soup, he was next to me, let’s say, and this is how love is born for you, well , including, yes, of course, well, necessity, and necessity, and why didn’t you talk to dad for 4 years, and this is generally big, it’s a long story, also absurd, my parents separated, and this somehow affected both of them, so how old were you ever? 25, that is, this? there was no, and you haven’t talked to dad since you were twenty-five? yes, it was, it was, yes, and he about well, i think that he experienced this breakup in his own way, and i apparently i also somehow experienced this breakup, and my mother was there, well, in general, but at some point he, well, i think that he just decided to be alone, so there were some attempts to get in touch with him, but they were not

successful, but they were less successful, plus this was the period when i moved to moscow, that is, it was only 4 years ago, and he remained in my hometown of chelyabinsk, so we didn’t see each other, yeah, with him, that is, we began to communicate normally, restored relations, when i arrived there, when i met him in person, we somehow we talked, something happened there, well , some kind of chemistry, i don’t know in a good way, and now... now we maintain a very warm, good relationship, well, that is, in fact , dad just needed to be alone, yes i think so, something was happening there and you don’t know, but these 4 years, as i understand it, were not very good for you either, they were very painful for me, very much, i also tried some... then i went to some setups, tried something with this, with the coach we tried to figure it out, and as if you also understand everything rationally, that you allow a person’s choice to communicate with you or not, but inside...

now in general, i don’t know what ’s happening to him, so i have some kind of picture from childhood, that my dad loves me, but now this is not there, and i suffer for some kind of illusion, this is the only idea that was, and i think so, well, probably, maybe that’s the case, i solved this illusion just to break that meeting him in person, in fact, it helped me in the end, that is, a personal meeting, it’s somehow all put it in its place, and dad, when he left for this solo voyage, and he once told you that... no, he was just

offended by you, by you, yes, by me personally, because that i didn’t congratulate him on february 23, yeah, that is, everything was fine, fine, everything was perfect, then you didn’t congratulate him, i was in another country at that moment, well, in general, and, well , i think there’s probably a lot maybe there ’s really a lot there, because it’s obvious that he was worried at that moment, it seemed to him that you were thus taking the position of a mother there, there's no point in inventing it now. dad probably already told you everything, okay, he was offended, he was offended, but instead of sending his inner soul on this voyage, for some reason you suffered because dad didn’t talk to you, and this and this is also important such a moment, because we are talking now, but the audience who watches us, they discover something new about themselves, because, for example, about making expectations a meaningful action, believe me, you won’t be able to stand more than 15 minutes , yes, i think it will help a lot now.

the number of people who suffer when they are waiting for someone who, for example, is late, in this context, when we talk about dad, it’s the same thing, i know that it’s really not simple, not simple, when a person suddenly dies and breaks off contact, at that moment you begin to think what i did wrong, what happened to me, why, how could he, because of what, but do i really deserve such an attitude, yes, but all this is pointless, because the person simply does not communicate, well, you can do it the way you do they did it... they took it, came 4 years later and talked, so too, it’s a shame that not earlier, yes, yes, well, it was a podcast of paw triggers, and its host tatyana krasnovskaya, and sergey nasebyan, we talked with tatyana about how to make the waiting process a conscious activity, and how, in general, to cope with the fear that we experience in moments when our loved ones cannot be near us, because we want it that way. you

can watch all episodes of the triggers podcast on the first channel website 1tv.ru. and if you are interested in analyzing your situation or solving some of your issues with us in this studio, you can fill out the form. which you will find on the website 1tv.ru. dear friends, the creative industry podcast is on the air, with you there are still living, real copies of the hosts, this is still elena kiper, producer, but i won’t touch it yet, you need to make sure, roman karmanov, general director of the presidential fund for cultural initiatives, we have visiting, denis dimitrov, our guest today, managing director on researching the data of the largest bank, i’m very glad to be here, hello, for coming,

we didn’t just start out like that, 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 afraid, well, in general , of something, but they don’t really understand what it is, and in fact, i already know what it is, we know a little, we use it, remotely, what artificial intelligence is, let’s first let's at least figure out what this thing is this is, in fact, artificial intelligence, there is absolutely no need to be afraid of it, since we started with this, it is a tool that helps us do different things, that is , it automates some part intellectually. artificial intelligence - in fact, they usually mean some kind of neural network, what is a neural network, a neural network is something you know, you can imagine it as a black box that takes something as an input and gives something as an output, we are just like that this is what we imagine, that inside

the black box, this is some kind of mathematical a function, a function that now, for example, lies behind, for example, generating a picture from a text, has, well, billions. you take a certain amount of data, let’s say, a certain amount of knowledge, well, relatively speaking, you take all the volumes of leo tolstoy, load them into this black box, and it can give you, well , relatively speaking, another volume of something like leo tolstoy, for example, well, in a sense, yes, that is , this function here, it learns in this

way, that is, the parameters are configured in this way, these billions are based on how it is configured, this is what this means that this, that is, the learning process occurs, if we are talking about... language models, such as, for example, the well-known gpt chat, gigachat, for example, then this is a function that takes a set of inputs words tries to predict the next, and thus, if we predict a word many times, then we will get, for example, the next chapter of tolstoy leo, this is what the language model specifically does, after all, a neural network, it can not only compile, it can.. . create some new interesting ones, that is. this is a new quality after all, that is, it ’s like saying, as if the neural network did not see an object during training, then of course it is unlikely to create it, but with those objects and with those styles that it saw during neural training , i mean, of course she can do various very, very cool things, in

my opinion, that is, she can process , for example, make some objects in the style of some artist, here you can argue whether this is creativity or not, yes these there are quite a lot of debates going on. in general they are doing at a good level - why it was impossible to imagine there even 10 years ago, that is, there really is a level of mathematics, the level of interest of schoolchildren, sometimes even the quality of training programs that are actually made on artificial intelligence, they allow you to get into this science, and this is

really science, it is difficult, this is mathematics, this is the intersection of mathematics and the actual calculation of machine learning, which is already in the seventh grade, and we spend a huge amount there. hackathon competitions and we see that children in general have complex tasks they cope no worse than people who graduated from college, but what they do, that’s what they do, well, actually the task, the task of a person who... is engaged in lecturing, let ’s say, neural networks, although in fact there are a huge variety of algorithms and types of algorithms, this is not only neural networks, just neural networks, they are very flexible and therefore they allow you to solve a huge number of problems, even creative ones, that is, the task of a person who wants to create an artificial intelligence model or artificial intelligence is how to choose an algorithm that is suitable problem, although recently there are universal algorithms that solve a huge number. task and how to teach him, what is the most important thing, i, you know, surprisingly discovered for myself that for a creative person,

if he has some images in his head, uh, there are ideas, fantasies and so on, for him , in order to put these images on paper, well, that is, it was necessary to acquire certain skills, he had to go to study, become an artist, become a musician, and so on, now it turns out that with the help of artificial intelligence you will prove this to me or or confirm this, that is... you can transfer these images from your head, so to speak, into a neural network, yeah, it will create a picture for you, which in general, will transfer the picture from your head, in general, to the computer, this is true, like it would be possible, of course, of course, yes, and a non-racenet that draws pictures, it, for example, can accept text as input, that is, you can write something in text, that is, you must be artistic, it must include all the images the more understandable you are. when you

describe in detail what you want, it’s easier for her draw when you wrote i just want a fish in space, for example, i don’t know where this came from in my head, she, she needs to figure it out, but she should be in a spacesuit or not in a spacesuit, there should be a planet in the background or not, it turns out that surprise, surprise, yes, in a sense, there will be fish in space, of course, but it’s not clear what kind. you need to learn to manage artificial intelligence, of course, yes, of course, and there is actually such a skill that is especially relevant lately, this is industrial engineering, that is, this is the creation of these very texts, which are loaded into this black box, in particular, yes, although in fact, this is the most common, let’s say, task, although a neural network can create pictures using other types of data, for example, you can draw a sketch and ask to make it realistic, also a task for a neural network in in general, such as kandinsky, for example, a neural network.

and we kind of thought, what kind of russian artists are there who painted in the style of abstractionism, the first first model was called the smallest, then we made large versions of the models, that’s how it appeared line of the kandinsky model, there are also neural networks, which also generally work somewhere in this area, why create different models, there are two reasons, the first is

the task, firstly, to create something new, secondly, to improve current architecture, even western, there is huge scope for improvement, and kandinsky line 2, here kandinsky 2.0212 are three models, they have a unique architecture, we even have a set of articles where we talked about this architecture and in general this model is known well, in everything really world in, say, the scientific community in the community of people who use the model, this is the first.

what we put into the model, we cannot put into the model if it is not ours, what we could put into it if it were ours, roughly speaking, well, you know, yes, that the model learns from data, and we can, for example, make a model that better generates russian objects, russian entities. that western networks, neural networks, they certainly saw, there is the kremlin, and some iconic russian objects, and a character, well, it is not known what kind of kremlin, well, that is, what type of kremlin will be there. they don’t specifically set the task of making it generate a model, their task is simply to generate everything in general, but we can set the task of showing the models a lot of our data of such a domestic cultural code, and this concerns not only the domestic cultural code, it concerns any types of data that we want to show to the model, and for this, of course, we need to do our own developments. we continue

the creative industry podcast, today we have guests denis dimitrov.

the picture does not correspond to the description that is written there below, or it may be that the picture contains a watermark, such data is probably also bad to use, because the neural network will reproduce this watermark, it says that the artists are already struggling, that is, they are spoiled.

not just half, more than half of all success, so after the data is stored, here it is in this c3 storage, you can actually train the model, yeah, training the model is just such an iterative review of this data and changing this huge number of parameters that i talked about, these billions of parameters that need to be adjusted so that when a new description appears as input, the picture would correspond to it. we have a video that was created by kandinsky, but before watching it, the question is this: we are generally conservative creatures in our own right, and well, well, even if some person is watching you right now, he thinks, well denis tells interestingly, you have to try, then the internal struggle begins, to be allowed into don’t

allow this artificial intelligence to lead your life. these are the areas that are already actively using artificial intelligence. who has already taken up this? we have fusionbrain.ai and there is such a developing special tool, it’s called a photo editor, now in general it’s very popular lately to make photo editors based on or rethink current photo editors like photoshop by integrating ai there, why is this useful, because it’s clear what to create based on the text pictures and editing pictures is much, much easier than actually drawing yourself, then what people have always done before is...

design is no exception at all, there is a routine part of this work, it needs to be automated as quickly as possible in my opinion, as well as possible, this will only save people’s time actually there and the quality of the content will increase, and animation, for example, how many routines are there, animation is not about creating videos at all - they actually make films there for so long, well, they can take years there, that is , now this can happen faster and faster, and that is, from well until creation full-fledged films are still technology. we haven’t matured to be honest, but the progress is such that if you are 3 years old, we said that for 3 years we have been working on neural networks, yes, i mean creating a neural network that generates

pictures from text, so if you look at how neural networks, the best neural network 3 years ago created an image, then you will see that it is very, very bad, let’s watch the video, let’s watch the video, i ’ll ask my questions, yeah, what can denis tell you, comment on it. i 'll comment, it's still animation, it's not the video is full-fledged, kandinsky did it, yes, kandinsky did it, it’s like how he does it, he draws the first frame from the text, and then you choose, that is, how animation differs from video, in that animation - this is a camera flying around a static object, or some kind of camera movement, and video is a full-fledged movement of everything, here it’s still animation, because there is a first frame, and then we choose the camera movement, well, that is, monotonous? and we can without creating a new model based on only models that generate an image

from text can generate animations like this, let's tell you where to look, yes there is, there is actually a telegram bot within which you can create animations like this, that is, anyone can do it, well, that is, it copes with complex tasks. industrial programs were exactly, that is, the memory is not complicated, i honestly don’t remember how much is needed there, it’s all created in the cloud somewhere, yes, it’s all created on a supercomputer, oh, a supercomputer is an interesting topic, that’s the training itself models and using the model, well, it’s called inference, it requires computing power, the model is huge after all, roughly speaking, it won’t run on an iphone or your smartphone, although progress is also being made towards this. so that it runs on a smartphone, well, at the moment kandinsky is running on the supercomputer cristofar, this is our supercomputer on which we teach models, both language and these generative ones,

which turn text into a picture in a video, and well, we actually use them there, when you make a request it flies to a supercomputer, it’s where it’s processed, it’s where kanzinsky seems to live, yeah, it’s where he makes a picture from the text, the picture is returned to you, yeah. what do you use a telegram bot or - well, in a bot - this is a certain number of iterations, that is, i go into the bot, talk about what kind of picture i want to create, a picture comes, then the next stage, i say what i want to see for the movement, and it gives me an animation, i stand in line, waiting for it all to happen, because millions of people are in the supercomputer, hop, that’s right, yes, but we actually have ways of scaling, after all , a supercomputer contains not one computer, but many, of course, if...

creating large models, although it requires a huge number of computing resources, data, and specialists , who will actually teach all this, but in principle, large bitechs certainly have such teams - they are engaged in the development of these models, for example, yandex has a masterpiece and the guys make a fairly similar technology, the only thing is that they do not have video generation, but today we only watched animation, it’s not a video, after all, a full-fledged video is movement. in general, i have a question that concerns copyrights, intellectual property, it’s clear that leo tolstoy, roman said in the beginning there, everything is leo tolstoy, he didn’t inherit it from anyone, he’s open history, yes, that’s it when you load data into a supercomputer, you license it, or it's kind of in the public domain, or it's not necessary, well, it's not like it's in the public domain, then

if they are on the internet, they are rather in the public domain.

acquired a supercomputer, this is a very super expensive event, in fact, all the calculations took place on this supercomputer, that is, she can claim ownership, on the other hand, there are developers who, the people who sat, sort of converted their knowledge into this nerset, that is, they can say that in fact they have the right to the picture, on the other hand there is a person, one person

who is sitting... the prompt writes in the end, and he can say, in fact, i am the author, that is, there are four parties, maybe even more, who in general, well, had some participation in the creation of the final picture, they made their contribution, but so far the story is that if a person, most likely, if a person, well, logically, each company does it differently in the end, if a person pays for using the neural network and receiving a picture. then the author is still most likely like this, and if motives are guessed from motives , usually, if something is created, it’s all the same a license is issued, i just want to say that such disputes arise only when the picture begins to bring a lot of money to the author, then a large number of other people arise who claim authorship, there is actually still a point that the non-racenet itself can appear, as it were

can claim its authorship. why create such a model that is not widely available, so that some limited circle of people can use it, well, no, well, to sell generation, we continue the creative industry podcast, our guest today is the man who created the kandinsky neural network, denis dimitrov, and elena kiper and roman karmanov are still with you, i’m wondering if i generated

data from this masterpiece, well, let’s say i forward it, it ends up in someone’s possession in use, is it possible to open it to see all the data, how the iteration took place, that is, or is everything already blocked, this is not really how the generation took place, you can see, of course, that is, how she is a specialist, not me, maybe a specialist , from what data she created, perhaps yes, but how was she created, like how kandinsky creates? pictures, i can also tell you on my fingers , imagine how a person creates a picture, any, any image, any painting, he has some kind of white canvas, well, not necessarily white, just white paper, some kind of empty, napkin, napkin, yes, there is a tablet screen, he

definitely has some kind of idea, he starts sketching out some details, with a pen, uh, stylus, whatever, he adds details, maybe removes something, well, a person also has patterns in his head, that is, he remembers, he has something. yes, he has a pattern, this is after training, so step by step he simply creates a picture, as he creates - the kandinsky model, in principle you can draw an analogy, he begins to draw a picture with the so-called white noise, what is it, well, this is it when there is no signal on the tv, there is 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, on the neural axis it is expressed simply... by numbers, which are the text, into 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 an image from this white, this white noise from this

matrix, you can simply visualize it, that is, there are 100 steps or a thousand steps during which from any of this noise the final picture is created and visualized, so to speak, appears, for example, you want to make a mob in space, yeah. here at you always have white noise at the beginning, and step by step you 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 whatever you want, that is, swap two pixels there, it will be different, but also a mob in space, this matrix is ​​in some sense responsible for the fantasy of the model, this can be visualized, but this process is called dinoising or denoising, so that it happens correctly... we need to show this neural networks one and a half billion pairs of pictures and text, that is, so that she learns to connect text and image, in principle , there is an analogy with a person in this sense, and you do all of this every day, and we do all of this, well , we do all of this every day, we don’t

do all of this, but we are improving neurosity every day, so that she better this process, let's talk about the horrors of the future, but i think i just loaded it, this is just from what you just said, can we assume that? in the future, yes, a person will do without this intermediary, directly immediately generate your own images from your head, let’s say on some kind of canvas, i don’t know, well , in the digital sense, of course, in fact there are studies, i wouldn’t say that this is just super big practice there and that they use it there actively, but there are studies that make it possible to decode brain signals, that is, you know, they put a reader there. electrical 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 it as something, i don’t know, for example, some kind of palm tree, and you can purely from the brain signals at the moment you

imagine, decode the picture, that is , what you, what you actually imagined, in general, neural networks do this too, others, they do not do it based on the text a picture, but using these time series of brain signals they make the same picture. in general, if you are connected to such an electrode , you can actually 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 , it’s not possible to train one model for all people, but... it is expensive to teach each person a model, and you need a supercomputer for each person, you need a supercomputer, until there is some kind of universal thing that suits everyone, this will not be soon, in general, i hope, i hope not soon, and moreover , it will still remain, that is, this there is no need to be afraid, even though it sounds

somewhat futuristic, but there is no need to be afraid of this either, because in general this will be used by people who, for some reason, probably cannot write, and if you know how to write, then you will not attach electrodes to your head, you will, it will be easier for you to write, were there? in fact, all the generative models that are being created so far, and those that will be created, they tend to hallucinate at some point, this is the official term, it means that if the neurosity doesn’t know something, but you still asked her to create it, she can’t create it, let’s put it this way, that is, she creates something, well, not what you want and something wrong, but she creates everything equally, and this is probably best seen with and can be traced, as it were, with language models,

you know, when chpt came out, these problems were especially visible, they were wondering which is heavier, a kilogram of fluff or a kilogram of soup, well, it’s clear that the neural network, in the training data she saw the word fluff with the word light, she saw it much more often than fluff with in a word, heavy, well, on the contrary, which is logical, and of course she replies that a kilogram of lead means heavier, a kilogram of fluff is lighter, yeah, and explains why, well, this is a feat for perfection. in response to this model, he will believe her, then he will go on to broadcast this thought further to his peers, and so on, and what to do, we need to fight hallucinations, in principle, this is the area that is now most actively developing, like this a larger language model, a generative model, to teach people to hallucinate less, well, we started with what...

to look at them, of course, here are our models and then lena thought about how we could use artificial intelligence, it would be interesting to look, we just have something about this, oh, yoshkin, no, never mind, this something like that and you know what it is. what are you looking at , he’s giving compliments and hallucinating, and i see you in the form of prom in my head, that ’s exactly what you look like too, and i’ll actually tell you how photorealistic portraits are made. we have a team that deals with detecting fakes, you know, now this is a particularly pressing problem - well, with the development of generative models, this is generally possible. make a bunch of fakes and post them on the internet, and this can bring

huge losses to both companies and states, and all sorts of reputational costs, that is, you need to learn to distinguish what is created by a neural network, what is not, so we actually decided to make a model as part of detecting fakes, which generates fakes, why? then, in order to complete the training on the dataset that generates the generative model for creating fakes detection model, so as part of this work on detecting fakes, we made a model for generating fakes. and applied it here, that is, how does kanzinsky create your face as a model? first there is a model that describes you, then kandinsky creates your image, with a tiger, for example, you can type in anything, there at the sea, there i don’t know, in winter, on skiing, and then a model for generating fakes, this one is ours, which helped the fake detection model, simply transfers the face, that is, this is the real you, in principle it is, yes, dear friends, denis dimitrov is our guest on the creative podcast.

the main conclusion is that even if we don’t understand everything in general in the end, there’s still nothing to be afraid of, look at how nice, smart people are doing those things that you and i may be afraid of for some reason, there’s no need to be afraid, because that’s what the competitiveness of our country, and it is in the reliable hands of such... it was a creative industry podcast on channel one. see you.

hello everyone, this is a free program podcast, i’m maxim tronkov, our guest is the maestro, ilya overbukh, ilya, hello, hello, first of all, thank you for inviting me, because i always watch with pleasure, it’s such a quiet time at night when you really dig deep for sincere answers, everyone here in this chair opens up very much, and i was waiting for this... federation very much attention focuses specifically on the development of the artistic side of skating among athletes. that is, in principle, now the field for your activity is directly open, there are a lot of requests, a lot of coaches are asked, they call asking to put on programs? well, quite a lot, quite a lot, in general i am like that i’m proud that there are many programs in sports programs in general, with which the guys

won, including when zhenya medvedeva and i collaborated, just two of her years, when she became a two-time world champion, we did all the programs, here with. .. his charisma, but so far we have only left just such demonstration dances, now the international figure skating federation is just thinking about moving from complicating the technical to the artistic, how do you feel about this, about this initiative? well i should of course

to advocate, i must of course shout that yes, yes, because figure skating is eternal and it is an art of sport. i still think that this story, connected with the exorbitant level of jumps, it, of course, excites and delights people more than these moments of art, even take the breakthrough of our girls, it’s fantastic when our girls jumped these endless quads jumps, and this is the fight of quadruple jumps, anyway, we talked first of all about this, when everything comes together, when it really doesn’t just gymnastics. well, in terms of execution, when it also fits into a single image, for example, probably from such programs that i didn’t stage there, but i’m considered absolutely there, this is baller aleev, yes, well, you can just admire this program endlessly, when everyone the jump is organic, this is of course the highest story, everyone dreams of this, but

if you still compare, then probably the technique of the elements wins the interest, why are you, being... a director from god, always talking about dances, commenting on dances, but you never work with the tops in terms of performances? dancing takes a lot of time, but objectively, firstly, sasha zhullin can cope on his own, and our leaders cope with it perfectly with their team, i don’t know why it doesn’t work out, well, now i just think that there there are so many of these ins and outs in ice dancing that... i’m not fully interested yet, probably, but honestly, on the other hand, no one, as i said, no one is calling, yes, if, of course, the senitsa on i was invited to the kosalapov, but who would be happy, then look at them as a couple, just, just do the running ones and you already get aesthetic pleasure, because well, they are both absolutely beautiful, guys, and

of course, this is such material, but i’m just publicly, so that sasha doesn’t think that i ’ll catch him there, i directly ask , let me do with them. pointer dance, and if zhulin offered you such an option that you put up the next year’s russian challenge with the kitselap’s number, but don’t put it up to anyone else, hmm, or there’s already a question of money, but so far something is not very good with money, you always not very, everything is fine, it’s jewish, yes, you know, i’m not lying, honestly, you can take me at my word later, i... even here - probably in any case, but of course it’s hunger and thirst, well, honestly not money, but the thirst to be with everyone and with this and that and to show your versatility of your talent, of course it comes out of you, but this year i realized that i was because i had quite a lot. ..