EP 264: AI-Powered Devices: Do we actually need them?

This is the Everyday AI show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business and everyday life.

Will these AI powered wearables take over the world? Just in the last few weeks, we've seen the public release of two high profile AI wearables in the Humane AI pin and the Rabbit R1. But are they any good? Will we all have AI powered devices soon and do they solve any problems? And I also think that there's one big thing that no one is talking about when it comes to these new AI wearable devices or this new category. All right, we're going to be talking about that today and more on Everyday AI. What's going on, y'? All? My name is Jordan Wilson and I am your guide. And Everyday AI is for you. It's your daily podcast, live stream and free daily newsletter helping everyday people like you and me learn and leverage generative AI, grow our companies and to grow our careers. So if that sounds like you, or if maybe you're just interested in learning about these new AI wearables, then today's show is definitely for you. So before we dive into this, this new breed, this new breed of wearables, right, which it seems like there's literally a whack, a mole, right? They're popping up every day. So before we get into that, let's start as we do every day, with AI news. And as a reminder, if you're driving or maybe for some reason, you're, you're a avid podcast listener, avid live stream audience, which thank you for that. But you got to become a loyal newsletter subscriber. So make sure to sign up at your everyday AI.com usually a couple hours after the live stream. And right after the podcast, we put our newsletter out. It is, I think, the best source for AI information out there. Written by a real human. Me. I'm a real human. All right, so let's go over the AI news for the day of May 3, 2024. So a new AI chatbot competition with a $100,000 prize pool has sparked some excitement in the AI community. So Kaggle and LMSYS have initiated a competition to forecast human preferences in chatbot interactions, offering a substantial $100,000 prize. So participants are tasked with predicting user performances in battles between various large language models like Google's gemini Metis, Llama, GPT4, Claude Mistral, et cetera. So the challenge is running now until August 5, 2024, and aims to advance the evaluation of large language models. So the data set for the competition can be accessed from the Chatbot arena which we've talked about on this show before, featuring models like Gemini Metas, Llama, GPT4, Claude Mistral and more. So it is in partnership with Kaggle and the Large Model Systems Organization and they're a key player behind this competition by providing the platform to compare over 40 large language models in their side by side Chatbot arena. All right, next JP Chase has kind of released a new model. Not for everyone, but JP Morgan Chase and company has announced the launch of Index GPT, a new tool powered by OpenAI's GPT4 model that creates the thematic investment baskets by scanning news articles for keywords associated with a specific theme. So JP Morgan Chase is utilizing advanced AI technology to create this new investment tool. So Index GPT generates a list of keywords related to a theme and uses natural language processing to identify relevant companies for investment. So this, this tool could revolutionize thematic investing and potentially outperform traditional methods. Right now the product is designed just investors who are interested in thematic investments based on keywords and with associated themes. So it doesn't look like this will be a general public release. All right, we actually have two more pieces of news. We got a lot going on today, but is OpenAI coming for Google with a new search engine? So according to some recent rumors, OpenAI may be planning to launch a search engine instead of a flagship model at an upcoming event in May, potentially upstaging Google's annual developer conference. So OpenAI, at least according to some reports, is expected to lease a in house search engine at an event potentially next week. May 9th is the rumored date. So nothing confirmed there. This is very much a rumor, but the time that time and date is according to one very prominent Twitter user who has successfully talked about many OpenAI rumors in the past that have end up ended up being true. Important date, right? That that May 9th kind of leak as Google is scheduled to hold its annual developer conference on 14 May. So OpenAI may be motivated to build a search a Google search alternative due to some people now just using ChatGPT like a search engine. Also important to know that Sam Altman, OpenAI CEO did say something relevant on this in a podcast interview in March 2024 when talking about the intersection of large language models in search he said, and I quote, I don't think anyone has cracked that code on that yet. I would love to go there do that. Also at that point the OpenAI search product had already been widely widely reported as we even talked about it here the month prior in February. That's why you got to read every day. All right, last piece of AI news and then we got a lot today. But Microsoft, Microsoft's fear of Google AI has actually led their investment into OpenAI. Right? So internal emails just released as part of the U.S. department of justice antitrust case against Google revealed that Microsoft's concerns about Google's scarily good AI capabilities, particularly in areas like Gmail's autocomplete, actually led or contributed to their investment in OpenAI. So Microsoft CTO Kevin Scott's warning about being years behind competitors like Google in AI capability highlighted the urgency for catching up in the rapidly evolving AI landscape. So the emails also emphasize the timeliness of their decision to invest in OpenAI, reportedly bridging the gap and accelerating the integration of advanced AI technologies like GPT4 into Microsoft products. All right, a lot of news. So we have more. Make sure to check out your everyday AI.com for that. And hey, I'm excited about today's, today's show. So wearables, right? AI wearables. Are these the next new big thing? Is this the next mobile phone? Are we going to stop using or stop needing mobile phones, right? Are we just going to be using these AI wearables, these new AI devices? It's a, it's a brand new class, right? So, so let's, let's talk about them quick and we're going to go over them in a little more detail. But I want to just start high level and say, do we actually need these devices? Right? So I'll say right now that there's probably, you know, three to five main, main devices. So I would say it is the humane AI pin, which is something that you can kind of wear on your shirt. There's kind of a way to, you know, magnetize it and wear it around. There's the rabbit R1, which is this little, you know, cute little orange thing with a scroll wheel and you know, animated bunny, but, but same thing. So I'd say the humane AI pin in the rabbit R1 are pretty, pretty closely, pretty closely related in terms of, you know, feature set and functionality and kind of the, the main features. And then you also have the, the meta AI Ray Bans, which, you know, shout out to our winner. I already emailed her, we'll be shipping those out here soon. But we, hey, we gave away these meta Ray Ban glasses to celebrate our one year anniversary. So I'd say these are probably the three big devices right now with wearables you know, there's more. And we're going to talk to some others, talk about some others, but a couple things to keep in mind here. One is price, right? I mean, even just the humane AI pin is $699 with a $24 monthly subscription, which is fairly steep. The rabbit R1, I think, is a little more affordable, $199. I don't believe it requires a monthly subscription. And then you also have the Meta Ray Bans as well, that are three that start at $300. So here's essentially what they do. You know, it's, it's more or less two things, right? Like a lot of these wearables, there's, there's two different categories. I, I do think these three are probably the most popular. The humane AI pin, the rabbit R1, and the, the Meta glasses. But there's, there's others, right? So you have the, the Limitless, their kind of pendant there, which used to be called the Rewind. So you have the Limitless kind of AI device there, which this one is. This one is a little different, right? So the first three that we talked about, the humane AI pin, the rabbit R1 in the ray Ban Meta glasses are all. They have the capabilities of vision, right? So more or less computer vision, right? So which is important. And we're going to talk about that here. And then I do think have this other kind of, this other breed, such as the Limitless pendant and other pendants that you can either clip on yourself or wear them as a necklace. These ones don't have a camera, don't have vision, whereas the first three do. But these ones are more. Their main feature set, their main capabilities is to constantly listen in on your conversations, transcribe everything, and then it just kind of acts as a second brain. So then a lot of these devices then have a companion app, at least more of the, you know, the pendants, the necklaces, the wearables, you know, they essentially record conversations all day. They transcribe them, and essentially it's a second brain. You can talk to a companion app or in sometimes, you know, also click, right, so you could click and, you know, talk to them as well. So think of it like as a hopefully smarter Siri or a large language model, connected Siri. That's another huge benefit to these, is, you know, you can talk to these models both like you would a smart assistant, like a Siri or an Alexa, except hopefully it's much smart, much smarter because they're all, you know, tapped into a large language model, most of them using OpenAI's GPT4 API. So, so having that capability to have kind of the convenience and the accuracy of a large language model wherever you go. And then like I said, the first three then combined with, you know, computer vision. So there's great capabilities. Some of them also can perform actions on your behalf. Right? So that was the big kind of marketing angle of the, of the rabbit R1. It was, they called it a large action model to where you could kind of train it to perform actions on your behalf. And then one or two of those pendant types can do that as well. So there's kind of this, this different category of things that they can do or can in theory do. But you know, it can record your day, take pictures, see, you can talk to it like a smart assistant. All right, I don't want to go through every single, you know, every single wearable. But you know, essentially they, they fall into those two, two and a half categories, right? So it can see and interact with it, you can speak to it like an assistant and it can also, you know, some of them can record, more or less record and transcribe your conversations. So it's, it's, it's just a running collection of, of your day, right, that you can talk to. So I'm curious for our live stream audience and thanks for tuning in or, you know, hey, even if you're on, you know, the podcast, hit me with an email, let me know, check the show notes. I always put a, put a link back here to the live stream and also, you know, you can reach out via email as well. But I'm wondering what is your take on all these AI powered devices? Are you A, are you very excited and are you going to buy multiple of these, you know, AI wearables? Are you B, pretty excited and maybe you'll buy one C, not really excited and might not buy any or D not at all excited and you're definitely out, right? So I'm curious, are you, are you A all in, are you D all out or are you something in between to our live stream audience? You know, I'd say even for myself, I'm probably between a B and a C. I'm a, I'm a realist, right? I love technology, I love devices. I obviously love AI because I talk about it every day, right? So which is why as an example, when the Apple Vision Pro was announced, you know, everyone in my DMs and emails, you know, friends are like, oh, Jordan, like you have to be all in with this New Apple Vision Pro and I'm like, absolutely not. No, it's terrible, right? I, I literally had a show, you know, a couple days after it was officially announced. I think it was called the AI powered device that no one needs. Right. And then obviously you saw the reports over the last couple of weeks that it's been a disaster. The Apple Vision Pro has been a disaster. It was a lot of hype. They had to scale back production. Their stock is taking a hit because of it. And I think for the most part I'm on the same train, at least right now with these wearables. You know, I think that their products looking for a problem to solve. So more on that later. But I'm curious here for our livestream audience. So Michael Joining us from YouTube says we'll think about it when the battery life is much better. Yes. These things, these wearables right now don't have the best battery life. Most of them you have to charge at least once a day, multiple times a day. At least those that have more of the vision capabilities, I believe, you know, a lot of the kind of pendants or necklaces have a little bit longer of a battery life. Harold, Harold. I think I'm similar to what Harold is saying here, said I will wait for the second version. Yeah. For these I would not be someone getting on the first version yet. Terrace Tara's super excited, woozy says B for some, for sure. Get some glasses, goggles. But I'm just waiting for my personal robot. Don't really want to wear it yet. So I think there's various levels of, of excitement in the kind of AI or technology community about these devices. Me personally, I'm not all in, but like I said, essentially these, this new kind of wearables, AI wearables category falls under one of two. One of two categories, right. Or a combination of the two. Either it has computer vision, yes or no. Right. So humane pin rabbit r1 meta ray bans all have computer vision and all those three are also have a large language model connection. Right. Meta obviously uses the Llama 3 model and then you have the other ones tapping into OpenAI and then you have your pendants. Obviously they don't have computer vision, but they all have voice recognition and then a large language model connection. So you know, think of how often. Right. Which, which I get the, the potential benefits. Right? Because there's times, all the time when I'm like, oh, okay, you know, it would be great to, you know, be able to have chat GPT or I'm, I'M across the room and talking to Alexa or talking to Siri and it's terrible, right? And the responses are terrible. And I'm like, man, I wish I could just do this with Chat gbt. So I mean there's a little bit. But is that that important right now, right? Or are we just hoping that, you know, Siri, Alexa and you know, our current smart assistants get better? Right. And the biggest thing is here, here is do we need a whole nother device for these, right. Can't a lot of this functionality, I mean a lot of it already just exists in a smartphone, right. I can quickly, in five seconds, literally five seconds. Most of the day my phone's in my pocket, even though I never check it, you know, so but within five seconds I can pull out my phone. I have Chat GBT app right there on the home screen, long, press it, open it, take a photo, hit upload, right? An extra 5 seconds is an extra 5 seconds worth $700 to, to carry around an extra device in a humane pin or in a $199 rabbit R1 like to me, again, having a whole separate device doesn't make sense. If there had to be one of these, that I would be like, oh, okay, there's, there's some utility, there's some potential. My thought would be the, the meta Ray Ban glasses, right? Because it's not a completely new category, right. The Ray Bans are great sunglasses. I love Ray Bans, right. And I'm pretty sure you can get them just more of the, the glasses type too. I, I've seen online a lot of people are just kind of putting their own lenses in there or just putting clear lens and you know, wearing them around as a fashion statement. But yeah, they, they have a somewhat noticeable, you know, camera. And when you are recording, luckily, because we do have to talk about privacy, but when you're recording on those, luckily there's a light. But for the most part, you know, you can wear those around, you know, if, if you generally wear normal glasses, sunglasses. I have a pair of Ray Bans that look exactly like that. So for me it wouldn't be too out of the ordinary or it wouldn't be too much extra strain if I wanted that extra feature and functionality. Right. Like I recently took, took some trips in another country last month. I think it would have been cool in some instances to just have those Ray Bans on. I had sunglasses on. I think I was probably wearing Ray Bans anyway. So it would have been cool to say, you know, hey, meta, what's this or hey Meta, where's the closest coffee shop? Or you know what, what landmark am am I looking at? Right? Like so some of those things might have been kind of cool, but again, can just pull out your phone two seconds. So at least for me, I think these are all products looking, just looking for a problem to solve. So I mean, that's my take. But what's been the public reaction so far? Right, because who cares what I say? What about all these smart tech reviewers? All right, so let's look at some of the early reviews so far. So this was from the Verge. It said, Humane AI pin review. Not even close. For $699, 24amonth, this wearable computer promises to free you from your smartphone. There's only one problem. It just doesn't work. It gets worse. All right, ready? Washington Post review. I've been living with a $699AI pin on my chest. You probably shouldn't subhead here says dedicated AI gadgets are here, but I'm not sure about living with them yet. All right, digital trends here on the rabbit R1. The headline. I spent four days with the AI gadget of the future and it was a mess. All right, another review here. This one. Ouch. All right, so this was Gear Patrol talking about the humane AI pin. It said the first major AI gadget launch in history is a dumpster fire. Ouch. Right, so it hasn't been a great reception yet. Right. A lot of early reviews said that these felt like half baked products. It felt more cumbersome than convenient. Right. And I have reasons that I believe that this is happening. But also this isn't for a lack of time or lack of money. It's not like there was, you know, this, this large language model popped up, you know, two months ago and someone launched a Kickstarter and you know, a bunch of kids, you know, went in their garage and you know, put put together a product. That's not how this was. Right. So even specifically on the humane AI pin, right. It's their, their vision and their product has changed a lot over the years. But this company was first launched six years ago and they raised $230 million. Let me say that again. Six years, $230 million. And let's look at some of those, those early reviews. Right. The first major AI gadget launch in history is a dumpster fire. This one the Washington Post. I've been living with a 699ai pin on my chest. You probably shouldn't. So it's it's not for a lack of time or money. Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on gen AI. Hey, this is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft and Nvidia have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen AI. So whether you're looking for ChatGPT training for thousands or just need help building your front end AI strategy, you can partner with us too. Just like some of the biggest companies in the world do. Go to your everydayai.com partner to get in contact with our team or you can just click on the partner section of our website will help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on gen AI. So here's, here's my, my big question, right? And I'm going to answer this, but also, hey, for our live stream audience, I'd love to hear your answer. Is this just a lot of VC money and a lot of hype looking for a problem to solve? What do you think? Right, because there was a period, there was a period, I'd say about two years ago, you know, right, right around the launch, so maybe a year and a half ago, right around the launch of chat GPT. So I will say early 2023, if you even had a demo, if you even had a decent pitch deck, right, of anything related with AI, anything generative AI, any large language model, I mean, my gosh, if you had a working product, even if it was just a wrapper, right? So we even talk about these hardware products here, these AI wearables, if I'm being honest. Some of them are just glamorized wrappers, if I'm being honest. Right? So a wrapper is essentially when you use a big company's base technology, like you're using OpenAI's GPT and you're tapping into their API, right? And they have a vision API and they have an audio API and the, the big companies do as well, your, your Googles, your anthropics for the most part, right? So a lot of these early AI startup companies were just dedicated rappers, right? It's, it's like, oh, what's Your technology? Oh well you know we have, we have this, we have that, we have this UI UX, this, this customer. Oh, so you, you just use OpenAI's API. Oh you just use GPT and you put some nice UI UX around it and you pre program some prompts and did, did a little bit of fine tuning, right? I mean you literally had AI quote unquote software companies launch in the weekend and raise tens of millions of dollars. Because a lot of VCs out there have no clue what they're doing. They have no clue what they're talking about, right? Some VCs and private equity companies do, and angel investors do, don't get me wrong, but you still have a lot of uneducated people in vc, in, in the venture capital, in private equity that hey, if, if it says AI on it, if it says large language model and if you have someone legit on your team, oh you have X Google on your team. Oh you have X X Meta on your team. Oh x x OpenAI. Right? OpenAI has been around for eight years, seven, eight years now, right. So a lot, a lot of companies, that's all it took, you know, for, for early gen AI SaaS, startup companies, you know, large language model companies, that, that's all it took. And I think the same is kind of holding true for these wearables, right? You get someone that has some kind of name recognition or they look like Steve Jobs, right? And my gosh, the marketing, the marketing around these products, it was literally like they, they were trying to copy and paste the iPhone announcement, right? Even down to the clothes they're wearing, down to the camera, the, the, the shots, the over exaggerated storytelling. I mean you would think this was the, the invention of the Internet, smartphone and cloud computing all in one. And it's just a hardware device. It is a hardware wrapper in a lot of instances, right? Oh, here's computer vision in a large language model in a device and millions of dollars in development and all the hype in the world. And what is, is a device looking for a problem to solve? It is hype. It is money trying to be the next big thing. But is it, I mean, is it again, I think that there's great, I think there's some great capabilities for some of these things, right? Don't get me wrong. As an example, Meta Ray Ban glasses being able to, you know, people who have vision problems, right? That's great. Hey, what am I looking at? You know, Wait, yeah, where is the, the nearest coffee shop, right? If you have vision Problems? Sure. Is there a, an element of the rabbit R1 that can perform an action for you or some of these, you know, these more pendants, these, these wearables that can record a conversation, can transcribe them, can perform an action for you on your behalf, you can program them to perform actions. Is, is there some, some utility there? Sure. But you, you have to go back and say, what actual problem is this solving that can't already be solved with our current devices, with what technology, with what hardware we currently have available to us, right? Because when you look at all the recent tech advancements, right? You look at PC, the personal computer, right? It solved the problem and it provided unique value. The Internet solved the problem, it provided unique value. Cloud solved the problem, provided unique value. Mobile phones solved the problem, provided unique value. Generative AI solved the problem, provided unique value. AI wearables, looking for a problem, searching for unique value. Because again, so many of these capabilities right now we already have. We already have. That's the thing that I think people don't understand. I think there's this, this thought or this concept out there and there has been for a while that, oh, you know, smartphones have been around for so long. It is only human nature. It is the tech cycle that, you know, in theory, cell phones have to be phased out, right? Just like the, the PC or desktop computer is going to be phased out, right? Like we've been hearing that for, you know, since the laptop came out and since smartphones, it's like, guess what, y', all, I'm currently on a, on a desktop computer, right? They're not phased out. I got, I'm, I'm, I have a, two desktop computers. So I think people are running and assuming and they're just grabbing this shiny object that is AI, that is generative AI, that is large language model. And they're just putting it and packing their hopes and prayers and dreams and VC money into a, into a new shape and saying, oh, smartphones are going away. Smartphones aren't going away, period. Right? Is there going to be a brand new dedicated device category? I don't think so. I still think these AI wearables, these AI pieces of hardware are looking for a problem and searching for unique value, right? Also, there is a big problem. I started the top of the show with this. I'm not going to leave you hanging. I kept you, kept you waiting this long. There's a problem that no one's talking about. That problem is Johnny Ivey and Sam Altman. So the duo Johnny Ivey Is, you know, famed Apple designer, I feel I always mispronounce his name. And Sam Altman are reportedly teaming up to create an AI hardware company. Right. So you have the famed Apple designer and the face and name of generative AI in Sam Altman. I mean, this is like the, the, you know, MJ and Babe Ruth combining, right? I know that's different eras there, but you have the greatest of the two different worlds, the, the greatest of the hardware world on the hardware side. And then you have the greatest person on the, you know, kind of software or AI, generative AI, large language model side combining and reportedly raising $1 billion. I know, I kind of just repeated. Right. The same problematic themes, right? Hey, you get a smart, smart person, combine them with money and you know, they're going to go out and, you know, create something and you shouldn't pay attention to it. But in this case, they're just going to squash everyone else. You know, they are. In the same way that OpenAI is literally steamrolling all of these AI rappers, all these generative AI, oh, here's our, you know, here's our platform. They're gone now. I had a show in, I don't know, October. I said all these, you know, all these AI startups are going to die. Guess what happened in November? OpenAI had a huge release and you had hundreds of these quote unquote AI startups, many of them that had raised seven figures or more. They're all gone now, right? Whenever if Johnny Ivey and Sam Altman actually come out with an AI powered device and they actually raise a billion dollars, even if it's good or not, all that, these other dozen or so, you know, hardware, AI wearable companies, they're going to get squashed. Let's, let's be honest, let's be honest here, right? And the other huge elephant in the room, Apple, right. What about our devices that we already have? Or what if a big company, an Apple, you know, I know Samsung is coming out with like a smart ring, you know, but Apple already has patents, kind of an audio patent on a necklace, they have a patent on a smart ring, right? A certain patent for a certain smart ring. So what happens then when the big tech companies, right, or my, my Apple Watch or you know, your kind of what you're already using, what you're already wearing. What happens when the Apple Watch just can hear better and it can transcribe everything and there's a camera, not that I need it, right. Because I have a smartphone. So couple. Yeah, like Juan saying Wow, that is huge. I think that is where the focus should be. Optimizing the mobile phone. Yeah, absolutely. Tanya, Tanya. I love this Tanya saying, maybe next time I'll get it if it's scented with my favorite perfume. Douglas here with a great comment. Yeah, Remember Google Glass a decade ago? Yeah. We've already been through this cycle. Cycle, Google Glass. I feel bad. This is a great product, you know, 10 years ahead of its time. You know, now you have the Google Glass next or whatever it's called. But yeah, this has already been attempted before. You know, people have been attempting to get rid of smartphones for a long time. And you could argue that smartphones are arguably one of the most important pieces of technology in human history. Right. Obviously you first needed the, you know, the Internet and the personal computer, but those are the shoulders, the mobile, the mobile phone is standing on. Do we need to get rid of the mobile phone? I don't know. It's the same way we've been talking about for decades. Traditional cars are going away, flying cars, new modes of transportation. Right. People have been trying to get rid of the car for, for so many years. You know, robo taxis and, you know, essentially, you know, drones that carry humans. It's like, all right, are there problems with cars? Yeah. Is the trade off of these other, you know, vehicles worth it right now? Are they feasible? Are they logical? I don't know. Probably not. At least not right now. And you have to think the same thing, the exact same thing for these AI wearables. So we'll wrap up today's show with this. All these AI powered devices, the AI wearables, do we actually need them? No, I don't think we do. I think for the most part they are devices, a category looking for a place to belong. They're looking for a solution and a lot of times they're just VC backed, private equity backed startups just trying to cash in on hype. They see the money, they see the money that's driving, right? They're looking at Meta's stock soaring, they're looking at Google stock rising. They're looking at Microsoft's stock skyrocketing. They're looking at Nvidia, right? And all these companies, what do they have in common? They're all playing in the generative AI space, in the GPU space, in the large language model space. Right? So every other, you know, it's, it's actually hard for startups out there, product startups, software startups that don't have heavy AI, that don't have generative AI that don't have large language models. So this is where the attention, this is where the money is shifting. Hey, vc, private equity, stop investing. Stop investing in these products, right? Don't invest. Let's not put our hope in to, you know, these, these products and pieces of software looking for a solution. This isn't it. No, we don't actually need them. They might be cool, they might have a little utility, they might help some people, but they are not altering technology. Sorry, y'. All. All right, that's it. I hope this was helpful. If you're listening on the podcast, we appreciate your support as always. Please leave us a rating. Please share this with your friends if you're listening on social media. Thank you. Leave a question. I'm going to try to go through. Answer any questions I didn't get to. But please also, if this was helpful, consider sharing this with your friends. Tell your friends about it. This is what we do here at Everyday AI. We bring a great community of very smart business leaders from across the world here to talk about the issues of the day, to hopefully learn together, grow together. So thank you for doing that. Thank you for tuning in. And we'll see you back later for more Everyday AI. Thanks, y'. All.

And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going for a little more AI magic. Visit your everydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.