Hello, everyone! We're on ToTheMoon. Technological news, Silicon Valley sites and the world from the USA. Uh, we're going out on Sunday, we're always four people. And you're starting to go on your side, attracting others. And you come in and there's a show, of course, you're on-- you see who he stole. He stole other robots.
Sometimes, some auto-producing people say, if you hijack our car in an hour, you take it. Yeah, that's exactly what it is.
And these systems are not connected to each other, there, agencies, I don't know, FBI, CIA, uh, local police.
That India is going to have a big neurosette training chauffeur.
C-Cookerberg and Trump, I think he had lunch, yeah, just a couple days ago.
And that's good if, uh, Facebook has a direct communication channel, right? And one of the reasons is to connect yourself with this future big chab.
What if the country is off the Internet? What's going on? Well, because a number of companies have the opportunity, uh, some countries have the opportunity to cut someone out straight. So I still want to start. I think that, uh, the news that shocks and when you read it first, it's really surprising. Robot stole others.
And you're starting to go on your side, attracting others. And you come in and there's a show, of course, you're on-- you see who he stole. He stole other robots. A little robot at the exhibition in Shanghai came to another 12 robots. Robots used there, in the cleaning of the room, are probably driving around the exhibition, and, uh, he's all... It was originally like a test system where he transmits some information to them, and they're in some way in contact. In the end, this little robot, he's on his engagement scenario, and this scenario of engagement has come out of what he told all robots that it's time to leave work and come after me. And then he, he, uh, hacked into the way he walked in, I understand he didn't come in on the scenario he was. He has a separate protocol to communicate with robots, which is not a safe line, conditionally. And he said on this unsafe line to all robots we were leaving. What's so shocking if-- and they're all gone, huh? What's so amazing is... Well, we know the details, but we always know a few things. We just didn't participate in this experiment. Not much of a relative experiment. What's amazing is that there were no, uh, robots that do there, Elon Musk or, uh, some supernatural modern systems. There were simple, simple equipment used in a normal life. I mean, it's a condition, if we had, I don't know, there, uh, vo-- something that can move, right? Here. And I mean, if we had, there was a sketch that could move and could be managed. I mean, he's a or a camera that can be controlled that can move. The cameras are just not moving, but in general. So he basically gave abso-- well, a drone, probably a dron, yes, or a drone, if it's flying, he might have, in the idea, sent another signal too. I think it's very interesting. It's like a case like that, yeah, like a script, actually, a scenario. I mean, if we've already described what, in fact, a big robot, uh, a dangerous home to take if he's making a mistake even for one of thousands or one of ten thousand, then it's just that it's been shown here that the robot is. Maybe you could get in the soft, yeah, get in the stool. And, uh, there were some other interesting aspects, Illar?
That's what I just remember at that news, yeah.
Yeah, a little context. There's an exhibition in Shanghai, respectively. A tension, so let's say, robotics. Here we are showing the different robots that are. And from another town, I don't remember the name, I'll be able to get the news. Well, the smart folks suggested, and let's try to do this experiment. Oh, the exhibition organizers said yes, yes, I can. And that's what their limitations, uh, ended. That's what they agreed. So, this company, she sent her little robot there, and now they could do whatever they want, well, within the limits of the allowed. And they managed to make this little robot with one simple instruction that we need to get the others out of there, and he's done it accordingly. He had his own LLM, which was in there for dialogue with other robots. Well, that's what made them do after him together. And that, you know, uh, test, uh, system security. Sometimes, some auto-producing people say, if you hijack our car in an hour, you take it. Yeah? That's exactly what I'm saying. Uh, they can try their security system to test. It's a story. And here, you know, my favorite topic with neural neural determinants. So you never know how they'll show up, you don't know the full spectrum they can do. This leaves a huge number of holes, uh, that can be interacted in some way. One example, very bright and sweet, a little robot comes up and all your 12 big robots go out there, even though they didn't have a little robot. Yeah? And that's not possible. And here are security systems, management systems--
They were clearly limited, right?
Yeah. They were not programmed for that.
Yeah, yeah, yeah.
And-but the little robot was programmed, right?
Partially.
He was given such a task. Partly.
Partly.
He was instructed, he was given a target.
He started operating, part of doing things he didn't have in the instructions.
Yeah. Mmm.
Yeah.
So the method of the decision was already in motion, and the target was given. And then you'll get it.
I don't know, I don't care.
He's got it. Yeah. Where they went, I wonder, and how they lived. We can film.
So while your robot pulmonary rider drives the algorithm, it's probably not gonna happen. And if he starts thinking, then, of course, how he will respond to situations and how easily his voice can be hacked or other instruments, or something. So not determinative is a dangerous thing.
Well, even more, of course, uh, surprises a little bit of security, doesn't it? Security in the plan. There were different devices, they're on video. Surprising security. I mean, they'd be able to give them a lot of data and data. In theory. It's like a movie, uh, Star Wars, when you remember, there are these little top-up robots, and you did just a great number of things. Everyone was treated, they knew the whole infu, scanned with other robots, and they collected all the information. Very, very much, yes? It's like, uh, this is, uh-- this melota, yeah, like you said.
Write your comments, by the way. Uh, you're watching us. What do you think about China? Here on-- we've been very much up on this topic today. On China, his advantages in the technological world in AI. And some examples you might be leading or showing, for example, which countries, uh, other things, might be in Europe, maybe India, maybe some other Asians. The countries, uh, show in theory, will show that big result, too.
You want to go to what, uh, next theme? We've seen videos of the future, uh-oh, digital staff, AI agents. Here, uh, everything that's all that the cast-- is supposed to replace a man with artificial intelligence. And one of the discussions that went through the commentaries, she was related to what, well, I did quite a statement. I said that, uh, China, because of the, uh, that's very strong, uh, the government is working with private corporations, has the opportunity, uh, massively to introduce something very seriously, right? Massive, serious. And so, uh, even somewhere, uh, by order, somewhere, uh, in a big, big resource. So you have the opportunity, uh, to do something, in some country, you have to negotiate with each other separately. Everyone will say, "Well, I may be ready, or maybe not ready." And then, for example, they say, "All schools have to introduce a system, there's a model that will study, uh, every schoolboy, right?" And that's easy to introduce. I mean, there's no resistance. There's no way a school says, "I don't want to." In California, there's a clear-cut school here that says, "No, no, no, no, no." So, first of all, California says, "No, no, no" at the beginning, and then sq-- then the county says, "No, no, no." Then the school says no. And then the teacher goes out, says, "No, no, no," right? Here. And then the parents will come to school and say, "We don't agree with what you're doing." It's probably not possible to imagine in China. And we were talking about China being present, uh, and there are models of a totally different type. Sasha, and you've been talking about this private debate, which China, uh, is now looking like a totally pre-eminent country for LLM modeling. What, what-- what future is all the others waiting for?
Yeah, that's a very complicated question, uh, because agents, they have to learn reasoning to avoid having problems like robots. Yeah, that's about what we talked about earlier. And... We understand that we already see that on, uh-a, public data volumes, Chinese models are as good as American models. And in the plan-- well, European models have forgotten, right? I mean, it doesn't matter. So it's China against America, as always, yes, in fact. So if we're talking in LLM and in LLM and in reasoning models, Chinese models are not worse.
With reasoning, Chinese models are as good as public data. What's going to happen next? Well, what's next? , well, in the Consymer products, it's likely that the Chinese will be fine, too. I mean, now, the best chat-bot is Toki. Well, for the teenagers, sexing, huh? Because I took out the character fan, they stayed in Toki. The Yia is in the Consymmer, which is the best product, uh, chat-bot in Chinese, the best model in Chinese video-generation. Ah, the best fashion-- well, the best, all right, the annex to the consumption of the content in the TikTok world is Chinese too. And in order to put AI into everyday life, that is, to collect user data, it seems that China has more of these opportunities because more privacy laws in America. I think the only chance Americans have to win is to say that we have some new standard, like Salesforce, right? There's something, something new, something that needs to be introduced everywhere. I don't know what... Or I don't know, they'll say Grok needs to be put into everything, you know, government agencies, right? And now that you-- your work will be followed by Grok. And, of course, if Grok is to watch tens of thousands of people work, how they do one-time tasks in a year, they, well, Americans will gather a unique amount of data that is difficult to replicate and which... I mean, well, that's the only way. I don't understand why American models can be better. I mean, uh, as people used to think that the difference in GPU would play a big role. New methods have now been introduced that are no longer in the process of driving the difference, and in principle no further progress is planned with an increase in the number of GPUs, is it? And in principle, even for the moment, Americans have failed to implement the GPU they had. Uh, yeah, well, that's gonna be about collecting-- probably the longest-time overweight, by collecting detailed data on the modeling and the way people do one-time. objectives. But I think there's still no initiative in America that, uh-a, shows that, that's what American companies can get around Chinese. Quite the word, ChatGPT is, uh, it's like a beautiful story that he was improved on the user's fodbeck. Two hundred million users use every day. It's a beautiful story, but when we look at the result, a purely factual result, ChatGPT was made with a lipstick in Kenya, right? So people who received less than $2 an hour, that is, there's no way the use data were still available. And ChatGPT has a good quality from the Kenyan markers. And super quality... And the current latest model 4.0 ChatGPT, it's really phenomenal, but it's not better than Chinese. I'm saying that, of course, that's more wishful thinking that, there, the data that OpenAI collected helped them improve the model. It looks like there's no Americans actually hit some kind of thing. And I don't understand, um, how they're bleed-- how Americans are gonna get the advantage.
The other day, the financial director of OpenAI, Sarah Frayer, said that they'd have a billion users next year. It's 250 million now, they'll have a billion. The question is, you're not just getting users, but having real life scenarios, are you? Not just when people are chaotic, these 250 million users are asking some questions chaoticly. They're actually studying at them, too, probably somehow. But it's not the amount of data you can put on, uh, 100 million people working in a certain sector, and find out where they have a permanent pattern of their behavior, is it?
Yeah. Yia, yes. I mean, not even now, uh... I mean, even so far, ChatGPT's personneling is just... Well, as she clearly appears to be in some form, she's embarrassed that the OpenAI can't make a public offer. I mean, I don't even know, like, how this personalization works, what its purpose is. Uh, I think even on Facebook, this Facebook job better explains to the user why they need to be staffed. And the OpenAI didn't explain it. I mean, it's not clear yet, which makes them so-- that's why they're working on it, but it doesn't make sense. I mean, again, the problem is, what kind of product is that, right? I mean, ChatGPT is gonna be for the product, that's not clear. Because the movement towards reasoning is actually a movement of pro-orthonal, uh, is like a movement, actually, to a friend-- well, orthogonal, that's the other way in comparison with, uh-e-e-e, staff. I'll explain. Immunization is more about catching some kind of tone. What a man likes to be in touch with. And the reasoning is more about making this task to the end. And there with a very measure-- well, with very measurable indicators. And that's two different ways. And that's how American companies always ask, what do they do for? And why do they have a chance to do that? So, unfortunately, the more I do the start-up, the more I do with other faunders, uh, I know it looks like it's a very big bubble. And there, because the same OpenAI guys always say, "We're a vi-- we think scaling will help that scaling will help that scaling will help." And that is the product, and engineers, and development managers, C-level. Everyone says the same thing. Ia, uh, well, that's what... Well, they're probably not covered. They probably just don't have a trick. They don't know what they do for anyone. And they do, there, dozens of experiments parallel in the hope that something will be fired. So, groups out there, 30-50 people do dozens of experiments. It's probably how the OpenAI works inside. So, so Sora is the same example, right? I mean, I, uh, re-examine that's why I understand what they do for who they are. Because Sora is the direction just to the side, well, some kind of staff, some kind of creative taste. And for that, and that's the idea that it's logical to do this in ChatGPT because ChatGPT for that, you know, has to learn to understand more, there are different shades, language and so on. But with the reasoning, it's all about the other thing.
So I can't understand what the OpenAI does, and what the rest of the American companies do, in fact.
Look, there's a possibility, uh, that, given the Trumpa's coming to power, and he made some statements. He's not sure he sees anything or understands in AI, but he's still in his election campaign in one of the spring interviews saying that AI would require electricity as much as anyone else has. countries. And of course, we must develop very seriously to confront China. But clearly among the counselors and people who are around, in those-- well, in theory, there are people who understand that China is truly on the front lines because he understands it, or maybe someone about it. I said that. So someone came to prepare for this interview, gave this information, yes, that China will, uh, be a very strong player. It's been six months. Six months later, it's clear that China was seriously racing. Not much of a GPU issue, I still understand we don't know what China has in GPU. So they represent everything, and there's no one who knows, right? Because there's a lot of hidden things. Uh, if there's any chance, it's that they're coming, given that Mask is currently with Trump, uh, everywhere, sitting with him at a table all over the place, on Thanksgiving, on a bunch of other trips, I'm sure he's still moving, including, uh, Grok. Well, like you said from the beginning. Or in the American economy-- I just don't understand, Sas, as much as the American economy can do, push hard. But it might be like the State party, in theory, some systems can be, but these systems are different, they're not even connected. We all know that, uh, there's no connection to the driver's license system, yes, in different states, there. And these systems are not connected to each other, there, agencies, I don't know, FBI, CIA, uh, local police. I mean, they're all different. A lot of different, uh, different databases, different data. Oh, yeah, like, there's a whole lot of things, but, uh, people don't see each other. So, uh, you think there might be a direct mass-activated action on their side or not?
I don't know anything. I'm sorry, I just don't know, uh, I mean, I have to guess, but, of course, I don't want to guess. I want American companies to make clear what they're doing and what they want. Making a bet on electricity is good. I mean, we've been saying that about a few episodes back, that Chinese people will have more energy in 2030 than--
Just more.
...you'd have more than the next ten countries after them if I'm not mistaken. I mean, well, not more than the world, but more than that, I don't know what Europe and America have in Ro-- if I'm not mistaken, by building a hyade--- nuclear power station, right? And-and, it's just, it's a separate question. I'm not a specialist in, uh, energy, but just until 2030, with a high probability, uh, successful AI applications even to scale-- that is, successful AI applications can be before that. Extreme scale. Sorry about the tautology. And it's not very clear what it's about.
It's not very clear what's going to end up at the technological level, uh, Amerie-America. I mean, America's getting really tired of energy. Well, they seem to have caught up, but I'd like to begin by understanding what technologically means America has a chance to outweigh China.
I mean, for now, what it looks like is that the best shot is not to back off.
E, Elinar, listen, we were just discussing that NVIDIA was the leader of the NVIDIA, saying that, yes, they still-- they don't know how to fight hallucinations. I mean, speaking of a big operator who can take over all the result equipment, right?
Yeah, yeah, yeah. Jensen Huang had a quote like that just when I was putting it in the chat. And once again, the confirmation that the issue of hallucinations is not so easily resolved, is not resolved by skäling. Uh, reasoning's also kind of not making a decision. And he's just pointing out Jensen Huang, too, although he's quite optimistic about the AI because it makes a lot of money, but even he's already saying that the question is from the point of view of the AI, because it makes a lot of money, but it's a little bit of money, but he's even saying that he's already asking that. hallucinations won't be resolved so quickly. I'd be a little back to that thought, remember, last time we discussed it, and now she's got a good one about China, and that's all. Uh, how do I see that? So far, very many, so, say, the technological steps forward were made by the OpenAI. So they're on parole, there, the first ones, they're on the ChatGPT market, there's one version, then another version, and then Sora showed it, respectively. Well, it just showed, didn't it? There's access to some of the keyboards to use it. Closed testing goes through, but somehow, right? And there's the first big reason they've made. Although we have to admit, in the comments, we have very good users about the different frimetres for reasoning already wrote, LangChain and others, but these are different things. And what am I doing here? What, as long as the technological first big breakthroughs were done by the OpenAI. Many companies, when a step is taken, can catch up. And now it turns out we're in a situation where OpenAI is still, uh, not making a step forward. What she's done, China's done, right? And, well, other players are pretty much on the line, too. And I wonder who's gonna make the next breakthrough? Will it be OpenAI or will China be able to take this step? Because it looks like if you know that the task is being solved, yes, that is, someone's technological step has taken, other players can generally catch you. It is interesting to know whether China can move forward not only to catch up, but naturally, in some aspects they are already improving what has been done.
Speaking of Sora, they've been out of it, and I think there was a story about the Sora model last week, which is a video-generation model, a prom video-generation.
So you write a request and you're getting a video, right? If one of the users didn't see the releases or hear about Sora. And it was just a story that one of the companies that had access to Sora, they had access to Sora for the public. Yeah. And people and lu- and, yes, and people have been able to test a piece there. And the comments were very mixed, yes, in terms of the quality of the model ' s work. And the question is, what is the quality? So once you're saying how much you really want to hold up, to keep this story? That's what it is. They've sort of set up a search, it's working pretty well, but there's a lot of glucs, like, in language. I, for example, do not know how they deal with the problem when a person is asked in English, in English, in dozens of different countries. I mean, how does he determine where to use what system to search? Well, because if you're looking for Russian from America, he's looking for... I have a wife, literally the day before yesterday, so she was looking for, uh, a description of the goods and she was given a link to Ozon.ru. And she says, "Look, what the hell? Well, I'm in the States. What Ozon? What's Ozon doing here, huh?" And, well, it's really weird, yeah, that's a modern system to do that, right? Because Google doesn't do that, does he? If he knows your location, location, he won't give you that. And here you're going to be very clear in history. Well, I think it's a big mistake. And, by the way, which products are actually done or are in the process, well, that's how o1 Preview. We got some preview, and how far it's not preview, it's not gonna be preview or whatever it is, is it? Because there are different statements, and then the implementation is. Well, you certainly said that, in fact, who's an innovator, right? Because OpenAI was the first to report Sora. They didn't really put it out, but they showed it. Then the others did. Then they're now reporting that they have a reasoning. Uh, put it out-- or, uh, it's not like I'm saying, "CatGPT 4," what they did to him first, yeah, that level of model, and then they all got it, right? Now, here's the reasoning--
I mean, I wanted everyone, and, uh, Tencent, to be released now, a new model, that's the other level. So there's a model, well, she, she emulates one in one, like, she's the one emulating films one in one. There's no plastics or so on. I just wanted to say that Sora is, uh, the technology of the past generation of video-generation, just like Kling 1.0 and the same as Runway, like Kling 1.0 and like Meta Movie Gen. So the next generation model is Kling 1.5 and Minimax, both Chinese. And what Tencent is gonna release tomorrow is gonna be, well, it's gonna be a different level. That there are decks that I've never seen in my life, that is, they can already fake how people beat each other with pillows. I mean, you know, simulations of people hitting each other with pillows are the hardest thing, because, well, people are pissed, and it's like some kind of emotion. We can even really put a video in.
Look, I mean, you know, the interesting thing you said they did, they're making a model. They didn't actually release her any further, she stayed in some kind of bat. And it's a generation old, it's even pointless to discuss it, because we don't even know, and they've done something new or not. So they probably didn't do anything else, did they, Sasha?
Well, they-- they probably had this model back in March, April. So they had some kind of thing, obviously, in front of everyone. Sora looked very impressive in February. I'm sure they're not faecal. I don't think OpenAI's faking. They didn't know what to do with safety, what to do with the product. That's obviously the problem with the OpenAI. I mean, I think that the OpenAI is all clear: they do good, they don't know what to do with safety, they don't know how to represent the products, they don't know who they do. But not, but not faking. They don't fall down as low as the start-ups, do they? So, start-ups are often just people-- Figma, there's a man doing shit, and then designers, mouse-diseineers are moving out there. I don't think they're doing this kind of thing. But it's obvious that they had a model of absolute dominance in February. Everything that was on the market and everything that was before June was worse than Sora. But in June, Runway, in fact, yes, and here's Kling, and in August Kling 1.5 and Minimax, they've already turned Sora. And in Midjourney, as the next logical development, that Chinese will go and coach the model clearly on Chinese content is very-- because there's a little different working there. And it was clear that the next step would be someone who would stop pretending and say, "Yeah. So we want to reproduce the content of what people do. Here we made a model." Because before that, everyone was a little pretending, and it was a little bit there, there, something they tried to impose restrictions. I think that the first model of Tencent will be that they just take the actors away from the job. Before that, it was all kinds of, like, dancing around like, so no one would, well, be the first. And this one, yeah, this is awkward, and this one didn't mean to say something straight, that's right, that's right, we're gonna replace people, but here's the Tencent model that's gonna come out tomorrow, which seems to be the first model that's clearly That's exactly what it is to replace actors. So if you need to take it off, and then you take a bunch of drama, it's fifty percent of the video content of the world long, that's, uh, the show, right? In fact, of course, they say, "We're a million actors left unworked. All." I mean, I think this is the first bold move in this direction.
Well, they're not gonna leave yet, but the technology is very weak, but it's ho-- but it's very impressive.
Look, again, what we're talking about China today shows, of course, a strong redistribution of the market. Indeed, if it seemed that many countries were limited in view of who did not interact with the United States, who had a block for using, for example, the LLM US model, but, in particular, I don't know, Russia or Belarus, If they have access, or they have different kinds of countries, they'll have access to Chinese models, and they'll be using them. So this caravan is starting again. And the interesting thing is, I don't really understand this system, but now there's information that Facebook will put ten billion in it, there's a sum of ten billion or what? To build a remote-wall cable to secure their own Face-- for Meta and Facebook, right?
For F-- for Meta, and for Facebook, there, for Instagram. And connect the US, South Africa, Australia. I've had something else, I don't remember.
And the whole world is so revolting.
Yes, they will. And they don't depend on-- that's how they recently, for example, got cut, there, a wire cable, somewhere below Finland or where. Here. I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-I-
There was a similar situation around
Yemen.
Yeah, yeah, yeah. That they'll sort of make independence. What, to be honest, oh, well, uh, is that awesome, huh? Because Meta is like an American company, and she's kind of tied up there with a state level, uh, to solve big questions there. Maybe it's not for nothing, yes, it's the news. And then Zuckerberg and Trump had lunch, yeah, just a couple days ago. So, uh, uh, you-you-you look, uh, I-- that could be a big problem, right? It's always been a question for me, for example, that if there's a big, uh-e connection to the cables on the Internet, like what happens, if someone's off? What if the country is off the Internet? What's going on? Well, because a number of companies have an opportunity, uh, a few countries have the opportunity to cut someone out straight. So what happens next? The era of unprognosed, er, events are happening. And all these companies, when you look, and, uh, know how it all starts to look, uh, very unpredictable in the part, and what happens next year? So on the one hand, a huge number of people said that there would be AGI, on the other, there, Elon Musk and, uh, Samantha Althman, yes. Here. On the other hand, uh, you're all looking at it and you know it's just some kind of speech. Because it's like, AGI, uh, n-n-n-n--not really AGI, maybe fucking something they're gonna be there, they're gonna get out of here, yeah. What's gonna happen? Interesting.
The mask was passed over my kibertrax for a while. I promised him $30,000. He's in there for a hundred and forty or a thousand, a hundred, a hundred, a hundred. Big turns, other. It's okay. And with AGI, and with all the others. In this news, by the way, about Facebook, there was something interesting. Uh, one of the reasons why this cable is pulling, one of the following was identified: India has a large neurosets training lobster and this whole I-I-Shem line that India can become one of the things that India can do. I'm not sure what I'm saying. And good, if, uh, Facebook has a direct channel of communication, yes. And then, if you look at the map, how they build this cable, it goes through India, too. It's on the ocean to India, then it's coming on. And one of the reasons is to connect yourself with this future big chab, to have your own communications channel that no one needs to rent. It's all yours. And you can sell it to others, rent it if it's necessary. So very global stories.
Level, level of state-level project, serious government project, very large.
If you think your comments don't read, you're wrong. We all read very carefully, sometimes even answer. And I'd like to commend the commentator. Unfortunately, I can't read the name and name of the commentator on YouTube. There's only a set of letters here. But, uh, it's very interesting to describe our viewer that he uses DALL-E AI in everyday life. And he described the specific neurosette he was using, which, the service he uses, and the use of the boxes. I would be very happy if the other viewers also shared their experiences with the use of any service, any network. Maybe we could do the compilation and even the release of the case.
Mm-hmm.
Just showing you what services you use. For other viewers, too, it would be interesting. And for me, to be honest, it's also crazy to know what you're using.
Yeah.
Yeah, actually.
And then I'm sure we can make a compilation and show you this.
And what was there was a comment that one wrote about, Tanya, writing a-- on your subject. Given that we had been discussing the possibility of an interior design agent in the past. One man wrote that Belarus had already created, uh, Belarusian neurosynctic, which could be built, er, there, perfectly measured, er, space and design an interière. And actually, here. It's for me, as a Belarusian, a little bit, um..., uh, fascinating to see a taco-- comment like that, yeah. Belarusian neurosia, it sounds kind of a little different, uh, well, very specific, yeah. And especially that's designing interriers. We did write there, uh... Someone wrote to a man, "What is it, what is it? Show me the examples. Yeah? And really, if, like Elinar, you're just saying that if you have, uh, use case, where you're doing something cooler, or you've already tested something, or you're working in some company, I'm sure you're talking about it. I mean, it's, uh, that we're gonna see it on real examples, and we're gonna be doing it. Let's show you, look, the Belarusian soft, uh, here's the interior design.
Yeah, I'm ready to try, test, if there's any versions that can be done.
Yeah, it's very important because it's clearly clear that some sort of purification of the industry is going on. I mean, uh, those who are leaders are now Amazon, Microsoft, Salesforce, yes, in America, they didn't do anything at all in the Stor--- well, in the generative AI, in fact. And quite innovative, we see that we can go with very limited budgets, and not from America. Therefore, if there are interesting successful examples of generative AI that increase the productivity of users or organizations, you must write.
Yeah, I'm really interested. I'd try and then give my fidbeck.
Well, thank you very much. I'll see you in a week. We're going out on Sunday. Technological news, Silicon Valley sites, U.S. and the world. Sign c-- on the canal to keep our videos off and, uh, write comments. This is the channel that develops, and we're working together.
It's very interesting to read.
Yeah, until we meet again. Bye, everybody.