Hello, everybody! The technology subcategories ToTheMoon. We have a special release today. I'll remind you that we're going every Sunday, more than eighty episodes. From the Silicon Valley, technological news, mostly artificial intelligence, from the Silicon Valley, a, U.S., and around the world. I'm doing things from Paris today, but of course, the focus will be on the use of AI in every human life. I spoke to a friend yesterday and told them that I was such a big business, and I said that the best thing a man can do now is to do business to strengthen his business, especially if he has a lot of things. Intra--- it's every time, every meeting, every task, every project to think, and how it can strengthen it with artificial intelligence. Not with the introduction of automation, not with the part, the m, some new chips, but in particular, the way he is, this man, you are, and, at this point, you can, at every moment of your life, strengthen yourself with artificial malpractice. Intellect. Again, this is not about automating, it is about using artificial intelligence to produce the fastest possible result in terms of their professional growth and the efficiency of their lives. This is what this meeting is about today. And for, uh, two and a half years of strong inspiration of artificial intelligence, we are now at a stage where systems, models are very serious about getting you super effective every single one of them. The day of your life. And I'm gonna give you a set of different boxes and tools today, and I'm gonna tell you what I'm using in-- my life on examples, on different occasions. How can you reinforce yourself? In fact, there is no single standard or regulation. There's a huge number of thousands or hundreds of proms on the Internet.
Everybody's making some better requests, like doing something more effective. I say that the only efficiency, the best way to use efficiency, the use of artificial intelligence systems is to use them every day in different ways. From what you're doing in your health and from what you're doing, I don't know, 3,000 people or there's 5,000 people in your company. So I'll bring you this set, a series of different briefs, so you can move on, I think these boxes will help you start doing this in your life. I'm doing a routine every day, maybe 50 different, somewhere, maybe 100, I see, some twenty different requests, mostly ChatGPT. I have Gemini's signature Pro and now there's no Grok tops, but I have. But still, I'm, uh, personally using GPT chat. I'll give you examples in the GPT. Clearly, you can use your systems. I'm just saying there's a big difference: you use a free DeepSeek or you use Pro to sign the GPT. It's very important to you to understand. There's enough for a lot of people to get a paycheck signature, but you need a payroll. Uh, even if you can't buy a paycheck now, there, $20 or 10, or $30, depending on the system or the country where you live, and at least try from the point of view of the system. Free systems start to use daily. But in terms of efficiency, it's probably every person who can generally use artificial intelligence in his life, he can certainly pay a regular subscription. So I want to start with the examples. I'm on a trip now and three weeks, uh, I'm off to Paris. And while my family is in there with-- in the Silicon Valley, and it's in California, just south of San Francisco.
And as part of my journey, of course, I have faced a great, vast amount of artificial intelligence and I will try to tell you some of my daily examples. I've already done a similar episode, yes. Now, the updates are very strong in systems, and now we can analyse what was not possible before, yes. And there are still things that don't work in terms of analysis that are hard to do. I want to light them up and show them to you, too. It doesn't mean they can't be done, but they can't be done now. One of the last examples discussed was that on Friday, the Nasdaq market last Friday was very crowded and settled because Trump said that additional duties were being imposed in China. He said it at lunch. The market is very strong. I see, right away, so I lost tens of thousands of dollars. Well, I understand it's been bought in there for days, lost. And I go to ChatGPT and say, "Why is the problem? Why did Nasdaq fall today? And I'm ChatGPT saying, "Today, Trump said that he would impose extra duties with China. That's why NASDAQ's settled. So Sunday. I saw the news that there was a strong, field and discussion about the fact that Palestine was agreed between itself on Monday in Hamas and Israel, and the release of hostages. And I had a feeling that it might also affect the NASDAQ market. It was important to me because I have securities there, so I buy shares differently from the technology market. And I watch NASDAQ up in the morning, and I have a lot of positions that went up very much, even more than the average NASDAQ position. So I think, well, it's probably because the conflict, the hostages are out, the conflict has gone soft. I write ChatGPT, ChatGPT says, "No, it's not because of that, it's because on the weekend, Trump has relaxed his position on China.
And since the position was slightly relaxed, it's affecting." I say, "How much is the market influence, and how does the changes that have occurred in Israel affect?" "Well, it does, but a little." I want to show you this example? Before, basically, if I had someone to ask for a position like this, it would be a guess for me. I mean, if I had a friend, if I asked if reconciliation and the end of some kind of war were affecting American stock, a man would have told his personal position. I have the opportunity here to get information from a wide range of analysts asking a very quick question without asking any financials, asking for one personal opinion without asking any other familiar. Get a picture of it very quickly. It's not the most common auditorium case that's listening, but it's a good example of what analyses can be done. Once again, these tests were not possible, and the analysis would be false. I thought, for example, that I once read that the conflict and war of Russia and Ukraine were not stopping and the market collapsed in Russia. It seems to have to influence the U.S. market because the US has been involved in the arrangements, and the U.S. market has no influence, yes, and it has no influence. So you're starting-- how can we check it out, right? I mean, you-- you can start a ChatGPT analysis and write, "Take me a test, there, the last 20 major world events in terms of what happened." And he'll give that information. Or, "Let me a daily report on the events that happen, how they affect what patterns. " In fact, you get a tool that allows you in your life to check everything that's probably economic and political, I'd call it that. Although it is clear that this is a financial market, but it is a basic one, even with the economy and politics, to check. And I'm also giving you a case today to show you how to check the people you're talking to, yes.
have a lot of people out there, people always say their opinions and people's conditional interviews, yes, before working-- talking to colleagues, partners, customers, random people, friends, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry, I'm sorry. There's always a way to do an extra check, if you can see that information is important to you and it might be unreliable. And expand the information you get.
The information you get. That's very interesting because we were discussing the case about, uh, when people come to the interview. To date, there is a possibility to verify, for example, the people who, they say, what they say they say. Just like you, if you come to a new job or talk to your boss or your partners, you always have the opportunity to check additional people and determine for yourself how you're gonna be. To act, for example, if people lied. Aaaa, because, in fact, this test is very specific because you have access to a huge amount of lies. Iia doesn't mean you need to know that. But you can make decisions based on that, you can go on. There is such a definition.
Imagine, well, someone might think that if you spend every day time sitting in a GPT chat and analysing, analysing the activities of a company of different friends, friends, parents, I'm sorry, I'm afraid you're going to be crazy. There's-- you have to have a very appropriate attitude, a normal attitude. I think it's either Google or some big company that let their employees. In the Sab-- not the staff members, the candidates for the interview are using artificial intelligence systems. How's that? Well, it's actually normal if I have a man coming in, and I see that the résumé, for example, is made up with a GPT chat, or some model, is pretty. The terms that have been defined are very clearly structured. That's not bad. The question is how reliable this information is and how much human being has been involved in the creation of this information. A large number of people now have started diagnosing texts created by GPT, as they have a long tyranny. "Y" is used, like, some words, but there's nothing wrong with that. Why would I spend my time extra time drafting or translation of a certain text if I needed to? Or why would I spend my time, if I had to legally draw up a document on certain items I had to do or even form a proposal? I mean, if I have the opportunity to get my demands up and down with some kind of system. There must be a very healthy situation here. What do I see? What do I see? I see the problem that people use GPT chat in an unhealthy way. It means they make and produce materials they don't know. And, in fact, even if they read these materials, they don't know them anyway. People report how to manage business, how to manage sales, how to manage marketing, how to do products, how to do the economy, based on the documents that GPT gives. But the man himself has no basis for working with it. He's getting some smart words, some phases of project, but he doesn't understand or understand, he doesn't know how to analyse it and how to use it. Because there's still a big difference in saying it's beautiful or uncool, it's either gonna work or it's not gonna work. Because in fifteen cases, it's gonna work, and in 40 others, for example, it's not gonna work. How do you choose that? How do you know what experience you have to do with this? I want to put a little more remark here why I'm constantly using-- I'm talking about the GPT. Recurrently, someone-- you write what systems you use and you think it's good or bad to use artificial intelligence models all the time in your daily lives to refer to them.
Write it down. Why I-- I'll tell you another interesting thing after that, and I'll tell you about the exact checks. There's gonna be a lot of boxes for today anyway. Put the liquor, please, and keep watching this video. It helps the channel develops very much. I need your support. Comments, you'll have to write the lights. If you're not signed on the canal, sign up to keep our videos off. I'll remind you that once a week we have a weekly digest on Sundays of the world's most awesome events we're taking the four. We are four of us all, and we are gathering events that are related to artificial intelligence in the Silicon Valley, in the United States and in general the world. China, Europe. In fact, scientists, different blogs, news, sites, show different positions. Plus, we have periodical specials like today. Likait and send friends. Let's go. Why am I always chatting GPT? Because the GPT chat has, according to the latest data, eight hundred million weekly users. It's a system that's probably the largest amount of money that's been invested in today. Although Google probably has a similar money and a system that still has eight hundred million users when you're the total leader, and they're the same leader, because nobody has a clue. so many users. Based on one product, still the OpenAI company. Basically one product. It's not a Google who has a search, has maps, which has a hundred different applications that have a commercial. There's a lot of stuff, yeah. And pictures of things, and there are places, places. What's the only thing that's not in Google? And when artificial intelligence is used in these services, inside the browser, inside the mail, inside the documents, it's just a little different than when people use an independent application. It's very important. It's very important. And the quality of such applications is usually, uh, not comparable. Although Google models are cool, no questions are asked, but I'm sicker. Once again, in all the chips, the approaches are very open-AI. Although there are things I think they're very oddly out there: unwise, not necessary. Like things like Pulse or badly personalized. I don't know which one of you could test Puls, write it. Here. Or personalization, how do you feel? I think it's made very nice. But the last, for example, things they put out, for example, the possibility of creating mobile applications, uh, not mobile applications, but applications, yes, generally within the system, the possibility of creating independent agents is It looks very serious, though it kills and destroys millions of startups. Now, the challenge is not to do your own craftsmanship, but to learn from paradise with artificial intelligence to live together, yes. And then you can use it where it takes. So, uh, that's one of the markers.
I mean, I'm in person now a lot of places that require me to show, uh, what I did with the help-- where artificial intelligence is used, where there is no. In many, aaaa, aaa, the preparation of various materials, text articles, project documents, TZs, editorial materials, ideas. I want to know how much artificial intelligence, artificial intelligence, has been involved. And there are things where I absolutely need the involvement of artificial intelligence. There are things where I categorically oppose being artificial intelligence. I mean, it's a two-way side. There are things that I don't know how to deal with artificial intelligence, and I don't see his, uh, ability to give me a reasonable, normal answer. Like, I have to write letters periodically to people I don't know. Not often, but it happens. And somehow, you'll get that man. How much I've tried to get the system to write a letter like that, she doesn't understand me, yes, she doesn't know me. Although I'm gonna notice that I'm gonna get her thousands of pages of my articles and materials, I'm gonna get her data that-- with a full description of my biography, details. I have websites, yes, which I'm talking about, all projects where I've been, various social networks. I have a lot of material. And on that basis, I keep saying that, uh, how you can go in with this man. And the system recommends something very strange. I mean, basically, until the end of the without some unique exclusivity, yes. I think that-- that question will be resolved when real staff is made and when the real personal assistants are made. So far, artificial intelligence is so far away from it. I'm talking about personal assistants, you know, who, uh-
Assistant, well, who knows what's going on with me in a wide range, and can make real recommendations. Now, of course, it's very abstract. Even when I'm in Paris, I use GPT chat to get information. First of all, what restaurants do you want to go to? And, uh, sure, it's just that, uh, the search that, like, as it works, it's just, uh, it's, uh, some kind of sample that he's giving you a good shot, but, uh, so far, he's really gonna help you make a decision, he's not doing it. So, some general abstract stuff in a wide range, he's deciding, right? Not exactly. But I'm talking about things he doesn't do. Because of the huge amount of stuff he, he, he, he's running, right?
One of the interesting examples I've been doing lately, and I'm saying that it's probably never been possible before, and mine--- I would have been in my head uncompared with that. I've given you an example in the past graduation, on this special occasion, I've been telling you how I was going to rest in the mountains, and I've been given a GPT compared hotels, and he's been able to tell me at the hotel level why this hotel is. More than the other. Based on different parameters I didn't even understand. For example, as a number of staff per person. And he said that this hotel was cooler than the average Ritz, because there are five people here for one guest, and there's one person per guest, yes, one person--- staff member per guest. And, accordingly, that, uh, was a very interesting parameter that I couldn't analyze. I mean, first of all, I'm not... I can't say I knew that parameter, but secondly, how I would find it. And-- well, from the interesting part, that the last one was probably not all of us. Just like an example. Uh... I've been doing a quality-of-business-class analysis on planes for the first time in my life. I mean, when I was on an intercontinental flight, I was a quality match, from zero to 100 on the scale. It's clear that there was a lot of business class between 70 and 100. There was no business class, 20 or 30. In the economy, I think it's possible. I don't think it's business class. Intercontinental, huh? It's important, intercontinental. Well, there's a difference between zero and twenty in the interior business class, right? And he compared me to the parameters that I would compare, well, harder than myself, yes, and I guess I wouldn't compare or find. He was doing some of those nuances and, uh, he had to do a little more, make him more explicit, but at least it gave me the opportunity, uh, to make an extra comparison, not just the parameters, I mean, people usually choose when they buy a plane, right? In fact, today there is no normal portal or mass portals that compare. But they have a different meaning, right? They just need tickets to re-sell, not to help a man, right? A lot of things have been done to keep a man from helping. We can't compare planes to tell us, what's the stewardess, what kind of toilets are, how clean, how clean, how far--- what seating is, what year are the planes flying? Although all this information is available.
All this information is, it can be matched by different feedback, specifics, well, different parts, yeah, different programs that have a flight, number of flights, how many seats inside, where, A plane, which is where the seats are. Without special programs, yes, I'm not just looking at the difference, either there's a parole or no, but I'm being given a wider line. What's the problem now? The problem is, when a man buys a plane ticket, he buys it, and he compares it at a price. And then, if, for example, a man wants to buy, I buy a ticket, I'm, like, the place I'm gonna pick. And places like pay-as-you-go. And this pay-as-you-you-you might be more expensive than this ticket, for example. And you're like, "I'd rather buy another airline because it's like that." And so on, huh? Someone's priority is to land, how she works, how she works, how she works, how she works, so you can pre-determine what cards you have, what opportunities you have, what you have to do, you're gonna buy yourself. or for miles or for money. You want a shift, a non-replaceable one. So, a lot of details. Once again, it seems that many systems allow this to be done, but, uh, the parameters for comparison are very narrow. I don't know, hotel rooms, yeah. And all comparisons are very relative. And with the GPT chat, it is now possible to, uh, get a more serious analysis, which was not, in fact, possible before. Because more of the feedback can be obtained, you can get from different sites, you can get the system to study it. I want to point out that in a free version, it's gonna be very hard for you. And in the pay-off, uh, there's restrictions, too. In a simple fee, for example, in the GPT tip conversion, there is an improved model and more possibilities for maximizing thinking. It's thought, yeah, reasoning, when the system goes deep. And it's clear that GPT chat rooms also have a proto-version, there's a thing. It's like parallel-gall-partner agents like PHD that make you study, analysis of information, even more detailed, compared it. Because if you use a car-made or a normal one, you should know that she might be wrong. It's normal, yes, the model might be wrong. The reasoning model is showing a steep decline, although it is also possible. It's important here what you use reasoning. And GPT chat room has a choice box to date, yes, and you have the option.
You have a reasoning light, standard, extended or heavy. Heavy, I don't know if he's available in a pay-as-you-go, because they've done a lot of experiments. Iaa, you should know that there's a difference. So one of the interesting cases I'm facing a lot of things now, and yet I'll give you an example from the trip. Seeing, for example, antique exhibitions or seeing a sale of an old product when you have the opportunity to assess it quickly with GPT. It's something important, interesting, or it's something you're told to be wrong. So you have the opportunity to compare quickly, to compare prices quickly, to compare quickly, to find out about this brand, to read it, to see how expensive it is or cheap. In fact, we're in a state now that we can make a deep price analysis and a deep analysis of the prices of things we don't understand what it is. My wife and I recently went to a shop alone in California and wanted to buy a painting, and everybody couldn't understand. This painting, painted, was painted in there by pencils, I think, or by the seal, it was behind the glass. It was hard to understand. Well, antique shops. ChatGPT has at times quickly diagnosed the possibility that this painting is printed or painted and said to further check some aspects, take a little closer to him to detail it. I've got it. Unbelievablely great use in completely different life situations. From which you're determining the food is real or not, or you're determining this painting, you should buy it, it's worth money or not. And from a price comparison point, that was a funny aspect. I recently watched the cost, for example, ten years ago, when you have the opportunity to compare the value of some certain food in a particular country and the cost of it now. Or people say we have, I don't know, cheap apartments or we have a lot of money. People like to talk. You come in, you watch and you realize that, well, the apartment market, apartments are expensive, but just there, I don't know, five percent a year. Or it's really worth 40 per cent a year. But there's a risk, for example. Or they were expensive, but they don't even care anymore, yes.
So you have the opportunity to check, check it out. But importantly, you have the opportunity to check not just data in one resource, you have the opportunity to check price comparisons, price comparisons, do differently, not just different countries, yeah, but, Make it available in different languages and in different sources. And I do a lot of this in business from a country-by-country perspective. And now, literally, I'm watching a single start-up that makes equipment one child in AI, and the more owner of this start-up indicates it's a unique device. And today I saw a similar device in China and I started the test again.
And then I started a GPT reading analysis from the perspective of what devices have been used to date. And he gave me the cho, well, he gave me, first of all, that the price of this Chinese device. He's determined, yes, on this rolf, because I didn't even know the name of this device. He found it on the picture, and he told me that today is a way, like, to write the twenty, thirty-thirty models in the world that use, uh, LLM models exactly the kindergartens. Compared a comparative table, added a number of parameters on them, which type of device is sold, where the subscriptions, what value, who created them, how much company it is estimated to be, where it is located. And he said that there were three hundred devices in the world as a whole that were not completely covered by LLM models, but generally, child robots, yes, by various companies. So you're right-- I'm getting a new picture of how big the market is, right? And there's a price. There's a parole robot that costs $30,000 there, and there's robots that cost $33 there. Yeah, that's very different, uh, designs with different parameters, different characteristics, yeah. And what's inside the system written, too, is somewhere integrated with DeepSeek, somewhere there's ChatGPT, like 4°, there, and so on.
Yeah, it's just that Amazon Alexa's standing there somewhere. It's not like LLM, though they're back there. And so on, yes. I want to point out another point that you must understand that ChatGPT, ChatGPT Rosen. And there's a big difference. You use ChatGPT in devices differently when you use or in some systems, in others, it's probably a very cheap model that can be very hallucinated and that doesn't have And you know, deep-range rhythm, deep-seat, yeah. And if you, for example, download some app that allows restaurants to be chosen, and it, and it's free, for example, using external systems, you have to understand that if free, it's definitely free. Uses cheap systems because requests like I do in restaurants, they'll cost tens of dollars for queries, and they'll use cheap models.
The cheap models are the answer. You should know at once that the quality of the answer is cheap. And therefore, there is always-- and so people are very often and they are not using systems. They're getting a certain negative experience. And they say, "Look, I checked, it's not working very well. I'm not gonna use it any further. I'll be myself." In general, people now, a large number of people don't use artificial intelligence or get used to it because they're afraid. He's afraid to know the truth. Yeah, man opens business, he's afraid to get in and do the analysis and realize that his business is going to be unsuccessful. Or a man in a professional life is afraid to add because he sees his own company's problems.
He's afraid. People are afraid to do the inside test. Someone's telling me what's not, I'll keep doing it myself. That doesn't make any sense. But I don't have the task of making you live with artificial intelligence. The challenge is to understand the difference so you can calmly, easily distinguish the difference, uh, at the moment that artificial intelligence is used, which is not, and that it brings you money. If you're a man who's a man who's a man of the day who can use artificial intelligence in his career in different ranges, you're more effective. Well, it's a professional thing to do. If you wear rocks, you're not more effective. But if you sit and do, and you have to do-- where you use your head, you get more effective at times. Frequently five, often seven, often ten times. There are professions where I may not speak to people today unless they use different possibilities of artificial intelligence. What's the problem?
That people use artificial intelligence once more in areas where they don't know, yeah. Know what you can carry, get a big loss. Go ahead. From the point of view of the simplest routines, it is clear that in life all you see, you can all verify. Yeah, you can check any menu in the café, in the restaurant, any constituents that make it, just before the system goes on the site, there, restaurant or shop, and you get a little more research or something. I've come up with some micronuances and micro-secrecy. One--- one of the big blocks that makes ChatGPT, I've been using a lot of things in my life, is the preparation of various documents, yes. Documents that in their lives, passports, various certificates, rights, various documents, including those relating to legal documents. To date, a good system, a payroll and a signature in all systems are, in fact, a mega of super-cool lawyers. And today, the system has already reached a level where I don't have any advice from a simple, ordinary consultant, because-- uh, only if it's a secondary one. But I won't trust one person because I'll trust one person here. And here I have the opportunity to do the analysis based on a wide range of data. It's very important. On a wide range of data. So, everything with regard to when you see any document, any contract from the purchase of the apartment or lease, from the acquisition of a car or the sale, from the issuance of driver ' s licenses, or, there, the certificate of approval birth, reading any laws absolutely, you're starting to study your system. Anything you're starting to study the system without arguing with the system, and you're asking her to study, analyse. There's one small aspect here. I've been in a rush recently, and I had this kind of case. I did one document, and the system started telling me that one thing, and then I started saying something different. It turns out when I asked her to give me the reference material, it turns out that ChatGPT didn't recognize the colour paliter in Excel's file. So Excel-- there was an Excel file with the rules defined for the documents, and there was a text with commentaries. And there was a colored palette, which is visually visible. And that's interesting, by the way, that they've made a document, uh, in this, uh, power, making it a color palette, not, uh, descripting some codes, and so on. And ChatGPT misrepresented colors. And only after I saw it myself and then squirmished and sent a separate picture of visual. ChatGPT said, "I'm sorry, I'm wrong." I mean, basically, I could make a wrong, false decision. So, some things, of course, you have to understand that they need to be rechecked. Well, just like re-checking when someone else tells you something, yeah. People are throwing information to the right and left, and, in fact, the lu-humans lie much more, yes. A year and a half ago, I think it's been a year ago, like the head of Anthropic said you're complaining about the LLM model hallucination. People lie much more than, uh, artificial intelligence current, which is.
So, the papers. There is a need to develop some habit for yourself to do this analysis, to learn to ask different requests. In fact, if you don't use the system all the time, that means you don't do a minimum of your life every day in different spheres of questioning, ten, fifteen, you're having a hard time getting used to it. I mean, you gotta get used to making different requests so you can understand how to do them. Because there are some queries I wouldn't, you know, ask. Well, how I gave you an example of business class. I mean, I came to this by accident. Or did I have a system to ask what it was, huh? When I bought tickets, she gave me an analysis. I mean, I wouldn't even have gotten to that. And it's clear that you can now send a map, uh, train or some theatre, and you'll be given a ChatGPT with the best seats or rows, or better ideas, or better time of walk. Less loaded in a certain location. I see.
But check again in some aspects. So the next part that ChatGPT is convenient is checking bank records and accounts. I mean, since everyone today has bank records and accounts, you have the opportunity to do the analysis you've actually been unable to do before. Yeah, there's a lot of systems that put a dan-
A lot of systems that put data in there, something that's being analysed, so help keep, for example, the accounting of finances in their own personal way. I want to tell you that what you can do today through the GPT is not proportionate to the-- not with one system that is, with no app that is available for the finances. Because you're, uh, getting an analysis, and, uh, very extra. I mean, for example, there are codes in the discharges that, uh, the system is different, for example, I didn't know, and you're here with a machine gun to check and find what, for example, this code was about. It'll be very true, it'll be different, it'll do as you like. You can actually build a thrigger when the system checks your receipts. Well, you can load them, and you can integrate some micro-actions there with the bank and give them access, and the agent will be there to do it.
And, uh, do, like, crickets and triggers, that if something happened, the system will tell you that. For example, uh, by the way, these triggers are a very interesting reminder system. She works at GPT chat. She has different incorrect things, but she's pretty cool. Like, I want to get to the ballet now, defined in, uh, on Giselle in Paris, and I built myself, I have a system every twenty or thirty minutes to check if the place is coming. Because there's no place for October, all tickets are purchased. Oh, the market, the secondary market, there's no ticket on it. And there's a market that's illegal. I don't want to buy that ticket problem. There might be a problem. So the system checks if the ticket comes, she'll tell me. And, uh, a couple hours ago, the ticket came in. I came in, he was gone. Well, someone got it. I'll buy it. But what's this-- this topic interesting? These triggers that are standing, they--the whole memorial system is a separate story. When any checks that make, yes, changes in the currency, uh, changes in temperature, climate in a given country, some cheap tickets to a country to fly or go. The museum came up, the new restaurant opened up, some kind of discount. Uh, changed composition, I don't know, government, uh, the school director changed. Anything. You can build a system, make sure you do. She has specific aspects. Like, "I found the ticket" yesterday. And, uh, says, "Here's a ticket for October 10th." I say, "October 10 is over." Well, that's a joke, too. It's clear the system might have some mistakes.
You're gonna have to sign up, set your rules, and she'll check it out. Well, all that matters is, I told you bank statements and cheeks-- notes and accounts. That's, uh, very interesting. One more, uh, I'll tell you the best examples. It's a subject that concerns some microdatales. Like, I'll fly out, and I need to know at a particular airport, in a specific terminal, whether there's a certain store or a Customs office or how much I'm gonna go from a certain point to another. I'm sorry, but I'm not sure what I'm saying. I mean, micronuances that find themselves very hard, yeah. And the system, yes, in fact, our brain, it's not even formed to find it. So we don't live in-- a man couldn't have analyzed it before-- analyzed it, couldn't have been with it. So it takes years to get people to take it easy. Just years. Just like grandparents are sitting in a restaurant, there, in Paris, from other countries with an interpreter, like google, yeah, there, and the phone. Ten years ago, it was very difficult to see, yes, although the interpreter was already present, but as a culture, it was not distributed.
Accordingly, there is a culture of some microdatales, which is very interesting, and you have the opportunity to get it. Look at this, what do you ask what you're doing? Go ahead. There's a topic that concerns home-based. For example, a, I have an outside pool at home, and there are periodic cleaning questions or some additional, uh, cleaning components. Or, for example, I needed some sort of treatment inside the car, or, for example, to wash some stain on the couch. Of course, today is GPT chatting in this just cosmonaut. So you get the opportunity to, uh, this crafty work, something to hit, hang pictures, crank, uh, check on things you didn't know you could still be washing, that's where You can smooth it out, how it's better to change. So you're getting a supersuper just a recommendation. Not a recommendation on the base that you thought it was right, it was so wrong, and the real recommendation, yes. Home. A lot, a lot of that.
The next subject I have, I want to speak very much about it, is the subject of medicine. I touch her a lot. Now, GPT's been a very scientific guy. I'd say, yes. Uh, maybe they're having some kind of trials there, and they try to answer more where something is legally approved. Because there's still a difference in medicine. But you still have the opportunity to compare different medical ranges. I always start, compare, and what does Korea think about it? What does that think about in Japan? What do you think of that? What do you think about it in the US? I mean, I'm asking a whole range of things-- criteria. Like, even some kind of analysis. You gave blood on-- Oh, I don't know, cholesterol, yeah, he had a subject. And, uh, for example, the norms and indicators will be different. For example, in Japan, Korea, the United States, there will be a difference in Britain. For example, in Japan, for example, indicators, uh, are more likely than in the US. And you have the opportunity to see, and why does this country think so, right? What conclusions she has. And, uh, learn it in different languages. What was generally impossible to obtain unique jobs that were impossible to reach. I used to give an example, and I found an article, and she was there for my wife, uh, Polish story about the thyroid and the use of certain drugs. And for example, there was a study that these drugs could be used, and, with certain, there, thyroid episodes. And that was the study, and it was the only one that was in the world, for example, in Poland, with Polish doctors. That's very interesting, isn't it? You're like a supplement. So you can just get into the latitudes today. And the first time, the system can't always find. I should, uh, ask her to ask her and try her to find out different things from her. Or, for example, for me, the last very cool thing was when I was given the system that I had to go through some treatment. I was looking for a risk, and she gave me a risk, two points six percent. And then I started saying, "Wait, I'm so old. I don't smoke, I don't drink, uh, I eat very well, and so on." She's reduced my risk to zero at 6 percent. It's a very important subject, because then you're like, "Opa!" I mean, I'm told I don't know, like, drink some pill, but it turns out I'm drinking that pill so that there's no event, I'm not sure who's a probable five out of a thousand, is it? You're like-- or six out of a thousand. You're like, "Well, maybe I won't drink that pill, 'cause the probability isn't that big." I mean, it's a way to go deeper and look a little bit more. Why is that recommended? Why is that decision taken? Who even decided to take it? And what number of people did that test, huh? It is often cited as an example, and very little analysis has been done. That, you know, is interesting things right now. Uh, for example, there's gonna be some stuff at home. Uh, there, 20 years ago, I don't know, the walls were processing some paint to protect, there, from some, and now that paint is, for example, prohibited. And it turns out that it was the right thing to do before, and now they say it's wrong. Just like they say right now, and in ten years they'll say it's wrong. And people got the Nobel Prize for something, and then, after some time, other people got the Nobel Prize for-- when they proved that they didn't really do it right, did they? You have the opportunity to deepen your mind and understand the reasons and the consequences. For example, one of the big topics where we don't know the reasons and the consequences is in history. The way history learns from different countries is very strong, very limited to the world view of the political system of that particular country. You have the opportunity, from a wide range of ultra right to a ultra-relev, to a completely neutral view to study and see why a particular event has happened, right? Well, in medicine, returning to medicine, of course, today you have the opportunity, based on your criteria, to, uh, make a big analysis of any absolute range, a, data.
And I'm all my an-- every single one of my tests, uh, per-
Uh, first, number one, who I trust, I trust ChatGPT, and then I'm consulting with doctors where it's required. Of the interesting things, it was fun. I just gave it to my hair test, my maintenance. The hair can be determined, there, the mercury content. And he sent to a well-known lab in the US, which is basically, you know, the most appropriate lab you're doing. This analysis can only be sent-- it's sent, as usual, to, uh, a doctor, and then the doctor gives you a transcript and retrieves this analysis. And, uh-- well, you can order an analysis, there, through some brokering company, and you'll get some sort of decoding, but it's very specialized and hard to see. Of course I don't need a doctor. I ordered this specialized company, paid, there, that's exactly the least, there, didn't spend on a doctor, uh, I don't know, 200, 300, there, or $500 extra. Got this analysis, got it in ChatGPT. ChatGPT wrote me with this veracity, you know, just a wide range of things, and I wrote it down, and I still need to give it up or not give it to someone who can explain and how I, the usual doctor, describe why I need to check it out. Very, very clear and very, uh, well-informed. Ia, uh, the most important thing is neutral, not based on the opinion of one person. I mean, I had the opportunity to get a full range of views: who believes that these are the right tests, who believe that the wrong tests are, uh, in which countries where there might be something in my region and So on, yeah. Iia, er, if this could be in my region further, why it could happen, for example, why mercury content or, there, uranium content, why it could be elevated or down there, or Why can be elevated or reduced zinc, for example, in the hair, and so on.
So you're getting a very deep analysis. What people usually feel ashamed to ask doctors or often doctors don't know, yes, and they don't. I have brought you a whole range of very different, uh, aspects of the use of artificial intelligence in human life today. Once again, to get you to learn the most important thing that is, is what I said yesterday, uh, a very strong businessman, which is the best way you can do now. The best business is to learn to use models in their lives and learn to use them professionally, not childishly. Successes, good luck with that. Keep our canal, put the video on this channel. It's very much helping us develop.