was a startup. Like it was a separate company. Ring was a separate company. Amazon bought both. And, you know, it is hard to grow. They both grew very fast when they got here. And it's actually.

it's really hard to integrate when you're growing fast. It's kind of like, in some ways, it's like you get one or the other. It's like, do you want to grow fast or integrate? And so it's actually been hard. Part of it has been hard because both brands, and Blink has been extremely successful, have just grown really fast. The reason I ask that question in that way, in that sequence, is Dave left. Dave's strategy, and I talked about this at length, was we should get Alexa everywhere.

We're going to have this platform for ambient computing, and we need to put microphones and speakers everywhere and get the intelligence as far out in as many places on the edge as we can. We'll see what works, and then that will become the basis of the ecosystem. And that led to Alexa and microwaves. There was just a lot of ideas. And Dave's product launch events, we used to clock how fast products could get introduced. That's Dave. I've known Panos for years. Panos is not that personality. He's like, I'm going to make one diamond, and we're all going to look at this diamond, and I'm going to tell you how shiny it is. And it's very effective, and he's very charming at doing that. And he's really pulled everything together. And when I talk to him about what the Amazon consumer ecosystem should be in the moment, it really is pulling things together.

Ring as a startup, you're the founder, you've come back. How much push and pull is there between Ring as an ecosystem unto itself, a household name, and it's part of the larger Amazon ecosystem that I know the strategy is to pull it together and make it more integrated? Yeah, and I think we're trying to figure that out. I mean, Alexa Plus for sure is the centerpiece of, it's like the center of the universe. It's where the gravity comes from. And so everyone's kind of, we're kind of all floating out there around it in its solar system. So I think it is trying to figure out one is where naturally to bring it in.

and try to make it a better experience for customers as we do that. You know, but at the same time, Ring also has, you know, it has, as you said, like it's been pretty successful on its own, on itself. And so like, you sort of want to make sure you also just don't smash things together for like no reason and figure that out so that it doesn't hurt customers. It's also been historically, I think people have gone that way too, where they've just taken two things and just kind of like pushed them together so hard that for customers, it actually doesn't work. I think we're doing a good job of it. I mean, I think, you know, Panos and I are working well together. There's also like, you know, Daniel at Alexa. I mean, there's all like a, you know, there's also Fire TV in that. So it's with Aiden. I mean, like we have like a whole team that's like, I think.

coalescing and coming together and figuring out. Nick with Eero. So there's actually like a lot there that we can bring together naturally and I think does create a great experience in the home. And I'm looking forward to like what we can do with it. Alexa certainly will be the centerpiece as the like a Genic AI to it. These are the decoder questions. I was asking everybody how their teams are structured. You left, you came back. Did you restructure Ring at all? Did you make any changes to how Ring was operating? How were you structured? How are you structured now? I did. I'm certainly not like enough of like a student of business to even tell you like what type of structure it is. I built it like, again, from my garage to, you know, sort of five years in at Amazon. There are things that when I left, I realized I was doing wrong.

that i'd set up wrong and a lot of like a lot of the problems at ring i'd say that i came back to most of them i'll even say like were things that i had set up that i just had sort of allowed to fester and become wrong and so when i came back i did have a lot of clarity around how to fix that and so i did come in pretty quickly and we fixed a lot of things i i do you saw the results of that with the fall event we got a lot of product out we're getting a lot of product out we have a lot of new invention happening even the search party for dogs like all this stuff i mean i've only been back for i don't know seven eight months now um and we've literally launched you know from start to finish hardware products which i'd say like i don't think we ever did in the history of ring that fast and so and a lot of that is It's reorienting how teams are, AI, just pushing things, understanding where to push, and so a newfound energy. So it has been fun to come back. And again, for being able to see it from the 30,000-foot clear level, no noise, I got to really understand what it should do. And then coming back, I feel like I had this clarity, this sniper focus on it. Give me an example. I mean, this is a weedsy show about structure more often than not. What are the actual changes you made?

I mean, I'll go into like the asking why. So over time processes, you start building product and it's like, it takes X months and you sort of just the PDP process. And they always have like every, it's like three letter words for everything. And then people even forget what the three letter words are, but like you still have the process. So it's like all these different. So we're trying to get something out. It was a product we came up with when I came back in. So it's like, we wanted to launch it, which is shipping now. So this is called seven months. So from like zero to seven months, like that's crazy. And the team said, like, we can't do this. And so instead of like, before I would have like, okay, like, okay, let's look at it. And they would have shown me like the PDP process or some three letter word. And it's like.

90 days. I'm like, oh, well, I guess you can't do it. You have 90 days for the PDP process. How can we? So I would have just kind of let that go. So this time, like, no, why, why, why? And we drove down and drove down and drove down and drove down. And then you realize like that process could be four hours if everything goes okay.

But they give it 90 days because if something goes wrong, you need the time to fix it. And I'm like, well, the problem is, of course, you're going to need the time to fix it. Of course, it's going to go wrong if you give yourself the time. So let's just say we only have four hours for it. Let's give it one day. And of course, we're not going to ship a broken product. So don't worry. If it's broken, we're not going to ship it. It'll just push it out. But if we don't pull that in, we're also not telling the factory to start cutting the steel. And it's like everything cascades from that. And so we took this product. We sort of broke everything down from that. And instead of it taking probably 18 months, which would have been the regular, it shipped in six months. All right, now I got it. What's the product? I'm not going to tell you.

Well, I have to know. You're not going to get that out of me. It's one of the products we shipped. Just look through the nine cameras I shipped. One of them was the accelerated approval process. Nine cameras. I shipped nine new cameras. Just look through those. Just look through those. I'll see. I'll see which one is the most obviously accelerated PDP products. You can see that as consumers, right?

Did you change anyone on your team? Did you change how your reporting lines work instead of Amazon? Did you change where? I'm curious, like you have this outside view. How did you think about making those changes? Yeah, we changed a bunch of stuff. Like changed a bunch of the reporting stuff. I mean, I've never been a big reporting person. You know, at Amazon you do, a big company does need, like you need to have a structure. It's like even, I'll admit it, like I hate to admit it, but like you do need to have some sort of like a decent structure. I mean, you have, you know, one point.

5 million people? 1.7? I don't even know what Amazon is, but it's a lot. So I guess you have to have some structure. But I did, yeah, I did change who goes where. I brought some people that I'd say people probably thought were more junior that maybe wouldn't normally report to me. And I had them report to me. I broke up how I made them individual contributors more. So instead of having to have to have reporting people and try to make these triangles, I said, you're just going to now run this thing and you're going to report to me.

And let's see how that works. And then, you know, and I'd say also more willing to break stuff this time, like a little bit more willing to like, should try to like break things. And then obviously, you know, within reason that you break things and then fix them up if you have to. And we're not always right. So we do try some stuff and change it. But, but, but certainly, yeah, no, change, change the people around, change some stuff around. And so far, I think it's like, I think we've really gotten sort of fast and it's been, team seems excited. I mean, there's always, you know, there's always some people that are less excited when you have change. But overall, I feel like, I do feel like it's actually like the energy here is, I'll call it exciting. We have to take a short break here. We'll be right back.

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Welcome back. I'm talking with Ring's Jamie Siminoff about Amazon, selling his company to Amazon, leaving Amazon, coming back to Amazon, and managing his team and his product within Amazon's fairly legendary corporate environment. One of the more interesting themes that we experience making Decoder is everybody who comes into contact with Amazon leaves just speaking Amazon, right? Talking about one-way doors and two-way doors and two pizza teams and single-threaded owners. And it's very rare that Amazon's culture does not turn into everyone's culture. You had the opportunity to leave and come back. What parts of Amazon's culture were valuable out in the world? And what parts of Amazon's culture did you think, oh, this actually isn't working? When I go back, I want to actually reorient myself and tweak that.

I think so. I do think the doc, like doing docs, it literally, I got out. So they're writing the memos and all that stuff. So I get out in the real world and I'm in like a real meeting with like people and they're doing a PowerPoint. And I literally lose my mind. Like I'm like, I'm losing my, I can't sit here. I can't do this. I can't get information in this way anymore. Like I've been so trained. The thing about a doc that's so amazing is you get to like teach yourself the information. So you get to go at your speed. You get to think about things and sort of like, you get to process it yourself. When it's on a PowerPoint, someone's literally like, they're teaching you at the speed of the entire room. It's all dumbed down. And so I realized like that to me, the doc is when he's just like uber, uber powerful things. The one-way door and two-way door thing, I do think it's a great concept. I think it's been weaponized too much that.

it's too easy to say something's a one-way door. And so what I've decided is I came back that there are one-way doors, but you better not be able to break them down with a hammer. So like, to me, it's like, don't tell me it's a one-way door unless it's really a one-way door. Because a lot of the things that we sort of decide are, and for anyone listening who doesn't understand, like the two-way door decisions are like, it doesn't matter. You can like make the decision, you just go back on it. Like it's like a very sort of easy decision. One-way door decisions are supposed to be something that if you make that decision, basically you in essence can't change it. Like it's so impactful that you can't change it. And I think over time people have leaned too far into.

one-way doors as like, this is a one-way door decision and we have to meet on it versus like, no, it's actually not. It's a little bit painful, but so what? And so, yeah, my mental model is if you can break down the one-way door, it's a two-way door. Give me an example of your decision-making framework then. I mean, this is the other question I ask everybody on Decoder. Again, the joke is whenever I ask anybody who's come within 100 miles of Amazon headquarters, I say, how do you make decisions? And I hear about one-way doors and two-way doors. It's obviously riffed on that, right? But it is a good mental model. So it does work because you should be allowing people at scale to make decisions that don't...

that could be changed. It makes sense, right? It's fast. If you want to make a decision that can be changed, it's not that impactful, make the decision. If it's a super impactful decision, we should talk about it. But then it's the bar on that. How do you change the gauge to how sensitive you are to what is a one-way door? That, to me, is what we have to do. When I came back, that's where we have to figure that out. And I do think I'm very good. My superpower is I'm good at making these decisions. I was just in a meeting where we were branding a bunch of features. And I'm like, do this, this, and this. And they're like, uh...

It's like, do we need to have like seven meetings? And I'm like, no, just do these. They're like, oh, you know, it's kind of, everyone's like shocked. And I'm like, guys, it's, if it's a bad brand, we can just change it. Like, it's a feature. Like, it's like, you don't want to do that. Like, you don't want to call, it's like a new AI feature for us for one of our kind of motion alerts things. You wouldn't want to rebrand it. Like, it's not great, but it's also like, customers are just like, our neighbors aren't going to care if we go from calling it this to that. Like, it's not going to like, it's not going to ruin their experience. What's going to hurt them is us not launching something or taking more time. Like, that's worse. And so to me, I'd much rather make quick decisions than to sort of stew on these things. So I do think

one-way door. Do you think that that ability to move fast is the luxury of being sort of the market leader ensconced in Amazon? I think it's the luxury of also being a founder. I do appreciate the fact that like the difference of being able to be the founder and having that, like, even though I am, listen, I'm an employee of Amazon. Like I don't, I'm not like trying to like act as if like I'm not, but there is something that you get from being the founder overall that I'd say you'd be harder to have if you just came in as a VP of whatever, you know, and you're recruited in. Yeah.

That piece, the founder mode dynamic inside of a big company, Amazon has preserved it, I think, more than anyone. You mentioned Nick Weaver. I've known Nick forever. I knew Nick when he was selling Eero to Amazon. He retained the title of CEO. You had the title of CEO. You left. You came back. You told me right before I started. I actually did not. I've always had chief inventor. I never took CEO. Even when I was at Ring, I never had CEO. If you go back to my oldest emails, it says chief inventor and founder.

But you get to do that when you're the founder of a standalone company. Of course. You can pick whatever title you want. But inside of Amazon's structure, you've purposefully not taken that title. Is there a reason for that inside of Amazon? Do you have all the authority of a CEO inside of that Amazon structure and you just don't have a title? I would say I probably do. I probably have what would be considered internally a CEO. I think it's a CEO. It's a little bit of a misnomer, though, inside of a big company. Because the reality is there's a CEO. There's Andy. And then I definitely have the feeling, though, of autonomy to lead and make decisions for the area that I'm responsible for. So whatever that's called.

I do feel like I have that. I think Nick feels like he has that with Eero. And I think that's why people, it is not a thing, it is why people say, because you give them, whether it's a CEO title or, but it's, they certainly have the power to make the decisions. And, you know, in the end, what we like to do, what Nick likes to do, what, you know, founders like to do is build stuff and make stuff happen. And so that's the thing I miss most about being outside of Amazon and Ring is like, I can make things happen at scale here, you know, which in a way that's just unbelievable. I mean, it's just like, I'm going to, we're launching this dog search party thing. It was like one of the most, I'm so excited about this thing because we're going to find.

hopefully all these dogs. There's over a million dogs are entered into our neighbor's app every year. So it's like, the problem is so crazy. It's like, when we went, I said like, how many dogs are actually entered into our neighbor's app? I'm thinking they're gonna come back with like, if they said 50,000, I'd be like, that's a lot. Wow, 50,000, that's crazy. They're like, there's over a million pet interactions a year in the neighbor's app. And my mind exploded. That's crazy. And so, you know, to be able to like touch something like that and build something like that and think of something like that, you know, at that scale and get it out there and impact people, that's, I don't know who, like, especially for an inventor or, you know, founder, that's the coolest thing ever. I want to actually talk about search party and how that interacts with like sort of Amazon's platforms and Amazon's scale.

I'm curious, right? There's founders, there's moving fast. I want to put some of the one-way door, two-way door dynamic into practice here. Okay. I look across sort of Amazon's portfolio, which is coming together. I look at Eero. Eero has a big bet on thread radios, right? Like my Eero routers, there's one sitting right over there, has thread radio in it. Yep. One day that's going to connect to, you know, Apple's thread network, and for some reason the iPhone has a thread radio in it now. This is like the smart home standard that a bunch of big companies, including to some extent Amazon, are pushing forward. Yep, for sure. You made a bet a long time ago when we started on a different protocol, on Z-Wave, which I would describe as like the security system protocol, right? That's the one that all security systems run on.

That feels like a one-way door. Like, you made that decision. There's no coming back from it now to the big standard that, right, your stable-mated Amazon has been on. Blink operates on, like, a totally different, random, inexpensive RF protocol. There's a whole thing over there about why those hammers are cheap and can run on AA batteries forever. That's just like an Amazon, right? A big company has three divisions. They've all made three different technology bets. Someone, Andy Jassy, could say, what are we doing here?

Make it all one platform. You didn't even make it as bad as it actually is. I also came out with Sidewalk, which is another protocol. So it's even worse than you're saying. So put that into practice. How does that work? Is there a meeting where someone's like, yo, we could get a ton more value if we undo what felt like a one-way-door decision and we all center ourselves on one platform, one protocol? For sure, especially those protocols, they get close to one-way-door. The product that ships is the definition of a one-way-door. You ship a Z-Wave product.

Like that is a Z-Wave product. Like that's it. It's like a Z-Wave product is a Z-Wave product. So that is a one-way door decision. The two-way door part though is if all of a sudden you see something in thread that's really happening, the replacement cycle on these products call it as, you know, even on the long side, maybe three to five years, maybe six, seven, eight years. So if you look like if all of a sudden you saw

that everything was really going to go thread. And it was like, that's it. And if you were not on thread, you were like, thread or dead. Like if that was like what we decided, we could flip to that. We have enough, you know, of our toe in the water to figure that out. And so maybe you hurt yourself for like a tiny short-term thing, but you've also tried to figure out other things in the long-term. So I think that one, as much as it's one-way door on the actual product, I think it's still two-way door to figure that out. And I do think like Sidewalk, I think we're going to see a lot of interesting stuff with Sidewalk next year, which is a sort of a IoT.

sort of protocol, but more really a replacement of internet for the trillion devices that are going to need to come online that have very low data. So very low, low data, like, you know, kind of in and around the home devices. The connection I make there is, you know, you look at the first ring cameras, look at the door bot. You had to invent a lot of stuff, right? There's chapters of your book that are, how am I going to get a camera to run on this power draw in this Wi-Fi enclosure? Whoops, I made the thing out of aluminum and I shouldn't have done that. There's a lot of that for people who are interested in that, right? We are way on the other side of the smartphone commodity supply chain.

Well, you can just take a bunch of sensors and Wi-Fi chips and camera modules off the shelf and make it work. And you have lots of competitors who are effectively doing that. The innovation is going to come from, OK, we have AWS exists, right? There's an entire AI platform for us to build on. Alexa Plus exists. There's an entire AI platform. There's Echo devices. There's whatever. And I'm just wondering how you think about the balance of the things you want Ring to do versus the potential benefits of taking advantage of Amazon's ecosystem scale. Because that feels like the core tension of sort of the entire Amazon device ecosystem.

For us, we're lucky that most of our products, we have a lot of different products. If you look at the core products, they go to the cloud. And by going to the cloud, again, if you want to look at the two-way door, one-way door thing, the cloud's a two-way door. The cloud, you know, a new NVIDIA chip comes out. it'll be available in the cloud. And so we don't, like, we're not that constrained because we're not, again, most of our products, especially our core products, they're not sort of stuck in the home where we can't upgrade them. And that's where we've been, you know, the older Ring doorbells are doing smart video descriptions. Like, they're not doing it because we planned so far ahead, you know, eight years ago, I wasn't smart enough to put an AI chip in it. It's because now there's AI chips in the cloud and they're already up there and that's what we use to do it. So I think it is, specifically for around us, like, integrating with Alexa Plus is easy because it's not, it doesn't have to be done locally. Like, that is the problem is when you get these local things, did you plan ahead enough? And that's the planning ahead is...

years ahead. Like, you know, because if I think of a product now, the reality is on a, on most projects, I made one six months, but it used to be, it'd take you like almost two years from when you thought of a product till it came out in the market. Then it's another year to get it to scale. So it's basically three years from when you think of a product till it's at a point where it has enough in the field to matter. And so whatever chip you chose three years earlier better have aged well because it's out there now. Moving everything to the cloud, particularly video footage of people's cameras from their homes, right? That's where the privacy concerns come into play. That's where the, hey, are we building an accidental surveillance network comes into play?

you know, I'm just looking at the headlines in my prep talk. It's like, you left, Amazon said, we're going to stop working with police. You came back, boy, Ring is going to work with police again, right? You have a partnership with Axon, which makes a taser that allows law enforcement to get access to Ring footage. Did that feel like a two-way door? Like you just made the wrong decision in your absence and you came back and said, we're going to do this again? I don't know if it's wrong or right. I think different leadership does different things. I spent a lot of time going on ride-alongs. I spent a lot of times in areas that I'd say are not safe for those people. And I've seen a lot of things where I think we can impact it in a positive way. And so we don't work with police in the way of like, I just want to be careful. It's like, we're not.

You know, what we do allow is that we allow agencies to ask for footage when something happens and we allow our neighbors, which I'll say at this point, customers, just to be clear, we allow our customers to anonymously decide whether or not they want to partake in that. So if they decide they don't want to be part of this sort of network and don't want to help this public service agency that asked them, they just say no. If they decide that they do want to, which by the way, a lot of people do want to increase the security of their neighborhoods. A lot of people do want their kids to grow up in safer neighborhoods. A lot of people want to have the tools to do that and are in places that are dangerous. We give them the ability to say yes and make that more efficient.

for them to communicate with those public service agencies and also do it in a very auditable, you know, with a digital audit. Like that's the other side is that today, without these tools, if you wanted to have, you know, if a police officer wanted to go and get footage from something, they'd have to go and knock on the door and ask you. And that's not comfortable for anyone. It's also, there's no digital audit trail of it. And with this, they can do it efficiently, but there's also an audit trail. It's also, it's very clear. And it's anonymous. If you say no, you never have to say like, that officer's at your door. You have to say like, no, which you could, I guess say, it's very strange. It'd be like a weird situation. If you say no on this, they don't even know that they asked you. I'm curious, you know, you mentioned the audit trail.

I know you're really excited about the prospect of AI to analyze huge amounts of video and think about all the sensors in your home coming together with AI to bring people more insight. That's interesting, and certainly that's how you get to build Search Party. There's the other side of it that we cover at The Verge all the time now, which is, boy, people are using Sora to generate footage that looks like Ring video doorbell footage. And Ring being a verb, the angle of the doorbell, all that stuff creates a feeling of authenticity, even though the footage is totally synthetic. It's fake.

Are you thinking about that? Hey, we need to put in content credentials to ring doorbells before law enforcement gets them so we can verify this is real and not AI generated? Yeah, I mean, we're certainly thinking about that. We've been thinking about that. And I do think it's where we have to, in the end, the source of truth is going to have to come from like a secure server because I do believe these AIs will be able to generate, you can see it with Sora. It's like, there's some videos where I just, I have to watch it 50 times to understand if it's fake or real.

and at some point i think like if that's where it is today in five years it's going to be better and so the only source of truth will be from these servers where it's like where it was captured so you know 100 that you're getting like the the video like you're streaming it directly from there and there's no chain of custody issue um so i do think yeah i think about it a lot and i think we have to we're going to all have to go into a world where Like where you got the information is going to matter because there's no way for a human to determine. Even watermarks, I think, are going to get, it's going to be very hard to out-watermark an AI at some point. Yeah, I'm curious. I mean, there's the whoops, we were late to thread standards decision, right? By the way, I think you're late to thread. I don't know if it's coming through. I think you should make ring cameras and thread. I'm listening. Let me know if that's going to happen. That's one kind of decision with one set of stakes.

whoops, we relate to C2PA, which is the content authenticity initiative standard, or we need to make a better standard and there's going to be a format war, or actually we think standards are not the way to go because AI could maybe fake the metadata too, and we're going to build an entire evidentiary system that requires the cops to come to our secure server that we will authenticate. The sticks to that are radically different, right? In a world of AI deepfakes where everyone presumes video evidence is the gold standard and it's coming from your network. How are you thinking about structuring that decision? How are you thinking about privacy in that mix?

That means you have to store a lot of video from a lot of people for a long time. And then how are you thinking about how quickly you might need to implement it in a world where AI is changing that so fast? Yeah, so if you go back to it, the privacy thing is that our customers control their video. That's it. So I think you always have it that customers... Actually, let me just complicate that. Presuming we have to have an authenticated server, right? There's a crime in my neighborhood, and I'm opted in, and we're going to say the cops can only get the video from the Ring server because that's where we know it's true. I might not be as in control of my video anymore. No, because not how it's built and not while I'm here, because the way it works is that you will like...

you will decide if you want to or not want to share that video, which is your property, with someone. Now, once you share it, then it is like up to us to figure out to your point of like, how do we share it? How do we make sure that the digital fingerprint goes all the way through? Or how does that chain of custody work of this video to make sure there's no fake in the process of it? I think that's why it is important to build these systems. It's going to be important. I mean, this is like where also government is going to have to step in. We're going to have to deal with this across the board because we also have video coming off of cell phones. So we do need to figure out how to build, and there's going to be companies, you know, Axon would probably be one of the companies. I don't want to speak for them.

But, you know, they have evidence.com. So to build these evidentiary systems to take in, because Ring is one part of taking in sort of data around call it a crime scene. You know, cell phone video is maybe even more still today than that. So how do you take that in? How do you make sure that it actually was captured on the iPhone directly and not, you know, tampered with between the two things? We're going to have to figure it all out. I think we do have to work together on it. And it is, you know, the AI stuff is pushing us to sort of have to do it.

proud with Ring is that we have built it so that you can take it directly, you keep it on the server so you can understand where it was, where it's from, where it was created. And we have that digital fingerprint on it and the audit trail of it. Are you having meetings about this problem and that sort of cadence and with the urgency is we got to get through PDP faster? Yes. I mean, we are definitely trying to figure out how to make sure that our videos are always a source of truth. And right now, I mean, it's how we do our sharing. I mean, you go to a link and you take it from Ring. And so, I mean, I think you're going to do that more and more as this world is changing. Like, you're just not going to be able to see just because someone sends you a video doesn't mean it's true.

Yeah, I mean, that to me, just because someone sends you a video doesn't mean it's true, is as deep a flip of our expectations of photography and video as has ever existed in the history of photography. Because up until now, you would have had to spend $100,000 to make that fake video or something. There's some crazy amount. If you wanted to make what you're talking about, you would have actually produced it. And now it's just you type in, make me a video that looks like this and does this. It's crazy. It has really flipped this on the head. So I would say to anyone, this is where you do your research. Use even AI to research.

what something's coming from. I mean, you have to like sort of use multiple, multiple things to figure out what is truth and what is not true. It's like, well, we have to teach, like we have to teach our kids that too. I mean, it's just, that's the world they're going to be in. And we need to just like, you need to understand that. We have to take another quick break. We'll be back in just a minute.

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Welcome back. I'm talking with Jamie Siminoff from Ring. Right before the break, we were talking both about how Ring uses AI and how so much AI slot being loose in the world changes the way people feel about Ring footage. Then I had to know, how does he see all these AI tools actually improving safety over our lives? I'm asking all this because, again, you told my colleague Jen Toohey that with Ring cameras, we can get very close to zero crime. That's the combination of Ring and AI. And you can get much closer to the mission than I ever thought.

Zeroing out crime with ring cameras, there's a lot of steps there. Explain what you mean by it. And also, to asterisk that if you go to the overall, I said in certain situations, so like around neighborhoods, I said, if you have all of our different products in a neighborhood, I do think with AI that we can finally see a path where before I would say with the mission, you know, we want to reduce crime in neighborhoods. Great, we want to make neighborhoods safer. Okay, sure. But it was like a forever mission. Like I couldn't see what technology had to get.

to a point that you were, I can see where you were impactful, but like you could never like sort of get, but when you put AI into it, now all of a sudden you have this like human element that AI gives you. I think with our products in neighborhoods, and again, this is like, you have to be a little bit specific to it. I do see a path to get where we can actually start to get to where like, yeah, we take down crime in a neighborhood to close to zero. And I even said, there are some crimes that you can't stop, of course. So it's not, it's a little bit, it's always crazy to say something like zero crime, but it is, it's a good goal to have. And I think that's what we're trying to do is take the goal of like, how far can we go in affecting this now with AI?

Yeah. I read that quote and I was like, oh, that's Jamie. I know that guy. He's a very in character. I mean, you got to have, you know, think big. But mechanically walk people through what you mean. You put enough ring products in a neighborhood and then AI does what to them that helps you get closer to the mission of serial crime? The mental model or how I look at it is that AI allows us to have, if you had a security, if you had a neighborhood where you had...

called unlimited resources. So every house had security guards and those security guards were people that worked the same house for 10 years or 20 years. And I mean that from a knowledge perspective. So the knowledge they had of that house was extreme. Like they knew everything about you and that sort of residence and your family, how you lived, the people that come in and out. And then if that neighborhood had an HOA with, call it private security, and those private security were also sort of around and knew everything. Like what would happen? Like when a dog gets lost, you'd be like, oh my gosh, my dog is lost. Well, they would call each other and one of them would find the dog very quickly. So like, that's kind of like, so how do we sort of change that and bring that into the digital world? Can I just ask you a question about that neighborhood specifically?

Do you ever stop and consider that that neighborhood might suck? Right. Like I've just like the idea that every house on my street would have all knowing private security guards and I would have an HOA and that HOA would have a private security force. There's you can easily paint that to dystopia. Right. Like everyone's so afraid that we have private cops in every corner and I'm paying HOA fees, which is just a nightmare. I would assume you live in a safe neighborhood. I hope so. Yeah. No, I mean, today I assume I mean, so like I go to if you want, I'll take you to a place where people live that they have to when they get home from school, lock their doors and, you know, stay in their house and can't go out. And I'm just saying the model like the model is everybody is so afraid that they have private cops is.

I think the model is that doing crime in a neighborhood like that is not profitable. And I think that you want people to move into another job. Like, I don't think that crime is a good thing. And so I think, I don't know, but like, listen, it certainly is an argument to have. I do believe that I think safer neighborhoods allow for kids to grow up in a better environment. And I think that that allows them to be able to focus on the things that matter. And so that's kind of what we're going for. I just wanted to challenge the premise that like, the model is there's cops everywhere, right? Like that level of privacy. Yeah, it's not cops. I think it's more that you have the ability to understand what's happening. It's not like...

But I mean, I think, listen, it's a fair statement, I guess. I think, you know, I want to live in a safe place, so. The model is there's a lot of intelligence, right? I know that's what you're trying to say. There's a lot of intelligence in your neighborhood. Maybe it's private security, maybe it's not. What does the AI do? Does it just make the camera smarter? It lets you do more intelligent assessment of what the cameras are seeing? Yeah, I think the biggest thing is that the AI allows you to, like right now, we just say like motion detection, motion detection, motion detection. It's funny, like.

When I started Ring, it go back, like the book was fun because I get to go back and like actually, you know, go through this whole like story of like how this thing came. It's like motion detection was like an amazing invention. Like you're in the airport and there's a motion at your front door and you look at it like, wow, this is crazy. Now it's like with AI, we shouldn't be telling you about motion detection. We should be telling you what's there. Like when should you look at it? Like when does it matter? And we shouldn't be bothering you all the time. That's what I mean about this like idea of these sort of like a security guard at your house, security guard in the neighborhood. It's like there should be this intelligence in your neighborhood that can tell you when you should be trying to be part of something, but not always telling you. So it's not just like car, car, dog, you know, person, person. It's like, hey.

Look at this. You want to pay attention to this right now. There's a piece of that intelligence. I mean, again, we have ring cameras around our house. Boy, am I often told that there's a package at our doorstep. We just had a baby. There's a lot of packages on our doorstep lately. There's a turn where you can connect that to Amazon's database, right? And the package that arrives at my doorstep, you know it's in it. There's a turn where you can connect it to, I don't know, a facial recognition database, and you can tell me who is at my door. Once you start connecting these databases, the privacy implications start to sort of fractally explode, right? Now we know a lot, and maybe we know too much. And that's where, you know, when we hear from privacy advocates when we do our coverage, it's the connecting of all the data sources that actually reduces the sense of privacy people might feel in their home.

And I hear you that, you know, if you look at my neighbor's feed, it's a bunch of lost pets and then constantly people asking if other people have heard an explosion. Every once in a while, like, what was that sound? But when you connect a bunch of those databases, right, when you connect particularly facial recognition, there's a turn in the privacy conversation where the stakes ratchet up really high, right, where maybe it's gone forever. How are you thinking about that kind of decision making? Okay, we have a lot of intelligence in the AI. It's trivial for the AI to go connect to another store of information, right? That's a thing you can do with AI, especially at a big company on Amazon where you have lots of other stores of information. There's a line. What's the line for you? I mean, there's a responsibility, obviously, just to, like, build, you know.

safe products. So let's just start with that. Yeah. We did announce facial, like we call familiar faces, but that's not connected. That's just for your, like, that's, you know, how you're, I mean, your iPhone today, if you search your iPhone, it's crazy. Like search for someone's name and your photos and they're like, their face, their pictures come up. And so I do think there's a, there's a balance between not allowing technology to exist that should exist, that helps people and gives them more efficiency, gives them safer homes. And then also obviously not creating to where you're going to like this sort of dystopian place that, you know, is, is, is that. And so I think that, that is like, that's the responsibility, but like what we're doing familiar faces is we're just giving you the ability to say like,

When my wife comes home, don't, don't, don't, you know, because it is like silly. Like, why do I get an alert when my wife comes home? I don't want it. Like, I don't need it. I'm asking this for a lot of reasons, but, you know, I look at sort of broadly what's happening with surveillance footage out in the world. And I'm not saying Ring is participating in this. I'm just giving you an example. ICE has facial recognition systems, right? And they are arguing that a positive match in their facial recognition system is a definitive determination of someone's immigration status. That's right out there. I don't think you're doing that. But you can get to, okay, we have facial recognition. We have a bunch of evidence coming off of Ring cameras.

To make it really safe, you want to go from passive surveillance to active surveillance, right? That's what the studies show. Now we can just, the camera will literally identify the criminal by face and tell the cops this person tried to steal a car from this driveway. And that's the thing that would get you to actually zero out crime. There's a lot of risk in those steps. But, you know, if I draw the thread from what you're saying, it's all the way to the criminals won't come here because the cameras will know who they are and tell the cops. Are you willing to go that far?

It's not about the camera. I think it's also that the cameras will alert people in a way that's, you know, part of what made Ring and what made neighbors safer with like Ring 1.0, and I think we are in like Ring 2.0, is that there was no presence at the home. Like, how did people break into homes? It's like, they go literally knock, knock, burglars. They go like knock, knock, like no one was home. And then like, it was at three o'clock in the afternoon. They'd go to the homes next door, find a place that was empty, and they'd go in the home. Ring allowed you to now all of a sudden, like when someone comes up to the door, like you're like, oh, I got a motion alert. Hi, like what's going on? And so it gave presence to the home. So I don't think you have to go as far as...

that real-time stuff to, like, get to where we're trying. I think it's more of, like, the anomaly detection and allowing people to make it so that if, you know, if someone comes in, that you're aware of what's happening around the neighborhood. Because right now there's, like, no awareness of what's going on around it. So I don't think it's as dystopian as where you're going. It's really not what we're building. And I do think we can impact things to a really high level in neighborhoods, which, again, to the Gen 2 thing, I mean, in neighborhoods is what we're talking about, that with AI and what we're doing with a bunch of rings together. And I think, you know, even Dog Search Party is a good way to look at it, which is, like, how do these cameras come together for good in the neighborhood?

How do you think about hallucinations in this context? Your competitor, Google, just launched Gemini. They can do a bunch of recognition of various Nest cameras. The immediate reports were, this thing is saying a guy named Michael is in my house. There's like no one in my house named Michael. There's a deer in my living room. That's obviously not happening. Google's models are cutting edge. They're as good as anyone's. They're still hallucinating, right? Well, I mean, all I'll say is we've had smart video descriptions out for a while, and I would say ours are pretty good. So I won't talk about others, but I think ours are pretty good. The idea is that these things drive to a human decision, though. It's not that they're autonomously creating some sort of decision. It's that they're telling you what to do.

you know, hallucination that there's a deer in your living room, it might be annoying because you're going to like now check to see the deer in your living room and you realize that it's like, it's not a deer in your living room. But I do think it's driving, like that's the idea is that these things drive to a human, that they're not sort of creating some sort of autonomous decision-making cycle. Do you think the models are good enough to do all the things you want to do? I've certainly, no one I think in our, I don't think I've ever seen something like how fast AI is moving from a technology side. I've never seen anything where every few weeks or every month, it's like literally something comes out that has surprised us that's that much better than the next thing. Well, let me flip that question. Is there something you want to build where the models aren't good enough yet?

Probably not, but probably everything is there from the models being good enough. The question is from a processing, like the cost of processing might be off. So it might be that like the cost to do that thing is still so expensive that it's not rational to do. So again, the dog search party I go back to is like, you know, five years ago, could you have built something like that? Sure, it just would have cost you so much money, like in resources, time to develop it, like literally next to impossible to execute on. Whereas today I'd say it was reasonable. It still costs us money, but it's reasonable to do that kind of a product. Do you think when you talk about zero outcrime in a neighborhood?

The idea that everyone in the neighborhood has one of those illuminated ring signs in the front yard. Is that enough of it? That's a part of it. Is that just enough of a deterrent? Like the bad guys will know, like my face is going to be captured on video and that will be analyzed by an AI and something will happen. Do you have to do more outbound deterrents? I think that's a part of it. I mean, awareness is a big part of it. I think there's ways with lights also, like lighting to do stuff that's a big part of it. I think having just, you know, if all of a sudden someone comes outside because something's an anomaly, that's a big part of it. Like it doesn't have to be, it doesn't have to be some sort of like crazy thing. Like I think a lot of these, and that's what I was saying is it's a lot of these little things add up to make that work.

So when you think about, OK, we can bring it down, we can bring crime down a neighborhood to close to zero in a neighborhood. what are the sort of ratcheting steps, right? Is it everyone just gets the ring camera and your platform does all the work? Is it someone gets caught and they tell all their friends in jail that they got caught? Don't go to like, what are the steps? I think it's really about bringing neighbors together for this particular thing. So it's about how you individually, and we've always thought about how like each house is its own node controlled by the neighbor. So controlled by the person. And that's like, I'll keep going back to that, which is a hundred percent is that your video is your control. Everything you're doing is in your control. Whether you sort of want to take part in anything is in your control. Like that has to be the first layer of all of it. But then when something happens, do you want to take part in it? So if a,

If you get an alert that, like, this dog looks like this dog that's in front of your house, can you contact your neighbor? You can decide not to take part in it, and then no one will ever know, and it's fine. It's just, like, basically deleted. Or you can take part in it. And so I think that's how we can do things that can make a neighborhood into this, like, node where individual neighbors are all sort of on their own, but when things happen, they can work together as they want to. And you think the AI will sort of accelerate the process of working together? I think AI is like a copilot. It's their assistant. It's helping them to figure this out. Because, again, if you're just getting every motion alert, and if you have eight cameras and you're just getting motion alerts all day, you can't, no human being can parse all this data.

And so that's kind of what I was talking to Jen about is that I do think I see now a way to use AI to help feed better data to us, which allows us to make better decisions and work together better. That's really interesting because that's a vision of AI that, you know, it has a beginning and end, right? There's a huge amount of data. AI can parse that data better. The LLM technology we have today can make better inferences out of that data. And I understand that processing chain. Let me ask you about the other side of it, which is you're part of a big company that has a smart home stack.

that has lots of microphones and speakers in lots of people's houses. I went to the Alexa Plus launch event, and it was so funny. Pano specifically gave the demo of show me when the dog came home, and then it showed footage from Ring camera. And I went, oh, that's not Alexa Plus. Ring already had that. You're just asking Ring to show the thing from its platform that it already had. I see all of that. I look at the big companies, Amazon, Google, Apple. No one has actually managed to add the LLM to the Assistant in a way that works great. We've all shipped it. Everyone's shipping it except for Apple, which apparently had to start over.

But even the ones that are shipping Gemini with Google, Alexa Plus, they're first steps. And the idea that you can orchestrate between what's happening, like I just want to talk to you about, my kid just wants to ask you questions about space, which is all she wants to do with any of these tools. And I need you to turn on the light. and that is a very deterministic process that you shouldn't get wrong. That orchestration is very complicated, and no one has really quite nailed it yet. When you look at that and how Ring should interact with that, does that feel like the AI tools can do the things we need them to do? Because when I say there's a product I want that I don't think the models can achieve, that's the first one that comes to mind. The LLM-powered assistant that does everything that we thought Alexa should do when it came out in 2014. I would say I'm very hopeful that Alexa Plus is there in a lot of ways today, and obviously the team is working on lots of new features as well. I do think the vision that they have there for it, both what's out and in the market as well as what's coming, is like...

I think it's that. I mean, I do think it's that. And it's also where, as you said, like Ring, you know, it's great. You bought it maybe for security and you had it for this, but like it also tell you if you fed the dog or not and remind you because it actually like there's a intelligence behind Alexa. And in this case, I'll say it's like almost like a house manager where it's taking this intelligence, this digital data saying like, I think you didn't feed the clock. Like you didn't feed the dog. Like, do you want to feed the dog? And it's like, no, I did. I did it over here. Like you didn't see it or, oh, you're right. I forgot to feed the dog. And so I do think, I think that's.

What we want is, listen, I think we all want assistance. And so, like, what I'm talking about with Ring is obviously, like, I'm more focused on this idea of, like, security assistance for your home and your neighborhood. And what you're talking about then is, like, how do you get, you know, assistance in your home, like, inside the home, inside, like, the four walls? Well, it's much more like, I understand we are generating vastly more video footage than ever before. And we have vastly more sensors. And LLM seems like...

a capable, if not always appropriate tool to manage all that data, right? And to get something out of it that's human readable, like literally human readable. I understand that. And I see that argument. I see why there's so much interest there. It's the next turn, which is there's just an always on intelligence in my house that can understand all of these different systems and connect them all together and actually sometimes do very predictably dumb things. I need the lights to turn on and sometimes go out in the world and, you know, like book a concert ticket, like all the promises we're making. And I'm asking you because I think you have more insight into it. I'm not actually sure that LLM technology as it's presently constituted can make that leap all the way.

I'd say I believe that we have all the technology pieces together today. So like the individual, like if it was a construction site, like all the things are on the site, like the wood, the concrete, like all the pieces are now there. I think to your point of like building the building, like there might be some pieces like where it's like we have to figure out how to exactly put the concrete together with the wood to make it like to make it exactly work. But I would say we now have crossed over to where I do believe that all of the actual technology pieces are there. I think some of it might be even on the processing side, like it might just be too expensive, like to do what you're trying to do might be so expensive. You might need an NVIDIA N100 in your house. And like, that's just like, but that NVIDIA N100 in a year or two.

you know, it could be like 50 bucks. And so if that's the case, then you probably will have that. So I do, I, I, I look at the roadmap for Alexa. And so when I can see it, I do think we're going to have like that in essence, always on intelligence that goes from, you know, turning on the lights to a turkey timer or whatever, but also to doing very complex things like understanding, you know, that like it's garbage day, the garbage cans aren't out because seeing it on this, you know, I've been at home. Like it kind of does like more than like, it does multiple turns of intelligence like a human would do to say like this, you know, can you look at this? You should do this as if it was like a full-time. That's kind of what I say with the, I say like a security guard at your house and in the neighborhood.

What I meant about it is this idea of this intelligence that really knows you. And the only way to get that historically has been not only a full-time person, but someone who's been there for a long time, because they have to know everything you're doing. And I do think Alexa in the home will be that, if not already is on Alexa Plus in a lot of ways today. Well, Jamie, we're going to have to have you back when that all comes to fruition and when you announce the inevitable thread-powered ring cameras. I believe that promise was made on the show. We're going to call them NP cameras. I was promised a seven-month development cycle on these cameras. I'll do four months. I've got to get faster.

The book is called Ding Dong, How Ring Went from Shark Tank Reject to Everyone's Front Door. It is a very dishy read. If you're the sort of person who loves reading about how hardware is built and how companies are started, I can't recommend it enough. It is, I believe, available on Amazon. It is. I self-published it through Amazon. I mean, it's like, what else could you do? I mean, I had to. I mean, it's just I had to, but that was fun, too. Yeah. What's next for Ring? What should people be looking out for? We just launched all our new 4K cameras. They're awesome. Search Party for Dogs is going live very soon. Lots more fun stuff coming, and can't wait to show people what we can do. All right, man. We'll have to have you back soon. Thank you so much for being on Decoder. Thank you very much.

I'd like to thank Jamie Senoff for joining Decoder today, and thank you for listening. I hope you enjoyed it. If you'd like to let us know what you thought about this episode or really anything else, drop us a line. You can email us at decoder at theverge.com. We really do read all the emails. Or you can hit me up directly on Threads or Blue Sky. Now's a great time to ask us any questions that's on your mind, too, since our end-of-the-year special is only a few weeks away. Decoder is on YouTube now. You can watch full episodes at DecoderPod, and you can also watch clips on TikTok and Instagram. They're at DecoderPod, too. It's a lot of fun. If you like Decoder, please share it with your friends and subscribe over to your podcast. Decoder is a production of The Verge and part of the Vox Media Podcast Network. This show is produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our editorial

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