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.

analogies vs metaphors

“The existence of analogies between central features of various theories implies the existence of a general abstract theory which underlies the particular theories and unifies them with respect to those central features.”
- Eliakim Hastings Moore

Conceptual similarities manifest themselves as analogies, where one recognizes that two structures X and Y have a common meaningful core, say A, which can be pulled up to a higher level. The resulting relationship is symmetric in the sense that the structure A specializes to both X and Y. In other words, one can say either “X is like Y via A” or “Y is like X via A”.

Analogy.png

The analogy get codified in the more general structure A which in turn is mapped back onto X and Y. (I say “onto” because A represents a bigger set than both X and Y.) Discovering A is revelatory in the sense that one recognizes that X and Y are special instances of a more general phenomenon, not disparate structures.

Metaphors play a similar role as analogies. They too increase our total understanding, but unlike analogies, they are not symmetric in nature.

Say there are two structures X and Y where is X is more complex but also more familiar than Y. (In practice, X often happens to be an object we have an intuitive grasp of due to repeated daily interaction.) Discovering a metaphor, say M, involves finding a way of mapping X onto Y. (I say “onto” because X - via M - ends up subsuming Y inside its greater complexity.)

Metaphor.png

The explanatory effect comes from M pulling Y up to the familiar territory of X. All of a sudden, in an almost magical fashion, Y too starts to feel intuitive. Many paradigm shifts in the history of science were due to such discrete jumps. (e.g. Maxwell characterizing the electromagnetic field as a collection of wheels, pulleys and fluids.)

Notice that you want your analogy A to be as faithful as possible, capturing as many essential features of X and Y. If you generalize too much, you will end up with a useless A with no substance. Similarly, for each given Y, you want your metaphor pair (X,M) to be as tight as possible, while not letting X stray away from the domain of the familiar.

You may be wondering what happens if we dualize our approaches in the above two schemes.

  • Analogies. Instead of trying to rise above the pair (X,Y), why not try to go below it? In other words, why not consider specializations that both X and Y map onto, rather than focus on generalizations that map onto X and Y?

  • Metaphors. Instead of trying to approach Y from above, why not try approach it from below? In other words, why not consider metaphors that map the simple into the complex rather than focus on those that map the complex onto the simple?

The answer to both questions is the same: We do not, because the dual constructions do not require any ingenuity, and even if they turn out to be very fruitful, the outcomes do not illuminate the original inputs.

Let me expand on what I mean.

  • Analogies enhance our analytic understanding of the world of ideas. They are tools of the consciousness, which can not deal with the concrete (specialized) concepts head on. For instance, since it is insanely hard to study integers directly, we abstract and study more general concepts such as commutative rings instead. (Even then the challenge is huge. You could devote your whole life to ring theory and still die as confused as a beginner.)

    In the world of ideas, one can easily create more specialized concepts by taking conjunctions of various X’s and Y’s. Studying such concepts may turn out to be very fruitful indeed, but it does not further our understanding of the original X’s and Y’s. For instance, study of Lie Groups is exceptionally interesting, but it does not further our understanding of manifolds or groups.

  • Metaphors enhance our intuitive understanding of the world of things. They are tools of the unconsciousness, which is familiar with what is more immediate, and what is more immediate also happens to be what is more complex. Instruments allow us to probe what is remote from experience, namely the small and the big, and both turn out to be stranger but also simpler than the familiar stuff we encounter in our immediate daily lives.

    • What is smaller than us is simpler because it emerged earlier in the evolutionary history. (Compare atoms and cells to humans.)

    • What is bigger than us is simpler because it is an inanimate aggregate rather than an emergent life. (Those galaxies may be impressive, but their complexity pales in comparison to ours.)

    In the world of things, it is easy to come up with metaphors that map the simple into the complex. For instance, with every new technological paradigm shift, we go back to biology (whose complexity is way beyond anything else) and attack it with the brand new metaphor of the emerging Zeitgeist. During the industrial revolution we conceived the brain as a hydraulic system, which in retrospect sounds extremely naive. Now, during the digital revolution, we are conceiving it as - surprise, surprise - a computational system. These may be productive endeavors, but the discovery of the trigger metaphors itself is a no-brainer.

Now is a good time to make a few remarks on a perennial mystery, namely the mystery of why metaphors work at all.

It is easy to understand why analogies work since we start off with a pair of concepts (X,Y) and use it as a control while moving methodically upwards towards a general A. In the case of metaphors, however, we start off with a single object Y, and then look for a pair (X,M). Why should such a pair exist at all? I believe the answer lies in a combination of the following two quotes.

"We can so seldom declare what a thing is, except by saying it is something else."
- George Eliot

“Subtle is the Lord, but malicious He is not.”
- Albert Einstein

Remember, when Einstein characterized gravitation as curvature, he did not really tell us what gravity is. He just stated something unfamiliar in terms of something familiar. This is how all understanding works. Yes, science is progressing, but all we are doing is just making a bunch of restatements with no end in sight. Absolute truth is not accessible to us mere mortals.

“Truths are illusions which we have forgotten are illusions — they are metaphors that have become worn out and have been drained of sensuous force, coins which have lost their embossing and are now considered as metal and no longer as coins.”
- Friedrich Nietzsche

The reason why we can come up with metaphors of any practical significance is because nature subtly keeps recycling the same types of patterns in different places and at different scales. This is what Einstein means when he says that the Lord is not malicious, and is why nature is open to rational inquiry in the first place.

Unsurprisingly, Descartes himself, the founder of rationalism, was also a big believer in the universality of patterns.

Descartes followed this precept by liberal use of scaled-up models of microscopic physical events. He even used dripping wine vats, tennis balls, and walking-sticks to build up his model of how light undergoes refraction. His statement should perhaps also be taken as evidence of his belief in the universality of certain design principles in the machinery of Nature which he expects to reappear in different contexts. A world in which everything is novel would require the invention of a new science to study every phenomenon. It would possess no general laws of Nature; everything would be a law unto itself.

John D. Barrow - Universe That Discovered Itself (Page 107)

Of course, universality does not make it any easier to discover a great metaphor. It still requires a special talent and a trained mind to intuit one out of the vast number of possibilities.

Finding a good metaphor is still more of an art than a science. (Constructing a good analogy, on the other hand, is more of a science than an art.) Perhaps one day computers will be able to completely automate the search process. (Currently, as I pointed out in a previous blog post, they are horrible at horizontal type of thinking, the type of thinking required for spotting metaphors.) This will result in a disintermediation of mathematical models. In other words, computers will simply map reality back onto itself and push us out of the loop altogether.

Let us wrap up all the key observations we made so far in a single table:

analogies vs metaphors.png

Now let us take a brief detour in metaphysics before we have a one last look at the above dichotomy.

Recall the epistemology-ontology duality:

  • An idea is said to be true when every body obeys to it.

  • A thing is said to be real when every mind agrees to it.

This is a slightly different formulation of the good old mind-body duality.

  • Minds are bodies experienced from inside.

  • Bodies are minds experienced from outside.

While minds and bodies are dynamic entities evolving in time, true ideas and real things reside inside a static Platonic world.

  • Minds continuously shuffle through ideas, looking for the true ones, unable to hold onto any for a long time. Nevertheless truth always seems to be within reach, like a carrot dangling in the front.

  • Minds desperately attach names to phenomena, seeking permanency within the constant flux. Whatever they refer to as a real thing eventually turns out to be unstable and ceases to be.

Hence, the dichotomy between true ideas and real things can be thought of as the (static) Being counterpart of the mind-body duality which resides in (dynamic) Becoming. In fact, it would not be inappropriate to call the totality of all true ideas as God-mind and the totality of all real things as God-body.

Anyway, enough metaphysics. Let us now go back to our original discussion.

In order to find a good metaphor, our minds scan through the X’s that we are already experientially familiar with. The hope is to be able to pump up our intuition about a thing through another thing. Analogies on the other hand help us probe the darkness, and bring into light the previously unseen. Finding a good A is like pulling a rabbit out of a hat, pulling something that was out-of-experience into experience. The process looks as follows.

  1. First you encounter a pair of concepts (X,Y) in the shared public domain, literally composed of ink printed upon a paper or pixels lighting up on a screen.

  2. Your mind internalizes (X,Y) by turning it back to an idea form, hopefully in the fashion that was intended by its originator mind.

  3. You generalize (X,Y) to A within the world of ideas through careful reasoning and aesthetic guidance.

  4. You share A with other minds by turning it into a thing, expressed in a certain language, on a certain medium. (An idea put in a communicable form is essentially a thing that can be experienced by all minds.)

  5. End result is a one more useful concept in the shared public domain.

Analogies lift the iceberg, so to speak, by bringing completely novel ideas into existence and revealing more of the God-mind. In fact, the entirety of our technology, including the technology of reasoning via analogies, can be viewed as a tool for accelerating the transformation of ideas into things. We, and other intermediary minds like us, are the means through which God is becoming more and more aware of itself.

Remember, as time progresses, the evolutionary entities (i.e. minds) decrease in number and increase in size and complexity. Eventually, they get

  • so good at modeling the environment that their ideas start to resemble more and more the true ideas of the God-mind, and

  • so good at controlling the environment that they become increasingly indistinguishable from it and the world of things start to acquire a thoroughly mental character.

In the limit, when the revelation of the God-mind is complete, the number of minds finally dwindles down to one, and the One, now synonymous with the God-mind, dispenses with analogies or metaphors altogether.

  • As nothing seems special any more, the need to project the general onto the special ceases.

  • As nothing feels unfamiliar any more, the need to project the familiar onto the unfamiliar ceases.

Of course, this comes at the expense of time stopping altogether. Weird, right? My personal belief is that revelation will never reach actual completion. Life will hover over the freezing edge of permanency for as long as it can, and at some point, will shatter in such a spectacular fashion that it will have to begin from scratch all over again, just as it had done so last time around.

digital vs physical businesses

In the first part, I will analyze how digital businesses and physical businesses are complementary to each other via the following dualities:

  1. Risk of Death vs Potential for Growth

  2. Controlling Demand vs Controlling Supply

  3. Network Effects vs Scale Effects

  4. Mind vs Body

  5. Borrowing Space vs Borrowing Time

In the second part, I will analyze how the rise of digital businesses against physical businesses is triggering the following trends:

  1. Culture is Shifting from Space to Time

  2. Progress is Accelerating

  3. Science is Becoming More Data-Driven

  4. Economy is Getting Lighter

  5. Power is Shifting from West to East

Duality 1: Risk of Death vs Potential for Growth

Since information is frictionless, every digital startup has a potential for fast growth. But since the same fact holds for every other startup as well, there is also a potential for a sudden downfall. That is why defensibility (i.e. ability to survive after reaching success) is often mentioned as the number one criterion by the investors of such companies.

Physical businesses face the inverse reality: They are harder to grow but easier to defend, due to factors like high barriers to entry, limited real estate space, hard-to-set-up distribution networks etc. That is why competitive landscape is the most scrutinized issue by the investors of such companies.

Duality 2: Controlling Supply vs Controlling Demand

In the physical world, limited by scarcity, economic power comes from controlling supply; in the digital world, overwhelmed by abundance, economic power comes from controlling demand.
- Ben Thompson - Ends, Means and Antitrust

Although Ben’s point is quite clear, it is worth expanding it a little bit.

In the physical world, supply is much more limited than demand and therefore whoever controls the supply wins.

  • Demand. Physical consumption is about hoarding in space which is for all practical purposes infinite. Since money is digital in its nature, I can buy any object in any part of the world at the speed of light and that object will immediately become mine.

  • Supply. Extracting new materials and nurturing new talents take a lot of time. In other words, in the short run, supply of physical goods is severely limited.

In the digital world, demand is much more limited than supply and therefore whoever controls the demand wins:

  • Demand. Digital consumption is information based and therefore cognitive in nature. Since one can pay attention to only so many things at once, it is restricted mainly to the time dimension. For instance, for visual information, daily screen time is the limiting factor on how much can be consumed.

  • Supply. Since information travels at the speed of light, every bit in the world is only a touch away from you. Hence, in the short run, supply is literally unlimited.

Duality 3: Scale Effects vs Network Effects

Physical economy is dominated by geometric dynamics since distances matter. (Keyword here is space.) Digital economy on the other hand is information based and information travels at the speed of light, which is for all practical purposes infinite. Hence distances do not matter, only connectivities do. In other words, the dynamics is topological, not geometric. (Keyword here is network.)

Side Note: Our memories too work topologically. We remember the order of events (i.e. temporal connectivity) easily but have hard time situating them in absolute time. (Often we just remember the dates of significant events and then try to date everything else relative to them.) But while we are living, we focus on the continuous duration (i.e. the temporal distance), not the discrete events themselves. That is why the greater the number of things we are pre-occupied with and the less we can feel the duration, the more quickly time seems to pass. In memory though, the reverse happens: Since the focus is on events (everything else is cleared out!), the greater the number of events, the less quickly time seems to have passed.

This nicely ties back to the previous discussion about defensibility. Physical businesses are harder to grow because that is precisely how they protect themselves. They reside in space and scale effects help them make better use of time through efficiency gains. Digital businesses on the other hand reside in time and network effects help them make better use of space through connectivity gains. Building protection is what is hard and also what is valuable in each case.

Side Note: Just as economic value continuously trickles down to the space owners (i.e. land owners) in the physical economy, it trickles down to “time owners” in the digital economy (i.e. companies who control your attention through out the day).

Scale does not correlate with defensible value in the digital world, just as connectivity does not correlate with defensible value in the physical world. Investors are perennially confused about this since scale is so easy to see and our reptilian brains are so susceptible to be impressed by it.

Of course, at the end of the day, all digital businesses thrive on physical infrastructures and all physical businesses thrive on digital infrastructures. This leads to an interesting mixture.

  • As a structure grows, it suffers from internal complexities which arise from increased interdependencies between increased number of parts.

  • Similarly, greater connectivity requires greater internal scale. In fact, scalability is a huge challenge for fast-growing digital businesses.

Hence, physical businesses thrive on scale effects but suffer from negative internal network effects (which are basically software problems), and digital businesses thrive on network effects but suffer from negative internal scale effects (which are basically hardware problems). In other words, these two types of businesses are dependent on each other to be able to generate more value.

  • As physical businesses get better at leveraging software solutions to manage their complexity issues, they will break scalability records.

  • As digital businesses get better at leveraging hardware solutions to manage their scalability issues, they will break connectivity records.

Note that we have now ventured beyond the world of economics and entered the much more general world of evolutionary dynamics. Time has two directional arrows:

  • Complexity. Correlates closely with size. Increases over time, as in plants being more complex than cells.

  • Connectivity. Manifests itself as “entropy” at the lowest complexity level (i.e. physics). Increases over time, as evolutionary entities become more interlinked.

Evolution always pushes for greater scale and connectivity.

Side Note: "The larger the brain, the larger the fraction of resources devoted to communications compared to computation." says Sejnowski. Many scientists think that evolution has already reached an efficiency limit for the size of the biological brain. A great example of a digital entity (i.e. the computing mind) whose growing size is limited by the accompanying growing internal complexity which manifests itself in the form of internal communication problems.

Duality 4: Mind vs Body

All governments desire to increase the value of their economies but also feel threatened by the evolutionary inclination of the economic units to push for greater scale and connectivity. Western governments (e.g. US) tend to be more sensitive about size. They monitor and explicitly break up physical businesses that cross a certain size threshold. Eastern governments (e.g. China) on the other hand tend to be more sensitive about connectivity. They monitor and implicitly take over digital businesses that cross a certain connectivity threshold. (Think of the strict control of social media in China versus the supreme freedom of all digital networks in US.)

Generally speaking, the Western world falls on the right-hand side of the mind-body duality, while the Eastern world falls on the left-hand side.

  • As mentioned above, Western governments care more about the physical aspects of reality (like size) while Eastern governments care more about the mental aspects of reality (like connectivity).

  • Western sciences equate the mind with the brain, and thereby treats software as hardware. Eastern philosophies are infused with panpsychic ideas, ascribing consciousness (i.e. mind-like properties) to the entirety of universe, and thereby treats hardware as software.

We can think of the duality between digital and physical businesses as the social version of the mind-body duality. When you die, your body gets recycled back into the ecosystem. (This is no different than the machinery inside a bankrupt factory getting recycled back into the economy.) Your mind on the other hand simply disappears. What survive are the impressions you made on other minds. Similarly, when digital businesses die, they leave behind only memories in the form of broken links and cached pages, and therefore need “tombstones” to be remembered. Physical businesses on the other hand leave behind items which continue to circulate in the second-hand markets and buildings which change hands to serve new purposes.

Duality 5: Borrowing Space vs Borrowing Time

Banking too is moving from space to time dimension, and this is happening in a very subtle way. Yes, banks are becoming increasingly more digital, but this is not what I am talking about at all. Digitalized banks are more efficient at delivering the same exact services, continuing to serve the old banking needs of the physical economy. What I am talking about is the unique banking needs of the new digital economy. What do I mean by this?

Remember, physical businesses reside in space and scale effects help them make better use of time through efficiency gains. Digital businesses on the other hand reside in time and network effects help them make better use of space through connectivity gains. Hence, their borrowing needs are polar opposite: Physical businesses need to borrow time to accelerate their defensibility in space, while digital businesses need to borrow space to accelerate their defensibility in time. (What matters in the long run is only defensibility!)

But what does it mean to borrow time or space?

  • Lending time is exactly what regular banks do. They give you money and charge you an interest rate, which can be viewed as the cost of moving (discounting) the money you will be making in the future to now. In other words, banks are in the business of creating contractions in the time dimension, not unlike creating wormholes through time.

  • Definition of space for a digital company depends on the network it resides in. This could be a specific network of people, businesses etc. A digital company does not defend itself by scale effects, it defends itself by network effects. Hence its primary goal is to increase the connectivity of its network. In other words, a digital company needs creation of wormholes through space, not through time. Whatever facilitates further stitching of its network satisfies its “banking needs”.

Bankers of the digital economy are the existing deeply-penetrated networks like Alibaba, WeChat, LinkedIn, Facebook, Amazon etc. What masquerades as a marketing expense for a digital company to rent the connectivity of these platforms is actually in part a “banking” expense, not unlike the interest payments made to a regular bank.

Trend 1: Culture is Shifting from Space to Time

Culturally we are moving from geometry to topology, more often deploying topological rather than geometric language while narrating our lives. We meet our friends in online networks rather than physical spaces.

Correlation between the rise of the digital economy and the rise of the experience economy (and its associated cultural offshoots like hipster movement and decluttering movement) is not a coincidence. Experiential goods (not just those that are information-based) exhibit the same dynamics as digital goods. They are completely mental and reside in time dimension.

Our sense of privacy too is shifting from space dimension to time dimension. We are growing less sensitive about sharing objects and more sensitive about sharing experiences. We are participating in a myriad of sharing economies, but also becoming more ruthless about time optimization. (What is interpreted as a general decline in attention span is actually a protective measure erected by the digital natives, forcing everyone to cut their narratives short.) Increasingly we are spending less time with people although we look more social from outside since we share so many objects with each other.

Our sense of aesthetics has started to incorporate time rather than banish it. We leave surfaces unfinished and prefer using raw and natural-looking rather than polished and new-looking materials. Everyone has become wabi-sabi fans, preferring to buy stuff that time has taken (or seems to have taken) its toll on them.

Even physics is caught in the Zeitgeist. Latest theories are all claiming that time is fundamental and space is emergent. Popular opinion among the physicists used to be the opposite. Einstein had put the final nail on the coffin by completely spatializing time into what is called spacetime, an unchanging four-dimensional block universe. He famously had said “the distinction between past, present, and future is only a stubbornly persistent illusion.”

Trend 2: Progress is Accelerating

As economies and consumption patterns shift to time dimension, we feel more overwhelmed by the demands on our time, and life seems to progress at a faster rate.

Let us dig deeper into this seemingly trivial observation. First recall the following two facts:

  1. In a previous blog post, I had talked about the effect of aging on perception of time. As you accumulate more experience and your library of cognitive models grows, you become more adept at chunking experience and shifting into an automatic mode. What was used to be processed consciously now starts getting processed unconsciously. (This is no different than stable software patterns eventually trickling down and hardening to become hardware patterns.)

  2. In a previous blog post, I had talked about how the goal of education is to learn how not to think, not how to think. In other words, “chunking” is the essence of learning.

Combining these two facts we deduce the following:

  • Learning accelerates perception of time.

This observation in turn is intimately related to the following fact:

What exactly is this relation?

Remember, at micro-level, both learning and progress suffer from the diminishing returns of S-curves. However, at the macro-level, both overcome these limits via sheer creativity and manage to stack S-curves on top of each other to form a (composite) exponential curve that literally shoots to infinity.

This structural similarity is not a coincidence: Progress is simply the social version of learning. However, progress happens out in the open, while learning takes place internally within each of our minds and therefore can not be seen. That is why we can not see learning in time, but nevertheless can feel its acceleration by reflecting it off time.

Side Note: For those of you who know about Ken Wilber’s Integral Theory, what we found here is that “learning” belongs to the upper-left quadrant while “progress” belongs to the lower-right quadrant. The infinitary limiting point is often called Nirvana in personal learning and Singularity in social progress.

Recall how we framed the duality between digital and physical businesses as the social version of the mind-body duality. True, from the individual’s perspective, progress seems to happen out in the open. However, from the perspective of the mind of the society (represented by the aggregation of all things digital), progress “feels” like learning.

Hence, going back to the beginning of this discussion, your perception of time accelerates for two dual reasons:

  1. Your data processing efficiency increases as you learn more.

  2. Data you need to process increases as society learns more.

Time is about change. Perception of time is about processed change, and how much change your mind can process is a function of both your data processing efficiency (which defines your bandwidth) and the speed of data flow. (You can visualize bandwidth as the diameter of a pipe.) As society learns more (i.e. progresses further), you become bombarded with more change. Thankfully, as you learn more, you also become more capable of keeping up with change.

There is an important caveat here though.

  1. Your mind loses its plasticity over time.

  2. The type of change you need to process changes over time.

The combination of these two facts is very problematic. Data processing efficiency is sustained by the cognitive models you develop through experience, based on past data sets. Hence, their continued efficiency is guaranteed only if the future is similar to the past, which of course is increasingly not the case.

As mentioned previously, the exponential character of progress stems from the stacking of S-curves on top of each other. Each new S-curve represents a discontinuous creative jump, a paradigm shift that requires a significant revision of existing cognitive models. As progress becomes faster and life expectancy increases, individuals encounter a greater number of such challenges within their lifetimes. This means that they are increasingly at risk of being left behind due to the plasticity of their minds decreasing over time.

This is exactly why the elderly enjoy nostalgia and wrap themselves inside time capsules like retirement villages. Their desire to stop time creates a demographic tension that will become increasingly more palpable in the future, as the elderly become increasingly more irrelevant while still clinging onto their positions of power and keeping the young at bay.

Trend 3: Science is Becoming More Data-Driven

Rise of the digital economy can be thought of as the maturation of the social mind. The society as a whole is aging, not just us. You can tell this also from how science is shifting from being hypothesis-driven to being data-driven, thanks to digital technologies. (Take a look at the blog post I have written on this subject.) Social mind is moving from conscious thinking to unconscious thinking, becoming more intuitive and getting wiser in the process.

Trend 4: Economy is Getting Lighter

As software is taking over the world, information is being infused into everything and our use of matter is getting smarter.

Automobiles weigh less than they once did and yet perform better. Industrial materials have been replaced by nearly weightless high-tech know-how in the form of plastics and composite fiber materials. Stationary objects are gaining information and losing mass, too. Because of improved materials, high-tech construction methods, and smarter office equipment, new buildings today weigh less than comparable ones from the 1950s. So it isn’t only your radio that is shrinking, the entire economy is losing weight too.

Kevin Kelly - New Rules for the New Economy (Pages 73-74)

Energy use in US has stayed flat despite enormous growth. We now make less use of atoms, and the share of tangibles in total equity value is continuously decreasing. As R. Buckminster Fuller said, our economies are being ephemeralized thanks to the technological advances which are allowing us to do "more and more with less and less until eventually [we] can do everything with nothing."

This trend will probably, in a rather unexpected way, ease the global warming problem. (Remember, it is the sheer mass of what is being excavated and moved around, that is responsible for the generation of greenhouse gases.)

Trend 5: Power is Shifting from West to East

Now I will venture far further and bring religion into the picture. There are some amazing historical dynamics at work that can be recognized only by elevating ourselves and looking at the big picture.

First, let us take a look at the Western world.

  • Becoming. West chose a pragmatic, action-oriented attitude towards Becoming and did not directly philosophize about it.

  • Being. Western religions are built on the notion of Being. Time is deemed to be an illusion and God is thought of as a static all-encompassing Being, not too different from the entirety of Mathematics. There is believed to be an order behind the messy unfolding of Becoming, an order that is waiting to be discovered by us. It is with this deep conviction that Newton managed to discover the first mathematical formalism to predict natural phenomena. There is nothing in the history of science that is comparable to this achievement. Only a religious zeal could have generated the sort of tenacity that is needed to tackle a challenge of this magnitude.

This combination of applying intuition to Becoming and reason to Being eventually led to a meteoric rise in technology and economy.

Side Note: Although an Abrahamic religion itself, Islam did not fuel a similar meteoric rise, because it was practiced more dogmatically. Christianity on the other hand self-reformed itself into a myriad of sub-religions. Although not too great, there was enough intellectual freedom to allow people to seek unchanging patterns in reality, signs of Being within Becoming. Islam on the other hand persecuted any such aspirations. Even allegorical paintings about Being was not allowed.

East did the opposite and applied reason to Becoming and intuition to Being.

  • Becoming. East based its religion in Becoming and this instilled a fundamental suspicion against any attempts to mathematically model the unfolding reality or seek absolute knowledge. Of course, reasoning about Becoming without an implicit belief in unchanging absolutes is not an easy task. In fact, it is so hard that one has no choice but to be imprecise and poetic, and of course that is exactly what Eastern religions did. (Think of Taoism.)

  • Being. How about applying intuition to Being? How can you go about experiencing Being directly, through the “heart” so to speak? Well, through non-verbal silent meditation of course! That is exactly what Eastern religions did. (Think of Buddhism.)

Why could not East reason directly about Becoming in a formal fashion, like West reasoned directly about Being using mathematics? Remember Galileo saying "Mathematics is the language in which God has written the universe." What would have been the corresponding statement for the East? In other words, what is the formal language of Becoming? It is computer science of course, which was born out of Mathematics in the West around 1930s.

Now you understand why West was so lucky. Even if East had managed to discover computer science first, it would have been useless in understanding Becoming, because without the actual hardware to run simulations, you can not create computational models. A model needs to be run on something. It is not like a math theory in a book, waiting for you to play with it. Historically speaking, mathematics had to come first, because it is the cheaper, more basic technology. All you need is literally a pen, a paper and a trash bin.

Side Note: Here is a nerdy joke for you… The dean asks the head of the physics department to see him. “Why are you using so many resources? All those labs and experiments and whatnot; this is getting expensive! Why can’t you be more like mathematicians – they only need pens, paper, and a trash bin. Or philosophers – they only need pens and paper!”

But now is different. We have tremendous amounts of cheap computation and storage at our disposal, allowing us to finally crack the language of Becoming. Our entire economy is shifting from physical to digital, and our entire culture is shifting from space to time. An extraordinary period indeed!

It was never a coincidence that Chinese mathematicians chose to work in (and subsequently dominated) statistics, the most practical fields within mathematics. (They are culturally oriented toward Becoming.) Now all these statisticians are turning into artificial intelligence experts while West is still being paranoid about the oncoming Singularity, the exponential rise of AI.

Why have the Japanese always loved robots while the West has always been afraid of them? Why is the adoption of digital technologies happening faster in the East? Why are the kids and their parents in the East less worried about being locked into digital screens? As we elaborated above, the answer is metaphysical. Differences in metaphysical frameworks (often inherited from religions) are akin to the hard-to-notice (but exceptionally consequential) differences in the low-level code sitting right above the hardware.

Now guess who will dominate the new digital era? Think of the big picture. Do not extrapolate from recent past, think of the vast historical patterns.

I believe that people are made equal everywhere and in the long-run whoever is more zealous wins. East is more zealous about Becoming than the West, and therefore will sooner or later dominate the digital era. Our kids will learn their languages and find their religious practices more attractive. (Meditation is already spreading like wildfire.) What is “cool” will change and all these things will happen effortlessly in a mindless fashion, due to the fundamental shift in Zeitgeist and the strong structural forces of economics.

Side Note: Remember, in Duality 4, we had said that the East has an intrinsic tendency to regulate digital businesses rather than physical businesses. And here we just claimed that the East has an intrinsic passion for building digital businesses rather than physical businesses. Combining these two observations, we can predict that the East will unleash both greater energy and greater restrain in the digital domain. This actually makes a lot of sense, and is in line with the famous marketing slogan of the tyre manufacturing company Pirelli: “Power is Nothing Without Control”

Will the pendulum eventually swing back? Will the cover pages again feature physical businesses as they used to do a decade ago? The answer is no. Virtualization is one of the main trends in evolution. Units of evolution are getting smarter and becoming increasingly more governed by information dynamics rather than energy dynamics. (Information is substrate independent. Hence the term “virtualization”.) Nothing can stop this trend, barring some temporary setbacks here and there.

It seems like West has only two choices in the long run:

  1. It can go through a major religious overhaul and adopt a Becoming-oriented interpretation of Christianity, like that of Teilhard de Chardin.

  2. It can continue as is, and be remembered as the civilization that dominated the short intermediary period which begun with the birth of mathematical modeling and ended with the birth of computational modeling. (Equivalently, one could say that West dominated the industrial revolution and East will dominate the digital revolution.)


If you liked this post, you will probably enjoy the older post Innovative vs Classical Businesses as well. (Note that digital does not mean innovative and physical does not mean classical. You can have a classical digital or an innovative physical business.)

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.

dire need for social reform

Look at the history of all mass social traumas. (Rise and fall of feudalism etc.) You will see that they are all preceded by transformative technological and economic disruptions and followed by transformative social and spiritual reforms.

We are going through a similar trauma at the moment. These structural changes can be hard to see while you are inside them since they manifest themselves in myriad of details. However when you go back to evaluate what happened, the picture is always crystal clear. (This evaluation can not be conducted right after the dust settles. You literally need some distance to see what really happened.)

Today we have entered into a new phase in the development of the next layer of complexity within the grand narrative of life. (To understand what I mean, read Emergence of Life post.) This new technological wave is slowly unfolding, but it is probably on par with the industrial revolution, perhaps even a couple of magnitudes more powerful. Long story short, our centralized digital brain has finally emerged. (i.e. The multi-cloud layer linking up all cloud-based computation and storage resources.) This development has already started to have massive effects on our psyches via the infiltration of social media and the penetration of artificial intelligence into our everyday lives. Artists and writers have felt the zeitgeist and are responding to it by writing books and shooting movies to raise social awareness about the oncoming possible consequences of the new technologies.

Clearly, the emergence of the next life forms is a vastly complicated, non-linear process. Nature is giving birth to something new through us and naturally we are the ones who are most affected by this traumatic unfolding.

Today, society as we know it is literally falling apart:

  • Friendship has evolved into an unrecognizable form.

  • Our lives have become so complex (a natural side effect of the emergence) and we expect so much from our life partners that the notion of marriage has morphed into an all-or-nothing form. Divorce rates are skyrocketing, and the whole institution is crumbling under immense weight.

  • Our schools are extremely out-of-date and nobody seems to have the balls, persistence and the vision to reform them. (Hint: Handing out more screens will not solve the problem.) We are not preparing our kids for the challenges they will be facing when they grow up. In fact, we are not even preparing them for today’s challenges. The situation is so ridiculous that I sincerely believe that we would be better off by turning the entire thing off.

  • Our economic and social safety nets are insufficient to cope with the oncoming technological wave. People are feeling left-behind and depressed, especially since our current macro structures are implicitly asking them to derive the meaning of life from their jobs. (Hint: Handing out more money will not solve the problem.) Only after the epic rise of China (with its top-down, long-term-thinking, centralized, globally-optimized decision making mechanisms) have the business elites in United States recognized that they actually have social obligations, beyond maximizing shareholder value.

And the list goes on…

We need to speed up, otherwise our social reforms will not be able catch up with the increasing speed and magnitude of technological changes. Make no mistake, technology will not slow down for us. Emergence of the next level of life forms is an unstoppable process. If this process collapses, we, as humanity, will collapse along with it. In other words, if we can not give rise to these new life forms, evolution will promptly get rid of us and try again. (Human-level minds will re-emerge somehow, somewhen, somewhere.)

So what are we doing now? Are we reforming?

No.

What type of leaders do you need for preaching social progress and propagating social reform? You need liberal leaders. What have our liberal leader done? They fucked up badly, really really badly. Now conservatism is coming back with full force everywhere. People are fleeing back to safety, falling back onto old notions, closing down on themselves, against each other and towards new ideas. And they have every right to do so, because they feel betrayed. They can not pinpoint exactly what went wrong, but they feel that the elites have not done their jobs. And they are absolutely right. Elites chose to mind their own business and think of their own pockets. Most still feel no sense of duty towards the society. If they felt any, we would not be in this shit situation today, regressing back in time while technology is marching ahead with no stop in sight.

It will probably take another 20 years before the society gives another chance to liberal progressives and opens up to new social reforms. Again, make no mistake, liberals have done this to themselves. They can not cry it out. They need to change. In a world where a substantial majority of the graduates of the most revered university (Harvard College) chooses to pursue careers in investment banking and consulting, in a world where the most revered technology leader (Elon Musk) sees salvation of humanity through a fantasy colonization of Mars, common people will obviously feel betrayed. Our best brains need to be socially conscious. Our best leaders need to be morally sensible. If they will not do the job, society will look elsewhere, just as they are doing now.

There is an immense psychological distress at the moment. People who are supposed to save us are clueless. They do not have any spiritual strength to deal with this new (self-induced) massive attack on our social infrastructures and well-beings.

  • Most define their lives through their work, which will soon mostly be rendered irrelevant by artificial intelligence. These ones are hopeless.

  • Some define their lives through their children. These ones will be sacrificing the spiritual health of the children to salvage their own, by making the children serve their own psychological needs.

  • Some, as expected, seek help from science. But the psychologists are clueless about questions of meaning. They have even less of an idea about the deep structural evolutionary causative factors that have led to this mess.

As I said at the beginning, all technological shocks have to be followed by spiritual transformations. We literally need to ask again to ourselves what it means to be a human being. To do this at scale, we need a new set of spiritual leaders who can guide us through this new mess we created. Religion should evolve to stay relevant. Our educated elite is no longer governed by any higher values simply because they can not find any religious doctrines they can resonate with. (Doctrines meant to be addressed to uneducated masses living two thousand years ago will not do the job.)

What may be salvaging us today is a few glitters of basic humanistic instincts, here and there, a few good people with good common sense in some high level offices. But this is clearly not enough. You can not solve the greater social challenges we are facing today simply by throwing more love at them. Of course, empathy is necessary for revising and building the superstructures we need, but it is not enough by itself. (It is not even enough in quantity at the moment.)

Salvation will not happen by going to Mars. It will happen through a deep understanding of how evolution works, and through a guided progressive social reform that is not out-of-touch with the new challenges of our times.

My biggest worry is that we are slowing down too much today. Do you know what happens when spiritual guidance and principles of social self-governance fail to keep up with technological progress? Bad decisions and eventually wars! Darkness takes over, and humanity gets hammered until it realigns its values and understands its real priorities.

“The saddest aspect of life right now is that science gathers knowledge faster than society gathers wisdom.”

- Isaac Asimov

Why do we always have to go through the hard way? We need to understand that this game is getting exponentially more dangerous. We are not playing with swords any more. After the next world war, there may not be another “phoenix rising from its ashes” story. Of course, as I said before, nature will always rise from its ashes and keep constructing greater complexities and autonomies, but that does not necessarily have to involve us.

emergence of life

Cardiac rhythm is a good example of a network that includes DNA only as a source of protein templates, not as an integral part of the oscillation network. If proteins were not degraded and needing replenishment, the oscillation could continue indefinitely with no involvement of DNA...

Functional networks can therefore float free, as it were, of their DNA databases. Those databases are then used to replenish the set of proteins as they become degraded. That raises several more important questions. Which evolved first: the networks or the genomes? As we have seen, attractors, including oscillators, form naturally within networks of interacting components, even if these networks start off relatively uniform and unstructured. There is no DNA, or any equivalent, for a spiral galaxy or for a tornado. It is very likely, therefore, that networks of some kinds evolved first. They could have done so even before the evolution of DNA. Those networks could have existed by using RNA as the catalysts. Many people think there was an RNA world before the DNA-protein world. And before that? No one knows, but perhaps the first networks were without catalysts and so very slow. Catalysts speed-up reactions. They are not essential for the reaction to occur. Without catalysts, however, the processes would occur extremely slowly. It seems likely that the earliest forms of life did have very slow networks, and also likely that the earliest catalysts would have been in the rocks of the Earth. Some of the elements of those rocks are now to be found as metal atoms (trace elements) forming important parts of modern enzymes.

Noble - Dance to the Tune of Life (Pages 83, 86)

Darwin unlocked evolution by understanding its slow nature. (He was inspired by the recent geological discoveries indicating that water - given enough time - can carve out entire canyons.) Today we are still under the influence of a similar Pre-Darwinian bias. Just as we were biased in favor of fast changes (and could not see the slow moving waves of evolution), we are biased in favor of fast entities. (Of course, what is fast or slow is defined with respect to the rate of our own metabolisms.) For instance, we get surprised when we see a fast-forwarded video of growing plants, because we equate life with motion and regard slow moving life forms as inferior.

Evolution favors the fast and therefore life is becoming increasingly faster at an increasingly faster rate. Imagine catalyzed reactions, myelinated neurons etc. Replication is another such accelerator technology. Although we tend to view it as a must-have quality of life, what is really important for the definition of life is repeating "patterns” and such patterns can emerge without any replication mechanisms. In other words, what matters is persistence. Replication mechanisms speed up the evolution of new forms of persistence. That is all. Let me reiterate again: Evolution has only two ingredients, constant variation and constant selection. (See Evolution as a Physical Theory post) Replication is not fundamental.

Unfortunately most people still think that replicators came first and led to the emergence of functional (metabolic) networks later, although this order is extremely unlikely since replicators have an error-correction problem and need supportive taming mechanisms (e.g. metabolic networks) right from the start.

In our present state of ignorance, we have a choice between two contrasting images to represent our view of the possible structure of a creature newly emerged at the first threshold of life. One image is the replicator model of Eigen, a molecular structure tightly linked and centrally controlled, replicating itself with considerable precision, achieving homeostasis by strict adherence to a rigid pattern. The other image is the "tangled bank" of Darwin, an image which Darwin put at the end of his Origin of Species to make vivid his answer to the question, What is Life?, an image of grasses and flowers and bees and butterflies growing in tangled profusion without any discernible pattern, achieving homeostasis by means of a web of interdependences too complicated for us to unravel.

The tangled bank is the image which I have in mind when I try to imagine what a primeval cell would look like. I imagine a collection of molecular species, tangled and interlocking like the plants and insects in Darwin's microcosm. This was the image which led me to think of error tolerance as the primary requirement for a model of a molecular population taking its first faltering steps toward life. Error tolerance is the hallmark of natural ecological communities, of free market economies and of open societies. I believe it must have been a primary quality of life from the very beginning. But replication and error tolerance are naturally antagonistic principles. That is why I like to exclude replication from the beginnings of life, to imagine the first cells as error-tolerant tangles of non-replicating molecules, and to introduce replication as an alien parasitic intrusion at a later stage. Only after the alien intruder has been tamed, the reconciliation between replication and error tolerance is achieved in a higher synthesis, through the evolution of the genetic code and the modern genetic apparatus.

The modern synthesis reconciles replication with error tolerance by establishing the division of labor between hardware and software, between the genetic apparatus and the gene. In the modem cell, the hardware of the genetic apparatus is rigidly controlled and error-intolerant. The hardware must be error-intolerant in order to maintain the accuracy of replication. But the error tolerance which I like to believe inherent in life from its earliest beginnings has not been lost. The burden of error tolerance has merely been transferred to the software. In the modern cell, with the infrastructure of hardware firmly in place and subject to a strict regime of quality control, the software is free to wander, to make mistakes and occasionally to be creative. The transfer of architectural design from hardware to software allowed the molecular architects to work with a freedom and creativity which their ancestors before the transfer could never have approached.

Dyson - Infinite in All Directions (Pages 92-93)

Notice how Dyson frames replication mechanisms as stabilizers allowing metabolic networks to take even further risks. In other words, replication not only speeds up evolution but also enlarges the configuration space for it. So we see not only more variation per second but also more variation at any given time.

Going back to our original question…

Life was probably unimaginably slow at the beginning. In fact, such life forms are probably still out there. Are spiral galaxies alive for instance? What about the entire universe? We may be just too local and too fast to see the grand patterns.

As Noble points out in the excerpt above, our bodies contain catalyst metals which are remnants of our deep past. Those metals were forged inside stars far away from us and shot across the space via supernova explosions. (This is how all heavy atoms in the universe got formed.) In other words, they used to be participants in vast-scale metabolic networks.

In some sense, life never emerged. It was always there to begin with. It is just speeding up over time and thereby life forms of today are becoming blind to life form of deep yesterdays.

It is really hard not to be mystical about all this. Have you ever felt bad about disrupting repeating patterns for instance, no matter how physical they are? You can literally hurt such patterns. They are the most embryonic forms of life, some of which are as old as those archaic animals who still hang around in the deep oceans. Perhaps we should all work a little on our artistic sensitivities which would in turn probably give rise to a general increase in our moral sensitivities.


How Fast Will Things Get?

Life is a nested hierarchy of complexity layers and the number of these layers increases overtime. We are already forming many layers above ourselves, the most dramatic of which is the entirety of our technological creations, namely what Kevin Kelly calls as Technium.

Without doubt, we will look pathetically slow for the newly emerging electronic forms of life. Just as we have a certain degree of control over the slow-moving plants, they too (will need us but also) harvest us for their own good. (This is already happening as we are becoming more and more glued to our screens.)

But how much faster will things eventually get?

According to the generally accepted theories, our universe started off with a big bang and went through a very fast evolution that resulted in a sudden expansion of space. While physics has since been slowing down, biology (including new electronic forms) is picking up speed at a phenomenal rate.

Of all the sustainable things in the universe, from a planet to a star, from a daisy to an automobile, from a brain to an eye, the thing that is able to conduct the highest density of power - the most energy flowing through a gram of matter each second - lies at the core of your laptop.

Kelly - What Technology Wants (Page 59)

Evolution seems to be taking us to a very strange end, an end that seems to contain life forms that exhibit features that are very much like those exhibited by the beginning states of physics, extreme speed and density. (I had brought up this possibility at the end of Evolution as a Physical Theory post as well.)

Of course, flipping this logic, the physical background upon which life is currently unfolding is probably alive as well. I personally believe that this indeed is the case. To understand what I mean, we will first need to make an important conceptual clarification and then dive into Quantum Mechanics.



Autonomy as the Flip-Side of Control

Autonomy and control are two sides of the same coin, just like one man's freedom fighter is always another man's terrorist. In particular, what we can not exert any control over looks completely autonomous to us.

But how do you measure autonomy?

Firstly, notice that autonomy is a relative concept. In other words, nothing can be autonomous in and of itself. Secondly, the degree of autonomy correlates with the degree of unanticipatability. For instance, something will look completely autonomous to you only if you can not model its behavior at all. But how would such a behavior literally look like, any guesses? Yes, that is right, it would look completely random.

Random often means inability to predict... A random series should show no discernible pattern, and if one is perceived then the random nature of the series is denied. However, the inability to discern a pattern is no guarantee of true randomness, but only a limitation of the ability to see a pattern... A series of ones and noughts may appear quite random for use as a sequence against which to compare the tossing of a coin, head equals one, tails nought, but it also might be the binary code version of a well known song and therefore perfectly predictable and full of pattern to someone familiar with binary notation.

Shallis - On Time (Pages 122-124)

The fact that randomness is in the eye of the beholder (and that absolute randomness is an ill-defined notion) is the central tenet of Bayesian school of probability. The spirit is also similar to how randomness is defined in algorithmic complexity theory, which I do not find surprising at all since computer scientists are empiricists at heart.

Kolmogorov randomness defines a string (usually of bits) as being random if and only if it is shorter than any computer program that can produce that string. To make this precise, a universal computer (or universal Turing machine) must be specified, so that "program" means a program for this universal machine. A random string in this sense is "incompressible" in that it is impossible to "compress" the string into a program whose length is shorter than the length of the string itself. A counting argument is used to show that, for any universal computer, there is at least one algorithmically random string of each length. Whether any particular string is random, however, depends on the specific universal computer that is chosen.

Wikipedia - Kolmogorov Complexity

Here a completely different terminology is used to say basically the same thing:

  • “compressibility” = “explanability” = “anticipatability”

  • “randomness can only be defined relative to a specific choice of a universal computer” = “randomness is in the eye of the beholder”



Quantum Autonomy

Quantum Mechanics has randomness built into its very foundations. Whether this randomness is absolute or the theory itself is currently incomplete is not relevant. There is a maximal degree of unanticipatability (i.e. autonomy) in Quantum Mechanics and it is practically uncircumventable. (Even the most deterministic interpretations of Quantum Mechanics lean back on artificially introduced stochastic background fields.)

Individually quantum collapses are completely unpredictable, but collectively they exhibit a pattern over time. (For more on such structured forms of randomness, read this older blog post.) This is actually what allows us to tame the autonomy of quantum states in practice: Although we can not exert any control over them at any point in time, we can control their behavior over a period of time. Of course, as life evolves and gets faster (as pointed out in the beginning of this post), it will be able to probe time periods at more and more frequent rates and thereby tighten its grip on quantum phenomena increasingly more.

Another way to view maximal unanticipatability is to frame it as maximal complexity. Remember that every new complexity layer emerges through a complexification process. Once a functional network with a boundary becomes complex enough, it starts to behave more like an “actor” with teleological tendencies. Once it becomes ubiquitous enough, it starts to display an ensemble-behavior of its own, forming a higher layer of complexity and hiding away its own internal complexities. All fundamentally unanticipatable phenomena in nature are instances of such actors who seem to have a sense of unity (a form of consciousness?) that they “want” to preserve.

Why should quantum phenomena be an exception? Perhaps Einstein was right and God does not play dice, and that there are experimentally inaccessible deeper levels of reality from which quantum phenomena emerge? (Bohm was also thinking this way.) Perhaps it is turtles all the way down (and up)?

Universe as a Collection of Nested Autonomies

Fighting for power is the same thing as fighting for control, and gaining control of something necessitates outgrowing the complexity of that thing. That is essentially why life is becoming more complex and autonomous over time.

Although each complexity layer can accommodate a similar level of maximal complexity within itself before starting to spontaneously form a new layer above itself, due to the nested nature of these layers, total complexity rises as new layers emerge. (e.g. We are more complex than our cells since we contain their complexity as well.)

It is not surprising that social sciences are much less successful than natural sciences. Humans are not that great at modeling other humans. This is expected. You need to out-compete in complexity what you desire to anticipate. Each layer can hope to anticipate only the layers below it. Brains are not complex enough to understand themselves. (It is amazing how we equate smartness with the ability to reason about lower layers like physics, chemistry etc. Social reasoning is actually much more sophisticated, but we look down on it since we are naturally endowed with it.)

Side Note: Generally speaking, each layer can have generative effects only upwards and restrictive effects only downwards. Generative effects can be bad for you as in having cancer cells and restrictive effects can be good for you as in having a great boss. Generative effects may falsely look restrictive in the sense that what generates you locks you in form, but it is actually these effects themselves which enable the exploration of the form space in the first place. Think at a population level, not at an individual level. Truth resides there.

Notice that as you move up to higher levels, autonomy becomes harder to describe. Quantum Mechanics, which currently seems to be the lowest level of autonomy, is open to mathematical scrutiny, but higher levels can only be simulated via computational methods and are not analytically accessible.

I know, you want to ask “What about General Relativity? It describes higher level phenomena.” My answer to that would be “No, it does not.”

General Relativity does not model a higher level complexity. It may be very useful today but it will become increasingly irrelevant as life dominates the universe. As autonomy levels increase all over, trying to predict galactic dynamics with General Relativity will be as funny and futile as using Fluid Dynamics to predict the future carbon dioxide levels in the atmosphere without taking into consideration the role of human beings. General Relativity models the aggregate dynamics of quantum “decisions” made at the lowest autonomy level. (We refer to this level-zero as “physics”.) It is predictive as long as higher autonomy levels do not interfere.

God as the Highest Level of Autonomy

The universe shows evidence of the operations of mind on three levels. The first level is elementary physical processes, as we see them when we study atoms in the laboratory. The second level is our direct human experience of our own consciousness. The third level is the universe as a whole. Atoms in the laboratory are weird stuff, behaving like active agents rather than inert substances. They make unpredictable choices between alternative possibilities according to the laws of quantum mechanics. It appears that mind, as manifested by the capacity to make choices, is to some extent inherent in every atom. The universe as a whole is also weird, with laws of nature that make it hospitable to the growth of mind. I do not make any clear distinction between mind and God. God is what mind becomes when it has passed beyond the scale of our comprehension. God may be either a world-soul or a collection of world-souls. So I am thinking that atoms and humans and God may have minds that differ in degree but not in kind. We stand, in a manner of speaking, midway between the unpredictability of atoms and the unpredictability of God. Atoms are small pieces of our mental apparatus, and we are small pieces of God's mental apparatus. Our minds may receive inputs equally from atoms and from God.

Freeman Dyson - Progress in Religion

I remember the moment when I ran into this exhilarating paragraph of Dyson. It was so relieving to find such a high-caliber thinker who also interprets quantum randomness as choice-making. Nevertheless, with all due respect, I would like to clarify two points that I hope will help you understand Dyson’s own personal theology from the point of view of the philosophy outlined in this post.

  • There are many many levels of autonomies. Dyson points out only the most obvious three. (He calls them “minds” rather than autonomies.)

    • Atomic. Quantum autonomy is extremely pure and in your face.

    • Human. A belief in our own autonomy comes almost by default.

    • Cosmic. Universe as a whole feels beyond our understanding.

  • Dyson defines God as “what mind becomes when it has passed beyond the scale of our comprehension” and then he refers to the entirety of the universe as God as well. I on the other hand would have defined God as the top level autonomy and not referred to human beings or the universe at all, for the following two reasons:

    • God should not be human centric. Each level should be able to talk about its own God. (There are many things out there that would count you as part of their God.)

      • Remember that the levels below you can exert only generative efforts towards you. It is only the above-levels that can restrict you. In other words, God is what constraints you. Hence, striving for freedom is equivalent to striving for Godlessness. (It is no surprise that people turn more religious when they are physically weak or mentally susceptible.) Of course, complete freedom is an unachievable fantasy. What makes humans human is the nurturing (i.e. controlling) cultural texture they are born into. In fact, human babies can not even survive without a minimal degree of parental and cultural intervention. (Next time you look into your parents’ eyes, remember that part of your God resides in there.) Of course, we also have a certain degree of freedom in choosing what to be governed by. (Some let money govern them for instance.) At the end of the day, God is a social phenomenon. Every single higher level structure we create (e.g. governments selected by our votes, algorithms trained on our data) governs us back. Even the ideas and feelings we restrict ourselves by arise via our interactions with others and do not exist in a vacuum.

    • Most of the universe currently seems to exhibit only the lowest level of autonomy. Not everywhere is equally alive.

      • However, as autonomy reaches higher levels, it will expand in size as well, due to the nested and expansionary nature of complexity generation. (Atomic autonomy lacks extensiveness in the most extreme sense.) So eventually the top level autonomy should grow in size and seize the whole of reality. What happens then? How can such an unfathomable entity exercise control over the entire universe, including itself? Is not auto-control paradoxical in the sense that one can not out-compete in complexity oneself? We should not expect to be able to answer such tough questions, just like we do not expect a stomach cell to understand human consciousness. Higher forms of life will be wildly different and smarter than us. (For instance, I bet that they will be able to manipulate the spacetime fabric which seems to be an emergent phenomenon.) In some sense, it is not surprising that there is such a proliferation of religions. God is meant to be beyond our comprehension.

Four men, who had been blind from birth, wanted to know what an elephant was like; so they asked an elephant-driver for information. He led them to an elephant, and invited them to examine it; so one man felt the elephant's leg, another its trunk, another its tail and the fourth its ear. Then they attempted to describe the elephant to one another. The first man said ”The elephant is like a tree”. ”No,” said the second, ”the elephant is like a snake“. “Nonsense!” said the third, “the elephant is like a broom”. ”You are all wrong,” said the fourth, ”the elephant is like a fan”. And so they went on arguing amongst themselves, while the elephant stood watching them quietly.

- The Indian folklore story of the blind men and the elephant, as adapted from E. J. Robinson’s Tales and Poems of South India by P. T. Johnstone in the Preface of Sketches of an Elephant

genius vs wisdom

Genius maxes out upon birth and gradually diminishes. Wisdom displays the opposite dynamics. It is nonexistent at birth and gradually builds up until death. That is why genius is often seen as a potentiality and wisdom as an actuality. (Youth have potentiality, not the old.)

Midlife crises tend to occur around the time when wisdom surpasses genius. That is why earlier maturation correlates with earlier “mid” life crisis. (On the other hand, greater innate genius does not result in a delayed crisis since it entails faster accumulation of wisdom.)


"Every child is an artist. The problem is how to remain an artist once we grow up."
- Pablo Picasso

Here Picasso is actually asking you to maintain your genius at the expense of gaining less wisdom. That is why creative folks tend to be quite unwise folks (and require the assistance of experienced talent managers to succeed in the real world). They methodologically wrap themselves inside protective environments that allow them to pause or postpone their maturation.

Generally speaking, the greater control you have over your environment, the less wisdom you need to survive. That is why wisest people originate from low survival-rate tough conditions, and rich families have hard time raising unspoiled kids without simulating artificial scarcities. (Poor folks have the opposite problem and therefore simulate artificial abundances by displaying more love, empathy etc.)


"Young man knows the rules and the old man knows the exceptions."
- Oliver Wendell Holmes Sr.

Genius is hypothesis-driven and wisdom is data-driven. That is why mature people tend to prefer experimental (and historical) disciplines, young people tend to dominate theoretical (and ahistorical) disciplines etc.

The old man can be rigid but he can also display tremendous cognitive fluidity because he can transcend the rules, improvise and dance around the set of exceptions. In fact, he no longer thinks of the exceptions as "exceptions" since an exception can only be defined with respect to a certain collection of rules. He directly intuits them as unique data points and thus is not subject to the false positives generated by operational definitions. (The young man on the other hand has not explored the full territory of possibilities yet and thus needs a practical guide no matter how crude.)

Notice that the old man can not transfer his knowledge of exceptions to the young man because that knowledge is in the form of an ineffable complex neural network that has been trained on tons of data. (Apprentice-master relationships are based on mimetic learning.) Rules on the other hand are much more transferable since they are of linguistic nature. (They are not only transferable but also a lot more compact in size, compared to the set of exceptions.) Of course, the fact that rules are transferable does not mean that the transfers actually occur! (Trivial things are deemed unworthy by the old man and important things get ignored by the young man. It is only the stuff in the middle that gets successfully transferred.)

Why is it much harder for old people to change their minds? Because wisdom is data-driven, and in a data-driven world, bugs (and biases) are buried inside large data sets and therefore much harder to find and fix. (In a hypothesis driven world, all you need to do is to go through the much shorter list of rules, hypotheses etc.)


The Hypothesis-Data duality highlighted in the previous section can be recast as young people being driven more by rational thinking vs. old people being driven more by intuitional thinking. (In an older blog post, we had discussed how education should focus on cultivating intuition, which leads to a superior form of thinking.)

We all start out life with a purely intuitive mindset. As we learn we come up with certain heuristics and rules, resulting in an adulthood that is dominated by rationality. Once we accumulate enough experience (i.e. data), we get rid of these rules and revert back to an intuitive mindset, although at a higher level than before. (That is why the old get along very well with kids.)

Artistic types (e.g. Picasso) tend to associate genius with the tabula-rasa intuitive fluidity of the newborn. Scientific types tend to associate it with the rationalistic peak of adulthood. (That is why they start to display insecurities after they themselves pass through this peak.)

As mentioned in the previous section, rules are easily transferable across individuals. Results of intuitive thinking on the other hand are non-transferable. From a societal point of view, this is a serious operational problem and the way it is overcome is through a mechanism called “trust”. Since intuition is a black box (like all machine learning models are), the only way you can transfer it is through a wholesome imitation of the observed input-outputs. (i.e. mimetic learning) In other words, you can not understand black box models, you can only have faith in them.

As we age and become more intuition-driven, our trust in trust increases. (Of course, children are dangerously trustworthy to begin with.) Adulthood on the other hand is dominated by rational thinking and therefore corresponds to the period when we are most distrustful of each other. (No wonder why economists are such distrustful folks. They always model humans as ultra-rationalistic machines.)

Today we vastly overvalue the individual over the society, and the rational over the intuitional. (Just look at how we structure school curriculums.) We decentralized society and trivialized the social fabric by centralizing trust. (Read the older blogpost Blockchain and Decentralization) We no longer trust each other because we simply do not have to. Instead we trust the institutions that we collectively created. Our analytical frameworks have reached an individualist zenith in Physics which is currently incapable of guaranteeing the reality of other peoples’ points of view. (Read the older blogpost Reality and Analytical Inquiry) We banished faith completely from public discourse and have even demanded God to be verifiable.

In short, we seem to be heading to the peak adulthood phase of humanity, facing a massive mid-life crisis. Our collective genius has become too great for our own good.

In this context, the current rise of data-driven technological paradigms is not surprising. Humanity is entering a new intuitive post-midlife-crisis phase. Our collective wisdom is now being encoded in the form of disembodied black-box machine-learning models which will keep getting more and more sophisticated over time. (At some point, we may dispense with our analytical models altogether.) Social fabric on the other hand will keep being stretched as more types of universally-trusted centralized nodes emerge and enable new forms of indirect intuition transfer.

Marx was too early. He viewed socialism in a human way as a rationalistic inevitability, but it will probably arrive in an inhuman fashion via intuitionistic technologies. (Calling such a system still as socialism will be vastly ironic since it will be resting on complete absence of trust among individuals.) Of course, not every decision making will be centralized. Remember that the human mind itself emerged for addressing non-local problems. (There is still a lot of local decision making going on within our cells etc.) The “hive” mind will be no different, and as usual, deciding whether a problem in the gray zone is local or non-local will be determined through a tug-of-war.

The central problem of ruler-ship, as Scott sees it, is what he calls legibility. To extract resources from a population the state must be able to understand that population. The state needs to make the people and things it rules legible to agents of the government. Legibility means uniformity. States dream up uniform weights and measures, impress national languages and ID numbers on their people, and divvy the country up into land plots and administrative districts, all to make the realm legible to the powers that be. The problem is that not all important things can be made legible. Much of what makes a society successful is knowledge of the tacit sort: rarely articulated, messy, and from the outside looking in, purposeless. These are the first things lost in the quest for legibility. Traditions, small cultural differences, odd and distinctive lifeways … are all swept aside by a rationalizing state that preserves (or in many cases, imposes) only what it can be understood and manipulated from the 2,000 foot view. The result, as Scott chronicles with example after example, are many of the greatest catastrophes of human history.

Tanner Greer - Tradition is Smarter Than You

reality and analytical inquiry

What is real and out there? This question is surprisingly hard to answer.

The only way we seem to be able to define ontology is as shared epistemology. (Every other definition suffers from an immediate deficiency.) In other words, what is real is what every possible point of view agrees upon, and vice versa. There is no such thing as your reality. (Note that this definition breaks the duality between ontology and epistemology. The moment you make inferences about the former, it gets subsumed by the latter. Is this surprising? Epistemology is all about making inferences. In other words, the scientific method itself is what is breaking the duality.)

Now we have a big problem: Ontological changes can not be communicated to all points of view at the same time in an instantaneous manner. This is outlawed by the finiteness of the speed of the fastest causation propagator which is usually taken as light. In fact, according to our current understanding of physics, there seems to be nothing invariant across all points of view. (e.g. Firewall paradox, twin paradox etc.) Whenever we get our hands onto some property, it slips away with the next advance in our theories.

This is a weird situation, an absolute mind-fuck to be honest. If we endorse all points of views, we can define ontology but then nothing seems to be real. If we endorse only our point of view, we can not define ontology at all and get trapped in a solipsistic world where every other point of view becomes unreal and other people turn into zombies.

Could all different points of views be part of a single - for lack of a better term “God” - point of view? In this case, our own individual point of view becomes unreal. This is a bad sacrifice indeed, but could it help us salvage reality? Nope… Can the universe observe itself? The question does not even make any sense!

It seems like physics can not start off without assuming a solipsistic worldview, adopting a single coordinate system which can not be sure about the reality of other coordinate systems.

In an older blog post, I had explained how dualities emerge as byproducts of analytical inquiry and thereby artificially split the unity of reality. Here we have a similar situation. The scientific method (i.e. analytical inquiry) is automatically giving rise to solipsism and thereby artificially splitting the unity of reality into considerations from different points of views.

In fact, the notions of duality and solipsism are very related. To see why, let us assume that we have a duality between P and not-P. Then

  • Within a single point of view, nothing can satisfy both P and not-P.

  • No property P stays invariant across all points of views.

Here, the first statement is a logical necessity and the second statement is enforced upon us by our own theories. We will take the second statement as the definition of solipsism.

Equivalently, we could have said

  • If property P holds from the point of view of A and not-P holds from the point of view of B, then A can not be equal to B.

  • For every property P, there exists at least one pair (A,B) such that A is not equal to B and P holds from the point of view of A while not-P holds from the point of view of B.

Now let X be the set of pairs (A,B) such that P holds from the point of view of A and not-P holds from the point of view of B. Also let △ stand for the diagonal set consisting of pairs (A,A). Then the above statements become

  • X can not hit △.

  • X can not miss the complement of △.

Using just mathematical notation we have

  • X ∩ △ = ∅

  • X ∩ △’ ≠ ∅

In other words, dualities and solipsism are defined using the same ingredients! Analytical inquiry gives rise to both at the same time. It supplies you labels to attach to reality (via the above equality) but simultaneously takes the reality away from you (via the above inequality). Good deal, right? After all (only) nothing comes for free!

Phenomena are the things which are empty of inherent existence, and inherent existence is that of which phenomena are empty.

Jeffrey Hopkins - Meditations on Emptiness (Page 9)


Recall that at the beginning post we had defined ontology as shared epistemology. One can also go the other way around and define epistemology as shared ontology. What does this mean?

  • To say that some thing exists we need every mind to agree to it.

  • To say that some statement is true we need every body to obey to it.

This is actually how truth is defined in model theory. A statement is deemed true if only if it holds in every possible embodiment.

In this sense, epistemology-ontology duality mirrors mind-body duality. (For a mind, the reality consists of bodies and what is fundamental is existence. For a body, the reality consist of minds and what is fundamental is truth.) For thousands of years, Western philosophy has been trying to break this duality which has popped up in various forms. Today, for instance, physicists are still debating whether “it” arouse from “bit” or “bit” arose from “it”.

Let us now do another exercise. What is the epistemological counterpart of the ontological statement that there are no invariances in physics?

  • Ontology. There is no single thing that every mind agrees to.

  • Epistemology. There is no single statement that every body obeys to.

Sounds outrageous, right? How come there be no statement that is universally true? Truth is absolute in logic, but relative in physics. We are not allowed to make any universal statements in physics, no matter how trivial.

necessity of dualities

All truths lie between two opposite positions. All dramas unfold between two opposing forces. Dualities are both ubiquitous and fundamental. They shape both our mental and physical worlds.

Here are some examples:

Mental

objective | subjective
rational | emotional
conscious | unconscious
reductive | inductive
absolute | relative
positive | negative
good | evil
beautiful | ugly
masculine | feminine


Physical

deterministic | indeterministic
continuous | discrete
actual | potential
necessary | contingent
inside | outside
infinite | finite
global | local
stable | unstable
reversible | irreversible

Notice that even the above split between the two groups itself is an example of duality.

These dualities arise as an epistemological byproduct of the method of analytical inquiry. That is why they are so thoroughly infused into the languages we use to describe the world around us.

Each relatum constitutive of dipolar conceptual pairs is always contextualized by both the other relatum and the relation as a whole, such that neither the relata (the parts) nor the relation (the whole) can be adequately or meaningfully defined apart from their mutual reference. It is impossible, therefore, to conceptualize one principle in a dipolar pair in abstraction from its counterpart principle. Neither principle can be conceived as "more fundamental than," or "wholly derivative of" the other.

Mutually implicative fundamental principles always find their exemplification in both the conceptual and physical features of experience. One cannot, for example, define either positive or negative numbers apart from their mutual implication; nor can one characterize either pole of a magnet without necessary reference to both its counterpart and the two poles in relation - i.e. the magnet itself. Without this double reference, neither the definiendum nor the definiens relative to the definition of either pole can adequately signify its meaning; neither pole can be understood in complete abstraction from the other.

- Epperson & Zafiris - Foundations of Relational Realism (Page 4)


Various lines of Eastern religious and philosophical thinkers intuited how languages can hide underlying unity by artificially superimposing conceptual dualities (the primary of which is the almighty object-subject duality) and posited the nondual wholesomeness of nature several thousand years before the advent of quantum mechanics. (The analytical route to enlightenment is always longer than the intuitive route.)

Western philosophy on the other hand

  • ignored the mutually implicative nature of all dualities and denied the inaccessibility of wholesomeness of nature to analytical inquiry.

  • got fooled by the precision of mathematics which is after all just another language invented by human beings.

  • confused partial control with understanding and engineering success with ontological precision. (Understanding is a binary parameter, meaning that either you understand something or you do not. Control on the other hand is a continuous parameter, meaning that you can have partial control over something.)

As a result Western philosophers mistook representation as reality and tried to confine truth to one end of each dualism in order to create a unity of representation matching the unity of reality.

Side Note: Hegel was an exception. Like Buddha, he too saw dualities as artificial byproducts of analysis, but unlike him, he suggested that one should transcend them via synthesis. In other words, for Buddha unity resided below and for Hegel unity resided above. (Buddha wanted to peel away complexity to its simplest core, while Hegel wanted to embrace complexity in its entirety.) While Buddha stopped theorizing and started meditating instead, Hegel saw the salvation through higher levels of abstraction via alternating chains of analyses and syntheses. (Buddha wanted to turn off cognition altogether, while Hegel wanted to turn up cognition full-blast.) Perhaps at the end of the day they were both preaching the same thing. After all, at the highest level of abstraction, thinking probably halts and emptiness reigns.

It was first the social thinkers who woke up and revolted against the grand narratives built on such discriminative pursuits of unity. There was just way too much politically and ethically at stake for them. The result was an overreaction, replacing unity with multiplicity and considering all points of views as valid. In other words, the pendulum swung the other way and Western philosophy jumped from one state of deep confusion into another. In fact, this time around the situation was even worse since there was an accompanying deep sense of insecurity as well.

The cacophony spread into hard sciences like physics too. Grand narrations got abandoned in favor of instrumental pragmatism. Generations of new physicists got raised as technicians who basically had no clue about the foundations of their disciplines. The most prominent of them could even publicly make an incredibly naive claim such as “something can spontaneously arise from nothing through a quantum fluctuation” and position it as a non-philosophical and non-religious alternative to existing creation myths.

Just to be clear, I am not trying to argue here in favor of Eastern holistic philosophies over Western analytic philosophies. I am just saying that the analytic approach necessitates us to embrace dualities as two-sided entities, including the duality between holistic and analytic approaches.


Politics experienced a similar swing from conservatism (which hailed unity) towards liberalism (which hailed multiplicity). During this transition, all dualities and boundaries got dissolved in the name of more inclusion and equality. The everlasting dynamism (and the subsequent wisdom) of dipolar conceptual pairs (think of magnetic poles) got killed off in favor of an unsustainable burst in the number of ontologies.

Ironically, liberalism resulted in more sameness in the long run. For instance, the traditional assignment of roles and division of tasks between father and mother got replaced by equal parenting principles applied by genderless parents. Of course, upon the dissolution of the gender dipolarity, the number of parents one can have became flexible as well. Having one parent became as natural as having two, three or four. In other words, parenting became a community affair in its truest sense.

 
Duality.png
 

The even greater irony was that liberalism itself forgot that it represented one extreme end of another duality. It was in a sense a self-defeating doctrine that aimed to destroy all discriminative pursuits of unity except for that of itself. (The only way to “resolve” this paradox is to introduce a conceptual hierarchy among dualities where the higher ones can be used to destroy the lower ones, in a fashion that is similar to how mathematicians deal with Russell’s paradox in set theory.)


Of course, at some point the pendulum will swing back to pursuit of unity again. But while we swing back and forth between unity and multiplicity, we keep skipping the only sources of representational truths, namely the dualities themselves. For some reason we are extremely uncomfortable with the fact that the world can only be represented via mutually implicative principles. We find “one” and “infinity” tolerable but “two” arbitrary and therefore abhorring. (Prevalence of “two” in mathematics and “three” in physics was mentioned in a previous blog post.)

I am personally obsessed with “two”. I look out for dualities everywhere and share the interesting finds here on my blog. In fact, I go even further and try to build my entire life on dualities whose two ends mutually enhance each other every time I visit them.

We should not collapse dualities into unities for the sake of satisfying our sense of belonging. We need to counteract this dangerous sociological tendency using our common sense at the individual level. Choosing one side and joining the groupthink is the easy way out. We should instead strive to carve out our identities by consciously sampling from both sides. In other words, when it comes to complex matters, we should embrace the dualities as a whole and not let them split us apart. (Remember, if something works very well, its dual should also work very well. However, if something is true, its dual has to be wrong. This is exactly what separates theory from reality.)

Of course, it is easy to talk about these matters, but who said that pursuit of truth would be easy?

Perhaps there is no pursuit to speak of unless one is pre-committed to choose a side, and swinging back and forth between the two ends of a dualism is the only way nature can maintain its neutrality without sacrificing its dynamicity? (After all, there is no current without a polarity in the first place.)

Perhaps we should just model our logic after reality (like Hegel wanted to) and rather than expect reality to conform to our logic? (In this way we can have our cake and eat it too!)

holy vs profane

I think they destroyed the Latin language as well, the Catholic Church. One comment again from theology: when they translated the texts from Latin or from Vulgar method into vernaculars. Because then, when you do, you try to market our religion as something useful, but before it was something holy, this whole thing.

You notice that the reason the Pope presented, he said that it’s to increase the number of Catholics. In fact, the Church contracted at the time, when compared to Islam, where you have one-and-a-half-billion Muslims praying in a language they don’t understand so visibly.

It’s exactly the same thing, is that its separating the holy and profane. Don’t translate to vernacular the beautiful Latin things. Likewise, do not try to make poetry or literature or history — do not make it practical.

Just make the people study for their own sake, just like you go to church. It’s not for anything practical. You don’t go to church because you’re going to meet an employer. You go to church to go to church. Likewise, we have to separate these two.

- Bryan Caplan and Nassim Nicholas Taleb on What’s Missing in Education

The reason why religion is not a subset of philosophy is because it is primarily concerned with appreciating rather than understanding. A core set of beliefs and attitudes are agreed upon, preserved and supplemented with rituals.

Buddhism's emphasis of experience over text is very spot on in the sense that the subject matter of religion is fundamentally impossible to articulate. (Meditation properly done is experimental metaphysics.) The transcendental can not and should not be put in words which are profane mortal creations and may arise a false feeling of understanding. (It is not a coincidence that songs in languages we do not understand move us more deeply.)

Religious thinking calmly ties all causal chains to a single source. Secular thinking democratizes self-referentiality and then hastily tries to loop each causal chain onto itself.* (That is why secular minds are always so busy.) But once you remove the monolithically centralized node of God, then there is no absolute good or evil any more. (Yes, you are right, this is a reference to Nietzsche.) In other words, you are completely fucked. You need to come up with profane reasons to do anything, including the act of going to church, as Taleb exemplifies above. Moreover, those reasons will inevitably be of the type that can not stand on its own. The insecurity caused by such open-ended trails of thinking will be left for some other time to be dealt with. Like a technical debt, this insecurity will grow until it breaks you down and you find yourself either talking to some stranger claiming mastery over human psyche or bending into arcane positions on a sweaty yoga mat or browsing self-help books in one of those stupid bookstores with a coffee shop inside it. All with the hope you will be able to loop those God damn causal chains back onto themselves.

* Democratization operator has been a defining feature of modernism. For instance, as I mentioned in a previous post, democracy, capitalism and social media democratized respectively power, money and fame.