line 2, here is kandinsky 202122 - three models, they have a unique architecture, we even have a seturs, then what we could lay down 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 , 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, well, that is what kind of kremlin will be there, exactly like that, yes, that is, they do not specifically set the task of making it generate a model, their task is simply everything in general. generate, but we can set the task of showing the models a lot of our data of such a domestic cultural code, and this applies not only to the domestic cultural code, this applies to any types of data that we want to show to the models, and for this, of course, we need to make our own development. we continue the creative industry podcast, our guest today is denis dimitrov, and the man who created the kand

kandinsky did this?and then you choose, that is, how animation differs from video, in that animation is the camera flying around a static object, or some kind of movement cameras, and video is a full-fledged movement of everything, here there is still animation, because there is a first frame, and then we select the camera movement, well, that is, the monotonous movement of the camera, such a zoom. we select the first one, draw the first picture according to promtuzumin , and without creating a new model , based only on the model that generates the image from the text, we can generate animations like this. let's tell you where to watch , yes there is actually a telegram bot within which you can create animations like this, that is, everyone can to do this, well, that is, it copes with complex tasks, well, that is, the telegram bot is listed here, the current task was ... this is our supercomputer, on which we teach both language models and these generative ones, which turn text into a picture and video,

models, this is how the line of kandinsky models appeared, there are also neural networks, which also , in general, well, somewhere around this area work, why create different models, there are two reasons, the first is that it’s kind of not, let’s say the truth in the latter, in general , machine learning is engineering, combined with mathematics, and like any other art of engineering, it implies that you need to do and come up with some new details, new features. make slight changes to existing architectures, thereby making the algorithm is the best in terms of the quality of understanding the text, this industrial product, the visual quality of the image, in fact, when we made kandinsky and are doing it, we set the first scientific and technical task, firstly, to create something new, secondly, to improve the current architecture, even western, there is huge scope for improvements, and there are two kandinsky lines, here is kandinsky 202122 - models, they have a unique architecture, we even have a set of articles where we talked about this architecture, in general this model is kno

well, that is, it’s as if we recently introduced a model that generates video, we called it kandinskyis line, but what does it better, the domestic one knows better the cultural code, of course, is what we actually set before the model. what task, and we will certainly develop this further, what is the problem with russian data , knowledge of the russian domain is that data russians, of course there are fewer of them. what does the model learn from, it learns from data from the internet, that is, from open description image pairs, it seems to capture the data at the time of the request, naturally there is a team that deals with the data, and that is, the data is already contained in it, it does not search in this moment on the internet, no, no, no, in no case, it is precisely what she creates, in this, it is as if unique , where this voluminous amount of huge amount of data is stored, this is kandinsky the third who studied on one and a half billion pairs picture text is possible. what does this mean, remove everything, well, if you go to the internet, then in general half of the data

did it, yes, kandinsky did it, it’s like how he does it, he draws first frame according to the text,nd then you choose, that is, how animation differs from video, in that animation is a camera flying around a static object, or some kind of camera movement, and video is a full-fledged movement of everything, here after all. animation because there is a first frame and then we select camera movement, well, that is, the monotonous movement of the camera, such a zoom, and we select the first one, draw the first picture according to promtumin, and we can, without creating a new model, based only on the model that generates an image from the text, generate animations like this, let's tell where to look, yes there is, there is actually a telegram bot, within which you can create animations like this, that is, everyone can do this, yes, well, that is, it copes with complex tasks, well, that is, a telegram bot, this means, the current task was , in my opinion, very difficult, i honestly don’t remember exactly what industrial processes were there, that is, you don’t need a lot of memory, it’s

our guest today is denis dimitrov, and the man who created the kandinsky neural network. he does better than his analogues, let’s say, the analogues are wrong according to his word, well, it looks like it means on neural networks that solve the same problem, generating images from text, for example, what we are cooler in, although kandinsky videos are generated now, yeah, now, well, that is, it’s already, as it were, we’ve just recently presented a model that generates video, called kandinsky video. although we probably should have called it something torkovsky, well, they called kandinsky video, we will continue this line, but what does it better, knows the domestic cultural code better, of course, this is what we actually set before the model, which task, and we will certainly develop this further, what is the problem with russian data , knowledge of the russian domain, is that russian data, of course there is less of it, what the model learns from, learns from data from the internet, that is, from open pairs of image descriptions , it seems to capture the data at the t

contemporary artists will be held in the exhibition hall of the creative space new manege. called kandinsky video, we will continue this line, that’s it, but what makes it better is better knows the domestic cultural code, of course, this is what we actually set for the model what task, and we will certainly develop this further, what is the problem with russian data, here is knowledge of the russian domain, is that there is certainly less russian data in what does the model learn, it learns from data from the internet, that is, from open pairs of images and... writing, it seems to capture data at the time of the request, no, well , naturally, there is a team that deals with the data, and that is, the data in it already contained, she is not searching on the internet at this moment, no, no, no, in no case, she is creating, this is somehow unique, where they are stored, this voluminous amount of huge amount of data, kandinsky the third studied on one and a half billion pair a picture with text, and you can imagine how many terabytes of data storage are needed there. on a supercomputer there

kandinsky did it, as if how he does it, he draws the first frame from the text, and then you choose,

we continue the creative industry podcast, our guests today are the man who created the kandinsky neuralmanov, who are still with you. i’m wondering if i’ve generated a masterpiece, then when i’ve created his masterpiece, it’s just a picture. impossible, yes, but how it was created, this is 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 blank, 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 . adds details, maybe removes something, well, a person also has patterns in his head, that is, he has memorized something, he has, now he has patterns, this is after training, so step by step he simply creates a picture how kandinsky creates a model, in principle an analogy can be drawn, he begins to draw a picture from the so-called white noise, what is it, well, this is when there is no signal on the tv, there i

well, that is, it’s as if we recently introduced a model that generates video, we called it kandinskycourse, is what we actually put in front of the model task, and we will certainly develop this further, what is the problem with russian data and... knowledge of the russian domain is that russian data, of course there is less of it, what the model learns from, it learns from data from the internet, that is, from open pairs of images description, it seems to capture the data at the time of the request, no, naturally there is a team that deals with the data, and that is, the data is already contained in it, it does not search on the internet at this moment, no, no, no, in no way in this case, it creates, in this case, as it were uniqueness where they are stored, this voluminous quantity, a huge amount of data, this is kandinsky... the third one studied on one and a half billion pairs picture text, and you can imagine how many terabytes of data storage is needed, well, there is a supercomputer, it’s like studying all this on a supercomputer and stored nearby in special storage facilities

creates your face as a model , first there is a model that describes you, then kandinsky creates your on the sea, i don’t know in the winter on... but one, in the reflections, will look narrowly, the one who won’t stand above the eyelid, oh, yes, i’ll tell my friend about him, we him one, for now , young lady, tell the truth, tell the truth, all this night i’ve been waiting for miracles, oh yes, my friend will tell me about him, my one , tell the old world of peace, lying down that night and breaking up in the morning, oh yes. they will tell me about him, but only him. show me, bewitch me. nagada, young lady, pramdu, do, tell me, dear, beloved daddy. hello everyone, this is a podcast without a format, and as always, my permanent presenters are with me in the studio, this is karina cross, valya carnival, behind me. no longer a format, it opens up talents. today three musicians will come to visit us in our studio; they are beginners, one might say, from the people. and just yesterday they watched us on tv, and today they will present their extraordinary covers of the song of our guest t

line 2, here kandinsky 202122 - these are three models, they have a unique architecture, we even ...who use the model, this is the first reason to move progress, the second reason is that - if we just use other people’s neural networks, then we are in some sense limited in what content, how we can influence the creation of content, in fact, what we put into the model, we cannot... put into the model, if it is not ours, then what we could lay it down, if it were ours, roughly speaking, well, you know, yes, that the model learns on 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, well, that is , what type of kremlin is there exactly, yes, that is, they do not specifically set the task of making it generate a model, they have a task. just to generate everything in general, but the domestic cultural code, and it’s not we who can set the task for how show th

and what successes are recognized for kandinsky?

, where he took a painting by kandinsky yamalevich on the plane of the canvas, he revived each elementripes, in circles, in sticks, squares. all these are many paintings by kandinsky, this idea moved me, each element moved in some way there are many paintings by malevich on canvas and their rhythm and transformation, which i just really liked on one, and i began to think how i could do the same thing to revive my own graphics. the president of the jury of the riga assembly was the outstanding french couturier, patriarch of unconventional fashion, pakaraban. i don't like the word avant-garde. i never knew what it meant. i know what the vanguard, the main forces and the rearguard are, like military terms. use materials, technology, colors and shapes of today that would allow for a woman of our civilization to carve out her individuality in movement, or are you from the past, that is, from the rearguard, when you sew conservative clothes, move as you moved before, because this is a man of the future, a representative of the avant-garde, i don’t think so, i’m not a representative of the av

creates your face as a model, first there is a model that describes you, then kandinsky creates yourith a tiger, for example, you can type in anything, there at the sea, i don’t know there in winter, skiing, 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. yes, dear friends, denis dimitrov is our guest in the creative industry podcast on channel one, the man who created the kandinsky neural network, a wonderful team, and the main conclusion, even if we don’t quite understand everything, in general, in the end, we understand, there’s still nothing to be afraid of , look how nice, smart people are, doing those things that we may be afraid of for some reason, not we must be afraid, because this is the competitiveness of our country, and it is in the reliable hands of people like denis. denis, thank you very much, we are waiting for the next stage. the antennas are on your head, with you there are still analog, analog versions of the presenters, elena kiper, producer and vi

a sketch and ask them to make it realistic, also a task for a neural network as a whole, such as kandinskyafter the great artist? and like any, any engineering art, it implies that you need to do and come up with some new details, new features, make a little changes to existing architectures, thereby making the algorithm the best in terms of the quality of text understanding, here this product, the visual quality of the image, and in fact, when we did kandinsky and are doing it, we set the first such scientific and technical task, firstly, to create something new, secondly, to improve the current architecture, even western, space for...

fundamental model of artificial intelligence, well, everyone has seen these cats who draw uh models like kandinskyhis is such a... not to say that it’s a bomb, but it looks cool, well, these are these types of technologies, they can and should be adapted for the data that we are now discussing, and from this can be very useful, moreover, abroad, in the usa, in china, this work is actively being carried out, we need to start it here too, well, yes, of course, in russia there is a real boom in erosetey, right now other models are being developed for natural probability assessments. another one, by the way, also from skoltech, deals with long-term assessments flood risks. more details about it in our review. we load climate model calculations, weather station readings, reanalysis data into the machine, add information about the relief and voila. artificial intelligence provides an answer to the question of where, with what probability , rivers may overflow their banks in the foreseeable future. this cannot be fully called a forecast. roset will not be able to predict the fact of a flood in a particul

paintings by kazimir malevich, wassily kandinsky, andy orhal, united by the theme of square and spaceone of the first to see them. in the gs2 cultural center there is a square and space. practice of future generations. alexander rotchenko contrasted the white on white reality that defined malevich’s artistic style with black on black, and after this color triptych he abandoned painting altogether and went into black and white photography. in due time we we made a museum quartet so that museums can be friends, here there are more than 130 works, and more than 80 are ours. the best state museums, that during this time such friendship was created. at the exhibition there is a symbolic tribute to the treasure of private collections, a cubic portrait of picasse ambroisavart, the main european philanthropist, as the artist noted, the most beautiful woman in the world was not painted as often. according to legend, messiah valar bought 150 paintings by the young cezanne, still unknown to the public, in one fell swoop. this exhibition is a completely unique complex. a unique space, very harmon

country, but in the world, this is our artificial intelligence, which is called gigachat, this is the kandinskylatform, and today we are already creating a number of products that are used in various sectors of the economy, in different regions, you are absolutely right, in the regions several pilots pass, the pilots pass it very successfully, the most important conclusion is that... the exam, a very difficult exam of the examination committee, consisting of professors in the medical field, passed this exam with a b plus, we hope that in the future you will pass it with an a. stanislav konstantinovich, thank you very much for taking the time for our interview and for the excellent forum. thanks a lot. order a free credit card. alfabank with a whole year without interest, get a superkick in rubles for all purchases, withdraw for free cash. not just profitable, alpha profitable. the best deposit in sberi up to 18% per annum, have time to open it before the end of june. looks like an allergy, primiladin renival. renival. we trust renival. we choose renival. i have a question for you: do you have a

unprecedented scale the visiting exhibition will show more than 100 paintings by famous artists, repin, kandinskyssian art from the 15th century to the end of the 20th century. after the big evening news, don't miss the final episodes of the film with seven seals. we continue to monitor developments. stay with us.

creates your face as a model, first there is a model that describes you, then kandinsky creates yourmple, you can type in anything, there at the sea , i don’t know, in winter, skiing, and then a model. generation of fakes, 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 how it is, yes, dear friends, denis dimitrov is our guest in the creative industry podcast on the first channel, the man who created neroset kandinsky, a wonderful team, and the main conclusion, even if we didn’t understand everything in general in the end, there’s still nothing to be afraid of, look how nice, smart people are. deals with those things that you and i may for some reason be afraid of, there is no need to be afraid, because this is the competitiveness of our country, and it is in the reliable hands of people like denis. denis, thank you very much, very much, we are waiting for the next stage, the antennas are on your head, we are still with you analogue, analogue versions of the presenters, elena kiper, producer, vide

the name of wassily kandinsky is known to everyone, but few people know that he made the decision toture abstract artist wrote in his diary, to me for the first time i was able to see folk art in its natural environment and its own soil. it was in these extraordinary huts that i met for the first time. with that miracle, which later became one of the elements of my works. traveling to the harsh, unexplored northern region, which is partly located beyond the arctic circle, was, of course, an eccentric act, because in the 19th century the comfort of europe was more often chosen for travel, but kondinsky was driven by curiosity. the desire to touch the original culture of the finno-ugric people, who have lived here for centuries, komezeryan, that’s it the miracle that the artist mentioned in his notes, verkhnevochegodsk wood painting. on the upper vychega there were a number of villages where craftsmen were engaged in painting spinning wheels; it is distinguished by the fact that the blade of this spinning wheel is leaf-shaped, the background of all of them is dark burgundy. and an abun

expressionists, kandinsky, munter and the blue rider, the theme of which was the work of artists unitedt the most important thing: moles, which of them need to be monitored especially carefully, who should remove moles, and in what cases do they degenerate into melanoma? they say that if there is a mole on the left cheek, then this person is creative, i would, of course, remove it under strap, how effective is it to suck out the venom from a bite wound? and how often people become infected with sexually transmitted infections through a towel. questions from the doctor. alexander myasnyakov asks, you answer. this is impossible. intestinal infections in summer. for whom are such poisonings especially dangerous? why shouldn't you take popular anti-diarrhea medications and antibiotics? you need to drink when infected, whoever is first, you pour it, or he is dehydrated, they will develop bloody diarrhea, and the little one may die, traditional topic, moles, moles melanoma, and today, by the way, the program will be based specifically on your questions, help me, not even help, but i will help

could have been like. and what would the brutal pushkin post, a question for the neural network kandinsky example with a pack of popcorn. and he would now be sawing shorts and rails, the creator of another non-network, vladimir, is sure. i remember a wonderful moment, you appeared before me like a fleeting vision, like a genius of pure beauty. by the way, according to family legend, he and pushkin have common ancestors. pushkin’s great-grandfather, peter the great’s macaw hanibal, yes, he had many sons, one osip, who was actually pushkin’s grandfather, and he also had a son isaac. we have a belief in our family that this is our ancestor and are transmitted. for all men, some signs, yes, external similarity, curly hair, now with the help of artificial intelligence they help the ancestor illustrate his works, anagen, anagen in the forest, it’s somehow strange that he doesn’t seem to be particularly in the forest, dubrovsky, dubrovsky, everything right, good, and where is anegin, on the far right, no, that’s right, yes, starts, young, certainly the hero of the day would have been celebrated