I was at a conference today organized by Cola Dawadov. There were both the OpenAI and the other popular launchers, Perplexity and a number of VCs. I was shocked by the quality of the Sora presentation. At the same time, I was impressed by the night they were talking about the visas. It's very interesting to have a room, there's five big TVs, and every TV, it's like, it's a video 8K. I don't go to the movies so often, but it's like those TV content, movies, music videos of me-- I didn't give the impression of Sora video. There's a rock show full of magic, and it's for me, of course, amazing that Sora is so far ahead of all the others. I'm probably the coolest visual espionage I've had in the last year. Et-e-e-it's incredible! And, and the quality of the video, they're so juicy, even in 8K. Oh, uh, watching the same-- the same video on the desctop, yeah, or there's no phone on it, doesn't give that impression. It's totally contagious. That's what they did. Very-- well, of course, we all have to-- we all have to wonder if-- how many post-solds were in those videos.
Hello, everyone! Uh, we're at the Moon subcatege, uh, where we're gathering technological news from the Silicon Valley, analysis-- and the world at large, analysis, different opinions. The most important thing is a lot about AI and a lot of technical
stuff.
I wanted to add a little bit about the last release, right? Here we are, we were talking about investing in the date center in Indonesia. think it's important to explain that there are different investment patterns. In case of investment at, uh, the date-centre in Indonesia is worth hundreds of millions of dollars, right? And what Microsoft wants to do now is 100 billion. And what Sam Althman wants to do is trillion dollars, right? I mean, it's very clear that polarization is coming. I mean, uh, someone plays small dates centers, but those who-- but giants, they build big data centers, which brings them to a completely new level that is not accessible to many countries. And actually, the same thing we're-- there's the same-- the same thing, I think we're seeing the cryographers, right? If we go back to Udio, which we're a pok-- music generator we covered in the last edition, the too would be wondering what it was invested in by very famous musicians. Ah, Tatyana, Inar, do you remember? I mean, it's musicians, so they were from the musical group. What music group?
Black Eyed Peas.
Well, very respectable people. And other respected people, Nicki Minaj and others, they seem to sign a petition against, yes, using them as their content in the generative AI. It's also very strong, polarization. I think that, uh, would make many industries switch because it's likely one of the sides will win, and those who turn up on the wrong side of the barricade might well be behind.
I had a question on that, by the way. Why, uh, musicians have two sides, right? Uh, on the one hand, well, I'm quite aware of the position of people who, uh, uh, are against, yes, they're signing. But, uh, interesting, I don't think I've been able to solve the position of the people behind. It's a purely investment approach, uh, the question of profit or the cost of that, it might be some additional opportunity or some completely new level of music, maybe, actually. some new music, new reality? I mean, how interesting is it, uh, what's the motivation behind it, and what makes it, uh, do
it?
Yeah, I can only speculate. I mean, I'm one-- I'm probably gonna share the website. I can't tell a scientist-- I can't, I may be, I can't point out the names, but many musicians have their little venture funds or angel investments more successful than those of venture investors. Why? I understand that because, uh, well, people like how to communicate with celebrity, say that, right? Iia, well, so celebrity often gets access to transactions that are difficult to get to conventionally boring VCs, yes, if you can say so. I'm saying that, I mean, there's a lot of musicians, artists who, uh-a-a-a-- who, uh, for which ventures are a big income. There's probably another look. That's what's in the creative field, there's probably business around people, around the rocking of people, right? So, to gather some musical group, it still requires a very big effort for everyone to work in a coordinated manner. Same thing in TikTok House. I mean, there's always a race-- like there are stories that people don't share things with each other. But many people just want to leave it instead of depending on how people are, their characters, the star disease and other problems people are facing, right? They want to rely on AI as much as possible. Well, maybe Tatiana or Alexander, you're closer, I think, to the creation of a content, maybe you'll share your point of view? I wonder.
I'd be a little bit involved. Uh, there's a principle that you can't win, you can take over. I just think some musicians know where the industry is going, which is likely to win, uh, AI, yes, so let's just say. And it's better to be on the side that wins, to have a company that makes a lot of money on it, right? And how did you notice that maybe this company would even bring more money than his performance, well, over time, at
least.
I want to, you know what the hell this is to add and move? Uh, we've really talked a lot about last time, um, that's right, uh, to create content and to create this content on the basis of a kind of alien content. Is that good or bad? Also, perhaps today we can discuss and come back to the vote, including Udio. I want to-- go back to polarization, that, uh, someone invests $100 million, and someone tri-invests trillion, trillion, and that a lot of things will be inaccessible to countries, that's very important, - I want to see the ordinary people, and first of all, what ordinary people will be able to see and whether there are restrictions or unrestricted on ordinary people, given that they may be technologically The market is very large, very strong, uh, at the level: who owns the technology that owns the resource? Because what we're discussing is like Internet possession. This morning, uh, I put out the news, uh, well, for the audience, it's a little late. I'll remind you, we're on Friday, always Friday, uh, Friday night. Uh, I'm saying that Zuckerberg has now reported what's up, uh, is a model of them, uh, and that AI is available inside WhatsApp. And yet, uh, Elon Musk only reported on the pro--- there was news that it was inside the update in his, um, uh, artificial intelligence system Grok. A lot of people probably haven't heard of her, they don't know. And there's still new developments, uh, in ChatGPT. So, uh, I can say, uh, the appearance of AI inside WhatsApp or something more close to people that's accessible. Now, real artificial intelligence is used every day, uh, well, not with that big percentage of people in the world, right? Although in ChatGPT, like hundreds of millions of people have registered, but it's just so honest, it's from my environment, if you take 20 people, one of them will be used inside. And if you go to the American Center or someone goes to on to Russia, fewer people use it. I think a very big point of contact is when access is in the simple interface, like whatsApp. And I've tried to generate the picture there, and it's really been very fast. What Zuckerberg wrote. So all the processes are getting faster, so the generation gets faster. How does that, uh, lead to this, to the power of these companies, and how important is it for people? I think it's a plus for a man, not a lesser existence. And what Cookerberg did to them is they're moving up the open source and promoting the open source, huh? He's stunning it very hard in his presentation today. How does this lead to some company's power? It's important, it doesn't matter. But I think it's a huge plus for a basic man. The more the company invests in huge money, like Facebook or companies like OpenAI, or Microsoft, or Amazon, we'll talk about Amazon today, or Ilona Mask, to me. I think the cooler the more likely it would be to do something more...
well, I'm talking about the good stuff.
And the field-- well, I'm talking about the good stuff right now.
I wanted to get in the middle of something because I really like Meta. And this is a camping trip, which is a similar approach to what-- where we were doing in Snapchat. It's like a frequent use of AI to shut down a communication on this AI. I mean, yeah, to do-- that's what Meta does now, and that's what makes chat-bots, that's what the-- that can-- the spleons get to do their chat-bots. In my view, this is a branch of development that is quite sinking. I wonder how AI can help lu-humans collaborate? I mean, in my view, Grok is a product for social media that is more useful. At a minimum, it helps to capture trends, summarize, uh, a large number of Twitter-posts, etc. I think AI is an assistant, not an AI as an interviewer, that's-- that's more interesting. And I'm a little upset that Meta, with the greatest AI opportunity, with these opportunities in the distribution, and--the best models in the world, that is, like the last reports say Llama 3 on a number of rows. Baccalaureate, uh, matches GPT-4. I wish they were making pers-- c-c-cardinal new Consymery esppirins, to be honest. So they're on-- that's, like, they're not making any new stuff, are they? They have infrastructure, they have better models, better people, but they don't do anything new on the Consymer side.
Yeah, they're out, you mean, they just put the same, uh, chatting in-- just in their distribution model.
Yes! Nothing new is a big deal they don't do. I mean, I wonder how people can interact more effectively and how they can use AI, how AI can be facilitating, how to create, yes, talking about how it can somehow be, uh-oh,
Help people communicate more effectively.
Why don't they do it? With a big study, The road-simply engineers who are standing there, at a rate of 1.5, at a rate of $3 million a year., on the other hand, this big study suggests that many engineers leave large companies to build their own start-ups. Is that the reason or the reason that big corporations are not able to create a new consusual experience?
I'm probably gonna reset the Snapchat experience, which, uh, it's not possible to make a decision below the VP level, not to be decided by corporations. Also, companies like Meta and Google have three to four levels of management VP level: VP reports to VP, VP report and other VP, and another VP. And at the VP level, people have a very similarly overtook value system. I mean, the level of compensation is probably between five million and 15 million a year. I guess so. And these roles are often, and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-and-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a-a- And I think that there's a lot of that, uh, conservatism, so at the VP level. But it's a basic theory. Maybe you'll break it in the ears and ashes.
I'm really, really, really clinging to what they're in open source, I understand they're getting out. And if, for example, now, uh, for use by the same GPT on API there are still restrictions, because all compute is on the side of OpenAI and there are restrictions in terms of the same type of use. Something else, when we say we have a model, uh, on the baccalaureate, on the level, even somewhere GPT-4, and she's free, you can put it on your servers, mo-- If I understand the news correctly, yes, you can put it on your servers for whatever purpose you want, there, removing the restrictions that are, and so on, it's more like a little stunning, I'm not sure what I'm happy about,
actually.
I'll tell you how the user is, yes, these models, I guess. Uh, so we're doing video-generation, and it seems like, well, that we're doing Llama not Llama, that's not important, is it? But we need to understand what these models are, they'll be used in the end everywhere. Here. I mean, you can, like, in our case, it's a big aplift. Oh, uh, people can't write good proms. Unfortunately, the mo-- current models, including our model, including even Sora of OpenAI, require very detailed and long proms. And a text-to-text system that takes a short pass from the user is required to expand it by context that the model should be obtained, yes, by means of a date-intellation or something. integration, and make a longer model prom. Ah, and, of course, it's a great advantage for us that Llama 3. We don't need to use more GPT-4 for these needs. So we used GPT-4 to use these needs earlier. Aah, Llama's second one wasn't good enough, but Llama's third is top.
Look, it's really cool, it's very interesting. Uh, sure, it's complicated and professional. Uh, well, that's a complicated professional subject. What are the big corporations gonna do? Or are these big companies that create these models, how will they use them, use what infrastructures are gonna come from that? I want to talk about it, uh... Oh, another device that showed, uh, the other day. This company Limitless said he'd let it go, uh, the pen, yeah. What's the corn?
The pendant that means when you move around, he's totally jealous of what's going on. So that the p- people would understand why it was necessary. Like, I've been talking to some different people all day, doing some different meetings. This calon is fully writing all the information, then entering their system, recognizing all the votes, all of them structured in the clear information. And on that information, for example, in theory, I can do some research, make some conclusions. Or, for example, I'm on a trip to Vienna right now, and I've had a lot of different conversations today. I can say, please, make me the twenty-star points that were today, and then I'll put them in social media. Or take me on the basis of the last two hours, so we've been having a meeting about or discussing one company why she couldn't make up of 100 million, uh, $500 million in cash. You can give me a summary as the outcome of what we discussed, for example. Turns out Limitless is very fun. I bought the same prediction last October, and I got the same pen from Rewind. And I sit there and think, where's my pendant? I paid for it, so last October. Uh, found this Rewind company and Rewind the slash of the podium crosses to Limitless. Oh, Lim-- Rewind slash, uh, pen, like pendant. Pendant redirects to the Limitless slash pendant. That's very funny. So Rewind didn't make his own necklace or the same faunders, I don't know they opened up a new company they decided to make. I realized I wanted to pay Limitless's pendant today, and that's the same company that just made a new site. But, by the way, I think I'm a subject that's pretty live, interesting. And when I tell you this story today, I'm told by a man, "I, Sasha, I understand that this information will be transmitted to the intelligence service immediately, there, or I understand correctly that if you are, "A whole day wrote this today with some information, said very sensitive in terms of some things you know, like she's going to get somewhere." And I mean, on the one hand, I see it on this plus that it's gonna help me, for example, I don't know, to run a social media out there, make some conclusions from my work, structure data, remember some kind of data. information, then if you need to analyze it further. On the other hand, people have a clear, clear, personal privacy. It's a very complicated question. And you, Tanya, were just saying that.
What happens in terms of privacy?
Yeah, I remember you told me about that pendant, and I have, frankly, the first thing that's ever happened is a fear, a resistance. For example, I would not like to see my husband or my friend go with this fist. It was all recorded, analyzed, stored and stored. I mean, but at the same time, he works, as far as I can see, twenty-four for seven, yeah. So you can't go to every man and say hi, I have a pen, he's recording everything that-- and he's analysing everything you say, and, uh, then I'll give a summary of this. Well, I mean, I think this idea is a little crazy, because I don't know. Like, in the same Zoom, if the video is on the record, he's asking for permission. Plus, I'm not very familiar with the law system in America, but I know that in Russia, things like that, they're banned. So you can't have that kind of information, um, as evidence in the trial, and so on. But at the same time, for example, um, today I had--
Uh, today, I had a conversation with my client and a lot of small details. And I've got 10 projects in there, and there's, uh, in every project, there's a very similar thing to, right? Sometimes I just mix it up and I can't write it down at the same time and talk to a man and remember it, right? I mean, that would be perfect. I mean, I think that if you narrow it down, uh, that's the use to some professional area and, uh, with a man's permission, that's a good use. If this is a recording of twenty-four by seven, I suspect she's somewhere, yeah, there might be some wire coming from the iPhones, I don't know how it is. Well, that's the theory of a world conspiracy, right? Ah, but at least that's how it goes to the open. Plus, it's good again. Artificial intelligence analyses well, analyses some technical information, yes, some kind of work information. But in person, it can always be, uh, different as annotations, you know, the same words. I mean, well, I have a lot of questions, like the custodian, uh, to this invention.
It's, you know, in the Black mirror there is, uh, season one, and there's one series on that subject when people go there, uh, use, uh, what you saw or what you saw or what you said to, I'm gonna have to check on you if it's true or not. And, among other things, a man has the opportunity to re-model and remember another person, right? But not only is there audio writing, there's a video. It's a very interesting series. I recommend that we look at anyone who didn't see her.
Yeah, well, it's...
And you, Tanya, are just afraid that your husband will tell you that you, Tanya, are so--
It's out of context.
Yeah, you, Tanya, said you were gonna be, and you didn't.
And he wants to give you information.
Yeah, yeah, yeah. And out of context, it could sound quite different. I mean, it's very dangerous, I think it's invention.
Yeah, Tatiana, I think for your skies you can-- Polish-- there's a series of systems that would allow for-- you can, like, create virtual rally. There are very many programmes that make notes and send a summary. They're working pretty well.
Great!
And I don't think that's why you don't invent a new maid-- a new motto. Maybe a maximum new app, but what, yeah? But that's where the cost of developing an application is $10,000, right? And the development of the maids is usually budgets, hundreds more. And I'm actually-- there's one thing that gives me no peace that, uh, we don't know about a large number of security vulnerabilities. And I'd like to throw a stone in the garden like Google. I mean, this news has been three, three years. Not that she's super fresh, but three-- but that was about three years ago. There you--you went through a study that leaked personal data, including photographs of more than 100 million users because of, shorter, vulnerabilities in the operating system itself, right? And, and, well, I know that TikTok has those briefcases, too, just how they could remember these stories. I mean, you know, there's plenty of this going on. Andia often has very advanced PR department companies that can get all the stuff out there so that it doesn't spread online. And actually, even the current systems cannot be trusted completely. I don't think it's necessary in new systems because they're gonna have a level of secularism and privacy worse. Well, unfortunately.
And the corn itself is Limitless, yes. I watched the presentation and the feeling that it was just such a PR story, right? And here, Sasha, I'll join you in saying that this is, uh, some sort of an annex with a germ mic. What's the mouse doing? Davis's recording, uh, some interface, one or two buttons that might cause some action. But it's a tidy-- well, it's a very small device. Besides being charged, there's a battery in it, so it's, uh, it's got a microphone, but inference can't do it, right? It can't analyse audio, do, start models inside and do some kind of surgery. It may, rather, transmit this information to some of the following devices. Maybe a phone that-- yeah, a phone that goes on there to ChatGPT, comes back from there, so it comes. And basically, the same result is, you know, Tanya, in your case, yes, or it's a virtual rally launch like Sasha says, or you're on the dictator, and then you're just sending it, I don't know, there's a Whisper on
transcribation-
I'm in the text.
And then there, yeah, and then some ChatGPT or some LLMca, she's working on it for you. It's all possible to do it in one pipe, one conway, yeah, when you've got it all on the plus-minus automatically. But, uh, what can't take these Limitless guys off-- a presentation that's good, uh, inspiring, right? They show it all when the whole thing is showing up and what you can do with it, it looks pretty exciting. Although if you're gonna break it down on the parts, you know, the wine-- the endless microphone and some kind of... well, the sequence of actions that's automated, right? Here we are in real time transcribating, here we are doing some sort of operation with the text that comes to us. And that's it, isn't it? The task itself seems quite difficult.
And frankly, well, whatever it is with this company, yes, it's their third beer, I think. Fawnder built a unicorn, and, uh, have access to their internal meters, and they're not really there, they're not really. And actually, in case I think there's still a Humane Pin company, right? Now they've released their product and they've called it the worst-case- and I think it's a very popular bloger. Yeah, well, he said it was the worst, worst, uh, product. And a bunch of copper, the copper, they also wrote that it was the worst product. I mean, normally media representatives don't have much motivation, uh, to make a very bad rheuma, right? Because the industry is so small, and it means something's gone wrong.
I think that from the point of view of the idea itself, that would be more convenient-- that's the interface between writing and processing, that's not the interface. It's a simple dictator, isn't it? Well, write the same thing all day on-- sell small, micro-dick-fed dictators. Hang that micro-ddictator, record it, then, here, translate what Elnar has said in peace now, completely Whisper and give it to the information. And a bunch of systems, that's working. Or do what you say, Sasha, there, through virtual stuff. It's more like approaching some interface. But what these data will happen if so much data is, uh, leaking, especially with cloud systems. So, are people willing to pass all their data, uh, outside... Well, although we're all in cloud systems, right? The post is in the cloud, all the drama, the CDs. What's not in these cloud systems? And even a dictator in the iPhone, if the iCloud is connected, it's all a machine in there, so it's all out of the clouds. Uh, the question is really access. And can it happen that by accident, someone will get access to it, right? Or they'll make some supercomputer who'll uncrypt it and access will be even more.
It's a huge, uh, huge problem.
I'm also very excited, guys, to ask you how Americans are, who are obviously visiting Amazon stores and using this company. Recently, the news is they closed their big Walk Out stores. You know, when you come, you take the goods, you take the cashier, nobody, you leave, and there, you get the money off your account. And they started closing at least the biggest stores they had, and then they're moving on to automated carts, something like that. And I'm really curious about whether you, uh, used such shops, and how do you feel about this idea, at least until you're up, and you're not giving it up?
Again, although I have something here again, I guess I should tell you. First, San Francisco had-- there were great problems with pogroms and theft, and, accordingly, San Francisco had a very difficult topic to take up. But from what I-- I have one of my mentors, he was involved in launching these stores. So, he's like-- my mentor built his career in Amazon by launching these stores. I understand there's a very interesting situation, that everyone who needs to be fed up. And then when you had to do business, uh, no interested people left. Amazon is in fact not a lot of products are starting, not so many products for such a big organization. And, like careerists, they always cling to start new products because it's an opportunity, uh, to show their value clearly because there was no one, something's come up and get fured. I understand there was some sort of moment, well, I couldn't get past it. So they're out, maybe there, from zero to ten, yeah, there, in bluntly, but they couldn't get a ten to 100, because it wasn't right as a business structure for that.
And the shops, I understand, are very technically complicated, right? There's something to be recorded that the goods were taken, then they returned it to the same shelf. So the shelves themselves should be some sort of, yes, or the balance is either equipped or otherwise, or, accordingly, the chambers should be reviewed.
Either the Chambers review must be so good as to make it all unwise, uh, record. And, uh, so, uh, here, Sas, as you say, that just a part of the product can be delivered, and, in fact, the company will have more damage than the wages, um, the wages of the cashiers who would sit on the payroll. The tape or self-service machines, like those automatic cartridges, which, in fact, can solve some of
these episodes.
They were at airports or were they in the usual place?
No, it's right in San Francisco, there's a mess, right here in the business jistrick, for example. But he's so s-- but there was a s-sama-sama-sama-sama-sized product. I mean, Amazon has a big, big success like Whole Foods. And Whole Foods is the most premier network of stores in the world I know about. Maybe I'm not much where I was, but, uh, more like Whole Foods, it's hard to imagine, honestly, I'm personally, yeah. And Mo-- and here, too, like, s-- I think it's totally different business, yeah. So either it's a bonus, like a Whole Foods, or trying to do something like, like, say, such small shops, optimizing the brand by, uh, minimising. Number of people. I think there's a whole different business model as well.
And Iia often happens to be difficult for one company to sit, different chairs, a sit-in and a successful different business model.
There's always a question here, uh... I remember we talked about, I had a partner for a long time, one of the constituents of the Russian rheile, and he always said that we were not using, for example, in Russia, to build automated warehouses without a man. Not because we can't build them, but because, uh, we're more comfortable getting them, uh, hiring logistics. And he says, "If I did it in Switzerland, I'd like to put an automated warehouse in Switzerland, 'cause the human wage is worth more. The question is always that companies like Amazon, and since it's not just a relayer, it's a-- well, it's a fucking corporation and a crazy provider, including a market player for technological AI as no one, yeah. This is the second search, uh, in the U.S. after Google. I know, as far as I know, from the point of view of the volume of data that is, maybe something has changed now, maybe something has changed now, uh, but it's always a possibility to test. Some new things, and then you know why. Like, I'm like a user who goes to the store, to be honest, I don't have a plus one that doesn't have a man. Well, I'm like a user who comes in, I don't see the benefits. The existence of self-services makes plus that I buy more goods because the cashier can be put in a lot more. If you see Whole Foods, even in a little Whole Foods, they're ten, 20 self-services, and you're not standing in line at all. I mean, well, it's going through pretty fast. But it must have come too, and it's time for that to be done. By the way, there's this special system in Whole Foods where you can pay, uh, a handprint. I tried, I checked in. I did, because registration is very simple, you're in the 30 seconds and you can pay a print. I mean, the basic thing is, why would I pay the handwriting print if I have an inter- phone, and I can always pay Apple Pay on my phone. I mean, like, in the store, it's a useless thing. What's the possibility that I went to the store without any money, no credit card, no phone? Well, practically zero, yes. Why? Where did I end up? I mean, what is this, what happened? At the same time, this technology, for example, rolling around in the store, offers other possibilities. She's in Colorado, in the State of Colorado, in the United States, in several bars, and they're running tests when a man can help confirm his identity, yes. That you, uh, and not I.D.... show your passport or anything, but identify that you're over 20 years of age, like if you come in, that's where you need extra. ID. Or, like... And these are, of course, very cool topics, they're needed. There's a system in the States when you come to the States and walk, and you're also moving inside, you walk, you're not checking your papers, you're much less tested for the distortion--- I'm not sure what you're talking about. It's just scanning your face right now, you don't show anything, you go on, yes, Global Entry. I've registered to her, by the way. Now, uh, I'm gonna have to get the last procedure in there. And these things, of course, they give very much, uh, well, some extra possibilities. So... the stores... You, Sasha, have told me the interesting thing. What exactly happened at Amazon at this moment? I mean, it could have been a project, because I think Amazon is a company that can invest very much indefinitely. Here. And what they're closing is so, um, it's kind of weird for me.
Yeah, but you can tell people who are a little bit not from this, uh, sphere, how Amazon was among all these big players. Because for me, I've been living in the States for four years, uh, and until we're here, well, meetings, I thought it was just a company that delivers goods that I love to use, Sasha. He knows. Here. But then when that name started to float, I'm just wondering how it is that she, uh, goes next to Google, right next to
Microsoft.
Actually, as far as I know, uh, Amazon makes more money with Amazon Web Services, yeah, they have AWS, uh, than with the rhythyle, yeah. And, uh, for the custodian, it's actually more a delivery service and a web-based store. And if we take IT sphere, it's almost the largest cloud service. And now with the investment in Anthropic, the same one we've been discussing recently, it's a big player in the AIS. But here, Alexander, you might be able to say a little more. I'm a little familiar with this field.
Yeah, I was just trying to find the information right now, actually. And-and we have to, we have to go back to this... on the next-- we have to-- we're gonna have to go back to that, probably in the next issue. Noo I'll find the data. But Amazon is one and-and-one, that's business that needs to be transported. Amazon is definitely in a dozen transport operations in America, and yet they have this, uh, network already developed, and maybe the whole Foods business is here, like, with their, uh, selling goods. I'm sure the food is well in here. Oh, and of course, from the AI perspective, I cannot yet say that Amazon has made great progress, unfortunately. I think Amazon has DNA that when it's de-- that when some product is released into the mass, they'll make it more reliable than anyone. It's, I think, their reputation as web service, right? But since AI is still in a very early stage of development, and everyone expects that in two years the models will be somewhat better than the current ones, it probably isn't the most appropriate moment for Amazon, but, like, Dominate this space and what they do, they first develop their iron, and they are partnering with the largest companies, like Anthropic.
By the way, in addition to this story, yes, the connection between our episodes. This is the last time we discussed and today we started about the hundred billion that Microsoft invests in infrastructure and supercomputer. And now, literally, there was news from ours, so, now, the old friend Sir Demis H-Hassabis, that Google is also missing and promises to invest more than 100 billion in this infrastructure.
Therefore, in fact, the major players are actively investing in this direction.
I think it's very, uh, very, very information-intensive all the time about this, and we're in the releases seeing that there's a lot of concentration on AI. I guess I know why. Because it's totally, you know, revolutionary now in the world. I wanted to say something else about Amazon. Tanya says, "Sasha knows how to use Amazon." I've got a lot of Amazon columns in my house, so I don't know, eight grand or nine, and the columns in the different rooms, and they're all on screen, everything. And so, uh, Tanya and the family were in guests, and Tanin's husband Steve tells me something about the columns was talking. I say, "Look, even through this column, you can order Amazon's merchandise." And I'm telling him, "Alexa, buy me Japanese rice." And she showed me Japanese rice, the one I'm buying, and there's a way to confirm, he'd be automatically buying it right away. And Tanin's husband is standing there saying, "I'm not gonna buy this house, 'cause if my wife goes by the column, she's gonna automatically order a thousand dollars all the time."
It's okay, I'm doing it through the app.
Amazon does a lot of things. It's really a very small, huge operator. Oh, you're on, uh, sub-category ToTheMoon. We're leaving every Friday night. You have to sign. I'm very happy to hear your comments. Write it. This is our new sub-cadast. We'll develop it for a long time together. We're Alexander, Tatiana, Ilnar, Alexander. We can also be read in the canal's description. We started and launched Instagram, and in Instagram we'll be putting the most cool moments, the racels. Come in, sign up. That's how you support our sub-cadast, our sub-categories about technological news with a large concentration from the Silicon Valley, because three of us are from the Silicon Valley. A lot of things-- all of this from the US, all of them technological news from the world, analysis of them.
News from the world, website analysis, some special information. Oh, and I, uh, I want to thank my friends and colleagues a lot. Good to see you all, um, bye-bye.