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. i'm vitaly demirov, an analyst at the belarusian institute for strategic studies and today i would like to talk about the artificial intelligence of the digital economy , the opportunities and risks that they bring to our country. hello, on the air, the program, say, do not be silent in the studio svetlana smolonskaya and tatyana shcherbina and today vitaly demirov is our guest. good afternoon vitaly good afternoon.

hello vitaly, we are very glad to see you in our studio in the last few years. we often hear the phrase digital economy. e in the world constantly talk about the transition to it. let's start by explaining for our viewers. what is the digital economy and is there any definition of this concept at all, in principle? well , actually, i would like to start with the fact that the definition is still so strict, and regarding which it would be. ah, consensus. so in the scientific expert community, while it still does not exist, but the digital economy. it's more like this. here is a trend of some kind of perspective that we are going, but uh, in fact, there are, and well, such are not very let’s say such uh, correct secondary ones, you can, so to speak, the definition of the digital economy, which is either directed on this path. they either slow down the movement there, let's say, but if you literally just mark, here, uh, let's say, what it is

. here it is not, yes, that is, when we have some kind of separate digital services industry in the country, let it be very well, developing, there, making a significant contribution to the economy, gdp and so on, but so far it is just a separate isolated and so on, that is. well, it's not a digital economy. even here, in the sound itself, we hear that digital, as it were, the whole economy yes, they are a kind of industry sphere, therefore, well, i will say so metaphorically. at that moment, when even there the paper becomes smart, yes, that is, relatively speaking, well , then we can start talking about what a digital economy is. well, let's say it appears like this, but if we say it, it 's actually more formally strict to say, but let's say the digital economy needs to be clearly different from the informatization stage, that is , the kind of infrastructure of various application services and a. as a rule, the old such already outgoing architecture is called monolithic client-server architecture from digitalization.

when it is not just about the fact that some kind of service is being implemented on some kind of e, well, the current process and its structure do not change. well, for example, informatization, i would call it, so a we created an application, let's say for, uh, recording the queue to the doctor, well, some kind of electronic application. at the same time, the creation of the application did not change these processes themselves. digitization is the opposite, when an application is created that allows you to work with objectively reliable, let's say, data, changing the process itself and the very quality of the service, for example, well, let's say, when a doctor receives, let's say an artificial intelligence system that analyzes, let's say, the primary. uh, fluorography data there. mri something else and on the basis of this. can we say to show the service, otherwise, that is, it is already. well, let's say, some kind of digitalization step. well, if you ask the key question, that is, why what is the economic efficiency? that's uh, changes that's exactly the structure that's the business process of the workflow, uh, that's the quality

it's clear. that is, we discussed something here first. it should be said that, uh, the increase in the number of machine-to-machine connections will, in principle, well, create such an opportunity. eh, then what, let's say experts call the processes of self-adaptation process self-optimization, that is, conditionally speaking, when you have a mathematical model that connects the metric of the process itself with the source of primary data, then the process itself can be optimized. and here already. well, in general, such a way uh, promotion economic efficiency, profitability, etc., which are still quite poorly analyzed, but it is quite clear that it will be colossal, and if it is also said, well, there are enough traditional effects that digitalization usually associate and call that reduction in transaction costs, that is, there search for counterparties to protect the contract , contract execution, etc., then, in principle , this is exactly the way when the processes will be more

inter-machine, excluding the influence of the human factor and the be optimized. that is, it leads to the fact that transaction costs will be reduced as much as possible by some economists, that's their share. let's say a share of such costs. uh, gdp is estimated there up to 70%, but this is the most optimistic estimate. well, let's just say that we can assume. e, having achieved a serious breakthrough precisely in reducing transaction costs due to this self-optimization effect. it will be possible to increase gdp there well, by 50 percent, well, this is an optimistic scenario. well, this process is quite lengthy. i understand so transition, of course, that is, you can take into account the fact that, well, such, let's say, primary rather trivial mechanisms. here is the inter-machine connection. it's like they already exist. and in principle, they , let's say, do not affect the economy much, that is, well, take, for example , a navigator, but yandex, on the one hand , collects data on traffic, does not

send it to the server and analyzes and issues recommendations. let the car go. yes, but, nevertheless, it is precisely here that artificial intelligence is data mining, that is, rather in applications. well, which would would concern, well, such, let's say, more serious , er, task. here are the transactions. that is, while they are, in principle. well, no, that is, if in a general sense to say that, speaking of the scheme, the structure of these mtm inter-machines, the connections of which should be more in the digital economy. well, structure. this is the peripheral level, that is, the sensors that receive data and the average communication. as they say, the link that transmits signals and the software itself, at the level that is already being implemented is like this. well at least data mining should be implemented, therefore, if we have the first two levels, but at the level there is more. bad enough, then the effect of inter-machine. uh, let’s say their growth in the economy for the economy itself will be quite modest vitaliy, but

a number of experts call the transition to a digital economy the industrial revolution, the fourth in a row, is that so, i would probably still believe that the digital economy in its impact spectrum on a wider scale than just here industrial yes, on the industrial aspect, that is, the so-called industrial internet. here is what was said and it is quite broad. the application of the internet of things of its er, industry. that is, when, in principle, well, let's say the instruments are sensors and, well, there will be instruments. in general , well, interact like some kind of orchestra , taking into account the risks that may be at the hardware level and so on, but, nevertheless, the price economy. it also affects the administrative regulations of the society of relations in the financial sector more than shirokov, that is, for the economy this is the turn of increasing labor productivity efficiency and these very, very optimizing processes, uh, which, well , ultimately lead to gdp growth,

uh. if we talk, of course, that's about let's say, well, specific users of people and so on. this is an increase in the speed of the convenience of quickness. there's getting some kind of service. but the key point is that the figure begins where it is the structure of the process itself that changes, that is, conditionally speaking, strange as it may seem, the technical specialists themselves. they are interested in having as much inflow as possible, by ordering the replication of some auxiliary, let's say, those tools that serve the current bureaucratic processes. well, for example, create a new portal site or some kind of application form there. well, that is, this is normally perceived, because this is an influx of orders, but to make it so that e, here, there was no need to submit an application at all, that is, change the process in this way. in fact, not everyone wants to go to this, and not always

. it corresponds, let's say, to the interests of the companies that work. well, as it were, yes digitalization, so here you need to clearly understand that digitalization begins, where the human factor decreases, business changes, the process of their regulations, administrative regulations change so that it is both cost-effective and convenient, let's say for people. well, you said that the transition to a digital economy would be cost-effective. after all, this is a rather costly undertaking, when all these expenses and expenses pay off, the key point is that you still need to take into account temporary varnish, that is, they do not grow immediately. that is, it is an investment that gives a return over time and the second moment. uh, important enough that efficiency and effectiveness. here, the introduction to go very much depends on related intangible assets, that is, if they are underdeveloped, if the country is underdeveloped e, the infrastructure is underdeveloped there, there is a transfer of knowledge to a number

of other innovative institutions, so to speak, then, accordingly, the effect of implementation is found in the economy. it will be more modest, that is, well, here is one of the theses voiced during recent message of the president of the people's parliament. he also touched upon the large-scale digitalization in our country, according to the head of state. she's still bouncing. uh, the president also mentioned the high -tech park in his message, let's hear what he said about domestic software, and its implementation should become an absolute priority for all organizations involved in relevant developments. support for the creation of new information technologies should be received not only by residents of park technologies, but also by the academy of sciences production association financial sector scientific and educational institutions. moreover, thanks to their efforts, he managed to avoid chaos, including after physical important

infrastructure, and the park needs to be seriously involved in this process to create new competitive products in the interests of its country, leave intellectual developments. here is a park, high. technologist roman alexandrovich must be cruelly moved. they are too obsessed with sanctioning them, you see . it's hard. well, you must have your own software. we have a park high technologies, but at the same time, digitalization is lame in our country, so to speak, it is stalling. yes, that’s all, uh, the above, plus more recently , on april 12, the president signed a decree on the development of a high-tech park, how will all this e affect the digitalization tasks set. what do you see in the prospects for the development of this digitalization in our country, the prospects are certainly not good enough for us, especially against the background. let's say the realization of what is real. let's say to sit on let's

say such easy money, that is, well, in this time can be said to be running out, that is , you really need a vector on issues within the market for your own, say, product model companies. it will be very stimulating in fact. the opinion of such a competency map, that is, the training of specialists, that is, in fact, when it comes to outsourcing, that is, you often, well, as a rule, yes, that is, they give some, well, let's say secondary secondary ones, yes aspects of development that do not concern, as a rule, some complex intellectual core of the system. that is, where you need, uh, well, let's say, to have, well, more serious just mathematical skills. they are just, well knowledgeable. yes, they are just, uh, let's say, uh, programming skills, that is, relatively speaking, if we are talking about such a digital pyramid, uh, development, that is, at the beginning we have, let's say, a mathematical

model at the base of this pyramid. then from this model. actually , some algorithm is allocated, and at the top only the program code is written. so these two stages are a mathematical model and an algorithm. i mean, well, not always. let's say those collectives are a group of companies and so on, which works for outso. they can't always. well, they don't even have such a need often. and yet, when some one comes to you. well, i don’t know the customer, the businessman, and so on. and he asks to solve some of his problems. well, there is a business problem and very often this is due to the fact that you don’t have some hmm, well, let’s say, well , i don’t know the frames of development tools libraries ready, then you need to take on these two floors, that is, development, but mathematics and algorithm, so take on the ambitious task of creating product model companies, as well for the country as necessary. well, of course , if you have the competences on all three floors. therefore, i think that,

based on what the head of state said. this is already conscious, understood and unconditional, after a while we will see. well, interesting breakthrough products both on the domestic market and, let's say, concerning not only games or instant messengers. yes, relatively speaking, face more serious products. class and rp systems for an enterprise crm systems for interacting with consumers uh, that's all, but nevertheless, you still need to understand that it 's a matter of consolidating efforts and the ability to pay uh . this is also such a non-trivial economic task, that is, well, i would actually suggest. well, that is, if you follow a simple scheme of some kind of maximum concentration, efforts, it is allocated directions. i would suggest, of course , not to engage in import substitution conditionally speaking conditionally of any software, but focus on uh, developing uh class

of such systems that are needed. well, let's say the majority of enterprises, that is, our major flagships. that is, they could well , let's say, unite their efforts by creating. let ’s say he’s some kind of legal entity by getting there exactly here is a specialized team for this product. and then sell this product. well, i don’t know software as a subscription service, that is, well, a number of other companies that could use it. well, then reinvest this profit in development. that exist in that case dividing. actually. this is precisely the time-consuming and science-intensive part, that is, to create such complex systems. that's how i say, it's important, science-intensive, where are these first two floors of the mathematical model and algorithm. and this is not necessary, there are 1,000 developers, relatively speaking, 5-10 developers. well maybe more, but still focused on the science-intensive part they can do. well, as it were, the main component of this system, let's say how then to finish everything else, relating to this top of the programming pyramid. well on

the market will always find terms that will do this, therefore, here is the key point in this, that is, here we are not even talking about taxes of references or, uh, in some kind of administrative regimes, although i absolutely agree that with the fact that both the academy of sciences and others subjects too. there should be just the right concentration of efforts and one science-intensive part here, that is, when developing only those systems that are needed at this stage of economic development now for all enterprises. if we talk about strong artificial intelligence, well, the prospects building thinking machines. first of all, it is necessary to note the importance of the semantic direction in computer science and the prospects that we had for the belarusian school, which begins with the word e, the universal semantic code created by viktor vladimirovich martynov. they will allow us to create a new promising alternative direction to machine learning, which in the future will be able to create a breakthrough in this area for our country's economy.

let's translate. let's think it all over in numbers pause. we have a telegram channel. say don't be silent. subscribe suggest us guests and ask your questions. we are in touch. on the air again, say the program, do not be silent. and today our guest is an analyst from the belarusian institute for strategic studies. vitaly demirov vitaly well, digitalization certainly has a lot of advantages. we can now see. what exactly is it and chat bots are personal assistants. 3d printing online events, virtual reality and so on electronic contactless payment, smart the city is transport and so on, but there are certainly disadvantages, for example, total control and lack of privacy, death. cyber ​​security crime under threat. yes cyber terrorism. uh, unemployment and these days of people and robots and then the notorious artificial intelligence. uh-huh and

if we talk about neural networks, is it true that the hype around the e-famous chat and the fact that he can think, i answer. that's the last questions that concerns here is able or think it's a type of course. this is also, well , unjustified hype, that is, first of all. well, the experts here, as they say, will not let you lie, that is, we are talking about a purely linguistic model. that is, and well, of course, this is a large linguistic model with a very large set of parameters and so on, and in principle here, well, you can say, well, if in such, well, a more generalized form. that's sometimes the logic of linguists and mathematicians talk about the differences. uh, syntax and semantics. that is, like this. uh, the traditional let's say the problem, that is , the syntax of satanism is the rule of how one sign is associated with other semantics - this is when there is some content behind the sign, yes, the meaning and if we talk about neural networks. that's how such here is a specific mathematical

learning model. uh, of course, it's hard to say here that well , a certain, let's say, uh, semantic representation of knowledge is being implemented. eh, that is, it is here, but, in principle, it is not, that is, in fact. well, we are talking about what, well, can be so metaphorically translated as such. well, in a sense , the chinese room experiment says, if there is a person in the room, and outside the door another person, he will be slipped cards with chinese characters and cards in which the rule is written, how to connect one character of one form with other characters of another form, a person receives such cards in the room at the entrance. he, of course, will be able to connect 1 ruble with another. and i don’t know what each of these hieroglyphs means. naturally. we cannot say that this person understands chinese, that is, he will go out, and the correct card is sent to the person outside the door, since he will use the rules, but he will not understand chinese there yes, therefore , well, this is the difference, but the syntaxes

of semantics, that is, well, to put it more, let's say strictly formally. well, that is, in fact. well, there are some two sets, that is, a set x is a set of objects, that is, with these objects. well maybe whatever there people page. and some other objects and a lot of answers, that is, a set and y is some kind of hidden unknown dependency it is called the function target function y, which reflects, uh, a lot of objects, a lot answers, but this is hidden unknown dependency, it is measured in a certain area, let's say x1 xl and that is, in this area. we know for each the answer at each point for y from x and that. that is, accordingly, the task with is disabled. here, if we are talking about machine learning to build a decisive function, a which would be approximated. well, we use such a term now, i will explain it, which was proximal to this e target function y on the entire set of objects x and from the key moment. answer the question. can the car

think about proximation is not, then a generalization that uses a person. these are very, in fact, important examples that confirm this theses, that is, literally recently, an american e you. in the game alphagol, that is, the key point here is that he went to the field of the machine, that is, where everything was already considered absolutely hopeless. yes, and he won 14 out of 15 times. well, alpha-go is considered more difficult than chess. if yes, for example, that is, he won 14 out of 15 times, and moreover, it is important that he was not a champion or a professional there. he was level slightly below, say, the highest amateur level. well, that is, like this, there is a higher amateur side. it is a little lower and the question is, as if some years ago, i don’t remember exactly the number, but the program beat the champion. that is, how this became possible, and in fact, this aspect reveals. a hmm well, the answer to this question reveals these formal mathematical nuances, which i just talked about. why proximation is

not a generalization. that is why a person thinks otherwise, uh, so the answer is that uh this man not being, let's say, a professional champion, but he knew well how russia was organized, that is, he developed his own program that played, uh, with the program , let's say, with artificial intelligence , this wolf, but the key point is very important that he did not played with the program. he just exposed the vulnerability of this program. well, the so-called blind spots and then used a distraction. that is, on one part of the board has a trick. and the car, yes, that is, on one part of the board. absolutely he so to speak. uh, well, did a red herring based on knowledge. these are the shortcomings of the blind zones of the neural network, and on the other part of the board it was simply surrounded by its own pebbles. uh, let's say the system is pebbles, well , in fact, when the alpha and it turns out like this , the key point is that the car did not notice. that's 14 times out of 15. if she actually learned how to learn from a human being. never why very low

training in this game would not miss it for people who love to dance on a rake, so to speak, it comes all the time. in fact it would be here possible more simple even. for example, to bring here is obviously a person who, let's say, has learned to integrate there , to solve differential equations, to embrace his allocation to zero. i'm so conditional, that is hard enough. i mean, he's already learned. it is already, well, let's say more so, a low-order operation. he understands how it happens, but with machine learning, we see that something is different, something is wrong. and by the way, they are really talking about such interesting applied areas in development that we could use and talk about this very manifest mask. why not engage in, well, understandable artificial intelligence. it is also necessary to develop, but also not to engage in the search for cataloging and systematizing the vulnerabilities of certain systems, that is, for sure, when artificial intelligence directly will have a very strong influence on

digitalization on various systems there. institutes. hmm government agencies. need understanding these. uh, well, market vulnerabilities are going to be just, well, rabid, therefore, knowing the list of such. we may have also mentioned elon musk recently. so i read elon musk said that the development of artificial intelligence. can lead to the destruction of mankind. he believes that, in fact, everything is going to the fact that artificial intelligence will make decisions for people, er, who will no longer be able. eh, turn it off. even agree with him or this is another hype. no it is, of course. hype, even if we talk about themselves , well, here is the result, but the actions that were taken this is the group that signed. yes, this manifesto. well , first of all, they could, well, to start with money, let's say collect teams of projects to find vulnerabilities. in fact. it's not just like that, what we are just talking about is not just some kind of manifesto then.

it's real. well, in practice, actually work is, uh, related to opportunity. well, let's say disable or somehow. well, let's say manage an uncontrolled move. the development of the event, and, secondly, he simply created a competitor’s company, in my opinion, there, in a few days or weeks, an absolutely similar directions are also related to the chat-bot of the linguistic model. and moreover, er, that is, i emphasized what concerns exactly this, the so-called technological singularity. that is, when artificial intelligence can really think, here 's how it would be without semantics without what we talked about. here in this chinese room experiment. this is, well, impossible, yet, that is, machine learning and purely syntactical constructions. they are, well, far enough away from that. even if you give an example with a person. it's with an analogy. usually they say, here we also have synapses, which, that is, some kind of ion current flows, there are synapses, which, let's say, in which this

current is modulated, then in neural networks. this is just a certain threshold, that is, e, yes, no, 01. that is , in our synapse, in my opinion, there are about 24 neurotransmitters, which are in different proportions. sep second to them works at different speeds. that is, you see, here, uh, a colossal number of degrees of freedom, even at the level of the sine here, and not to mention there the number of neurons and connections, so we see and actually semantics. this is what we are talking about is encoded precisely at the level of chemistry. that is, most likely, specialists are now coming to this point regarding the network structure and interconnections. here are these nodes and so on, this is what we say to the question of osinth. and in fact, we also perform a lot of cognitive operations automatically. that's what concerns the syntax, that is, even now picking up proposals to kiss the kidneys. uh, when i say, i, well, i don’t really think, i keep in head some such trick thought, uh, but everything else happens by itself, therefore , something like this will be done now, some kind of

combinatorics, yes, with the help of manipulation with language constructions expressions at the neural network level. but what concerns precisely thinking. but the semantics are obvious. what, it's not there now? and here, too, it would be useful to speculate. and why are they now accepting such strict ultimatums on restrictions, and the point is, in all likelihood, not only in the competition itself, as we said, but, most likely, also in some such diversionary maneuver. yes? well, as i suppose, that is, if you look at what other truly significant systemic project is currently being implemented at the international level. that is, you can call it a projection of digital currencies of central banks. it is also how artificial intelligence is. well, we can say in all digitalization by nodal complexes. well, i would call these two key, uh, technologies, and because this is really, really,

practical work going on. and not just for to some pilots of the development of separate countries, but it is precisely this work on, say, the synchronization of roses. the central bank in the framework of international cross-border payments, in this case it seems, well, like this, understanding, what is the fat currency of central banks. in general, this can carry a number of significant risks. that is, of course, they also have positive aspects, but nevertheless, it is interesting that you mean that this will be a certain system like swift here already. if you set a goal, then turn off. eh, so it will be impossible to bypass any you won't find any loopholes. well, not really, uh, like swift, then swift is not a payment system of this system, rather, from the transmission of financial messages. that is, she, as it were, is sent. this is a payment system. this is

a separate one. yes technical entity. they simply indicate there, to whom, how much for what, that is, some kind of accompanying information about the transaction, well, without which, of course, the payment, well, it cannot. to be realized, but more than that, well, let's say we are talking about. oh, that is, let's say to such a system, which, uh, belongs to it, let's say. e, there for example, a specific company, let's say an institution, a centralized system, that is, speaking, there are certain elements in the central bank, but decentralization. there is. um, well, the key point is, after all, certain, that is, why because really? well, the blockchain, that is, well, conditionally, on which it will be implemented, uh, let's say the digital form of the currency. it can be very different, that is , there can be hundreds of types, that is, if we talk about such a general architecture, the structure of the blockchain, in fact, decentralization concerns only two aspects, that is,

the aspect of technical and political, that is, technical. this means that, well, let's say copies of this registry are, as it were, distributed among different nodes. uh, politically, well, conditionally ethical technical sense is meant. ah. there, let's say it describes the aspect of management. that is, how the nodes participate in the management of the adoption of, say, collective decisions, but there is also a logical aspect which, in fact, is media - this is very rare. they say blockchain constantly say decentralization. and so this logical aspect it concerns. here, just the general state. here is the entire network. uh, after, well, some kind of consensus is accepted between the participants of the nodes. and this general state is, well, an element. well, let's say such centralization and let's say, given that these aspects of centralization can be used , in addition, given that, most likely, well, it is not yet completely clear, but, most likely, the level of the gateway through which go

let's say a mix of different national. uh, cbv will be hierarchical, that is, you will need to open your digital wallet, that is, in the central bank. uh, let's say the cb of another country you want to settle with. that is, in principle, there are real risks here. well, let's say, what kind of plan, if they are simplified here, if with a whistle you turn off, for example, the possibility of a country. here, well, pay off, well, in one way or another there. well, usually this is the reserve currency of the state, usually have some sort of consolidation capability. efforts to create their own payment systems and their systems transfer of information. we saw that russia, china, and turkey followed this path. that is, even the russian system of the world. it is the use of the international format in the central bank system that will lead to the fact that there will be an opportunity to manage. well, let's say or disable, for example, not just the entire installation

as a whole, but a separate business and in fact. and if there is a subsequent turnover, the recall of the central bank will be an algorithm. that is, let's say artificial intelligence will be connected to all this, which will generally function. certain criteria in this mission of handling and conducting transactions, most likely these criteria will relate to the so-called acg criteria, that is , the environmental friendliness of corporate governance standards and other things, respectively , we are talking about what those companies that do not meet these standards of their transaction will simply automatically will be blocked at the international level and well , it is clear that small businesses rarely participate in any large export operations. but it's just like that, it can be a serious blow to medium-sized businesses, which, well, in fact, will be deprived of the opportunity to trade in foreign markets. maybe i will now voice some kind of conspiracy version. you can

refute me if i'm wrong, maybe some transnational companies, some global capitals that set their own goals are behind this. take over everyone and actually destroy it, or crush the average business so that it does not develop and become large and does not begin to compete, but specific, of course, there are shady names government, it is difficult to actually say what we see publicly, but this international project specifically emphasized the international cv of the central bank, and now a group of countries is developing. here the audience may ask if there is such an icebreaker project, that is, these are the central banks of sweden, norway, israel, the black interesting thing is israel for a very long time. here, as if in the shadows kept on this topic, but now e has become more. yes, to initiate the movement and these 300 sides of their central banks in conjunction with swiss bank for international settlements. well , some of you think it's almost equivalent

, uh, the fed is the central bank of central banks. that's it . here it is conditionally four. they, in principle, are just now developing such a pilot project, let's say, that is. so far, there is, well, some kind of public information on how it will regulate an international transaction , it is noted that, well, the shortcomings of their payment systems are, as it were, such a big attachment, there to the technical architecture, there national legislation and so on. she will be overcome. that is, this icebreaker node, as they say, it will but allow to unite, but local, well , the national cbts, regardless of what blockchain architecture is there in what configuration it is made, that is, let's say. this is how the compatibility of these currencies is implemented, and in addition, how they differ. he will allow, well, say, but hmm to leave. here. uh, well, that is, it will select the optimal exchange rate. that is, as

they say, and most importantly, that in fact, let's say the payment. uh, there or with sweden there bomb in israel, it will be divided into two payments, that is, a payment. in sweden, to their exchanger, e. well, it will be digital crowns , for example, a payment from an exchanger in israel to god, it will be numbers there, but between these two payments, which are sort of divided into two parts, it will be like this. well, let's say the digital contract protocol is called cache reservation digital protocol. e bodies. that's basically it. a with such a well, let's say, with such a configuration , the positive side is given that e payments can be implemented quickly safely according to the best course and so on, but they forget to say, in fact, let's talk about the main thing about those, as they say, criteria that can be programmed and set, that is, in essence.

well, speaking about why, that is, if we talk about such a fundamental fundamental difference from svb from non-cash, that is , non-cash is, well, just some current account with zeros and ones. here is every unit. it is actually endowed with methods that are used not only for analyzing and accounting for how this unit is drawn, but also for prescribing conditions. that's why yes that is, you can program, well, let's say. the sectoral regional time section of how this unit will be treated can be programmed there, i don’t know the negative rate, so that people would quickly try to get rid of this money there. that is, in fact, it will be possible right up. uh, when there will be sufficiently developed smart contracts and micropayments to be combined with these very useful tools for the digital economy. that is, it really is. here it is on one side. that's how the positives are highlighted, oh they are

they say, but on the other hand, they are very serious, as if the risks that need to be analyzed by the expert community are these risks. yes management circulation. here is this unit of possibilities. well, let's say, uh, such a software design for this payment unit. that is, if a and an underlined key point, if digitalization is implemented not on the basis of an interesting state, not on the basis of the interests of the general priority of citizens and conservation priorities. that is the social ori. equally the market economy that we have, that is, the risk just leave. that's how you say. and who is the beneficiary, who is behind the scenes of the adoption? there is a risk of coming to the model of corporate digitalization, when it just , well, pretends to close some eyes to these, let's say, vulnerabilities in the central bank and will only talk about positive aspects. very actively participated in the discussion of management adoption. and here is the decision on such

an important issue as the digital currencies of central banks. well, let's take a little while. let's break, after a short pause , we will return to this studio again, while subscribe to our telegram channel. it's called say and don't be silent, and look for all our releases on the youtube channel, belarus is one. war they took you in the village on the fifty- eighth article smells. i know, well, you feel you have arrived at the resort, blow into the forest for firewood

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because the bun has the shape of a boat, it’s only here that they are like this nowhere else, look, the project is stone, paper scissors on belarus 24 tv channel. the program is on air again, say, don’t be silent, and our guest is vitaly demirov, an analyst at the belarusian institute for strategic studies vitaly nu after elon musk, which was already discussed today, there are a number of experts who make predictions. in what areas can neural networks replace a person? let's see artificial intelligence in the future will teach you how to assess damage under an accident and also work in factories. at the same time , people will not stop using neural networks to generate music and depict computers. they can supplement human labor, but will not provide empathy, medicine, art education and social services will remain with

the person, the developers believe. well, what professions will disappear due to digitalization, and what should those who will be left without work do? because not everyone can go in saying, in fact , about this rather difficult topic, here is the topic of the social topic of the labor market of professional competencies, that is , here, well, i would say, i would define such clear, fairly simple criteria, which will be, let's say to set, let's say, these trends, yes, in the labor market, that is , everything that, well, let's say, where a person, let's say , manifests itself as a creative person creating new ones, how do they say new knowledge? well, that is, all these, let's say, skills of the competence of the profession, i mean, they will definitely stay. and you can also one such simple example. here's how that alpha game that is, an example of dexterity. yes , bring it when they take it. well, let's say

white noise is like this. here's a barely visible, pixels in some kind of picture. yes, er, here, and in principle, artificial intelligence is mistaken very often. i mean, he's like, well, naturally. if you teach him that they are there and ignore them. that is, as it were, yes, he prescribes and this shows that in fact he is not studying. he just say by the essence of the execution is prescribed to work in the algorithm. well, not really, uh , algorithms are still not here, but the learning itself here is extremely dependent on what he has already seen. well, i would say this is a complete replacement. that's even in the routine of mechanical labor. while in the near future should not be expected, but nonetheless. well, let's say a number of such simple operations, where, in general, the responsibility of a specialist is assumed, such as there. no, to evaluate some abilities of the subject. well, that is, i mean here about, say , middle managers in banking there the insurance sector. there may be

an accountant and so on. that is, where , after all, uh, well, he emphasized, just the same , where a certain calculator algorithm is applicable when calculating certain ones. uh, let's say processes, then let's say artificial intelligence, but it will be able to cope, of course. uh, in order for this to be, well, some such , uh, fairly autonomous function, that is, he needs. uh, well, in a number of cases, this is sometimes called office process automation or rpa robot process from mtsein, that is, in fact, he needs to say automate and a number of such auxiliary. e, let's say e functions. well, for example, there is a system that, for example, can move in applications of the same rp applications, crm applications, copy, move files there, create or fill out some forms, and then, that is, they can essentially, well, let's say, a number of other such let's say office operations and in this case

, indeed, the mened. middle management, which also make them, that is, let's say these operations. well, in the end, then at the end they make some decisions. here in your in the sphere, as i said, there is the issuance of loans or there is something else insurance, that is, a number of such competencies. maybe, well, let's say leave, if we say, well, they even appear there, for example, instead of tv presenters they use a hologram instead of journalists. artificial intelligence, writes news texts. that is, the process is already going sharply , some still non-standard errors. i even know examples from life where children used the gtp chat. they wrote, say, an essay and so on, and there the characters got confused, there was something else, as they say, there were nuances that they spoke precisely about the quality of understanding the plot, that is, although in general the texts looked like this from the point of view, like the syntax-logical structure of the red expression. it seems to be, as if i read this work, but nonetheless. that's why yes, well, we'll tell you straight,

well, it's impossible to replace it head-on. and what's more, if we talk about enough such mechanistic labor. here we have already decided that creativity and mechanics. yes, here are the criteria that determines, but still, if the mechanics are enough. not like this few skilled and underpaid jobs, there will be no net economic incentive and motivation. uh, well, to replace such specialists, so, most likely, they, too, well, will remain in the labor market. but the middle link, as i said, yes, there and then there is quite exposure, again the question arises. e with unemployment. but then where should people go for you to advise them? where to retrain? in whom? well , in fact, yes, that is , new ones will appear. as they say, specialties and competencies are unconditional. but of course, if to talk about in general, how scientific and technological progress influenced in the past, it seemed to create more new, say , competency jobs, and so on, than it eliminated with

artificial intelligence. as i started, that is , we need to say this clearly to understand what it is all the same. well, let's say, a large layer is here, and the competences of the profession are workers. maybe in the next decade, let's say , it will disappear, and here we are, returning to the first part of the conversation about efficiency and digitalization. if she really will here is such, well, to touch on the key link here, that is, here, as i said, the artificial intelligence of digital currencies. right? as they say, used accepted, this will give, let's say, such an increase, let's say, of the overall economic pie, which can be used through various transport basic incomes, of course, something else, that is, so that a person, let's say, without worrying. uh, even when not busy for a while, he really could perform a key moment, well, creative functions, and in some cases not at all fulfill and earn some decent threshold from that basic income. oh

, cars with autopilots are being developed there. yes , more precisely, well, supposedly without human control, but still, at the same time, a person is present in the cabin. eh, there are still some errors. as far as i understand, autopilot will be the fifth. uh, as they say, well, fully automated and, in principle, excludes. yes, here is the manual intervention of the driver, but in fact here, uh, well, let's say you can solve a complex of such auxiliary here, and, well, there is a covering of some kind of canvas. hmm . well, here are other processes and systems that control traffic in general. that is , how the signal will pass. yes, from one machine to another, the quality of sensors and so on here, well, as it were, a lot of everything is tied up, but in fact, these are the technical aspects. they are less important here than those aspects, well ethical legal

actually. which arises how? well, when in the case, well, let's say those mistakes that can still be. who and to what extent will answer. well, that is, in the case of, say, a fatal accident yes, and look for where the culprit is, who will be either, as a problem, the trolley. here is the choice. there is a child, a grandmother , there. two people or 10 people, that is , relatively speaking, when the system will need to make a decision. well, obviously, it must be programmed somehow, therefore. well, this is actually a very serious key problem. well, if you are talking about the fact that programmers, as the main specialists in the process of digitalization and the transition to digital economy, and there is an opinion that they will also disappear soon and that they will not be needed, that they will be replaced in russia by these here, in principle, everything is the same, that is, just like with these essays for children, that is, writing quality code soon, a gtp type system will not be able to, so soon. well

, another aspect of improvisation. i would like to discuss e not all countries have equal opportunities. and this is the most digitalization. it will widen the gap between poor countries and rich ones. well, it will definitely increase. if it will be, well, let's say this. uh, conditional international. well, here's how it used to be. yes, this is how the global division of labor is such a conditional specialization. that is, somewhere there are financial industrial centers, somewhere raw materials. so are the numbers. and if there is such a distribution that someone will develop those areas, approaches and services , which, well, let's say, there is not enough economic efficiency, and this complex positive impact on the economy , those countries will, of course, lag behind, but naturally, there will be cheap internet, then the servants access, in fact. this is such a mechanism of attraction. yes, here are the people, although, in fact, it is clear that these services.

if this also costs serious money, so if we talk about developing countries, of course there, here, as we said, before this stage, informatization of centralization, that is, with regard to the speed of speed and security of the provision of services, even developing countries with this will more and more. not normal, but just the same as for the development of artificial intelligence and e correct i will emphasize the development of cvcb, that is , so that they generally sew together all the institutions there, technical processes of business processes in such a, uh, let's say, the right way to improve the efficiency of the economy. that is , those who will do this, that is, those countries will certainly be rich and prosperous, if you literally e clearly specify. this is how they go often. here, the association is the reasoning that digitalization is here, well , something related to the plan. yes, that is the plan. just digital, really. now if we talk about well, what is a plan is a set of some directives

, uh, management instructions, yes, government agencies, which are formulated after the data is collected , some target indicators are calculated and then these directives are brought hmm to specific economic entities there , but, nevertheless, but i don’t know there, the accuracy is the relevance of information, there is a temporary lacquer that lacquer from data collection to analytics and then some kind of reverse control action. he is still the key here. if we talk about the digital plan, then in fact it is no longer a directive. in general, this is exactly the set of contracts concluded in digital form. only in the space of simulation, first and after, say, each of the subjects of the drivers agrees with those criteria, it is worth the objective function, which , let's say, is given, he signs this contract and this contract actually becomes from a simulation one. that is, here we are just talking about the model when all

participants of equal rights participate in the development of a plan, when the plan is being made, not in any one center and there is an application platform, but it is implemented collectively distributed, based on a similar approach, and here. and if, in general, e countries are adopted, here is a similar approach to digitalization, then this will not be expected. let's say the elimination of the control link. it will be convenient for , say, some integration processes, where it is extremely critical and important that, uh, the goal-setting function remains, let's say , in place and hmm well, it was implemented. well, let's say a certain mechanism of fair consensus, so here are the countries that are about to line up the numbers correctly. in this vein, here. well, i think that will not achieve such a serious economic success and prosperity is fine final. i think, thank you vitaly for coming to our studio, and today we discussed with you the issues of our near future. we hope that

our viewers will also understand such concepts as the digital economy and digitalization. neural networks have become closer and clearer. we are tatyana shcherbina svetlana smolonskaya. we say goodbye to you until the next ether. goodbye. goodbye. and now speak vitaly demirov, you are mastering creative professions, digital skills artificial intelligence will definitely not get to them in the near future and you will not be afraid of artificial intelligence itself of those people who are trying to misuse it .

propose specific actions to make decisions and implement agreements. and how does it happen that the knife of this chair is illusory much more than four, whether we need it or not. perhaps this is the emotional step that is being sought from us. see logic in action and find answers to disputable fake questions. be careful of ridiculous opinions and excuses and remember that politics is very tricky. but it's very interesting. i am categorically glad that we are now forcing ourselves to be respected on the belarus 24 channel

. i’ll tell you about the main thing by this hour on the air of the noon news. i am vladislav gundar. hello, look at the releases of rocket troops and artillery make a march of more than 300 kilometers to designated areas.