Alexander Vityaz is an iconic figure in the IT community. He headed the CEB (Electronic Business Center) for 17 years.
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Screenshot from the video on the YouTube channel “Big Fish with Alexander Kolb”
Corezoid's monetization models are SaaS andOnPremise, modern and understandable for business - subscription or purchase of a license to use the software. Corezoid Inc.'s clients include: large banks, retail chains and international corporations. Although a private entrepreneur can also use Corezoid, for example, to create a chat bot. Actually, we were going to talk specifically about chatbots, but Alexander Vityaz’s horizons and vision are so broad (for example, he is sure that everything in the world can be described using actor graphs, that is, building and counting connections between all elements in the system, about this he writes the monograph “Code of Actors”) that the conversation predictably covered broader topics - from changes in the market for programmers with the advent of AI and voice interfaces in banking applications to the low autonomy of augmented reality glasses and the onset of energy communism.
gg: How can companies benefit from chatbots?
Alexander Vityaz:I will come from the joker - chat bots as a separate typesoftware does not exist. What is called a chatbot in everyday life is an application that has a "front" in the chat. The essential part of any application is the "back" and "middle", the logic and architecture are located there. If you have the first and second, you have everything in order to connect any "front" (or several at the same time). For example, if you are the best at calculating sin, then on which fronts x is entered and the result of sin (x) is output is not important, this is solely the client's preference. Ideally, the client should be able to seamlessly travel between different fronts
A chatbot is a "front", under the hood of which"middle" and "backend". This is what the client interacts with. If you correctly design what is under the hood, then the number of fronts can be unlimited. We focus on algorithms. And in fact, if you do it rashly and start designing for a chatbot, then the architecture is unlikely to be suitable for the application. You will have to redo everything when you want or are ripe for the application. And if you look at the fact that chatbots are one of the “fronts” possible for the algorithm, then you will do everything in the “back” and in the “middle” correctly. And bots, and an application, and a website will peacefully exist - whatever.
There is no question about the benefits of chatbots - the benefitsany communication brings and any method of communication with a client is good; the larger the company’s communication surface, the better. The issue is organizing communication management, measurement and decision making. Of course, if you have 5 clients, then writing an application or even a bot is irrational.
Chatbots can solve any problem,since the algorithm is not in the chatbot, but in the back-end. Moreover, using a bot as an application front is cheaper and faster than developing a native application.
gg: Judging by the previous name of your company, do you specialize in middleware?
Alexander Vityaz:We help build bridges between the backend,"front" and external software. Our earning model is selling a license. The client subscribes or purchases a full license. At the same time, we provide services for the implementation of all this, help get started, train, and so on. Our specialization is the digital core (middle, back and everything between them and the front). We managed to create such a platform that it gradually absorbs the entire software infrastructure of the enterprise. We didn’t intend it this way, but it turned out this way evolutionarily: if you build a circulatory system, sooner or later you will have to build a heart and brain.
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Illustration: Corezoid as an orchestrator
gg: That is, a synonym for your company is an integrator?
Alexander Vityaz:There is a more universal term - orchestratorservices. Our clients use it, it's an industry concept. Integrator is too narrow a concept. Connected and what next? And an orchestrator is both about connection and control. It’s not enough to connect all the cables, you still need to manage it all. Among the options for names we had were director and conductor, but it didn’t stick. At first it was a pipeline, which turned into a service orchestrator, then an operating system, later we began to build a digital core, after which we moved to the level of creating an Actor Engine. Now we have created the ability to combine actors into an actor graph, and Corezoid has become an orchestrator. The meanings have certainly been preserved, and the level of understanding of what Corezoid is building has increased qualitatively.
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Illustration: Corezoid as an ERP system
gg: How do you assess the chatbot market in Ukraine?
Alexander Vityaz:There is no point in measuring, but in the limit it is equal tonumber of living businesses. I would formulate the question differently: how many companies need communication with the client? Everyone. And to all the employees too. This is the answer to the question about market size.
gg: And how much of your company are chatbots?
Alexander Vityaz:Let's change the word "chatbot" to "front".In the work of our company there is always a place for the “front”, because the “backend” and “middle” must somehow communicate with the consumer and show something to someone. But what it is like and what proportion of this or that type of “frontend” is situational. We supply 100% of our clients with a digital core, some connect only chat to it, some an application, some all at once.
gg: If IT in this picture of the world is always connected with communications, it turns out that you are globally involved in the process of automating everything that can be automated?
Alexander Vityaz:Not certainly in that way.Because not everything can be automated yet and not everything is needed. If we think about it in this context, then an asphalt paver can also be called a communicator or messenger. After all, when we build a road, people have the opportunity to go somewhere, for example, to visit each other and communicate. That is, we can also consider the road, to some extent, as a messenger. Whether it is automated or not is the second question. In some places this is possible and does not harm communication. Somewhere it’s difficult.
The same GPT has difficulty answering my questions. But if I address my questions to some professor, today he will answer me better than GPT. So far it's better.
At the same time, GPT answers the questions of the call center operator level very decently already now
It is important to create channels of communication, easy andfast. But how to communicate there? What proportion of automation in them is a matter of management. For example, today we have already decided for ourselves that the first level of support will be answered by GPT. And the second level - if the client is dissatisfied with the answers of the first level (for example, he gives a bad rating in NPS), we already transfer it to a person. It's quite normal.
gg:What prevails in chatbot platforms in our country - Telegram or Viber?
Alexander Vityaz:It all depends on the segment, somewhere Viber is No. 1, somewhere Telegram. That is, it is correct to immediately connect all channels and give the client a choice.
gg: What size companies are you approaching?
Alexander Vityaz:Anything at all. From private entrepreneurs to large corporations. The largest client has 200 billion capitalization. Subscription to corezoid.com starts at $30 per month.
gg: What skills should a private entrepreneur have to use Corezoid?
Alexander Vityaz:What is a private entrepreneur?This is not a profession. If he is an engineer in the form of a private entrepreneur, he will immediately understand what needs to be done. If the hairdresser is a private entrepreneur, it will probably be difficult for him. We need the skills of an engineer and a trained business analyst. MySQL, a little JavaScript. You can use it without this knowledge at all, but you won’t actually be able to do anything worthwhile. You need some kind of engineering background in the form of specialized education or practical work experience. The need depends on the problem you are solving.
If you need to make a simple robot, of course, an engineer is not needed for this.
If there is some complex project, and there are a million algorithms in it, then you cannot do it without a highly qualified engineer.
gg: What are the steps involved in developing a chatbot?
Alexander Vityaz:A company needs to know 2 things - have an industry knowledgeexamination and go to corezoid.com, everything else we will help, show, teach, launch and support. We provide a ready-made communications orchestrator (not to be confused with a service orchestrator), it allows you to configure all communication channels: chats, mail, voice, forms, comments, add gpt, and then manage clients, operators, bots, content and event calendar.
gg: What advantages does Corezoid provide for building chatbots?
Alexander Vityaz:All in one - front-middle-back, billing, antifraud,AI, CRM, payments, training and outstanding expertise. With the help of Corezoid, chatbots were created in Sinevo, FUIB, Metro, UZD, Ibis and many others. Of the latter, kai.ai is a very useful and promising psychological assistance project.
gg: What difficulties and risks exist when creating and launching a chatbot for business?
Alexander Vityaz:There is an architectural risk - if it is not designed correctly, then the flexibility of the solution will be low, and the cost of modifications will be high.
gg: How do you measure chatbot success?
Alexander Vityaz:Common business metrics:number of customers, transaction, dialogue score, NPS (customer loyalty index, Net Promoter Score, survey technique in which the client is asked to rate from 1 to 10 the likelihood that he will recommend the company to his circle - editor's notegg). With the advent of the Large Language Model (LML), we will introduce indirect assessment, for example, by the tone of the client’s speech.
gg:It turns out that chatbots only make sense if you have a large audience?
Alexander Vityaz:Chatbots are not only about commerce, but alsoabout communication. This is a convenient channel for customers to ask questions. But a chatbot is still a command line communication format. If, for example, you need to download a thousand positions, the messenger is probably not the most convenient format for this.
In our world, chatbots don't rule out apps. They complement each other, chats are called from the application, applications are called from the chat. The correct answer is that everything must be done, these are communicating vessels.
For some experiments, testing hypotheses - it is clear that chat is the cheapest channel
I quickly put together an algorithm in the backend, launched the bot,I looked at how clients react to it. And then you transfer it to the application. As a sandbox for experimentation, an MVP, a chatbot is the right solution. Because in this case you don’t need to deal with the “front”. And if you are making an application, then you need to work in three directions at once: Android, iOS, dear people and all that stuff. The cost of a mistake, if you immediately implement the idea into an application, probably from tens of thousands of dollars and months of time.
gg:If someone decided to launch a chatbot for their company, where would you recommend starting?
Alexander Vityaz:It's very easy to give advice (laughs).If someone just came up with the idea of “launching”, then this is a disaster. Because he will give the command to create a chatbot. They put something together for him, and then real life begins - modifications, expenses and other discoveries. That is, this chatbot (application, website - it doesn’t matter) will constantly distract attention, and all this immediately becomes a cost point. But to turn this into a point of income, you need to seriously work and think. The programmer will not do this for the manager.
What's the solution? Think, design.If you don’t have experience, then either go somewhere else or develop your own specialist. Serverless is the right paradigm. She, of course, did not develop into the correct form, the way she was intended. But the concept of cloud hosting is correct in theory. Previously, you serviced the server itself - bought it, repaired it. Produced these devops around. Now everything has moved to the cloud, but, by the way, there are no fewer devops. Because serverless has not happened in the clouds yet. That is, I still buy servers there. Yes, I don’t keep them, but I still think in terms of servers, OS versions and other processors. This is a big problem.
But someday I won't be these categoriesthink. The industry is moving in this direction, but has not yet reached the finish line. I will work with some kind of database or knowledge. And do not worry about questions - what kind of processor is there, the server and how much memory did I buy or not.
gg: Do you know anything about the use of chatbots in Ukraine in the education sector?
Alexander Vityaz:Our clients use chatbots to train employees and customers. But, again, training is about content and algorithms, not about the front.
In the field of education, we have a phenomenal client spilno.school, be sure to read where and how they are moving.
gg:Why do you think there is so much talk about chatbots in recent years?
Alexander Vityaz:Because most people have this experienceusers of instant messengers - bots have been around for decades and people are used to them. Because there is a legend about a simple entry into IT. There are two myths - one about testers, the second about chatbots. As easy as it was to enter, so easy to come out. If you are not a professional, you will not stay in the profession. Some businesses go to messengers because that’s where their audience is. Some go because there is no budget for a full-fledged application. Apps are expensive. These are designers, iOS developers with huge salaries, and so on. But it happens that there is money and there is an application, but the audience lives in chat rooms - this is situational. We have clients who have more traffic in chats, and there are others who have the opposite: chat is auxiliary, and the main traffic is in the application.
Talk about low cost of entry is speculation
Is there a low cost of entry into medicine?And this applies to any profession. I'm in, what's next? If there are no abilities, the same goes. It is clear that courses that teach programming need to somehow sell themselves. And the message about easy entry is that it works. But it's almost a scam.
gg:What can you say about zero coding then?
Alexander Vityaz:Zero Coding is already being done by ChatGPT. Is it necessary to teach this at school if the computer already does this kind of work better?
I'll tell you that we have already fired several people, juniors, JavaScript writers and designers, because GPT does their job better.
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Comic illustration for social networks created by Corezoid designers
gg:Here we have a lot in common with journalism…
Alexander Vityaz:What is the program, in terms of language andlinguistics, different from text? Both are languages with different syntax. Text in a programming language is a subset of natural language. That’s why (to simplify) GPT is so easy to program that it’s easier than learning a natural language.
Zero Coding - exists as a phenomenon, but as a profession it does not exist, that's why it is Zero Coding, that everyone can use it
For example, what is the profession of an engineer?You must be good at math. There is a profession of a translator, there is a linguist. Which one is the best in the language? Linguist. A translator is better at using the language. Question: If we say that a development engineer is a translator, then we can drop the word "engineer". And if we say that he is an engineer, then he should be more of a linguist. There is a lot of mathematics in linguistics, actually. That's what mathematics is, because it's structure, trees, and all that.
To the question "Is it possible to be a developer without knowingMathematics, the answer is no. You can pretend that many successfully did. But I never liked these expressions - low code and zero code, because the essence is lost behind them. With Corezoid, you don't need to know any language specs. But you have to know math, have subject expertise to make a complex algorithm. And if you have neither the ability nor the knowledge, you will not do anything. That is, a simple process - you will do it, but a complex one - no.
When I was in college, my professionwas called applied mathematics, engineer-mathematician is written in the diploma. And then there was no profession of a programmer in its pure form. But the structure of this profession was that first you learn mathematics and at the same time learn to program on a computer. But the DevOps profession (development & operations - a methodology for developing complex software that is constantly improved during use - editor's note) - this was actually a neighboring faculty. Because the task of an applied mathematician is to create a mathematical model, an algorithm for solving a problem. For this, in fact, you don’t need anything other than your head, pen and paper.
To distinguish between programmers with and without engineering training, the market invented the word coder. Sometimes he has an indecent prefix ????
Of course, there are self-taught guys who have mastered the basics of the profession, but this is more the exception than the rule.
gg:It turns out that chatbot developer is also a function, but not an existing profession?
Alexander Vityaz:In fact, it is available on job sites, but in my opinionIn my opinion, there is none, this is just one type of work for a programmer. There is a market. For example, some company woke up and wrote in an advertisement, “I want to develop a bot.” Some people come there. When an unqualified customer and performer meet, what they can do will most likely be “not very good.”
It’s easy to become a chatbot “developer” and that’s whyThere are no prospects for such a “profession”. It's an oxymoron like "smartphone user." But there is a profession of an engineer, and the development of chatbots – one of the types of work that an engineer does. You need to become an algorithmist; to do this, take at least the initial Computer Science course.
gg:What advice would you give to students - what should they study now to be competitive in the future?
Alexander Vityaz:The advice has not changed for 20 years - studymathematics. Our difference so far between what we call artificial and natural intelligence is emergence. In the ability to create and apply some knowledge and generate others. Today in GPT, there is no intelligence anywhere near there. But nothing will stop him from appearing. As long as there is a niche - connecting the dots in the graph, creating knowledge.
Translating as Google Translate terms of reference into JavaScript is not a job. Work is to write technical specifications
For example, if earlier wereceived 10 responses a week, now, after the appearance of GPT, it is already 200. The difference is 20 times. Of course, there is also a military factor, because some firms are closing, moving, but this trend has intensified since the advent of gpt. Wages haven't dropped yet. There are more entry-level specialists on the market, and the need for them is less. I think that for the HTML layout designer the need will not return, most likely.
gg:So, programmers will be more involved in architecture in the future?
Alexander Vityaz:But, in fact, that’s exactly how they appeared.The father of today's big language model explosion, or rather one of the fathers, is Judah Pearl. He came up with Bayesian networks. That is, a mathematical apparatus that has now finally received a real embodiment. But when he came up with it, he also drew the formulas. Instead of sitting at the keyboard at night and typing text. He created a hardware that was only now able to be implemented because computing power had developed sufficiently.
gg: Chatbots have already reached the peak in their development?
Alexander Vityaz:We haven’t achieved it, on the contrary, everything is just beginning. The introduction of GPT will make communication qualitatively better and applications more diverse.
Large language model (LLM) + direct knowledge = expert system (ES)
I will say more - without any linguisticSince 2005, bots have lived in our PrivatBank call center. And 70% of the clients who interacted with him thought they were communicating with a person. These robots worked simply by keywords. You take the statistics of questions, write answers to them, keywords - everything works fine. If a person needs to know the balance, you don’t have to put a professor in jail to answer this question. One way or another, he will write in the chat “what is my balance”, “what is the balance”. Some synonyms. When I saw the statistics, I was amazed. The Big Language Model works even better. But even with blunt automation, the Pareto rule was almost observed. Almost 80 percent of customers did not understand who was answering them, a person or a robot.
gg: YDoes ChatGPT really work for you in support and does not respond according to scripts?
Alexander Vityaz:Operators actually have scripts too.This is not freestyle - he answers what he wants. There is documentation on the products, manuals that you can look through, all sorts of FAQs, timings, and so on. Now we have this thing called a “communication orchestrator”. By the way, to understand the evolution - when we just started working with chats and bots, a very long time ago, it was called a bot platform. But for two years or more now we have been calling it a communication orchestrator. And this evolution of the name shows how much our view has changed - from the particular to the general. And today we have artificial intelligence in this orchestrator as an employee. And the one who sets up this orchestrator puts him in place of a real employee. Moreover, you can connect any language model, not necessarily GPT - Google, Facebook, or several at the same time. The one that will be on the market. The client creates an account, enters the keys and connects the intelligence he needs.
gg:Isn't there a risk that GPT will give some answer that will be irrelevant or even harmful?
Alexander Vityaz:Check it out, you can check it beforelaunch, test. Is there any risk that the chat operator will write something wrong? The per person costs much more to manage this entire economy. Yes, you need to keep an eye on the robot, but you also need to keep an eye on people. Therefore, from the point of view of communication management, nothing changes.
gg: What new opportunities for chatbots have appeared in the last year?
Alexander Vityaz:Multichannel, BYAM, ES.Multichannel - Apple, Google, WhatsApp, Viber entered the market of instant messengers for business. This has increased the requirements for proper architecture, quality, usability, design and generally raised the bar - in order to become a partner you have to try very, very hard. BYM allows you to better understand customer questions and create new products in messengers - for example, expert systems. This, in turn, reduces the requirements for bot developers - any advanced PC user can create a simple ES answering documentation questions in a couple of minutes.
gg:And what has changed with the advent of ChatGPT? Can this already be called a change in the rules of the game or not yet?
Alexander Vityaz:This creates a new interface.In the broad sense of the word. An enterprise is some kind of function, an algorithm. Changes tires, delivers food, whatever, it doesn’t matter. Performs some function. And in order for you to use this function, you need some kind of interface. Application, bot in natural language, not in natural. Some forms and so on. But our native interface - language - the emergence of a large language model greatly simplifies it.
For example, a banking application has 500 pages.Adding each new feature means more pages, people, tasks, documentation, backends, etc. Now imagine tomorrow the 501st service is added. And we don't update the app. Because you consume this service through a bot.
These interfaces did not appear today - Siri, herethis is all. IVR voice robots in call centers are their forerunners. But they did not have a large language model, that is, Siri simply did not understand almost anything. And with our accent, she did not understand anything at all. But it is precisely this task of the interface that the large model solved.
No matter how you twist the phrase: “buy milk”, “buy milk”, “run for milk”, Siri will understand only two out of ten possible phrases there. And the big language model will understand everything
And now any teapot can make them.Some kind of expert system, for example, for your beginner colleagues. If you have an instruction, you give it to a large language model and then it can work.
BYM is our new eyes, ears, language and memory.A few years ago I said that it would be possible to communicate with the masters of the past on the basis of their work. (But there are prospects for the mass appearance of the right interlocutors: there will be Chekhovs in the clouds, neural networks built on the basis of works, letters and other surviving texts. We will have direct access to the greatest minds, then you, journalists, will be able to take any interviews and no one will refuses, interview from 2019).
gg:To the consumer does she say some quote or the correct answer to a question asked?
Alexander Vityaz:Even more interesting - you give her a textbookgeometry for the seventh grade, and after that she can solve problems for the seventh grade. We are no longer talking about a literal understanding, but about understanding the rules of use. And it’s just not difficult. This is still not intelligence, but the interface has changed qualitatively, because you no longer need to give strict commands. How does a natural language differ from a programming language? The rigidity of the syntax. In order for a computer to understand you in the form in which it exists today, you cannot do without rigid syntax.
And an ordinary programmer is a translator from an open syntax to a hard
But someone is transmitting information through thissyntax. This someone is a real engineer. The one who says how and what to do. What is the general gap in the classical programming paradigm? The fact is that the product owner is not an algorithmist, but he, for example, changes the currency. But the programmer is not a financier and does not know the word futures or the rules of the market. And so they try to find a common language among themselves. And that's the problem. With a large language model, this gap will be closed; we will all become algorithmists and problem makers. Because the computer already understands almost any of our messages.
gg:In the near future, even in banking applications, should we see some kind of voice functions?
Alexander Vityaz:Yes, they tried it before, but it didn’t work out well.In order to make normal voice control of applications. it was necessary to do what GPT had been doing for 15+ years (I mean the OpenAI company). And have the appropriate class of specialists and funding. It is unrealistic for a Ukrainian company to have such a budget and access to such people. And this applies not only to Ukraine, but to most countries and companies. We see today that up to 10 companies in the world are doing this. That is, there are not dozens of them, and certainly not hundreds. Because this is an expensive pleasure, gpt spends hundreds of thousands of dollars per day on hosting alone.
gg:By the way, about new interfaces. You made the Privat24 app for Google Glass. Do you think there is a future for such glasses, for example, can Apple do something that will change the world?
Alexander Vityaz:Google has closed its glasses project.These glasses have no future. But augmented reality has a future. But how it will be implemented is an open question. Most smartphones today have poor battery life; glasses have even worse battery life. Therefore, when we arrive somewhere, we immediately look for exercise. It's almost an instinct.
I don't know what it will be, the question is not about the glasses, howsuch, but to power sources. As soon as they become miniature (or wireless), some kind of unambiguous, if not revolution, then movement in its direction will occur. Autonomy is not enough. We see the same thing today in smartphones, in electric cars, everywhere. Cars have already reached the point where they can already be driven (although not yet like on gasoline).
gg: When someone says they have developed an AI chatbot, what does he really mean?
Alexander Vityaz:Before the advent of BYAM - no idea, they exaggeratedprobably (laughs). Often the AI was given answers based on keywords. Today it is realistic to use BYM to recognize questions, create ES, and automate the work of call centers.
gg:Do you have your own vision of how AI will impact humanity? Is it optimistic or pessimistic?
Alexander Vityaz:Of course there is, but who doesn’t have it?!(laughs) Firstly, what is considered optimistic or pessimistic. I know you have cats. Question: are you controlling them or are they controlling you? Now put yourself in place of the cats. Judging by the photos, your cats are happy.
Life is already changing.But not everything can be extrapolated. That's when a person goes to first grade, you can extrapolate his life to the institute what will happen to him. Well, plus or minus. Now imagine that you cannot extrapolate. We can fantasize. What is our planning horizon today? Who planned half a year ago that layoffs of juniors, javascriptists and call center operators would begin? Nobody.
Most people don't really work intellectually, they work physically.
So physical labor will remain, butintellectual - not for everyone. But everyone doesn't need it. The issue of salaries and incomes will somehow be resolved, because the economy will not go anywhere, it will be transformed along with labor.
The book "Doctor Einstein's Monsters" reports that the model of the universe can calculate 100 people in the world, the complexity of the models doubles every 20 months. Then extrapolate yourself.
The monthly active audience of GPT in March 2023 was about 100 million.
Let's double it, adjusted for smart but principled ones,That turns out to be 200 million. There are 8 billion people in the world. Only 2.5% of people passed the curiosity and intelligence test. Of course, over time, the number of users will grow due to simplified access, integration into familiar interfaces, etc. But in this context, it is the primary impulse that is important – only 2.5% wanted to immediately touch the aggregated knowledge of all humanity. This relates to the question of how many people work with their heads and how many physically. In practice, the Turing test happened in reverse - the computer tests humanity for intelligence.
On the other hand, the robot does not need Coca-Cola, pants, or mascara. And when the right, true, autonomous artificial intelligence (AAI) appears, parts of the economy as we know it will begin to change.
gg:And the more robots there are, the more people will be needed to create and maintain these robots?
Alexander Vityaz:Robots and AI are two very different things.Robots are the material physical presence of AI; an infinite number of them are needed. There will be several AIIs at the start - according to the number of thermonuclear countries, and in the limit of 1, in science this is called a singleton, There can be only one. AI without quantum computers will not appear. AII is very related to energy. Firstly, you need to do a lot of calculations, secondly, the computers need to be very cooled, and thirdly, all this needs to be protected physically and cryptographically.
Robots are the next smartphones andelectric cars whose main brain is in the cloud. As long as people serve them. But servicing an electric car and a gasoline car are two big differences today. Someday robots will learn to change bolts and wheels. This is obvious enough that it can be easily extrapolated. Jobs for those who work with their hands will still be around for a long time.
All this will gradually change the principles of the economy, because the essence of the economy is the distribution and redistribution of access to energy.
To put it very simply, when the fusion reactor starts up, energy communism will appear
Today, the difference between the poorest country andthe richest in the number of consumed kilowatts per capita. Well, or everything can be reduced to kilowatts. And so, if you take an American family, there is some Bangladesh, you will see that the difference between them in access to energy is orders of magnitude different.
We take household income divided by the costkilowatt, we get the amount of energy for the average American and the average Bangladeshi. But as soon as a conditionally infinite, free source of energy is launched, consider that communism has come from this point of view. Do you need 50 kilowatts per day? - Here, take it. This is the inflection point for biblical economics (by the sweat of your brow...).
The classical understanding of the economy will disappear as soon as a shareware source of energy appears
You don't have to earn money to run your refrigerator. Or heating, or something else. I highly recommend Vaclav Smil’s books, very concentrated food for the mind.
gg: And the last question: how can media, for example, gagadget, use chatbots?
Alexander Vityaz:There are many options:news streaming, surveys, working with the community, subscription, invoices, advertising, announcements, microlearning, radio - now it’s more a question of ideas rather than technical capabilities – for example, in a couple of hours you can set up a gpt chat that will allow readers to talk to the content of your entire site, and this is a completely new experience for both you and users.
Riddle from Alexander Vityaz
Finally, a riddle about autonomous artificial intelligence from Alexander Vityaz: what will be the last word in this scheme?
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