BELARUSTV — broadcast 20260806 191500 UTC 605 transcript segments Google Cloud Speech-to-Text API (Chirp) + Gemini 2.5 Flash Non-Thinking Data courtesy of The GDELT Project (https://www.gdeltproject.org/), from the Internet Archive TV News Archive. Machine transcription. Treat it as a searchable index of what was broadcast, not a verbatim quotation record. [00:00:00] The news of vulnerabilities is related to the fact that we, [00:00:03] as humans, begin to trust it excessively. [00:00:06] Technologies, programs based on artificial intelligence, [00:00:10] become an authority for us. That is, people [00:00:13] now think that AI does absolutely everything, [00:00:16] even tomatoes. There is such a deficit of trust. Well, these [00:00:19] are all wave-like processes. It has a clear [00:00:23] pattern, yes, and it will not jump higher, but [00:00:26] a person can, if he doesn't get lazy, GPTM writes. [00:00:30] I made a mistake, next time I'll be more careful, that is, it turns out, artificial intelligence also [00:00:33] learns, well, let's say, it wouldn't have happened without natural intelligence, [00:00:37] personnel, [00:00:39] any accounting is still working with [00:00:43] a software product, accounting, and it wouldn't be bad [00:00:46] to go and learn, knowledge is power, but natural intelligence [00:00:50] critical thinking will always be in the first [00:00:52] place. [00:01:11] Hello, you're watching "Say, Don't Be Silent." In the studio are Tatyana Shcherbina and [00:01:15] Victoria Popova. And today our guest is Ivan Zharkov, analyst at the Belarusian Institute [00:01:18] for Strategic Studies. Good afternoon. [00:01:22] Hello. Hello. You are not only an analyst, you are an expert in the field [00:01:25] of artificial intelligence technologies. This is what we... [00:02:39] it's also difficult to do turnkey right away, yes, that is, you need [00:02:42] to, first, gradually acquire and [00:02:45] integrate these gadgets, but on the other hand, [00:02:49] it mostly depends on the user, on the person, that is, the person [00:02:53] is still the user of artificial intelligence, [00:02:57] everything that is based on it, and everything comes from this. That is, [00:03:01] in our work, it's the same thing, that is, technology doesn't dictate how [00:03:04] a person should work, but a person integrates technology into [00:03:08] their work, you didn't immediately rush to buy everything that's [00:03:12] new on the market, you gradually [00:03:15] take a look, we act consistently, we act [00:03:18] smartly, in a Belarusian way, well, as a press secretary, I'm [00:03:21] interested in asking you about media monitoring, because [00:03:24] this is quite a routine job, [00:03:27] you had to do it manually in... [00:04:01] This is still, yes, it all depends on how you explain the task, artificial [00:04:04] intelligence, everything related to these technologies, [00:04:07] they, uh, the more precisely the task is set, [00:04:11] and this is also a human skill, prompt engineering, everything connected with this, [00:04:14] the more precisely the task is set, the more [00:04:18] relevant the result will be. Accordingly, if [00:04:21] it is not explicitly stated that fresh information [00:04:24] or information from a certain time period is needed, then of course the machine [00:04:28] might, well, cheat. And be lazy. Well, [00:04:31] tell us your prompt for media monitoring, [00:04:35] what helps you in your work, [00:04:38] which one? It all comes from the task, imagine that you are [00:04:41] a press secretary with 20 years of experience, your [00:04:44] task is to compile such and such a digest according to [00:04:48] such and such a structure, where in the first section there will be [00:04:51] such and such, in the second such and such, each section no [00:04:55] more than 200-300 words, the main [00:04:59] part you... the main part as a sample uses such and such, that is, [00:05:03] all these prompts, these tips, they can [00:05:06] stretch for several pages, and this is generally a normal [00:05:09] situation, and even with such a precise task, you say that it is not yet [00:05:13] ideal, right? Why? Well, it should [00:05:16] also be noted that with each time [00:05:20] the result becomes more and more accurate, I would pay attention specifically to [00:05:24] the dynamics of improvement, that is, it turns out, artificial intelligence also [00:05:27] learns, of course, artificial intelligence learns, and even, well, [00:05:31] I wouldn't take it so globally, yes, yes, this is really the most [00:05:35] important part of this interaction, but [00:05:38] the technologies themselves are improving. [00:06:42] separately, and I would not consider [00:06:45] vulnerability. It's a program, it's a machine, [00:06:49] it's an algorithm, no matter what we call it, but a human still [00:06:52] uses it. At this stage, still, [00:06:55] perhaps, thank [00:06:57] God, there is no such thing as artificial intelligence interacting with artificial intelligence [00:07:01] completely detached from human controlling [00:07:05] influence, this is a separate subject for [00:07:08] discussion, a separate subject for concern, but still at this stage... [00:07:42] without being tied to some problem it doesn't exist, that is, analysts [00:07:46] don't write out of their own scientific interest [00:07:50] or just out of curiosity, there is a task, [00:07:53] there is its solution in the form of preparing some [00:07:56] analytical products, and any conclusion must be [00:08:00] substantiated, technology, in principle, any technology, it [00:08:03] disciplines, yes and [00:08:06] the use of technology, it allows [00:08:09] to avoid, so to speak, such a human... [00:09:12] which we worked on manually and manually [00:09:15] tested its effectiveness, to automate, [00:09:18] again, on our own data, which we continue. And have you noticed that you are still [00:09:22] working on someone else's platform, that these chats [00:09:25] pursue their own line, well, because they are [00:09:28] fed on American [00:09:31] data, not our data, there is always an information [00:09:35] bomb there, in any answer that is not [00:09:39] fed by us, indeed, not on our ideology. [00:10:55] you can and should, well, bring the raw material into [00:10:58] a form that is [00:11:01] accessible, that is understandable to the decision-maker, [00:11:04] naturally, we simply have the opportunity to process this in an automatic mode, [00:11:08] again, locally with us, [00:11:11] but the certificate that is [00:11:15] obtained at the output, the sociologist, analyst, [00:11:18] naturally, selectively rechecks, are there such [00:11:21] quotes, for example, and is the quantity really such? [00:11:55] And you work with specific [00:11:57] government tasks, how do you avoid, that is, what [00:12:01] grids do you put on your information that you feed to [00:12:04] the neural network, if this information is closed? We do not [00:12:07] work with analogues like GPT, [00:12:11] DIP, this is not that format and that approach. [00:12:15] The technology, consists in the fact [00:12:18] that the model, which is deployed locally [00:12:22] with us, it, firstly, does not [00:12:26] remember any context, secondly, it [00:12:29] does not remember at all, no digital trace is left, [00:12:32] well, it is in our isolated contour, [00:12:35] well, and these, so we understand that this is [00:12:39] a local network, yes, yes, the task [00:12:42] is somewhat different, you see, that is, tasks [00:12:46] related to artificial intelligence, they are not limited only to chat GPT and [00:12:49] Deepfake, they [00:12:52] are much, the technology itself is... in the near [00:13:56] future, that is, this will be the tool [00:13:59] that any analyst can use in their work, [00:14:03] of course, they will then need to double-check it, but some [00:14:06] raw material, some project they [00:14:10] will still have. Tell me about the local network, is it [00:14:14] a Belarusian development? We interact with Belarusian [00:14:17] developers and we have been testing and [00:14:20] checking this development for [00:14:23] more than a year and... it has found its [00:14:26] application. Let me ask [00:14:29] another personal question, do you feel [00:14:32] the influence of artificial [00:14:36] intelligence? Does it structure you personally, your thoughts, the way you approach [00:14:40] work? Absolutely, it structures and [00:14:43] also makes you lazy, I don't know how to say [00:14:46] it correctly, that is, for example, business [00:14:50] correspondence significantly [00:14:53] simplifies it, that is... Well, of course, but look, [00:14:57] time, yes, it demands speed from us, but the workload hasn't decreased, [00:15:00] like with that washing machine, because at home you still don't have time to do anything, [00:15:04] because, well, there are challenges, answers to challenges, yes, [00:15:08] but I would say that the vulnerability of artificial [00:15:11] intelligence lies in the limit [00:15:14] of information it currently possesses, that is, of course it [00:15:18] is well-trained, but there is room to grow, let's say, yes, that is, it [00:15:22] seems to me that after all artificial intelligence itself. [00:15:48] at what speed all this is developing, at what speed the results [00:15:52] of the work of everything related to artificial intelligence are improving, [00:15:55] it allows us to say that our [00:15:58] expectations will soon be [00:16:01] approximately equal to what will be obtained in [00:16:04] the end, [00:16:06] here... I would rather pay attention to [00:16:10] the training of the specialist who [00:16:13] works with these tools. Let's discuss this important topic [00:16:17] in the next part, the training of specialists, and now [00:16:20] let's take a short break. [00:19:18] This is "Say, Don't Be Silent" again. Today our guest is Ivan [00:19:21] Zharkov, an analyst at the Belarusian Institute for Strategic Studies. [00:19:24] Let's talk a little about fakes and information attacks, [00:19:28] is this really a problem or do we already distinguish [00:19:31] real information, real [00:19:34] from. it's a problem, [00:20:07] it's not going anywhere, and indeed, [00:20:11] uh, technologies are usually mastered faster [00:20:15] by, let's say, the bad guys, yes, [00:20:18] and, uh, technologies for generating [00:20:22] high-quality video, [00:20:25] quite plausible info-occasions using [00:20:28] artificial intelligence, well, have moved to a qualitatively new level, [00:20:31] here the classic [00:20:34] recipes come to the forefront again, that is, it is [00:20:38] education, enlightenment [00:20:42] of people, uh, [00:20:44] how to recognize, and most importantly, how to doubt [00:20:48] in time whether it is true, [00:20:52] and, let's say, [00:20:56] only a human, here it's even about [00:20:59] scammers, that is, [00:21:02] people are still falling for their tricks, their [00:21:05] bait, this all leads to large financial [00:21:09] losses for them, and such a large educational effort [00:21:12] by everyone involved, communication operators, and [00:21:16] banks, and law enforcement, well... will start [00:23:21] doubting the truthfulness, the accuracy of this information, or [00:23:24] do you think this won't happen? Well, [00:23:27] as far as I know, there was news somewhere [00:23:31] relatively recently that, in principle, [00:23:33] content on the Internet, I don't know how they calculated it, but it has already [00:23:37] exceeded manually created [00:23:39] content, yes, in fact, what do editorial offices fight for? For [00:23:43] the readership, for the number [00:23:45] of views, for different algorithms [00:23:48] to pick up an article and include it in [00:23:51] a selection, and, well, in principle, only [00:23:54] the reader can indirectly [00:23:58] influence this, it seems to me, that is, a deficit of trust, accordingly, there [00:24:02] he clicked a button, no longer show from this resource, [00:24:06] accordingly, if we see and [00:24:10] the editorial offices see that [00:24:12] there is too much [00:24:15] generation, then this will indeed, [00:24:18] probably, push [00:24:21] the editorial office, [00:24:24] spur on journalists so that they, well, do it manually. Regarding [00:24:27] verification, well, we also have, well, [00:24:31] fact-checking with the help of artificial intelligence, well, this is [00:24:35] a rather hopeless endeavor, well, because you yourself say [00:24:38] that you then recheck what it provides, yes, but [00:24:41] again, we have slightly reversed it, we use artificial intelligence for [00:24:44] fact-checking, but on the other hand, that is, we have. [00:24:48] the analyst prepares [00:24:50] a block of information for some document, [00:24:54] and algorithms [00:24:57] nitpick at every word, that is, [00:24:59] after uploading, you click a button, and [00:25:03] it returns a checklist, "Are you sure [00:25:06] this was said by so-and-so? Are you sure [00:25:09] he said it there? Are you sure he holds [00:25:13] such-and-such a position? And are you sure that the logical connection between [00:25:16] such-and-such an entity and such-and-such an entity is present?" [00:25:20] Yes, the neural network can generate a fairly large number of silly [00:25:24] questions, but it still minimizes [00:25:27] the risks of inaccurate information at the output. [00:25:31] The analyst, scanning this checklist, well, maybe his [00:25:35] eye will catch something, and he will indeed double-check, that is, [00:25:38] well, that's how we turned fact-checking around. I'll tell you, [00:25:42] regarding trusting artificial intelligence, I myself encountered a situation [00:25:46] when I needed to find out which [00:25:48] precinct I belonged to in my polyclinic. I ask artificial [00:25:52] intelligence, and it tells me that my address has absolutely no [00:25:55] relation to this polyclinic, that I belong to a completely different [00:25:59] district. I ask again, there, [00:26:03] with a different angle, it writes to me that in this building there are [00:26:06] only administrative institutions. I [00:26:09] say, in this building there are 98 apartments. Then it says: "Oh, [00:26:13] excuse me, I made a mistake," indeed, and then, that is, [00:26:16] after the fifth or sixth attempt, it finally gave me the information [00:26:20] I was looking for. There are many such stories, [00:26:23] and, well, maybe this is not the most dramatic. There are [00:26:26] stories where people, hoping for a visa-free stay in some country, [00:26:30] arrive, and it turns out that... it says, "Sorry, [00:26:33] I made a mistake, next time I'll be more careful." I'm not even talking about [00:26:36] mushroom poisoning, well, that is, this is, [00:26:40] well, risking like that, by no means, rechecking [00:26:44] must be done, and, well, after all, [00:26:47] you see, what guarantees that artificial intelligence will eventually give me [00:26:51] the correct answer, if it made six mistakes before? There are no [00:26:55] guarantees, that is, you always have to rely only [00:26:58] on yourself, it turns out, I recommend, right? [00:27:02] Can artificial intelligence today, autonomously, without [00:27:06] human command, design and launch a large-scale information [00:27:09] attack? Since we were talking about fakes? I think [00:27:12] it can, well, look, there are a lot of agency stories here, what [00:27:16] is that? That's when a process [00:27:20] is built, a sequence [00:27:22] of actions, and, well, that is, for example, if we are talking about an information [00:27:26] attack, it is broken down into some [00:27:29] small sequential steps and... [00:29:02] well, let's say, the collapse of an information occasion, there [00:29:05] an information wave, it's clear where it is, there is the original source, how [00:29:09] it then lived, spread in time, that is, [00:29:12] an analyst with the help of technology can track such quantitative, [00:29:16] for example, indicators, but still, first [00:29:19] of all, he must form some hypothesis [00:29:22] for himself, the algorithm, well, let's [00:29:26] say, it's unlikely that it will immediately [00:29:29] offer him such-and-such... [00:30:02] easily detectable by such technical tools, it's immediately [00:30:05] clear, well, that is, where the roots are. And you said [00:30:09] a good phrase, that technologies, of course, are first [00:30:12] picked up by the bad guys, why did that happen, is there [00:30:15] an explanation? Well, it's like with viruses and antiviruses, yes, that [00:30:19] is, this is, perhaps, one could philosophize [00:30:22] why this happens, [00:30:25] and response systems, they by [00:30:29] their nature react, yes? [00:30:32] That is, of course, one can talk about the need to work proactively, but [00:30:36] still, even when you work [00:30:39] proactively, you generate some [00:30:42] potential threat, that is, you still start by [00:30:46] generating some potentially [00:30:49] dangerous situation, or how this technology can be used [00:30:52] to harm, that is, even the thought process [00:30:55] is structured in such a way, well, it's a kind of intellectual challenge, I [00:30:59] understand, yes and yes. And there is also the organizational side [00:31:02] of the issue, well, the bad guys are usually more flexible, so to speak, [00:31:06] that is, they are not bound by [00:31:10] procedures. [00:31:15] by strict procedures. And tell me, what if we go further [00:31:18] with this question, that the machine itself generates some [00:31:22] information attacks, do you already, just in case, speak [00:31:25] politely with artificial intelligence, what do you [00:31:28] generally think about the prospect of a robot uprising? I'm an optimist in [00:31:32] this regard and even from a mathematical point [00:31:36] of view it's profitable to be an optimist, because [00:31:39] there's a chance you'll be right, because if you're [00:31:42] wrong, well, it doesn't matter anymore. [00:33:45] monitoring and working with neural networks, for what? To set [00:33:48] tasks, to understand what can be automated [00:33:51] and what cannot be automated, [00:33:54] how much time an analyst might need for this [00:33:58] task and generally how to build these processes, this is very [00:34:01] important, because there is indeed some, well, [00:34:04] barrier, maybe related, well, to [00:34:07] life experience or, you know, there's a famous [00:34:11] meme where the chief accountant is depicted [00:34:15] by an actress, she says, now this youth does everything through chat [00:34:18] GPT, everyone laughs, everyone is happy, but [00:34:22] in reality, this is really already a generational gap, and she [00:34:25] would do well to go and get trained, courses [00:34:29] everyone mentally shrinks, where to get extra-budgetary [00:34:32] funds, but you just said that it [00:34:36] can be free, that is, take and upload [00:34:39] any network, yes, a neural network to your computer, it [00:34:43] will train you. [00:36:15] this is really important, I even remember the time [00:36:17] when - I remember, we were taught how to go online, [00:36:20] uh-huh, at work, then it was a direct process, [00:36:24] well, Tanya, I think it's the same now, just in terms of... literacy, [00:36:58] financial literacy, exactly the same now with [00:37:01] information technologies, that is, a person at their workplace [00:37:05] still needs to understand more or less how databases [00:37:08] work, because they probably have their own database, I'm not even talking about the fact [00:37:12] that there are specialized software [00:37:14] products that are now being implemented at the legislative level, there is [00:37:18] accounting, yes, if we are talking about accountants, [00:37:21] HR, [00:37:23] any accounting, it is still working with... [00:38:28] Well, the surest way to protect yourself is to truly go nowhere, [00:38:31] that is, not to use a bank card, [00:38:34] naturally, traces remain everywhere, but these are already the realities [00:38:38] of our, I just want some of the [00:38:42] audience to understand that this has already happened, this is already [00:38:45] happening to us, but at the same time, there's another point, yes, we [00:38:49] remember, some time ago, the game [00:38:52] Pokémon was popular, yes, when people photographed themselves looking [00:38:55] for it there. [00:39:57] for whom this information is important, they should have done this work, the user [00:40:01] owes nothing, in my opinion, he just wanted [00:40:04] to take a picture, at least, well, for example, when [00:40:08] we implement a certain [00:40:11] software product, we proceed from the fact that the user truly [00:40:14] owes nothing, and we must teach him, [00:40:17] warn him, show him some potential [00:40:20] opportunities, risks, that is, this is [00:40:23] normal practice, it is necessary to start today. [00:41:27] as they say, no one has canceled different methods of cognition, [00:41:31] therefore, the journalistic community also does a lot of work, [00:41:34] showing various such [00:41:38] examples of how... what can lead to what, well, [00:41:42] our people are smart [00:41:44] and a distinctive feature of Belarusians [00:41:47] is that we [00:41:50] are capable of making [00:41:53] such conclusions, [00:41:55] and despite the fact that such a wave of pressure [00:41:59] is happening, well, we [00:42:02] are beginning, let's say, in my opinion, to look more [00:42:06] critically and more... well, [00:42:10] constructively at various things. Sometimes I feel [00:42:14] a kind of nostalgia for the times when, well, let's [00:42:17] say, before 2020, [00:42:21] there were other news, [00:42:25] in principle, the dynamics weren't like that, [00:42:29] and I remember how it was also [00:42:32] criticized, well, ridiculed at the very [00:42:35] least, yes, when [00:42:39] the vaccine. [00:43:40] your own abilities, then also pay attention, well, as [00:43:43] it were, at the dawn, when, well, I, for example, [00:43:47] was just starting out in the analytical profession, [00:43:50] a document of 10 pages, it [00:43:54] was, in principle, well, [00:43:57] perceived quite normally. [00:43:59] Now we have probably gone down [00:44:02] the path of, well, like these messages in Telegram, this [00:44:06] defocusing, it, well, this is my hypothesis. It led to the fact [00:44:10] that it's generally difficult to concentrate [00:44:14] on a lot of text, yes, on a large document, this [00:44:17] ten-page one, yes, the ten-page [00:44:21] format, for example, is reduced to two pages, to [00:44:24] three pages, this is also interesting how all this [00:44:28] affects us, our brains have just completely changed, yes, [00:44:31] yes, well, you can experiment on vacation and [00:44:35] completely give up social networks, and this is also [00:44:38] ... well, I experimented, did you read [00:44:42] Tolstoy's War and Peace? Well, [00:44:45] as an option, yes, yes, yes, this is indeed [00:44:48] a good, useful exercise to concentrate. Now we will take a short [00:44:52] break, in the next part of our program we will ask if our children [00:44:56] will unlearn to think independently. We'll be back shortly. [00:45:13] Back on "Say, Don't Be Silent," we have Ivan Zharkov, an analyst at the Belarusian [00:45:16] Institute for Strategic Studies, as our guest. [00:45:19] Starting from the new academic year, schoolchildren in Belarus will begin [00:45:23] to study artificial intelligence within the framework of computer science lessons. This was [00:45:26] reported by the Ministry of Education. They will be taught [00:45:29] to generate and process content through AI for tasks in [00:45:33] physics, mathematics, and biology. So, [00:45:36] tell me, Ivan, won't we get the opposite effect when children, instead [00:45:40] of real learning, just transfer their homework, the completion of homework [00:45:44] assignments, to the shoulders of neural networks? How [00:45:46] do we maintain this balance between technologies and natural [00:45:50] thinking? I saw this news and I saw a large [00:45:53] number of comments about the concern [00:45:57] that these [00:46:00] courses or subjects might become [00:46:04] a precursor to children indeed doing all their [00:46:07] homework with the help of artificial intelligence. On the other [00:46:10] hand, the absence of these [00:46:13] programs and courses, well, will certainly not [00:46:17] be the reason why children will not use these [00:46:20] services, they will, but these courses, in my opinion, [00:46:24] they, well, you can't prevent [00:46:27] an exclamation, yes, they will still [00:46:30] have an effect, they will teach how [00:46:34] to use it correctly, they will teach [00:46:37] how to double-check, they will teach and [00:46:40] will probably still convey the idea that critical thinking [00:46:43] is important, they will probably teach how to dose, [00:46:47] of course, they will use it and will [00:46:50] abuse, here it is necessary... both to the parent community and [00:46:54] to the pedagogical community, to [00:46:56] somehow get involved in this process, in my opinion, [00:47:00] I, as a parent, also understand this, [00:47:03] but I repeat, the absence, well, [00:47:07] it would even be strange if in computer science, children, high school students, [00:47:10] will not study and get acquainted with artificial intelligence and neural networks, that is, well, this [00:47:14] is really, of course, I agree with you, yes, well, today any [00:47:18] basic mobile phone is already [00:47:20] built-in. [00:48:23] developed and created a scientific [00:48:26] collective created a framework [00:48:29] law in the vastness of the CIS, for [00:48:32] regulating technologies based on artificial intelligence, that is, well, the [00:48:36] competence of studying regulatory frameworks and [00:48:39] creating among Belarusians [00:48:41] is present, in medicine [00:48:44] there are also scientific research [00:48:48] institutes that implement them. [00:48:52] based on [00:48:55] computer vision, information [00:48:58] processing takes place, that is, this [00:49:00] is already either [00:49:03] an industrial sample, or [00:49:06] well, our regulatory framework is still a [00:49:10] bit behind, so to speak, but in practice [00:49:14] these technologies are already used in [00:49:17] medicine, in mechanical engineering, [00:49:20] in precision agriculture. [00:49:22] Gradually, each sphere, [00:49:26] without, again, any rushing, but looking for [00:49:29] and implementing these applied [00:49:33] technologies, well, yes, and we somehow said that [00:49:36] Belarus is an IT country for a very long time, today, what can we say, [00:49:40] do we preserve this potential? [00:49:43] Of course, we preserve it, the intellectual component of our [00:49:47] citizens, the educational [00:49:49] base, the High-Tech Park. This [00:49:52] infrastructure, conditions are created, [00:49:55] development is going on, yes, there are some external [00:49:59] circumstances that, well, let's say, may [00:50:02] not allow us to make noise in [00:50:05] all locations, in all geographies, at all [00:50:09] world exhibitions and forums, yes, well, [00:50:11] these are political moments, development, [00:50:15] intellect, it's all preserved, it's [00:50:18] present, it will definitely give and gives its. [00:51:54] and there is much more data, they change [00:51:58] much more often, and the [00:52:01] analyst needs to be able not to get lost in this data. [00:52:05] have the opportunity to manage them [00:52:08] correctly, well, and communication [00:52:11] things, soft skills, so-called, the [00:52:14] human face, the human appearance, it [00:52:17] will not go anywhere, that is, to be able [00:52:21] to correctly interpret, convey, well, let's say, if we [00:52:24] are talking about artificial intelligence, then emotional intelligence [00:52:27] is also a very important component, because [00:52:31] well, no one will want to work, so to speak, with a robot, with a human... [00:53:36] Dear viewers, I would like to wish everyone [00:53:39] to consciously and without fear immerse themselves in artificial [00:53:43] intelligence technologies, knowledge is power, [00:53:46] but natural intelligence and critical thinking [00:53:49] will always be in the first place. Ivan, [00:53:52] please be kind, leave us, please, your wishes and [00:53:55] autograph. [00:54:11] Let AI stand for interesting ideas. [00:54:50] The President is not a person, he is a machine. Alexander Grigorievich himself [00:54:53] set himself the task of being this machine for promoting [00:54:57] national interests, he himself does not allow himself to relax for a [00:55:01] second, being reasonably confident that he [00:55:04] does not have the right to... since the nation trusted him with power. [00:55:08] I remind you, IPSO is a complex of systematic [00:55:11] actions aimed at targeted manipulation [00:55:15] of public opinion, emotions, and human behavior. [00:55:18] All power in Kyiv, according to feelings, has long ceased to be entirely Ukraine, but one [00:55:22] big Tsipsaina. The main goal of such operations is to sow panic, [00:55:26] undermine trust in state institutions or change [00:55:29] public opinion towards some important events. [00:55:33] Remember, information hygiene. [00:55:35] Protection from propaganda is not only the task of propaganda, [00:55:38] the government and Lukashenka, it is also and even primarily your [00:55:42] own task: quite precisely, in difficult times for the country, [00:55:46] Lukashenka will be in the country, and if necessary, he will definitely be next [00:55:49] to his people, and if it gets really hot, then with weapons in hand, [00:55:53] which has already been proven, Igor Turay's author's project [00:55:57] propaganda, watch on TV channel Belarus [00:58:28] Belarus and Algeria can agree on the implementation of many projects. Alexander [00:58:32] Lukashenka stated this at a meeting with the Minister of Foreign Affairs [00:58:35] of Algeria, Ahmed Attaf. The President also assessed the current [00:58:39] level of relations between Minsk and Algeria. The Head of State [00:58:42] noted that he was impressed by the meeting with the President of this country, [00:58:46] which took place at the end of last year. [00:59:18] The basis of this conviction of mine is [00:59:21] that we are able to do [00:59:24] absolutely everything that today, well, maybe [00:59:27] tomorrow, Algeria will need. Moreover, [00:59:31] Mr. Minister, we agreed that [00:59:35] there are a number of problems, we came up with [00:59:39] a number of concrete projects that we can [00:59:42] implement already today in [00:59:45] cooperation with your states. I will not [00:59:49] list these projects, you know them well, [00:59:52] and I would like these projects to [00:59:55] gain more acceleration in the course of our [00:59:59] agreements with Algeria. On August [01:00:02] 6, Belarus also celebrates the Day of Railway Troops. The President congratulated [01:00:05] the personnel and veterans on their professional holiday. Alexander [01:00:09] Lukashenka noted that today, as part of the transport troops, Belarusian [01:00:12] railway soldiers continue the relay of courage of the [01:00:16] generation of winners with honor, successfully mastering new types of weapons and [01:00:19] equipment, constantly improving the system of transport support for the [01:00:22] armed forces and civilian infrastructure. The Head of [01:00:26] State thanked the military railway workers for their service, wished them [01:00:30] good health, peace, happiness, prosperity, and new successes for the [01:00:33] benefit of their native Belarus. In [01:00:36] Belarus, certain provisions of the law on amending laws [01:00:40] on issues of state dactyloscopic registration came into force. The main [01:00:43] innovation concerns the procedure for staying in the border zone and... [01:00:47] strip. Now, to confirm identity, one can use not [01:00:51] only a passport, but also a number of other documents, including pension [01:00:54] certificates, disability certificates, student cards, and student [01:00:57] tickets. In addition, the list of cases where [01:01:01] citizens and organizations need to obtain permission for [01:01:04] economic and other activities in the border zone has been reduced, [01:01:07] and the procedure for approving certain works has been simplified. The changes [01:01:10] are designed to make visiting border areas more convenient, while maintaining [01:01:14] the necessary level of border security. [01:01:18] In the Council of the Republic, those who made a special contribution to the organization of the project [01:01:22] "Train of Memory" and the thirteenth forum of regions of Belarus and Russia were honored. Honorary [01:01:26] certificates and letters of gratitude from the Chairman of the Council of the Republic, as well as commemorative [01:01:30] medals, were awarded to 35 people. These are representatives of state bodies, [01:01:33] enterprises, and organizations. The scale of the work done is [01:01:36] proven by figures. The forum of regions was held at the highest [01:01:40] level. Over 200 contracts were signed. In total, about [01:01:44] 1,600 people took part in the forum events. [01:01:47] It is a great honor for us to host such a significant event, [01:01:50] it is doubly significant for us, because [01:01:54] cooperation with Russian regions is key for us. [01:01:58] The main direction of export of our company is still [01:02:01] the Russian Federation, so preparations took several [01:02:04] months, we approached this event very responsibly, [01:02:08] well, I'm glad that, in [01:02:10] principle, everyone was satisfied with what they saw [01:02:14] and that my team, uh... [01:02:17] Our enterprise provided good working conditions for two sections of the [01:02:21] forum. The "Train of Memory" project brought together 200 participants from [01:02:24] 18 countries. In 16 days, the guys visited 13 cities [01:02:28] of the Union State. The Ministry of Education of the Republic of Belarus [01:02:32] organized a large, serious work to select the best of the [01:02:35] best representatives of our country to participate in the "Train of Memory" project. [01:02:39] It is worth noting that this year, 12 [01:02:42] thousand tenth-grade students would have liked to go on this [01:02:46] unforgettable journey, trip, project, [01:02:50] but the 57 best people were lucky, [01:02:53] these are guys who achieved high results in educational activities, in [01:02:57] search activities, showed themselves at various... levels, [01:03:00] passed the republican competition, "I am a patriot [01:03:04] of my country." Such union projects strengthen the economy, connect the cities [01:03:07] of the Union State, and unite peoples. [01:03:11] The traditional meeting of student detachments of Minsk region brought together [01:03:14] more than 100 fighters from different districts of Zaslavl. The event became a significant [01:03:18] point of the work season and a platform for exchanging experience, strengthening [01:03:22] team interaction, and developing the creative potential [01:03:25] of the participants. The program was rich and included several key [01:03:28] activities. Traditionally, the large-scale meeting takes place in an interactive [01:03:32] format: quests, quizzes, disco. I am from Kletsk [01:03:35] district, and we directly have guys working in [01:03:38] agricultural student detachments. This year, we [01:03:41] also launched for the first time an ecological student detachment based [01:03:45] on housing and communal services, but the main mass are [01:03:48] agricultural student detachments. At the moment, we have already [01:03:51] employed 420 people, and by [01:03:55] the end of the summer, we plan that we will have 500 [01:03:58] people. Holidays. In summer camps, this is an opportunity to spend [01:04:01] time as usefully as possible. In Vitebsk region, for children who [01:04:05] are interested in journalism, a media shift was organized. This is an introduction to [01:04:09] the profession in an interactive format. The program included workshops on [01:04:12] video shooting, editing, and working with neural networks, as well as meetings with [01:04:16] experienced journalists and bloggers. During this period, we [01:04:19] can identify the most talented children with whom we will work [01:04:22] starting in September in the media laboratory of Vitebsk region. I have great ambitions [01:04:26] for this shift, I also believe that the children are not only. [01:05:00] real Belarusians, thank you,