science vs technology

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

gender inequalities

There are many inequalities between the genders. Males for instance experience greater variation in many traits. Whatever you measure, top and bottom percentiles always end up being male dominated. (e.g. Smartest as well as dumbest people - as measured by IQ - tend to be male.) Nature is taking greater risk with males who - as a population - pay for this greater variance in the form a lower average lifespan. (Generally speaking, in complex systems, there is a correlation between experience of stress and generation of variance.)

Here is another interesting inequality pattern that has got to do with desirability rankings:

Desirability of women is mostly biological and keeps declining. Desirability of men on the other hand is socio-biological and peaks around 45. Whereas reproductivity declines after a certain age, status accumulation has no theoretical limit.

Here are some further observations:

  • Societies compensate the drop in biological desirability by providing a status boost for entering motherhood which is considered as a holy institution in many cultures.

  • No wonder why grooming for women is such a huge industry. Anything that helps to prolong the perception of a biological downfall is appreciated. But what is the corresponding industry for men? It is get-rich-quick schemes, promising to provide quick sociological boosts. Men are much more susceptible to spam emails, gambling of all sorts etc. (Tragically, this susceptibility increases with age. Generally speaking, everyone should be de-risking their financial portfolios as they get older.) Status consciousness for men is like beauty obsession for women.

  • Average marriage age happens to be around the time when the desirability of men is equal to the desirability of women. This is another indirect proof of the generally accepted fact that it is actually women who make the marriage choices. They wait until the last second, making unconscious estimations of the future status trends for their potential husbands. Males often feel duped afterwards, but do not really understand why. At some point some of them quit and return back to the marriage pool with much higher status points. (Of course, making such a return is harder for women. That is probably why they cheat less although they feel an equal amount of temptation.)

  • Majority of germ line mutations come from sperms. (Men go through way too many sperm production cycles in their lifetimes.) In other words, the “quality” of a gene pool gets affected a lot by the older men deciding to have kids late in life. I put the word quality in quotation marks since evolution actually desires to create more variation and try out new things. It is just happens to be easier to do so through the male side. (As pointed out at the beginning of this post, most risk taking is conducted through the males.) Hence, if evolution is any guide, sexiness of older men will keep increasing over time. (Variation wants to increase and will exploit all mechanisms to do so.) Good news for the George Clooney’s of the world.

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

appeal of the outrageous

We should perhaps also add to this list of criteria the response from the famous mathematician John Conway to the question of what makes a great conjecture: “It should be outrageous.” An appealing conjecture is also somewhat ridiculous or fantastic, with unforeseen range and consequences. Ideally it combines components from distant domains that haven’t met before in a single statement, like the surprising ingredients of a signature dish.

Robbert Dijkgraaf - The Subtle Art of the Mathematical Conjecture

We are used to click-bait new with outrageous titles that incite your curiosity. This may look like a one-off ugly phenomenon, but it is not. As consumers of information, we display the same behavior everywhere. This is forcing even scientists to produce counter-intuitive papers with outrageous titles so that they can attract the attention of the press. (No wonder why most published research is false!)

Generally speaking, people do not immediately recognize the importance of an emerging matter. Even in mathematics, you need to induce a shock to spur activity and convince others join you in the exploration of a new idea.

In 1872, Karl Weierstrass astounded the mathematical world by giving an example of a function that is continuous at every point but whose derivative does not exist anywhere. Such a function defied geometric intuition about curves and tangent lines, and consequently spurred much deeper investigations into the concepts of real analysis.

Robert G. Bartle &‎ Donald R. Sherbert - Introduction to Real Analysis (Page 163)

Similar to the above example, differential topology became a subject on its own and attracted a lot of attention only after John Milnor shocked the world by showing that 7 dimensional sphere admits exactly 28 different oriented diffeomorphism classes of differentiable structures. (Why 28, right? It actually marks the beginning of one of the most amazing number sequences in mathematics.)

where extremes meet

Here are five examples where extremes meet and result in sameness despite the diametrically opposed states of mind.

Happiness

Pathologically happy ones do not worry because they do not realize that there is anything worth worrying about. Severely depressed ones do not give a shit about anything neither, but theirs is a wise apathy that knows itself.


Knowledge

Knowledge has two extremes which meet; one is the pure natural ignorance of every man at birth, the other is the extreme reached by great minds who run through the whole range of human knowledge, only to find that they know nothing and come back to the same ignorance from which they set out, but it is a wise ignorance which knows itself.

- Blaise Pascal

Reality

That Nirvana and Samsara are one is a fact about the nature of the universe; but it is a fact which cannot be fully realized or directly experienced, except by souls far advanced in spirituality.

Aldous Huxley - The Perennial Philosophy (Page 70)

Empathy

One study found that the most empathetic nurses were most likely to avoid dying patients early in their training, before they had learned to deal with the distress caused by empathizing too much. Overempathy can look from the outside like selfishness - and even produce selfish behavior.

Bruce D. Perry - Born for Love (Page 44)

Sense of Heat

The human sense of hot or cold exhibits the queer feature of ‘les extremes se touchent’: if we inadvertently touch a very cold object, we may for a moment believe that it is hot and has burnt our fingers.

Erwin Schrödinger - Mind and Matter (Page 158)

charisma and meaning as rapid expansions

Charisma is geometric phenomenon, generated via a rapid spatiotemporal expansion of the self within the physical space.

Next time you enter that Japanese restaurant enter the place as if you own it and eat that edamame like you have been eating it for the last one hundred years.


Meaning is a topological phenomenon, generated via a rapid spatiotemporal expansion of the self within the social graph.

The crusader's life gains purpose by suborning his heart and soul to a cause greater than himself; the traditionalist finds the transcendent by linking her life to traditions whose reach extend far past herself.

Tanner Greer - Questing for Transcendence

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

connectivity and cultural diversity

Intergenerational cultural meme transfer mechanisms have all broken down. Instead of asking our own grand parents about their child rearing practices, we all go to the same search engine and click on the same links. We all watch the same movies, read the same books. Greater connectivity has brought us lesser diversity. We seem to be heading towards a single monoculture as social trends propagate at the speed of light through the fiber optic cables.

Why should we worry? Just scroll back in time and look at the rise and fall of civilizations. Why have certain cultures prevailed during certain periods? When brute force worked, the brute won. When ideas became important, the cerebral won. There are of course many reasons why developing countries have hard time catching up, but one important aspect is cultural. Some cultures are just not meant to be successful in today’s environment and this is normal. (Inspect those countries that did indeed catch up, you will find cultural discontinuity, widespread debasement and confusion of values.)

Tomorrow conditions will change. We need to maintain diversity to be able to cope with those upcoming changes which we can not fathom today.

Postmodernists are right in the sense that no culture is superior to another in an absolute sense. However, this does not mean that all cultures are equal. Relative to a certain context or problem, we can objectively talk about some cultures being fitter than others. (Remove the context, any comparison becomes impossible.)

Note that, when one culture assimilates another, it selfishly hedges itself against the future possibility of losing the evolutionary upper hand. In other words, it prolongs its own survival at the expense of decreasing the adaptivity of the whole.

truth as status quo

We now have the science that argues how you're supposed to go about building something that doesn't have these echo chamber problems, these fads and madnesses. We're beginning to experiment with that as a way of curing some of the ills that we see in society today. Open data from all sources, and this notion of having a fair representation of the things that people are actually choosing, in this curated mathematical framework that we know stamps out echoes and fake news.

The Human Strategy

Fads and echo chambers provide the means to break positive feedback loops (by helping us counter them with virtual positive feedback loops) and get out of bad equilibriums (by helping us cross the critical thresholds necessary to initiate change). Preventing illusion is akin to preventing progress. Every new truth starts with untruth. Future will be in conflict with today. Today’s new reality is yesterday’s false belief.

It is startling to realize how much unbelief is necessary to make belief possible.

Eric Hoffer - The True Believer (Page 79)

We are constructors of our social world as well as receivers.That is why companies like Facebook should never be involved in this war against “fake news”. Truth is inherently political. Algorithms for sniffing it out will inevitably end up defending the status quo.