Mykola Latansky, genialist

Who would have thought that philosophy would once again find itself at the center of global attention?

For decades, it seemed that philosophy had been pushed aside by technology, business, and the applied sciences. Yet something unexpected has happened: with the rise of artificial intelligence, philosophy has become one of the most relevant and sought-after fields of inquiry once again.

And here I am in Venice, where I will spend the coming week at the international Philosophy of AI Summer School, jointly organized by four outstanding universities: University of London, The University of Hong Kong, Technical University of Munich, and Ca’ Foscari University of Venice.

Over the past few years, I have been deeply immersed in the study of philosophy. More recently, my focus has expanded to include artificial intelligence and the question that fascinates me most: human genius in the age of AI.

Participants have come here from 19 countries. The program is exceptional. The faculty and speakers are equally impressive.

I have a strong feeling that this week may become one of the most important and transformative chapters in my intellectual journey of recent years.

I’ll be sharing insights, discoveries, and reflections from Venice throughout the week.

P.S. Could you have imagined just a year or two ago that the ability to ask profound philosophical questions about AI would become one of the most valuable skills for leaders, entrepreneurs, researchers, and decision-makers shaping the future?

1 day ago | [YT] | 1

Mykola Latansky, genialist

I came across an interesting idea at an artificial intelligence conference that took place a few days ago in Munich.

Several professors from the University of Munich were on stage discussing a problem that universities everywhere are now facing: students are increasingly writing essays with the help of generative AI. And, honestly, many professors seem genuinely uncertain about what to do next, because the essays often turn out to be remarkably good.

Then one of the professors said something very interesting:

“We all understand that generative AI almost never produces a truly strong essay from the very first prompt. Which means the student somehow arrived at that final version: refining ideas, restructuring arguments, clarifying points, improving depth and coherence. So why not ask students, during the defense of their essays, to also submit the history of prompts they used throughout the process?”

And that thought struck me as genuinely profound.

Because when someone is truly working with AI — rather than simply trying to get a finished result from a single prompt — genuinely good writing almost always requires a huge number of iterations. Sometimes I personally spend an entire day on one serious writing task simply because of the constant refining, questioning, restructuring and searching for more precise formulations.

And if you later rewind the entire process and look through the chain of prompts, something very interesting begins to emerge: you can actually see the person’s thinking process unfolding in real time — what they notice, where they hesitate, how they deepen an idea, which weaknesses they recognize in the text, and how capable they are of thinking independently in the first place.

And perhaps this will eventually become one of the clearest ways to distinguish people who use AI to amplify their own thinking from those who simply try to outsource thinking to the machine.

3 weeks ago | [YT] | 3

Mykola Latansky, genialist

These days I am in Munich, Germany, at The Responsible AI Forum (#TRAIF2026).

People from business, academia, government and civil society have gathered here to discuss how artificial intelligence is already changing our world — and what kind of future we are moving into.

The conversations range from AI governance and regulation to ethics, trust, security, transparency and the growing impact AI is having on societies and human behavior.

What I especially like is the diversity of people and perspectives here. Participants came from many different countries across Europe, Asia and Africa, and you constantly hear completely different ways of looking at the same problems.

And honestly, this is probably the most valuable part.

Not because someone here has all the answers — quite the opposite. Many of the questions humanity is now facing because of AI are entirely new for all of us.

But there is something genuinely interesting about being part of conversations where people openly try to understand problems that nobody fully knows yet how to solve.

3 weeks ago | [YT] | 3

Mykola Latansky, genialist

Today, almost every conversation about artificial intelligence revolves around the same things: how intelligent it is, how creative it is, how fast it works, and how capable it is of replacing human beings. But it seems to me that these conversations are missing a far more important question: what is happening to human genius in the age of AI?

I do not understand genius as fame, as a high IQ, or as a romantic myth about the chosen few. For me, human genius is the capacity to become a source of something genuinely new: to see what no one has yet seen, to think beyond templates, and to act not as a mere function of circumstance, but from an inner center, from the depth of one’s own will, responsibility, and creative power.

That is why I am interested not only in what AI can do, but also in what its growing presence is doing to the human being.

Artificial intelligence is already changing more than the tools of our work. It is changing the very environment of thought. It is entering into the way we write, formulate, design, interpret, make decisions, and solve problems. And that means it is also changing the very conditions in which human originality can appear at all.

Yes, AI can amplify human capacity. It can accelerate search, expand access to knowledge, make experimentation easier, and support the creative process. But at the same time, it can quietly train us to prefer speed over depth, compilation over discovery, and optimisation over the inner work from which something truly new is born. And then the central question is no longer whether a machine can imitate creativity, but what happens to the human capacity to create something genuinely new in a world where machines are becoming ever better at imitating thought.

It seems to me that this is where one of the defining philosophical fault lines of our time runs. We need to rethink what human genius is, what in the human being cannot be reduced to an algorithm, what cannot be exhausted by the reprocessing of what already exists, and what remains a living source of original action. Because the future will not be decided only at the level of technology. It will be decided at the level of whether the human being remains a source of the genuinely new.

1 month ago | [YT] | 3

Mykola Latansky, genialist

Many years ago, back in the 1990s, when I was a student at a polytechnic university, I dreamed of automating my own apartment. Back then, almost no one was talking about “smart homes,” but I was already fascinated by the idea that space, technology, systems, and devices could be connected into one intelligent organism.

Later, in 2005, I founded an engineering company specializing in smart homes and intelligent buildings. By the way, that company is still operating today — 20 years later! And in 2007, I left the engineering business and moved into the field of personal growth, because at some point I clearly saw that people needed more than technology. They needed self-understanding, self-belief, inner grounding, and tools to access their innate genius.

For many years, I was fully dedicated to personal growth, the psychology of success, and the development of human potential. But over the past few years, some invisible force has been persistently pulling me back to my roots — to my technical background, engineering mindset, and deep understanding of systems. And today I have to admit: since 2020, I have been seriously studying artificial intelligence.

Not in the sense of “how to write a good prompt,” “which app to download,” or “where to generate text, images, or videos.” I am interested in the depth: what makes artificial intelligence intelligent; how neural networks are structured; how a model is trained; what machine learning really is; how data turns into decisions; where the boundary lies between algorithm, intelligence, thinking, and creativity; and how AI is changing the very nature of human activity.

Recently, I wrote that in June 2026 I will be attending a week-long Philosophy of AI school in Venice, and in August 2026, a specialized Oxford course on AI and Applied Data Science. And today I want to share another important step: I have completed two Oxford courses in artificial intelligence — AI Concepts: Practical Applications and AI Concepts: Introduction to Machine Learning.

I’ll be honest: on the one hand, this field is drawing me in more and more deeply. On the other hand, finding time for serious, thoughtful study is not easy. But that time has to be found. Because today, whatever we do, whatever profession, industry, or business we are in, we can no longer afford the luxury of remaining superficial users of artificial intelligence.

Many people think that mastering AI means knowing how to write prompts, being familiar with a few popular services, and downloading a couple of apps from the App Store or Google Play. The ability to write prompts is a useful skill. But it is only the entry level, not a true understanding of artificial intelligence.

We need another level: the level of understanding, of the architect, of the co-creator. The level of a person who understands not only what to click, but what is happening inside the system, what logic it uses, what limitations it has, where it amplifies human beings, and where it quietly begins to replace them. Because if we treat AI merely as a toy for generating texts, images, and videos, we risk becoming among those whose functions AI will be able to automate first.

But if we preserve our own depth, uncover our innate genius, and amplify it through artificial intelligence, neural networks, algorithms, machine learning, and intelligent systems, something entirely different happens. We do not disappear against the background of machines. We become stronger. Our thinking is amplified, our speed of work increases, our creative power expands, and our ideas find new forms of expression.

Millions of people around the world now risk getting stuck at the superficial level of interacting with AI. They are mastering the level of the AI user. But the future will belong to those who move to the level of the AI thinker, AI strategist, AI architect, and AI creator — the person who does not merely use the tool, but understands its nature and knows how to connect it with their own depth.

So here is my question for you: what do you think about this? What are you already doing in this direction? How exactly are you studying artificial intelligence personally? Are you simply using ready-made apps — or are you truly trying to understand what stands behind this new force that is already changing our world?

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1 month ago | [YT] | 4

Mykola Latansky, genialist

WILL ROBOTS REPLACE HUMAN BEINGS?

I bought my first 3D printer in August 2025.

For the next six months, I printed all kinds of figures, parts, and models created by other people. It was interesting, exciting, and often felt almost magical.

But deep inside, one thought kept living in me:

“I want to learn how to create 3D models myself!”

Not just download someone else’s files. Not just press the Print button. But to imagine something, design it, model it, and then hold in my hands an object that only yesterday existed only in my imagination.

In March 2026, I bought a more serious 3D printer. But the problem remained the same: I could print, but I still could not create my own models.

And yesterday morning, I could not even imagine that by the evening this would change.

My expectation was very modest: to model at least some simple cube or cylinder and print it.

But something happened that I did not expect at all.

With the help of artificial intelligence prompts, what I thought would take me several weeks — perhaps even months — took only a few hours!

In one single day, I created two 3D models of my own:

1. A protective cover for my favourite German-Hungarian / Hungarian-German dictionary with very thin pages;
2. A bracket for hanging a strawberry pot on the fence in our garden.

And these were not abstract training exercises. They were real things for my real life.

I imagined them, modelled them, printed them, and watched an idea become a physical object right before my eyes.

After that, I spent several hours walking around in a state of mild shock, trying to grasp what had just happened.

And the more I think about it, the more clearly I understand this:

==> The innate genius I have been speaking about for almost 20 years — the genius I believe we are all born with — is now becoming much easier to awaken and express.

Not because artificial intelligence is becoming genius instead of us. But because it can dramatically accelerate our own learning, thinking, creativity, and ability to bring ideas into reality.

What used to take months can now, in some cases, be learned in hours.

What once required a long entry into a profession is now becoming accessible to a person who has genuine interest, a clear sense of their “why,” and, of course, the willingness to learn quickly.

But it is important to understand this:

Artificial intelligence reveals our genius only when we use it properly.

Not as a crutch. Not as a replacement for ourselves. Not as a way to do nothing. But as an amplifier of our thinking, curiosity, willpower, and ability to create.

I am writing this post and I am still deeply impressed by how fast the world is changing.

And also by how quickly we ourselves can change when we stop being afraid of new tools and start using them for growth, creativity, and self-realisation.

Have you already had such moments when, with the help of artificial intelligence, you suddenly did in a few hours what previously seemed like a matter of weeks or months?

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1 month ago | [YT] | 4

Mykola Latansky, genialist

It is fascinating to observe how even victorious leaders can remain trapped in the old paradigm.

Weeks after an election, the winning side often continues to operate in campaign mode — fighting opponents, proving superiority, scoring points.

But true leadership is not the art of defeating others.

It is the art of transcending the fight altogether.

Genuine power emerges when a leader stops competing and begins serving a higher vision — shifting from the energy of battle to the energy of creation and inspiration.

This is the difference between ordinary power and genius-level leadership: the ability to rise above the game instead of trying to win it forever.

The real question is not who wins the election.

The real question is:

When will leaders remember who they truly are beyond the fight?

#GeniusLeadership #HumanGenius #Genialism #RememberYourGenius #ConsciousLeadership

1 month ago | [YT] | 2

Mykola Latansky, genialist

A few years ago, when I turned seriously toward philosophy, many people were surprised by that shift.



How could it be that, after years of experience in business, building a company that serves clients around the world and spending many years working with people in the areas of personal growth, thinking, leadership, and human potential, I would choose philosophy — a field that many still assume is too abstract and too far removed from real life?


But time is proving otherwise.


In the age of artificial intelligence, philosophy is once again moving to the center of the most serious questions of our time. What is reason? What is agency? What does it mean to understand rather than merely process information? Where is the line between computation and subjectivity? And what, in the human being, remains fundamentally irreducible to an algorithm?


That is why it felt natural for me to go further — not simply to study philosophy, but to work at the intersection of philosophy and AI.


I’m glad to share that in June 2026, I will be taking part in the Philosophy of AI Summer School in Venice. The program will take place June 15–19 at Venice International University and is hosted by the Institute of Philosophy (University of London), the University of Hong Kong, and LMU Munich. This year’s theme is Reasoning and Agency in AI.


I am convinced that in the years ahead, the advantage will belong not only to those who learn new tools the fastest, but also to those who know how to ask deeper questions about the human being, the nature of thought, and the future.



More to come. From Venice, I intend to bring back not only ideas, but also questions that are truly worth asking ourselves.





#PhilosophyOfAI #Philosophy #ArtificialIntelligence #ReasoningAndAgency #HumanAgency #PhilosophyOfTechnology #FutureOfHumanity

1 month ago | [YT] | 4

Mykola Latansky, genialist

TODAY I TURNED 53!

This year has been extremely intense, bright, unforgettable, and incredibly diverse.

We managed to fully enter the English-speaking market and hold events in eight European countries: Austria, Hungary, Italy, Poland, Slovakia, Slovenia, Croatia, and the Czech Republic.

Over the course of this year, we conducted a large number of masterclasses — “Genius Inside You,” “Success Strategies of theRich and Wealthy,” two-day trainings “Breakthrough Training,” as well as three seasons of the 90-day online program MetaGame — all of it in English!

Many of our students achieved very strong results.
A student from Hungary, who has visited every country in the world and became a national record holder for travel, finally wrote the book she had dreamed of for the past six years.
Another student from Budapest, successful in business, had long wanted to start acting in films — and this year she appeared in a movie.
Yet another Hungarian student, after five years of struggling with the Russian language, was finally able to pass a very difficult Russian language exam.
And this is only a small part of our students’ successes.

A separate personal breakthrough for me was the Hungarian language.
The year began with my speech at a Toastmasters club, delivered in Hungarian and memorized word for word. Over this year, I learned several thousand Hungarian words and reached a confident B2 level — in just a year and a half of studying this extremely difficult language!

At the same time, I completed three courses in philosophy and anthropology at Oxford, registered for three advanced courses in artificial intelligence and data science, which I will begin next month, and mastered 3D printing.

We moved from the center of Budapest to the suburbs — to a beautiful townhouse, closer to nature and silence. And wild deer live just behind our fence.

Over the course of this year, we drove thousands and thousands of kilometers by car across Europe and the Middle East.
Today, I began celebrating my birthday in Turkey and continue it in Lebanon — my 81st country, which I had long dreamed of visiting!

5 months ago | [YT] | 5

Mykola Latansky, genialist

Yesterday we attended Hungary’s main AI conference — AI Talks. The room was filled with incredibly strong experts, and the level of speakers — including international ones — was impressive.

But here’s the biggest insight I left with: most people still see AI far too narrowly. Many still think “using AI” means generating texts and pictures.

Those who truly understand what’s happening are already using AI to build full-scale, structured, and functional systems — the kind that used to take months of coding and hundreds of hours of engineering. Today, you can build them in days.

Only 1% of people could code before. The other 99% stayed passive.
Now the world has shifted: anyone can build their own solutions without knowing how to program.

We’re entering an era where thinking, asking better questions, and connecting ideas matter more than technical skills.

And that is a massive opportunity for everyone.

#ai #genius #mindset #aitalks #future #mindset #opportunities #leadership

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6 months ago | [YT] | 3