Hello, everyone! We're on ToTheMoon. Technological news, Silicon Valley sites. We're going out every Sunday. We're always four people. Forty-fifth issue.
A lot of people with money. Different technologies are starting to invest. Everyone should be scared to invest in the models.
But why are you missing a race in search?
The level of AI implementation in B2B is like zero.
AI is attached to any product. A man spits on her, comes in and forgets. Where's AI?
How do you compete with them? What kind of start-ups do people do?
I have a two-year-old know that these are the packages.
Ruyan Likun says that in the horizon, everything will change in five years.
We're here, so we're sitting here talking about technological different news. In fact, the first two weeks of January, it felt like they just put up a flaming-up, and then the top after the inauguration of the Temps, they'd all put up hundreds of billions of dollars. And when these numbers came, hundreds of billions of dollars. And now Facebook has said that we should be rolling, spending hundreds of billions of dollars. Google said that there would be hundreds of billions of dollars to do something normal. OpenAI Sam Altman wrote again that hundreds of billions of dollars are needed to create AGI. It's like that when you see the news that some start-up is worth billions or someone has been given $100 million, or $30 million has been invested in it. You think that's probably not interesting news. What's the story to tell about her and what's the whole thing to talk about? They probably can't do anything at all. I mean, I'm going, I'm sorry, I'm starting a year with super explosive stories like that, including technological breakthroughs. And then it's so stubborn, like in the market of simple debates, you look like this, so, like, let's wait for something super big, huh? Especially since Sam Althman put his essay on the other day, which wrote that AGI would still be unavailable and we'd be putting it down gradually, a little bit. And in fact, he'll be accessed depending on who the money is going to be. And the artificial intelligence of some people is firing too many people, and people are slowly getting down.
And you have to be careful with that, so you're gonna watch it.
100 percent. Yeah, there's probably a few points here, yeah, first of all, surprise-- a few points. That's amazing, on the one hand, it would seem like everyone should be scared to invest in the models, you know, because DeepSeek would have copied, right? And this Super Safe Intelligence is about to raise the score of twenty billion. At the Mira launch, Mira Murati took John Schulman, this is the OpenAI cofaunder, to his own launch. And John Schulman was in Antropic for months. And they also have an estimate that a billion, two billion is the first round of investment, right? They don't make a foundational model, they just, they do something, and they just do some agents. And that's amazing in this, all that crazy assessments are still not going anywhere. And what I'm saying, OpenAI will be raising three hundred billion in the score, so you're closer to that eighty, one hundred and axe multiplier, yeah, that's revenue for a lost cass, a lost cass profiling, right? I mean. So, what, well, the O.R. is not a match for their economy, is it? I mean, despite all this, it's still a de-fashion. And as I am now, for example, my investors in Mellow, they seem to be pushing more and more, so that the standard rusty enterprise of such a great American investor is that as much as the value of all, well, the present value, the unique value you can only get from privatized data, so you need to be carefully integrated, integrated into enterprise, into corporations and so on. But Mellow is very good, isn't it? Because Antropic, the Enterprise Antropic and OpenAI are doing the first place now, and Antropic is very behind consumers. And, of course, now for the start-up enterprise, it's probably a good time now, in principle, to show that they still have access to unique data, so they can deliver unique value.
Look, it's an interesting moment.
Now, I think we've seen a series of applications of these agents, there, deep research, operator, that's all. So we're all seeing this in consumers, we haven't seen anything in enterprise. That surprises me. I mean, there are people who like to hack on this subject. Klarna CEO likes to talk, so that's where eighty percent of the sappaport staff were replaced. And I think the next big info-waters will be about the introduction of agents into enterprise. Somehow, it hasn't happened yet.
I want to tell those who are watching us, we're filming about... Today, we are doing a few episodes about the implementation of the decisions on the market. I wonder if I can see what's going on. What are you seeing in the implementation scenarios so you'd like to be on the company market so that companies can release as soon as possible? Think about it now, write it in the comments. It's gonna be great. During the skate, you write, we'll be talking to you. This is an interesting story.
What you're talking about B2B right now, it's not like you had to spend two years ago in a lot of B2B start-ups, but now. All these people had to do nothing, and now we're gonna start doing a lot of things, trying to use these models, because now there's much more opportunities, even in terms of getting the final. I'm a result. Although, honestly, this is the current development that shows that I have at least once a week been approached to do something about some kind of start-up, something is offered, so we're doing something together, some ideas in different ways. companies. I'm basically always putting it on, because there's this rhythm in B2B, it's so big that we're rhythm in development now, that basically, why do you need to work out four months when you're gonna have a really big change? AI? Or, I think Kun actually said he did and said that what we're talking about now is that these language models are, like, cool, and everybody says they're doing great. Five years later, everyone will forget that use, right? I mean, something else will come up. So we haven't discussed business-related topics three years ago about the introduction of such a toolkit, it just didn't exist as a gift. So everyone thought about some kind of transition-transition story, something else was perfect. No, not what we are now, not what we are. And then there's a pattern of current models. In two years, it's like a little bit of a boiler. Everyone starts to think that we need to put something in B2B. And these serious people say, "Look, we're doing a jail or some other system that is totally different from the current use." What do you think? Or, for example, Head Google said, the head of Google said very clearly that we believe that Google, uh, Google search is being reorientated to AI assystrate. Well, it's weird where you were, right? But why are you missing a race in search? There's a question, and the OpenAI will also lose the race in search, because they, they've been in the last six months, to be honest, I don't see, so they've been annoying search there for six months, so they've been letting something out. I don't see them making any changes.
What's going to happen in this part, too?
I think the introduction is very correct, and it's a moment to invest, it seems to be a B2B launch, it seems now. In the sense that it is now clear that, um, I'll try to explain. So we saw three times we've seen the same-- the same pathterne, four times. One. Before the AI era could be taken by a big model, distilled. They said the models were simple, so they're just distilled. Then we learned to reproduce the results quickly. First, yeah, you learned to reproduce the results of stable diffuse at a cost. So if the first model of the pictures was tens of millions of dollars, then she learned to do it for 100,000, right? Training from scratch is straight. Then you learned to distillate in the way of taking outputs, yes, so, basically, GPT chat, right? And he's got model training. And the same for $50. It was a model of another alpaca, and it was done in Stanford. And recently, Stanford dudes, I think, last week, Stanford, from Berkeley, less than $500 to train a diaper-type model, a-a-a-a-a-box-level diabetic from OpenAI outputs. I mean, now, uh, it seems like all these dates are screws, they're just saying that you need to be developed actively, and, uh, data ingestion layer, right? And that's what I really wanted to talk about, a little bit about, that, well, like, the level of AI in B2B, it's kind of zero. I'll explain why. First, as I'm still leaving Snamchat, I remember, uh, almost two years ago, and, uh, roughly, I remember that we were facing a basic problem, which is, like, a lot of models, we need to get together. How would you have such a complicated matrix, huh? You have different models, and you have different types of query, user cohorts, right? And you want to find a way to do a prom of engineering for different categories of quality assessment. And actually, well, there's some kind of visual designer to collect, yeah, so any sales manager can understand, as a matter of fact, that's what kind of request, like, the user's request.
For example, the user asked how he changed, uh-- what prompt went into one model, then what prompt into another model. And that's how to track down like a travel user, just a user jou-- well, like a user's request, right? Like how he went through all the technical systems so that you could somehow visually disconnect. Because it's still in the natural language, yes, it's happening. Therefore, the internship should be high. And for-- there was a lot of start-ups, like LangChain is so popular, that's for the line, that's for the packing of peeples. And from that moment on, unfortunately, nothing better has come up. And LangChain still has zero use in the sale. So we're actually standard from how to collect, uh-a-a, simple pip-- so-so-soo-soo, uh, paiplines, just, uh, different models' close source never showed up in the open source, or in the close source, nowhere. I don't know. It's really great that we're, like, two years old, uh, all at the same point, though it's obvious that it's necessary now, isn't it? I mean, basically, if the business has a Pipeline, there, on, I don't know, there on OpenAI, yeah, first, well, just a little bit of a business, right? We need to have some fraimvor that'll allow a DeepSeek instead of OpenAI, right? And compare the quality of the OpenAI and DeepSeek model and it's desirable to help on the basis, I'll try to explain now. So the perfect way to any business that's going? I got something on OpenAI, more like a mule. Then I want to take the, I don't know, 10,000 inquiries that are important, which are important, which I like the answers, how the OpenAI responds. Smoke the same with DeepSeek, and make it all more of a little less on the button, yeah, it works. You're just picking up, there, uh, uh, question-and-answer, and you're somehow DeepSeek, there, prompt, sniffing, whatever. And you, and you're like this, plug and play you can change your models. It's a super popular skies. All business. No fucking way. This is a very surprising situation, which, although it is now clear that, uh, uh, I don't know, now, I think the best VC strategy is to invest in all the start-ups that are doing this kind of thing, Because it's gonna be, uh, it's gonna be necessary. And as big players who exist, they can't make their own frimetres, can they? Because theirs, well, as big players, they'll, uh, always write their model, and they'll have to be some, in the idea, a very qualitative, very qualitative solution to the tooling that someone else has made.
No, but here, see, this story is that, uh, how does companies put it in? We can talk a lot about the same pictures that she's cool. Question: Where is it implemented in terms of mere use? And, for example, now, this month Snapchat said that he's making a picture-making show up in his office, and they're gonna be generated, I don't know how much they wrote, in one minute, yeah, they're gonna be generating these. The pictures. Clearly, they'll accelerate this generation. And the question is...
It's on the phone.
And it's gonna be on the phone, yeah. So they're having a light change. Now they're making pictures, but it's a real case.
Why would a man who's in Snapchat want to use his left-hand tuls, so he's using his full-fledged shoes. Instagram, by the way, you know that Instagram in March is producing its full content-building content-- like CapCut was. At least in America, all users have been alerted, right? I don't know how in a world where the warning comes. You're getting in that app, in App Store, you're getting in line with waiting, yes, this app, and it's supposed to come in early March or when, uh, there in mid-March, or when that app is. I sent this personal, even to my team, that reference to waiting, as if, yes? I've got a waiting list for this app down. It's like they're putting in some tools themselves. Or, for example, we're talking Google. So, for me, the question is why Google released this very fast and very good-functioning AI assistant inside, like the summit news when they're synthesizing on your request. He's not all over the world, but, well, he works in the US. Not all the queries, but the system works, and it's better and better. But they didn't do anything else, they didn't do anything else. We were talking about them selling commercials, and they need to change the model. But it turns out that ordinary companies that, like, introduce things to themselves, like Sasha, you've been telling different cases, I just don't see the whole thing about these briefcases. Everyone says we're, like, in our own place, testing the introduction of the AI sales agent. But the question is, who's really putting it in? Or we, for example, out--- in-- test the news, ow, data analysis. But in reality, people have data in a super-dispersed form, in an unnormalized, unaggregated manner, and it is almost impossible for them to work with. And even when they're putting in all the tulls like OpenAI, whatever, or DeepSeek, they're putting them in their own place, they can't work with them, they can't work with these systems inside them. It just happens that if the B2B launch was two years ago and was counting on some simple jazz, now the time has come and just, well, these starttaps, we're talking about a lot of these starttaps. A huge number of start-ups have turned into absolute inconscious and unnecessary, right?
And, uh, we're, uh, getting that in some serious, like, case files, I'm waiting for some pretty serious decisions to be released. And then this is the final decision to take and implement. Now, there was a statement by the OpenAI that they were planning to do, there, in Tokyo, they said that they were planning this venture-- a joint fund to create a trust fund, a separate company to do with the soft bank, and they would be expected to be You're gonna work on these sales, AI sales assistants, right?
And, uh, but that's all, I think, just for now, some of the thoughts that don't lead to real skies. And by the way, in OpenAI, you, Sasha, said today that I'd be there to protect them very directly. But I mean, again, the feeling of the operator and the feeling of deep research, that it's just some kind of time out. Just like the Canvas you put out, or the same as Sora, as they said it was just some kind of thing.
I don't think so. It's just a bar now, well, just a bar in AI product is super low, well, it's super low, right? So you got some food there that-- well, how many new real AI products have been? Well, GPT chat, you know, that's how it was at the beginning, that's how it was, right? I mean, all these deep research, sora doesn't need anyone. This first product was never changed in two, for, uh, two and a half years. Well, Cursor showed up, okay. I mean, what, well, what, you know, for programmers is really, like, super useful, there people connect Anthropic and comfort. What else? It's so... I don't know what else, frankly, what other products have come up. And I think the OpenAI is, too, you know, I think they're swords between, uh, enterprise, not enterprise. I mean, they started with a strong enterprise too. PwC was in their capacity, PricewaterhouseCoopers was a partner at the beginning.
It's been a year, by the way, and it's been a year since PwC.
Last May, we discussed it.
Yeah, but it's not very clear where it goes. Fair enough. And for me, it's just an understanding that what OpenAI opens the office in, and, in Germany, it is, and it's like, mo-to-mouth in my understanding, it's like going into such a hard enterprise, because, uh, from what I know, I mean, how active now, well, in all the medium--- in whatever way it is, it's a big line in the consulting, right? I mean, it's. I mean, I guess that's what you're supposed to do to modernize the whole technical glitch. I mean, Accenture, big three, four, all of it. I mean, modernizing such manufacturing major businesses to introduce generative AI. I mean, that's what was always called cyphro-ciphro-ciphro-fif in a way. I think that, uh, money that the bank is, that's, that's, the revenue that's earned in digitalization, and, uh, it's more than the revenue of OpenAI at once. I feel like I'm gonna have to go to this direction soon. I mean, I'm gonna try to explain why I'm talking about it. Because Inflection AI, for example, has a new guide after they've been sleeping in Microsoft. The new leadership is just the consulates that are engaged in such a heavy enterprise. And I think we will see more and more of these heavy enterprise players and more so solid in terms of how Sierra is simply replacing customer support. I think we'll see more. I think one of the most viable strategies is now, yes, it's a revenue collection from the business consulting, right? So Accenture and others, and try to show it as software revenue.
I think that many companies will have to survive this now because if you're doing a model, any technology, you know, China, well, yeah, like the Chinese, DeepSeek showed that it's very fast depreciating.
And that we still cannot properly call enterprise products, successful use of cases to use these models. It could be just a limitation on current technology. It's just with the current technology that's not gonna work out yet, is it? And here's what Jan Lekun said that, Sas, you quoted him, yes, in two years, about the current LLM, nobody would ever remember their use because, well, yeah, yeah, yeah.
It won't be because, well, it's not good enough. We'll need to invent the next. And that's what we're going for. And then there's a very strange way to look at the current technology, because of hallucinations, because of this statistical approach to the generation of texts, the inability to treat it rightly. The answers that the model gives. So there may be some kind of problem here on this side.
Well, it's true that now, the introduction of artificial intelligence in the company requires that Sasha speak digitalization or automation, standard approaches. I mean, the company needs people who will be doing data analysis, data structure, processes, company design. In fact, everything, as always, is clear using some new tools. But the processes themselves, this whole thing, and the whole complexity that the company had to automate, to make a simple decision, the simple ERP system is simple or simple CRM system, it was as complicated, I'm not. If the company uses two hundred different technology tools, how different operators around the world are, and we know it's been a long time, I don't know, in the purchase of tickets, there, in the bookings of different or different kinds of operators. Big production companies, or Amazon, open up. In Amazon, sometimes you, when you're between services, you see how you change these windows and how much it takes, it's very hard. It would seem like a company that should be super fundamental. Google, in Microsoft, of course it's not just taken, came in, set some kind of a line, so she's got a really good job here. Well, it's just some kind of extra thing. And there's no way to end up thinking about how this is really going to work.
But they said what was going to happen. I would like to mention that Amazon is promising to make a very large anon at the end of February, as regards the statement concerning their addition to Alex. And I think there's a lack of good simple ties in the market or the development of these skies. That's what you said, Sasha, that ChatGPT was not really changing its system. Maybe that's good. He's improved, but he's still getting more quality. It includes some kind of search when you need some data there. He became files, files, files, he's become more data-loaded. So they've strengthened the product they've created. But it's the same skies, it's a fact. I mean, it's basically the same skirt, just a little more sophisticated, coherent in terms of work. But, for example, all the voice-holdings of their castle, which are where the camera is, we don't see that use. So, if you look at the main mass of users, people rarely use the camera and ChatGPT, for example, asking for something. A rare, rare, rare skies. I mean, he didn't become fundamental. We see that Apple, Apple has never been able, this is the tenth of February, and it has not even been able to put some basic stuff inside of us.
But Alex, if, for example, Alex is on his own...
Here, actually, I was gonna say fast, I was gonna say that I was bombing, and it just burns really hard. Iia, when you're going to San Francisco, yes, there's this billboard, 100-first, with it, with hot dogs. And, uh, here. It's just, well, it's like a Gromoj AI plan. But it means, you know, in a youth subculture, we'll take a tuber, yeah, for example. Well, at the hot dog, you know, like a very ambiguous connotation, right? Well, I mean, a lot of people use hot dogs as sexy subtext, shorter. Like, honestly, it's a cryptic AI plan commercial that I'm just, like, this. And if you think about the branding of AI companies, it's all in a very, very bad state. I mean, I've been doing a lot of work recently looking at Facebook commercials like, uh, Tick-Tock, how the AI companies are moving. No progress. Brending, nobody has any commercials. I mean...
So, look at the carnival looks like everything. All the commercials you're in San Francisco, you're up, you're running a commercial in San Francisco just like that, and there's a billboard. Every second billboard is a billboard AI. Why are we giving an example of San Francisco?
Yeah.
Because there's still the largest amount of money in the technology world, in the world, right? The largest amount of money in the world, in the world. And you're getting up, so you're gonna be in there for 50 percent of the commercial. This ad is just absurd. You see her, you think what the fuck? I'm from a mass marketing and sales point of view, just fascinating-- it's amazing to see how it works, yeah.
This is not just billboards, but I think that now a AI is being delivered to any product. A man spits on her, comes in and then forgets, where is AI? Because there's an AI that's gonna arrange your AI daily there, and AI will do it.
Actually, there's no, in fact, this product, like this, is just a very hacky supply to make a good marketing.
Well, it's a good marketing to get, maybe show some fund that you're advertising. Because, however, when OpenAI shows its $14 million Super Bowl commercial, it's probably an adequate marketing. I mean, it's a mass exit. And in reality, it shows OpenAI, by the way, I think that over the past two months, it has made a lot of such serious rates. They're all in the state department, they've been turning to all the scientists, they've started to go into, all the internal programmes that are closed to their tules. So they separate the entire spectrum from the spectral to use their system. Plus, they're publicized before, on the most expensive, on the most expensive, commercially, yes, in America on Super Bowl, on the match, on the final American football match. And they show themselves as a mass application, right? And to start to notice them like a big brand. Because I think you're dealing with technology companies, such strict, big companies, car manufacturers, they're, like, houses, they're like, "Blin, some OpenAI, some kind of thing. "storm." That's the way he shows...
The soap bubble.
Yeah, yeah, like, like, a soap bubble, yeah. Because nobody says Google is a soap bubble or Apple a soap bubble or Amazon, they're not like a soap bubble. It's a fact. And here, the OpenAI, I think, is going to the very same player. And I'll remember that, for example, there was a Zoom, that was worth 100 billion dollars. There was a moment, yes, it was September of the twenty-first year, and now it is, it's a reassessment. I don't know why this thing is worth it. OpenAI probably starts to go out into a league of companies that, when they say we're in 16 states now, I think it's today that they're planning to build, I think, in Sixteen states will build their buildings and they'll be rolling around, well, this one in this big project, which is half a trillion dollars, right? They need the capacity to implement AGI, very high power, yes, that they're gonna have some kind of space data. Well, this is a good ad, a good score.
How do you compete with them, what kind of start-ups do people do? Because there are many people watching us that make the start-ups. That's gonna be great, by the way. Please write what you have ideas on the starttaps you've done or created, or what you've heard, or what you see as a worker. I'm seeing a lot of people in person. I had a man the other day, you know, with a serious business experience. He says, "We do, we introduce AI sales assistants." But I honestly don't understand who's even doing and introducing AI sales assistants. Because if you want to start up and make a lot of money, well, then you need to have fifty potential companies. Now, it's straight to have, with which you and I agreed to introduce some of the functionality you've set up in the CRM system, she just started working. And you all say that these AI sales assistants started working, but just on the market to go out without this, without live, living sales, without a real sales presence and creating this side, this strap. I don't know how the young economy will work in it. And how do you even make money, yes, how do you put it that's really gonna make it, how do you get it for the users? Because we can talk about how much money he's invested in.
But the question is, if you're Google and you have access to the Consymer market, well, people will use Google. If there's Meta, he has access to the Consymer market, people will use Meta. Here. And Meta, by the way, made a very cool commercial. I don't know if you saw it or not, we'll show it in here. They made the glass commercials with the stars from Marvel. And very nice. It's a very cool glass commercial, and I'm c-- at this point of time, you're looking at these glasses, you think, "Blin, cool glasses, still you need to buy them." I mean, they do, they do this bet, they're stepping behind the move on these Ray-Bans, their points with Meta. And the glasses are pretty. And the ads are very interesting. And even the skies they show, it's cool. So people are in the house, at the beginning, like the museum, they're in the house, they're in a famous man, and they're in glasses, watching pictures and asking how much these paintings cost. Very, well, look at this ad, it's very nice.
She's very cool.
Hey, Meta! What is this artwork? Comedian by Mauricio Catalan worth six point two million dollars. What? What? That's a six point two million dollar banana. Are you kidding? We need to find you another banana. Bananas. Bananas. Gentlemen. What a place you have. Who eats art? Think you're supposed to say: "Hey, Meta!" Like: "Hey, Meta! Who eats art?" And then Meta would say: "Chris Pratt". Hey, Meta! Call my lawyer.
And it's a good skies, actually. I mean, I know that, fuck, I might have bought glasses if I went, I don't know, to travel-- to Europe or something, or I'd go to the museum. I'd wear glasses and those glasses would go to the museum, wouldn't I?
Instead of audio-gades.
Of course they're-- yeah, instead of audio-hyde, like that. From the point of view of the skies. Yuzkais is so thoughtful that you and I will meet together and, like, ask each other in glasses. But it looks super, yeah, superrealistic. Bye! While it looks superrealistic, this case, at least, is where they move it. At some point in time, maybe he'll be a mass, maybe he won't, will he? And there's some other technology like the corns. By the way, Elinar, remember I bought this pendant? They haven't sent it to me yet.
You here?
I mean, again, we'll go back to the subject Jan Lekun says that everything will change in the horizon in five years. Maybe Alexa's gonna be renovating in February. Well, I understand you don't believe that. There's not enough who believes that Amazon can do that that Amazon can do it just . Here.
It's not that hard, Sasha. Technology allows.
It's easy.
No new jelly.
It's easy to do.
You have the same iron.
You're making iron, you're making out the peddith, and you're just taking over the fucking mother, the whole market. I don't understand why there's still a simple model that's good at talking, not just letting the alarm clock do and he's got to close the curtains on five, right? He can hear it. Here. But they haven't done it yet, you know?
There may be no commercially interesting case that would be required. Well, like, if we take some case without using the side applications, right? We'll leave for the brackets, there's a parole, a taxi, a product order or something. And that's a parole, so you're in the kitchen, right? Mostly there's a plus-minus in the kitchen. And here's what you're gonna do with her, except for the alarm when--
Start, you start using Amazon Alexa as GPT chat, just voice.
That's my frequently used case, by the way.
The most basic is the most basic.
But look, look, you're gonna start using.
But I bought a mechanical timer.
You start using Alexa, Amazon Alexa, as a regular GPT chat, just a voice. I mean, I'm gonna have a device. I've got a lot of them in my house, there's ten grand, I don't know. And you're gonna start asking for more things through your voice, not opening the phone. And it's really convenient, because you and I can all put a alarm on the phone. But you're sometimes on Alex. Or you could ask the weather somewhere else, but somehow you ask this element that shows Alexa, for example, somewhere. Or music. You can put music on the phone, the column, but I have kids who use it personally. And I remember us, Alisa in Yandex, using music to put or remind you or what weather to ask. What's missing? There's a lack of a better conversation, a better understanding of the text, a little something to say, and something to complement. Can I sell it to Consyumerski? Well, I guess if it's to connect in the history of what I'm doing-- they're gonna do some cool working system that tells me, I'll say, "Look, I bought it last week, I don't know, this one or the one that bought, ordered this fish, there, Whole Foods. Can you see if she's available or not?
Now, in the States, a very big problem with eggs, not hard to sell eggs.
Yes, yes, yes.
They're hard to order, yes. Yeah, tough, tough. And before there's $15 worth of eggs in the remarket, right? It's hard. You open Whole Foods.
Every year, by the way, the same thing.
Yeah. You buy Whole Foods in the delivery, and you're in the delivery. There's a very large variety of eggs and operators here, and there's a very cool quality of eggs. I haven't seen anything like this in the world, have I? From the point of view of the descriptions, the details, the nuances. It's very common here, but now it's a problem, they've killed some chickens and everything. And you and I, I need a specific type of, you know, specific, specific manufacturer, for example. And you come in and you're just saying that I'd ask for it. There are some skies that are kind of working, but they need to be tested, Elnar. And Amazon, you know, no, Amazon had a button like that, you bought a physical button, like, for the order of Colgate cheeks. Many of them who were not in the States, they didn't live, and we didn't have that much. What was that? You could have been, like, an Oral-B stitch, right? Or a toothpaste. So you bought a button, you put a trigger on it, that she's doing an Amazon order, and you're, like, pushing it, like buying a shepherd, and she's been buying it. I mean, basically, imagine you're in the bathroom, you have some pills, there's some buttons.
The wall from the button.
There's some kind of knob--
Shampoon, cheek.
Button, and you kind of threw it and pushed it. She-- she's been living this thing for a while, right? She's turning into what-- why did the button, by the way, not the computer? Well, because you're kind of a little bit of a convenience, by the idea. You're just looking at this, you see, you're out of the past, or now you see that you need to buy this story, and you've been blurring. I ended up wearing gloves on my hands yesterday, I don't know, cleaning fish or meat. I'm like, well, I have to order, but I'm wearing a fish on my hands right now, and you could forget. Or you're out of napkins, you could forget. And there are these Amazon cabs, Amazon Alexa, she's doing it, like, adding gloves to the basket. But I'm not doing this right now. Why? Because if Amazon Alexa says, "Amazon, then Alexa, add my gloves to the basket," it's a big chance she'll add something to me, she won't add anything or ask me or, or, "No, Alexander, you will, You know, I can't watch the gate." Well, some bullshit is just gonna give me, yeah, bullshit.
And at this point, I want to throw this Alex in the wall. I mean, here.
Yeah.
It's like, like, chips. Kids, by the way, I have my neighbor doing. He's a very rich, dear, well, famous man, rich in the American market. He's doing two start-ups, one of his start-ups, he's making a technology product of a child-friendly column that's gonna be with the kids. She'll have some construction in. We have even two contracts of this kind, by the way. Well, there's one, there he is. And then he does that people are talking, so the kids will be talking to this column, it's gonna be their unique story, all the rest. Case is a very working job, because when you tell him iPad, they say, well, it's not an iPad, it's like something else. And I see that I have one, I have four kids, and I have Igor, eight years old, he's often approaching Alexia, and he says, "Let's play, I'll guess music, let's do something else." I mean, it's another way, not a comp, not a comp. And parents don't pay attention to that yet. It's not a computer. Let him play with that column, yes, by the voice. And if you say a computer, you tell him not-no, no computer now, but as a column, he doesn't have a limeth for this column. And something else, he plays the case with her. I mean, Amazon puts money in that very big way to keep, keep some kids there. All the kids know what Amazon is. I have a little son, four years old, he knows Amazon's logo. He says, "Oh, it's Amazon!"
Yeah, yeah, yeah.
Tanya, you have little kids too. They know there's--
I have a two-year-old know that these are the packages.
Yeah, yeah, yeah.
Order Amazon to me there Infiniti, you have to order this toy. Says, "Please order now!" You say, "I'll order you." He says, "Please order now!" And now they're being introduced. Why is there no such thing? And, Sasha, you wanted to tell me about the equipment today, what's going on in the hardware store, in the hardware stores,
anyway?
Shit, nothing's going on. Well, I mean, well, there were these toys, there were pendantes, there were headphones, some corns, some rabbits. Well, that's okay, right? I mean, like, totally nothing, right? So, Curio was a kid's toy, nothing happened at all. I mean, it's like, as a matter of fact, I understand that in hardware, yes, I mean, you know, that it's slower, which is, yeah, you can't do anything that's a million. It's complicated. I see. Well, of course, yes. I mean, there's a lot of restrictions, but there's no one that's even there, well, there's, like, no motto, a motto that's got a thousand copies, like, yeah? Well, or about 500 tying thousand, so that he can be successful, that his people want people to talk about it. That's not what you're saying, is it? I mean, of course, the start-ups are gonna build a motto production, it's a lot of time, but not even a little, not even a virity, right? No use of anyone, huh? Although it's clear that there are often 500 tyranny dices there, I suppose, influensers. So they subsidize the use of the use, they let a man use it, something to use, they pay him to put it there every day, even that's not true. I mean.
No, I think that's Google, too, and Apple, I think they could have done something, yeah, interesting. Or a small, small operator. They could have bought some company, like you said, 10,000 devices out there, and we'd know it was a device. No, you did that device, as it was, remember? We're gonna tell him again who hasn't seen him. It was, I think, an attempt, well, it's not just a pendant.
The one that told you in the stack, didn't he?
Who hanged himself, not who hanged in here with a camera like that, and he has some movement ahead. Sasha, don't you remember his name? We even talked about him in some of the episodes--
But I--
Well, there was a problem, Sasha, that ChatGPT wasn't inside, that it was still a superstructure that keeps touching the phone and then it's on the API, right? I mean, these devices have the main problem that, well, they don't have any sense, they're still like a drip microphone, like some additional minimum interface is only used. If there's something going on.
No, it could be. Look, if this device is connected to Wi-Fi, what they don't have, I don't care what Amazon Alexa cares about, but there's nothing inside. Look, you're the one with the pink, she's actually in there, and there's a soft, I think they wrote it in 1650 when they couldn't write it. I don't know. Well, I just see the quality of the interface, the quality of the paintings, the quality of everything. You're just fading-- you're really hurting just a food-cooked show, aren't you? And, uh, this device didn't use the mass. I mean, it didn't even become a trend like a theme. That's what I saw most, that's, of course, glasses. Here are the glasses, they're going on, you know, like a generation went. I mean, I see people in glasses from time to time. I saw the people who took them off, those glasses. I saw a kind of, uh, some kind of hip. They sell a lot of shops. You come right to the store, you go to Ray-Ban, and a whole regiment is very often worth it. They're making a lot of designs with these glasses that Meta Ray-Ban Smart Glasses, right? And they put them straight, they're very much. Ray-Ban's a total brand, he's a fashion, his vast diversity.
But he was, he was always.
Yeah, he's still, I'm saying, more. Again, yes. That's a lot, I think Ray-Ban's models are very-
He has a very good price-quality ratio.
Yes, the prices and the quality of everything. I'd like to know that in the devices, I would like to see that this year on the Consymer Market, we've seen the introduction of some home, home-grown, that start with artificial intelligence models. function or synchronize. Here. Or something that's gonna show up that it's gonna be alive in terms of hardware.