the model will be more accurate, its metrics will be higher if we model, for example, a year in advanceems optimal from the point of view of the quality of the models. the first story is who this could be for, where it could be used, this is definitely the insurance industry. colleagues can use our models to clarify the risk of natural disasters and accordingly. this will be a useful tool for them, the second industry for which the use of our models is relevant is this is banking, that is, we can reduce investment risks, including credit risks. the third industry for which our models may be relevant is business as such, that is, for example, for such industries as agriculture, mining industries, the technology is applicable and other emergency situations. in addition to floods, artificial intelligence can calculate droughts, heat waves, increased winds, convective processes, that is, heavy precipitation, as well as the degradation of the long-term world zloty, for which a separate model has been developed, however no matter what natural disasters the neural network evaluates, it is alwa

better is better knows the domestic cultural code, of course, this is what we actually set for the modelhat 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 is, as it were, all this is learned on a supercomputer and stored nearby on special storage facilities, they are called s3, but these are such large, large data storage fa

, but it is created arriving economic model to model. this is socially oriented in the production economy. this is a model that is different from the woods. now, neo liberalism tried to impose on us using last model because in our country we have very important and serious measures for social support them. and we are guided by all fundamental values that quote, to the indigenous people of believe the, and of course we focus on manufacturing and production is people they know this is a mechanism to create a new, retest for our country. and this is the model that has been developed, we've taken into account since he's able to get all characteristics that are typical to believe in economy and believe in society, it will not be reading starts here in the world. so how does this model function, your 1st and foremost, this model is based on the economic growth and developmental. those include some, some representatives and everything is also that we're taking its foundation in the use of natural resources for the go to put it in people and ass

, their task is simply everything in general. generate, but we can set the task of showing the models 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 kandinsky neural network is still with you. elena kiper and roman karmanov. and what successes are recognized by zakandinsky already? that's what he does better than, let's say, analogues that are wrong according to his word? well, it looks like neural networks that solve the same problem, generating images from text, for example, where we are cooler, although kandinsky videos are generated now, yeah, now, well, that is, it’s like, we’ve recently presented the model , which generates the video, was called kandinsky video, although, probably, necessary. from the internet, that is, on open image description pairs, does it seem to capture data at the time of the request? no,

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

itself and applying the model, well, it ’s called inference, this requires computational power, thege after all, on an iphone, roughly speaking, it will not run on your smartphone, although progress is also being made towards this, so that it runs on a smartphone, but at the moment kandinsky is launched on the supercomputer cristofar, this is our supercomputer, on which we teach models both language and here. these generative ones, which turn text into a picture in a video, well, that’s where we actually use them, when you make a request, it flies to a supercomputer, it’s processed there, it’s where kanzinsky seems to live, yeah, that’s where he is - from the text makes a picture the picture is returned to you, whatever 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, the next picture comes. competitors are spying on something, to be honest, and this is not artificial intelligence - this is not an exception, of course, but just how ahead are you of your competitors? and

every new 3 series generation had its own m model. in 1990 the 3rd generation of the 3 series arrived the 36 with the rather conservative. the 3 model came out and i popping colors in 1998 the new, but only slightly modified the 46 followed. to this day, the a model from this generation is especially popular was 40 bmw drivers in 2005, the 5th generation hit the streets. the 90 was quite compact. and for the 1st time, the m model had an 8 cylinder engine under the hood. yes, hi, hold on when you shift, it always feels like a hammer blow to the back. like always thing to that can't be good for the car, but it's super cool. and the voice of these, i don't need to say more than that. it all looks very masculine. initial in the pipe here alone and 8000 to rpm. it has to build for leaders of cubic capacity with air. somehow. with a 1000 r p. m at 280 kilometers an hour and $420.00 horse power. taking the wheel of a 3 series bmw. you can spur men's competitive instincts by you. and as soon as i am i saying they were all poor losers in the c

, to complete the detection model and so, as if, as part of this work on detecting fakes, we made a modelirst there is a model that describes you, then kandinsky creates your image, with a tiger, for example, you can put in anything, there at the sea, there i don’t know, in winter, on mountain 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, it is, yes, dear friends, denis dimitrov is our guest in the creative industry podcast on channel one - the man who created neroset kandinsky wonderful team, and the main conclusion, even if we don’t have everything, in general, in the end we understand, 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 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, thank you very much, we are waiting for the next stage, antennas on your

their task is simply to generate everything in general, but we can set the task of showing the modelies not only to the domestic cultural code, this applies to any types of data that we want to show to the model, and for this, of course, you need to make your own developments, we continue the creative industry podcast, our guest today is denis dimitrov, the man who created the neural network. what does the model learn from, it learns from data from the internet, that is, from open pairs of description images, it seems to capture the data at the moment, 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 creates, in this it’s kind of unique where they are stored, this voluminous amount of huge amount of data, this kandinsky the third studied on one and a half billion pairs of pictures and text, and can you imagine how many? there - a terabyte of data and storage is needed, well, on a supercomputer there is , as it were, all this is learned on a supercomputer

this bmm model isn't stuff of dreams. the have the opportunity to realize your dreams and then in cause. i'm not snow thing. to do agenda or type when i was 16, it was my teen dream to have any 30. and i remain true to the 3 series ever since. it was always been my thing that i have uh my, my, uh, the, the, the beam w 3 series really is a car that has something for everyone. and because the 6 generation cf 30 and the current 7th generation, the g 20 has sold well, b m. w also plans to introduce some electric 3 series called the new class in 2025 . so bmw is legendary 3 series, which set to live on for years to come. the, the as the human population grows. so those are impact on the planet and behavior affect it in all kinds of ways. many of them, no good. yes, you by the notation is driving all sorts of positive changes to welcome to eco africa. i am chris a lens in lagos, nigeria. yes, we need to find ways to adopt mid communities more resilient and above all to.

, you know, yes, that the model learns from data, and we can, for example, make a model which is betterere is the kremlin, and some iconic russian objects, and a character, it is still unknown what kind of kremlin, well, that is, what kind of kremlin will be there exactly, yes, that is, they they don’t specifically set the task to make it generate a model, their task is simply to generate everything in general, but we can set the task to and, as it were, show the models a lot of our data of such a domestic cultural code, and this is not only the domestic cultural code... he essentially said that the next president will be trump, and he influenced the speaker, that is, this is interference in internal affairs, he is convinced that putin wants part of the north of kazakhstan, you told them that putin wants to seize their state, which means they are scared, yes. humanly sets up both trump and the minister of foreign affairs of kazakhstan, this will not be forgiven him, from now on cameron can be considered a political dwarf. premiere, show of vavan and lexus. on wednesday, on the first. we

this bmw model is and stuff of dreams. the have the opportunity to realize your dreams and then in cause a not snow things do agenda or cuts. when i was 16, it was my teen dream to have any 30 and i remain true to the 3 series ever since. it's almost always been my thing. if i have uh, my, my uh, the, the, the bmw free series really is a car that has something for everyone. and because the 6th generation fee of $30.00 and the current 7th generation, the g 20 has sold well bmw. you also plans to introduce some electric 3 series called the new class in 2025. so bmw is legendary, 3 series look set to live on for years to come, the the, the ready to take up. let's do that right now on our end the trying those the electric vehicle industry. so i thought keeping points, well it's wife of course.

the very 1st 3 stories model with the right hand drive. the 1st thing that comes to my my was the design of the top noise because it's very unique design the design of the view between the why this, why ahead of time. the 21 was designed by paul brock. the frenchman was also behind the design of the mercedes, 600 to legendary limousine from the 19 sixties and seventies. then he marked another milestone automotive history. when the 21, the 1st bmw 3 series hit the road in 1975 and a real 3 series fan, there was no limits with many heavy mechanics. some tinkers keep trying to optimize the 30 models in particular. so you know, took them out from brandon version, eastern germany is among them. he loves to work on this car is called a $55.00, the mechanic friendly and the community is also not to be smoothed out. that is considered many people basically tear the whole e 30 a par to re chrome every single screw and rebuild it due to their complexity. you can't do that with many other models to muscle, to help you mechanics policy and to know one

and the application of the model, well, it’s called inference, this requires computing power, the modeler all, on an iphone it, roughly speaking, will not run on your smartphone, although progress is also being made so that it runs on a smartphone, but at the moment kandinsky is running on the supercomputer cristofare, this is our supercomputer on which we teach both language models and these generative ones, which turn text into pictures and videos, and that’s where they actually are. we change when you make a request, it flies to a supercomputer, it is processed there, it is there, as it were, kanzinsky lives, yeah, that’s where he makes a picture from the text, the picture is returned to you, where do you use a telegram bot or well, in the bot it’s 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 and wait. of course, but just how far you are ahead of your competitors, this is a competitive struggle,

models. this event hosted by the nonprofit public knowledge. j >> hi, everyone. welcome back. and for those of you that joined us at the break, thank you for joining us. i'm lisa, a policy director at publiche distinct pleasure of introducing our next speaker, professor. -- professor jeff jarvis. when i reached out to him to make s information to thich mind, shorterys better when it comes to introductions, so i will oblige. jeff is the ofessor of journalism innovation emeritus at the city university new york's craig newmark's school of journalism. he is including the gutenberg parenthesis, the age of print and its lessons for the age of the internet, and magazines which is an amazing bo is literally a history of the magazine industry and they are each o now. and a new one, the web we weave internet from moguls, misanthrope's, and moral panic. that is coming in october and i cannot wait. he is also the two podcasts, this week in google, and ai inside. so that was the introduction he gave me. b

so i think it is important we have models that are quality models that are reliable as they can be andfer on disinformation and biased data. ave to look at what we add. the models are biased because they reflect the biases of so and the power and the privilege of publishing, whi for centuries, rested with people who looked likehite men. so that is why the models do what they do when it comes to i. they do it from that bias. so■" away, what do we add back? what is missing there? so, i think it is a public good to say we need these ways. it is also a public good to have news and information that can be supported. so how do we deal with both of those principles in private enterprises? there have been three strategies so far. one is litigation. one is legislation. one collaboration. on litigation, we see the new york times assuming openai. so is alden global management, which is the most noxious of the hedge funds which owns newspapers in the u.s. through medianews group. that is litigation. i have gone through a lot of what we see happening, and there is more coming that i think is very d

them were fine tuned on the open-source model and one a foundational model.e went through the entire but it using our transparency technology so we can have full lineage whi as a demo. the governing entity for that ess, we created a decentralized autonomous organization policies and everything can be visible. together, so we actually registered it using oure! regulations in the uae through the abu dhabi global market. they have what they call a distributed ledger technology's a great example of what it looks like to actually read -- decentralized technology in a way that fosters innovation. the endowment for climate intelligence is like the governing body, it was important that as we are trying to create a model to solve the climate crisis, needs to be a collaborative solution. we worked with folks across engineers, members of civil society academiarts to come together and figure out what would it look like to train model we not only fine tuned it using high-quality climate data, but we are to provide you with three different views in the interface. instead o

the third model is called the council model or the french model. unlike the other two models, this model does not have the shape of a court. in this model , there is no specialized and limited to check the rules. the request for review of the laws is done with the constitution, not with the public complaint, but with the request of specific government institutions. the guardian council, which was seen in the constitution of the islamic republic of iran, is in the third category that is, the soviet or french model resonates. we knock on the box, he says that he can't wait to stand on his own feet one day. i myself am the son of maddcho . we started our workshop with approximately 50-60 meters. at first, we worked with 5 people. now we are grateful to work on the roof of a 1500-meter workshop. mr. massoud's group has grown from zero to one hundred, now we have increased this force to 60, which is even. his narration is heard in a corner of turkmen port in golestan province. now that he has turned from a worker to an entrepreneur, he has taken many pe

countries, this model has shown that it is possible to stimulate sustainable growth, less subject touations, fluctuations, unlike those countries that are proponents of free markets. of its economic political structure, and this should be the motive throughout the world, we see that we have, our model is an alternative to dollar-based neocolonialism, which wants economies to depend on it and undermines multilateralism by imposing a unilateral world order on our economy. economic involvement of people. we reduced inequality and were able to create a more homogeneous society. thus, the hypothesis is proven that a country can grow faster when income is distributed. more equal. it is true that developing economies are trying to strengthen their domestic market, increase incomes and decline, but what differentiates our bolivian model is that we have been able to become one of the most dynamically developing economies in latin america over the past two decades. we understand that there may be new pathologies, new diseases in the future, at the same time, we are fighting for a healthier soc

say not to ask is the oldest model on this that today? she once worked as an architect, she never dreamed of modeling into where eighty's per secret to looking good. sure, i keep in good shape by taking a cold shower every morning in summer and winter. it really does me good to me of the. and it certainly seems to do my body good thoughts. so that's one thing. and i also eat healthy and have never smoke monique at all. the tanya console of auntie, it has been working as a model for over 30 years now. the provider to towards the job has shifted over time. i think when i started modeling a things jane was ambitious. hawkeye says that if i didn't get a job back then i was disappointed and to put a bit personally gentleman. but now if i'd go to accosting and don't end up landing the job, well then that's okay. help me learn to keep a club head and not get worked. awesome on do you think bonnie, i just wasn't the right time since the trip thought so? even if the appeal of youth may never disappear, our image of beauty is changing to include mo

guest: we are a hybrid model, we believe it's not the business model that is broken, it is the ownership model and we can use philanthropic dollars to create businesses that will have margin for a while. moderator: i'm asking if traditional models like big city newspapers are coming back? >> the for-profit venture newspaper days are over, we can say. >> i'm nostalgic for many things. a day when papers were functional. i'm not sure that they all are or that they can be, maybe i'm being too nostalgic. guest: data is clear on that. american news in the metro that we grew up reading, those are diminished and market conditions do not allow them to come back. >> pour one out for the newspaper business? >> it is the case that the business model is done and we have to shift from for-profit to a nonprofit for low profit business. philadelphia is an example where a nonprofit holds in trust the philadelphia inquirer. i'm going to go west or congo for a second. part of our goal is to make chicago a news oasis and there is real opportunity, great innovation and chicago public media acquired the numbe

that is, a hint that trump loves young models.publish joint photographs about democratic resources. in which pipko and donald trump we are very glad to see our friend. it is known that pipko took part in trump’s presidential race back in 1916, when she was a volunteer and she was only 21 years old. according to elizabeth herself, she sacrificed her modeling career in order to defend her political views. she compares the modeling business to hollywood, saying that there you are only allowed to support democrats, otherwise you are shown the door. she's a bikini model who hates liberal wimps and also happens to be the new republican party spokeswoman. elizabeth. today i want to introduce you to this model who argues that she is taking a huge risk by supporting donald trump. still continues to support. president, but she stopped fearing that politics would ruin her career. at one time, i participated in the 2016 election campaign , i worked on donald trump's team, so my secret is not only that i share the policies of the former presid

but this is true because this model is the route. so when there are regions, i'm not going to what she me of canada is least around when you use of leslie, slowly use the same parameters for every country that are different stages of their development. then the standard scheme standards model is they did not work or before the words that you need to look at the reality of so they can treat even our history, our cal church and the state the society is in. and it is also very important in newtons to be just to look at the real development from lots effectiveness for our society. why we wouldn't work effectively more. it's probably some basic things and we take these things into consideration. it took them maybe 2 or 3 years in the ship to switch to so maybe some things for us to test the kids to make certain steps with it the physically because it, but the only thing decatur is what is a proof of some of the things that and 4.5 for the 1st quarter of these here is also an indicator. it is an outcome of the work that we do. all the gove

those based on real life model of adult role models. so go we noticed that in 2021, women made up only 15.5 percent of workers in the stem sector in germany, which is a real shame. and that's why we at barbie, have made it our mission to show young girls in particular more female role models in this area from africans, countries even as a child, i couldn't get enough of my grandfather, seafaring stories for you. if not, then that when i grew up, i wanted to be on the water. you're being a pirate, wasn't an option. so i asked myself, was plan b. i didn't realize at the time that explorer, as pirates in st. louis was actually always main main knob on the yeah. the, the $51.00 and cause this is our one of a kind barbie which we give to special women as a sign that it's so important to be a role model, especially for young girls on have fun with your little mini mean. of course, the aim is to give young girls great role models, which is 24 that we are giving up at night being involved in the dream that project for quite a while. now in the

and we see to in fact, into the model. and that is actually the 20 to 25000 questions as we are fact checking. and bessie not only do you with our staff, but also the medical professionals and doctors and has professionals have been in the field for 10 years. the nations is an issue that almost across the industry if you're trying to figure out how to do that along with other things like, you know, be by, is gender bias kind of good bias that comes up in the topic. this isn't the was the reason why this gender bias would be does because there's 10 devices back to the basics. how doesn't they? i chip bought, learn to talk to its environment and know what to say. the most important component of chip thoughts is a so called l l m, a lot language model. that's an a i program that can recognize and interprets human language in lots language model is in a program that recognizes and interprets human language. l m. 's, use machine learning to understand how characters, words and sentences worked together. creating neural networks

generation model and applied it here, that is, how does the kandinsky model create your face?, that’s how it is, yes, dear friends, denis dimitrov is our guest in the creative industry podcast on the first channel, the person who created the kandinsky neural network of a wonderful team, and create the main conclusion, even if we don’t have everything, in general, in the end we understood, there’s still nothing to be afraid of, look at how nice, smart people are doing those things that we can be with for some reason we are afraid of you, no need. they are afraid, because this is the competitiveness of our country, and it is in the reliable hands of people like denis. denis, thank you very, very much, we are waiting for the next stage, the antennas are on your head, there will be analog versions, presenters, elena kiper, music video producer and roman karmanov, general director of the presidential fund for cultural initiatives. this was a creative industry podcast on channel one, see you. there are a lot of contradictory personalities and characters in our history, but if i were

so i think it's important that we have models that are quality models that are reliable as they couldsinformation and biasedba. we have to look at what we have. they reflect the biasesfsoc thes people that look like me, old white men. and that's why the model do■ they do when presenting the informatn. do it somewhat bias,r than taking information away, what is missing there. i tublic good to say to say we need this technology to be workable inroud quality and authori. it is also public good to have deal with both of those principles enterprises? 3 strategies so far, one is tion, one is legislation and one is collaboration. we see "the new york times" with ai.3s i've gone a lot to what is is moreg and i think dangerous. two are internet freedoms and the other collaboraon and i see an island of communication, hey, it's norway.leading publisher td all ofg the publishers of norway and had t to reach norwegian llm. they all recogni t needed it. the government said our entire library is digitized because of norway. if you need hel doing that, we will figure out thousand recompanies. at the

it shows that it's what we've already made more than a 100 model. busy one real how it's our costs at least $3000000.00. so we've already saved about $300000000.00 for our army. we've done that sort of these to a stake, how it costs about a $1000.00. the, well, the russian projectile that destroys it, costs $35000.00 the fish. and this is what fascinates us there. we can do something here in civilian life that really helps the army helps, will save the guy on the floor if he across men are working on the model of the soviet era onto the re piece. it's made of plywood 10 sheets and scrap metals. this is the finished product, a common almost 10 meters long. the model has enough detail to be indistinguishable from the real common when seen from a drone. michela is the 2nd generation carpenter. what he wants most is for the products he has worked on to be destroyed as soon as possible. so the other one is that on your, if the russians watch from drones and expedite and it looks like a real one, there will be air strikes, increases more strikes on our fa

the model is way more decentralized today. combination of universities and startups is driving innovation. so we need to be much more external focused than we were before, to continue to stay in the lead. david: what is the most important message you would like to convey to anybody watching here today about the personal computer world? is it that it is a great thing for society and that they should buy more personal computers? and what is the most important thing you want to convey about hp inc.? enrique: about hp, that it is a company that really cares about helping society, that we have a big opportunity to enable our employees to be more productive, to be more engaged, and that we see a lot of opportunities to innovate, to make it happen. and also that it is a company with very strong values and strong principles. the company was founded in 1938. bill and dave, they defined before, all the conversation about sustainability or diversity even existed, they defined the values of the company. they defined that great companies c

models.e to ensure they have quality data underpinning models, meeting human beans to interact. talk about data component. is there a provision of data you are able to work with these models on? concerns about quality of data? gap needs to be close between the quality you provide an what the current models are built upon? >> there's three components -- algorithm, compute, data. data comes from human being. artificial intelligence is not artificial. that comes from us. ultimately, these models are extremely good at reflecting an approximation of the data that is built on. we went these models -- we want these models to reflect the best of humanity, the best of our values and skill sets, so we are building prolific to be a platform where these researchers and builders can access the breadth of humanity. some problems we are addressing is the diversity of people who are training these models, so increasingly, the audience who is labeling or data and providing feedback to your model is increasing

i mean, we don't use her as a model for people with disabilities or, you know, for us, she's a model underwriter, like any other writer in the end, what people get is that she has had a blow in life and has risen up to it. and she has a dream and goes for it. and every morning she gets up with that cool. yeah. ok. think this is a life lesson. i really couldn't compete with those sponsors because i don't have the financial means or the possibilities. so this is a project that benefits all of us. yeah. you know, if they're not here, i might have the best horse and skills, but i can't go and compete with the name. i don't understand why there are more sponsors or just let because if you're a writer, you know how difficult it is in on top of it, you're missing a leg. i think it's amazing. okay. you can see what she achieves is really spectacular. and one time because he's here right, and she's much better than a writer with 2 legs and arms. florida hits to the hotel to take a break and review the exercise one last time. anyone on a physical level for me it's complicated because there's a

the model become indistinguishable from extra human. we tend to be very trusting of computers decision, even if they contradict own believes that's according to research from as fairly as 1999 and more recent studies suggest the same checkbooks already convincing. but if they speak to us like a human being what they might be even more so that could be a problem because a, i can like it can invent effects. it believes to be true. this is called lucy nation test. so that a i playing poco a video games have learned to bluff to produce of favorable outcome. please systems are known to be 9 or to making up things. and if something is very convincing septic and making things up, just by my natural behavior, i'm way more inclined to believe it. then if it was dry objective text or, or reasoning, that can be much easier to assess sort of nonsense or not. i don't know about you, but in a i chip bought deliberately lying seems pretty scary. it could trick us into giving away personal data like credit card details. and even if that doesn't happen

florida works as a model and photo shoots responses. at the same time, she has a role model for inclusion and diversity. if it wasn't for these collaborations, i couldn't do what i'm doing because i can't afford it. practically all the material i have is sponsored and i tried to help them in my own way, was by letting them use my image and doing photo sessions. and those concerning the photo. and she's very brave to do many. i realize that photography helps me a lot, but it will do you like it? because initially i didn't like it, it scared me and i was very ashamed of my body. and so, but it made me see that there are many types of beauty and i feel pretty, and the photos the photos are always well received. and there are many people who write to me. so they tell me they'd like to do it to whatever embarrassed another way or they tell me it's helping us to see it. it's better to be visible rather than stay hidden at home with the attendance across. i can be the thing. i have a place in the society and emission and i think it's a very ni

, we cannot... put into the model, if it is not ours, then what we could lay it down, if it were oursks, 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 the model a lot of our data, this only applies to the domestic cultural code, this applies to any types of data that we want to show to the model, and for this, of course, we need to do our own developments. hello, this is news from the first, maria vasilyeva studio and at the beginning of the issue, briefly about the main topics. another western trophy in the northern military district zone, telegram channels distributed a video showing an american-made abram tank knocked out by our soldiers. tons of deadly metal. every day our crews send drones to the enemy.

i will stop a bit of model. what is the model solving to sort of down from the ship, what color funds you thought i had kind of this and this one with this. yeah. hi ma'am. and with the, with the, with the little above in here, the issue of the hospital or not on has the eyes. and this just shows me the in the role as that goes in a bit cold, our april. and then oh, i know good why y'all have high shut down and stuff on the level of i love the most . it has, you know, how do you live? and then that don't it's, it has a nice talking to me. so we have the video and my god on our auto renewal and to have them come out to the sawdust. that's cool. saw what's the or not the next door. in fact, julie, what's my interest to me on the job? i attended the via the upcoming my why do i need to see? what do i have to get to which i said, my eyes are bad and that's what i'm saying. yeah. it should fit enough in the other agents. whenever i don't know if someone is involved, i don't know of the knob. so it was clear and that'