Look, well, it's always been, right? I mean, only now AI engineers have started to be so valuable, and now only now, a trade secret to AI is worth tens of millions of dollars. But in a trailer, and in any type of triple there's a HFT trailer or a less frequent training, there's often a non-compete for two years, but it's not a payment, is it? I mean, just this guy, when he leaves the company, he can't work in any of the competitors for two years, and this is the non-compete, he's raising a wage like that up to millions a year, Because, well, as far as you're outside your sphere, I understand you're not going to be some super-specialist, but just a middle-made developer. So Google's not slavery, actually, it's even them, well, because they can't get a non-compete enthusiastic in California.
Do you remember, Ilnar, on the Silicon Valley? Remember, on the Silikon Valley, there were guys who were paid a million dollars. They were sitting on the roof waiting, not working. Here.
I'm saying it's even a very boring life when you can't do anything. I don't know. Kaiphovo is one month.
Yeah, that's what it was.
I wish I could.
Everybody would like to have a dream like that, wouldn't they? And it showed people starting to freak out about it.
Uh, it's a mouse paradise. You know, this experiment was, uh, when they all got depressed.
Yeah, yeah, yeah. And there's just some sort of analysts that aren't ready for. Well, it's in the general mass because you're losing the market. I mean, if you're not actively working on, uh, modern technology, on, uh, modern business, if you sit there so long, you don't do anything, the market's gonna be gone. I don't think you'd be as good a specialist as you would if you didn't get in like this.
Well, as you can see, many people, in fact, super engineers, they always think they have other possibilities, yes, and accordingly they can, for example, launch their start-up at that time, not sit and sit. Make a lot of money on that. Judging by the way we get to the beginning. Hello, everyone! ToTheMoon Canal. Technology news and sites from the Silicon Valley all over the world.
Yeah, I think it's disrespectful.
They say, stop hiring people.
I don't know how much more credit is for Ilon's speeches.
I think Sam Altman is in this case a hack. AI was able to make a million, two, five net cash per year. Just because it's more effective.
Yeah, well, what I've been doing for weeks now takes less than a minute.
Just what we discussed that former OpenAI staff under their start-ups, this is Suzkewer and the World of Murati, give huge money, huge rounds, huh? So, Suzkewer, two billion dollars now, is worth more than $30 billion in the evaluation. The world of Murati is like more than two. Yesterday, the news was that she was more than two billion. I think they're gonna get any money, right? A little bit of a hard time starting to think what billions are for. Before, remember, when we started filming, there, first editions, billions of dollars of investment, it seemed a lot, you know, it seemed like a lot. Now that some company comes in, you're looking at it, and there's a Microsoft investing $80,000 in infrastructure.
You're like, like, eighty-six, that's not clear. It's been the other day that NVIDIA invests in production, uh, and servers for five hundred billion dollars for four years. Actually, I think $500 billion is in the American market as if it was a standard, right? So, Stargate first said about $500 billion, then Apple said about $500 billion, then... Now, by the way, Trump has been saying that Meta should give $400 billion or $500 billion. I don't know where he got it. I guess that was some news. And now NVIDIA said they were planning to build and collect supercomputers for artificial intelligence and a total cost of up to half a trillion dollars over the next four years. And they're launching a production process between-- together with the TSMC. I'd like to say buy NVIDIA shares, TSMC, but I won't. Given the current American market, and the red spots that are produced in the American market in terms of equity. Well, they're planning on a new plant just like the TSMC in Arizona to collect, collect these chips and do these chips. And as it would be, it matches the US policy to bring back the industry, its own chip industry to the US. And at this point, we'll put a mem now and show us a mem, like the Chinese have spread all over the Internet. You saw this mem, how Americans work in American factories and make America Make Great Again. Have you seen this mem? It's--
I saw it.
That's very funny. Yeah, that's very funny. Here are the audience, look.
Actually, it looks very defensive like that.
It's a joke.
Yeah.
No, it's a joke, Tanya. Sure. Look, it's a joke. I do not support repatriation in any way.
I don't know, I had a mixed feeling, you know, kind of funny, but somehow it's a bullying of all Americans, because I'm living in this country, I've been kind of uncomfortable with this. They're all like, like, super weight and blah blah blah blah.
Yeah, they're all over weight. I mean, I think there's something wrong, what's done wrong, I found it, and now I'll show you what's wrong, what's wrong, I think it's probably not nice, right? That's not nice.
Yeah, I think it's disrespectful.
Yeah, it's just disrespectful because they show all people with extra weight. But what are they right about? They're right that it's impossible to take and move high-technology production of peace, and, uh, sharply. Oh, I mean, it's not that years, it's years, years, years, years, years, years, years, years, years, years, years, years, years, years, years, years, years, to be moved, to be done. As I said, um, my former partner, a US-dollar billionaire, "In Russia, they'll never make an iPhone because in Russia they can't make a button." And he showed me on the iPhone one button and said, "They can't do that button, so iPhone they'll never get the whole thing together in their lives." I think there are types of production that can't be done. And by the way, there's a calculation that if they move Apple's phone collection, for example, in the US, the phone starts to cost $3 and a half a thousand dollars. Ia, well, I would, even if I could do that, I understand, the factories would have built it all, the assembly would have done it, it wouldn't have cost it less because of the wages, there, because of the cost, well, The rest, the infrastructure, the real estate, the type, the rest. Here. With the NVIDIA supercomputer, I think that this is a move towards, a lot of money is now being turned into chip production. And I want to point out that we've been talking about equipment for the last six months, and that's a little less about equipment, less about it, I think, when we get here, after, especially after, The emergence of things like DeepSeek, companies like DeepSeek. But I'm in person, I'm still in the middle of a total confidence that, uh, unbelievably, someone with a huge infrastructure in terms of chips, from the point of view of computers, from the point of view of the super-powered, electricity and everything. And yet we don't know the end, because there's still a hidden part in China, which is a hidden part, but still that America is there, and NVIDIA, well, very, very serious in this regard, very serious, that's, well, that's a fact, right? Or how quantum computers move very much there, there are projects inside, like Google, there, right? Here. I think it's them or there, Meta, they want to do their chips. Well, how long does it take? They can't create NVIDIA. What do you think? Or you don't need that much, aaaa, you don't need equipment and chips that much? And the audience, write off, please, what do you think about this? Can we create without such infrastructure? I think, by the way, a lot of people, and I had comments on Russian business yesterday. I said that I think that there are a lot of people in Russian business who don't know that there's a difference in access to technologies that are, for example, in America, and access to.
The technologies that are in Russia. Here. What do you think about the equipment?
Yes, the equipment is a very important story. It's like that famous gold fever anecdote, right? Makes those who sell shovels, not those who dig. So NVIDIA and the companies that are involved in infrastructure, but it's not just chips, is it? It's also the collection of all these businesses, the maintenance, there, the continuity of the other. These are all very important stories, too. And as sure as it is, what's gonna be on this chaip, even if it works out that at some point, neurosets are gonna blow up, and they're gonna think something's wrong, it's gonna be necessary anyway. The computers are, in any case, very large. M, on the other hand, is this a critical story? Aaah, not as critical as I think it might seem, again. Because there's a story with big models, and it takes a lot of time, a lot of resources.
A lot of time, a lot of resources. And there's inference, like, yes, when you just use the model. And when you get there, and, uh, DeepSeek open source, you can spend a little more time on basic model training, you can bury it under your task and then use it. Yeah, it won't be, there's a good model for the most-samat. But somehow, you're not gonna be on the side of the road. But in any case, of course, iron is needed.
Sasha, what do you think from a critical point of view? That's how critical. How much? Oh, well, again, I'll remind everyone about DeepSeek that there were different things that were described, including that they had a big purchase, there, NVIDIA, uh, maps, and, uh, we don't even know what exactly they're wearing, and that they taught how they taught. They've done it on top. Uh, what do you think of criticality for equipment?
Oh, I'm very hard to comment on what's going on in China. I don't know. I mean, I'm surprised, yeah, what is there, to be a MD chip, they're so competitive. But I think that, well, as the targets that Trump pursues, they're right. Well, that means America's getting really tired of production, and he wants to nivel it somehow, right? Well, I mean, the target is understandable. Everything's in detail, right? So the devil is in detail. I mean, we-- do America really have a good negotiating position right now, we don't know, do we?
If she is, well, it's a good chance to pull more sales to himself quickly.
I want to go back to the beginning, to the subject that was discussed on slavery. Ildar, what you said about people who pay big money and who gets fired. There was a case in the market when Jack Dorsey, he, uh, Twitter's co-founder, yeah, who doesn't know, he fired nine hundred employees at Block. That's earlier Square. And sent a letter to all the employees, claiming that he fired people not because he would replace the artificial intelligence of people. And there's a situation like this. And here comes the memory that the AI will support, not replace, and that it's just a standard automation process. It's interesting there were different discussions. It was written generally that it was just an automating company. Well, from the point of view of artificial intelligence. I remember, uh, times, there, 15 years ago, when new systems were introduced, different disk managers, there, ERP system, CRM systems, computers as a whole. As a large number of discussions have been held, it has been a time when such technologies are available that the number of people will decrease. I mean, if there's a technology, like, better selling, then the salesmen are just gonna sell more and they're gonna be assisted by a CRM system. Or there's something better at the job. In the end, well, the number of people grew up again. The number of systems and software has just grown catastrophic, and it's even bigger, right? Just like the number of developers has grown catastrophicly. It just grew up catastrophicly everywhere. I don't see this shift. And there's a company like that, it's in San Francisco, we showed her billboards somehow, they're very cool. Let's see now. They say, "Let's go hire people." And then there's a huge article on TechCrunch that they've attracted a new round of investment, there's $25 million. And it says, and this company, it means this Artisa-Artisan or Artisan. I don't know how Artisan is properly read. This company Artisan, it hires people, and it hires. Although they have a slogan, they have a slogan: "Come on artisans, not humans." Here. That's amazing, isn't it?
When a company that actually develops AI agents.
These guys are really good at marketing and PR. With all these Stop hiring people billboards. They issued a publication on April 1st. The Director General wrote that, "I quit because there, I'm gonna be replaced by a CEO with artificial intelligence." And then, "Ha-ha, first April. "Shit." But as news shows, all this stuff was taken. Shumikh's up, and as they say, they say. But again, it's all standard fake it until you make it. Yeah, I mean, you fool people before you can do it. They, I understand that, as long as there is no possibility, there is a full replacement. The cabs they tried and even introduced into companies were not all too far, and a part of the clients refused their services. But this is a start-up story. Young entrepreneur, twenty-three, I think he's been in years.
Twenty-three, yes.
Y Combinator. Yeah. And, as a result, it's marketing, it's a very nice company that made it on the pyre. What's the end of this company? Will investments be made and, where, would those who invested in this company be satisfied? That's another question. But marketing and PR guys are really good.
Well, they're in San Francisco hanging a billboard, "Artisans won't complain about work-life balance." That's what these AI agents...
It's true, it's true.
Artisans won't complain. Yeah. Yes. And we're just thinking about the Google story, where people pay millions of dollars, there's $500,000 in pay or $320,000. They complain about not working for them. Yeah? I mean, here. And that's very, I think it's a very good correlation, such a connection. So when people complain about paying their money, they don't have to work.
And there's someone in the middle of it saying, "Get the agents who won't complain about the work-life balance." And we see a totally reverse story. I think, by the way, the Gogle story, uh, with the wages, and Google officially stated that they had 75 or as many percent of the manufacturing and development done with AI, and that's all. Use the AI and put the AI rate and a bunch of everything else, show that any improvement in the coding technology will, in any case, have, at least, at present, at least in any case, Engineers. People will still need people, people who will be involved in simple processes. I can say that the world has done, uh, millions-- not, hundreds or dozens of millions of sites, millions of different types of software that all have to support, adapt, update. So all this will require different kinds of developers, repeaters, testers, analysts, designers. It's all gonna have to be done because it's still hard, it's hard, it's hard, it's not real hard. And the more the soft comes, the harder I think I should do. Here. So the introduction of agents... We, uh, would like you to issue, by the way, on a case-by-case basis, we're now getting off, uh, getting some extras. Elnar just released, and he left the release a few weeks ago with Elnar.
Hello, everyone! We've got a pilot run today. If you find that format interesting, write it in the comments. We'd love to keep doing this. And tonight we'll talk about the beasts.
Aah, and ah, well, good, ho-- that's very useful. Many of you have seen it. Who didn't see, look at the canal. Aah, this short extra edition is a promo.
We'll be doing these episodes in the week, uh, Did you, uh, want to see the AI agency issue? I think it's gonna be very interesting to show you what's happening now. So many AI agents have been released. Amazon announced they're getting a I. agent. So Adobe released a whole infrastructure for AI agents. I'm not saying that the OpenAI has a huge block with agents. Aaah, tell me what, what can really do with these agents now? And can we do it? Can you really replace the process? Or is that a very expensive thing for you? Oh, and it depends on what kind of abode you're in, which country you're in, huh? That depends very much, by the way.
Unreal. What do you think about-- I-- what I want to start the discussion today, I think she's very important about AGI and all the words about AGI. We will recall the end of last year and the beginning of this year. Sam Altman, Ilon Mac. They said that AGI would simply be a super-intelligent, not a current level. It's not multimodal, so the system will be a type of top. And they said that GPT would be five. And here, Sam Althman was a few days ago, uh, released the tweet. He said that, uh, they're gonna be out soon, she's about a day, day, and maybe she'll be out, she'll be here. There's got to be a three-minute model and four-minute model. I'm a co--- very much using a model of one about rizoning. Yeah, not about one, but about one about being rizoning. I mean, it's a basic system for me, if I need a smart answer to get real. And four and a half GPT I use for, uh, just a mass collection of some kind. So they're gonna let out three, four, and they-- he said that GPT five would be in a few.
GPT-5 will be available in a few months, and GPT-5 will be cooler than they even thought. I mean, he's gonna be cooler, he said. And he said that, well, we were hard to do it than we thought. What's weird, to be honest, is very strange to hear it. Well, logically, it's hard to do, but it's gonna be cooler. I have a question. I think Sam Altman is in this case hacking because it says that GPT-5 might have the largest number of parameters, like, a million and a half. But I think AGI isn't about the number of parameters, is it? It's something completely different. It's a system that must be smarter, there, a man or a man, yes, a lot of things to do. And that, most likely, GPT-5 is just gonna be some single collection, maybe one of the models that's gonna be chosen among themselves. Well, the number of parameters is already hard to figure out. There, one better, three, four. There, Claude, DeepSeek. It's all messed up, and everybody's already stopped watching these updates. It's not like it used to be. Three and a half GPT chat, there, that was four. It was a total incredibly... three-three and zero, yes, it was a fantastic difference.
What do you think of AGI in two months from OpenAI?
I don't know how much more credit for this Ilona ma-- oh, I've already moved to Ilona Mask. Sam Althman and the company will still work. Well, the Mask's the same, right? There, too. The same Cybertruck, he's been putting up for years, but they still keep using it. I mean, this hat, which, uh, it's got some extra glasses, I don't know, with shareholders, someone else, to keep a market share, some media, to support or something. But everything with AGI in two months is very unrealistic. The new model is emerging, but they haven't been fully cleared yet. The news is, they're four, five of API access is cleared, and four, one comes in, and it's only available through API. And they go into the coding area. So they're doing some kind of model there on the anthropic side of the code. You're saying that four more of them are already out of the way. And this whole model zoo, he's already, I think, in it, I don't think there's enough to know. And with AGI, I'm closer to Jan Lekun and to all the others who said that this technology would not be a technology, but it would achieve something fundamentally new, right? There's probably something in principle that's gonna make it a better result to get the AGI side or there, and, uh, hit all the other baccalaureates.
Well, it turns out that AGI is, basically, how can it be now, so it can be in ten years, right? Or not to show up. Well, if we're talking about real, yeah, real artificial intelligence, not what's being done now.
What's your mind?
In a month, China will release some AGI, as usual, or a week later, but in the American market, I can't believe it's coming.
Well, I think the OpenAI said they're making agents for the design of the soft, right? And they'll have three types of agents. They call the operator an agent, don't they? And it's kind of sad. I mean, if they think the operator is an agent that no one uses, well, that's what the fuck it is, right? Oh, so I'm just, frankly, a little confused, so I'm gonna be honest, yeah. I mean, I'm a little confused. Will we see real agents or not? There was a lot of Haip with Manus, too. I'm confused. Anyway, how Manus works on the side of this impressive, but I don't know where it goes. Honestly, I haven't seen anything practical agents yet.
Well, you're talking about us-- how-what is the mass introduction of something or something that's really done, and that's really working and doing things.
I mean, it won't be a massive introduction.
They're just something--
I mean, you-- yeah, I mean, you'd expect, you know, we'd expect some kind of enterprise, some company that's faking, I don't know, 50, 100 thousand a year, right? For some deployment of some agents for some workflow, huh? But something more than customer support, yes, which is more interesting than specific. That's not what it smells like. It just doesn't smell like shit. And that's what Manus, the OpenAI seems to have nothing. And it's sad. I mean, maybe. I mean, maybe two years Prompt engineering will be dragged by the next two years. Maybe. Maybe. Well, we're a long way from being a real agent in the sale. So we're seeing the same thing in our own way. Not possible. Impossible. Well, we understand how much we don't specialize in enterprise sales, but if... But as long as you change your workflow under AI, people aren't ready.
So big marketing companies, they just want to test. So they want to work with models.
What I see now, of course, that a large number of companies are starting to go down, especially large companies, to make some sort of decisions, right? And that, for example, Adobe and Amazon went on the subject of agents, I think that, uh, that's the whole point of the right strategy. For example, Home Depot has been released, shops that sell various construction products in America.
Like Leroy Merlen.
They let out a smart fart. They're gonna let-- yeah, like Leroy Merlen. They've produced a smart fairytale for the seller, and that means that the seller can ask any questions on this fairway. ] ] ] ]]] ]] ] ] ]] ]]]]]]] [s But when I hear about this, about these products, I think that, "Ain the end of the day, you should spend money?" That's what Amazon did inside his AI assistant, and he was totally pointless. And for six months, we talked about him six months ago, and I never used it. So there's no real innovation and no utility. So, the arts are clearly now the modeling is starting to be a little slow, but it's definitely not a GI, is it? There are serious decisions. For example, Insilico Medicine announced that expe-- and that the experimental drug developed with artificial intelligence had been officially named X-certificate, right? And they say that's why it's important that it's one of the first cases where the artificial intelligence developed a molecule of drugs that was pre-appropriation, name achievement, yes, to itself. And it is clear that, now, in all spheres, everything, more and more, makes analyses, studies more and more. And I always call for the use of artificial intelligence in the ordinary, not professional, home, to ask questions. Oh, there you-- I had a situation recently, like, when a dog verbed on the street. I took a picture of what the wound looks like and what the cage looks like, and that's it. And I had one answer at the beginning when I attached photos to O1 Pro, he was changing my answers right now and he said that, according to the stain, such details should be done here, that's, that's, that's, that's that, that's that. And I wrote a veterinarian in parallel, and I realized that I, uh, had a model that was a thousand times more cool than a veterinarian. I'm sure I'm in control of him, but I'm actually in the middle of a medical analysis, a photo recognition, an X-ray analysis, a C.I., an opinion, you know, just catastrophic, right? Or looking for this one that can now be done with deep research. I think it's just a know-how, a move forward. And these cabs-- it's weird that companies like OpenAI, they don't do that much, do they? Or X. They don't tell me about this user experience very, um, very tight, but they just give up something. That's how Sasha says the agents released, and who's actually using them? Or the models above the roof, they've released O3-mini, o3-mini high. Why did they let them out? Is that who the company in which is gonna be able to handle this whole bolot and practice?
I can't even imagine that.
Well, Midjourney has a lot of versions there, too. I don't know, it's a general trend, I think. Although you always use the latest version, there's access to everything. Maybe there's some unexplained logic behind this. And I wanted to add ChatGPT to the defense, but they didn't remember, a week or a couple weeks ago, they started these images, yeah, the images are actually really cool at some level. I mean, if there was a leader in Midjourney, but he's completely uncontrollable, this Midjourney, that's where he's doing his own thing, and in the interior design, he's not much to use. Well, if there's a concept, there's something out of its mind, that's what it is.
The worms. There's a lot of cleaning up there. GPT chat is a good performer, it's clearly on your prom, it creates what you're asking. And I've had this for the first time, like, intercepting the spirit from how fast they've done the jump. I mean, even I'm on all the designers' discussions, watching people react, professionals.
Everyone says that, well, okay, that's a question, that's probably six months when GPT chats completely clean three d visualize, it's gonna take it under. I mean, well, that's a huge advance, in my view. I don't know how much I've been generating pictures, I guess, like, five hundred in this time. Well, there's still some progress they have.
Look, Tanya, I agree with you about 100 percent of what I think I am. I mean, now, the most likely thing I think is that small agencies, like small and medium-sized agencies, that can move fast to Gen AI, will move, just, well, how can they grow up? Yours, your marge, is a lot, every two. Well, I'm just saying, I'm really talking about my finger, and that's it. How much more likely it's gonna be like this for the next two years, huh? I mean, it's just that we might be just in the process of some of the areas, starting with a little market redesign, and it's like it starts, well, it's just gonna be a dollar. millionaires, but not from the point of view of some paper equity, but from the point of view of those who have introduced themselves in their niche, right?
Mm-hmm.
Here you-- at the expense of the generative AI, you've been able to make a million, two, five net kash a year.
Just because it's more efficient, you can do a little more like that, right? That's it. Maybe we'll just stop at this, what's the matter, right? That's how hard it's gonna be to scan big organizations, it's gonna be hard to get there for Dentsu, there, for-- there, WPP, for these dudes. Yeah, but maybe we're just at a time that not only early adapters, but, like business professionals who use models now, make millions, earn more. millions a year, by the fact that they optimized the process. I mean, it looks like the most realistic way to go.
Yeah, well, what I've been doing for weeks now takes less than a minute. Well, I understand quality is still weak, but again, it's probably a few months.
Sign the audience in the comments, it's gonna be very interesting who, who, who, in all, has increased their effectiveness. And it's not even about efficiency when a man can do things differently. I think what Sasha said right now, now, now, it's really cool for the time-- it's just that it's a model level now to make a lot of cash, yeah, it's just, I'll make a cash.
I wanted to, yeah, just say, yeah, that maybe it would be helpful if we were to be put in some skirts, a list of skies, and we'd be in our extra editions and covered in those episodes. And maybe again, the commentaries could also be throwing a s-- for skies, for the skies that will be asked, their prescriptions for what tools they have most
effective and are going to make.
Yeah, write it in the commentaries, it's really fun to see. It is still interesting to add to this subject. The interesting story in the U.S. is in the regulatory environment. If last year we talked about what California is, remember, creating an act, and this act is where the governor is talking about the parameters and then everything. Now, this is a very interesting story. So, this clash is going to be huge between the federals and between the states. Almost nine hundred draft laws on artificial intelligence in the forty-eight state legislatures are currently being considered throughout the country. Nine hundred bills, you think? And now, the whole-- this big wave went that big companies like OpenAI, Google, Microsoft, they call publicly Washington to pass a single federal law and accept a single federal law. Decision. And they wanted to make a decision, like, let everyone go, do what you want. But you can't really do what you want, yes, with artificial intelligence, because you can put a lot of pressure on the government and say that we'll all be allowed. But you can't let anyone anywhere, like artificial intelligence in medicine, everywhere in social services, there's a solution, you know, there's a lot of questions that, you know, raise, collisions. Not enough of these systems. What are these systems, how exactly do they do, how are they, what are they regulating? And now the time is unrealistic. There are countries that are even less developed, yes, with less access to technology. Whoever's been a little bit of a psyched and sorted out in a normal day, as it is to be used, can improve his, uh, activities just once and for all become more efficient as a professional, and more effective as a professional, and more effective as a way of becoming more effective. Businessman like an entrepreneur like a hand like that if a man does something, quick, quick, some sort of solution. It's funny that people ask a lot of simple questions that can now be resolved through such systems. They just don't know, they don't have a mind, there's no mechanism to ask these questions, yes, how they're gonna be dealt with with with the system. And I wonder if there's still no system that helps, helps a man write a prompt, impolite. I mean, when I use deep research, I'm asking, for example, to study, I say, "I'm sorry, what happened, I don't know, in the glass market this block, in Europe." And he's just going to study something. So before he went to study, he'd be asking me some extra questions, I'd ask, he'd ask. It's the only place the system asks. I can't say that it's super quality, but the system's basically asking. If the system asked, then I'd have checked it out, then I'd have checked it out.
That would be, of course, phenomenal progress, just unreal progress. Again, it is unclear why the market has given more attention to the emergence of Manus than to the stuff of deep research. Nap-- well, do I have this? That's the attention. Because deep research is more, more mass history for people than Manus. Although it's clear that deep research is limited, I think it's ten. Illnar, how much in the cheap version of GPT chate has deep research? Ten grand?
I don't remember, but I'm not tidy. I'm doing two or three, I think, a week.
Not more than ten, I think. Yeah.
Yeah, probably not anymore.
I think it's not more than ten. Not more than ten a month, huh? Sasha, ow, ten a month, yes, Ilnar?
A month,
a month, yes.
A month.
He says to me, "You'll be the next one. "
Yeah, I think I have more. I don't remember there's more than 100, I don't know, 100 or 40, or 150, I don't know, or two hundred, but a lot of it. I haven't done it yet, but I've become a lot. I'm three, four a day.
By the way, this is the first time with these pictures when I thought I'd go over my story, but I don't know if it's gonna affect the quality of the picture, or I'm not gonna be the best.
At this point of time, Tanya, we just need to get ready for a month. That's a very good decision. In fact, if you have the opportunity to pay even once. And it's clear that for many people, $200 a month is a huge sum, that's $2,400 a year. Yeah? But if there's any way to pay something in some systems, you're using free now, and you're worth $20,000, you pay, try and make a month with it. There's a big, big plus. Now we're doing this video system right now, just buying different video systems and testing them and testing them. Then you're gonna shut it down. But if you don't buy, you won't try, you won't even know what the difference is. You can't feel what's different. There, one pro from one. Yeah? How do you know that?
Comparing how much I pay three D visualizers on the outsourcing, it certainly is untouchable with $200.
So there's a financial point here. Okay.
In the pictures, there's Canva here, released the apegreid yesterday literally.
Yeah, yeah, yeah. I'm not getting it out.
They showed, saw, right? They showed that you can do just a real amount of everything in Canva. Like for me--
I love Canva.
It's gonna be very, uh...
Yeah.
Yeah, I'm gonna be a very strong move if the simple models show up, you know, like, a little bit of a job-oriented imagery when I can, uh, do some stuff, I don't know, in Instagram for YouTube. The cover, some kind of post in a simpler form, huh? And it's interesting to have systems like GPT chat, they'll take this function or whatever it is, it'll be in systems inside, that is, inside Instagram, it's gonna be inside Canva, it's inside, there, Figma, you know, I'll be inside. I'm just wondering what systems migrate directly to things like GPT chat 'cause they've done GPT, they've done all the same, then they've done those plastics, something else.
They've got nothing yet. Yeah? That's not what we see.
Well, at least for my presentations, I've stopped using.
Yeah, and I stopped using a f-shop. I'm doing everything in Canva now. I'm gonna get a picture of some bulbs, I'm gonna have Canva. Very rare Photoshop.
But in the Photoshop, by the way, very cool AI instruments. Yeah, it's very complicated, but it's got very cool AI tools in it. Adobe, in fact, AI, in terms of video--
Yeah, they're really cool.
And the photos, they're there, they're really cool, but it's hard to use. I've been trying to look at something for a while. And while I first ran into the photoshop, I don't know, in '98, I don't know, that's when I was, yeah, a long time ago, I guess I was ninety-eighth.
He was already.
Yeah, yeah, yeah, yeah. I think so. I think, uh, we'll see the Photoshop.
I, I'm a lot late, so I don't know when he came in. We, uh, in Milan, I was studying, and they made us use.
In the thousand nine hundred and eighty-seventh year, the first version appeared.
Oh, long ago.
1,000, nine hundred and eighty-seventh, yes. Yeah, I'm at ninety-- that's ninety-seven, ninety-eight, and we're using the Photoshop. Then, of course, there was a small number of tools, and that system was very complicated. I always remember these layers, and I had to understand that. And I think even systems like Figma are more sophisticated, they've made this point of entry very simple because the Photoshop didn't do it, it's not easy. Uh, it was very difficult to think of. And you--
Yeah, I totally agree.
To make some changes, I still think it's easy for people to move around with different transparencys and all that stuff is really hard. And whoever lets out, uh, can, if ChatGPT, for example, in the system can handle it, they're gonna get to that level, it's gonna be unrealistic. But they say there's some systems in the windscreen, right? They might be able--- they'll be able to do a lot of things in the mood soon. Thank you, everyone. I'll see you in a week.