Conference "Journey to the World of Artificial Intelligence"
The International Conference on Artificial Intelligence and Machine Learning Intelligence Journey 2023 on the topic "The Generative AI Revolution: New opportunities."
Russia’s eighth conference on AI had already become a global event several years ago and is now widely participated in. Every year, there’s a large exhibition of everything AI, which the Kremlin readout describes thusly:
Head of State inspected the demonstration stands, telling about the possibilities and the prospects of generative artificial intelligence. Created With its help, technologies allow you to process and generate Various content: texts, images, music, as well as analyze them.
Putin’s been very high on AI and other abilities of Russia’s scientists and admits he’s needed to learn new tricks in order to better craft policy and developmental direction. The head of Sberbank German Gref is the emcee whose institution’s been involved with AI development along with many other of Russia’s National Projects. As with President Putin, most business executives have also needed to learn AI’s new tricks, and that’s one of the conference’s raison d’etre—to provide a very large, informal series of classrooms. More is explained—in English—at the conference website. Readers should be getting familiar with the plenary session formats of these conferences: Emcee speaks then introduces Putin; Putin voices his remarks and then a Q&A ensues or other remarks are made by other participants that at times become a discussion. This conference is no different. You’ll note that Russia’s AI development is a top→down effort similar to other scientific projects related to National Security while there’s significant room for input and policy suggestions, which IMO is a signature aspect of Putin’s governance. But enough from me; here’s the session:
Gref: Good afternoon, dear friends!
I would like to welcome all the guests of our discussion and distinguished speakers of AI Journey, or "Journey to the world of Artificial Intelligence". This is our eighth conference in a row. This conference is attended by international guests from more than ten countries. We already have virtual participants, online participants, and more than 100 million people from 150 countries around the world. And every year our conference becomes more and more popular, and the number of participants, the number of views of our conference and the number of countries is constantly growing, no matter what.
Dear friends, today we have with us in this hall experts, leaders in various fields of application and development of artificial intelligence. We're going to talk about big language models and generative artificial intelligence, and we've decided that this year there is a reason to do so. Fortunately, the events of the past year have given us a great opportunity to put this issue at the center of our discussion.
We want to discuss what generative artificial intelligence, based on large language models, can give to humanity, how it will expand human capabilities and abilities.
Our esteemed partners – artificial intelligence development companies, members of the Alliance for Artificial Intelligence-are also present in this hall. I would like to thank all those present for their active work in preparing this conference.
Of course, I want to say a big thank you to Maxim Stanislavovich Oreshkin, who put a lot of effort into this, Dmitry Nikolaevich Chernyshenko, the Ministry of Digital Development, the Ministry of Economic Development and the entire Government for creating first of all conditions and opportunities for a fairly rapid development of artificial intelligence technologies in our country. This is critical.
And I would like to say a big thank you, Mr President, for taking the time, as always, to take part in our conference. I want to give you the floor.
Vladimir Putin: Dear German Oskarovich, Dear friends!
I am glad to welcome the participants of the international conference "Journey to the world of artificial Intelligence", everyone who is present in this hall or watching our meeting online-scientists, engineers, programmers, students and schoolchildren from Russia and more than 150 countries around the world. The audience is huge, colossal.
Before I begin, I would like to thank Sber, the Alliance for Artificial Intelligence, the Russian Academy of Sciences, the teams of industry ministries, regional heads, and, of course, representatives of the scientific and business community for their joint work.
In many ways, here, at this site, we have formulated a system program in the field of artificial intelligence together, and our joint efforts are already yielding certain results. Thus, in recent years, the Russian economic and social sectors have expanded the use of artificial intelligence solutions by one and a half times.
I will give you a concrete example, as they say, from real life, from the real sector – the fuel and energy sector. Using artificial intelligence technologies, Gazprom Neft has managed to significantly reduce the cost of well development, solve complex problems of safe logistics along the Northern Sea Route and a number of other tasks.
Investments in high-tech businesses in the field of artificial intelligence in general are growing. And here the Russian Direct Investment Fund actively attracts co-investors, invests its own funds in domestic development companies, helps them develop global cooperation, enter foreign markets, including, and today in particular, the markets of Asia and the Middle East.
But the integral measurement of effort is not just about business metrics, but also about people's growing confidence in a new end-to-end, universal, and essentially revolutionary technology. Just now, Herman Oskarovich and I were talking: of course, with the introduction of artificial intelligence in science, in education, in healthcare – and in all areas of our life, humanity is starting a new chapter of its existence. This, in my opinion, is a completely obvious thing. And thank God, citizens see how artificial intelligence makes many everyday processes simpler and more convenient, improves the quality of management, mechanisms for providing public services, and is increasingly used in organizations, enterprises, and regional work.
I would like to sincerely congratulate the winners of the Leaders of Artificial Intelligence Award on our platform. And these are young scientists and entire regions, as I have already said, who offer breakthrough solutions in the field of artificial intelligence and set ambitious benchmarks for moving forward. I can't resist calling out the names of the winners. I know that this has already happened in the media, however: Alexander Korotin, Alexander Beznosikov, Valentin Khrulkov. And among the regions are Tatarstan, Bashkortostan, Lipetsk Region, Sakhalin Region and Khanty-Mansi Autonomous Okrug-Yugra.
So far, there are few regions that invest so vigorously in the development of using all the capabilities of artificial intelligence. I hope that we will work more actively in this area. When I say "we", I mean not only the Government, but also regions and industries, individual enterprises.
Dear colleagues!
Now I would like to tell you how the Government intends to conduct further work, in general, the country's leadership, the Government, the Administration, how we intend to develop domestic science, adjust legislation, expand international cooperation, and first of all in relation to the practical topic that is the main one at this conference.
I know that you are discussing a complex but very promising issue – the future of the so-called big language models, the further development of generative artificial intelligence. Now only young scientists and practitioners who work at the Sber site have talked about this. For non-specialists, which, by the way, include myself, but since I had to dive into certain areas of activity in the field of artificial intelligence, I can only add that these are systems that allow you to create images and texts. Just now, I will say it again, and my colleagues have described it in detail using examples.
Such directions were outlined just a few years ago. But in just a year that has passed since our last meeting, they began to dominate and reveal themselves. Experts call the ongoing processes a revolution, a technological shift, a cardinal breakthrough in the development of artificial intelligence. I have already said that this is a new page in the development of mankind.
Today we are dealing with developments that have colossal computing capabilities, a more advanced software architecture, and are trained on all the information and knowledge currently available on the global and throughout the global Internet.
The widespread use of such technologies has already become a daily reality. And frankly, not everything is perfect yet, but the models are constantly being improved, performing both applied and creative tasks. Generative artificial intelligence – as we have just described-writes software code, forms drawings of parts and gradually begins to be used in the design of structures and buildings, reduces the time to find the best molecules for creating medicines, creates films, music and poems. And these, I emphasize, are only certain areas where the machine is equal in its abilities, and in some cases already exceeds the capabilities of a person.
In fact, algorithms and models of generative artificial intelligence are no longer primitive performers of our commands. New-generation technologies are actually becoming partners, partners of people in a variety of fields, in a variety of areas. For businesses and states today, this is the most important, key resource to become super-efficient, and it will not hurt us.
So, using generative artificial intelligence, companies and enterprises can create products and services with special, unique characteristics at the request of a specific consumer. Of course, such breakthrough solutions open the way to the creation of a whole range of new business models, based on platform solutions, they help to reduce losses, implement lean manufacturing principles, and significantly increase labor productivity.
As for the sphere of public administration, generative artificial intelligence technologies make it possible to fully switch to management and automate even more administrative procedures based on data. To speed up the decision-making processes as much as possible, just at times, and to make verified decisions based on big data, which means that we can radically improve and change the appearance of many areas that directly concern every citizen. This is primarily the urban environment, public transport, public service systems, ecology, education and health.
I will also touch on the social aspects of implementing breakthrough solutions, but I would like to note right away: artificial intelligence will not replace a medical worker or teacher, but it can serve as their loyal, effective assistant, provide teachers with more time to raise children, help doctors prevent and detect diseases at an early stage, and be used for remote monitoring of people's health.
I would like to emphasize that for a citizen, the daily implementation of the advanced generation of artificial intelligence is a modern human – centered social sphere, a new quality of life and new opportunities for professional activity. In fact, a person can delegate many routine functions to the machine in everyday life, in production, in management, and even in the creative industries. And, on the contrary, take on the most difficult tasks. This means that low-skilled jobs should be replaced by modern jobs that require serious knowledge, skills, and competencies, and therefore a higher level of remuneration for specialists.
In this sense, I would like to emphasize that automation and the widespread introduction of artificial intelligence technologies are not only a resource for strengthening our scientific, educational, technological and production potential. This is also one of the most important conditions for the rapid growth of citizens ' incomes, the formation of a high-wage economy in Russia, and the improvement of people's quality of life as the main goal of our development.
Now, in the first part of our event, our colleagues were talking about what is happening in the field of artificial intelligence and offered to ask a question, we hesitated a little with German Oskarovich, ask the machine a question. The simplest question on today's agenda is: how can we make our country more efficient and all people happier? This is a question for artificial intelligence.
This is a broad question, but in order to achieve all this, a presidential decree will be signed as one of the first steps in the very near future and a new version of the National Strategy for the Development of Artificial Intelligence will be approved. Given the rapid growth of technology, a number of significant changes will be made to this document, and goals and objectives will be specified. First of all, we are talking about expanding fundamental and applied research in the field of generative artificial intelligence and large language models.
I will mention here a number of specific solutions and suggestions.
First. I ask the Government, the Alliance, and the Russian Academy of Sciences to propose a mechanism that will provide domestic scientists with access to existing and emerging supercomputers in Russia. Special benefits for using the computing infrastructure should be granted to postgraduates, students, and schoolchildren who are already engaged in scientific and practical activities in the field of artificial intelligence.
Second. I would like to draw the attention of the Government and Alliance companies: the current capacity of Russian supercomputers should, of course, be increased by at least an order of magnitude. This is critical for the further development of generative artificial intelligence.
The third. It is necessary to significantly expand the training of personnel, the strongest scientists-developers. This task should be set before the leader of the first ranking of universities in terms of the quality of training specialists in the field of artificial intelligence – the Higher School of Economics, MIPT, ITMO, Moscow and St. Petersburg State Universities, as well as Skoltech.
I suggest that universities with a high rating of the Alliance expand their master's and postgraduate programs for training personnel in the development of artificial intelligence technologies by September 1, 2024, and additionally increase the admission of students to basic programs in the field of artificial intelligence at the expense of the federal budget.
Fourth. We are ready to think about changing the structure of science funding and allocate additional funds for research and development in the field of generative artificial intelligence and large language models. Provided that our leading companies undertake to co-finance such work and provide testing of relevant technologies. And most importantly – based on the results obtained, create breakthrough products that are competitive in comparison with the world's leading models.
I would like to note that Russia is now one of the few countries, by the way, that has its own generative artificial intelligence technologies and large language models. These are the developments of Sberbank, just now we were also talking about this-GigaChat and Kandinsky, as well as Yandex-these are YandexGPT and Masterwork.
We need to strengthen our competitive advantage, create new markets and a whole constellation of products and services based on such technologies. First of all, doctors, teachers, construction workers, agronomists, employees of industry, transport, public administration and many other spheres can use the most advanced technologies to improve their efficiency.
In this regard, I suggest that we think about developing large industry models based on generative artificial intelligence, and suggest mechanisms for their practical implementation in order to significantly increase labor productivity, and therefore wages in key areas of the domestic economy.
To speed up this process, I ask the Government, together with the Alliance, to create a special educational program on the theory, practice of developing and applying artificial intelligence, with a special focus on large language and generative models. Students of such a program should be heads of major companies, federal and regional authorities, universities and secondary vocational education systems. We need to implement these tools in the broadest possible way, and training should begin in the first quarter of 2024.
At the same time, as part of the preparation of a five-year forecast of personnel needs with the participation of business, of course, I ask you to carefully analyze where, in which industries, the requirements for existing specialties will change in the short term and new professions, skills, and new competencies will be required. On this basis, the education system should be given specific tasks to change the program of career guidance and training of specialists.
Life is changing dramatically, and we need to stay ahead of these changes, and, of course, we need to set up the entire system to support development, implement large language models and solutions in the field of generative artificial intelligence, and create an infrastructure for their widespread use. I ask that all these issues be reflected in the national project on building a data economy that is currently being prepared.
Dear friends, the new generation of artificial intelligence is an outstanding achievement of the human mind. But at the same time, we are still thinking, not that we are still thinking, but we should be thinking about how a person will feel among machines – machines in the broad sense of the word. Where are the limits of artificial intelligence development? Such ethical, moral, and social issues cause serious disputes in our country and around the world. There are even suggestions to put on pause further work in the field of generative and even more so the so-called strong artificial intelligence, which, according to forecasts, will have super-powerful cognitive abilities. As my colleagues have already said: you can smell smells, feel a sense of belonging to something-such feelings that only a person seems to have, are already beginning to appear there.
But nevertheless, I am convinced that the future is not behind the prohibitions of technology development, it is simply impossible. You can't ban it, it will still develop. If we ban something, it will develop in another place, and we will only lag behind, that's all. And so everyone who has the opportunity to develop artificial intelligence thinks.
But, of course, it is necessary to ensure the safety and reasonableness of the creation and use of such technologies. And the support here should be, first and foremost, traditional culture. It is the most natural ethical regulator of technological progress, as well as the ideals of kindness and respect for man that Tolstoy, Dostoevsky, Chekhov, and such outstanding science fiction writers as Belyaev and Efremov wrote about. By the way, it is also possible for artificial intelligence to set tasks in this area, as artificial intelligence should limit its scope of activity so as not to go beyond some framework that will harm a person.
For many generations of scientists, the works of our outstanding writers were the moral reference point that allowed our country to achieve scientific triumphs and use these achievements for the benefit of people. This includes the peaceful atom, where our country is still the undisputed and obvious leader.
What do I want to highlight? In the era of the technological revolution, it is cultural and spiritual heritage that is the key factor in preserving national identity, and therefore the diversity of our world, and the stability of international relations.
But what facts are we already facing? Now this is happening in practice. I think you are well aware that some, so to speak, Western search engines, like generative models, often work very selectively, biased, do not take into account, and sometimes simply ignore and cancel the Russian, say, culture. Simply put, the machine is assigned some creative task, and it solves it using only an English-language data set, the one that is convenient and profitable for the system developers. Thus, the algorithm, for example, can indicate to the machine that Russia, our culture, science, music, and literature simply do not exist. A kind of "cancellation" in the digital space. And then they can do the same with other cultures and other civilizations, pushing themselves out, emphasizing their exclusivity in this space. Such a xenophobe can turn out from artificial intelligence created according to some Western standards and patterns.
I repeat, many modern systems trained on Western data are designed for the Western market, and in the full sense of the word they reflect that part of Western ethics, those norms of behavior, state policy, to which we object. Of course, the monopoly dominance of such foreign developments in Russia is unacceptable, dangerous and unacceptable. Our domestic models of artificial intelligence should reflect all the richness and diversity of world culture, heritage, knowledge, and wisdom of all civilizations. This will only make us richer and more competitive. And of course, our traditional values, the richness and beauty of the Russian language and the languages of other peoples of Russia should be the basis of our developments.
It is necessary to use Russian solutions in the field of creating reliable, transparent and safe artificial intelligence systems for humans, as well as involve specialists in humanities in the overall work. In this regard, I would like to mention a joint project of the institutes of the Russian Academy of Sciences and Yandex, which created a colossal collection of texts – the National Corpus of the Russian Language.
I also consider it necessary that government agencies at all levels, libraries and archives help create data sets for machine learning, providing them promptly and free of charge. I strongly ask my colleagues from the Government to think through the appropriate mechanism for this work.
Dear friends!
We will continue to strive to ensure that Russia becomes one of the most comfortable jurisdictions in the world for the development of artificial intelligence, for the bold search for solutions that everyone needs here. At the same time, of course, any threats to citizens for the preservation of personal data should be minimized. We talk about it all the time.
Therefore, on my instructions, the Government has prepared amendments to the law on experimental legal regimes in the field of digital innovations. Installing such a mechanism will now be much easier, in any case, I hope that it will be much easier and almost twice as fast. Many unnecessary bureaucratic requirements are removed. But at the same time, liability is established for causing harm to health, life or property as a result of testing the use of breakthrough technologies.
I think this approach is absolutely balanced and I ask the Government to submit the prepared package of amendments to the State Duma as soon as possible, and I ask the deputies to adopt this document as quickly as possible so that the decisions come into force next year, 2024.
At the same time, along with legislative decisions, the voluntary consent of market participants around the key rules of the game when creating breakthrough technologies is of great importance. When we talked about the need to create an Alliance at our previous meetings, it turned out that this is very correct and in demand, and our colleagues are working effectively in this regard. I would like to mention here the special role of the National Code of Ethics in the field of artificial Intelligence. It was signed by both domestic companies and organizations, as well as participants from 16 countries of the world. I think it would be appropriate to supplement this document with a declaration on responsible development of large language and generative models.
The Russian experience can also be used in the formation of international ethical standards in the field of artificial intelligence, to achieve precisely balanced and reasonable regulation that will be used in the interests of all, and not individual countries. I suggest that we discuss these issues in detail during Russia's BRICS presidency next year. As the organizers of this work within the mentioned organization, we can certainly do this. I am sure that our colleagues will support us, and we should definitely return to this topic at the next Sber AI conference. Make it a full-fledged platform for regular discussion of the international agenda in the field of artificial intelligence, discuss the ethical aspects of its application at a special international forum, which will now be held on a regular basis in our country.
Russia is ready to share its experience, and I want to stress this again. I know that Sber, our scientific organizations and universities are actively developing cooperation with other countries. So, the system of diagnostics, for example, typhoons, and it was created jointly with the Russian Academy of Sciences at the Far Eastern Federal University, has already been translated into several languages of the world.
I will also add that we plan to create a code repository for the domestic platform and services that are needed for interaction between domestic and foreign programmers.
I suggest that we also think about the access of our partners from friendly countries to Russian large language and generative models. I am deeply convinced that the technological world of the future should be multipolar, and we should build it together on the basis of trust and mutually beneficial cooperation. That's what we intend to do.
Dear friends!
More than once during my speech, I spoke about the huge potential of a new generation of technologies. And the point of all our work, the main dimension of technological progress, is that these solutions serve people.
Thank you so much for your attention.
German Oskarovich promised that the participants of our meeting would tell us more about their developments. And if there are any problems in organizing this work, I will be happy to listen. Our colleagues from the Government are present here, and I see that they are ministers of the Government of the Russian Federation. We will be happy to respond to your requests.
Thank you.
Gref: Thank you very much, Mr President.
I want to say that you said in your speech that it is necessary to use artificial intelligence in order to limit artificial intelligence. You are absolutely right, because the latest trend is related to the fact that newer, more modern and advanced models develop a function that allows you to set such tasks and solve them.
In particular, one of the big problems is the problem of trusted artificial intelligence, which you mentioned when it doesn't have any datasets, or suddenly some data that is transmitted is incomplete or withdrawn. In this case, a more modern model points out these flaws and tells you how to solve them.
The same story concerns the explanation, disclosure of the" black box " of artificial intelligence – how artificial intelligence made certain decisions. So far, a person cannot get to the bottom of the entire mechanism that operates inside this "black box", but for this purpose they use more recent models in order to try to explain what principles of decision-making underlie certain conclusions.
Vladimir Putin: You know, it occurred to me right during my speech. But now one more thought, it is obvious, there is nothing complicated here. Mankind has developed certain rules related to the use of nuclear technologies, including in the military field, non-proliferation, and has come up with rules for the non-proliferation of carriers of nuclear technologies themselves. Humanity was able to work this out, which means that in the field of artificial intelligence, we can easily reach common solutions that are acceptable to everyone and necessary for everyone.
Gref: You are absolutely right. It seems to me that it is in the interests of all people, of all humanity, to approach this development process very responsibly, so that this process is fully controlled by people.
Vladimir Putin: Do you know when this will be possible? When everyone feels threatened. This is not a joke. When they feel a threat in uncontrolled distribution, in uncontrolled work in this area, then immediately there will be a desire to negotiate. Of course, if we can reach an agreement without understanding what can be used in relation to other countries, it would be best. If only awareness of common threats led to a desire to negotiate.
Gref: Mr President, allow us to move on from here.
The only thing I wanted to say is that here all the walls in this hall are also designed by order of artists in collaboration with the Kandinsky neural network. This is how she designed our hall today.
Indeed, what you said is absolutely true, everything is happening at such a rate that we are constantly making mistakes in our forecasts. We believe that some processes will take much longer, but technologies are developing faster and faster. We see that everything will change very much in the next five years. Humanity and every person will have at their disposal a personal assistant, which in its abilities will exceed all the technologies that have existed so far. Our task, of course, is to equip people with the necessary knowledge and skills in order to extract the maximum benefit for themselves and put this unprecedented technology in the history of mankind at the service of humanity itself.
Of course, artificial intelligence, as you said, Vladimir Vladimirovich, allows us to be more efficient and stronger. It gives a person superpowers. It will be an assistant to a person both in office work and in heavy industries. It will equip both doctors, teachers, management workers, and people in everyday life. It will save you from routine work and tell you very complex processes, how to behave correctly in a particular situation, for example, how to properly take care of your health.
Today, all experts name three areas in which artificial intelligence will give the biggest breakthroughs. This is primarily healthcare and human health, the second is education, and the third is the construction of fundamentally new management systems. Today we would like to discuss with our speakers just these three areas: education, healthcare and the introduction of artificial intelligence in management and in public administration, in particular.
First, let's see how artificial intelligence will change medicine. Obviously, we will have two assistants in the very next few years. The first assistant is a person's assistant who can monitor their health in real time and tell them how to pass an examination on time, see a doctor, or how to properly monitor their health and observe their sleep regime, and so on. The same assistant will appear at the doctor, who will also help him get away from the routine. Today, together with the Ministry of Health, we specifically measured the amount of time a doctor and medical staff spend on this paper routine while working on the strategy. It turns out that from 40 to 50 percent of the time, and, of course, we should free up this time and allow the doctor to devote all the time to mental activity and devote all the time to his patient.
Before moving on to the next speaker, I would like to show you a short video that we shot in just a few days based on an incident that happened in real life a few weeks ago in one of the small Siberian towns. This story is a good evidence of how caring people, the professionalism of doctors, plus artificial intelligence help save people's lives.
Please turn on the video clip.
(A video clip is shown.)
I would like to ask Andrey Tyazhelnikov, MD, Chief Physician of Polyclinic No. 220 in Moscow, to speak on the topic of medicine. You are welcome.
Alexey Tyazhelnikov: Good afternoon, dear Vladimir Vladimirovich!
Herman Oskarovich! Dear conference participants,
Indeed, medicine is the area where you can expect the greatest results using artificial intelligence. But in order for this to be possible, there is one thing that is absolutely necessary. What is necessary? This is data. And where do we get the data from? There must be an appropriate infrastructure.
Such an infrastructure exists today. This is a Moscow-based digital healthcare platform. These are digital clinics, digital hospitals, and a huge volume of electronic medical records. This amount of information is already partially analyzed with the help of artificial intelligence technologies, and today we understand that artificial intelligence is not the future for us, it is a reality.
At the same time, we can distinguish several levels of maturity of artificial intelligence in healthcare. The first is what has already happened, the second is the level that is happening and being implemented, and the third is what will happen.
The first level, of course, is computer vision. This is everything related to diagnostics, these are the things that are implemented in medical radiology. The technology allows you to see things that the human eye sometimes simply cannot distinguish. These technologies began and were actively promoted during the pandemic, and now we have received multiple developments. For example, we can transfer the data after a mammographic examination to the patient within five minutes after it is performed.
This raises the question: is this happening only in Moscow? Of course not. Thanks to the Ministry of Health, this is being broadcast to the regions, and artificial intelligence technologies are already being used in 80 regions. Every day, more than 5 million electronic medical documents are generated in the country, and this is exactly the data that can be used for further training, for further scientific study. And this is very important.
In addition, of course, this would not be possible without a ready-made and digital healthcare infrastructure in the regions. And here I must say that we definitely need to continue to develop these processes. Now, in addition, forms of payment for medical care in the compulsory health insurance system are being introduced after conducting research, for example, mammography, using artificial intelligence technology.
The second level is, of course, medical decision support systems. This is what is being implemented now, this is what is being investigated, studied, this is the support of the doctor when making a preliminary diagnosis. In Moscow, more than 12 million diagnoses have already been made in this way.
Now the technology is being researched and implemented, when decisions are supported when making a final diagnosis. Today, the system allows you to work with 95 diagnoses, and in the near future there will be more than 350 of them, and these are not just numbers, these are real things, vital things.
Well, a simple example. A 36-year-old patient came to our clinic with complaints of pain behind the sternum and heart failure. The doctor, examining her, did reveal rhythm disorders, but artificial intelligence helped, after analyzing all the data, to diagnose hypothyroidism, and thus the time for making a diagnosis was reduced. We did conduct a study, confirmed this diagnosis, and prescribed treatment. And this is a specific situation where artificial intelligence helped in the treatment of a patient and, in fact, saved a person's life.
And, of course, the third, what is happening now, the third level, about what you have already said, German Oskarovich, is digital assistants. And as a doctor, I want to confirm that this is absolutely necessary. These are digital assistants of the doctor, this is getting rid of routine functions. In addition, if you analyze not only medical data, but also a person's lifestyle, social factors, then you can form a large preventive strategy and prevent the development of serious diseases, heart attack, stroke, and others.
Well, for the patient, this is, of course, an assistant as familiar as a banking application, when the system helps you, prompts you, shows you the correct digital trajectory based on medical data, and tells you the rules of lifestyle, nutrition, diet, sleep and wake mode based on all other data. And this is really very, very important.
We can say with confidence that these technologies need to be developed, invested in science related to artificial intelligence.
I have a dream that every person in our country will have access to the most advanced medical technologies, and of course, be healthy, which I also wish you.
Vladimir Putin: Thank you.
Gref: Thank you very much, Andrey.
Indeed, we are also discussing this issue a lot with the Government. You know, Mr Putin, what drives us, especially in the field of healthcare, is the transition from a patient – centric model to a person-centric one. And only artificial intelligence can enable this transition.
What is the essence of this transition? In the patient-centered model, the healthcare system tries to quickly and efficiently provide a service to a patient, a person who is already ill. And in the human-centered model, the main indicator of effectiveness is how to make sure that a person does not become a hospital patient, so that they maintain their health. It really opens up a whole new ocean of possibilities, but this can only be done with the help of artificial intelligence.
Of course, the entire government team, both in Moscow and in the regions, is very much on fire with this idea. If this could be done, it would really extend people's lives and improve their quality of life.
Let me move on to the second topic. Quality education is the strategic foundation of any state. As we can see from international examples, today more and more general education systems are beginning to actively use artificial intelligence systems.
Let me just digress: China became the first country this year to introduce artificial intelligence as a compulsory subject from the 1st to the 10th grade from September 1. They have published a whole series of textbooks, which we have translated into Russian and are currently studying. Of course, I think this is a good example of how to train a new generation.
I would like to give the floor to our new speaker, Natalia Troyanovskaya, who is our guest from Nizhny Novgorod. Natalia is the deputy director of school No. 186 in Nizhny Novgorod, and she continues to be a math teacher.
Natalia, please.
Natalia Troyanovskaya: Good afternoon, Mr President! Herman Oskarovich! Good afternoon, dear participants of the conference!
I am a deputy director and teacher of mathematics at the Nizhny Novgorod Author's Academic School. We are an ordinary general education school that implements federal educational programs. I sometimes find it hard to believe myself, but I've been working in education for over 20 years. At our school, we try to make sure that every student finds their vocation and reveals their talent. But it is sometimes very difficult to pay enough attention to all students.
Please raise your hands if you have two or more children.
And now those who believe that they have the same interests, hobbies, and thinking.
I agree with you. As a mother of three sons, I can say that every child is unique.
Throughout my professional career, I have always been concerned with the question: how to teach a class with 30 or more students, where some are more successful and need to move forward, and others need significant practice to keep up? How can I take into account the interests of each child? What if it's better for one person to see once than hear a hundred times, and the other person needs to do something himself? Or another situation: one can't sit still, and the other prefers not to be asked in class yet.
The problem of personalization of education attracts teachers all over the world, we dream about it. Even now, with the help of a digital educational platform, we can track students ' learning activity and identify tasks that cause the greatest difficulty or even stupor, and take all this into account when designing a lesson. Previously, it took me an hour to prepare for a lesson. I had to analyze the work, determine the list of difficulties, draw up a system of exercises, a lesson plan. Now, with the help of data analyzed by artificial intelligence, I do this much faster.
The second problem is motivation. I see that the children themselves have changed, they are different. Every time my students wonder why the math class ends so quickly, they even wanted to write a letter to the minister about extending the lesson. The power of motivation? I think so. We are confident that with the help of artificial intelligence, we can not only train more effectively, but also form motivation. How? In practice, we teachers are already using the following solutions. Here are three different examples.
In math classes, the adaptive model that we tested helped us understand the problem of unstable results when solving problems with a rectangular parallelepiped. Diagnostics showed that in general, students have formed visual representations, but there are difficulties with translating units of measurement. Of course, all this affects the results. At the same time, we noticed that in general, students are able to apply volume properties, although they make computational errors.
Or another example. The neural network analysis of texts allows my colleagues to study artificial intelligence in literature classes right now and discuss the conclusions that it makes: deep, and sometimes erroneous. It is very interesting to compare the conclusions of artificial intelligence with classical critics and build a kind of neural network. Of course, this motivates students to build a neural network training plan.
Or in computer science lessons, our tenth-grader Vladislav has now created his own neural network, which converts the audio recording of the lesson into a short summary.
And one more problem, the third one that we see. This is the workload of teachers and students. The teacher's workload is more than 46 hours, and teaching is only half of it. And if you take the young teachers I've been monitoring this year, their workload increases by another third. Let's look at the student workload.
When I was in the 10th grade, I had 10 subjects, now my son has 16 of them. At the same time, extracurricular activities are mandatory, which amount to up to 10 hours per week. In other words, the total student workload has increased many times.
At the same time, you still need to develop skills of the XXI century, for example, soft and digital. I'll give you an example of how we do this. Students are asked to generate an image based on the lesson topic. When working in pairs with a classmate, they develop the ability to work in a team. And discussing possible variations of this image contributes to the development of creative thinking. How can I make sure that the load is optimal, and the content corresponds to the time calls? The situation immediately appears. The teacher is alone in the class. You need to help them build a trajectory and define a new content task. Obviously, it is simply impossible to pay attention to all students in 40 minutes. We need assistants-digital assistants, and artificial intelligence will help us here.
One more problem, the last one for today. A friend of mine works in a village school and combines teaching different subjects: OBZH, physical education, technology. Or another example. There are small schools in the region where students of different ages are taught by the same teacher. The problem of access to quality education is obvious. A platform solution, in our opinion, would help to provide high-quality education to students, regardless of their geographical location.
Of course, artificial intelligence will help in the future not only to solve routine tasks, but also to create content that will take into account intersubject connections and have an application focus. Personalization, soft skills, and experience in using artificial intelligence will become an integral part of the teacher's and student's lives.
I also have a dream. My dream is for education to be personalized, for students to learn with pleasure, for teachers to work with pleasure, and for every student in our country to be able to get an affordable education, regardless of where they live or study. This will contribute to a breakthrough in education and affect the development of the entire country.
Vladimir Putin: Does the governor help you? How?
N. Troyanovskaya: It helps, of course.
Vladimir Putin: What you say, what you do, it is clear that there is help. But what else would you like?
Natalia Troyanovskaya: Gleb Sergeevich supports us very well. We hope that this will continue. All our efforts to test promising projects will continue.
Vladimir Putin: In practical terms, how is it organized? How do the opportunities you just mentioned reach you?
Natalia Troyanovskaya: He is very interested in innovative projects and tries to support teachers.
Vladimir Putin: I see. But who is directly implementing all this that you have just described?
N. Troyanovskaya: From schools?
Vladimir Putin: Yes, yes. Who does this?
G. Gref: We will now give the floor to the developer.
Natalia Troyanovskaya: Since 2019, our school and Dzerzhinsk School No. 27 have been actively working on these issues in the Nizhny Novgorod Region.
Vladimir Putin: I see. Thank you very much, very interesting. Good luck to you.
Who is the developer?
Gref: Mr President, our next speaker is a developer. Mr Putin, in fact, huge strides have been made over the past year. A lot has been done with the Ministry of Education and Science in terms of involving universities and working together to develop new models and algorithms for artificial intelligence, and we are doing a lot with the Ministry of Education in terms of developing a platform for schools.
I want to give the floor to the developer of such a platform. This is Vladislav Kozhemyakin. He is the head of the Sberklass platform, where Natalia works. As a matter of fact, in recent years, the guys have made good progress in introducing artificial intelligence into it, among other things.
Vladimir Kozhemyakin: Mr President, Herman Oskarovich! Hello!
My name is Vladislav Kozhemyakin. As Herman Oskarovich said, I am responsible for the digital educational platform Sberklass.
Natalia's example really resonates with me, because we know from communicating with students and teachers that there is a very high demand for an individual approach, for helping teachers with their routine.
If you look through the eyes of a student, then when there is, for example, one teacher and 30 children in a class, it is very difficult to pay enough attention to everyone. This is where artificial intelligence technologies come to the rescue: they analyze data about children's skills, interests, and predispositions and create an educational experience that increases students ' efficiency and interest. So, according to many studies, artificial intelligence with personalization can increase the effectiveness of learning by an average of 30 percent, while increasing student engagement and reducing their stress and anxiety.
If you look through the eyes of teachers, we know that now in modern times, teachers are very overloaded with a large number of activities and routines. Artificial intelligence also helps here, because it can help you automate checking homework, preparing control tasks, generating tasks, and analyzing various reports.
We know that in our experience, according to our colleagues from the industry, when teachers start working with artificial intelligence for the first time, first of all, there is an emotion of wariness and skepticism. But once they get the hang of it, they don't want to go back to their usual way of learning. Natalia's example is very revealing.
Therefore, my dream is to make sure that students enjoy learning, it was such an exciting journey, so that learning motivated them to develop, and there was no sense of such a heavy obligation. So that every child in our country has the opportunity for an individual approach, regardless of the conditions, and teachers have the opportunity to devote more time to children and their education.
Thank you.
Grigory Gref: Mr President, we have also discussed this topic here together with the Ministry of Education, and we say that our dream is to get children out of social networks (TikTok, etc.) and make the learning process so exciting that they spend their time on useful skills, and not on spending time where they can't afford to spend their free time. Unfortunately, they lose a lot of their cognitive abilities.
Vladimir Vladimirovich, you said something about regional activities. You know, over the past year we have seen very big changes here, because, to be honest, I don't know what exactly, but maybe all the activities taken together – over the past year, all the member companies of the Alliance have been subjected to a huge demand from the governors. In fact, this is very cool, because in a very large number of regions, first of all, management personnel, government members, and municipal leaders are being studied and trained. And then enterprises and entrepreneurs are involved in this process.
And today, everyone is saying with one voice that artificial intelligence in management is another breakthrough, a breakthrough towards improving the efficiency of managerial decision-making and, accordingly, improving the overall efficiency of the Government.
I would like to invite our next speaker, Alena Kochorova. She is the head of the Department for the Development of Artificial Intelligence and Machine Learning at Sberbank, and she will talk about the application of large language models in the field of public administration.
Please, Alyona.
A. Kochorova: Dear Vladimir Vladimirovich, Herman Oskarovich! Dear participants of our conference!
Thank you for the opportunity to speak on this topic today.
I have been interested in foreign languages and translation since childhood. As a hobby, I translate texts from different languages. Such is the breakthrough movement of artificial intelligence and generative models in recent times that even online translators translate better than I do. Now we also translate our conference into other languages using artificial intelligence. It becomes clear that those who use artificial intelligence in their work will have an advantage over those who do not.
Our wonderful partners from the Moscow Region are well aware of this. When we worked together during design sessions on the best ways to start implementing artificial intelligence in the Moscow region, we asked ourselves: what do our citizens want in the field of public administration? Our citizens want fast, accurate and personalized answers to their problems. Yes, it is clear that some of the questions are very personal and require careful, human communication, a very careful approach.
But at the same time, 70 percent of all questions are of a reference nature, such as: where is my social card, am I entitled to a subsidy? And these simple questions can and should be delegated to artificial intelligence.
Thanks to our partners from the Moscow region, we quickly managed to train the large language model of Sberbank GigaChat to answer citizens ' questions on social topics. At that time, we had a website with 150 thousand pairs of questions and answers, and 20 specialized specialists from the Moscow region spent more than 1250 hours on the markup platform to help track generations and make them the most accurate and reliable.
How did we achieve this? We used advanced training with reinforcement. This is when for an artificial intelligence model, in each specific case, we show which answer is correct. But when we started testing the generation of our first model, we realized that we were missing an invoice. To do this, we have also created an information search module that allows us to refer to regulatory acts and cite relevant sources. It's like if you come to a library and not only get the right book, but also open it on the right page, highlight the text that interests you, and you don't have to do it yourself.
Large language models and artificial intelligence are also used in public administration in other countries. For example, in Brazil, to fight corruption, artificial intelligence tracks officials ' connections with contracted firms. And in the UK, artificial intelligence identified and processed the delay of more than 30 thousand pensions. In the case of manual labor, this would require tens of thousands of hours of human labor. In South Korea, for example, chatbots automatically notify citizens about their subsidies.
But even in Russia, implementation is already actively underway at the regional level. There are leading regions. These are regions such as the Moscow Region, of course, Moscow, Tatarstan, and Sakhalin. On Sakhalin, the entire island is being transformed, and they are striving to become a beacon for the introduction of Russian solutions in the field of artificial intelligence. In other regions, they are implementing solutions that deal with the environment, healthcare, and what my colleagues talked about.
We try to help with this. Over the past year, my colleagues and partners, including those from the Alliance for Artificial Intelligence, have held 48 design thinking sessions, during which we helped regions find areas where priority solutions can be implemented right now. Compared to the previous year's conference "AIJ-2022", we mostly engaged in a dialogue with individuals, and now there are more than 500 implementations of solutions in 67 regions of Russia. These are inspiring numbers, this is an inspiring result in just one year.
Of course, we would like to thank our partners from the Alliance in the field of artificial intelligence, such as Samolet Group, Uralchem, Rusagro, and Sibur. Colleagues are leaders of implementations in their industries and help identify the most effective solutions within the industry and help in this implementation. They help not only within their industry, but also help the state. The state has also made a huge leap forward. Since a large amount of disparate data appears, the Gostech platform has been created for their systematization, processing and widespread implementation. It will make it easier to implement ready-made solutions at the level of regions, ministries and departments, among others.
As you know, the systematic implementation and development of artificial intelligence in all three areas – regions, federal agencies, and businesses - is exactly what will help us develop Russia and make it the best public administration in the world. I truly believe that. I want to do this, and I believe that we are already doing it. Russia as a country without bureaucracy. Russia built on artificial intelligence and big data, with big data analysis. I believe that this is the vision of Russia that we can all strive for. Thank you.
Vladimir Putin: Will there be a new bureaucracy? The bureaucracy of artificial intelligence.
A. Kochorova: That's a very good question. We will set its models and see what analysis there is in this regard.
Vladimir Putin: Thank you.
A. Kochorova: Thank you.
G. Gref: Dear colleagues, of course, when we talk about artificial intelligence, we should certainly remember that today all our fundamental models, which are discussed here, are gigantic not only in terms of data volume, but also in terms of the complexity of their architecture.
When we created the first GigaChat model, the first version, we wanted to provide it to the market, but we saw that we needed to create a huge censor model, because sometimes the answers that the model gave out were, let's say, not quite politically correct. Then, when we delved into the problem of security, it turned out that, of course, there are a huge number of areas in which artificial intelligence should not in any way be an assistant. These are all sorts of criminals, questions about how to make certain narcotic drugs or explosives, and so on. And the process of creating such a censor took almost six months. All this complicates the computing process, makes a huge load on computing power, which is already not enough. And here, of course, you can't do without science.
I would like to ask the representative of science Alexander Gasnikov, rector of Innopolis, who this year just won one of the nominations of our conference as the author of the best article in the field of artificial intelligence, to speak. He is a mathematician, head of the Department of MIPT, just appointed rector of Innopolis ,with which, probably, we can congratulate Alexander. He is one of the experts in the field of optimization models in mathematics.
Please, Alexander.
Alexander Gasnikov: Hello, Mr President! Hello, Herman Oskarovich! Hello, dear colleagues!
Indeed, I am engaged in optimization, I have been doing it for many years at the Moscow Institute of Physics and Technology, and I also work at the Institute of System Programming of the Russian Academy of Sciences.
Of course, we have already heard the word "revolution" today. When did it happen? Here, probably, you can officially say: it happened on November 30, 2022, when ChatGPT was launched.
How to formalize the concept of "revolution"? Why is this a revolution? What has changed compared to what it was? By the way, competitors have appeared in Russia, which also, we can say, made a revolution in our country. So what is this revolution all about? It is commonly believed that a revolution is when communicating with this dialog system, asking it a question, and receiving answers, we cannot recognize who we are communicating with, whether it is a person answering us or a machine. I've seen it for myself. How?
I do science, we write articles. Here we have a spring deadline for the world's leading conference on artificial intelligence. We decided to mess around a bit and asked artificial intelligence, a large generative model, and a large language model to help us write this article. Asked to write an introduction, asked to prove some of the theorems. I was a little too lazy to do it myself – they asked me to. Naturally, she was wrong. But after a few iterations, she understood what we wanted from her, and in the end, she just fully helped us write some part of the article. Let's think for a moment about what happened. We study artificial intelligence, we asked artificial intelligence to help us study artificial intelligence. In general, I think it's interesting. The article passed, if anything, to the conference.
In fact, a lot was said here, in my opinion, very good and correct words. It's very close to me. But I always somehow want to highlight some possible difficulties, problems that we may have, where we need to invest, or somehow specifically consider them.
And we see four such layers: working with data, computing resources, algorithms, and people.
And let's start by working with the data. When we talk about data, it is naturally difficult to compete if we take the Internet, English, Chinese, well, we just have less texts in Russian. And, for example, for training the same ChatGPT, in my opinion, about 200 million A4 pages were used, naturally, pre-selected and prepared in the right way. It's hard to compete here. Moreover, a certain amount of trust is still required here, which was also discussed. And here, by the way, we have a groundwork, we have one of the centers around trusted artificial intelligence.
As for computing resources, it is also difficult to compete objectively. I will highlight these two layers. Indeed, in the West, it is banal to simply print video cards, they print them themselves there. And it turns out that it's kind of difficult with this. In fact, we have a certain technology in our country, alternative computing technologies, including those based on optical coprocessors, in fact, these are analog devices, I will not talk about this now. But what's great is that I found out myself recently that this is in some sense a product that is available in the regions, just that there are regions in the country that can produce it.
But now it's good. It's like there were such fly in the ointment. Now for the good stuff. And here I can give a lot of examples, it is very difficult for me to resist choosing one. But let me give you an example from my own practice.
What is the big language model? In fact, this is a function, it receives some text as input, for example, it represents it as a vector. Then some transformations begin with this vector, for example, multiplication by some matrix of weights. Training a neural network is the selection of a matrix of weights and such a superposition. It is clear that if we have, for example, 80 or 100 billion parameters of weights, then the number of such multiplications and calculations and training them, that is, fitting them so that this model with a given input corresponds to a given output, and we adjust it on billions of sample elements-it is clear that this is a huge computational task, a task optimization, and algorithms are needed to solve it. Depending on how good an algorithm we choose, we can save a lot of time.
Moreover, in the modern world, almost no one decides. I do not know how to solve such problems on the same machine. Naturally, their data is distributed. There are problems with communication, communication costs, reliability, power of attorney, that no one is attacking it. There are a huge number of problems with developing fast and reliable algorithms.
I must say that we have a huge reserve here in our country. In particular, we have seen for ourselves how it all works. This speeds up calculations many times, purely due to algorithms. Now we already have, for example, research centers on artificial intelligence in our country. If there is such synergy with the regions, I think it will be a very important story, especially in the development of some new bachelor's programs, the preparation of schoolchildren, so that we can achieve the necessary indicators.
I'm sorry, I'm going to speed up a little now, because I'm a little late, but it's very important for me to say the following. That's probably the most important thing I wanted to say. These are the frames. What are algorithms? Where do they come from? They are made by people, real people. These people need to be trained. How are they prepared? Starting from school. What do you need to be an AI specialist in the future? Probably math and computer science. If we look at how many specialists and students we currently have who are focused on these disciplines and demonstrate some success, then in the 5th grade-this is approximately 100 thousand, according to the results of the school stage of the All-Russian Olympiad. If we look at the 11th grade, it's 10-15 thousand.
Here is a running line: The Ministry of Education and Science believes that there should be 15.5 thousand specialists in artificial intelligence every year. But if at the exit we now have 10-15 thousand students from the 11th grade, and they are still somehow partially eliminated at the institute, then it is obvious that this is an objective funnel. Because the progress that we are currently facing, everyone is facing it. That is, not that we have such a problem, it is a well-known problem, but it must be solved.
The task is to expand this funnel somehow. And how can this be done? Actually, there are several points here that I don't have time to talk about at all. But I felt, as it were, in my soul that it is really extremely important to instill a taste for science, a love, I would even say, for science, for knowledge, starting from school. This is popularization, we have outstanding popularizers in the country, whose scale of activity, in my opinion, can be scaled. That is, the winners of international awards. This is indeed possible, in my opinion. That is, they have not yet been fully used, not all the juices have been squeezed out, but you can still put the squeeze on.
Allocation of grants to teachers, which is important, in the regions. This is a very important story, because the main subsidence in this funnel is small cities. In fact, these are regions, and everything is fine with the centers.
It seems to me that we have a country of talents, we have enormous opportunities. While preparing for this performance and communicating with my colleagues, I realized that the mood is very good, we just need to unite and do it.
Previous speakers talked about the dream. I guess I'll tell you too. I have a dream as a scientist – to use my natural intelligence to understand everything that underlies it, and as a newly minted rector (today, in my opinion, the order was issued) the dream is different-to expand this funnel, but it is heartless. Mentally – it's easy to understand that there are really a lot of talented children in the regions, small children, even the first classes, from which you can really make the most talented people who will benefit the country.
Now everything is moving towards this, a lot of things are being done, but more can be done. My dream is for this to be realized to the extent that the country needs it. I want it to be so. Sorry I'm late, I'm just sick.
Thank you.
Vladimir Putin: I do not know, we do not have a Minister of Education here?
Alexander Gasnikov: I spoke to him yesterday.
Vladimir Putin: He chose not to be present today after your conversation.
A. Gasnikov: He's sick. We had a very good conversation, and he will come to Kazan in Innopolis in December. It was all very close to him. We planned to talk for half an hour, but we talked significantly more, we talked with Elena Vladimirovna Shmeleva, we talked with Dmitry Nikolaevich. In general, the work is underway.
Vladimir Putin: What did you ask him for?"
A. Gasnikov: You know, I'm not very good at asking questions, to be honest.
Vladimir Putin: You are a novice rector, you will learn more.
A. Gasnikov: Yes, I am a novice rector.
What can I say? I understand that there is a simple idea. From my own experience, I can say that there was once a mega-grant program, 10 years ago.
Vladimir Putin: Why was it there? It exists.
A. Gasnikov: I am referring to the first wave when leading scientists arrive. Simple information, I did not prepare this at all. Megagrant, which was at Fiztech, the professor calmly led it, he brought several outstanding world-class scientists. The three or even four artificial intelligence centers that now exist, about half of the articles that these centers do, are done by people brought up in this laboratory.
That is, let's think again: if you successfully invest in something (funding was 150 million a year), then the effect of this (this is half the scientific track) is half of the centers, this is a fact.
You see, in this sense, I see it this way: if you really bring a bright person to the regions, encourage them in some way, that is, build the rules of the game in such a way that there is nowhere to go and you need to develop something in the regions: science, artificial intelligence, I am deeply convinced that this will really make sense very serious effect. Because a huge number of talented children there do not always have the opportunity to simply get the necessary knowledge. As for the talented students who are gathered in these centers, if they are somehow encouraged to spread their knowledge (I have done this myself and understand that I really like it, I feel that it is in demand), I think it will have an effect.
Therefore, I would like to ask that the regions have this opportunity.
I'm from Moscow myself, and I'm doing well. Question: Why do I need to go to the regions? Well, as you can say-the soul lies so. And there are many such people, by the way. If we unite in this way, it will be very cool for the country, I feel it.
Vladimir Putin: I draw several conclusions from what you have said.
The first. We have created a grant system for a reason. It works, gives results, and is already working well.
A. Gasnikov: Definitely.
Vladimir Putin: What is needed to ensure that the regions respond appropriately?
Thank you very much, please sit down.
Alexander Gasnikov: Thank you.
Vladimir Putin: Let's ask the governors, who I see sitting in the front row are some governors.
Andrey Yuryevich, how is this developing for you? What do you need, what could you do in addition, to bring such bright, interesting and necessary people to the region?
Alexey Vorobyov: Fortunately, we have a Phystech in Dolgoprudny and there are specialized schools, quantoriums and special departments where very gifted children teach programming, robotics and artificial intelligence, among other things. You know, we have science cities like Korolev and Reutov, and all this engineering thought just lives there.
Our task is to pay attention to it, to create conditions for teachers to come there and for children to have access. Do we have many or few of them? I don't think there are many quantoriums and such research centers, Mr Putin, and there is a real demand for them.
As for the use of artificial intelligence, we have specialists in our team, just as Sber and Moscow have them. These are young guys. In our department, about 300-350 programmers sculpt everything that today's speakers talked about. It is very important that they sculpt together with Sber, because Sber has opportunities, they are a driver. The uniqueness lies in the fact that" Sber " travels by region. On the platform where they see this or that solution, the team leaves so that colleagues can also… Why 67 regions? Because, accordingly, Sber offers products and implements them.
As I reported at the last conference, Mr Putin, we had nine artificial intelligence products, and now there are 27 of them in operation.
What is the key task? The fact that so many of them work according to scenarios, that is, they are not very smart, as the interlocutor would like. You, Alexander, said that you want to talk to artificial intelligence and not distinguish that it is a machine voice. If we really implement Megachat, what Alyona said, it will certainly be a victory, because this is a different quality of efficiency of state and municipal management, in particular. I can give examples, but I'm afraid I'm already abusing them.
Now we have launched the "assistant Zhenya "[ electronic assistant robot Zhenya] in the housing and utilities sector. It is still being improved. In February, we very much hope that it will be able to accept a request from a resident, and will be able to call this or that service, and report an accident, and get a photo report to pay for the elimination of this accident. Of course, I say this live and boldly, but this is the goal, this is the task, and with Sberbank we are implementing such solutions.
Last year there was a decision on garbage collection. Thanks again to legislative regulation-thanks to the Federal Assembly-today we see everything that goes in a truck in the Moscow region on a video camera. Accordingly, if a ticket is not attached to this car, then there is a high probability, almost absolute, that it will be thrown out in the forest. Because artificial intelligence analyzes whether the car has a ticket and, accordingly, all this work, the bundle passes.
I think this is a very important job. I want to thank you, because after such conferences there are specific instructions on the very regulations (legal and subordinate) that allow the implementation of artificial intelligence.
In conclusion, Maksut [Shadaev] and I talked, and they say that this year the State Duma will adopt a law, and there is every reason to believe that the meaning of it is data markup.
The fact is that if you mark up data, that is, prepare what is good and what is bad, respectively, we will be on a single platform, Vladimir Vladimirovich, then the speed of implementing artificial intelligence, as I understand it (I am also not a deep professional), will be completely different. And if such a decision, such an instruction was given, then all regions and all institutions could create these sets on an open basis. It seems to me that this would also attract specialists.
Vladimir Putin: Thank you.
As for the Moscow Region, intellectual baggage, intellectual infrastructure has been created in the Moscow region for decades, and you have a base that you can use. But, unfortunately, there are a lot of regions where development went in other directions. In particular, in Siberia.
Sergey Yevgenyevich, how did you build this work in Kuzbass or can it be built in the near future?
Sergey Tsivilev: To attract people who are passionate and intelligent, we need to do two things: set an ambitious goal and give them the opportunity to express themselves and achieve results within this ambitious task.
We have set an ambitious goal in Kuzbass. We used to be a global testing ground for the use of new technology by all global companies in the field of exploration, production, transportation, processing of solid minerals, energy and transport. They gave us new equipment, our engineers gave them recommendations, they fixed all this at home, and so on. Now they are gone, and we have set ourselves the task of turning Kuzbass into an engineering center for our Russia. We do our own engineering school, starting from kindergarten. We have now made a decision – together with Sberbank, we will build an AI center. And we want to combine the engineering school, in parallel with artificial intelligence. Then it will fire and give a very big effect.
We believe that a modern engineer is the one who should be in the database, should build algorithms, and should understand both artificial intelligence and economics. And the combination of artificial intelligence together with a professional engineering center will give us a huge step forward. Interested people are happy to respond to this idea.
We have just held the 17th to 23rd International Practical Conference on the Study of the Productive Forces of Kuzbass. I didn't even expect how much interest there was in each of the areas we offered. So people will go to the regions if you create simple conditions for this.
Thank you.
Vladimir Putin: Thank you.
Gref: Mr President, from the point of view of personnel training. We opened School 21 in Novgorod just a month and a half ago. We received your order, and I must say that it was enthusiastically accepted, to open a "School 21" in 12 regions.
Sergey Yevgenyevich and I have agreed that we will open a school in the first half of next year. He is such a strong person, at first he said that we will develop digital technologies and artificial intelligence. I say, " You? You have coal." He answers: "The coal was yesterday. Tomorrow there will be a figure." And that's all, and "let's go", and we couldn't get out of it, we had to do it in such a record time.
Vladimir Putin: But will we still have the coal?
Gref: The coal will remain. He wants to build a "second leg". At first it sounded a little strange, but now after a year and a half of work, we see huge progress, Yakutia, Sakhalin – huge steps are being made. In Yakutia, just surprisingly, the competence has grown, Lipetsk and so on.
You know, the most important thing is the involvement of the governor. If the governor is personally involved, then everything is flying in the region. And I have such a very good mood in this part, because more and more governors are seriously puzzled by this, which means that there will be progress.
And at the federal level, we start every Monday at nine in the morning in the office of Dmitry Chernyshenko and Maksut Igorevich, because the construction of Gostek is underway. Every Monday, no matter what. And of course, a lot of progress has been made this year, and a huge number of difficulties have been overcome. And all this will eventually come together, I think, in a new quality.
Vladimir Vladimirovich, we also have one speaker. They told me what events to attend.
The Ministry of Education is hosting a big Olympiad on artificial intelligence. We are helping to do this, and this year, just a week before the conference, the winner of the Olympiad was a very talented boy Ilya Grinyuk, who is studying in the 11th grade of a secondary school in Balashikha, in the Moscow region. He has been involved in machine learning for a number of years. Ilya is the winner of the All-Russian Olympiad.
Ilya, I want to ask you a question. Why did you decide to engage in artificial intelligence, and what made you do it? And how do you see your future?
Igor Grinyuk: Hello, Mr President, German Oskarovich! Dear conference participants,
My name is Ilya Grinyuk, I am 17 years old. I became the absolute winner of the All-Russian Olympiad of schoolchildren in artificial intelligence.
I love programming very much and started getting into it about four years ago. My teachers and mentors of project schools helped me with this. I worked on projects with them. This experience was very cool for me, as it later helped me participate in the Olympics. I participated in them in grades 8-9, and as a result, in the 10th grade I became a prize-winner of the National Technological Olympiad, and in the 11th I became an absolute winner of the All-Russian Olympiad of Schoolchildren in Artificial Intelligence.
In the future, I want to join the Faculty of Computer Science at the Higher School of Economics and continue my professional studies there, in order to contribute and take part in the development and training of large language and multimodal models. I find this area very interesting, and I can see how fast it is developing. I want to live in this future. In a future where my mother, grandmother, and everyone else could live for at least 120 years. In a future where education is simple and very effective. In a future in which people will have less routine, they will spend more time on the right things. In the future, which the distinguished speakers told us about today. I was very inspired by them, and I am very grateful to them. Thank you.
Gref: Ilya, thank you very much for your enthusiasm and efforts. I would like to wish you academic success and future discoveries.
Let's thank all our speakers once again.
Mr President, I would like to ask you a question.
First of all, what do you think about the topics and topics that our speakers touched upon here?
And let me ask you a question: what is your dream?
Vladimir Putin: My dream is that everything we talked about will come true.
One of the last speakers, the new rector, said that we are witnessing revolutionary events in the field of numbers in general, in the field of artificial intelligence.
I don't want to give definitions now, but it is clear that the revolution is a sharp breaking of the old norms, rules, and orders, a transition, as they say now, to completely new platforms, to new laws for the life of the whole society and a particular person. Of course, we don't need any drastic changes or changes here, we need evolution. But it should be organized quickly, efficiently, and efficiently at all levels: at the level of business, at the level of municipalities, regions, federal authorities, and in all spheres of life. We need to strive for this. And this is where we must focus all our intellectual, administrative, and financial resources if we want to ensure the country's future.
I want to wish you every success. Thank you very much.
Gref: Dear Vladimir Vladimirovich, Dear colleagues!
First of all, I would like to thank you for your annual participation in the conference. Your participation gives great inspiration to a large number of people. The same can be said about officials, civil servants, scientists and business figures.
I would also like to wish you success from the bottom of my heart, because the prosperity of our country depends very much on your work. And in accordance with your wishes, you can be sure that I think we have every chance to realize in a short time all that was announced here today as a dream.
Thank you very much.
Vladimir Putin: Thank you. Good luck and success.
Yes, Putin is indeed high on AI: “I have already said that this is a new page in the development of mankind.” Is he off base, or is he correct that AI will surpass the computer/internet information revolution? And this from Mr. Gref:
Indeed, what you said is absolutely true, everything is happening at such a rate that we are constantly making mistakes in our forecasts. We believe that some processes will take much longer, but technologies are developing faster and faster. We see that everything will change very much in the next five years.
All Aboard!!
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i am not a fan of AI... i think it is a dangerous slope, given our present inability as a species to overcome conflict or, only thru the use of power, as opposed to compromise and seeking a way for us all to get along on the planet.. i see the enthusiasm for it, but i am not a fan! thanks for these updates karl..
AI is clearly the future, no doubt about it. One has to wonder, how long will humans be nessacacery? We may have to bond human and AI together as cyborgs, Or blend organic brains with robotic exoskeleton. It will be an exciting addition for evolution.