Что останется человеку в эпоху ИИ? Маргулан Сейсембаев

0:00And at no stage is there a person here . There is no person , this system , and there are no people in it , but it can hire people . I've already created five modules . This is a company with zero employees , just me and the agents . We are just leather bags , carriers of

0:15consciousness , worn by us , passed on . If in the modern world a person tries to do everything themselves , they simply will not be competitive . If each of us individually does not reflect on the meaning of our lives , then we will end up simply turning into vegetables . The time of strange people has finally

0:35arrived . Now those who are different will win .

0:44Good afternoon , friends . Today we have another edition of Live Talks . We have a special guest today , whom we are very happy to see . Rublan Sesivay . My co-host is Farit Filiyev , as usual , and this is Anatkazhmanov . Thank you for coming . Thank you very much . I welcome everyone who is watching us . We

1:02have been looking for a meeting with you for a very long time . We tried to arrange it . I understand that you have a very busy schedule . Have you recently returned from a trip or just arrived ? I recently returned from a country . We had an event there , uh , business , 150 people from , probably ,

1:21about 20 countries . And I spoke there twice . So , events , trips , business , a lot of things .

1:3220 - plus countries , those are the CIS countries and some more , I guess . Yes , yes . A lot of people there were from Europe , from Dubai , even from China , there , uh , from America , various others . It's interesting , well , your videos , they're certainly very popular ,

1:49but they're usually in Russian . How do these people in Europe recognize you ? They found you as a gourmand , so to speak . Yeah . And they want to hear , that is , what their story is , how it differs from the locals ' . No , those people who heard about you in Europe

2:09wanted to meet you and wanted to attend your events . Well , how they found you , let's say , in connection with various events in the CIS , a lot of Russian speakers left for the West , for Europe , for America , and so on . And , as a rule , it was the most advanced ones who left . Oh , and

2:30I'm interested in that particular audience , because I don't really use social media to build an audience or be popular . Well , I don't particularly like popularity there . I need it more to be in the right environment , to communicate with these people myself , to be in that environment , to make

2:52connections , to develop and improve myself , and so on . And so , my social media is more about me than about the audience . Even when I started Facebook , I basically started it as a personal diary . I just wrote down what I was doing . I thought , okay , years will pass , I'll reread it . Well , suddenly it

3:13sparked interest , everyone started reading , and I had to become a blogger . I also started using Twitter like a personal diary , but I often abandoned it . You haven't been quitting regularly , have you ? The thing is , I try to follow Islamic principles in my approach . Never start something you can

3:35quit . Yeah . And if you do , start small . That's how I started . Another issue is that at some point , when popularity starts to grow , you start , uh , to shift gears and work for the audience , but that quickly became a source of resentment for me . And somehow , uh , managing social media

3:57became difficult for me . And then I went back again . In general , it's like when you're doing something that's not your thing , it gets boring very quickly , you get tired quickly . That's why I think it's very important on social media not to chase popularity and a small audience , but to be

4:19yourself . And this , perhaps paradoxically , even attracts more people , and people trust you more , or something , because you're more natural . So , managing social media for yourself is a very good starting point . And you just said be yourself . Many

4:42people know you as a mentor . Some people know me as a media personality , others as a businessman first and foremost . But who do you identify with ? Well , with what part of this life , or more precisely , with what specific activity do you associate yourself ? Well , first and foremost ,

5:03well , I used to think of myself as a businessman , then as an investor . I ran , so to speak , on this treadmill , and achieved all the heights I wanted in business , became a billionaire and so on , in dollar terms . And then , at some point , I realized that this wasn't the

5:24track I wanted to run . And since I have a natural curiosity , I love to explore and study things , and I've been doing this my whole life ; I love to think a lot . I now position myself more , and have for a long time , as a researcher of the laws of this world , who

5:42identifies the most effective ones and shares them with people . Those are three things . I research the laws of this world because I'm genuinely interested in how this world works in general . That is , non-human laws and not the laws of physics , but because the laws of physics are a reflection of general laws . I research

6:03these laws , see which ones are most effective for achieving goals , and share these with people . Essentially , it's interesting . Any video of yours gets a lot of views simply because you speak well , beautifully , and say the right things . Where does this information come from , where do you get it ? Is it

6:24simply what you think , your observation , or are you processing some literature ? Well , I actually think a lot . This probably … well , this came to me , of course , from childhood , because when I

6:41was a shepherd , herding sheep alone in the steppe , with nothing else to do , you start thinking , you start — I even came up with several ways to concentrate on one thought for a long time . And then I came to the understanding that this is the development of mental energy . Mental energy is a person's ability to think

7:02about one thought for a long time . And I realized that many people can't master long-term concentration because their thoughts , like cockroaches , are constantly scattering . And it's interesting , if you write — and I used to always walk around and write like this — if you write , you can't think

7:24about anything else except what you're writing about . Writing . Second , speaking out loud . And since I was alone in the steppe , I was always speaking out loud . Speaking out loud . And third , explaining to someone , telling someone , explaining . You also can't get distracted . You have to hold on to that thought . And it's

7:42interesting , these three life hacks help you hold on to it . And over time , I trained myself to think about one thing for a long time . And I really like it . Thinking gives me a mental orgasm . And there , you know , it's really like a rabbit hole . You start thinking about one thing , another

8:02thread appears , then this way and that , you think about it , then you start seeing subtle connections that aren't obvious to the average person , but to you , it's like , " Damn , it's right there . " And this research process is a really , really exciting process . I understand scientists — well , many

8:22scientists don't really need anything material , because the process of research and discovery itself is so captivating and interesting that they don't really want to engage with anything else . You know , since we're talking about speech and thinking , I wanted to focus on one interesting detail . You're very

8:42fond of comparisons , metaphors , and allegories . Uh , I wanted to ask about the mechanism , how they arise for you . So , are you having a dialogue and they're born in the moment , or did you , while thinking , somewhere behind the scenes a few days before , discover this artistic turn of

8:59phrase and decide to put it aside and then pull it out when the time comes ? No , I truly believe that all the laws of this world permeate reality . And they operate in physics , psychology , society , and everywhere . And whenever I

9:20think about abstract ideas , I immediately try to find an analogy in the physical world , because , well , basically , I'm very hands-on ; I need to immediately touch , feel , see , hear , smell , and so on . So I immediately look for an analogy in the real world . And

9:42if this idea , when translated into an analogy in the real world , conflicts , then there's a problem in the idea itself , or in the logic , somewhere . And I don't make things up on purpose . And , by the way , this helps me now in wipe coding . Well , when I started wipe

9:59coding and encounter complex things , what do I do ? First , I decompose , then each separate block , and then I draw an analogy with the real world , and only then I put it back together . First , I take any complex concept , any complex idea , separate it , find an

10:19analogy , and then connect it again . And if it connects in the real world , I then understand how it works there . It's interesting , this helps me a lot . And if you look at my wiring , before

10:34writing any project , I first create a visual picture of the physical world . How does it work ? For example , I'm currently working on a system that translates information and knowledge into wisdom . And this , well , is a whole

10:54factory with workshops . A workshop . This means first raw materials , a quarry , then primary processing of raw materials , then beneficiation . And even when I code , I visualize it . The workshop has three consumers : for example , this one takes this part of the ore , this part , this

11:16part . The processes are such-and-such . Well , that is , ah , I think in metaphors , but the cat writes , well , like , in code , and it's easier for me to explain . When I explain things to him , I tell him , " Well , I want to make a quarry ,

11:34but the ore there is what I post links to , various posts that interest me , like GitHub repositories and so on . " I post things there , and there needs to be a processor who processes them , extracts what's useful for me , and throws out the rest , and so on . In simple terms , metaphors .

11:54And LM , by the way , understands this very well , and I feel very comfortable and at ease communicating with him . Interesting , interesting advice about visual thinking . Did you develop this skill in childhood , or did you develop it somehow along the way ? Well , you know , a professor from Moscow once came

12:15to visit a friend of mine ; he's a mathematics professor . Well , we hung out as Kazakhs , took him around the country , and that's where he talks about it . " I understood , " he says , " why Kazakhs have such a developed abstract thinking . " " You have the steppe , " he

12:31says , " there's nothing for the eye to catch on to . " And , accordingly , all you can do is abstractly imagine things in images . That's why it's easy for you , he says , to think in images . And I find some truth in this , because again , when I spent my childhood in the steppes ,

12:48herding sheep and hunting and so on , there were no forests , no mountains , nothing , nothing for the eye to catch on to , so you only imagine things and develop imaginative thinking . I connect it this way . It's interesting that you started off by talking about vibe

13:08coding . It's a very interesting topic in general . Farid and I have already talked about this . But we'll come back to this . I just wanted to immediately , um , an analogy came to me : there was a film about an Indian mathematician who came to London and surprised everyone by literally reading mathematics everywhere . That is , and there , well ,

13:29in the film they visualized it so that he simply saw some formulas in the air and somehow he could then write it all down with chalk , yes , on the board . Uh-huh . Now in mathematical language . I understand that you also see this world somehow in the form of , maybe not formulas , but some of these metaphors ?

13:45What Farid just described , and somehow you explore it . Well , that is , uh , for some reason it seemed to me that this is exactly how it happens . There . And my question is , now it turns out that you are not so much an entrepreneur or an infopreneur , you know , but a

14:04researcher . So , uh , what does the world look like in your opinion now ? This is what you began to research , well , conditionally dissect or synthesize . What did you see for yourself ? What does the world in general look like now , and entrepreneurship in particular ? That's my view , specifically right now ,

14:24in the summer of '26 .

14:26Well , you know , as soon as I shifted my focus from making money through investments and business and started doing research , I actually began to see a bigger , broader , more dimensional picture of this world . And I follow one rule that really helps me . Knowing the

14:51basic principles frees me from the need to know the details . It's interesting , I've spoken at many conferences and forums on various topics . I even spoke to marketers once . And when I spoke , the audience was large , about 2,000 people . They asked me a question afterwards , and I immediately gave an interview . He said ,

15:12" How come you're not a marketer and haven't given a single speech ? " So , well , actually , there was one marketer interviewing me , and he said , " I got so many insights and so on . " To which I say to him : " Well , it's kind of obvious . Well , there are certain laws , there

15:28are axioms , human psychology and so on . Marketing , what is it ? It's essentially the same thing . It's capturing attention , holding attention , monetizing attention . Three . What else can you come up with on top of that ? You can just call it different tools , but the essence remains the same . And

15:46it's interesting , everything happens , uh , where does it all come from , where do these basic principles come from , on which , for example , Elon Musk builds his thinking . Ah , and this principle that I said , knowledge of the basic principles frees you from the need to know the details . Everything starts

16:03with a picture of the world . How do you see this world ? When I began to think , I realized this thing that all the philosophers of the world , all the scientists of the world , all the cultural figures and all the religious figures throughout the history of mankind have actually tried to answer only four questions . Four questions .

16:24And the most interesting thing is that not a single person in the world will ever be able to come to their point , where they want to go or achieve their goal , while well won't answer these four questions . What four questions arise ? First , what is this world like ? Second , who am I ? Third , what is my

16:44place in this world ? And fourth , what do I really want ? Four main questions . Answering the question , what is this world like ? I have a lot of thoughts on each of these questions . Answering the question , what is this world like and where is everything heading ? And people ask me , for example , how should we

17:02raise children ? What is important ? Well , I say , look at what we actually notice from the facts of the world around us . The world is accelerating . This is indisputable . These are axioms . This is if you take quantum physics , if you take astrophysics , there was the Big Bang . The Universe began to expand ,

17:21it expands , accelerates , and so on . And it cools down . Well , the world is accelerating . We see that now the iPhone comes out every six months , a car comes out every six months , everything is moving . We are all running out of time . Not only is it accelerating , it is becoming even more

17:39complex . And the worst thing is that both of these The process isn't linear , but exponential . That is , it gets faster and more complex every day . And then the question arises : what to do ? And so again I come to the analogy . But when you're flying in a car , going 150

18:00km / h and you fly into a forest , and there's fog , it's night , what do you do ? You immediately switch to low beam

18:09and immediately start slowing down , immediately start braking . Why ? Because when the world accelerates and becomes more complex , it accumulates risks . The higher the speed and the greater the complexity , the greater the risks . And the more risks , the more crises . And a road in the forest is also , most

18:29likely , depressing . Yes . Yes . And therefore , based on this , I immediately begin : " Aha , if the world is accelerating , then what should we do ? " Then we need to be able to adapt quickly , because the main law of evolution , many people think , is the law of the development of organisms

18:45from simple to complex . In fact , it's not so . Evolution is built on the law of adaptation . It's not about size , not about complexity , it's about adaptation . This means that we need to adapt faster . And what does adapting faster mean ? It means learning new things faster . And any new learning must be

19:04quickly followed by quickly forgetting the old . It's about knowledge of the context . This adapts in relation to whom ? Previously , there was human society , because any success is generally a move up the social ladder . But now we are beginning to be surrounded by artificial intelligence and robots . And these are two entities .

19:23Although , of course , in the brains of robots , it is the same artificial intelligence . Well , you can say two entities , three entities , as each one is more convenient . But now we need to be able to live both in a human society and in a society of artificial intelligence . It feels like it's not humans who

19:41control this process . That is , although people have invented artificial intelligence and robots , and , in general , they produce them , but now , as if talking about all this , it’s as if some force is independent of man . This is true , this is true . Even now , there is a theory that in fact , we used

19:58to believe , biologists believed , that man was the pinnacle of evolution , and that we emerged from the ocean , then crawled , then walked , became apes , then became people . But that’s the point of view of scientists . And that man is the pinnacle of evolution , and now philosophers believe that it wasn’t

20:19man who evolved , it was consciousness that evolved . And now consciousness is jumping from man further into the synthetic plane , into a silicon carrier . That is , in this way , we , as a biological being , have denigrated this consciousness , developed it , and passed it on . Yeah . That is , we will be left behind .

20:39We will remain . We are just leather bags , the carriers of consciousness have denigrated and passed on , because we have a lot of shortcomings . We forget , we are lazy , we procrastinate , we are imprecise there and so on . And consciousness has moved on to a more perfect form . It constantly chooses the

20:58best carrier . That is Well , before that , it was in the bug , then it moved on to mammals , then even further , further , further into humans . And then consciousness went . That is , in fact , it is consciousness that evolves and becomes more complex , and it is consciousness that accelerates , not

21:13humans . Therefore , if you look at it from this perspective , yes , it is , ah , when you say it is power , well , this is the logic of the development of this world . And , uh , in the future , what is most interesting is that consciousness strives to go beyond its limits . And

21:29what limits ? Humans have clearly defined boundaries , limits , and so on . Artificial intelligence no longer needs oxygen . Temperature , the colder , the better . And energy , in principle , there is infinite energy in space . You just need to learn how to extract it . That is , it is interesting that it is

21:48immortal , it learns instantly , it has a bunch of advantages . That is , it turns out that what we call progress is , in fact , simply a logical continuation of natural evolution . We humans , we consider progress what is progress for us . And what is progress

22:08for us ? It is an increase in comfort . our lives . That is , we perceive progress as an increase in the comfort of our lives . And if you ask , uh , artificial intelligence , well , from the point of view of artificial intelligence , then progress is more of a development , an evolution of consciousness itself . It

22:28passed through us and moved on , and we remained the same . If everything you say is inevitable , but we are still here , people , how does an ordinary person live in this system , at a conceptual level , what principles should they adhere to and what should they do , and , in particular , what

22:45should entrepreneurs do ? Well , these are the people who are your target audience , whom you talk a lot about business . And so , what should we do in this regard ? Well , look , here there is a rule that if you can't resist progress , you have to lead it . Because there is no other option . The most

23:06interesting thing is that we are approaching the point of singularity .

23:09And what is the point of singularity ? It is when a person with their capabilities is not able to track progress . That is , changes happen so quickly that we are not even able to track . If you look , we are already We're getting there . You're actually already reading . For example , I don't

23:27have time to read everything myself . My agents , uh , read for me , they only give me the gist , because I can't even keep up with everything myself . And so the question here is , of course , we need to move forward , we need to develop , because if the world is developing rapidly , and

23:45you stand still , then you'll find yourself in a crisis . Because a crisis is always reality , your perception of this reality . Accordingly , your expectations are based on this perception . So , if your perceptions and reality diverge , then you find yourself in a crisis . All your actions , all your attempts

24:07become ineffective . You start to think , " Well , it always seemed to work . But why did the system break down ? " " Because reality changes . If you've caught something and continue doing the same thing , then , ah , reality has changed , what you were doing before ceases to be effective due to various

24:26factors . Competitors , new technologies , and so on . Therefore , the only way to maintain your adequacy is to evolve along with reality very quickly . That is , to maintain your adequacy , the correct understanding of this reality and , accordingly , the correct expectations . And the most interesting thing is that when you don't maintain

24:47your adequacy and don't keep up with reality , then this happens . Reality stops meeting your expectations . And many people , instead of developing and bringing this into line , they begin to take offense and blame everyone around them . Circumstances , governments , the president , there , the robot economy , and so on . And this is a dead end , or

25:08rather , it's not a dead end , but a downward path . And civilization simply throws you to the side of the road . You start earning less , you start enjoying less respect , you have fewer resources . Because it doesn't like this world , When a person doesn't contribute something valuable to this world . You

25:30must constantly contribute to this world . In very simple terms , this means learning to work with artificial intelligence and all the other tools . In fact , this is a big misconception . For example , when I

25:47participate in many communities and they discuss how to implement artificial intelligence , business , and so on . And since I've carried out many reforms in companies in my life , perestroikas , restructurings , introducing treasury technology , and so on , I say : " Guys , the artificial implementation of artificial intelligence in business is not about

26:08technology . This is the mistake of many people , including IT specialists . They approach it as technology . That's the first thing . Secondly , it's not about business processes , because businessmen think that business processes need to be established and then artificial intelligence can be implemented . It's not about business processes , it's about psychology . The problem is

26:27psychology . Therefore , when implementing artificial intelligence in a company , any company , or even the economy , government agencies , anywhere , we must put people first . People . People must want to use artificial intelligence . That's why I tell businesspeople : " Don't try to implement artificial intelligence . Try , strive to

26:49involve people in artificial intelligence . " So that they can work with artificial intelligence faster , easier , more convenient , more comfortable , and safer . And then they will start using it . And once they start using it , their productivity will automatically increase . Well , I understand that you've already

27:09implemented it in many areas of your life , and you mentioned wipe coding , and , of course , you mentioned the tips they collect for you from the news . Uh-huh . Can you share any more ? Oh , I have a lot . I probably have about thirty agents , uh , in various fields .

27:32There are agents , personal agents , that live in Telegram , and there are agents that help me with IPDET . I created an autonomous development system , for example , MIDDS , a multi-agent intelligent , autonomous , deterministic development system . And I set tasks

27:52there . And , uh , for example , even in one system , what happens ? There's an orchestrator , it receives a task from me , and determines who to assign it to . Uh , for example , it assigns some block to the scheduler . The scheduler , uh , creates a plan , breaks down chunks .

28:11Well , chunks are blocks of tasks large enough for a worker to complete without overloading its context . Then it assigns them to the workers . The worker , uh , writes down how they will implement it . Then they assign it to the reviewer . The reviewer is technical oversight . The reviewer says how they will accept the work , according to what

28:31parameters . Yeah , then they assign it to the acceptor . The acceptor is like the customer's representative . They set requirements for how they will accept the work . Then they enter into a contract with each other . Then the worker starts working and hires

28:45subcontractors , subworkers , that is , subagents . For example , I had an interesting task just recently . My worker connected 47 subagents . My agent worker connected 47 subagents . The work was performed by 47 workers simultaneously . Then he collected all this work and handed it over to the

29:06reviewer . Interestingly , the reviewer presented the work to him for rework nine times . Then it passed the reviewer and passed it to the acceptor . The acceptor ran it six times . Well , there are 15 parameters , say . On the first try , he completed eight . Seven parameters failed . Eight are accepted ,

29:25seven need rework . He reworked two more parameters , and so on . And is all this on your own resources or on servers ? No , I rent remote servers , mainly in Europe , in Germany , in the Netherlands . Why do I build all my systems in such a way that they are independent of ISPs ,

29:45hardware providers , server providers , and so on ? Basically , so that I am independent of anyone , so that the system runs 24/7 , and so that I can code from anywhere . I sit down at my Mac , it's there , I sit down at my MacBook Pro , I have it in my iPhone , I

30:03fly on an airplane , well , wherever there is internet . I work peacefully on the iPhone . And you mentioned independence . Isn't that exactly what you're talking about , having your own server room , maybe a small one ? If I were to build a server at home , there would be a lot of problems . A lot

30:21of problems stem from the fact that it needs maintenance . It works when it's on . And if it goes to sleep , it stops working there . And then , if you need to scale up , you have to go buy something , that is , hardware . Well , it's not economically feasible , and then there's

30:39cross-country interaction , VPN , you go to a certain country , you have to

30:45access your server . There are a lot of things like that . And then , when scaling , well , you buy an iMac Mini — many people buy it there , I don't know how much , $ 1-200 , I don't even know how much it costs . Now they've gotten more expensive , well , even more so . And a server in

30:59Germany costs $ 8-15 a month . Oh , yeah , it seems to me that a server at home is like a basket of eggs — you put it there , you put it in a basket of eggs , meaning it could break completely , or you could somehow , and there the server costs $ 8-15 a

31:12month , depending on the configuration . And there are people maintaining it , there's a security system . Well , I don't understand why RO should do anything itself . And such complex requests , where there are 47 subcontractors , such a complex approval system , how long do they take to process ? So you wrote something like

31:33a Prompt , and how long do you have to wait ? There's no PMT there , it's no longer PMT , it's more about engineers , agent engineering . And PMT is more for doing small tasks and asking questions , getting answers , and so on . Well , a one-time action .

31:54Yeah . And there's no longer PMT , there's a whole package of documents . For example , on my last app , before I started writing a single line of code , I spent a month and a half and wrote 50,000 lines . Yeah . And the application description is

32:1550,000 lines . That's about the same as my two books that I published . And what's there ? There's a complete vision , like in explanation metaphors , details , and so on . Then , based on the vision , a contract is created , that is , what this , uh , how the gates are checked , how the information is

32:35transferred , well , internal communication takes place . Then the architecture is built , then the technical spec , the technical spec is the technical specification , and so on . Then comes the breakdown . And then , from Taskbreakdown , you take one block , throw it into Mids , and it works . Well , that is , it's a

32:56whole pipeline . And for writing , for example , the same vision , I have a separate design bureau there . These are separate agents , a separate design bureau where I communicate with them , give them a task , and they discuss it with me . And three independent LNMs . Well , in short , they broke the black

33:15one . We again delved into the details . Well , it seems to me that we have just come to the point that Farid and I were preparing for this meeting . We know that you have a company , AI First Company . And so , as I understand it , everything you said is not just a hobby

33:34, but also business interests , including in this area . Exactly . Yes . Yes . At some point , I realized for myself that the pinnacle of my activity

33:43in the field of coding will be creating a company . Why ? Because I'm not a coder , not a coder at all , but , uh , I'm more of an agent systems engineer , you could say . And , uh , I started the company's journey from two angles . On the one

34:05hand , I started writing from scratch and have already created five modules . The first module I wrote is a company with zero employees , just me and the agents . 47 Rodins . Agents , to be more precise . 47 agents — it's like the movie 47 Rodins , right ? Well , there are 47 agents ,

34:25they're subagents , they're born and destroyed for the sake of tasks , and there are permanent agents . And on the other hand , I created a methodology , like in my existing companies , to make artificial intelligence the essence of the company as a whole , so that people become assistants , and all the work is done by artificial

34:46intelligence and agents . I'm moving towards this company from two angles . On the one hand , from scratch , and on the other hand , in my existing companies , I'm doing it in such a way that , uh , I'm changing the role . Now people are not performers , but orchestrators , but agents of performers

35:01. And gradually , gradually , uh , I'm gathering experience . And why do I think that even a first company is , well , the pinnacle of skill ? Because , well , I don't want to be a coder , but at the same time , business as I knew it is already , I think , ineffective and

35:23meaningless to me as a researcher . I'm constantly trying to find more complex problems . And , accordingly , for me , this is a challenge , since I'm a practitioner . And practice , the peculiarity of practice is that you develop some kind of concept , a theoretical calculation , which must be confirmed by metrics from

35:45the real world . And in business , what is the metric ? Money , revenue . Accordingly , well , even if you take the definition of AGI , uh , or artificial super intelligence , which they say , here's the first definition that Microsoft Open AI made : they said : " Hi will occur when artificial

36:06intelligence , a company with artificial intelligence , can earn a billion dollars . " Yeah . Well , even they rely on this metric , because earning dollars isn't about earning dollars . There are a bunch of processes that it needs to be able to perform . So I took on this work and am

36:27moving in this direction . But I don't really understand what it will look like in the end . That is , it will be a company that will provide services to your other assets . It's in the markets , actually , for example , I have the first block that I wrote , it does in-depth market research . Yeah .

36:50And it collects all the signals . All the signals . First , it looks at trends , studies all the investment reports , which stocks , which companies are growing , and so on . And then it studies the combinator and other incubators ,

37:11which is where investors are pouring money . Then it analyzes social media and sees what's trending , what captures people's attention , what people like , what's trending , what interests people . Next , it studies the labor markets — the US , China , and so on — and looks at what new vacancies are opening up , what

37:30vacancies are closing , and so on . Then it looks at electricity consumption , the development of transportation services , and the composition of transport , what it carries , and so on . Well , you developed a lot of this methodology yourself . I did it all myself , yes . It's a very sophisticated system . After that , he

37:47puts it together , and I briefly explain it . Then I have a scenario engineer , assigned to a scenario engineer . The scenario engineer , there are several agents , who create a scenario of the future , a picture of the future . If this is the case , then all these trends will lead to this , this will lead to

38:05this , this will lead to this . And if all this leads to this , then this is what our future will be . Then there's the Red Team . This is a team of critics who say , " Ah , why did you decide that ? You have an inconsistency here , a contradiction here , and they debate and

38:20debate , coming to a common understanding of the future scenario . Then it's passed on to the next engineer , what I call a deficit specialist . This engineer says , " If the future is like this , then the bottlenecks will be like this , like this , and like this . We'll have a shortage of this , this , and this . "

38:37Accordingly , he pulls out all the bottlenecks and shortages . The next engineer , he forms an engineer hypothesis . He says , " If the bottlenecks are like this , like this , then this should already be manifesting itself in something , like some invisible trends . " And he says , " How

38:59can this be done ? " " We need a hypothesis like this . " And he puts forward hypotheses . Then he moves on to the hypothesis lab . The lab assistant , the head of the lab , takes these hypotheses and sets priorities . This is the first priority , the second priority is to test later . Then the agents go , open a

39:18landing page , and buy ads on Facebook , social networks , and so on , and make various calls-to-action , publish them , people watch , and they count how many people clicked , how many people moved on , how many people left a request , and so on . And they immediately look . Oh , so it also interacts with the real

39:39world . Yes , yes , yes , absolutely . Well , essentially , it's an analytics company based on ... Eh , no , I'm only talking about the first block . Oh , the first block , and then further on , I just briefly described how it's built . And so , it doesn't matter to this company what it

39:52does . Whether it's making railroad ties , selling courses , or providing some kind of services , it doesn't matter . And the target audience . Well , it's not

40:03just Kazakhstan , I understand . You want this globally . I have an investment committee there , and based on all the hypotheses confirmed after the lab , it says , " So , what's the cost-to-benefit ratio ? " " And then the marketers provide the target audience size , what the target audience is , and so on and so

40:23forth . And the investment committee says , ' Okay , let's put this hypothesis and that hypothesis into production . ' Everything goes into production , and in production , there are already marketers in strategic marketing , performance marketing , and they start defining . The target audience is defined , everything starts , and then they start advertising

40:41, looking at advertising metrics , and then conversion , the funnel , and off we go . And there's no human being at any stage here . This system doesn't have humans , and there are no humans in it , but it can hire people . For example , it can hire a company online in China that will

40:59provide services for receiving goods shipped from a Chinese factory . That is , it also has access to your wallet to do this . Yes , it can manage people . Yeah . No , not mine . I just allocate a separate card for them , a separate account , and It's like they can use it from mine .

41:16Interesting . Interesting . Is everything you're currently developing within this new company connected to your transformation , your desire to move away from operational control and hand over these tasks , well , to people or to systems and focus on something bigger ? Well , look , I haven't been particularly

41:37involved in operational control for probably 28-30 years . I'm more of an investor , so , well , I've never really been involved in operations . Take your last project , Travel Mind , where you were assembling teams and traveling .

41:57No , we're still doing that , but I'm not in charge of anything there . I'm an invited expert there . And my whole job is , I enjoy it , I love riding buggies , I enjoy it . I have a bunch of businessmen around me , and they ask questions , I answer . That's it , I tell

42:16them what I do , my vision , my concept , how this world works , you know , ah-ah , What's a person's place there , and so on and so forth . Plus any business life hacks , plus business efficiency , and so on . Well , any questions they ask . So , as a participant , I'm not really in

42:34charge there at all . Well , you saw it yourself : I came here , started making inquiries , because Madina had everything prepared . Yeah . And I came , a talking head , talked , and left , forgetting everything . Well , that's how it works , you know . I have a built-in pipeline , which is controlled

42:54by either the team or my agents , and I just go and do it . But I'm building my trajectory in such a way that I can only do what I love all the time . No , but in general , I think I'm at such an age that I can afford the luxury of not doing what I don't like .

43:17We envy you . But you also have people in education and , so to speak , in the traditional discipline of business . I'm talking about Alel Agro . How do you integrate technology there ? What's the general situation in these companies ? Please

43:37tell us . Well , I have a lot of companies in the real sector , and there are a lot of companies in Selkhozsk . In terms of education , I actually act in three capacities there . On the one hand , I'm a philanthropist , and I donated over $ 8 million to the Heli school there .

43:54Essentially , it was just gratuitous . On the other hand , I'm an investor in the Tamos school , for example . An investor is more of a commercial project . And even then , it's semi-commercial , I'd say , because dividends can't be withdrawn from there ; they stay .

44:15Yeah . And thirdly , I'm directly involved in teaching , as a businessman , as an investor , and so on . That is , I'm in education both as an expert teacher , and as a philanthropist , and as an investor , and so on . And , ah , in many projects , I'm not alone there ; I have

44:37partners . And why I'm building this ? I have rules about not buying more than 49 % and less than 2 % . Why ? Because when I buy less than 2 % of a company , it can be a situation where controlling the company isn't profitable for me . The volume is small , so why bother ?

44:56Therefore , the minimum volume is 25 % of the company , and then , well , no , my share should be worth at least a million dollars . Oh , and why not more than forty-nine ? Because as soon as you buy a controlling stake , from that moment you're the owner . And since you're the owner , that means you have

45:17to run the company . And I don't want to bother , I'm an investor , not a businessman , so ... Ah , well , I'm not an operational businessman , so I don't want to be a controlling shareholder anywhere . That is , in , say , Alal Agro , you also receive dividends , but not in any

45:35operational activities , or strategic planning . Yes , my entire involvement in all my companies is structured like this . I spend half a day at the company once a quarter , hearing the board's report . Yeah . I approve the budget , ah , well , I'm not alone , I'm with partners . We hear the

45:56report , approve budgets , approve decisions , and so on . And that's it . My personal time is once a quarter . But of course , I have a team that monitors these companies on a daily basis , communicates with them , resolves issues there , and so on . Well , my personal involvement , well , I spend half a day

46:16in the company . Well , if you take Aligro , a large company , and I have a 42.5 % share there , but I spend about 5 dash 6 hours per quarter . That's it . So , if you take the weather , then it's about 20 dash 25 hours per year .

46:37Yeah . Well , a day , if you include working hours , well , three working days . I once

46:43said in an interview that I'm now exiting my assets in Kazakhstan . Yeah . And this is not even a question about Kazakhstan . I'm exiting my assets , offline assets , because offline is no longer interesting to me . And plus , I invested seventeenths , eighteenths , nineteenths of them there years . And , accordingly , each project has , so to

47:05speak , a maturation period , when the optimal , the most optimal time to sell comes . Yeah . And many of my projects have approached this stage . Accordingly , I'm now slowly , over a 3-5 year horizon , going to exit . Well , it's not a question of tomorrow or rushing there . And no , it's not like I decided to sell

47:27later . I need to find buyers , the right buyers , negotiate with them . And not just negotiations , but to sell correctly at a good , correct price , and so on . Well , there are a lot of nuances . But in general , I said this to show the vector or direction of my focus ,

47:42where I'm now looking . When I was asked where I'm looking now , I say : " I'm now looking . " And I had a period when I invested a lot in offline companies . Then I started investing a lot in online companies , IT companies , and now I've completely moved away from that . And because the market is changing

48:03rapidly , it's overheated , and artificial intelligence very quickly knocks the ground out of the subtik . Now the main You're focusing on artificial intelligence . Am I right ?

48:15I'm really getting into artificial intelligence right now . Why ? Because to understand its capabilities , uh , firstly , a , how can it be applied in an existing business , b . To understand where the business will go in general , and c , to understand where the value will shift in general . And where will

48:34the value shift ? I see that , well , very quickly , the value will be washed out of those businesses that we thought , and that there , well , let's take , for example , Software as a Service , SAS businesses , but over the past year they've been really shaken up , and over this year they've all fallen by almost

48:5670 % , SAS businesses . And , uh , this system no longer works . Recently , Apple's new CO spoke , and he , uh , presented a technology that not many people even understood what he meant , developers understand this . And I saw something that he said that now Apple's

49:19interface will interact with the user differently . That is , Now we have a smartphone , and it's full of icons .

49:27Yeah . When we exercise , we open up online fitness , let's say , and we've worked out , then closed it . We need to plan , so we open up the planner . We need to do something else , so we do something else . And we need to buy tickets , so we open up another one . We need to check

49:40the weather . And now there will be one interface . And you can talk or write to this agent and say , " I'm going to New York on such-and-such dates , buy me tickets , book a hotel , and arrange for someone to pick me up from the airport , and buy my wife flowers . " It will go

50:00off , connect to Booking.com , connect to some airfare aggregator , connect to , uh , Kubera , organize it all , and it will say , " That's it , the tickets are bought , the hotel is booked , the flowers are ordered , the weather is such-and-such , and so on . " And what does that say ? It

50:18means we won't see interfaces anymore , which means , uh , advertising-based monetization — that's it . Everything is dead . He literally killed the entire mobile gaming cluster with this statement . Because when you play mobile games , you're constantly forced to watch ads because they make money on ads . And if you don't see the game's

50:38interface and don't play it , then you don't see these ads . If you don't see these ads , that's it , that business is finished . So , Apple is killing its own App Store . There won't be any more apps like this . And that's a , well , fundamental shift . And another

50:58fundamental shift that I see happening is that in the future , when such an interface appears , people won't be surfing websites anymore . Accordingly , websites are no longer needed . Our agents will be surfing websites . And for an agent , this external image , the interface , uh , the Frontend , it's completely unnecessary . Accordingly ,

51:21businesses must already redesign their websites , social networks , and so on , so that they are easy to read for agents . That is , a lot of things are happening under the hood that people don't see yet . But I can already see where everything is heading . Well , we We've seen that . Science

51:38fiction movies . If this hypothetical Jarvis , like Iron Man , emerges , and these technologies continue to develop , what place would there be for the

51:48average person , entrepreneur or not , no matter what their major ? Especially since kids in schools are now using , say , GPT chat to do homework and pass exams . It might be good for them in the short term , but in the long run , it kills their desire to learn . Maybe you've looked into this and figured out

52:10what will happen . Based on what I know , and I've been in this field for a long time , I see that artificial intelligence will probably never be able to do that . This is primarily an AI , while needs are formed by humans . We have needs , we sense them

52:31. Based on needs , we then decide , " The current situation , for example , doesn't suit us ; we want something else . " We develop a desire or a need . Then we set a goal , and then we either implement it ourselves , or involve people , delegate it , or maybe artificial intelligence .

52:50Accordingly , goal setting is always up to the person , because artificial intelligence can't set , uh , goals until a person gives it , uh , the right to move in what direction , and so on . Therefore , goal setting is up to the person . Secondly , the acceptance of the work is up to the person , the quality

53:11of the work is accepted , whether what they've done corresponds or not . Further , taste will always be up to the person , because what's beautiful to them may not be beautiful to you . You say what's beautiful to you , and that will always remain yours . Accordingly , the creation of meaning is always up to

53:29the person . A person defines artificial intelligence ; it makes any application , any code for you , but you decide whether you need it or not . In other words , you create meaning . And therefore , there is a certain cluster of tasks that will always remain up to the person . And accepting responsibility , for example , is up to

53:49the person . But we can't shift responsibility to the machine , because responsibility is someone's damage , it is compensation for damage , it is either defining boundaries , it's all up to the person . Therefore , in the company where I am , I approach from two sides , I say , on the one hand , I'm

54:08building a company without humans , but on the other hand , there are people here , and agents are the executors , and humans are like orchestrators . And so , humans are left with this range of tasks . Everything else is written , studied , rewritten , redone , written code , designed , ordered , researched ,

54:30and so on . Well , and , by the way , the choice is also up to the human . The choice will always be up to the human . That is , uh , all these things , routine things are moving to artificial intelligence , and humans must move to the next level . To the next level .

54:46Because if , in the modern world , humans try to do everything themselves , they simply won't be competitive . Accordingly , now their task is to quickly offload everything to agents , to artificial intelligence , and to rise higher themselves . And what does it mean to rise higher ? It means to start thinking about meaning . And so , for the

55:06first time , we are coming , I'm speaking generally , artificial intelligence poses an existential question for all of humanity . And what are we doing in this world ? Because before this , before this moment , the entire ideology of all countries and the entire meaning of all people was very simple . To ensure your

55:26survival , earn money , and to do that , you need to go to work , bring money home , feed your family , raise children , raise children , provide , uh , shelter , etc. This was the purpose of most people in the world , 99 % . Well , and the

55:47purpose of all humanity . We tried to break free from nature , to build good houses , to provide comfort , more food . For this , fields , factories , all of this , all of humanity's progress was . This is , essentially , increasing the comfort of our lives . Yeah . And now , when the creation of our

56:07comfort will pass to robots and artificial intelligence , and robots now have such degrees of freedom that they can perform any operation better , faster , with higher quality , cheaper than a person , then the creation of economic value , economic worth will pass to them . This raises the question :

56:27what will we do ? And the question arises for every person : " What is the meaning of my life ? " " and before all of humanity . And what is the meaning of humanity ? And this is the biggest challenge . And if we , each of us individually , don't think about this and don't start thinking about the

56:48meaning of our lives , then we will end up simply turning into vegetables . Actually , what did you interrupt ? I can draw parallels . Arsen Grigorievich Tomsky recently came to visit us . And he also said that in the future , the

57:08main problem will be the problem of filling life with meaning . Uh , and he suggested that perhaps , at some point , all people will start paying a minimum basic income . What do you think , well , firstly , about such a theory , and , secondly , if the production of economic

57:30value ultimately passes to robots , then how can a person understand where he stands in the social hierarchy ? Well , I have a clear vision in this

57:42regard of what would be correct and optimal . And it , this vision is based on specific experience . Look , the thing is that a person needs to be busy with something all the time . Yeah . If he If it's not busy , it degrades . We're not adapted to freedom , and we're not adapted to prosperity . We're

58:03immediately like fire and water , like copper pipes , but we're not adapted to copper pipes . Copper pipes are the hardest test . So , when you pay people a basic income , people degrade very quickly , and a basic income is only one part of the formula for giving a person money so that they remain an economic

58:22agent and buy some goods , so that the economy moves . Yeah . But when there's abundance , the value of things disappears . Everything will be very cheap , simply . Or even completely free , because robots , they fix themselves , they repair themselves ,

58:43everything there is cheap , everything there is pennies and so on . Here the question is not , I wouldn't go to a higher level , because money will lose its meaning . And so I just invested in one company that does what ? It makes Web3 games . This Web3 is the next level

59:06of gaming . Take modern games , uh , what's bad about them ? They are like , like , World of Tank For example , I drive tanks , yes , I shoot there , I have a crew , my tanks are upgraded , and so on . And then I leave , and both the tanks and the crew belong to the game

59:20developer . I can't transfer them to you , for example . Oh , and Web3 , everything I've upgraded , my tanks , skills , new weapons , people , I can take with me . You can sell it , give it away , yes , and Web3 can be sold , you can rent out all the artifacts in this game . And this

59:43company that I invested in , what does it do ? It recruits workers in low-paid sectors and students and pays them money to play these games and upgrade their characters . It trains them to play these games and upgrades their characters . Oh , and what it does is it

1:00:04chooses a lot of games . Web3 appears , chooses games with a high artifact win ratio . That is , especially when the game is just starting , the rewards are usually generous . They choose games like that . One . And then what do you do ? And people in third-world countries in Indonesia have even had this For

1:00:24example , in a small town , miners stopped going to the mines because they were paid more and it wasn't profitable for them to mine . It's more profitable for them to play games . And people from developed countries , for example , a banker comes home from work , he doesn't have time to level up these skills and

1:00:41so on , he wants to immediately sit down and give someone a beating in a powerful tank and so on , to relieve stress , and he'll happily either rent or buy it . And it turns out that these people work 8 hours , get money , and all the game artifacts are their property . And the company in

1:01:00Europe , in the US , rents out these artifacts or sells them . Yeah . And I believe in this scheme . Why ? Because if you look at the most effective way of self-development and learning , it's play . Look at animals . Lambs , puppies , kittens , and so on . They all play . They learn through play .

1:01:23Accordingly , it's important for a person not just to provide a basic income , it's important to keep them busy so that they continue to develop and unpack their Potential . And potential can be unleashed when a person overcomes obstacles , quizzes , obstacles , each time a new task is more difficult , more difficult , more

1:01:40difficult , more difficult , but these tasks , they are simply not associated with work , they are associated with development . And then a person gains meaning . He goes , well , say , goes to work , sits at the computer , plays , improves . The more he works on himself , the more he improves . Accordingly , he

1:02:00gets money . He has a meaning , that he didn’t just receive money , but a job . At the same time , he improved himself , his abilities , his brain , and so on . And , uh , he feeds his family . And there is meaning , and he is busy all day , ah ,

1:02:17and everything is great . And then now there are just games , they are like meaningless time-killers , killing time , yes , as it were . But , first of all , well , you must not forget that the right game greatly improves a person . In itself , this is already a benefit . But a game can also be designed in such

1:02:35a way that a person , while playing , simultaneously performs a calculation for the same artificial intelligence , either for Bitcoin or something . Today , Bitcoins , uh , have enormous processing power , they do calculations , they just heat up the atmosphere there . And all the work of Bitcoin processors is to

1:02:57create this long , complex code . And they do a bunch of empty calculations . And so if we combine these worlds , a game , a basic income , the meaning of human life , activities , and , uh , and benefit , I think we'll get to this .

1:03:17It reminded me of Counter-Strike and the skins that can also be transferred and sold there . There's an internal trading platform , but to be honest , I don't know the legal details , yes , one of the founders of the exchange , uh , uh , who sells these , they say it's a very strong business . Skins

1:03:33there cost 3-5 million dollars , there are skins . There's one purple machine gun skin , they sold it there for 3.5 million dollars , an Arab bought it , he says . Well , some people still invest there , that is , they hold money , waiting for the market to move . He says : " I wonder ,

1:03:47how do everything work out for me ? " " I earn what I earn , I invest in skins myself , " he says , " because I see they're growing faster . " I'm a person who's far from these games , so it's a little strange to me . But back in the mid - 20th century , if I'm not mistaken ,

1:04:01the concept of " man playing , " the philosophical " homo sapinens , " and so on ... there you go , look . And who's going to say that our life isn't a game ? Well , I

1:04:10counted in our life , well , I counted more than 67 game mechanics . Well , relatively speaking , a game . King of the Hill is a game . The game in the song " The Winner , " so it's all . The winner takes it all . But in the market , this is what happens : they're all

1:04:28fighting for the prize . Or a game for limited resources , a struggle for limited resources , what business does . A game , a game . It's all a game . In fact , our whole life is a game . Essentially , what are we doing ? We develop , we go through some tests , and

1:04:43for this we get more reward . And than The more trials we go through , the more lessons we learn , and the more we unlock our potential , the greater our income . And if we don't learn from our mistakes , our income doesn't grow . And isn't life a game ? Well , I think there's also a

1:05:03philosophical point here . What happened based on what ? A game based on life , or life based on a game ? I generally believe that life itself is built entirely on game mechanics . That's it . And probability theory is games . And we're just used to thinking that games are something , some kind of nonsense .

1:05:24No , games are , in fact , mechanics . The mechanics of interaction . They are the mechanics of resource redistribution , the mechanics of redistributing attention , effort , and so on . So , it's all a game . Well , by the way , even in Kazakhstan we have developer companies that , in general , have multi-million

1:05:44dollar profits and valuations . I can't remember the name of the company right now , but in Astana , the main developer , he was speeding around Astana , basically , and then paid a fine . Oh , yeah . I'm just curious , as an investor , are you interested in these kinds of game developers ? Well , I told

1:06:04you , I had a period when I invested a lot in IT companies , including gaming companies , especially V3 developments , and virtual worlds , gaming companies , and so on . And what does your current investment portfolio consist of primarily ? Well , if you look at the money , then the real

1:06:24sector is the advantage . This includes the production of chicken , animal feed , soybean oil , soybean meal , and apples , various types of stone fruits , there's a fitness center , and there are schools , uh , there's , well , it's hard to even argue with that , there's a meat

1:06:46processing plant , there's , like , well , there's a lot of everything . Well , as I emphasized , I'm not a controlling shareholder anywhere , I'm an investor . Oh , and there's also a lot in the IT sector , a lot of Kazakhstani companies , a lot of Western companies , so , well ,

1:07:07there are about twenty different companies there . And how , in your opinion , will the investment market change in the near future ? 5-10 years ? You said that offline , well , traditional business , is slowly fading into the background . Did you mean this in general and for you personally as well ? Yes ,

1:07:28I mean it in general and for myself , because I see that in traditional business , margins are falling , falling , falling every year . Yeah . But in general , any business , and I'm not just talking about mine , any business , because , well , if you take the oldest business , food production .

1:07:44So , food prices are just falling , falling , falling . Why ? Because of new technologies , new production methods , and so on . The cost price is falling , and because of that , prices are falling too . People have already satiated themselves , oversatiated themselves . Food costs next to nothing , if it comes

1:08:02down to it . Well , unfairly compare a Birkin bag : with one Birkin bag you can buy enough bread for a lifetime , if you take the latest auction price , it's 400,000 . For a Birkin bag , you can buy enough loaves of bread to last you a lifetime . Well , it's like this :

1:08:21Some people don't have bread , and some have a Birkin bag . But traditional business doesn't offer any stability in return , like there will always be demand , or maybe not . And there's a term for this , called the commodification of business , which means your product turns into a commodity , a depersonalized , average

1:08:39commodity , and so on . No one looks at the brand of a loaf of bread anymore . Well , bread is bread , or the brand of sugar . Well , sugar is sugar , what's there to look at , and what about chicken meat , too ? Well , chicken meat is chicken meat . The main thing is that

1:08:55it's fresh , safe , and so on . That's why traditional business , in general , is what it is . And in general , it's always been this way , and the more intellectual component in your business , the higher the margin . Yeah . Well , by the way , here's the SNP 500 index , the

1:09:13key positions are occupied by technology companies , which , yes , have huge , huge capitalizations , but isn't this , well , some experts say that this is It's a bubble , that it's slowly inflating and will burst one day , that the real sector is still a real sector , and it's ... well , look , there are all the signs of

1:09:35a bubble , yes , there are signs of a bubble . Well , and that the bubble is inflating and bursting , but it doesn't completely burst . Just like with the internet boom . And this is where investor optimism reached such a level . Then , at some point , their expectations stopped matching reality . And what is

1:09:53reality ? It's the profit these companies generate . And at some point , they realized there was a crisis . I told you , a crisis is always a discrepancy between reality and your perception of it . Everything collapses , but it doesn't fall to zero . It just falls to a reasonable level , but the profits of these companies continue to

1:10:12grow , and accordingly , it falls and will continue to grow . Well , hypothetically speaking , if you take OpenI , the creators of the largest LLMs , they're already doubling their profits almost every six months . Mm-hmm . So , the likelihood is that these companies Will they collapse somehow , is it close to zero ?

1:10:32No. That they will collapse to zero , is close to zero . Yeah . And that prices will fall to reasonable levels , well , the probability is very high . But again , it all depends on who controls the narrative . Today , these guys control the narrative . So the point is this : we are entering an era

1:10:51of instability , we are entering an era when the world is accelerating and becoming more complex . Accordingly , when the world is accelerating and becoming more complex , very few people understand what the future holds . And these visionaries , like Sam Altman , say , Amadeus or Musk , what are they , they say , it will be like this . No one knows

1:11:15whether it will be or not , but they say it will be . And we , people , when we find ourselves in a situation of uncertainty , we strive for each other and we strive for a leader . And the leader says how it will be , well , that doesn't mean at all that what he says

1:11:33has a better chance . Guess what we have . No , but he simply , he says it with confidence , he knows , he says , it will be like this . And we all follow him , accordingly . Now they govern through what ? Through fear . They tell us , this is what needs to happen , otherwise

1:11:49humanity will be like this , this is what needs to happen , there's artificial intelligence , it's a disaster . It's terrifying , terrifying , and then , when they've terrified us , what should we do ? We urgently need to quickly study artificial intelligence . We start studying artificial intelligence more , pay them more . We

1:12:07pay more , their revenue grows . They come to investors and say , " See how our revenue is doubling . " And then they go to the press or social media and say , " Oh , guys , artificial intelligence is going to swallow us up . " This new model is such that it already improves itself

1:12:23. " And whoever doesn't master it , that's the end . And everyone's like , " Oh , damn , it's scary again . " And again , you see , they control the narrative , they control our fears . In general , the basic control mechanism is just two people . This is described in religions .

1:12:42But how does the devil control us ? He controls through our ego . And how does he control through our ego ? He influences our ego through two tools . The first is fear . The second is temptation . All marketing is built on this . All marketing is about managing temptations and fear . They say , buy it

1:13:01now . The special price is valid for 3 days . What does that mean ? It makes you afraid for 3 days . You won't even have time for both . The special price is temptation . All marketing is based on this . I would like to look at this country's perspective and race . And in Kazakhstan

1:13:22, this is already , so to speak , a state development vector . And how do you see what Kazakhstan will be like in 10-15 years , precisely in this context and artificially Oh , these technologies , progress , robotics , maybe ? Well , I'm not so much interested in any particular country , I'm interested in

1:13:42what will happen to the state in general . Yeah . And I see a situation where artificial intelligence will penetrate the state . But now you're talking about the state as such , as an institution , government bodies . It will . I think that , for example , the biggest

1:14:03candidate is the legal system . Making decisions is , in fact , a fairly algorithmic thing . That is , you need to understand the context of the situation

1:14:14, you need to understand the context of the person , you need to understand this person's intentions when they did something , did something , and so on . You need to understand the rules or the algorithm by which to judge this person , and so on . In essence , artificial intelligence can do this faster . And in trial trials in America ,

1:14:38it has already been proven that the accuracy of decisions , judicial decisions made by artificial intelligence corresponds to 97 % of the ideal , which was , well , approved by the Supreme Court . That is , ninety-seven percent accuracy . That is , relatively speaking , the Supreme The court , a collegial body , and if we take its decision as an ideal

1:15:00, then the artificial intelligence's decision yielded a 97 % , almost the same as all the members of the Supreme Court combined . Yeah . Well , however , these 3 % are still a big difference , because it's not clear who will be held accountable for such a small difference . I'll cite another study conducted among Israeli judges .

1:15:18They themselves were shocked that it turned out that if your case is heard after lunch , then there are 67 % more acquittal negotiations than verdicts in the morning . That is , the judge simply ate , he became kinder . He became kinder . 67 % more acquittal negotiations than verdicts in the morning . Well , you say 3 % . Well , damn ,

1:15:41we're in such a terrible mood right now . Oh , good . He looks like his son , kissing his hand . What kind of Friday afternoon is this ? This is the most appropriate microso . Yes . Well , that's it . But essentially , there is still the question , when you're on trial , Whatever it may be ,

1:16:00well , a person or some kind of soulless machine , as if ... And for this , I simply believe that in the future , courts will move to what is called Human in the Loop . And all the technical part will be performed and prepared by artificial intelligence . A

1:16:17person will only choose from options 1 , 2 , 3 , and that is , without having to parse all this reading and so on and so forth . And there could be a kind of jury trial , which will sit down and say : " So , well , this option , this , this . "

1:16:36Well , that is , this is the case when responsibility will still remain with the person , and the choice will remain with the person , and the person will determine the meaning , because any sentence must also have meaning . For example , well , in canon law , and , at least , we studied at the Faculty of

1:16:55Sciences , the meaning of punishment lies not in itself , but in the re-education of a person . Yeah . Well , unfortunately , in our country it is often revenge . Well , the meaning is in re-education . In our country All prisons are built to take revenge on people who have broken the law . That's

1:17:13why they're humiliated , beaten , subjected to inhumane conditions , tortured , and so on . But in reality , the penitentiary system is a system of criminal-correctional punishment ; it's a criminal-correctional punishment ; it must , first and foremost , have the intention of reforming people . And giving meaning to a sentence is a human

1:17:34function . We've touched on the judicial system , and now I'd like to ask about the education system . How do you think artificial intelligence can integrate into it ? Well , I think education will mostly move online . Yeah . And offline education will be a luxury .

1:17:57That is , when a teacher explains things to you like this , it will be very expensive . It will truly be a luxury . So that's the first big shift . The second big shift is that education will shift more toward self-education . Because this methodology , curriculum , and so on , by the time the ministry

1:18:17approves the curriculum , it's already outdated . The world is moving forward now . So , any curriculum is already outdated by the time it's published , not to mention how they publish it , then train teachers , and then the teacher starts teaching . All of this is too slow , too cumbersome , it doesn't

1:18:38meet the realities of today . Therefore , uh , uh , this is the second shift , that I believe that self-education will be more satisfying . And thirdly , ah , a big shift . I believe that education will be built on practice , around practice . That is , you take a block , study it ,

1:19:01and immediately apply it . And what does apply mean ? You don't necessarily build or create something , but at least you can already use Wipodding to make a simulation and test it in reality . Well , for example , physics says : " So , so , you're given a problem , and so on . " And

1:19:17you say : " Yeah , my solution is such-and-such . You paste the solution here , someone else makes a simulation and says : " Damn , dude , this won't work , it doesn't work like that . " You're like that , both of you . And your task is to make it , well , say , an airplane , and

1:19:30your task is to change the variables so that it flies in accordance with the laws of physics , which are programmed into the artificial intelligence . And while you're trying to make your airplane or model airplane fly , you study the formulas of aerodynamics , gravity , and so on . Yeah . So the training will be based on

1:19:53real cases . Real cases . Here I mean it's physically unrealistic . But this can be stimulated . You can take this bottle , slam it against the wall , and see if it breaks . Well , you can also slam it against the wall in a computer simulation . Yeah . Because the laws of physics are already

1:20:13built in there . Yeah , we were talking about education , about the judicial system . I was wondering , well , how ethical is this , ethically ? Then I remembered that there are similar solutions in medicine , when , say , for certain diseases , there's a large patient database in the system , and it can make diagnoses with a high

1:20:33degree of certainty . Well , naturally , a

1:20:35person then sees it for themselves , in real life . And that is one of the characteristics of this world . This world is probabilistic . No one can tell you anything for sure . And the most interesting thing is that this probabilistic world implies that there is no guarantee of anything , and no one can be 100 % right . Here we are ,

1:20:58most people think that everything and everywhere . Everything . When we say : " Yes , everything is like this or yes , this is always how it happens . " And yes , there is chaos everywhere and so on . But in reality , something happens in the world sometimes and in places . Yeah . So , in fact , the world is probabilistic

1:21:21. We ... But the poor human consciousness is that it divides the world into black and white . Why ? Because the lower a person's thinking , the more difficult it is for them to think in gradients . It is easier for them to think : " White , black , ours are the enemy , ours are the

1:21:38enemy , there are ours , not ours , white , black , scoundrel , handsome " and so on . And the smarter a person , the more shades they begin to see . So he begins to see that the world is something , sometimes and in places . And , accordingly , and if something is sometimes and in places , then there is

1:21:59no 100 % correct verdict , no 100 % correct decision , no 100 % correct , cast-iron statement . It's a probabilistic world . We operate with probabilities all the time . So , when , say , God forbid , you have some illness and you , um , are choosing a doctor , can you ask the best

1:22:18professor in the world for guarantees ? No one will give you a guarantee . But why then do you choose him ? Because you're comparing probabilities in your head . This professor has a higher probability of curing me than another . We're constantly playing with probabilities . And even returning to a

1:22:41court decision , there isn't a single fair verdict . All probabilities , it's just that some verdicts are closer to being fairer , some less so . And in general , the very concept of justice is also vague . Yeah . Interesting , actually . Well , yes , but at the very beginning you were talking

1:23:01about this system where agents create other agents , and there's still some unknown . And do you rely on some kind of intuition when making the final decision ? Even if the system has given you something . No , well , that's why I say that it's a human's job to verify what the system has given them . And that's the second

1:23:23reason I created this system . That's exactly what it sounds like . MDS , and the word D stands for deterministic system . So , what do modern LMSs do ? They're trained to please the user . Consequently , they flatter , they can lie , they hallucinate , they can say they've done something when they haven't , and that's why they need to be

1:23:44double-checked . And so , to prevent this from happening , I made the system deterministic . And what is deterministic ? It's when I give a task 100 times , the same task , and get the same result 100 times . Yeah . That's very important . That's why I created this system . Otherwise , you ask a

1:24:03question today , and they answer one way . Tomorrow you ask the same question , and they answer differently . Yeah , right . By the way , we always talk about AI , saying it's not the future . I don't doubt it , but working with AI in everyday life , yes , we all know that

1:24:16they sometimes hallucinate , and generally make mistakes , and sometimes just outright lie , yes . But that's not a problem ; it's a problem with the person's thinking . It all depends on the technical specifications you give them . Yeah . And how will you check them against what metrics ? We tell them , roughly , "

1:24:36Make it good for me , " but we don't tell them what metrics we'll use to accept their work or how we evaluate what constitutes good . But there have to be metrics , and to have a clear orientation , you need to check them . There have to be , well , so-called gates . Gates — that's my development system ,

1:24:54for example . At the planning stage , yeah , the planner starts planning , and at this stage I've cut off all his tools . He can't go online , lest he get there and bring me something . He can't go online , he can't write code , he can't edit code , and he can't deploy .

1:25:17Well , like in GitHub . Uh , yeah . Yeah . He can only talk to me according to protocol and discuss things and ask questions , brief me . That's it . As soon as he's done that , that's it . As soon as I tell him , " Okay , I agree with this plan , " he immediately creates a file in

1:25:38the system , uh , where he attaches what I've agreed to . And that's called a gate . Tdn . That's it , he stops working . From that moment on , there's a command board . As soon as this file is created , a worker starts working . Yeah . He takes this plan , and he already has

1:25:58the tools to go online , edit the code , and so on . And he writes down what he's going to do . He writes it , and then gives it to the reviewer . As soon as he's written it , the reviewer gets to work . And these intermediate checkpoints are mandatory , and there must be a verifier who checks that the

1:26:18previous stage has been passed . Well , that is , it's a whole technology , but this is precisely what ensures the determinism of the work . Well , yes , now there is even such a specialty , and I know it's gaining popularity . Prompt engineer . It even sounds like that . Prompt engineer . It's

1:26:38not what you just described , but nevertheless , the task is to create prompts , and to create them so well that the probability of error is minimal . No , prompts don't save . Prompts don't save . They improve , but prompts affect determinism by , well , maybe 15-20 percent . Yeah , right . In fact , there are built-in hooks .

1:27:00Hooks are scripts . I have a rule : if it's possible to use hooks , use hooks . If it's possible to use scripts , then use scripts . And what are hooks ? They're code . Code isn't an agent's thoughts , it's code that's written . And it says , as soon as it's here , ah , I've

1:27:23received confirmation that I approve , it's called a post-all use hook . A hook that's activated after using tools , it immediately cuts off this one and activates the next one . So , it's essential to integrate things into this pipeline or process that don't depend on LM .

1:27:43Well , here's a question in this regard , by the way . You said that your company will be engaged in — well , you're creating a product that you'll offer on the market , but there will probably be many similar products on the market . It will be a new race . Well , in reality ,

1:28:00there will , of course , be many companies , and they will compete with those who have built a better architecture and who understand the essence better . What I love about the current times is that it's the age of intellectuals . If you , uh , clearly see what you're doing , you see the essence , then you're one step

1:28:20ahead . It's actually interesting that it was precisely this wiping of artificial intelligence that showed me that all my previous wanderings , my research , my lifelong pondering , my own musings , my own concepts , my own thinking — well , I'm just a bit odd . I

1:28:40even recently read an interesting tweet . Some cool dude said , " Finally , the time of weird people has arrived . " So , now the winners will be those who are different from other people . Well , I actually feel this even in my work — I'll share a bit of my

1:29:00experience now — even in my work as a journalist , you can optimize a super-routine task , delegate it to artificial intelligence , and you have time to , well , let's say , dream up a new approach or a new calculation or data collection method . And because of this , the overall quality of the work

1:29:23improves , improves noticeably . And I think this could be the reason for this in many fields ; it can be explained very simply . There's a kind of bell-shaped curve , a distribution of , so to speak , work , yes , and the middle 80 % . All the average work that is

1:29:44standardized , artificial intelligence will do better than humans . Yeah , yeah . Artificial intelligence will perform worse than humans at the edges . At the edges . And what are edges ? They are quirks . They are quirks that are uniquely human . That is , this is your creativity , where your uniqueness , your nature , manifests itself . And these

1:30:03oddities can be , well , let's say an ordinary person can write an article on artificial television better than you . Why ? Because writing an article is a standard thing for people , yes , standard , and so on . A good article is always built on a dramatic arc . It's about capturing attention , holding it , and there's a certain logic

1:30:25there . And now , well , that's where the weird stuff starts . So , how are you going to do it now ? Yeah , I see , the logic is clear , capturing attention . But how ? And everyone captures attention differently . Some might start with a statement , some with a contradiction , and some might just rip

1:30:45it right off the bat . Well , it all depends on the person's uniqueness . Some people think in unusual ways , some might even — well , even this same article can be twisted in different ways . Well , here we come to the question of the most important skills of the future that will be in demand . You already

1:31:06mentioned this , developing uniqueness . Developing your uniqueness is one of the most powerful . The problem is that before this , we lived in a system , an industrial system , where standardization was encouraged . We even have a workday , we even have a school built to resemble factories : a factory shift , a bell , a lesson ,

1:31:27everyone stands up together , marches in formation , walks out , and then goes through one subject together . So , schools actually trained professional workers for factories . And everything was an assembly line , and an assembly line is what standardization is . And we've moved beyond that . Our entire workday is standardized , everything is

1:31:47standardized . And there , too , there was no human being . There , we tried to turn people into machines . Now the time is coming when humans must once again transform from machines into humans . That is , from a cog , from a screw , into a person , a bearer of meaning . And the

1:32:06bearer of meaning is each person's own meaning , depending on their uniqueness . You see the world in your own way , I see it in my own way , another person in their own way . We all see the world differently , through different filters , and different ones , yes . Well , not everyone can form

1:32:20meaning . It's always the ordinary intelligentsia , writers , poets , and some leaders , spiritual teachers . That's it . And that was just how it used to be . And now it will become a paradigm . You must definitely think about it . And meaning is always formed from your uniqueness . For each person , each thing

1:32:42has its own meaning . And when all the standard operations take you away and you can't make money , a severe crisis will inevitably hit , probably involuntarily . The only way for you to make money will be to do what only you and no one else in the world can do . Yeah . That will be the only way to make money

1:33:03. That's it . And all the standard operations , artificial intelligence , robots will take you away . That's it , you have no chance . Therefore , whether we like it or not , we will be forced to develop our uniqueness and give meaning to what we do . And how is this done ? For example , you , you have some kind of

1:33:21oddity , let's say , well , I don't know , you'll be juggling , right ? Your oddity . So what are you going to do to sell your weirdness ? Well , you need to make money . You need to give this weirdness meaning . Zh says , " Guys , you know , juggling bottles is very important for

1:33:40the nervous system . It trains your motor skills , fine motor skills , and thanks to this , you develop new neural connections . " Everyone's like , " Oh , right , we need to develop neural connections . And how much does it cost to learn to juggle bottles ? Is that all you're saying ? That's it . You've sold

1:33:56off your uniqueness . Why ? Because you have a bias . You've given this bias meaning , and then you've sold this meaning . But if you were starting a business from scratch today , with nothing , well , let's imagine you have no capital , you choose the direction , you're free to choose whatever you want .

1:34:17Not as an investor , but as a budding entrepreneur , yes , restrictions . What would you focus on ? Ah , well , a bet implies a bet . And you're saying , if you're starting from scratch , then , well , you have the time and opportunity to learn and maintain focus , right ? Because when a person has nothing , they

1:34:35only have three resources : time , energy , focus , attention . That's it . Accordingly , where you direct your attention , attention is the most important resource . Where you direct your attention , there your time and energy flow , and accordingly , there your money or other people's money will go . That's why you need to be able to

1:34:53manage attention . So wherever I , well , I would do it very simply . I have rules that sound like this . Money always follows attention . Look where you look , pay attention yourself . What you pay attention to is what you buy . Your money follows your attention . What does advertising do ? It grabs your attention

1:35:13. Then it sticks in your head . You buy that toothpaste you saw , you know . That's why money always follows attention . Accordingly , I would look and say what people are talking about now . What ? Elementary , right . Artificial intelligence , robots , right ? Wipe coding , right ? Wipe coding . That means there's

1:35:31money there , everything is a direction . It's clear what to focus on . Accordingly , what should I study ? Oh , I need to study this , ah , there are a bunch of free courses and a bunch of free YouTube videos that contribute to this now . And at the same time , the unique situation is that few people

1:35:47really understand it . Accordingly , you can even understand it a little , and already start teaching someone and making money from it . In my case Another question , but it's probably so lyrical , but I think traditionally in our podcast , uh , what decision in your life are you most proud of , what do you

1:36:09regret , and what is your main motivation ? Ah , look , regret . I only regret those decisions from which I didn't learn a lesson . And I don't really have such decisions , well , I would say , because by virtue of my character , I always try to learn a

1:36:31lesson from everything that happens to me . So look , if you made a decision , it led to success , many people make the mistake of resting on their laurels . But you need to analyze this well . If it led to failure , many analyze it not because they are designed that way , but

1:36:52because it is a necessary measure . They want to achieve success , so they analyze only failures . Ah , but you need to analyze both success and failure . Why ? In order to clearly distinguish whether success was due to your efforts , decision , and so on , or favorable circumstances . And many are due to A

1:37:12favorable set of circumstances fly by , what's called luck and good fortune , and then they say they worked 12-14 hours , and they're so cool . Well , in fact , most major successes are luck and good fortune . Yeah . And now , if you didn't analyze the

1:37:33decision , and it's a bad decision , then you'll regret it . And why regret it ? Because you had net losses . And when you've made a fuck-up , a bad decision , learned from it , and learned a lesson , then that becomes valuable . And that no longer becomes an expense , but an

1:37:54investment that helps you avoid making more mistakes in the second round . Now I tell my students this : there are two biggest things you should not do . These are repeated mistakes and mistakes with irreversible consequences . Those are the only two things you shouldn't do .

1:38:16The rest , on the contrary , I tell everyone : " Make mistakes , just make them quickly . " That's the first rule . The second , make mistakes , make them cheap , and Fast . Yeah . But not repetitive and not with irreversible consequences . Then quickly correct , learn the lesson , take new

1:38:37actions . Again , if necessary , make mistakes , but thanks to this you will grow , you will grow very quickly . Well , I think this is still good advice , and how to not sweat it , not get hung up , you know ? This is good advice against perfectionists , by the way , because I

1:38:53myself was a perfectionist in the past , and I tried to do everything perfectly . And then at some point I realized that there is a return curve to perfectionism . That is , at first it’s good , good , and then it starts like this : you’re sharpening the part , polishing the part , and the return is

1:39:09less and less . And I came up with this rule for myself . It goes like this : “ I’m not a perfectionist , I’m for ineffective imperfection . ” Yeah . That is , I improve the process exactly as long as it is effective . As soon as it stops being effective , I stop polishing and delegate .

1:39:29Yeah . So , I , let's say , perfect 70-80 % of the process , then they delegate it , because beyond that there's an effect , and there's the law of diminishing returns , after that the profitability drops . It's no longer profitable to

1:39:49polish against my efforts . Well , yes , and they say there's no limit to perfection , but still , sometimes it's not worthwhile to simply pursue it further , it's unprofitable . That's not the right law . There is no limit to perfection , that's right . It's about the horizon , how much can be improved . Another question is , who

1:40:03should do it ? You do the bulk of the work , then delegate it . And then there are people whose time and attention are cheaper than mine . Well , it's better for me to pay them , let them polish it further . And then there are agents and agents , they can polish as much as they want .

1:40:22So yes , there is no limit to perfection , but I just don't necessarily have to do it . I see . Well , returning to your question , what are you proud of in your life ? Like , from some single decision , which maybe was made , which changed the course of your entire life , perhaps .

1:40:37Well , look , you can be proud of something when you don't see that something better could be ahead . To be honest , I don't have much to be proud of yet . I think that everything better is yet to come , and I still have good things to do . And I expect that in the

1:40:58future I will do something that I will be proud of now . Why ? Because any pride in something done in the past , it actually distracts you from searching , from further striving . Well , you've already done something cool . Well , life seems to have been a success . Well , and

1:41:20now what about fluttering around , life seems to have been a success . And I say : " I haven't done anything worthwhile in this life yet , so I need to create something worthwhile in the remaining time . " Well , this feeling , it's not just not about money , because you , well

1:41:38, from a financial point of view , what is it , it's just curiosity or the desire to leave a mark on this world , in history , so to speak , only . And First of all , it's curiosity . Curiosity , and it's not just curiosity , well , a love of knowledge , yes , but

1:41:55also a love of life . I like the process of living life itself . I like this game called life . By the way , one of the answers to what this world is like , I have , uh , that this world is a game , and I call it a single-player game . Why ? Because in this world , I perceive it

1:42:13this way : there is me and everything else is just scenery . Accordingly , any focap in this life , I am solely responsible and no one else . Well , I try to go through all these levels . Therefore , uh , I love this life , I love , uh , knowledge , and in general , I

1:42:31believe that life is movement , it is constant movement , not just movement , not empty movement , not in a circle , but development , evolution . Well , most likely , in a spiral , yes . We've talked a lot about self-development , about progress , about moving forward ,

1:42:52but now I'd like to touch on the topic of leisure . How do you like to spend your time ? Maybe you like computer games ? Or , I don't know , fishing or football ? By the way , you can watch the World Cup . I'm generally a professional at spending my leisure time , relaxing ,

1:43:10spending money . In this , I would give you competition , Putin . Here , I think , I'm beyond competition . Oh , but I like to go on so-called hunts . Hunting , but for me , it's not so much about killing animals and so on . It's more about communicating with nature . Hunting gives me meaning . It's as if

1:43:33I'm going there to hunt animals . In fact , it's the thrill of nature , it's communication , it's sitting by the fire , it's riding horses there . And it's about reflecting , it's sitting alone there by myself , and so on . So , trips to nature , you can call

1:43:54it hunting , fishing , it makes no difference , I'm not really chasing prey there . And then there are computer games . I play computer games , specifically strategic games , educational ones . Oh , and I don't just play , I observe the mechanics . What I feel , what I do , why I do it the way it

1:44:15works . Well , that's how it works . I love to play golf . And I love to read a lot , to study . Well , and wipe coding is now , in fact , a hobby for me , it's not a job . Well , in general , I would say this , and everything I do is actually a

1:44:31hobby . To be honest , I don't have a job . Here I perform , I like this hobby . I teach students there , I like this hobby . And the best job is a paid hobby . It is so simple , when you are not doing something that you don't like , then you don't understand why you need to rest .

1:44:52People tell me that I work too much . I say : " Well , in fact , I always have the feeling that I rest a lot , because the work that I do is like rest for me . " So , this is factory terminology again . There is intense work , then rest . And I

1:45:09think a correct , balanced life is when you see no difference between rest and work . You are in the flow , you live , you like everything that you you do . I just like that you ... By the way , I remembered , uh , a story from university about how science arose in the ancient world . It arose with the

1:45:28advent of the slave system , when people appeared who didn't have to do anything , and they just observed the sea , the stars . And , basically , they created philosophy in Ancient Greece and so on . I think that in our time , these will be robots . Well , basically , you're already in the role of those ancient

1:45:47philosophers , that is , you can afford to just devote yourself . Again , you know , and the desire to live a happy life . This , look , a happy life is not about wealth , it's not about earning money . A happy life is doing what you

1:46:08love . And if you know how to do it in such a way that you also get paid for it , well , that's a total thrill . I like one Islamic hadith in this regard , which says : " Let not the man who does not ... let not the man who does not find ... " paradise on this earth . " This is a

1:46:29hadith from Islam . So , the value of this hadith is that in fact , paradise is on this earth . We create hell with our passions , desires , and fears . Yeah . At one time , when my brother was already here in the spring , and I talked to him , I asked , I said : " Well , listen , if you

1:46:51follow all these commandments , then you have no enemies , you have all this peace in your soul , and so on . " Well , it turns out , it's a thrill , paradise turns out to be on this earth . And then he told me : " Well , of course , it is we who drive ourselves to hell with our

1:47:04passions . So , uh , really , and the hadith talks about this , let not the man who has not found paradise on this earth go to paradise . " And this means that you must build your life in such a way that you treat people well , and nature , and give value , and at the same

1:47:21time be a good person yourself and so on . And when you become such a person , then this world becomes paradise for you . Is it really ? You know , you rationalize everything , and it turns out , I talk to you , I get the feeling as if you have an answer to every question and as if emotions are

1:47:39completely beyond your control , uncontrollable , more precisely . Oh . Is this really so ? Does it happen that you give free rein to your feelings , that something overwhelms you or you madly like something and you have a personal question there . I will add this . Are you capable of making an irrational

1:47:58decision ? Yes , yes . Have you ever lost your mind ? Many times . In fact , with all my rationality , I am a romantic and An idealist . Yeah . And if we look at it from the perspective of my losses , the main losses in my life were caused by my

1:48:19romanticism and idealism . I mean , I've always , my whole life , trusted people deeply , and I've always idealized . I idealized the state , I idealized justice , I idealized our country , our president Nazarbayev at the time , and so on . But life turned out to be more

1:48:41banal . It turned out that officials can take away businesses , not officials , but Nazarbayev himself can take away businesses , that there can be contract criminal cases , and so on . Well , so to speak , all my losses are due to my romanticism and idealization . I wanted

1:49:01to serve my country , to be a patriot there , and a real businessman there , like Sava Morozov in Russia , the Trentyakovs , and so on . Well , yeah , so , of course , there were many of these , I would say , blows . And the reason for

1:49:23which was precisely my romanticism and idealism . Yeah . But whatever the blows , from this I haven't stopped being a cynic . I'm also a romantic , I'm also an idealist , I'm just adjusting it now . There are rules , algorithms , and so on . I've adjusted my worldview a little . I understand that

1:49:47there is meanness , injustice , and non-compliance with the law in this world . There is . Well , that's life . That is , I would say I've begun to accept life more as it is , and at the same time enjoy it and remain an idealist and a romantic .

1:50:09Nothing more to add . Thank you so much for coming . I was somehow filled with

1:50:14energy , or something , that's why , well , actually , your videos , all your performances , they really charge you with positive energy . They are very inspiring , and that's probably why they are popular . That's why I personally appreciate it a lot , and I think Farid will share this opinion . It was a

1:50:28pleasure to spend almost two hours with you here in the studio . So thank you so much for coming , and I wish you success and good luck . Thank you very much . It was a pleasure to share my thoughts with all your viewers . Bye everyone .