tishek, tell us a little about your family, what is it like today, how old are they, guys, the eldest son ivan is 14, will be 15 in august, a straight-a student, tries hard, is now into sports, has already entered the youth, such maximalism, diligent, has not yet decided on the choice of a future profession, with the choice of a future profession, well , we already understand approximately, what is this, like your father too, no, no, no, this...

carries a symbol, a code, that is, this is from your ancestors, an outstanding ancestor, a name that you want to continue, to glorify, to remember, it's not for nothing that we are asked, in whose honor you were named, and we dug into mine, that is, my family tree at tanechka's, learned about the priest father ioanni, when the fascists came, this is the penza region.

no, no, please, no, i want it to be mine, dima dyuzhev, and so 3d dmitry dmitrievich dyuzhev was born, completely opposite to the eldest son, who activity , artistic solution, scream, whiskey, dance, pretend, dress up, dress up, suddenly perform something, this is completely different, i say, tanchika, you said that i, i'm at home i don't behave like that, who is he... skin,

tanechka said here, yes, the science of psychology is powerless in this sense, but i want to tell you with your energy, what do you think, tanya, is it easy with you in general, i think, with me in general it is unbearable, unbearable, unbearable for anyone, well , you know, i also live in a happy marriage for 30 years, nothing has disappeared from the house, so i think that we are very lucky, and i am in the family column. i am writing with pleasure, there is no way out, so we will endure, dima, tanechka, we endure, we endure, as we do what, what we can, what we must, dear friends, this is podcast melodies of my life, today we learn about the main melodies of our guest dmitry dyuzhev, dim, i can't shake the feeling that i am, you invited me to the shooting. film about

your life, such a presentation, just absolutely like that, you know, we worked together on the set, you remember, i was filming with you. amazing energy of goodwill from our hero, to enjoy life with you, yes dmitry dyuzhev, nevertheless led me to such a tactful question, when dmitry is sad, what melody is associated with you with this condition, well, in general i really

love classical music, opera and maybe some aria of nadir from... the pearl fishers so, what is this, what is this i am so excited, i have no desire to interrupt your performance, what is this?

cargo on a huge liquor kamaz loaded with watermelons or tomatoes from astrakhan he accompanied the cargo together with the driver i am still at a loss in conjecture this is either some kind of truck driver what is this and he always took me with him and after that after that he worked on the barge and astrakhan moscow we are on the barge accompanied the cargo, too, tomatoes, watermelons , that's how it was. in all these journeys , i feel so sad, and sadness is because you're far from home, you're on a journey somewhere, but you'll still come back someday, that was something, for which you can't guess what he'll choose now, i because well, with nikolai rastorguev, yes, that's his song,

the road, you know so much, that's when there was such sadness, it was just pressing me there beyond... the sea and the way home is far, there beyond the fogs, eternally drunk, there beyond the fogs our

my dear, there behind the fogs, eternally drunk, foggy, our native shore in russian, yes, such a breadth of melody, it is something, yes, some kind of associative and in general the mentality was such in the nineties, everywhere some kind of threat, danger awaited you, everywhere someone had to answer, everywhere keep the core inside, that's your choice now, it's clear to me that you just needed to see at least 30 seconds, his majesty chance, well, really, then in the youth theater i worked in the theater of young spectators,

by the way, forgive me for not asking, but the first your theater, this is tyus, well, when i was a student, in the third or fourth year, we got practice on the lenkom stage and... in the next 10 years, perhaps they won’t give you lines and phrases, but i really wanted to start trying to act, start trying out a character, i don’t know, a psychological portrait, a medical record of your character, this is necessary, and if you are not in the pantomime genre, then you should, so to speak, learn to play monologues and you are not just and i, yes, i went to tyus, i showed up in different theaters, but then genrieta naumovna yanovskaya, the most talented director, her half is kama ginkos, this is

a director from the edge of the theater laboratory in general, i am a fan of this kind of directing, so i was happy that they took me then, but the first thing i encountered was, of course, uh, animals, i remind you that we are talking about how you got into the team, like in what, in the image of what animal for you? i saw, well, well, well, we had some kind of get-together until the morning, something like that, i came home in the morning, and i rented a room in a three-room apartment, then my mother came to visit me, i didn’t have a mobile phone yet, it was somewhere around 2000 - yes, here is the home phone, and my mother meets me at 6:00 in the morning, says: dimochka, they called you in the evening from mosfilm, they invite you to a casting for some series of bandits, something like that, i said, you will come.

well, tell me, i showed up, you called, and tomorrow i will come to you as a cucumber, and today, oops, such a moment, as if i was not warned, well, well , and so i did, i opened the door, the director of the sidrov brigade was sitting there and i say: hello, so you invited me, but at the moment i am not very warned was, so tomorrow i'm coming to you, he says: oh-oh-oh, come in, come in, come in, i say, no, no, tomorrow, tomorrow, he says, come on, come on, come in boldly, i say: well, that's just the situation, he says: well, come on, you know, i need one like this, i say, well,

to be honest, i just got home at 6:00 in the morning, no, well, will you play one like this for me, i say, well, you pour me some drinks at night, then i'll sleep for 2 hours and in the morning i'll come to the set exactly like this, well, you worked with him, and he says: i immediately approve you for the role of the fly, it's a role for two the first series, an antihero for sasha bely, yes , and i was happy, i came home, i say, mom, i was approved for the role of a fly, then do you remember such a famous science fiction film , where a man was transported with a fly, something like that, yes, then he turned into a fly, yeah, i say, mom, i was entrusted with the role of a fly, she says, what are you, son, starting your film biography with... insects, ask for a role with words, she said, why are you buzzing and buzzing there, i say, no,

that's a nickname, some kind of bandit is needed bandits, that's all, and then they call, dmitry says, we're looking for the lead role of sasha bely, an actor, we need a partner, could you play along behind the camera, do you have time, i say, yes, i have time, well, and i came, well, and 2 days for 3-4 hours, well, something like 50, probably actors who auditioned for sasha bely passed, and i... behind the cameraman, behind the camera, just in the corner, in the dark, that is, what is called, giving lines, well, at some point i had memorized, learned, well, i already started to play something, improvise, well, and sidorov, i'm not needed at all, attention here still there, and he periodically says: dima, here, just a little bit, go here, okay, why does he need it, well, i went over, and now this, and now this, now this, and periodically he gives me something, i change something, develop something.

that you gave me the role of a fly for two episodes of a small volume, i have never had big roles in i then say: you know, i am so happy, i have never played in a movie, so a bird in the hand is worth two in the bush, give me this volume, which i, as i feel, can do, but for 15 episodes, one of the main roles. and i can not cope, i can give you a lift, so you better leave me like a fly, and i say: young man, you come, we'll figure it out, we 'll figure it out, well, i congratulate you, because it's...

when i saw you, the bravo group, how you sang, how you played, it was, well, that is , my graduation from school, my graduation from the theater institute, some big holidays there, this song, name the song, song, it was always bravo, bravo, that uh, romantics, romantics, you know, recently we've been this song, we've been this...

i'll raise the brave and trouble, no trouble, be free them, help star, love girls, simple romantics, from important blood and moriks, leave girls, home boys, do not give them, your love, do not put them

to give your love. dmitry dyuzhov in the program melody mo life. thank you dear viewers that were with us, if you missed something, look on the website of the first channel 1tv.ru, it was the podcast melody of my life. thank you, valery svetkin. dear friends, on the air podcast creative industry, with you still alive, real copies of the hosts, this is still elena kiper, producer, video director, and i won't touch it yet, i need to make sure, roman karmanov,

ceo of the presidential fund for cultural initiatives, our guest... denis dimitrov is our guest today, managing director of data research at the largest bank , i'm very glad to be here, hello, that you came, we didn't just start like that, so visually, because artificial intelligence is really a topic that everyone hears about, but very few people understand what it is, everyone is already afraid, they are wary, well, in general something, well, what did you know, what is it, we know what it is in reality, we know a little. what is artificial intelligence? let's first at least figure out what kind of thing it is, in fact, artificial intelligence, there is absolutely no need to be afraid of it, since we started with this, it is a tool. which helps us do different things, that is , automates some part of our intellectual work, mainly the routine part, artificial intelligence - this

actually usually means some kind of neural network, what is a neural network? neural network - this is some kind of, you know, you can imagine it as a black box that takes something in and gives something out, that's exactly how we imagine it, that inside the black box, it's some kind of mathematical function, a function that now... for example, lies behind, for example, generating an image from text, has, well, billions of parameters, that's why they are so complex. what should an ordinary person who is now sitting in front of our digital, still tv, about artificial intelligence, pass, within the framework of such everyday understanding of artificial intelligence, this is artificial intelligence - this is such a black box, you can imagine it like this, which everyone just imagined now a black box, what to do with it, which learns. some solution, these solutions can be a huge number of problems, actually, which it solves, that is, you take some amount of data, well, let's say, some amount of knowledge,

well, conventionally speaking, you take all the volumes of leo tolstoy, load them into this black box, and it can give you, well, conventionally, another volume as by leo tolstoy, for example, well, in a sense, yes, that is, this function learns in this way, that is, the parameters are configured in this way, these billions are based on, as it were. is configured, what does that mean? it means that this, that is , the learning process occurs, if we are talking about language models, such as, for example, the well-known chat gpt, gigachat, for example, then this is a function that takes a set of words as input and tries to predict the next one, and thus, if we predict a word many times, then we will get, for example, the next chapter of leo tolstoy, this is what exactly does... the language model, after all, the neural network can do more than just compile, it can create some new interesting ones, that is , this is a new quality after all, that is

, how can i say, like if the neural network did not see some object during training, then of course it is unlikely to create it, but with those objects and with those styles that it saw during training, i mean, it can of course do different very, very cool things, in my opinion look, that is, it can process , for example, do some...

which was unimaginable 10 years ago, that is, the level of mathematics there, the level of interest of schoolchildren and sometimes even the quality of educational programs, which are actually made on artificial intelligence, they allow this science, and this is really a science, it is difficult, it is mathematics, it is... mathematics and actually machine learning calculations, to enter already in the seventh grade, and we conduct a huge amount there competitions, hackathons, and we see that children in general cope with complex tasks no worse than people who graduated from the institute, and what they do, here's what they do, well, actually the task, the task of a person who deals with artificial intelligence, well, let's say neural networks, although in fact there are a huge number of algorithms and types of algorithms, these are not only neural networks, it's just that neural networks are very flexible, so they allow you to solve a huge number of problems, even creative ones, that is, the task of a person who wants to create a model of artificial intelligence or artificial intelligence in

how to select an algorithm that suits the task, although recently there are universal algorithms that solve a huge number of problems, and how to train it, what is most important, you know, i discovered something amazing for myself, that a creative person, if he has some images in his head, there are ideas, fantasies, and so on, in order to put these images on paper, well, that is, he needed to acquire skills , he had to go to study, become an artist, a musician, and so on, now it turns out that with the help of artificial intelligence you will refute me or confirm this, that is, you can transfer these images from your head, so to speak, in the world network, it will create a picture for you, which in general will transfer the picture from your head to... than to the computer, this is true, as if it is possible, of course, of course, yes, and the neural network that draws pictures, for example, can accept text as input, that is, you can

write something in text. well, the text must be artistic, it must include everything images, you need to understand in detail what you want of course, this makes the neural network's job much easier, because it's easier for it when you 've described in detail what you want, it's easier for it to draw it, when you've written i just want a fish in space, for example, i don't know where that came from, well, it needs to think it through, and should it be in a spacesuit or not , should there be a planet in the background or? it turns out that surprise, surprise, yes, in some sense, there will be a fish in space, of course, it's not clear what kind, to control artificial intelligence must be studied, of course, yes, of course, and there is actually such a skill, which is especially relevant lately, it is promtoniring, that is , it is the creation of these very texts that are loaded into this black box, in particular yes, although in fact, this is the most frequent, let's say, task, although a neural network can create pictures for other types of data,

for example, you can draw:

the model learns from the data, and we can, for example, make a model that better generates russian objects, russian entities. it is clear that western networks, neural networks, they certainly saw, there is the kremlin, and some iconic russian objects, and a character, it is still unknown which kremlin exactly, well, that is, what kind of kremlin will be there for exactly that, yes, that is, they do not specifically set the task of making it so that it generates a model, their task is simply to generate everything in general, but we can set the task and, as it were, show the models a lot of our

data. such a domestic cultural code, and this is not only domestic cultural code concerns, it concerns any types of data that we want to show to the model, and for this, of course, we need to make our own developments. we continue the podcast of the creative industry, today our guest is the person who created the neural network kandinsky, denis dimitrov and elena kiper and roman karmanov are with you as before. i wonder, if i generated. then, when i am his masterpiece, i always want, no, you always need to mark in the masterpiece, here you will create something good, and then, is it possible to read from the data of this masterpiece, well let's say i forward it, it ends up in someone's use, can i open it and see all the data, how the iteration took place, that is, or is it already blocked, everything, this is not really how the generation took place, you can see, of course, that is, as

a specialist, i'm not. i can also tell you on my fingers, imagine how a person creates a picture, any, any image, any painting, he has some white canvas, well, not necessarily white, well, just white paper, some empty, a napkin, a napkin, yes, there is a tablet screen, he has some kind of idea is a must, he starts sketching out some details, with a pen, uh, a stylus, whatever, he adds details, maybe removes something, well, a person also has patterns in his head, that is, he remembered something, he has, he starts drawing a picture with the so-called white noise,

what is it, well, this is when there is no signal on the tv, such interference, just some kind of matrix, naturally there is your request, this is the same idea, as if in a person it is expressed by these neuron signals, neuros it is expressed simply by numbers, which... in which the text is encoded, and from this matrix step by step in the process of removing noise in the right direction, an image is created, that is, the creation of images from this white, this white noise, from this matrix you can simply visualize, that is , there are 100 steps or a thousand steps, during which from any of this noise the final picture is created and visualized, manifested, so to speak, for example, you want to make a pug in space, yeah, that's how you always have. yes, white noise at the beginning, and step by step step we get a mob in space at the end of this process, if the noise is slightly different, it is clear that the noise can be any way, that is , swap two pixels there, it will be different, but also a mob in space, this

matrix, in some sense it is responsible for the model's imagination, this can be visualized, but this process, it is called denoising or noise reduction, just so that it happens correctly, we need to show it. text, that is, so that it learns to connect text and image, in principle, there is an analogy with a person in this i mean, and you do all this every day, and we do all this, well , it’s not the russians who do all this every day, we do all this, and we improve the neural network every day so that it’s better. this process , let’s talk about the horrors of the future, this is exactly from what you just said, is it possible to assume that in the future...

signals in the head and, for example, it is possible there, so that without words you, roughly speaking, understand what you want, or you close your eyes, imagine something, i don’t know, for example, some kind of palm tree there, and it is possible from purely from the brain signals at the moment when you imagine decoding the picture, that is , what you, what you actually imagined, in general, this is also done by neuroses, others, they do not make a picture based on the text, but based on these time series of brain signals they make the same picture, here... in general, like, if you are connected to such and such an electrode , you can really train a model that understands you without words and draws a picture, if you need to draw a picture, but the limitation of these models is that,

that for each person, for now, you still need to teach your own model, that is, for each person, when he imagines a palm tree, the signals are slightly different, that is, like one model cannot be taught to all people yet , and to teach for each person, in general, i hope, i hope that not soon, and moreover, it will still remain, that is , you don’t need to be afraid of this, although it sounds somehow futuristic, but you don’t need to be afraid of this either, because in general , people who for some reason, probably, will use this they can't write, and if you can write, then you won't be putting electrodes on your head, you will, it will be easier for you to write, were there any moments?

they can't, let's say, that is, it creates something, well, not what you want, you want, and something wrong, but it creates it anyway, and this is probably best seen with and, as it were , you can trace it. with language models, you know, when chpt came out, these problems were especially visible, they were worrying about what is heavier, a kilogram of fluff or a kilogram of lead, well, it is clear that the neural network, it is in the training i saw the data, like the word fluff with the word light, she saw it much more often than fluff with the word heavy, well, on the contrary, which is logical, and of course she answers that a kilogram of lead means heavier, a kilogram of fluff is lighter, yeah, and explains why, well, this is the path to perfection, it somehow makes my soul feel a little better. three paragraphs, why? it's dangerous,

in fact, because - a schoolchild, for example, who looks at this model in response, he will believe it, then he will go on to broadcast this idea to his peers, and so on further. yes, and what to do? we need to fight hallucinations, in principle, this is the area that is currently developing most actively, how to teach this large language model, the generative model, to hallucinate less, well, we started with the fact that - warm, so to speak, if our digital images created by artificial intelligence were created, it would be interesting to look at them, of course, speaking, here are our models, lena thought about it, how we could look, we just have on this matter, oh, damn, who is this damn cat, no well, it's something like oh and you know how he sees us, right? yeah, wow, wow, and why did he make us look so young,

look, he compliments us, and hallucinates, and i, you see, in the form of a promt in my head, you look exactly like that too, and i 'll actually tell you how photorealistic portraits are made, we have a team that detects fakes, well, you know, right now this is a particularly relevant problem, well, with the development of generative models, you can generally make a bunch of fakes. and put it on the internet, and this can bring huge losses to both companies and states and reputational costs, that is, we need to learn to distinguish what is created by a neural network and what is not, so in fact, within the framework of fake detection, we decided to make a model that generates fakes, why? then, so that on that dataset that generates a generative model for creating fakes, we can finish training the detection model, so as part of this work on fake detection, we made a model for generating fakes and applied it here. that is, how does the model create your face?

first there is a model that describes you, then kandinsky creates your image , for example, with a tiger, you can type in anything, there at sea, there i don’t know, in winter, on alpine skis, and then the fake generation model, this one of ours, which helped the fake detection model, simply transfers the face, that is, this is the real you, in principle, that’s it, dear friends, we have a guest in the creative podcast. the main conclusion, even if we didn’t quite understand everything in general in the end, is still afraid nothing, look at the nice, smart people who are doing the things that we may be afraid of for some reason, no need to be afraid, because this is where our country's competitiveness lies, and it is in the safe hands of people like denis. denis, thank you very much, thank you very much, we are waiting for the next stage, antennas

on your head, analog versions, hosts, elena kiper, producer, video director and roman karmanov, ceo of the presidential fund for cultural initiatives. it was a podcast of the creative industry on channel one. see you! hello, in the program time about the most notable events of the day: personal control, vladimir putin with the military about the progress of a special operation, a summary report on artillery strikes in the zaporizhzhya direction. already among their own. russia returned 115

servicemen captured by ukraine in the border area. where are they now and how was the exchange. roads of life, one day with volunteers who save the elderly from ukrainian atrocities. native places suddenly became dangerous. harassment, for choice. robert kennedy took trump's side in response, shame on the family and cocaine dealer. american election dirt. from the grateful then flowers to the eternal flame. moldova 80 years of liberation from the fascists. memory that the authorities cannot cancel. emergency and medical restart the heart, help that can save a life. the hero fund's campaign was supported by famous athletes. let's start with footage filmed at one of the command posts of the ministry of defense, vladimir putin and the leadership of the joint group of troops. the supreme commander-in-chief received

reports from the chief of the general staff valery gerasimov, chief of the main operational general staff directorate sergei rutskov. the generals reported on the progress of the special military operation. the president discussed the situation on the battlefield over the phone with the commanders of the troop groups. in addition, they discussed countering the enemy forces that invaded the kursk region and measures to destroy them. and today the defense ministry reported: russia has returned 115 servicemen from captivity, captured by ukraine in the kursk border area, handing over the same number in return. the united arab emirates provided humanitarian mediation. about our soldiers take care. doctors, psychologists, even before that the first conversations with families. yes, yes, that's it, our, our guys met us, that's it , they're feeding us, everything's fine, we're going home, yes, yes, mom, i'm alive and healthy, mom, that's it, that's it, everything's fine, too, i'm all in russia,

home, home, all in russia, here are specific examples of the destruction of militants and equipment of the armed forces of ukraine in the border areas of the kursk region, personnel. ministry of defense. intelligence detected several enemy armored vehicles from the air at once, precise strikes with lancet loitering munitions, there where necessary, they used a drop from drones. but a ukrainian tank in a wooded area, the work of the same lancet. in total, almost three dozen units of various equipment were destroyed in a day. units of the north group, with the support of army aviation, fire and artillery , repelled attacks by enemy assault groups in the direction of the settlements of barki during the day. spalnaya, cherkasskaya, porechnaya and maloe loknya, thwarted attempts at attacks in the direction of komarovka, kremennoe, as a result, the enemy lost more than 60 people killed and wounded. in addition in addition, a tank, seven combat armored vehicles and two cars were destroyed. 10 servicemen in the ssu surrendered. reconnaissance and search operations are continuing to identify and destroy

enemy sabotage groups in the forests that were trying to penetrate deep into russian territory. over the past 24 hours, the ssu lost more than 360 servicemen. another 3,200 residents left the areas of the kursk region bordering ukraine, the ministry of emergency situations reported today. temporary accommodation centers are providing everything necessary. dangers do not abandon anyone, even if it is necessary.

confirmation that it is not peaceful here, i beg you not to drag it out, a drone is flying here, we are already shooting back at it, in the old minibus of the guys, there are already a lot of people, someone is crossing themselves, here no one needs to be told that a mine or a drone of nationalists can fly at them, on the street, past which volunteers are driving, taking people who have become dangerous to their native places.