public intellectual vs academic intellectual

Does academia have a monopoly over the world of ideas? Does an intellectual need to be an academician to be taken seriously?

The answer to both of these questions is negative. One reason is due to a trend taking place outside academia and the other reason is due to a trend taking place inside academia.

  • Outside. Thanks to the rise of the digital technologies, it has become dramatically easier to access and distribute information. You do not need to be affiliated with any university to participate in high quality lectures, freely access any journal or book, and exchange ideas.

  • Inside. Einstein considered Goethe to be “the last man in the world to know everything.” Today academia has become so specialized that most academicians have no clue even what their next-door colleagues are working on. This had the side-effect of pushing public intellectuals, and therefore a portion of intellectual activity, outside academia.

I have written a lot about the rise of the digital before. In this post I will be focusing on the second point.

Many of you probably do not even know what it means to be a public intellectual. Don’t worry, I did not neither. After all, we have all gone through the same indoctrination during our education, subtly instilling in us the belief that academia has a monopoly over the world of ideas, and that the only true intellectuals are those residing within it.

Before we start, note that the trends mentioned above are not some short-term phenomena. They are both reflections of metaphysical principles that govern evolution of information, and have nothing to do with us whatsoever.

  • First trend is unstoppable because information wants to be free.

  • Second trend is unstoppable because information wants to proliferate.


A Personal Note

A few readers asked me why I have not considered pursuing an academic career. I actually did, and by doing so, learned the hard way that academia is a suffocating place for people like me, who would rather expand their range than increase their depth.

This is the main reason why I wanted to write this piece. I am pretty sure that there are young folks out there, going through similar dilemmas, burning with intellectual energy but also suffering from extreme discomfort in their educational environments. They should not go through the same pains to realize that the modern university has turned into a cult of experts.

The division of labor is the very organizational principle of the university. Unless that principle is respected, the university simply fails to be itself. The pressure, therefore, is constant and massive to suppress random curiosity and foster, instead, only a carefully channeled, disciplined curiosity. Because of this, many who set out, brave and cocky, to take academe as a base for their larger, less programmed intellectual activity, who are confident that they can be in academe but not of it, succumb to its culture over time.

… It takes years of disciplined preparation to become an academic. It takes years of undisciplined preparation to become an intellectual. For a great many academics, the impulse to break free, to run wild, simply comes too late for effective realization.

Jack Miles - Three Differences Between an Academic and an Intellectual

There is of course nothing wrong with developing a deep expertise in a narrow subject. But societies need the opposite type of intellectuals as well, for a variety of reasons which will be very clear by the end of this post.

When I look back in time to see what type of works had the greatest impact on my life, the pattern is very clear. Without any exception, all such works were produced by public intellectuals with great range and tremendous communication skills. In fact, if I knew I was going to be stranded on a desert island, I would not even bring a single book by an academic intellectual. (Of course, without the inputs of hundreds of specialists, there would not be anything to synthesize for the generalist. Nevertheless it is the synthesis people prefer to carry in their minds at all times, not the original inputs.)

This post is a tribute to the likes of David Brooks (Sociology), Noam Chomsky (Politics), Nassim Nicholas Taleb (Finance), Kevin Kelly (Technology), Ken Wilber (Philosophy), Paul Davies (Physics) and Lynn Margulis (Biology). Thank you for being such great sources of inspiration.

Anyway, enough on the personal stuff. Let us now start our analysis.

We will cycle through five different characterizations, presenting public intellectuals as

  • Amorphous Dilettantes,

  • Superhuman Aspirants,

  • Obsessive Generalists,

  • Metaphor Artists, and

  • Spiritual Leaders.

Thereby, we will see how they

  • enhance our social adaptability,

  • push our individual evolutionary limits,

  • help science progress,

  • communicate us the big picture, and

  • lead us in the right direction.


Public Intellectuals as Amorphous Dilettantes
Enhancing Our Social Adaptability

Every learning curve faces diminishing returns. So why become an expert at all? Why not just suffice with 80 percent competence? Just extract the gist of the subject and then move onto the next. Many fields are so complex that they are not open to complete mastery anyway.

Also, the world is such a rich place. Why blindly commit yourself to a single aspect of it? Monolithic ambitions are irrational.

Yes, it may be the experts who do the actual work to carry the society to greater heights. But while doing so, they end up failing to elevate themselves high enough to see the progress at large. That voyeuristic pleasure belongs only to the dilettantes.

Dilettantes are jacks of all trades, and their amorphousness is their asset.

  • They are very useful in resource stricken and fast changing environments like an early-stage startup which faces an extremely diverse set of challenges with a very limited hiring budget. Just like stem cells, dilettantes can specialize on demand and then revert back to their initial general state when there are enough resources to replace them with experts. (Good dilettantes do not multi-task. They serially focus on different things.)

  • They can act as the weak links inside innovation networks and thereby lubricate into existence greater number of multidisciplinary efforts and serendipities. Just like people conversant in many languages, they can act as translators and unify otherwise disparate groups.

  • They are like wild bacteria that can survive freely on their own at the outer edges of humanity. An expert, on the other hand, can function only within a greater cooperative network. Thus, evolution can always fall back on the wild types if the environment changes at a breakneck speed and destroys all such networks.

It is a pity that the status of dilettantes plummeted in modern age whose characteristic collective flexibility enabled more efficient deployment of experts. After all, as humans, we did not win the evolutionary game because we are the fastest or the strongest. We won because we were overall better than average, because we were versatile and better at adaptation. In other words, we won because we were true dilettantes.

Every 26 million years, more or less, there has been an environmental catastrophe severe enough to put down the mighty from their seat and to exalt the humble and meek. Creatures which were too successful in adapting themselves to a stable environment were doomed to perish when the environment suddenly changed. Creatures which were unspecialized and opportunistic in their habits had a better chance when Doomsday struck. We humans are perhaps the most unspecialized and the most opportunistic of all existing species. We thrive on ice ages and environmental catastrophes. Comet showers must have been one of the major forces that drove our evolution and made us what we are.

Freeman Dyson - Infinite in All Directions (Page 32)

Similarly, only generalist birds like robins can survive in our most urbanized locations. Super-dynamic environments always weed out the specialists.


Public Intellectuals as Superhuman Aspirants
Pushing Our Individual Evolutionary Limits

Humans were enormously successful because, in some sense, they contained a little bit of every animal. Their instincts were literally a synthesis.

Now what is really the truth about these soul qualities of humans and animals? With humans we find that they can really possess all qualities, or at least the sum of all the qualities that the animals have between them (each possessing a different one). Humans have a little of each one. They are not as majestic as the lion, but they have something of majesty within them. They are not as cruel as the tiger but they have a certain cruelty. They are not as patient as the sheep, but they have some patience. They are not as lazy as the donkey—at least everybody is not—but they have some of this laziness in them. All human beings have these things within them. When we think of this matter in the right way we can say that human beings have within them the lion-nature, sheep-nature, tiger-nature, and donkey-nature. They bear all these within them, but harmonized. All the qualities tone each other down, as it were, and the human being is the harmonious flowing together, or, to put it more academically, the synthesis of all the different soul qualities that the animal possesses.

Rudolf Steiner - Kingdom of Childhood (Page 43)

Now, just as animals can be viewed as “special instances” of humans, we can view humans as special instances of what a dilettante secretly aspires to become, namely a superhuman.

Humans minds could integrate the instinctive (unconscious) aspects of all animal minds, thanks to the evolutionary budding of a superstructure called the consciousness, which allowed them to specialize their general purpose unconsciousness into any form necessitated by the changing circumstances.

Dilettantes try to take this synthesis to the next level, and aim to integrate the rationalistic (conscious) aspects of all human minds. Of course, they utterly fail at this task since they lack the next-level superstructure necessary to control a general purpose consciousness. Nevertheless they try and try, in an incorrigibly romantic fashion. I guess some do it just for the sake of a few precious voyeuristic glimpses of what it feels to be a superhuman.

Note that, it will be the silicon-based life - not us - who will complete the next cycle of differentiation-integration in the grand narrative of evolution. As I said before, our society is getting better at deploying experts wherever they are needed. This increased fluidity of labor is entirely due to the technological developments which enable us to more efficiently govern ourselves. What is emerging is a superconsciousness that is coordinating our consciousnesses, and pushing us in the direction of a single unified global government.

“Opte Project visualization of routing paths through a portion of the Internet. The connections and pathways of the internet could be seen as the pathways of neurons and synapses in a global brain” - Wikipedia

“Opte Project visualization of routing paths through a portion of the Internet. The connections and pathways of the internet could be seen as the pathways of neurons and synapses in a global brain” - Wikipedia

Nevertheless there are advantages to internalizing portions of the hive mind. Collaboration outside can never fully duplicate the effects of collaboration within. As a general rule, closer the “neurons”, better the integration. (The “neuron” could be an entire human being or an actual neuron in the brain.)

Individual creators started out with lower innovativeness than teams - they were less likely to produce a smash hit - but as their experience broadened they actually surpassed teams: an individual creator who had worked in four or more genres was more innovative than a team whose members had collective experience across the same number of genres.

David Epstein - Range (Pages 209-210)

Notice that there is a pathological dimension to the superhuman aspiration, aside from the obvious narcissistic undertones. As one engulfs more of the hive mind, one inevitably ends up swallowing polar opposite profiles.

“The wisest human being would be the richest in contradictions, who has, as it were, antennae for all kinds of human beings - and in the midst of this his great moments of grand harmony.”

- Friedrich Nietzsche

“The test of a first-rate intelligence is the ability to hold two opposing ideas in mind at the same time and still retain the ability to function.”

- F. Scott Fitzgerald

In a sense, reality is driven by insanity. It owes its “harmony” and dynamism to the embracing of the contradictory tensions created by dualities. We, on the other hand, feel a psychological pressure to choose sides and break the dualities within our social texture. Instead of expanding our consciousness horizontally, we choose to contract it to maintain consistency and sanity.

“A foolish consistency is the hobgoblin of little minds, adored by little statesmen and philosophers and divines.”

- Ralph Waldo Emerson

“Do I contradict myself? Very well. Then I contradict myself. I am large. I contain multitudes.”

- Walt Whitman

Recall that humans are an instinctual synthesis of the entire animal kingdom. This means that, while we strive for consistency at a rational level, we are often completely inconsistent at an emotional level, roaming wildly around the whole spectrum of possibilities. In other words, from the perspective of an animal, we probably look utterly insane, since it can not tell that there is actually a logic to this insanity that is internally controlled by a superstructure.

“A human being is that insane animal whose insanity has invented reason.”

- Cornelius Castoriadis

Public Intellectuals as Obsessive Generalists
Helping Science Progress

If a specialist is someone who knows more and more about less and less, a generalist is unapologetically someone who knows less and less about more and more. Both forms of knowledge are genuine and legitimate. Someone who acquires a great deal of knowledge about one field grows in knowledge, but so does someone who acquires a little knowledge about many fields. Knowing more and more about less and less tends to breed confidence. Knowing less and less about more and more tends to breed humility.

Jack Miles - Three Differences Between an Academic and an Intellectual


The difference between science and philosophy is that the scientist learns more and more about less and less until she knows everything about nothing, whereas a philosopher learns less and less about more and more until he knows nothing about everything.

Dorion Sagan - Cosmic Apprentice (Page 2)

What separates good public intellectuals from bad ones is that the good have a compass which guide them while they are sailing through the infinite sea of knowledge. Those without a compass do not at all display any humility. Instead, they suffer from gluttony, which is an equally deadly sin as pride, which plagues the bad academic intellectuals whose expertise-driven egos easily spill over to areas they have no competence in.

The compass I am talking about is analogical reasoning, the kind of reasoning needed for connecting the tapestry of knowledge. Good public intellectuals try to understand the whole geography rather than wonder around mindlessly like a tourist. They have a pragmatic goal in mind, which is to understand the mind of God. They venture horizontally in order to lift themselves up to a higher plateau by discovering frameworks that apply to several subject areas at once.

By definition, one can not generalize if one is stuck inside a single silo of knowledge. But jumping around too many silos does not help neither. Good public intellectuals dig deep enough into a subject area to bring their intuition to a level that is sufficient to make the necessary outside connections. Bad ones spread themselves too thin, and eventually become victims of gluttony.

As I explained in a previous blog post, science progresses via successful unifications. Banishing of generalists from the academia therefore had the effect of slowing down science by drowning it in complete incrementalism. In the language of Freeman Dyson, today, academia is breeding only “frogs”.

Birds fly high in the air and survey broad vistas of mathematics out to the far horizon. They delight in concepts that unify our thinking and bring together diverse problems from different parts of the landscape. Frogs live in the mud below and see only the flowers that grow nearby. They delight in the details of particular objects, and they solve problems one at a time.

Freeman Dyson - Birds and Frogs (Page 37)

Without the “birds” doing their synthesizing and abstracting, we can not see where the larger paradigm is evolving towards, and without this higher level map, we can not accelerate the right exploratory paths or cut off the wrong ones. More importantly, losing sight of the unity of knowledge creates an existential lackluster that sooner or later wears off everyone involved in pursuit of knowledge, including the academic intellectuals.

Consciousness discriminates, judges, analyzes, and emphasizes the contradictions. It's necessary work up to a point. But analysis kills and synthesis brings back to life. We must find out how to get everything back into connection with everything else.

- Carl Gustav Jung, as quoted in The Earth Has a Soul (Page 209)

True, academic intellectuals are occasionally allowed to engage in generalization, but they are forbidden from obsessing too much about it and venturing too far away from their expertise area. This prevents them from making fresh connections that could unlock their long-standing problems. That is why most paradigm shifts in science and technology are initiated by outsiders who can bring in brand new analogies to the field. (Generalists are also great at taming the excessive enthusiasm of specialists who often over-promote the few things that they are so personally invested in.) For instance, both Descartes and Darwin were revolutionaries who addressed directly (and eloquently) to the general public, without any university affiliations.

Big picture generalities are also exactly what the public cares about:

There are those who think that an academic who sometimes writes for a popular audience becomes a generalist on those occasions, but this is a mistaken view. A specialist may make do as a popularizer by deploying his specialized education with a facile style. A generalist must write from the full breadth of a general education that has not ended at graduation or been confined to a discipline. If I may judge from my ten years' experience in book publishing, what the average humanities academic produces when s/he sets out to write for "the larger audience" is a popularizer's restatement of specialized knowledge, while what the larger audience responds to is something quite different: It is specialized knowledge sharply reconceptualized and resituated in an enlarged context.

Jack Miles - Three Differences Between an Academic and an Intellectual

While nitty gritty details change all the time, the big picture evolves very slowly. (This is related to the fact that it becomes harder to say new things as one moves higher up in generality.) Hence the number of good public intellectuals needed by the society is actually not that great. But finding and nurturing one is not easy, for the same reason why finding and nurturing a potential leader is not easy.

Impostors are another problem. While bad academic intellectuals are quickly weeded out by their community, bad public intellectuals are not, because they do not form a true community. Their ultimate judge is public, whose quality determines the quality of who becomes popular, in a fashion that is not too dissimilar to how the quality of leaders correlates with the quality of followers.


Public Intellectuals as Metaphor Artists
Communicating Us the Big Picture

As discussed in a previous blog post, generalizations happen through analogies and result in further abstraction. Metaphors, on the other hand, result in further concretization through the projection of the familiar onto the unfamiliar. That is why they are such great tools for communication, and why it is often pedagogically necessary to follow a generalization up with a metaphor to ground the abstract in the familiar.

While academic intellectuals write for each other, a public intellectual writes for the greater public and therefore has no choice but to employ spot-on metaphors to deliver his message. He is lucky in the sense that, compared to the academic intellectual, he has knowledge of many more fields and therefore enjoys a larger metaphor reservoir.

Bad academic intellectuals mistake depth with obscurity, as if something expressed with clarity can not be of any significance. They are often proud of being understood by only a few other people, and invent unnecessary jargon to keep the generalists at bay, and to create an air of originality. (Of course, an extra bit of jargon is inevitable, since as one zooms in, more phenomena become distinguishable and worth attaching new names.)

The third difference between an intellectual and an academic is the relative attachment of each to writing as a fine rather than a merely practical art. "If you happen to write well," Gustave Flaubert once wrote, "you are accused of lacking ideas."

… An academic is concerned with substance and suspicious of style, while an intellectual is suspicious of any substance that purports to transcend or defy style.

Jack Miles - Three Differences Between an Academic and an Intellectual

While academic intellectuals obsess about discovery and originality, public intellectuals obsess about delivery and clarity.

  • Academic intellectuals worry a lot about attaching their names to new ideas. So, in some sense, it is natural for them to lack lucidity. After all, it takes a long time for a new born idea to mature and find its right spot in the grand tapestry of knowledge.

“To make a discovery is not necessarily the same as to understand a discovery.”

- Abraham Pais

It is also not surprising for professors to prefer to teach from (and refer to) the original texts rather than the more clear secondary literature. Despite the fact that only a minuscule number of students end up staying in academia, professors design their courses as if the goal is to train future professors who, like themselves, will value originality over clarity. Students are asked to trace all ideas back to their originators, and are given the implicit guarantee that they too will be treated with the same respect if they successfully climb the greasy pole.

It is actually quite important for a future academician to witness the chaotic process behind an idea’s birth (inside a single mind) and its subsequent maturation (out in the community). In formalistic subjects like mathematics and physics, where ideas reach their peak clarity at a much faster speed, the pedagogical pressure to choose the conceptual route (rather than the historical route) for teaching is great. So the students end up reading only the most polished material, never referring back to the original papers which contain at least some traces of battle scars. They are accelerated to the research frontier, but with much less of an idea about what it actually means to be at the frontier. Many, expecting a clean-cut experience, leave academia disillusioned.

  • Public intellectuals do not get their names attached to certain specific discoveries. Their main innovation lies in building powerful bridges and coining beautiful metaphors, and ironically, the better they are, the more quickly they lose ownership over their creations.

Effective metaphors tend to be easily remembered and transmitted. This is, in fact, what enables them to become clichés.
 
James Geary - I is an Other (Page 122)

Hence, while academic intellectuals are more like for-profit companies engaged in extractable value creation, public intellectuals are more like non-profit companies engaged in diffused value creation. They inspire new discoveries rather than make new discoveries themselves. In other words, they are more like artists, who enrich our lives in all sorts of immeasurable ways, and get paid practically nothing in return.

All ideas, including those generated by academic intellectuals, either eventually die out, or pass the test of time and prove to be so foundational that they reach their final state of maturity by becoming totally anonymized. Information wants to be free, not just in the sense of being accessible, but also in the sense of breaking the chains tied to its originator. No intellectual can escape this fact. For public intellectuals, the anonymization process happens much faster, because the public does not really care much about who originated what. What about the public intellectuals themselves, do they really care? Well, good ones do not, because their main calling has always been public impact (rather than private gain) anyway.

The dichotomy between those who obsess about “discovery and originality” and those who obsess about “delivery and clarity” has been very eloquently characterized by Rota within the sphere of mathematics, as the dichotomy between problem solvers and theorizers:

To the problem solver, the supreme achievement in mathematics is the solution to a problem that had been given up as hopeless. It matters little that the solution may be clumsy; all that counts is that it should be the first and that the proof be correct. Once the problem solver finds the solution, he will permanently lose interest in it, and will listen to new and simplified proofs with an air of condescension suffused with boredom.

The problem solver is a conservative at heart. For him, mathematics consists of a sequence of challenges to be met, an obstacle course of problems. The mathematical concepts required to state mathematical problems are tacitly assumed to be eternal and immutable.

... To the theorizer, the supreme achievement of mathematics is a theory that sheds sudden light on some incomprehensible phenomenon. Success in mathematics does not lie in solving problems but in their trivialization. The moment of glory comes with the discovery of a new theory that does not solve any of the old problems but renders them irrelevant.

The theorizer is a revolutionary at heart. Mathematical concepts received from the past are regarded as imperfect instances of more general ones yet to be discovered. Mathematical exposition is considered a more difficult undertaking than mathematical research.

Gian-Carlo Rota - Problem Solvers and Theorizers

Public Intellectuals as Spiritual Leaders
Leading Us in the Right Direction

Question: Who are our greatest metaphor artists?
Answer: Our spiritual leaders, of course.

Reading sacred texts too literally is a common rookie mistake. They are the most metaphor-dense texts produced by human beings, and this vagueness is a feature, not a bug.

  • Longevity. Thanks to their deliberately vague language, these texts have much higher chances of survival by being open to continuous re-interpretation through generations.

  • Mobilization. Metaphors are politically subversive devices, useful for crafting simple illuminating narrations that can mobilize masses.

“A good metaphor is something even the police should keep an eye on."

- Georg Christoph Lichtenberg

  • Charisma. Imagine a sacred text written like a dry academic paper, referring to other authors for trivially-obvious facts and over-contextualizing minute shit. Who would be galvanized by that? Nobody of course. Charismatic people anonymize mercilessly, and both fly high and employ plenty of metaphors.

Question: Who are our most obsessive generalists?
Answer: Again, our spiritual leaders.

Spiritual people care about the big picture, literally the biggest picture. They want to probe the mind of God, and as we explained in a previous post, the only way to do that is through generalizations. This quest for generalization is essentially what makes spiritual leaders so humble, visionary and wise.

  • Humble. It suffices to recall the second Jack Miles quote: “Knowing more and more about less and less tends to breed confidence. Knowing less and less about more and more tends to breed humility.”

  • Visionary. Morgan Housel says that “the further back in history you look, the more general your takeaways should be.” I agree a hundred percent. In fact, the dual statement is also correct: The further you venture into the future, the more general your predictions should be. In other words, the only way to venture into far future is by looking at big historical patterns and transforming general takeaways into general predictions. That is why successful visionaries and paradigm shifters are all generalists. (There is now an entire genre of academicians trying to grasp why academicians are so bad at long-term forecasts. In a nutshell, experts beat generalists in short-term forecasting through incorporation of domain-specific insights, but this advantage turns into a disadvantage when it comes to making long-term forecasts because, in the long run, no domain can be causally isolated from another.)

Kuhn shows that when a scientific revolution is occurring, books describing the new paradigm are often addressed to anyone who may be interested. They tend to be clearly written and jargon free, like Darwin's Origin of Species. But once the revolution becomes mainstream, a new kind of scientist emerges. These scientists work on problems and puzzles within the new paradigm they inherit. They don't generally write books but rather journal articles, and because they communicate largely with one another, a specialized jargon develops so that even colleagues in adjacent fields cannot easily understand them. Eventually the new paradigm becomes the new status quo.

Norman Doidge - The Brain’s Way of Healing (Page 354)

  • Wise. The dichotomy between academic and public intellectuals mirrors the dichotomy between genius and wisdom. Sudden flashes of insight always help, but there is no short-cut to the big picture. You need to accumulate a ton of experience across different aspects of life. Academic culture, on the other hand, is genius-driven and revolves around solving specific hard technical problems. That is why academic intellectuals get worse as they age, while public intellectuals get better. This, by the way, poses a huge problem for the future of academia:

As our knowledge deepens and widens, so it will take longer to reach a frontier. This situation can be combated only by increased specialization, so that a progressively smaller part of the frontier is aimed at, or by lengthening the period of training and apprenticeship. Neither option is entirely satisfactory. Increased specialization fragments our understanding of the Universe. Increased periods of preliminary training are likely to put off many creative individuals from embarking upon such a long path with no sure outcome. After all, by the time you discover that you are not a successful researcher, it may be too late to enter many other professions. More serious still, is the possibility that the early creative period of a scientists life will be passed by the time he or she has digested what is known and arrived at the research frontier.

John D. Barrow - Impossibility (Page 108)

Question: Who are our best superhuman aspirants?
Answer: Yet again, our spiritual leaders.

I guess this answer requires no further justification since most people treat their spiritual leaders as superhumans anyway. But do they treat them in the same sense as we have defined the term? Now that is good question!

Remember, we had defined superhuman as an entity possessing a superconsciousness that can specialize a general purpose consciousness into any form necessitated by the changing circumstances. In other words, a superhuman can simulate any form of human consciousness on demand. According to Carl Gustav Jung, Christ was close to such an idealization.

For Jung, Christianity represented a necessary stage in the evolution in consciousness, because the divine image of Christ represented a more unified image of the autonomous human self than did the multiplicity of earlier pagan divinities.

David Fideler - Restoring the Soul of the World (Page 79)

Jesus also seems to have transcended the social norms of his times, and showcased the typical signs of insanity that comes with the territory, due to the internalization of too much multiplicity in the psychic domain.

… all great spiritual teachers, including Jesus and Buddha, challenged social norms in ways that could have been judged insane. Throughout the history of spirituality, moreover, some spiritual adepts have acted in especially unconventional, even shocking ways. This behavior is called holy madness, or crazy wisdom.

Although generally associated with Hinduism and Buddhism, crazy wisdom has cropped up in Western faiths, too. After Saul became Saint Paul, he preached that a true Christian must “become a fool that he may become wise.” Paul’s words inspired a Christian sect called Fools for Christ’s Sake, members of which lived as homeless and sometimes naked nomads.

John Horgan - Rational Mysticism (Page 53)

Was Jesus some sort of an early imperfect carbon-based version of the newly emerging silicon-based hive mind? A bizarre question indeed! But what is clear is that, any superhuman we can create out of flesh, no matter how imperfect, is our best hope for disciplining the global technological layer that is now emerging all over us and controlling us to the point of suffocation.

Technology is a double-edged sword with positive and negative aspects.

  • Positive. Gives prosperity. Increases creative capabilities.

  • Negative. Takes away freedom. Increases destructive capabilities.

What is strange is that we are not allowed to stop its progression. (This directionality is a specific manifestation of the general directionality of evolution towards greater complexity.) There are two main reasons.

  • Local Reason. If you choose not to develop technology yourself, then someone else will, and that someone else will eventually choose to use its newly discovered destructive capabilities on you to engulf you.

  • Global Reason. Even if we somehow manage to stop developing technology in a coordinated fashion, we will eventually be punished for this decision when we get hit by the next cosmic catastrophe and perish like the dinosaurs for not building the right defensive measures.

So we basically need to balance power with control. And, just as all legal frameworks rest on moral ones, all forms of self-governance ultimately rest upon spiritual foundations. As pointed out in an earlier post, technocratic leadership alone will eventually drive us towards self-destruction.

Today, what we desperately need is a new generation of spiritual leaders who can integrate us a new big-picture mythology, conforming to the latest findings of science. (Remember, as explained in an earlier post, science helps religion to discover its inner core by both limiting the domain of exploration and increasing the efficacy of exploration.) Only such a mythology can convince the new breed of meritocratic elites to discipline themselves and keep tabs on our machines, and galvanize the necessary public support to give these elites sufficient breathing room to tackle the difficult challenges.

Of course, technocratic leadership is exactly what academic intellectuals empower and spiritual leadership is exactly what public intellectuals stand for. (Technocratic leaders may be physically distant, operating from far away secluded buildings, but they are actually very easy to relate to on a mental level. Spiritual leaders on the other hand are physically very close, leading from the ground so to speak, but they are operating from such an advanced mental level that they are actually very hard to relate to. That is why good spiritual leaders are trusted while good technocratic leaders are respected.)

As technology progresses and automates more and more capabilities away from us, the chasm between the two types of intellectuals will widen.

  • Machines have already become quite adept at vertical thinking and have started eating into the lower extremities of the knowledge tree, forcing the specialists (i.e. academic intellectuals) to collaborate with them. (Empowerment by the machines is partially ameliorating the age problem we talked about.) Although machines look like tools at the moment, they will eventually become the dominant partner, making their human partners strive more and more to preserve their relevancy.

  • Despite being highly adaptable dilettantes, public intellectuals are not safe neither. As the machines become more adept at lateral thinking, they will feel pressure from below, just as academic counterparts are feeling pressure from above.

Of course, our entire labor force (not only the intellectuals) will undergo the same polarization process and thereby split into two discrete camps with a frantic and continually diminishing gray zone in between:

  • Super generalists who are extremely fluid.

  • Super specialists who are extremely expendable.

This distinction is analogous to the distinction between generalized stem cells and specialized body cells, who are not even allowed to replicate.

“The spread of computers and the Internet will put jobs in two categories. People who tell computers what to do, and people who are told by computers what to do.”

- Marc Andreessen

In a sense, Karl Marx (who thought economic progress would allow everyone to be a generalist) and Herbert Spencer (who thought economic progress would force everyone to become a specialist) were both partially right.

We need generalist leaders with range to exert control and point us (and increasingly our machines) in the right direction, and we need specialist workers with depth to generate growth and do the actual work. Breaking this complimentary balance, by letting academic intellectuals take over the world of ideas and technocratic leaders take over the world of action, amounts to being on a sure path to extinction via a slow loss of fluidity and direction.

ikinci ligden üçüncü lige düşüyoruz

Abidik gubudik meselelerle uğraşmaktan dev bir devrimi kaçırıyoruz. Bu uyuşukluğun bedeli çok ama çok ağır olacak.

Dünya ekonomik tarihi üçüncü geçiş evresini yaşıyor. Tarım devrimi çoktan bitti. Sanayi devrimi ise sonlara geldi. Ülkeler arası ekonomik farklılıklar iyice açıldı. Şimdi ise sıra dijital devrimde.

Dijital devrim öncesi dünya dört lige ayrılmıştı:

  1. Sanayi devriminin liderleri (Gelişmiş ülkeler)

  2. Sanayi devrimini geriden takip edenler (Gelişmekte olan ülkeler)

  3. Tarım devriminde takılıp kalanlar (Üçüncü dünya ülkeleri)

  4. İlkel diye nitelendirilen tarım öncesi toplumlar

Türkiye, Atatürk’ün devrimsel politikaları sayesinde 3. ligden 2. lige çıkmayı başardı, fakat 1. lige hiç bir zaman çıkamadı ve Batı’ya bir türlü yetişemedi.

Dijital devrimle birlikte yeni bir lig doğuyor ve bu sefer dünya beşe ayrılıyor:

  1. Dijital devrimin liderleri (Amerika, Çin)

  2. Dijital devrimi geriden takip edenler (Avrupa)

  3. Sanayi devriminde takılıp kalanlar (Türkiye)

  4. Tarım devriminde takılıp kalanlar

  5. İlkel diye nitelendirilen tarım öncesi toplumlar

Rekor sürelerde inanılmaz zenginlikler yaratılıyor. Çeşitli dikeyler hızlıca domine ediliyor. Devasa bir yer kapmaca oyunu oynanıyor ve biz maalesef sahnede bile değiliz.

TikTok adlı Çinli bir sosyal medya şirketi 2-3 sene içerisinde 100 milyar dolar değerlemeyi geçerken, bizim borsamızdaki bütün şirketlerin toplam (öz sermaye) değeri 150 milyar dolar bile etmiyor. TikTok sadece bir örnek tabi. Onun gibi milyar dolar üstü (unicorn) değerlemeye sahip yüzlerce yeni teknoloji girişimi var.

Bizden henüz sadece bir tane unicorn çıkabildi, o da bir kaç hafta önce Amerikan oyun şirketi Zynga’ya 1.8 milyar dolara satılan Peak Games. Fakat bugün hala Koç Holding gibi aile şirketleri konuşuluyor, örnek gösteriliyor.

Not: Karşılaştırılan değer öz sermaye değeridir.

Not: Karşılaştırılan değer öz sermaye değeridir.

Aradaki farka bakar mısınız? Resim net. Her yeni devrim bir öncekinden

  • çok daha kısa sürede,

  • çok daha az insanla,

  • çok daha fazla değer

yaratıyor. Böylece, sadece dünyada değil, ülkelerin kendi içlerinde de eşitsizlik artıyor. (Dijital devrim, sanayi devrimi gibi bir çok sosyal travmayla birlikte geliyor.)

Atatürk gibi büyük düşünüp reformist bir düşünce yapısına geçmemiz gerekiyor. Yoksa dijital devrimi de kaçıracağız ve 2. ligden 3. lige düşeceğiz. Ve bu düşüşün bedeli, yazının başında dediğim gibi, çok ağır olacak. Nasıl Çin sanayi devrimini kaçırdığı için ezildiyse, biz de farklı formlarda ezileceğiz.

China used to be a world economic power. However, it missed its chance in the wake of the Industrial Revolution and the consequent dramatic changes, and thus was left behind and suffered humiliation under foreign invasion. Things got worse especially after the Opium war, when the nation was plagued by poverty and weakness, allowing others to trample upon and manipulate us. We must not let this tragic history repeat itself.

Xi Jinping - Governance of China (Page 189)

Peki ne yapmalıyız?

Öncelikle, artık geçerliliğini yitirmiş metriklere bakmamalıyız:

  • Gayri Safi Milli Hasıla. Bu metrik sadece bugünkü nakit akışlarını algılayabiliyor. Oysa teknoloji şirketlerinin değeri gelecekteki nakit akışlarıyla belirleniyor. TikTok gibi bir şirketin sıfırdan 100 milyar dolar değere erişmesi GSMH’de çok minimal bir etki yaratıyor.

  • Dünya Sıralamaları. Sıralamaların artık bir önemi kalmadı. Teknoloji üssel hızda ilerlediği için ekonomik dağılımlara etkisi doğrusal olmuyor. Ardışık ülkeler arasındaki makas hızla açılıyor ve yukarıdakilere yetişmek gittikçe zorlaşıyor. (Artık güçlülerin güçsüzlere karşı savaş açmasına gerek kalmadı. Güçlüler o kadar yüksek hızda ilerliyorlar ki, diğerlerini saçma meselelerle oyalamaları yetiyor.)

Sosyal ve finansal sermayemizi doğru yönetmeliyiz:

  • Sosyal Sermaye. Dijital devrime katılabilmemiz için kaliteli gençlere ihtiyacımız var. Parayı basıp teknoloji satın alabiliyorsunuz, ama parayı basıp teknoloji üretemiyorsunuz. Teknolojiyi ancak çok kaliteli insanlarla üretebiliyorsunuz. Bizim gençler ne durumda diye bakarsak, tablo hiç iç açıcı değil. 25-34 yaş aralığındaki gençlerimizin yarısına yakını lise mezunu bile değil. Eğitim sistemimizin genel kalitesi de yerlerde sürünüyor. PISA skorlarımız hala OECD ortalamasının altında seyrediyor.

    Teknoloji çok hızlı evrilen, ucu açık bir sektör. Dolayısıyla öğrenmekten keyif alan, sürekli kendini geliştirebilen, hayal kurabilen, ufku geniş, yaratıcı insanlar gerektiriyor. Bizimki gibi, ezbere dayalı, basma kalıp öğrenci yetiştiren, sanayi devrimi için optimize edilmiş eski eğitim sistemleri yetersiz kalıyor.

  • Finansal Sermaye. Türkiye’de eski teknoloji zenginlerinden oluşan bir sermaye sınıfı yok. Sermayenin büyük çoğunluğu sanayi devrimi içinde faaliyet gösteren, klasikleşmiş işlerle uğraşan aile şirketlerinin elinde. Doğal olarak onlar da anlamadıkları işlere yatırım yapmak istemiyorlar. Sürekli ekonomik krizlerle boğuşmak zorunda kaldıkları için de, risk algıları zaman içerisinde (gene doğal olarak) aşırı muhafazakarlaşmış durumda. Tabi bu mentaliteyle teknoloji yatırımı yapamıyorsunuz. Başarısızlığa tahammül edebilmeniz, deneme yanılmalardan korkmamanız gerekiyor.

    Kısa vadede en mantıklı çözüm devletin mevcut teknoloji yatırımcılarına sahip çıkması, yatırım kararlarını bu kişilere bırakıp onların da ellerini taşın altına koymasını bekleyerek finansman sağlaması.

Her iki konuda da dışarı sızıntıları mümkün mertebe azaltmalıyız:

  • Sosyal Sermaye. Türkiye’de iyi liseler, üniversiteler yok mu? Var tabii ki, ama yetiştirdiğimiz en iyi beyinleri maalesef devamlı yurtdışına kaybediyoruz, özellikle de kodcularımızı. Hatta dijital dünyada yurtdışına çalışmanız için artık yurtdışına taşınmanıza gerek yok. Gençler tatil beldelerine taşınıp, keyifli hayatlar sürüp, bir yandan da oturdukları yerden Amerika’ya, Avrupa’ya çalışıp dolar üzerinden maaşlar alıyorlar. Kurlar da çok kötü olduğu için yurtiçindeki şirketler bu maaşlarla rekabet edemiyorlar.

    Ülkemizin genel anlamda cazibesini yitirdiği de bir gerçek. İfade özgürlüğü ve adalet konularındaki sıkıntılar, bitmek bilmeyen politik gerginlikler ve ekonomik çalkantılar en vatansever çocukları bile hayattan bezdirdi. (Anketlere göre gençlerimizin yarısı yurtdışına kapak atmak istiyor.) Bunlar hemencecik düzelecek meseleler değil tabii ki, ama beyin göçünü durduramazsak havanda su dövmekten ileri gidemeyiz. Zehir gibi çocuklarımız var. Bir sürü emek verip, masraf yapıp onları tespit ediyor ve eğitiyoruz, sonra da başka ülkelere kaptırıyoruz. Bir yandan Batı’ya yetişmeye çalışıyoruz, bir yandan da Batı’ya bedava kaliteli insan kaynağı sağlıyoruz. Çılgınlık gerçekten…

    Bu arada Orta Doğu’da hala biraz karizmamız var. En azından savaştan kaçan çocuklar için iyi bir destinasyon sayılırız. Bu bölgelerden iyi yetenekleri kapmalı, onları ülkemizde tutmak için elimizden geleni yapmalıyız.

  • Finansal Sermaye. Sadece genç yetenekleri değil, teknolojide başarı sağlayan girişimcilerimizi de sürekli yurtdışına kaybediyoruz. Bir kısmı, burada işlerini biraz büyüttükten sonra daha büyük finansal sermayelere erişebilmek için gidiyor. Bir kısmı da şirketlerini satıp (“exit edip”) köşeyi döndükten sonra daha kaliteli yaşam koşulları için gidiyor. Oysa ekosistemimizin gelişebilmesi için bu başarılı kişilerin hem deneyimsel anlamda, hem de finansal anlamda yeni girişimcilere destek olması gerekiyor. Silikon Vadisi’ni Silikon Vadisi yapan faktör bu geribesleme döngüsüdür.

    Tabi ülkemizi yurtdışındaki yabancı yatırımcılar için de cazibeli hale getirmemiz şart. Esas deneyim ve sermaye onlarda. Bizi çok hızlandırabilirler, fakat şu an ülkemize dokunmak dahi istemiyorlar.

Bir yandan dünya dijitalleşiyor, dijitalleştikçe soyutlaşıyor ve elle dokunulabilen (toprak gibi) faktörlerin önemi azalıyor. Bir yandan da bizim gibi ülkeler hala vatanı toprakla özdeşleştiriyor, beton ekonomisinden medet umuyor, yer altından çıkacak süprizleri bekliyor. (Bor? Petrol?) Turizm sevdamızı bile doğal kaynakların pazarlaması olarak yorumlayabilirsiniz.

İnanması güç ama, üzerinde bulunduğumuz toprakların boş değeri hala bu topraklar üzerinde gerçekleşen ekonomik aktivitenin toplam değerinden kat ve kat daha fazla. Bugün dünya politikasında birazcık sözümüz geçiyorsa, o da gene coğrafyamızdan, fiziki konumumuzun bize sağladığı stratejik önemden kaynaklanıyor. Özetle hala Atatürk’ün ekmeğini yiyoruz, bize bıraktığı mirası sağmaya devam ediyoruz.

Aslında biz hala Atatürk’ün yaşadığı dönemlerde, yani 20. yüzyılın başlarında yaşıyoruz. Siz bakmayın takvimin 2020 yılını gösterdiğine. Toplumların esasta hangi tarihte yaşadığı takvimin ne gösterdiğinden değil, insanların ne ürettiğinden belli olur. Elinde iPhone ile gezen bir çok vatandaşımız aslında zihnen hala 20. yüzyıl, hatta 19. yüzyılda dolanıyor.

Üçüncü lige düşmek istemiyorsak artık insana yatırım yapmamız, insana değer vermemiz, onu yüceltmemiz gerekiyor.

Bu sonuca ekonomik paradigma değişiklikleriyle varıyor olmamız da üzücü gerçekten. Yunus Emre gibilerinin yeşerdiği bu topraklarda hala insana gereken değerin verilmiyor olması şaşkınlık verici. Kültürel anlamda özümüze dönsek zaten her şey yoluna girecek herhalde, ne dersiniz?

satori as a phase transition

I am a big fan of Absolute Idealism which basically posits that the mind mirrors the reality and the logic of the world is the same as the logic of the mind. (See Hegel.) The world is comprehensible because it too is a mind, and all minds are complex adaptive systems.

The hardest thing to understand is why we can understand anything at all.
- Albert Einstein

There are levels in understanding for the same reason why there are levels in any complex dynamics. Thoughts constitute a world onto themselves and transformative learning experiences create cascading effects that eventually reach to the core of what holds your belief system together. These irreversible experiences (which arise at the moments when you are transitioning to higher levels) are like big earthquakes. They are rare but easy to recognize. (When such earthquakes take place in the collective mind, we call them paradigm shifts.) In Buddhism, Satori is characterized as one such extreme peak experience.

Satori is the sudden flashing into consciousness of a new truth hitherto undreamed of. It is a sort of mental catastrophe taking place all at one, after much piling up of matters intellectual and demonstrative. The piling has reached a limit of stability and the whole edifice has come tumbling to the group, when, behold, a new heaven is open to full survey...

When a man's mind is matured for satori it tumbles over one everywhere. An articulate sound, an unintelligent remark, a blooming flower, or a trivial incident such as stumbling, is the condition or occasion that will open his mind to satori. Apparently, an insignificant event produces an effect which in importance is altogether out of proportion. The light touch of an igniting wire, and an explosion follows which will shake the very foundation of the earth. All the causes, all the conditions of satori are in the mind; they are merely waiting for the maturing. When the mind is ready for some reasons or others, a bird flies, or a bell rings, and you at once return to your original home; that is, you discover your now real self. From the very beginning nothing has been kept from you, all that you wished to see has been there all the time before you, it was only yourself that closed the eye to the fact. Therefore, there is in Zen nothing to explain, nothing to teach, that will add to your knowledge. Unless it grows out of yourself no knowledge is really yours, it is only a borrowed plumage.

D. T. Suzuki - An Introduction to Zen Buddhism (Pages 65)

The contrast between the cultivational mindset of the East and the transactional mindset of the West becomes very stark here. Satori is not a piece of information and enlightenment is not transferrable. This arises immediate jealousy and subsequent skepticism in most unenlightened Western minds. “What do you do different now?” they ask, as if it is possible to instantly reverse-engineer a self-organized criticality that took years of strenuous effort to build.

Transfer of wisdom requires preparedness. Transfer of information does not. (This is why education is so resistant to technological improvements.) Generally speaking, wiser the message, lower the probability of a successful transmission. You can not expect a student to make several jumps at once. True learning always happens one level at a time. Otherwise, internalization can not take place and what is “learned” starts to look more like a “borrowed plumage”.

Wisest thinkers are read the most but retained the least, because we all like taking short-cuts unless someone actively prevents us from doing so.

A good mentor both widens your horizon and restricts your reach. Today’s obsession with individual freedom is preventing parents from seeing the value of restriction in education. They want teachers to only widen horizons, but forget that unbalanced guidance can actually be worse than leaving the students alone and completely self-guided. In a completely free learning environment something magical starts happen: The right path to wisdom starts to self-assemble itself. What a good teacher does is to catalyze this natural self-assembly process. Wrong guidance, on the other hand, is too accelerative (or artificial) and result in the introduction of subjects (and authors) too early for successful retainment. It creates illusions of learning, and even worse turns students permanently away from certain subjects (and authors) because of misunderstandings or feelings of inadequacy.

Do you remember yourself absolutely falling in love with certain books and then falling out of love with them later on? This is a completely natural process. It actually means you are on the right path and making progress. In a sense, every non-fiction book is meant to be superseded, like small phase transitions. (Good fiction on the other hand can stay relevant for a long time.) This however does not mean that you should be less thankful to the authors of those books that you no longer enjoy. They were the necessary intermediary steps, and without them you would not be where you are here today. Of course, the journey looks nonlinear, funny and misguided in retrospect, but that is exactly how all natural journeys look like. Just observe how evolution reached to its current stage, how completely alien and unintuitive the microcosmos is!

And don’t forget, the future (in the world of both thoughts and things) always remains open and full of surprises. Learning is a never-ending process for us mortals. Enjoy it while it lasts.

aile şirketlerinin evrimi

Türkiye’de sermayenin büyük bir kısmı aile şirketlerinin elinde. Dolayısıyla, bu şirketlerin,

  • nerelere yatırım yaptığı genel ekonomiye yön veriyor, ve

  • değişen şartlara adapte olabilirliği de genel ekonominin evrilebilirliğini, yani gelecekteki sağlığını belirliyor.

Ülkemizde maalesef (biraz kültürel sebeplerden ve biraz da coğrafyanın getirdiği sertlikten ötürü) aile şirketlerinin başlarındaki liderler yeni liderler yetiştiremiyor ve arkalarından gelen jenerasyonun önünü açamıyor.

Bu konuda gözlemlediğim kadarıyla iki önemli hata yapılıyor.


Hata 1: Yönetilmeyi Öğreterek Yönetmeyi Öğretemezsiniz

Bir çok büyük patron, çocuklarının sahip oldukları organizasyonu alttan yukarı doğru öğrenmesini istiyor. Bu isteğin arkadasında bir kaç kaygı yatıyor.

  1. İnsan bilmediği işi yönetemez.

  2. İnsan birlikte omuz omuza çalışmadığı kişiye karşı empati kuramaz ve dolayısıyla onu efektif şekilde yönetemez.

  3. İnsan fanusta yaşarsa şımarır, gerçeklerden uzaklaşır.

Bunlar ne kadar güzel düşünceler olsa da, yönetmeyi öğrenmenin gerçekte tek bir yolu vardır, o da yönetmektir. En alttan başlayıp, inanılmaz detay işlere boğulup, başkaları tarafından yönetilerek (ne kadar iyi gözlem yeteneğiniz olsa da) yönetmeyi öğrenemezsiniz. Yukarıdaki kaygılara gelince…

  1. Yöneterek de insan bir işi sıfırdan öğrenebilir. İllaki masanın öbür tarafına geçmek gerekmez. Zaten işler sadece detaylarda farklılık gösterir, yapısal anlamda hep birbirlerine benzerler. (Aksi takdirde yatırımcılık, profesyönel yöneticilik gibi meslekler olamazdı.)

  2. İnsan yönettiği kişilerle de empatik diyalog kurabilir, illaki onların seviyesine pozisyonel anlamda inmesi gerekmez. Ayrıca empati daha çok karakterle ilgili bir meseledir ve bu konudaki öğrenimlerin çok daha küçük yaşlarda başlaması gerekir.

  3. Genelde patron çocukları iş hayatında fanustan çıksa da, sosyal hayatında fanusa geri döner. (Şirketin kendisi de bir fanus olduğu için zaten gerçek anlamda hiç bir zaman fanustan çıkamaz.)

Peki deneyimsiz birine nasıl yöneticiliği öğretebilirsiniz, koca şirketin başına pat diye geçirerek mi? Hayır, küçük ekipler yönettirerek, küçük hatalar yaptırarak tabii ki!

  • Hatta bu egzersizleri aile şirketi fanusunun tamamen dışında yaptırarak. (Yani, çocuğunuzu büyük bir ekibin içerisindeki küçük bir ekibin başına değil, dışarıda - bağımsız - küçük bir ekibin en başına koyarak.)

  • Hatta sıfırdan kendi ekibini kendisinin kurmasını isteyerek. (Başka türlü insan seçmeyi nasıl öğrenebilir ki?)

  • Hatta bu ekibi ne için kuracağının kararını da kendisine bırakarak. (Başka türlü kendi hedeflerini kendi koymayı nasıl öğrenebilir ki?)

Özetle çocuğunuzdan gidip bir girişim kurmasını isteyin. Büyük bir şirketi yönetmekle küçük bir şirketi yönetmek tabii ki aynı şey değil, fakat yaşanılan problemler genelde aynı problemler, sadece rakamlar (ve dolayısıyla yapılan hataların bedelleri) daha büyük. Yani küçük bir şirketi başarıyla yönetebilmek en önemli yönetimsel becerilerin kazanımını sağlayacaktır.

Ayrıca sıfırdan girişim kurmak çocuğunuzun kendini keşfetmesi, kendi yönetim tarzını oturtması için de faydalı olacaktır. Ona dışarıda özgürlük alanı tanımanız, hata yapmasına izin vermeniz çok önemli. Aile şirketi içerisinde ise çocuğunuzun bir şeyler öğrenmesi çok zor.

  • Güçlü otoritenizin yarattığı baskı altında ezilir, nefes alanı bulamaz.

  • Tüm gözlerin onda olması sahne korkusu, hata yapma korkusu yaratır.

Tabi çocuğunuzu gereksiz yere de süründürtmemeniz lazım. “Ben İstanbul’a geldiğimde cebimde 30 lira vardı. Sürünsün öğrensin, benim geçtiğim yollardan o da geçsin.” mantalitesi yanlış bir mantalite. Burada amaç sizden çok daha hızlı bir şekilde çocuğunuzun aynı öğrenimleri kazanması, işleri başarılı bir şekilde devralıp bir sonraki seviyeye taşıması. Sürünmesi ve sizin çektiğiniz acıları çekmesi, sizin başarınızı takdir etmesi değil.

Çocuğunuza kısıtlı parasal kaynak fakat kısıtsız mentorluk ve kısıtsız network sunmanız en güzeli. Yani şirketinizin tüm deneyimsel bilgi birikiminden ve tüm sosyal ağından faydalanabilmeli. Unutmayın burada amaç yapılacak hataların parasal boyutunu kısıtlamak sadece. Çocuğunuza hiç bir kaynak sunmayıp süründürtmek değil.

Tabi liderlik biraz da karakter meselesi. Zaten kanında liderlik olan bir çocuğa “alttan yukarı doğru öğrenme” metodunu dayatamazsınız. Karakterine uymaz. Genelde liderler biraz uyumsuz tiplerdir, bağımsızlıklarına düşkün, kendi fikirleri olan, yüksek özgüvenli, inançlı insanlardır. Her sözü dinleyenden lider olmaz. (Öyle olsaydı okullar lider yetiştirebilirdi, liderlerin hepsi okullarda en yüksek puan alan çocuklar arasından çıkardı vs.)


Hata 2: Aynıyı Sürdürerek Yeniye Adapte Olamazsınız

Canlılar neden doğum-ölüm süreçlerinden geçer? Çünkü yeniye başka türlü adapte olamazlar. Yaşlandıkça insanın değişmesi zorlaşır, çevre ise değişmeye sürekli devam eder. Genç beyinler ise tazedir, hızla değişen şartlara kolayca adapte olurlar.

Bu yüzden ikinci jenerasyondan birinci jenerasyonun yaptığı işleri devam ettirmesini beklemek yanlıştır. Günümüzün hızla değişen ekonomisinde bu yaklaşım bir aile şirketi için ölüm fermanı demektir. Yeni jenerasyon yeni işlerle uğraşmalıdır. Toplumlar babalarının izinden gitmeyen oğullar sayesinde ilerlerler. (Yoksa bugün hepimiz tarlalarda çalışıyor olurduk!)

Peki o zaman yeni jenerasyona ne öğretmeli? Neyi yapması gerektiği değil, nasıl yapması gerektiği öğretilmeli. İnsan yönetimiyle ilgili, strateji geliştirmeyle ilgili genellenebilir yaklaşımlar öğretilmeli. Külüstürleşmeye yüz tutmuş, belirli bir düzene oturmuş işlerin kendisi değil, zamansız prensipler, gelenekler, felsefeler öğretmeli. İşin kendisi ise evrilmeli, kabuk değiştirmeli, yeni şartlara adapte olmalı. Ancak bu şekilde ilk jenerasyonun yakaladığı büyüme eğrisi korunabilir.

Yeni jenerasyonun yeni işlerle uğraşma isteği, büyüklerine olan saygısızlığından değil, doğanın kendisine olan saygısından ötürüdür. Eski jenerasyonun problemi ise doğanın döngülerini anlayamamasından (daha doğrusu kabul edememesinden), kendi başarısının yarattığı körlükten ve zaman içerisinde işle kurduğu duygusal bağdan kaynaklanır. Oysa evrim yaratıcı yıkım üzerine kuruludur. Kendini sürekli yenilemeyen ölmeye mahkumdur. Liderlik korumaktan değil, yıkıp yeniden yaratmaktan geçer.

pain and learning

FAAH is a protein that breaks down anandamide, also known as the “bliss molecule,” which is a neurotransmitter that binds to cannabinoid receptors. These are some of the same receptors that are activated by marijuana. With less FAAH activity, this patient was found to have more circulating levels of anandamide, which may explain her resistance to feeling pain.

... Dr. James Cox, another author and senior lecturer at the Wolfson Institute for Biomedical Research at University College London, said, “Pain is an essential warning system to protect you from damaging and life-threatening events.” Another disadvantage to endocannabinoids and their receptor targets is that poor memory and learning may be unwanted byproducts. Researchers said the Scottish woman reported memory lapses, which mirrors what is seen in mice missing the FAAH gene.

Jacquelyn Corley - The Case of a Woman Who Feels Almost No Pain Leads Scientists to a New Gene Mutation

Pain is needed to register what is learned. As they say, no pain no gain.

You can easily tell that you are not learning much if everything is flowing too smoothly. You take notice only upon encountering the unexpected and the unexpected is painful.

I advise mature students to stay away from well-written textbooks. They are like driving on a wide and empty highway. Typos keep you alert, logical gaps sharpen your mind and bad arguments force you to generate new ideas. You should generally make the reading process as hard for yourself as possible.

Educational progress can be achieved by making either the content or the environment more challenging. If you can perform well under constraints, you will perform even better when the environment normalizes.


Engagement enhances learning not because it increases focus but because it increases grit. Struggle is necessary. If the teaching is not engaging, student will more easily give up on the struggle. The goal is not to eliminate the struggle.

The more confident a learner is of their wrong answer, the better the information sticks when they subsequently learn the right answer. Tolerating big mistakes can create the best learning opportunities.

David Epstein - Range (Page 86)

So the harder you fall the better. The more wrong you turn out to be, the more unforgettable will the experience be. As they say, never waste a good crisis.

People usually go into defensive mode when their internal reality clashes with the external reality. That is basically why persuasion is such a hard art form to master. The radicalized easily become even more radicalized when you try to lay a convincing path to moderation.

Of course, there are times when you need to close up, refuse to learn and stick with your beliefs. World is complex, situations are multi-faceted, refutations are never really that clear. In some sense, every principle looks stupid in certain contexts. The principled man knows this and nevertheless takes the risk, because he thinks that looking stupid sometimes is better than looking like an amorphous mass of jelly all the time. Someone who is constantly learning and therefore constantly in revision mode runs the danger of becoming jelly-like. Sometimes one may need to prefer the pain of resisting to the pain of learning.


The essence of the neuromatrix theory of pain is that chronic pain is more a perception than a raw sensation, because the brain takes many factors into account to determine the extent of danger to the tissues. Scores of studies have shown that along with assessing damage, the brain, when developing our subjective experience of pain perception, also assesses whether action can be taken to diminish the pain, and it develops expectations as to whether this damage will improve or get worse. The sum total of these assessments determines our expectation as to our future, and these expectations play a major role in the level of pain we will feel. Because the brain can so influence our perception of chronic pain, Melzack conceptualized it as more of "an output of the central nervous system.”

Norman Doidge - The Brain’s Way of Healing (Page 10)

Pain is not an objective factor. As with everything else, it is gauged in an anticipatory manner by the mind. If you implicitly or explicitly believe that the associated costs will be greater, your pain will be greater.

Since pain is necessary for learning, this means that learning too is done in an anticipative manner. That is why proper coaching is so essential. The student needs to have some idea about what he desires for the future so that his cost function becomes more well-defined.

When one has no expectation from the future, one is essentially dead and floating, and has reverted back to basic-level survival mode. You need to make yourself susceptible to higher forms of pain. Some of the greatest minds I have met had mastered the art of getting mad and pissed-off. They were extremely passionate about some subject and had cultivated an exceptional level of emotional sensitivity in that area.

complexity and failure

Complex structures that are built slowly over time via evolutionary processes (e.g. economies, companies, buildings, species, reputations, software) tend to be robust, but when they collapse, they do so instantly.

In the literature, this asymmetry is called the Seneca Effect, after the ancient Roman Stoic Philosopher Lucius Annaeus Seneca who said "Fortune is of sluggish growth, but ruin is rapid".

Some remarks:

  • That is why only highly educated people can be spectacularly wrong. Only with education can one construct contrived highly complex arguments of the type which can fail on several different levels and lead to a spectacular failure. (Remember, the most outrageous crimes in history were carried out in the name of complex ideologies.)

  • That is also why good product designers think hard before beginning a design process that is sure to complexify over time. Complex designs collapse in entirety and are very difficult to salvage or undo. Similarly, good businessmen think hard before opening a new business since the decision to close one later is a much harder process.

  • Once entrepreneurs start building a business, they immediately start to suffer from sunk cost and negativity biases, which are specific manifestations of the much more general asymmetry between construction and destruction. We tend to be conservative with respect to complex structures because they are hard to build but easy to destruct. (Unsurprisingly, these psychological biases look surprising to the theoretical economists who have never really built anything complex and prone-to-failure in their lives.)

science vs technology

  • Science (as a form of understanding) gets better as it zooms out. Technology (as a form of service) gets better as it zooms in. Science progresses through unifications and technology progresses through diversifications.

  • Both science and technology progress like a jellyfish moves through the water, via alternating movements of contractions (i.e. unifications) and relaxations (i.e. diversifications). So neither science or technology can be pictured as a simple linear trend of unification or diversification. Technology goes through waves of standardizations for the sake of achieving efficiency and de-standardizations for the sake of achieving a better fit. Progress happens due to the fact that each new wave of de-standardization (magically) achieving a better fit than the previous wave, thanks to an intermittent period of standardization. Opposite happens in science, where each new wave of unification (magically) reaches a higher level of accuracy than the previous wave, thanks to an intermittent period of diversification.

  • Unification is easier to achieve in a single mind. Diversification is easier to achieve among many minds. That is why the scientific world is permeated by the lone genius culture and the technology world is permeated by the tribal team-work culture. Scientists love their offices, technologists love their hubs.

“New scientific ideas never spring from a communal body, however organised, but rather from the head of an individually inspired researcher who struggles with his problems in lonely thought and unites all his thought on one single point which is his whole world for the moment.”
- Max Planck

  • Being the originator of widely adopted scientific knowledge makes the originator powerful, while being the owner of privately kept technological knowledge makes the owner powerful. Hence, the best specimens of unifications quickly get diffused out of the confined boundaries of a single mind, and the best specimens of diversifications quickly get confined from the diffused atmosphere of many minds.

  • Unifiers, standardizers tend to be more masculine types who do not mind being alone. Diversifiers, de-standardizers tend to be more feminine types who can not bear being alone. That is why successful technology leaders are more feminine than the average successful leader in the business world, and successful scientific leaders are more masculine than the average successful leader in the academic world. Generally speaking, masculine types suffer more discrimination in the technology world and feminine types suffer more discrimination in the scientific world.

  • Although unifiers play a more important role in science, we usually give the most prestigious awards to the diversifiers who deployed the new tools invented by the unifiers at tangible famous problems. Although diversifiers play a more important role in technology, we usually remember and acknowledge only the unifiers who crystallized the vast efforts of diversifiers into tangible popular formats.

  • Technological challenges lie in efficient specializations. Scientific challenges lie in efficient generalizations. You need to learn vertically and increase your depth to come up with better specializations. This involves learning-to-learn-new, meaning that what you will learn next will be built on what you learned before. You need to learn horizontally and increase your range to come up with better generalizations. This involves learning-to-relearn-old, meaning that what you learned before will be recast in the light of what you will learn next.

  • Technology and design are forms of service. Science and art are forms of understanding. That is why the intersection of technology and art, as well as the intersection of science and design, is full of short-lived garbage. While all our “external” problems can be tracked back to a missing tool (technological artifact) or a wrong design, all our “internal” problems can be traced back to a missing truth (scientific fact) or wrong aesthetics (i.e. wrong ways of looking at the world).

  • Scientific progress contracts the creative space of religion by outright disproval of certain ideas and increases the expressive power of religion by supplying it with new vocabularies. (Note that the metaphysical part of religion can be conceived as “ontology design”.) Technological progress contracts the creative space of art by outright trivialization of certain formats and increases the expressive power of art by supplying it with new tools. (Think of the invention of photography rendering realistic painting meaningless and the invention of synthesizers leading to new types of music.) In other words, science and technology aid respectively religion and art to discover their inner cores by both limiting the domain of exploration and increasing the efficacy of exploration. (Notice that artists and theologians are on the same side of the equation. We often forget this, but as Joseph Campbell reminds us, contemporary art plays an important role in updating our mythologies, and keeping the mysteries alive.)

  • Scientific progress replaces mysteries with more profound mysteries. Technological progress replaces problems with more complex problems.

  • Both science and technology progress through hype cycles, science through how much phenomena the brand new idea can explain, technology through how many problems the brand new tool can solve.

  • Scientific progress slows down when money is thrown at ideas rather than people. Technological progress slows down when money is thrown at people rather than ideas.

  • Science progresses much faster during peacetime, technology progresses much faster during wartime. Scientific breakthroughs often precede new wars, technological breakthroughs often end ongoing wars.

formalism, consciousness and understanding

In a formal (deductive) subject, the level of competency correlates with the depth of non-formalism one can display around the subject. (For instance, the mastery of a mathematician can only be gauged when he stops scribbling down mathematical notation, dives into conceptual vagueness and starts using real words.) In a non-formal (intuitive) subject, the level of competency correlates with the depth of formalism one can display around the subject.

Similarly, one can only understand the unconscious things using the consciousness and the conscious things using the unconsciousness. Due to the architecture of our brains we typically find the latter much easier to do. Our education system does not balance the scale neither. (Practicing lucid dreaming, meditation and improvisation can help.) We generally do not know how to open up and let our non-verbal intuitive brain reign, and do not care about the unconscious until it breaks down.

spectrum of scalability

There are only two types of businesses that really matter, namely those that scale perfectly (totally inhuman) and those that do not scale at all (totally human).

For instance, both content production and information-heavy technology businesses scale perfectly. (It is costless to reproduce films and software.) Spotting and nurturing promising artists and technology entrepreneurs on the other hand do not scale at all.

Greatest returns in business come from highly scalable (and defensible) businesses, but the most vital ingredient in building such businesses is talent. In this sense, talent management is only one-step away from scalability, and that is exactly why its return profile is extremely nonlinear, mimicking that of scalable businesses.


Media and technology worlds are structurally quite similar in the sense pointed above. But then how could media companies have been so slow and inept at crafting a legitimate response to the tech companies creeping into their domain?

Answer is very simple. Although media content scales perfectly as software does, it does not evolve after it is born. For instance, once a film is produced, it is done. Software on the other hand is born immature and goes through an evolutionary design process which slowly settles into an equilibrium. Media companies do not know how to guide this evolution. That is why they are prudently waiting for the equilibrium to emerge before making a move. (Think of Disney’s late response to Netflix.)


Investing only in totally scalable and totally unscalable businesses is an example of the barbell strategy popularized by Nassim Nicholas Taleb.

Universities are embodiments of this strategy. They pool their resources into two buckets: facilitating research and teaching students. Research is a form of content production and teaching is a form of talent nurturing. (They are nurturing future researchers.)

thoughts on abstraction

Why is it always the case that formulation of deeper physics require more abstract mathematics? Why does understanding get better as it zooms out?

Side Note: Notice that there are two ways of zooming out. First, you can abstract by ignoring details. This is actually great for applications, but not good for understanding. It operates more like chunking, coarse-graining, forming equivalence classes etc. You end up sacrificing accuracy for the sake of practicality. Second, you can abstract in the sense of finding an underlying structure that allows you to see two phenomena as different manifestations of the same phenomenon. This is actually the meaning that we will be using throughout the blogpost. While coarse graining is easy, discovering an underlying structure is hard. You need to understand the specificity of a phenomenon which you normally consider to be general.

For instance, a lot of people are unsatisfied with the current formulation of quantum physics, blaming it for being too instrumental. Yes, the math is powerful. Yes, the predictions turn out to be correct. But the mathematical machinery (function spaces etc.) feels alien, even after one gets used to it over time. Or compare the down-to-earth Feynman diagrams with the amplituhedron theory... Again, you have a case where a stronger and more abstract beast is posited to dethrone a multitude of earthlings.

Is the alienness a price we have to pay for digging deeper? The answer is unfortunately yes. But this should not be surprising at all:

  • We should not expect to be able to explain deeper physics (which is so removed from our daily lives) using basic mathematics inspired from mundane physical phenomena. Abstraction gives us the necessary elbow room to explore realities that are far-removed from our daily lives.

  • You can use the abstract to can explain the specific but you can not proceed the other way around. Hence as you understand more, you inevitably need to go higher up in abstraction. For instance, you may hope that a concept as simple as the notion of division algebra will be powerful enough to explain all of physics, but you will sooner or later be gravely disappointed. There is probably a deeper truth lurking behind such a concrete pattern.



Abstraction as Compression

The simplicities of natural laws arise through the complexities of the languages we use for their expression.

- Eugene Wigner

That the simplest theory is best, means that we should pick the smallest program that explains a given set of data. Furthermore, if the theory is the same size as the data, then it is useless, because there is always a theory that is the same size as the data that it explains. In other words, a theory must be a compression of the data, and the greater the compression, the better the theory. Explanations are compressions, comprehension is compression!

Chaitin - Metaphysics, Metamathematics and Metabiology

We can not encode more without going more abstract. This is a fundamental feature of the human brain. Either you have complex patterns based on basic math or you have simple patterns based on abstract math. In other words, complexity is either apparent or hidden, never gotten rid of. (i.e. There is no loss of information.) By replacing one source of cognitive strain (complexity) with another source of cognitive strain (abstraction), we can lift our analysis to higher-level complexities.

In this sense, progress in physics is destined to be of an unsatisfactory nature. Our theories will keep getting more abstract (and difficult) at each successive information compression. 

Don't think of this as a human tragedy though! Even machines will need abstract mathematics to understand deeper physics, because they too will be working under resource constraints. No matter how much more energy and resources you summon, the task of simulating a faithful copy of the universe will always require more.

As Bransford points out, people rarely remember written or spoken material word for word. When asked to reproduce it, they resort to paraphrase, which suggests that they were able to store the meaning of the material rather than making a verbatim copy of each sentence in the mind. We forget the surface structure, but retain the abstract relationships contained in the deep structure.

Jeremy Campbell - Grammatical Man (Page 219)

Depending on context, category theoretical techniques can yield proofs shorter than set theoretical techniques can, and vice versa. Hence, a machine that can sense when to switch between these two languages can probe the vast space of all true theories faster. Of course, you will need human aide (enhanced with machine learning algorithms) to discern which theories are interesting and which are not.

Abstraction is probably used by our minds as well, allowing it to decrease the number of used neurons without sacrificing explanatory power.

Rolnick and Max Tegmark of the Massachusetts Institute of Technology proved that by increasing depth and decreasing width, you can perform the same functions with exponentially fewer neurons. They showed that if the situation you’re modeling has 100 input variables, you can get the same reliability using either 2100 neurons in one layer or just 210 neurons spread over two layers. They found that there is power in taking small pieces and combining them at greater levels of abstraction instead of attempting to capture all levels of abstraction at once.

“The notion of depth in a neural network is linked to the idea that you can express something complicated by doing many simple things in sequence,” Rolnick said. “It’s like an assembly line.”

- Foundations Built for a General Theory of Neural Networks (Kevin Hartnett)

In a way, the success of neural network models with increased depth reflect the hierarchical aspects of the phenomena themselves. We end up mirroring nature more closely as we try to economize our models.


Abstraction as Unlearning

Abstraction is not hard because of technical reasons. (On the contrary, abstract things are easier to manipulate due to their greater simplicities.) It is hard because it involves unlearning. (That is why people who are better at forgetting are also better at abstracting.)

Side Note: Originality of the generalist is artistic in nature and lies in the intuition of the right definitions. Originality of the specialist is technical in nature and lies in the invention of the right proof techniques.

Globally, unlearning can be viewed as the Herculean struggle to go back to the tabula rasa state of a beginner's mind. (In some sense, what takes a baby a few months to learn takes humanity hundreds of years to unlearn.) We discard one by one what has been useful in manipulating the world in favor of getting closer to the truth.

Here are some beautiful observations of a physicist about the cognitive development of his own child:

My 2-year old’s insight into quantum gravity. If relative realism is right then ‘physical reality’ is what we experience as a consequence of looking at the world in a certain way, probing deeper and deeper into more and more general theories of physics as we have done historically (arriving by now at two great theories, quantum and gravity) should be a matter of letting go of more and more assumptions about the physical world until we arrive at the most general theory possible. If so then we should also be able to study a single baby, born surely with very little by way of assumptions about physics, and see where and why each assumption is taken on. Although Piaget has itemized many key steps in child development, his analysis is surely not about the fundamental steps at the foundation of theoretical physics. Instead, I can only offer my own anecdotal observations.

Age 11 months: loves to empty a container, as soon as empty fills it, as soon as full empties it. This is the basic mechanism of waves (two competing urges out of phase leading to oscillation).

Age 12-17 months: puts something in drawer, closes it, opens it to see if it is still there. Does not assume it would still be there. This is a quantum way of thinking. It’s only after repeatedly finding it there that she eventually grows to accept classical logic as a useful shortcut (as it is in this situation).

Age 19 months: comes home every day with mother, waves up to dad cooking in the kitchen from the yard. One day dad is carrying her. Still points up to kitchen saying ‘daddy up there in the kitchen’. Dad says no, daddy is here. She says ‘another daddy’ and is quite content with that. Another occasion, her aunt Sarah sits in front of her and talks to her on my mobile. When asked, Juliette declares the person speaking to her ‘another auntie Sarah’. This means that at this age Juliette’s logic is still quantum logic in which someone can happily be in two places at the same time.

Age 15 months (until the present): completely unwilling to shortcut a lego construction by reusing a group of blocks, insists on taking the bits fully apart and then building from scratch. Likewise always insists to read a book from its very first page (including all the front matter). I see this as part of her taking a creative control over her world.

Age 20-22 months: very able to express herself in the third person ‘Juliette is holding a spoon’ but finds it very hard to learn about pronouns especially ‘I’. Masters ‘my’ first and but overuses it ‘my do it’. Takes a long time to master ‘I’ and ‘you’ correctly. This shows that an absolute coordinate-invariant world view is much more natural than a relative one based on coordinate system in which ‘I’ and ‘you’ change meaning depending on who is speaking. This is the key insight of General Relativity that coordinates depend on a coordinate system and carry no meaning of themselves, but they nevertheless refer to an absolute geometry independent of the coordinate system. Actually, once you get used to the absolute reference ‘Juliette is doing this, dad wants to do that etc’ it’s actually much more natural than the confusing ‘I’ and ‘you’ and as a parent I carried on using it far past the time that I needed to. In the same way it’s actually much easier to do and teach differential geometry in absolute coordinate-free terms than the way taught in most physics books.

Age 24 months: until this age she did not understand the concept of time. At least it was impossible to do a bargain with her like ‘if you do this now, we will go to the playground tomorrow’ (but you could bargain with something immediate). She understood ‘later’ as ‘now’.

Age 29 months: quite able to draw a minor squiggle on a bit of paper and say ‘look a face’ and then run with that in her game-play. In other words, very capable of abstract substitutions and accepting definitions as per pure mathematics. At the same time pedantic, does not accept metaphor (‘you are a lion’ elicits ‘no, I’m me’) but is fine with similie, ‘is like’, ‘is pretending to be’.

Age 31 months: understands letters and the concept of a word as a line of letters but sometimes refuses to read them from left to right, insisting on the other way. Also, for a time after one such occasion insisted on having her books read from last page back, turning back as the ‘next page’. I interpret this as her natural awareness of parity and her right to demand to do it her own way.

Age 33 months (current): Still totally blank on ‘why’ questions, does not understand this concept. ‘How’ and ‘what’ are no problem. Presumably this is because in childhood the focus is on building up a strong perception of reality, taking on assumptions without question and as quickly as possible, as it were drinking in the world.

... and just in the last few days: remarked ‘oh, going up’ for the deceleration at the end of going down in an elevator, ‘down and a little bit up’ as she explained. And pulling out of my parking spot insisted that ‘the other cars are going away’. Neither observation was prompted in any way. This tells me that relativity can be taught at preschool.

- Algebraic Approach to Quantum Gravity I: Relative Realism (S. Majid)


Abstraction for Survival

The idea, according to research in Psychology of Aesthetics, Creativity, and the Arts, is that thinking about the future encourages people to think more abstractly—presumably becoming more receptive to non-representational art.

- How to Choose Wisely (Tom Vanderbilt)

Why do some people (like me) get deeply attracted to abstract subjects (like Category Theory)?

One of the reasons could be related to the point made above. Abstract things have higher chances of survival and staying relevant because they are less likely to be affected by the changes unfolding through time. (Similarly, in the words of Morgan Housel, "the further back in history you look, the more general your takeaways should be.") Hence, if you have an hunger for timelessness or a worry about being outdated, then you will be naturally inclined to move up the abstraction chain. (No wonder why I am also obsessed with the notion of time.)

Side Note: The more abstract the subject, the less community around it is willing to let you attach your name to your new discoveries. Why? Because the half-life of discoveries at higher levels of abstraction is much longer and therefore your name will live on for a much longer period of time. (i.e. It makes sense to be prudent.) After being trained in mathematics for so many years, I was shocked to see how easily researchers in other fields could “arrogantly” attach their names to basic findings. Later I realized that this behavior was not out of arrogance. These fields were so far away from truth (i.e. operating at very low levels of abstraction) that half-life of discoveries were very short. If you wanted to attach your name to a discovery, mathematics had a high-risk-high-return pay-off structure while these other fields had a low-risk-low-return structure.

But the higher you move up in the abstraction chain, the harder it becomes for you to innovate usefully. There is less room to play around since the objects of study have much fewer properties. Most of the meaningful ideas have already been fleshed out by others who came before you.

In other words, in the realm of ideas, abstraction acts as a lever between probability of longevity and probability of success. If you aim for a higher probability of longevity, then you need to accept the lower probability of success.

That is why abstract subjects are unsuitable for university environments. The pressure of "publish or perish" mentality pushes PhD students towards quick and riskless incremental research. Abstract subjects on the other hand require risky innovative research which may take a long time to unfold and result in nothing publishable.

Now you may be wondering whether the discussion in the previous section is in conflict with the discussion here. How can abstraction be both a process of unlearning and a means for survival? Is not the evolutionary purpose of learning to increase the probability of survival? I would say that it all depends on your time horizon. To survive the immediate future, you need to learn how your local environment operates and truth is not your primary concern. But as your time horizon expands into infinity, what is useful and what is true become indistinguishable, as your environment shuffles through all allowed possibilities.