And when I saw the Rivian car, I think that design is interesting. You've got a car like this for the future, haven't you?
They lose 38,000 dollars with a sale of every car sold there, at least in the first quarter of the 24th year.
Wh-what is this use case? It's a fun thing.
I understand that's a big problem with Salesforce. Salesforce lost 50 billion capitalization.
How can this business be profitable, go there? I see he's unprofitable, right? What is it doing?
All these voice assistants, they're only useful to put a timer, ask what weather it is, and load it, turn music on. Hello, everybody!
We're on ToTheMoon. Here we tell and share technological sites. We're always four people from the Silicon Valley and all over the world. Hey, guys.
Hi.
Dana, Ilnar, Sasha, hi, yes. I came to Irvan. This is a town that is a little south of L.A. in California. It's an interesting city. Uh, I was once told about this town by a well-known man in Russia, and he said that this is the place that was created around, uh, university, that is the city that formed around. University. But at the same time, if you see, uh, how this place came to and who owns it, and who owns the territory, there's an interesting moment. There's a huge amount of territory in this city and all the cities around here belong to a company called, uh, Irvine Company, right? Irvine Company is called in honor, uh, with-- who founded it with the name of Irvan, and, uh, it was founded there at the end of the nineteenth century, James Irwain. Oh, but what's interesting is that he owned a huge amount of z-ground. They were farmland. Next, uh, his, there, the kid, then some relatives, then some of the managers developed it. And, in fact, by the end of the twentieth century, people turned this territory, uh, they've developed it, and it's not just agricultural, but it's been developed from the point of view, uh, of a large number of different objects, into a wide range of different objects. It's mostly a living and office real estate. And, uh, I was actually thinking today, and did the city really come around the university or the city come up around the right management and right, right, right, right-wing company? And an interesting comment one was written about Irvine Company, that Irvine Company is very strategically looking forward. Well, that's a company that's strategically sensitive. And there's a huge number of apartments and private houses that belong to the Irvine Company and that it just sends, yes, that is, that it doesn't sell to anyone, and a large number of territories. The land is just crazy. But what's interesting is I want to raise the news today, and we've been discussing it a few times.
We talked about a lot of Tesla and we put on a little Lucid. Uh, that's California, yeah, California, electric cars, California. Uh, knowing, yes, and that there is no presence in the States, uh, Chinese car, so someone can start saying that there's China, look at the front, front--- the front. I really do, I don't. But it's interesting to see in California that if there's a company called Lucid, which is in California, she did a pretty cool car, when I came to the U.S. last year, the first thing I saw in Irvana, This is Rivian's car. And when I saw the Rivian car, I think that design is interesting. You've got a car like this for the future, haven't you? And it's amazing that these companies are generally coming, developing with-- like self-sustained, yes. It's not, it's a public fund, it's not a state that wants to create something, as far as I understand, again. And Rivian, uh, among the locals, at least the K-- locals, I mean California, it's a good popularity. People like the car just by their own style. And founder Rivian, founders of Rivian, they're from Irwain. Here. And Rivian just released, uh, two new cars and RS, R1S and R1T, respectively, with new design and new visual. And they had the previous cooling machine, the car was the previous one, Truck. And they just let the Truck machine and the Truck machine, right? And that was the one that struck me when I saw her. I can't understand what it is. It's clear that the machines are all out in a row, from BMW, Mercedes, Audi, anything, yes.
I'm just curious about Rivian. Uh, again, on the news we were watching, it was said that they were losing $38,000 with something to sell every car that we sold there at least in the first quarter of the 24th year. And I'm interested in the business-compounding thing, right? So they sell, well, relatively many cars, every car loses enough money. But what is it? It's a fee, I don't know, there, for the share of the market they want to take, yes, or what? How can this business be profitable, go there? I see he's unprofitable, right? What is it doing? They let these machines go to their own loss. It's supposed that when this all comes to the conveyer, it'll, uh, be the best price or, in there, the cost will be better and the company will be profitable. Just a little bit of this as experienced businessmen, please.
Well, the article was, uh, where the reference was, it was said that every car sold in the first quarter of the year of 24 had 38,000, and there was 700, with a dollar, Rivian losing at every one of those things. Car. But I understand there are other interesting, uh, news, that, for example, they have an Amazon deal, and they're a delivery truck, uh, product,
Amazon's being developed together to deliver the goods, and it's obviously enough.
We're on it.
Ah!
We're on it.
They're already in.
They're so cool. By the way, yeah, it looks like Rivian, right. Because, for example, Rivian Truck reminds me very much, uh, something, uh, Range Rover, Land Rover, probably even a mixture of Ford and Range Rover. And the Amazon Truck is really something new, fresh, nothing
like, super-minded.
Elinara, answering your question, is, in fact, always, uh, time. If you take Tesla, I remember I don't have the data on my hand right now, but last year, there was, uh, some of Tesla's blocks, uh, hardly the most sold car. I don't know their net profits and how much they're lost, it's not lost to how much real net profits are there or if they're sober, the operating profits. I don't know. Sasha, maybe you'll see, see, see.
Oh, I looked, yeah. So they lost money from the 14th to 19th year.
Yeah, since 19th, I think they've started profiting. Yeah. And 23, 14th. $14 billion.
21st, yes.
$14 billion in profits in the 23rd year, folks, Tesla. Right, Sasha? In the 20s, 12 billion, 21s 5 billion, and in the 23rd year, they had a $100 billion in cash, Tesla had a $100 billion in cash. If I can see the right data now. And in the 23rd year, 14 billion was profit. Sasha, you have the same data, right?
Yeah, yeah. And, I mean, w-- I think that it's just that everybody understands that this is the future, right? I mean, if there are many other technologies, such as generative AI, that we are discussing, it is unclear when this future comes, perhaps it is unclear what the pace of improvement is, and so on. I think that in the area of electric vehicles, it is already defined, so there is a possibility that the cars could be developed for as long as possible and not be driven for profit as possible. I mean, here, it's just that we need to be very careful, careful with this, because there's a Rival company like this. The CEO of this company, the faunder Dennis Sverdlov who had already founded Yota, if I'm not mistaken, and they're, like, 21st, I think SPAC got out, became public, but then they're-- but now I'm, but... Now, I understand they're in big trouble because they didn't get it commercialized. So they were demolished with Nas-Nasdaq in the 24th year. And there, it seems, there's a situation where, despite the contracts that were in place, and the contracts that Rival would build such minions as a DHL factory and make his trucks for others, it's, uh, it's not, uh... We've been able to implement, we haven't shown, uh, the increase in sales. And I think that's why the company must have been divided.
And if you're talking about, uh, Rivian, they're the only ones who have been able to make a successful entrance to this corporate segment.
Plus, adding to the subject is another issue. That's the vision of the future. I didn't bring this company back at the beginning. So you can talk a lot, a little more, to see what's going on for 10, 20, 30 or 40 years. It's always good to do a test. Like, at our age, we were born, uh, at a certain time, we can see from--
We can see the changes that have taken place, uh, there, in Russia or in Belarus. You were born in Russia, I was born in Belarus. See the changes that have taken place. And for example, in the States, you look and say, "that's right, the man in the late nineteenth century owned, so the earth. And then they started to develop, and they're the next one who owns the city. In the case of electric vehicles, the EU has a law that by 2035, all registered vehicles should be with, er, zero emissions, i.e. electrical. It's all over. Well, if I understand that zero emissions are automatically electrical or something, I don't know yet. And by 2030, uh, they want at least 30 million cars. I mean, and that's how Sasha said that, Ilnar, it's guaranteed the future, yes, that everyone sees it and that everybody goes, well, that's the inevitable. And logically, if there are operators in the States that produce electric vehicles, and as much as Rivian or Lucid are not sold less, there, I don't know, Tesla. Or there are other operators who just started to release, there, cars. But once again, now the cars are electrical, I think they all have, right? Uh, and Cadillac, Mercedes, Audi, whatever they are. Uh, but it's a market that can be occupied. And these cars are usually equipped with a bunch of innovative things that-- that don't exist in conventional cars. We were talking about Tesla, yes, and the presence of a completely unique autopilot system in Tesla. We might have a lot to discuss, and obviously Tesla has the opportunity to make a space machine in the next 10 years in terms of quality, there, uh, skin, uh, plastic, well, interière and everything. The rest. I mean, doing a whole different quality than someone now can say that-- well, I can say, for example, that it's kind of a inside of a quality-- this car is all---
What are you comparing her with?
That's it. Of course! That's the question I always compare with, isn't it? I mean, I'm just tying up a little bit with another class of cars, yeah, which I don't think you should be comparing that car when it's worth so much. Yeah, how much is Tesla 3? I don't know. There was a moment when I thought she was worth $40,000, yes. They gave you a discount, a refund of the money back from the taxes. Well, some price was just space. Yeah. And charge free, yes. And the charge is just a trillion, just a trillion charge. And I can tell you, I have one car in the States now, and I'm the second one that's guaranteed to buy an electric car. Well, I want to buy an electrician, yeah. I'm just waiting for a long Escalade electric. It's just gonna be summer, waiting for a long one. Here. Uh, but I want to be electrical.
So you're in an environment where you want to get onto an electric car.
Microsoft's presentation, yes, we've touched it so much, talked about moving to ARM processors. I'm just saying, I'm just gonna have to say, "Oh, yeah, that's the operating system, right? What, uh, uh, shows up, well, not just Microsoft, but many people have a separate NPU, right? I mean, CPU, GPU, to which we're used to: normal processor, graphic processor. And now there's another NPU, yes, that's something to work with neurosets, a separate computer. And, um, I wonder if this is where the developers are looking and, uh, the operative systems developers, in particular. And, uh, interesting was what they said, um, Microsoft, that inside their Copilot+PC, they call it, add up the models that are ready-to--may start on this NPC, ow, on this, NPU. That's even the term SLM. We're all used to, uh, Large Language, Models, and there's a SLM, yes, there, uh, Small Language Models, that's small models that can be launched on a device. And they showed different uses, didn't they? It could be, like, the pictures, uh, inside the device, and working with a chat-bot, a assistant. And there were interesting examples. Like, a man plays a computer game and starts with, uh, his assistant talking about, what do you need to do, huh? And the assistant is looking at what's happening on the screen and starting to tell, what to do. Some instructions, something else. And it's getting a little clear here, and for what, NPU comes up for. Because so far, the model has been launched on the graphic processors and it seemed to be okay. And it makes sense, yes, that is, if there's enough pressure on these, uh, neuronets, it's easier to put them on a separate device so that the graphic processor doesn't get loaded into this. the moment and the normal processor. So your usual activity is not stalled, but you also get another computer who can perform specific tasks. Like, like, there, a man at the presentation playing a computer game, the graphic processor is loaded, and there's something else on this processor that would be, um, uncomfortable, right? And it would have stopped the schedule somehow, something else. And a new computer comes in for this. But, uh, what other examples of use I've been remembered there. Like, it's a visual search.
There's an example, you were looking, there, some dress, some sort of chin, uh, that was a week ago, and you're trying to find, and what kind of a deposit this was, right? And looking for it either, in the mortgages or in history, with your hands quite tiring. And you can write to the assistant that I've been watching, there, some blue- dress deposits, find me where it was, right? And he'll find what number you've been watching, what dress, and you'll be on the screen with links, with everything you need. So, this is a use scenario in the framework, uh, this is a normal operating system. I mean, if you had to make a use scenario before, yes, I suppose, and then there's a ChatGPT, and you're making up English with him, I can translate the texts, I can generate pictures. Yeah, and you're sitting there making up your own mind, and what can you do with it? Windows showed up here, uh, how can this be carefully built within the operating system so that it can be used as a user-friendly option. But while we saw only the demonstration, there was no way that it was, uh, to touch, to feel. But, um, it seems that the approach is quite interesting, er, Microsoft in this direction. In doing so, they have shown a sufficient number of applications that have already been optimized under this story. I mean, in particular, there was, uh, DaVinci, a machine for mounting, if I understand correctly. Our skates are doing this right now. Yeah, and there's a fairly large number of programmes that are already in the box, first, ARM Architecture, and secondly, they can work with this NPU, with this computer, who can, Uh, in the background, start some tasks. So, in the framework of, for example, DaVinci, there was an interesting example that there could be, uh, a change of background, uh, I don't know, there, a change of color or something to do for almost summer, just starting up. That's all on this extra computer. Ah, that's why those who didn't see the presentation, look at the reviews, at least a fairly busy story. Uh, that's how it's possible, uh, the usual operating system is changing. If the experiment is successful, it feels like everything's gonna be a little quiet. It's gonna be pretty soon, uh, a presentation at the Apple, yeah, uh, WWDC.
Accordingly, it would be interesting to see and compare to what Microsoft showed.
It's really nice that they, um, that's what you mentioned, Elnar, that they're starting to show, uh, like, diagrams, algorithms, how to use, uh, all these new systems., because, for example, if you compare how Sasha uses ChatGPT and I, uh, it's probably a hundred times I'm actually using less than that because, uh-a-a, Sasha, apparently, a IT man in the field. First, he knows all these algorithms, systems, and he's more comfortable with them. And I'm opening the ChatGPT and I think, "Okay, well, text is translated. Okay, I'll get the text from the picture. Okay, what else? " I mean, I think people are just ordinary, uh, mid-statistically short of this much more, uh-e-e-e-e-, and a very good example of how to use it. I mean, it's really great they're showing it.
Well, you see, uh, people weren't trained. I don't know how much time it is, uh, technical education. I, uh, literally saw a few days at a famous blogger's place. He was telling reels how to use ChatGPT. He offered to use ChatGPT, like, "Give his name, his wife's name and children." Said: " Think poem ". And that poem can tell us somewhere. It's a bullshit thing! So what's this use case? It's a fun thing. I was driving in a car yesterday from, uh, four kids from San Francisco to Irvan. It means when you're going with four kids in a car full-loaded, someone yells, someone wants to go to the bathroom, someone eats, someone plays, someone laughs, someone listens to music, someone's listening to it. He's distracting, saying, "Dad, look at me." If you don't watch, he's telling you 800 times, "Pap, look at me," so you can watch the drive. Well, you-- yeah, you're still on a high speed, enough, yeah, that's, you're a lot of stuff. And what's interesting is I was going to L.A., and I know there's a traffic jam, and I had to go to the regime, uh, uh, to get me to know what road I'm going to go on to L.A. And I opened ChatGPT. ChatGPT says, "Hey, please tell me, there are three roads, how can I drive, uh, to Irvan? There, like, to go through L.A. on the fifth road, to go up to 210 or down there, 420th road. " I see them on the map, even though he could have asked what roads. "Tell me, please, on which road...” I see there's a traffic flow. I say, "There's a 420th road, like, south. And when the strip starts specially-- and, first of all, is there a pay-as-you-go? 'Cause I know if there's a pay-as-you-go, I'm gonna go through the payroll, there's no traffic.
“Is there a special area dedicated to a large number of people, yes?”
A lot of people, huh? High, occupancy vehicle, huh? And that's when the car's in there, two plus one or three plus one, special lane. And he's telling me straight: "Yes, there's a lane on this site." I say, "This lane begins after the exit from the current road where I go and when it ends," he says, "It begins immediately after you move and goes to the pay station." And I went against her, contrary to the navigator, and I won the time because the navigator doesn't diagnose me.
That's great! Well, I mean, I would even--
And actually, it's interesting that a navigationist is to take Google, a huge super-croute company, a navigator who doesn't know, doesn't know, doesn't show you these things. That's bullshit. Well, I mean, the idea is, he's got to show you what lane you're going through, right? I've always been in a fight, uh, when you, for example, drove to Moscow on a taxi, that a taxi could drive a specially reserved strip, and I knew that a taxi would be faster than a certain road. Why is the navigational device not s-- not building a specially-taped cab, but using its standard navigation, which is not always faster because the road is loaded. But I know there's a special lane on this road, I'll get it faster. And look at the impulse, the navigation systems, the , the s- and the soft, there's been some, uh, behind. There's a model, uh, that allows these things to be refined and, in fact, incredibly improved. I mean, if there was a built-in interface in the car, uh, and now a part of the cars, someone said, I think Kia said yes, that they would be building ChatGPT if I didn't. That's what I think it was. Well, or someone said that if it was in the car today, it would be obvious to start building. Well, Tesla is obviously gonna build, I don't know, hiAI there, or someone's gonna be up. I mean, if there's a working system, and she's gonna be like helping you out, I'm not gonna get distracted. It's a distraction. This distraction is a little uncomfortable, you need to read a little something there. I mean, it's not that pre-implementation, it's super cool. These are the real boxes of use, yes, which we know a lot of use, there, I don't know, math, programming, everything. In normal life, that's how you, Tanya, said in normal life, a man can't come up, come to the case, and I'm just using everywhere. I mean, uh, we're going with my friend in Erivan yesterday with a close business, and she's driving me to Laguna Beach. She says, " Sasha, I'm thinking about opening the room here. " Iia's on Laguna Beach. And it shows me the room. I say, "Look, superstore, Laguna Beach lives from 15,000 people, obviously. It's a very awesome place.” She says, "Not so many people here, there are 2,000 people living here." I'm opening ChatGPT, just as long as people live, $22,000. There's a question. I mean, it's, it's different, and it's different, of course, the other speed in general, uh, decision-making, different case files. And what you, Ilnar, are telling you is that these little models and models are on-- uh, that's what we discussed on the last topic, that's what Apple might want, right? And until Apple gets it, he doesn't get the little models for his phones, they're, uh, they're not gonna, uh, get something. Sasha, I think that's the subject, isn't it?
Well, let's wait for WWDC. Uh, I don't know, there, uh, when we're gonna have a skate on it after the presentation or before the presentation, but in any case, it's gonna be interesting to compare, yeah, now everyone's moving in that direction. I'm sure Apple will have a very busy presentation.
Yeah, but, uh, the presentation is about to be, right? So...
Mm-hmm. Yeah, yeah, yeah.
Yeah, so, uh, 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-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-
So write
in the comments, gentlemen, what's happened there, which we don't know yet.
Well, they must have copied Rewind here, yes, here we are. Uh, so, uh, the company now they're called Limitless, right? So they did, which is, there was a se-- they had a poo search service like the stories of what happened on the monitor screen. And it's logical for Microsoft to introduce it. Noo's hard to tell how successful this is. So Limitless's business didn't go very well, they're always beer. Well, like the beer startup should be. They have a faunder who, uh, is so unconventional, I'd say, the way that we're gonna get the top team together, and then every three months, start something new, and find something that's what it is. It's like a rocket, right? Here. Uh, I can't say they've worked the case very deep. I don't know how much Microsoft is willing to do any more of this skill. I couldn't-- not-- a little cautious about it. Why? Because there's a row-- there's now, maybe a time when the budgets for innovation are set, but the AI revenues are still unsuccessfully unsuccessful. I mean, I understand that's a big problem with Salesforce. Salesforce lost 50 billion capitalization. I mean, it's a d- 20% for them. Aaa Sales-- from, uh, not g-- so go on, giants are those who cost more than $3illion-trillion market cap. From the negligents, Salesforce is the only person who has invested seriously in generative AI, in the development of his own models, and so on. It's very, very difficult to do, from-- to public companies, especially those that have to be kept accountable. I understand that one of the problems for them is to be soldforce, that their investment in AI is not in revenue and comes up, and that-- that's what gives a lot of questions. Maybe the Salesforce will not be a winner, but as a loser of generative AI. Maybe, on the contrary, their operation will be more quickly copied with all of these Copilots and so on. Ia for the industry, of course, is gonna be very bad-- very bad if, uh, uh, just like OpenAI, they're not delivering, like, value A for some business process, are they? They have B2C apps, they have API, in fact, yes? And it's important to see how businesses use this API and how they raise revenue. As long as these stories are sadly a little public, and I'm not limb-- and, but we kind of need these stories for the Generative AI industry. And I'm afraid that if, uh, M-microsoft or Google, or anyone else can figure out how to put value on, this whole industry will be over there in a year. So the OpenAI stays, huh?
I mean, everyone's gonna know it's a game for OpenAI and everything.
But they, you think they're gonna stop, huh, just keep going? They're still going, Sasha, they're not gonna stop investing.
Well, the meta-crowded almost stopped. This is the same story.
Look, with meta-- with Cookerberg meta-sized, the interview was very calm, saying that he knew there was gonna be some use, and that's why they bought, uh, a bunch of equipment. And that equipment was just-- it worked really hard to get them to design their AI.
Mm-hmm. Yeah, yeah, yeah.
They just didn't know how he was gonna turn around.
But here's what's interesting, the iron market is on this side, right? I mean, uh, there was a presentation-- not a presentation, a Computex conference, at which NVIDIA, Intel, AMD, Snapdragon and all of these were. And all of them are the trillion operations in a second that can be performed, right? Everyone has NPU, everyone has new ones, they're computing, which, in addition to normal operations, are also shut down for neuronets. And it feels like that time, remember, there were phones with 5G, that is, um, 5G on the phone, but 5G networks are still missing. And you're kind of buying a phone, and you know you're still on the same network as you're with the usual phone. And it turns out that there's a iron that, in general, like, can count it all out, but there are real skies, there's not enough of it, right? On the one hand, Microsoft showed what to do, but it was just a presentation, right? See how the market will take it and how things are going to go.
No, we're waiting for a lot of presentations.
We're waiting for the presentation of all the clowns, waiting for the presentation, uh, video-generation, there, Sora, waiting for a lot of presentations. We've seen a lot of things. Just the question of how it works, yes, how fast. But anyway, uh, there are already some cases. I mean, the use is different, so much. It's just big operators, they play, and we talked, they have big strategies, big games of capture, so the universe, and little things just don't interest anyone. And these are the possessions of these briefcases, uh, while they're being introduced, it's gonna take time, yeah, so that something's been introduced in the car, um, it's gonna take time. There's still a car, a bunch of cars, a couple of years ago, there was no normal navigation, right? And there was an old navigator that couldn't be used. What do you mean?
There is absolutely no use, I think, of Siri, who, well, is such a prototype of the future AI, but nobody seems to use them. You know, there's this man yelling, "Siri! He'll hear him ten times, then he won't understand him 20 times. And, and it's all over, so IPhone found it.
Well, the anon to WWDC Sasha was rolling. It was just that Siri might be smart. We're waiting for him to talk about it.
All these voice assistants, they're only useful to put a timer, ask what weather and load, turn music on. I have 10 Amazon columns at home, and they're used as a music loser. In general, they probably were bought for this, but I bought them more, honestly, as an interface to report information to different rooms. Well, for example, to call the kids, or Pauline Sk-- or the wife, to say, "I'll get water and tea, then. Well, I'm kidding. Here. I mean...
I'm kidding. Here. I mean, exchange, exchange, exchange information on the house. But you know what I'm saying?
But I'm sorry. But I'm sorry I didn't buy old ones, you know, old, stupid, stupid, stupid, even those, what are they called? They have a word in common, uh, intercom, inter-- yeah, an intercom where you press the button and yell this thing, because it's all stupid, you push the button, it worked. And when you say Alexa, like, "Alexa, make an announcement," she's like, "What type of announcement? You say, "Announcement," and she died. And then, uh, some column said you don't know what it is. It's always glowing, bleeding, and you're used to some service. And I'm used to ChatGPT, the way he recognizes my voice and how it happens. And that's why when you're dealing with Alexa, Siri or something, you're starting to get hysterical, you're just, you know, starting to shake you, right? When you have this difference, you see this very strong difference, you start to shake. Ia used to slow the phone down, too. We all treated it peacefully. But when you get used to, uh, I remember, I had a TV so expensive Samsung, there, $100,000. I was standing at home, and when you pressed the button, you waited about two seconds. I remember coming to my buddy's place, to Dime Muginova, and he opened his own LG to me. I'm sitting with a remote and I think it's happening. I say, "What kind of TV is that? "And he's pressed, and there's , like on the phone, a very quick reaction. And I couldn't figure out what was going on at first, like you'd been in a spaceship, right? It's just on TV, so the remote works faster. Here. So, of course, that's very interesting. Very interesting move, there's movement. Again, I remember, uh, a place like Irvan. This is a long subject, this vision is long, the ability to do long. I see that's a lot of money. And in Tesla, to come to a $100 billion cash rebate, yes, there's a lot of money. But pay attention to the $100 billion worth of cash, you can't get $100 million. Sometimes someone wants to, uh, repeat something, putting hundreds of millions of dollars in there. It's not gonna work, is it? Or a few billion dollars, it won't work. I'm 5G first, by the way, that was fun. We're 15,000 in Europe last year. km or 12,000. With family. And I remember, from-- from Spain's food, and I had 5G. And I'm, uh, running a Zoom meeting, driving, I'm having a meeting. I see 5G and I think, "Fuck it! I've never seen such a badge in my life. Here. And, well, we should have gone to almost a point in Europe south. And then Portugal was po-- well, of course, we're not talking about the coating in California.
Uh, there's just an exclusive connection in many places. Aah, except my house.
A little more, a little bit of futurism. Uh, again, on Computex, Jason Huang was telling interesting things at NVIDIA's speech. What, first of all, he told me what they were doing, there, simulation of the planet to be absolutely sure, there, weather to predict, weather to predict, there, local, yeah? I mean, you have a condition, there, uh-e: "San Francisco is expected to be there, so it's a weather." San Francisco is a big city, right? There's one in the same neighborhood, another. The wind is still standing there, and it's like it's going to be like this. And he was telling me that they were doing models that allowed local weather to be based on the design, air traffic, and so on. And it's pretty good, it's the first. And the second thing that was very interesting and I thought it was quite interesting that, uh, predictive models would appear that you'd like to know what you'd do before you might even think about it. I mean, you know how it's like a boxing room, you gotta watch it, not your opponent's arm, yeah, but his key to know that he's going to hit you now. And, uh, by some point, you can understand that there is now, as a condition, your opponent wants to do it in the box. So if there's enough information about the man to collect the model, then she's got some kind of clue that he's gonna want to see the weather forecast now, and she's gonna spit him out there. The weather is coming. Now he wants, I don't know, there, open Amazon, order something, she'll open it, Amazon, right? Just understand the habits of a man and start to guess, and what's going to happen there? I don't know what it's gonna be, but it sounds like a futuris-- it's pretty furistic. It's like this car started talking, so I remember. Besides the autopilots that are still in there, there are systems that check that the driver, there, didn't fall asleep, yeah, that he's looking right there and so on. And then there's some sort of pre-emptive models that might start checking, there, a human condition, and knowing that there, he's gonna be in there, he's gonna start feeling bad, he's gonna start, he's gonna fall asleep, yeah, there, or Something else. And on some of these grounds, you're gonna have to make some decisions in advance, take some action.
It's like Mercedes says to drink coffee or I don't remember any car saying that.
Yeah, but it works. I had this function in Mercedes, and I had this function in Mercedes. This function, she tells you to have coffee, just, like, drink, well, it's 2 hours, like, have some coffee. You're tired, aren't you tired?
It's a mood that's kind of a little bit of a stiff.
No, I see, sco-- yeah, yeah. She's actually working. I've noticed several times that she's like diagnosing that I'm tired because it wasn't always connected to the time of rebuilding. But it's a model of nursery, right? It's like I have a car that includes me, uh, back and body massage when I pass, but it just turns it on in an hour, yeah, there. And if I drive six hours, it just goes on every hour. I mean, there's no other logic in this whole thing. And sometimes you watch such algorithms and you realize it's just, you know...
Well, here we go.
What, what's ML?
Well, here's
Huang--
Huang promises that it's gonna be interesting enough. Let's see what this is gonna be about. It feels like a campaign to redeem Sam Altman was under way because there were different stories about how he left, there, from Y Combinator. Then there was a trial with him being fired or there, not fired from OpenAI. And there were different, uh, opinions that he was not fair here, so he put his priorities above company priorities, and so there, the paths went apart and so on. But, in that case, we had literally last debate that, for example, the HAI A-a-a-a-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha-ha And so on. And I feel like this when I read all these stories, which, actually, no, er, the paths went off by mutual consent. There was no such thing that Altman was breaking something and so on. What they're just doing is making his reputation, I don't know, launching a new project, raising new money or something. And there, um, it's quite interesting to read all these stories, because, with all these turns of history that happened to Altman, there was always a feeling that he was wrong. And here, this story starts to go a little backwards and shows that it's actually white and pussy. At least that's the impression when I read the news.
With big people, uh, I like it all the time. They say today: “I love red." Tomorrow they say "Green." And the day after tomorrow, they say, "I don't like any colors." And then there's more. And they change all the time, all the opinions and every month. And, of course, there's a lot of information here, very much, uh, information, but really interesting surveillance, especially you just mentioned Y Combinator. And I'll say again that, of course, Y Combinator, uh, interesting to see, what's the dynamics of theirs and what's the next 10 years. I'm curious to see. And OpenAI, what's the dynamic, yes, in the next 10 years. Still, the OpenAI is where he is, he's still in the control of Sam Altman, yeah. I'm a pretty serious person with a serious, a-a-a-a-ha, with a lot of weight, experience, money and all the others.
Where you're interested, read this note because there was, for example, a story that, uh, Y Combinator was investing in OpenAI when Altman was the director, if I wasn't mistaken, in Y Combinator, and now. Cooperated or was again at the work posts in OpenAI. There was a conflict of interest in that regard. And that's the move.
I mean, it's curious to see this story.
Yeah. I mean, it really surprises me a little bit, in the way that Sam didn't have a history before, there, like, a super successful company, yeah. I mean, if Mask proves he can build a totally big project, and everyone can close the eyes, which he makes five projects at the same time. It's hard to say that Sam is, well, at least 19, it was hard to say in 18 that Sam was in the same category. And that Sam was working as a couple of years at Y Combinator and in OpenAI is a little weird. So there's a chairman in a number of projects, of course. But he had, in the idea, a pretty good operating role in OpenAI and Y Combinator, and that was enough, and that's pretty amazing. I mean, even when I look at how the most successful funds in America incubate start-ups, the initial-tap incubation is a process when, uh, roughly speaking, the fund partners are going to be together there, three and three. Start a new start-up. Usually, it's not like everything, even in the process, even the experienced partners who built the companies before they incubated, they're gonna come 100%, because if they take the operating role, it's that. It usually means that, like CEO, yes, or COO is an operating role that requires more than 24 per 7 per day. So I-- that's a very amazing story. I mean, like Sam didn't really believe in the OpenAI from the start. And, well, then, it's complicated, anyway.
I have, to be honest, but it's mine, maybe it's my own opinion, with different business-related business-- different roles.
Business situation, different roles. I think that first, uh, experience is very hard to look at. There are a lot of people who have had the experience of cool things, but then they just spend the 40 years they earned, they got. Here. And they could have had a lot of things just because they had money. Aaaah, if we look at Y Combinator, the OpenAI in the last four years, they're probably both growing up. Well, I mean, could he have been a joint-- it's my, my, purely thought that I'm still saying, look at the pill, right? If you look at the result, two companies have a serious result. And two companies, both of them, and they came. Maybe there was something wrong in there, maybe there was something wrong, maybe some people didn't act like they agreed. I don't know these arrangements. I always like to deal with the arrangements and know those arrangements, actually, uh, for the end, deep, true, real, not, uh, well, I just don't know them. I guess I have that comment.
Well, there's a conflict of interest, said, was probably about the fact that he was investing Y Combinator's money in a company that was obviously involved, right? And it's kind of not ethical. You're in your company, with influence in Y
Combinator--
I think Elnar, I think if it was, that's what happened, that if it was actually, then in the United States, if a man suddenly did something wrong, then in the United States, it's gonna be 100 life-savings for it, right? Well, they're supposed to be in jail, I mean. And that's why somehow, well, I don't know what, like, he's been put in the open. It's very easy, uh, checks out, shows up. What people use in parallel, often their time and resources, and contacts and contacts, well, it happens everywhere, without it. Well, if I have contacts, it's gonna be weird not to use any of my contacts. And here, by the way, is an interesting thing. I'll talk to you about one thing. I was the CEO, a big company in education. And I remember, the shareholder, like-- one of the company's shareholder employees, one of the shareholders, he says, uh, other people, "Well, they're a reputation, being in the role of directors or directors general, They use the company to move their personal brand. " And we were doing a big event, and there, there, a million people saw us. I say, " Are you sure you don't use our name to keep you company? " That is the same question: on what side to watch and what to analyse, and what to do. And I think it's very important, uh, well, a little more detailed to know the details to understand, uh, which ones were exactly that-- who were exactly what they were.
Well, the main news here is that the campaign started to redeem him in the eyes of the audience, so, let's say, all this story. Of course, no one's ever gonna know the arrangements, but there are some publications that say everything was really normal, that is, for some purpose--
No, you call it a derelict or some media call a deregulation, right? I mean, here's--
Okay.
I'm saying I-- I've been making my point, yes, in the plan, I've been making my opinion out of the idea that even 40 media will write that. The question is always, uh-- that is the opinion of these particular media or those people who speak. There are people who don't even give it to them, and there's a media that doesn't give it to them, yes. I mean, it's just me, my saying, it can be a waste. Here we three have expressed our views, each of them has such personalized on what happened to him, especially when he was fired. That's ridiculous. In a big company like OpenAI, like they fired, hired back, then changed. People who run billions of dollars sit down, shareholders run. There's a Microsoft who said, "You'll get a job, you hire, everybody gets out." It looks like a "mocking" just a sour, you know? I mean, if we really see it, we'll see how many people-- that's how they all need to be fired, all the chapters, there, Microsoft, and that's it. All the disinformation is being released, then they're recycled, then back. I mean, this is a bad process. It certainly looks very, very interesting.
But this, this is another, uh, yeah, it's mine, uh, just a little more detailed if you watch this picture.
Yeah, and as many people think that, well, there's a risk that it'll happen again. So, Suzkewer left as we discussed, uh, the head with them, uh, like the other SO team leader with Suzkever went to One-One Tropic, and a number of other cool wrestlers left. And that, uh, that, of course, puts it under, under, under the punch. And I think that's why Ilona Mask gave money because he's got a very, very strong skills to keep key people out of his hands, right? I mean, with the mask seemingly... I mean, if you just watch, and Sasha, you're 100% in agreement with you, because if you judge it on the surface, social media, it seems that Ilon Mack is a superopinionated dude who's hard to deal with, I'm sure you're not gonna be able to see a man who's got a lot of things in the world, and who's very, very, very, very, very inconspicuous, so, at least in America, look at a lot of things. And on the other hand, Sam seems like a super, there, poetry-- like you-- looks like a super-smart, very politically correct man, where-- who doesn't say anything in any way, and so on. But, yes, M-M-Musk has a lot of different business, he's successfully working with engineers, so the sellers are completely different from vertical. And, uh, he-- he doesn't-- there's no story to get away from him with strong l-humans.
Yeah, where people go, we never know what the circumstances were, right? He had a couple of briefcases there. But the question is, did these b- people show a friggin' result or just sit on some of the posts where he took them off? He's a fan of getting someone off.
Yeah, but it's just to keep people from relaxing and moving things dynamically. Because there's always a, uh, in the leadership positions, a desire for people to do, uh, less and a back-up, covering some... Just not creating new problems. Nothing to do without creating new problems.
We're gonna have the longest graduation today. Well, big, big. Uh, although we are, uh, good, interesting, different views have been taken. We're going out once a week, we're on Sundays. ToTheMoon Canal. We also have Instagram where we put out short videos, such incendiary moments of interest. Technological news, technological news, world. Of course, we're very much focused on the U.S., the Silicon Valley. Three people from the Silicon Valley are broadcasting, and I'm from Irvan today. We're always four men, um, the same. Here. Guys, thank you very much. Sasha, Elnar, Tanya. Sasha, Sasha, thank you all very much and see you in a week.