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

Episode Categories:

The Rise of AI-Powered Devices: A Necessity or a Trend?

Artificial intelligence is sweeping across various industries, leading revolution in application from smartphones to wearables. Lucratively funded by venture capitalists and industry giants such as Meta, Google, Microsoft, and Nvidia, startups advancing AI technology are catching investors' eyes. However, this exponential development prompts us to pose an essential question - are AI-powered devices that much necessary, or are they a solution in search of problems?

AI devices and wearables, though innovative, have raised fundamental debates on their necessity and functional value. They promise enhanced user interaction through computer vision capabilities and conversation recording and transcription, but are they really that superior to the traditional technology we have? It's like comparing new modes of transport with traditional cars, where the need for the newer technology is still up for debate.

Focus on AI wearables has been accentuated further due to a surge in products like the Humane AI Pin, Rabbit r One, and Ray Ban Meta Glasses. These combined with "second brain" devices like the Limitless Pendant are widely renowned for their tech features. But early market reviews argue otherwise, calling these AI gadgets "dumpster fires" and questioning their usability.

AI Wearables vs Smartphones

Most AI-powered devices have accompanying apps and are linked to substantial language models like the OpenAI GPT-4 API for improved interaction. However, this leads to the contention - can't their functions be integrated into existing smartphones? If smartphones can handle advanced tasks, is there a pressing need for separate AI devices that could potentially incur additional costs and maintenance?

Startups in the AI Space: Innovation or Duplication?

It is imperative to scrutinize the role of startups in the AI industry. Are they leading innovation or simply riding on the success of industry leaders? The race to put out the next big AI product has seen startups over-fund and under-deliver, negatively impacting the market and investor sentiment. Critics argue that many startups are leveraging technology developed by giants, merely enhancing the design without substantive innovation.

The Verdict: Awaited Improvement or Emerging Skepticism?

Notwithstanding negative early reviews or debates surrounding the actual utility of AI-powered devices, there exists a segment of early adopters who see potential in these gadgets. However, this segment remains wary of battery life and the scope for improved versions, necessitating companies to focus on these issues if they wish to secure a more substantial market share.

So, are AI-powered devices and wearables an unnecessary hype, or are they genuinely transformative? As industry leaders and businesses continuously grapple with this question, only time will reveal the true narrative behind these advancements.

Topics Covered in This Episode

1. Evaluation of specific AI wearables
2. Concerns and skepticism about AI wearables
3. Impact of big tech companies on AI wearables
4. Debate about the functionality of AI wearables

Podcast Transcript

Jordan Wilson [00:00:16]:
Will these AI powered wearables take over the world? Just in the last few weeks, we've seen the public release of 2 high profile AI wearables in in the humane AI pen and the rabbit r one. 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. Alright. We're gonna 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.

Jordan Wilson [00:01:14]:
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 everyday with AI news. And as a reminder, if you're driving or, maybe for some reason you're you're a avid podcast listener or avid livestream, audience, which I thank you for that, but you gotta become a loyal newsletter subscriber. So make sure to sign up at your everydayai.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.

Jordan Wilson [00:01:52]:
Written by a real human, me. I'm a real human. Alright. So let's go over the AI news for the day of May 3rd, 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 and 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, Google's Gemini, Mattis Lama, GPT 4, Claude, Mistral, etcetera. So the challenge is running now until August 5, 2024 and aims to advance the evaluation of large language models.

Jordan Wilson [00:02:40]:
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, Mattis Lama, GPT 4, Cloud, 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. Alright. Next, JP Chase has kind of released a new model, not for everyone. But JPMorgan Chase and Company has announced the launch of index GPT, a new tool powered by OpenAI's GPT 4 model that creates thematic investment baskets by scanning news articles for keywords associated with a specific theme. So, JPMorgan 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.

Jordan Wilson [00:03:50]:
Right now, the product is designed just for 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. Alright. We actually have 2 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, Open AI may be planning to launch a search engine instead of a flagship model and upcoming events 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 is the rumored date.

Jordan Wilson [00:04:30]:
So, nothing confirmed there. This is very much a rumor, but, the tie 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. An important date. Right? That that May 9th, kind of leak as Google is scheduled to hold its annual developer conference on 14th May. So OpenAI may be motivated to build a search a Google search alternative due to some people now just using chat gbt like a search engine. Also important to know that Sam Altman, OpenAI CEO, did say something relevant on this at 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.

Jordan Wilson [00:05:14]:
I would love to go do that. Also, at that point, the OpenAI search product had already been wide group widely reported, as we even talked about it, here the month prior in February. That's why you gotta read every day. Alright. 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 US 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 involving AI landscape. So the emails also emphasized the timeliness of their decision to invest in OpenAI, reportedly bridging the gap and accelerating the integration of advanced AI technologies like GPT 4 into Microsoft products.

Jordan Wilson [00:06:20]:
Alright. A lot of news. So we have more. Make sure to check out your everydayai.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 gonna stop using or stop needing mobile phones? Right? Are we just gonna be using these AI wearables, these new AI devices? It's a it's a brand new class.

Jordan Wilson [00:06:47]:
Right? So so let's let's talk about them quick, and we're gonna go over them in a little bit more detail. But I wanna 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, 3 to 5 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 r one, 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 and the rabbit, r one are pretty pretty closely pretty closely related in terms of, you know, feature set and functionality, and kind of the the main features. And and then you also have the, the meta, AI Ray Bans, which, you know, shout out to our winner. I already emailed her.

Jordan Wilson [00:07:45]:
We'll be shipping those out here soon. But we hey. We gave away these Meta Ray Ban glasses, to celebrate our our 1 year anniversary. So I I'd say these are probably the 3, big devices, right now with with wearables. You you know, there's there's more, and we're gonna talk to some others, talk about some others. But, a a couple things to keep in mind here. One is price. Right? I mean, even just the the the humane AI pin is $699 with a $24 monthly subscription, which is fairly steep.

Jordan Wilson [00:08:20]:
The Rabbit r one, I think, is a little more affordable. A $199. I don't believe it requires a monthly, subscription. And then you also have the, the Meta Ray Bans, as well that are, 3 that start at $300. So here's that's actually what they do. You know, it's it's more or less 2 things. Right? Like a lot of these wearables, there's there's 2 different categories. I I do think these 3 are probably the most popular.

Jordan Wilson [00:08:51]:
The humane AI pin, the rabbit r one, and the, the meta glasses, but there's there's others. Right? So you have the, the limitless, they're kind of a 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 r one, and 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 gonna talk about that here. And then I do think you have this other, kind of this other breed such as the the limitless pendant and, you know, other pendants that you can either clip on yourself or wear them as a necklace. These ones, aren't don't have a camera, don't have vision, whereas the first three do. But these ones are more, you know, their their main feature set, their main conversations.

Jordan Wilson [00:09:57]:
Right? 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 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.

Jordan Wilson [00:10:44]:
Most of them using open AI's, GPT 4, 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, r one. 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 1 or 2 of those pendant types, can do that as well.

Jordan Wilson [00:11:21]:
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. Alright? I don't wanna go through every single, you know, every single wearable, but, you know, essentially, they they fall into those 2 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 livestream audience, and thanks for tuning in. Or, you you know, hey. Even if you're on, you know you know, the podcast, hit me with an email.

Jordan Wilson [00:12:06]:
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 1? 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 livestream 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.

Jordan Wilson [00:12:49]:
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 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 a couple days after it was officially announced. I I I think it was called, the AI powered device that no one needs.

Jordan Wilson [00:13:18]:
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 I think that their product's looking for a problem to solve. So so more on that later, but, I'm curious for here for our our livestream audience.

Jordan Wilson [00:13:44]:
So Michael joining us from YouTube says, we'll think about it when the battery life is much better. Yes. These 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.

Jordan Wilson [00:14:10]:
For these, I would not be someone getting on the first version yet. Tara's 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 wanna 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 1 of 2.

Jordan Wilson [00:14:44]:
1 of 2 categories. Right? Or a combination of the 2. Either it has computer vision. Yes or no. Right? So humane pin, rabbit r one, meta ray bans, all have computer vision, and all those 3 are also have a large language model connection. Right? Meta obviously uses, the, LAMA 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.

Jordan Wilson [00:15:15]:
So, you know, think of how often. Right? Which which I I 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 you know, be able to have chat g p t here. I'm I'm across the room and talking to Alexa or talking to Siri, and and it's terrible. Right? And the responses are terrible. And I'm like, man, I wish I could just do this with chat gpt. 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.

Jordan Wilson [00:15:47]:
Right? And the biggest thing is here here is do we need a whole another 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 5 seconds, literally 5 seconds. Most of the day my phone's in my pocket even though I never check it. You know, so but within 5 seconds I can pull out my phone, I have chat gpt app right there on the home screen. Long press it. Open it. Take a photo. Hit upload.

Jordan Wilson [00:16:16]:
Right? An extra 5 seconds. Is an extra 5 seconds worth $700 to to carry around an extra device in a in a humane pin or in a $199 rabbit r one? 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 Bans glasses. Right? Because it's not a completely new category. Right? The Ray Bans are great sunglasses.

Jordan Wilson [00:16:48]:
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 kinda 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 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 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.

Jordan Wilson [00:17:28]:
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?

Jordan Wilson [00:17:49]:
Like, so some of those things might have been kinda cool, but, again,

Jordan Wilson [00:17:53]:
you can just pull out your phone 2 seconds. So, at least for me, I think these are all products looking just just looking for a problem to solve. So so, I mean, that's that's my take, but what's what's been the public reaction so far? Right? Because who cares what I say? What about all these, you know, smart tech reviewers? Alright. So let's 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 $699.24 a month, this wearable computer promises to free you from your smartphone. There's only one problem.

Jordan Wilson [00:18:29]:
It just doesn't work. It gets worse. Alright. Ready? Washington Post review. I've been living with a $699 AI 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. Alright.

Jordan Wilson [00:18:49]:
Digital trends here on the rabbit r one. The headline, I spent 4 days with the AI gadget of the future, and it was a mess. Alright. Another review here. This one. Ouch. Alright. So this was Gear Patrol.

Jordan Wilson [00:19:05]:
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 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 or lack of money. It's not like there was, you know, this this large language model popped up, you know, 2 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.

Jordan Wilson [00:19:55]:
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 6 years ago, and they raised $230,000,000.

Jordan Wilson [00:20:10]:
Let me say that again. 6 years, $230,000,000, and let's look at

Jordan Wilson [00:20:15]:
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 $699 AI pin on my chest. You probably shouldn't. So it's it's not for a lack of time or money.

Jordan Wilson [00:21:17]:
So here's here's my my big question. Right? And I'm gonna answer this, but also, hey, for for our livestream audience, I'd love

Jordan Wilson [00:21:41]:
to hear your answer. Is this just a

Jordan Wilson [00:21:45]:
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 2 years ago. You know, right right around the launch, so so maybe a year and a half ago. Right around the launch of ChatGPT. So I will say early 2023. If you even had a a demo, if you even had a decent pitch deck, right, of of anything related with 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, these hardware products here, these AI wearables. I I I'm being honest, some of them are just glamorized wrappers, if I'm being honest.

Jordan Wilson [00:22:37]:
Right? So a wrapper is essentially when you use, a big company's based technology, like you're using OpenAI's, GPT, and you're tapping into, their API, right? And they have a a vision API, and they have an audio API, and the 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 custom 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 preprogram 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 raised tens of 1,000,000 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.

Jordan Wilson [00:23:41]:
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 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 8 years, 7, 8 years now. Right? So a lot a lot of companies, that's all

Jordan Wilson [00:24:07]:
it took. You know, for

Jordan Wilson [00:24:09]:
for early gen AI SaaS start up 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.

Jordan Wilson [00:24:53]:
Right? Oh, here's computer vision in a large language model in a device and 1,000,000 of dollars in development and all the hype in the world and and what is it? It is a device looking for a problem to solve. It is hype. It is money trying to be the next big thing.

Jordan Wilson [00:25:13]:
But is it? I mean, is it I

Jordan Wilson [00:25:16]:
I I 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 band 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 the nearest coffee shop? Right? If you have vision problem, sure. Is there a an element of the rabbit r one 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.

Jordan Wilson [00:25:51]:
You can program them to perform actions. Is is there some some utility there? Sure.

Jordan Wilson [00:25:56]:
But you you

Jordan Wilson [00:25:57]:
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

Jordan Wilson [00:26:08]:
to us? Right? Because when

Jordan Wilson [00:26:10]:
you look at all the recent tech advancements, right, you look at PC,

Jordan Wilson [00:26:16]:
the personal computer. Right? It solved the problem, and it provided unique value. The Internet solved the problem. It provided unique value. Cloud solve the problem, provided unique value. Mobile phones, solve the problem, Provided unique value. Generative AI. Solved the problem.

Jordan Wilson [00:26:45]:
Provided unique value. AI wearables, looking for a problem, searching for unique value. Because again,

Jordan Wilson [00:26:55]:
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 it is the tax 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.

Jordan Wilson [00:27:29]:
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 2 desktop computers. So I think people are 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 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.

Jordan Wilson [00:28:22]:
I I started the top of the show with this. I'm not gonna 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 Ivy and Sam Altman. So the duo, Johnny Ivy 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.

Jordan Wilson [00:28:54]:
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 and Babe Ruth combining. Right? I know that's different eras there, but you have the greatest of of the 2 different worlds. The 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 a $1,000,000,000. 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 they're gonna go out and, you know, create something and you shouldn't pay attention to it. But in this case, they're just gonna squash everyone else.

Jordan Wilson [00:29:42]:
You know, they are. In the same way that OpenAI is literally steamrolling all of these AI wrappers, all these generative IO. 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 gonna die. Guess what happened? In November, OpenAI had a huge release, and you had 100 of these, quote, unquote, AI startups. Many of them that had raised 7 figures or more, they're all gone now.

Jordan Wilson [00:30:08]:
Right? Whenever if if if Johnny Ivey and and and Sam Altman actually come out with with an AI powered device and they actually raise a $1,000,000,000, even if it's good or not, all that these other dozen or so, you know, hardware, AI, wearable companies, they're they're gonna get squashed. Let's let's be honest. Let's be honest here. Right?

Jordan Wilson [00:30:28]:
And the other huge elephant in the room, Apple.

Jordan Wilson [00:30:33]:
Right? What about our devices that we already have? Or what if a big company, an Apple, you know, I know Samsung is 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.

Jordan Wilson [00:31:22]:
Yeah. Absolutely. Tanya. Tanya, I love this. Tanya is 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.

Jordan Wilson [00:31:34]:
We've already been through this 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. But, 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.

Jordan Wilson [00:32:10]:
Do we need to get rid of the mobile phone?

Jordan Wilson [00:32:12]:
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, alright. 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 I don't know. Probably not.

Jordan Wilson [00:32:43]:
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?

Jordan Wilson [00:33:05]:
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

Jordan Wilson [00:33:20]:
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 stock soaring. They're looking at Google stock rising. They're looking at Microsoft 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 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.

Jordan Wilson [00:34:06]:
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.

Jordan Wilson [00:34:26]:
We don't actually need them.

Jordan Wilson [00:34:28]:
They might be cool. They might have a little utility. They might help some people, but they are not altering technology. Sorry y'all. Alright.

Jordan Wilson [00:34:40]:
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 gonna try to go through, answer any questions I didn't get to.

Jordan Wilson [00:34:55]:
But please, 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.

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