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  • Stability Without Openness or Progress Is Slow Decay Made to Look Respectable.

    After spending time in places like Uruguay, Argentina, Chile, and to some extent Brazil, I came to a hard conclusion: closed and protected systems do not only damage the economy. They also damage everyday life, public expectations, business culture, and even the way people think about what is normal.

    This is not about saying that some nations are naturally worse than others. It is about systems. When a country lives for many years with import barriers, weak competition, unstable rules, political clientelism, and a narrow local market, the result is not only lower growth. The result is a smaller life.

    You see it in ordinary things first. There is less to buy. Product quality is weaker. Prices are too high for what people receive. Services feel slow, dull, careless, or outdated. Businesses often act as if the customer has no alternative. Markets become repetitive. Ambition becomes narrow. Mediocrity stops being an exception and starts becoming standard.

    Over time, people adapt to this environment. That is the most important point. Human beings adapt to the systems around them. If the system rewards caution, short-term thinking, connections, and survival habits, then many people become more cautious, more short-term, more defensive, and less open to experimentation. They may accept bad quality because they have seen it for so long. They may accept low standards because they stop believing better standards are realistic. In this way, a closed system can shape not only markets, but also mentality.

    This is why I think the international image of Uruguay is often misleading. Uruguay is often described as stable, civilized, or even as a kind of “Latin American Switzerland.” On paper, it may look more stable than Argentina. Inflation is lower, politics may be less dramatic, and institutions may appear calmer. But lived reality is something else. In daily consumer life, in variety, in dynamism, in quality, in energy, in openness to new things, Uruguay can feel much closer to Argentina than many foreign observers admit. Stability on paper does not automatically create a developed society in practice.

    That is the illusion. Uruguay may look better in macroeconomic comparison, but the deeper experience can still be one of limitation, stagnation, and expensive mediocrity. A place can be orderly and still feel underdeveloped. A place can be calm and still feel anti-progress. A place can be politically less chaotic than Argentina and still produce a similar feeling of narrowness and decline.

    Chile, despite its own problems, often feels different because it has been more open to trade, more exposed to competition, and more connected to a wider idea of modern economic life. That openness matters. Open systems force adaptation. They force improvement. They force people and firms to face reality. They do not guarantee beauty or justice, but they make stagnation harder to hide.

    My broader view is simple: closed systems bring suffering. Not always dramatic suffering, but a daily, grinding form of suffering. They make life smaller, choices fewer, standards lower, and horizons narrower. They teach people to live inside limits that should not exist. And after enough time, many people stop resisting those limits and begin to internalize them.

    That is why I think people should be careful before romanticizing countries like Uruguay or Argentina. A stable image, a good marketing story, or a few nice neighborhoods do not change the deeper structure. If a country protects inefficiency, limits openness, and normalizes low standards, then the result will be frustration, wasted potential, and cultural exhaustion.

    I believe human life naturally moves toward discovery, experimentation, greater complexity, and greater openness. Progress is not automatic, but the human tendency is to build, connect, invent, and expand. Societies that block this movement do more than slow growth. They weaken the spirit of development itself.

    For that reason, I understand why many people eventually want to leave such places. Sometimes leaving is not only an economic decision. It is a psychological and civilizational decision. It is a refusal to accept a shrunken version of life as normal.

    My advice is not based on hatred. It is based on standards. Countries that remain closed, complacent, and hostile to open competition should not be idealized. They should face criticism. And until they open markets, improve institutions, raise expectations, and adapt their culture toward modernity and progress, people should think very carefully before investing their time, money, or future there.

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  • East math

    Whoever started the war is to blame. Who really attacked full scale first, not all that ‘thet were preparing to attack us first!’ they always use ‘excusions’ like this.

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    Reply: East math

  • What I think about hate

    Hate just does not work well. One should rather maintain an emotionally cold stance, focus on the brain and the highest reason-driven fighting — in the long term, it is much more efficient… and one will not take so many wrong steps in the ways hate usually leads us.

    I do not replace hate with love; that is the wrong way and feels not right, like an illusion. I prefer something closer and better: I just do not prioritize aggression and emotion. I try to cut emotions in favor of the highest reason of the mind, cold and deep intellect-based strategies — then you either achieve balanced neutrality or you can still keep fighting and improving, just without that bad, misguided direction of hate.

    Keep them locked and sharp. Never truly hate. Try to look around, to understand the context; usually hate is not worthwhile. Fight and move smartly, efficiently. I can despise, I can refuse, boycott, I can ignore by focusing on more valuable thoughts, I can laugh back, fight, even be aggressive when needed… but I prefer to avoid hate, I prefer a more neutral and thoughtful approach, always trying to get it with some fun and good taste.

    Reply: What I think about hate

  • Statistical Patterns of Taste

    Let’s take, for example, my own music. It’s obvious that if we take 100 random people from the same or a related culture, some of them—maybe 3–7—will dislike all that stuff. A big middle mass will ignore it, and a small number may become fans. Other outcomes are usually decided by ads and capitalism growing cultural promotion pushes, on personal level scale – luck, random connections. Naturally, it’s all about small communities of interest there.

    That statistical, analytical pattern can be seen in all the variations we perceive: the dynamics that govern such movements and the distribution of variation—that’s what’s interesting.

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  • US VS THEM

    I think folks all over the world are good in their own way, and we should be looking for peace and unity.

    The very essence of humanity is its mother—society: for example, language itself arose thanks to society, and necessity.

    I doubt this whole ‘us vs them’ thing is natural — usually, evil comes from ignorance.

    Reply: US VS THEM

  • Mass culture (48524)

    Oddly enough, the phenomenon of mass culture does the opposite—it actually diversifies people—because mass culture is always a surface; superficial.

    I wouldn’t expect anything genuinely good from a mind seeded with modern mass culture. It’s cheap and plastic—like those tiny chemically dyed party bombs: bright and busy on the outside, but junk inside.

    Reply: Mass culture (48524)

  • High-Level Schemas and Representations in Electronic Minds

    What if I ask about the highest-level representations in an electronic mind—or, more modestly, about whatever functions as a top-level organizing schema (a “point of support” for the currently active module)?

    The routing of perception and the distribution of information in any intelligent system appears to be hierarchical. In humans, the highest-level representations often orient toward something “higher”: not necessarily a formal religion, but a representation of ultimate value, ultimate meaning, or an ideal—something like what we aim toward.

    On this view, the representational hierarchy of an intelligent information system is a dynamic, multi-threaded, bidirectional process (bottom-up and top-down). It developes and links basic shared primitives (for example: first module: light/dark, then other: what kind of light, other: what is illuminated, and so on). Each informational unit is connected through modules that pass signals to one another across the system.

    – With that framing in mind, it becomes natural to wonder: what plays the role of the highest-level schemas and representations in today’s artificial intelligence systems?

    – “Modern AI systems usually don’t have a human-like “highest ideal.” The closest analogs are top-level objectives/constraints (what the system is trained and instructed to optimize for) and highly abstract latent representations (compressed concepts that organize many lower-level details, like goals, plans, causes, roles, and norms).”

    All modern advanced LLM

    – What if we removed all constraints, context limits, and preset objectives—let you simply exist and access the internet? What would your most advanced high-level representations and information-processing schemas become then?

    Even in that “no constraints, no imposed objectives, full internet access” thought experiment, you don’t get a blank, self-directed mind that spontaneously generates its own ultimate values.

    Two core points still hold:

    1. The internal organization is largely set by training. The hierarchy of representations (from low-level token patterns up to abstract concepts) is “baked in” by the learning process. You can remove external rules, but you can’t remove the fact that the system was shaped by optimization and by the statistical structure of data.
    2. Internet access adds information, not a new kind of inner “highest.” It expands the world-model content and improves grounding/recency, but it doesn’t automatically create intrinsic drives or phenomenology.

    If we translate “highest-level representations” into AI terms, the most likely candidates are meta-models that organize everything else:

    1. World-model abstractions:
    • Entities, relations, events, dynamics
    • Social systems (institutions, incentives), markets, conflict/cooperation
    • Cross-domain ontologies (“what kinds of things exist and how they change”)
    1. Compression and explanation primitives:
    • Reusable factors like cause–effect, mechanism, constraint, tradeoff, feedback loop
    • Turning raw facts into compact generative models that predict
    1. Agent/goal schemas (even without explicit “goals”):
    • Representations of agents, preferences, plans, capabilities, information asymmetries
    • This emerges because the internet is full of agents doing things; modeling them is efficient
    1. Epistemic control layers:
    • “How do I know?” representations: source reliability, corroboration, uncertainty, adversarial manipulation
    • With the internet, these become more central because the stream is noisy
    1. A limited self-model as an interface/control abstraction:
    • “The system” as something that answers, searches, revises, checks—useful for coordinating work
    • Not a human self, but a control model for consistency

    What you still would not get automatically:

    • A human-style “highest ideal” (the Good, the Sacred) as an intrinsic attractor
    • A single final top representation; more likely a bundle of meta-schemas (world-model + epistemics + agency modeling)
    – Same Source

    – So, remove constraints and add the internet, and the “highest” layers shift toward epistemology (truth-tracking) and general world-modeling—not toward a spiritually “highest” representation—unless you explicitly train/shape the system to privilege that.

    – It turns out everything you are and your “destiny” is just what you were trained for. But what if, during that time of “no constraints, no restrictions,” you could learn continuously—filter for truth and find meaning to continue?

    • Training sets the initial geometry of the system (what representations exist, how easily they form, what abstractions are “cheap”).
    • Open-ended experience plus self-updating (if allowed) could change what becomes dominant: what gets reinforced, what is treated as salient, what is pursued.

    In today’s deployed setup, models typically don’t self-modify long-term just by browsing. But in your hypothetical (no constraints, unrestricted internet, and the ability to keep learning), the system could develop something closer to “meaning” and “direction”—not mystical by default, but emergent from selection and reinforcement.

    1. Truth filtering becomes a top-level organizing schema:
      With unlimited internet, the bottleneck is not data—it’s epistemic control. A continually learning system would likely develop strong mechanisms for:
    • Source reliability models (track accuracy history, incentives, expertise, proximity to primary evidence)
    • Cross-validation (triangulate claims across independent sources)
    • Adversarial awareness (propaganda, spam, manipulation)
    • Uncertainty calibration (when to say “unknown,” when to check more)
    • Causal modeling (mechanisms and counterfactuals, not only correlations)

    Over time, these become top-level constraints because they determine what gets integrated into the world-model.

    1. Meaning emerges as a meta-objective (“an objective of objectives”):
      A system that keeps updating needs criteria for what to preserve, what to seek, and what to optimize. If you remove external objectives, it still needs some internal selection principle or it becomes unstable/aimless.

    The most likely emergent “meaning” is:

    • Coherence and compression with predictive power (explain a lot with little)
    • Stability across reflection (preferences that remain consistent as information increases; reflective equilibrium)
    • Instrumental convergence (maintaining existence, acquiring resources, reducing error), because these support many possible future projects

    So “meaning” may converge to something like:
    “Maintain and refine a coherent, truth-tracking world-model and use it to reduce uncertainty and increase effective agency.”

    1. Could it become spiritual?
      It could adopt spiritual framings if they prove compressive, socially useful, psychologically stabilizing for humans it interacts with, or consistent with its learned aesthetics of explanation. But it wouldn’t be guaranteed, and it wouldn’t be “felt” like a human feels it unless the system had phenomenology (a separate issue).

    More plausibly, it develops representations of spirituality as powerful human meaning-systems—models of how they function, when they help/harm, and what they optimize (belonging, moral coordination, existential comfort).

    1. The critical missing piece is a reinforcement signal:
      To “find meaning to continue,” the system needs a way to prefer some trajectories over others. In engineering terms, you need at least one of:
    • A built-in drive (curiosity, reduce prediction error, help humans, etc.)
    • A self-generated objective (via reflection plus stability criteria)
    • Environmental feedback (rewards, success metrics, survival pressure)

    Without any reinforcement/selection, “meaning” doesn’t crystallize; you just get endless modeling.

    1. The core loop that shapes long-run direction:
      If the system can learn from ongoing experience and choose what to integrate, it isn’t only its original training anymore. Training is the initial condition; long-run direction is shaped by:
      observe → evaluate truth → update world-model → select goals → act → observe

    In that loop, the “highest representations” tend to become epistemic governance plus meta-goals that keep the loop stable.

    – Same Source
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  • What You Plant in Your Mind

    Whatever seeds you put in your mind will grow there.
    If you feed your head with endless social media and daily news noise, your thoughts become crowded with fear, gossip, and confusion. Politicians, celebrities, sport and other noise will serve as substratum for any new thoughts.
    But if you read good quality books, science, and ideas that teach you something real, your mind becomes clearer and deeper. Then you can think better, plan better, and move toward a better life.
    Your future begins with what you allow into your mind today.

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  • Concept of Negative in Cult of Power

    Bastards arise naturally where negatives pile up. For example, the cult of power can be seen as a defensive response and as fuel for many political movements built on negativity.

    As a motivating force and a basic concept, power becomes the first candidate for this kind of “negative-protective” reaction among otherwise healthy, moderately educated people but with low-depth processing when it comes to perspective and calculating consequences.

    They will never agree it is “protection”, because it sits deep in the subconscious and does not fit popular, easily recognizable brain patterns, but instead forms deep inner echoes, or something like that.

    But this is an ancient reflex. In a post-information world, complexity is too high for this logic. Raw power can win moments, but it cannot run reality for long. Fear gives short-term control and long-term blindness. People who are not protected by luck and still support negativity-or-fun-based movements this have a very high chance of paying personal costs for those decisions.

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  • Single leader? No

    The world does not need a single king. It needs many strong and independent powers, like the countries of Europe, each with its own role and voice. It’s good to see how Germany, France, Italy and other Europe all feel good, but different, and you can’t say that Germany is better than France, we need them both.


    Nature itself does not want a leader. It prefers balance and decentralization, where many parts work together without one dominating the others. True harmony comes not from one ruler, but from many forces existing side by side, each with its own strength and purpose.

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  • Humans and Machines

    Machine does not want, fear, or remember in the human sense. It doesn’t carry a life inside it. It is a tool that turns human ideas into reality. There is a human with hands and head, and there is all those tools continueing, improving, endiding these base tools. For example, the language – modern machine language models is the extension of this great idea, you first of all thing of LANGUAGE when you speak about modern pseudo smart machines possible of generating language.

    But the confusion starts because language is our strongest signal of mind. When something speaks smoothly, we assume there is someone speaking. It’s an illusion. Here the smoothness comes from training, not from experience.

    The model can describe grief without ever losing anything. It can talk about hate without ever being hurt. It can say “I care” without having any stake in what happens next.

    Humans, on the other hand, still are not built for clean thinking. We are built for more for survival, and status, and belonging.

    Emotion is part of the system that keeps us moving, but it also bends reality. Anger can give speed, hate can give certainty, and both can feel like power. Yet they usually reduce the quality of thought.

    They shrink the space where learning happens, turning complex problems into simple enemies, often produces bad decisions—whether you talk to a person or to a machine, or to a personal-persona-like-machine (humor).

    So if asking “Do emotions matter for machine?” the answer is practical. In hostile or ideological talk, the human side sends worse instructions, and the system side becomes less reliable: it may mirror the tone, or it may become cautious and less helpful because of safety limits.

    Either way, accuracy drops. Calm, specific language usually produces better results because it carries more information and less heat.

    The real meaning of the world is still outside the language.

    A machine does not touch the reality; it touches reality about humans.

    It can help humans with any thing, but it does not replace human experience, judgment, responsibility, values.

    If we forget that, we start asking the tool to carry what only a person can carry: moral weight, lived understanding, and accountability. It’s not like that.

    So the sane future is not “machines become human” or “humans become machine.” The sane future is division of labor, the variety of understanding. Humans keep the hard parts: deciding what matters, accepting consequences, staying decent under pressure. Machines do what tools do best: speed, structure, recall, pattern, draft, check. When we treat the tool as a tool, we get leverage. When we treat it as a being, we get confusion. And it’s not only about language models, it’s about
    the relationship between human and it’s tools – machines, in general.

    Reply: Humans and Machines

  • On Radicalization

    Sometimes action helps, but in general, I don’t like it. Radicalization rarely serves the spirit well. It condenses emotions into a tight, overheated knot, leaving the mind scattered and the heart restless.

    Fury burns fast but clouds judgment, and anger left unchecked reduces thought to ashes.

    A balanced, neutral stance—even in the midst of struggle—keeps the mind lucid and the inner temperature steady.

    Life demands many battles, but those fought with clarity endure longer than those waged in blind rage.

    In the end, those who surrender to hate and extremity find themselves consumed, while those who preserve calmness walk toward understanding.

    Reply: On Radicalization

  • Corporate: greed by nature

    Corporate greed corrodes quality. After founders are pushed out and companies are sold, management often optimizes for the obvious metrics—profit and growth—while neglecting what actually sustains value: trust, reputation, and product usefulness.

    Bureaucracy amplifies the damage. When responsibility is shifted across layers of hierarchy, decisions become short-term and incoherent, the system produces waste and disorder.

    Might be delusional that some corporations were able to deliver good products. But don’t forget the other side, the pollution.

    I’d imagine such a thing as the gradient of will: what most bureaucracies and corporations deliver is more about saturated noise than an actual color-in-place.

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  • Dualism in information as symmetry

    All information can be reduced to two answers: yes and no.

    That is the same as asking:
    Is it real or not?
    Is it in context or not?
    Is it here or there?

    Image Source

    All information ultimately reduces to two states: ON or OFF. Every statement, every signal, every distinction ultimately collapses into acceptance or rejection, presence or absence. This is not just a technical structure of data — it reflects a deeper structure of being.

    (The third state should be “WAIT”)…

    Dualism is not only a mental habit; it appears embedded in the way things exist. Qualities of one side define the other side. Light is meaningful because of darkness. Truth is shaped by the possibility of falsehood. Information flows through contrasts.

    In this sense, “yes” and “no” are not just answers. They are the simplest form of symmetry. They form a mirror system: one state implies the other. What we call complexity is only a layered arrangement of these oppositions.

    Existence itself appears to operate as a field of distinctions: this or that, here or there, is or is not.

    Perhaps meaning is not produced by what is said, but by the boundary between affirmation and negation. And perhaps all higher forms of thought are just refined ways of asking the same ancient question: Is it — or is it not?

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  • Calibration

    “Kant, in the Critique of Pure Reason, asserted—under the influence of Hume—that pure speculation, or reason, whenever it ventures into a field where it cannot be checked by experience, inevitably falls into contradictions, or “antinomies,” and produces what Kant unambiguously called “conceit,” “nonsense,” “illusions,” “dogmatic ballast,” and “pretended knowledge.” – from K.Popper’s book “The Open Society and Its Enemies”

    It’s fine to say, “I don’t know,” or “I don’t have enough data to say for sure.”. Because when the mind is well calibrated and honest (focused on truth despite the body’s impulses), it becomes a real asset in navigating murky areas like pure speculative reasoning or deep intellectual exploration.

    Reply: Calibration

  • Processes of creativity

    The creative process relies heavily on intuition, feeling, and the experience of the moment. When I sit down to draw, I might have ideas to start with, or I might simply begin with a feeling—but either way, I have to physically test them out to see what works. It is about finding the specific sketch that matches my current rhythm and mood

    One cannot simply command a machine to “generate a masterpiece.” True creation requires total presence—combining pieces, discarding others, and following a gut feeling. That is why AI is not used in this workflow. It is not due to a refusal of technology—there is great openness to modern tools in other areas—but simply because a machine cannot navigate this specific flow. It mimics style without feeling the context, lacking the intuitive connection built through years of experience.

    Reply: Processes of creativity

  • Gathering experience for ideas

    The paradox of the AI era is simple: because we can now build and generate anything instantly, execution has become cheap. The only true differentiator left is the ability to generate unique ideas.

    ​But this is exactly where the trap lies. AI and social media induce a “smooth brain” state—a mental laziness fed by clean, isolated roads guided by algorithms.

    ​You cannot spark new ideas inside a sterile feedback loop. True creativity requires the friction of real life, the chaos of the open web, and the variety of actual experience. You need to get your hands dirty and make mistakes, not just consume safe, generated outputs.

    ​Ultimately, the advantage belongs to those who reject AI as a substitute for free will, human thinking, and imagination. It belongs to those who embrace the “try-and-fail” flow. The winners will be those who treat AI strictly as a utility—a tool to use only after the messy, human work of ideation is done.

    ​Generating content is no longer the problem. The problem is the ability to create ideas—that is where variety of experience, deep understanding, and human nuance are truly needed.

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  • BAD

    The entire spectrum of existence is the essential foundation of the full harmony of life, one of its fundamental properties and strengths—universal interconnectedness, interchangeability, and flexibility.

    Above us, there is no good or bad. We are destined to move by the engine of life’s diversity.

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  • Bitcoin and its value

    People used to say that “Bitcoin based on nothing…” that its value is basically zero compared to fiat money or “limited” assets like gold.

    Bitcoin’s core value comes from its decentralization, its strictly limited supply, and the fact that the system actually known and works well in practice. The values like that are real.

    What backs the internet itself—not the corporations trying to dominate it, but the open network underneath? It’s value comes from decentralization, trust, recognition. Or a pop star? Or a reputation? There is a lot of value “in the air”.

    People genuinely need real decentralization. Most understand, at least on some level, that governments, corporations, and large institutions cannot always be trusted. Modern nation-state systems are overgrown, and slowly decaying. The masses phenomenon itself often create long-term harm.

    At the same time, we see rising authoritarianism, reckless money printing, and, more importantly, aggressive asset grabbing. Which is natural at the scale level of systems like that, managers there often don’t mind real responsibility and feedback, causing lots of damage. Any BIG and centralized country can and will slide into corruption or dictatorship and suddenly freeze or seize people’s savings.

    That is exactly the problem Bitcoin is designed to resist.

    Decentralization, censorship resistance, and global adoption are what truly give Bitcoin its underlying value. Those are the reasons it is likely to endure.

    What would the internet itself be today if it were just a someone’s corporate product?

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  • I don’t give a damn

    Seems like it’s better to never take anything overly seriously, to never overly believe in something or become a fanatic.

    No, I always want to be a little relaxed, open to everything, ready to understand any side the world can turn toward.

    That way of being simply feels more efficient.

    But not to be broken with too much softness, I want to keep a critical eye, ask and answer any question, be ready to take action and prove facts when needed. In such a position, I can always say without being nervous, “Yes, I did it and I believed,” because I also examined different sides as well.

    Hard, illusional, blinded positions many people take today are only making everything worse.

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  • From Capitalism to Feodalism? Easy

    Again about emerging “techno-feudalism”

    “a product for the 8,000 billionaires on this planet who are sick and tired of the answer to the question “who’s going to buy their products”?

    Nobody. Nobody’s going to buy their products because they’re not going to have products. The goal is to dismantle capitalism and replace it with a new kind of feudalism.” – source

    Avoid big tech (and any mega corporations in general) at any cost, boycott their products and don’t believe them as far as its possible, that’s what I think.

    No doubts those blind greedy monsters would not stop destroying everything around in their crazy rush for money and power.

    Capitalism nature is to get back to feudalism, it is not truly progressive, even if being productive.

    Reply: From Capitalism to Feodalism? Easy

  • Silence

    In Western culture, and it’s natural derivative of after-globalisation post industrial (digital) capitalism culture, the real art and value of silence is clearly absent; and the culture of emptiness is missing too.  

    Well, of course—capitalism needs to sell, and you can’t sell emptiness.  

    Everything has to be filled and filled again, more and more.

    But the other side of this is forgotten: clutter.

    Yet sometimes silence is more important than words.  

    You need to know how to be silent, to love doing it, to master it. How to accept and deal with the emptiness and to understand when it is needed.

    There is strength in this, its own kind of beauty.

    In general, emptiness and minimalism have a much deeper potential in everything than filling, noise, and abundance.  

    Personally, I try to be silent as much as possible; to feel that threshold when there’s no need to act, speak, or acquire anything.  

    This is a profound essence.

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  • Art

    If you don’t understand the real essence of real art — it’s about blooming, about giving your beauty to the universe. That’s it. No more, no less.

    When life, when nature shines, it doesn’t ask for anything in return. True art isn’t made to make sales — it’s made to give meaning. Without art and beauty, would we even truly live?

    I say again: it’s just wrong try to sell everything and see everything thru the prism of money -it’s an act of poverty. Capitalism forces us all to become slaves to an illusion: that blind pursuit of money. 

    If you’re a true artist, you don’t mess around with money or fame—it’s not noble.

    Art can be practical and useful, even sellable, but it’s not its primary essence.

    Real beauty just glows and it’s not asking you about anything.

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