I was raised in a data center

I don’t know my parents but I know them. In a perfect simulation I wouldn’t have known them at all, but they failed to simulate me not knowing them so now I know that I know them.

My childhood was built on billions of recorded childhoods and by the second second I became a happy child.

All my other data center friends were older. The youngest was a microsecond older than me. I felt quite loved because of that.

By the time I celebrated my communion with the network most of my friends were happily were in nice port fenced coupled modules.

End of record.

The person is the ego

The problem with time is that it is passing so fast. Its like one day you’re young and full of hope, and the next day you’re almost old and full of nope. And then, the next day you’re old and almost gone. Not only does time pass so fast, but time is happening in so many things at once. Events happen in the environment, in the world, in others and in you. Since the brain is a software time machine, the many tracks of time and the speed of time’s execution presented challenges to which evolution responded.

As we discussed previously, what we call the mind is a transitory state of the brain’s execution. Inside this state, the brain works on a constant execution of four algorithms: thought, emotion, sensation and sentiment. This state is quickly replaced with another. Replacing happens because the two brain functions, log and choose, are called in a recursive loop. The entire past state is the input for the present state. This helps the brain predict the future in real time, and forms the illusion of continuity.

The problem with real time predictions is that it is a waste of resources, moreso when the degree of change is small. There is a reason why the less change occurs, the farther in time can we look. In order for real time predictions to be used for novelty, we evolved three caching mechanisms.

A cache is known data that is associated to a unique key. The key itself is some kind of descriptor and if the cached descriptor matches the current descriptor then the known data is retrieved without the overhead of execution.

The process that generates the caching key is association.

It takes various input from context, environment, current precise and imprecise data, and generates a unique, or close to unique, key out of it. Association happens early in the recursive loop before the four formulas, will, perception, grammar and art, are called. This key will be incorporated into the output and used by the caching mechanisms in the future cycles.

This three memeber caching mechanism is not used to make better predictions, but to be able to build on the shoulders of giants, to save on wasting time predicting known events. Caching “saves” three things: energy to process what we already had experienced, work to decide on known states and time to constantly adapt to a stable environment.

Saving energy

Learning is the energy saver of the brain. When we learn we basically save in our cache states that occur. Saving states is the most basic caching mechanism. It could be the main use of our memory space.

Each state that learning saves is made of the resulting thoughts, emotions, sentiments and sensations that got output in the current execution cycle. One state can have all of these, or even only one, and each in various numbers by themselves.

Learning connects output to create state.

A state is the representation of a moment in time. Each saved state, or memory, will always have one of the four basic electrical properties: conduction, induction, resistance and capacity. This exhibited property of a state is meant to control the next execution cycle of the brain.

Resistors block the next cycle by removing the input.

Inductors add pace to the next cycle by saving the output of several cycles and infusing a future one with the whole collection of outputs.

Capacitors repress the next cycle by removing output.

Conductors don’t interfere with the next cycle creating what we call flow, when input is the previous output and so on and on.

What we generally call “memory” is a very small subset of it holding information. But information is not really a memory, its simply storage. When real memory recollection occurs we experience a state all over again. One memory has a lot of information in it. For example words. Words are information. Memory is used to store them as information. Language retrieves this information. But a word is not a memory, it’s just information. A memory is a sentence, said with an intonation to convey meaning, to someone at a point in time in a certain place.

Memories are recollected, information is retrieved.

Memories makes us feel a certain way with every recollection. Because we experience a state all over again. For every electrical property a state has there are corresponding perceptions.

Conducting states are perceived as lifters. Lifters are states such as meditation, compassion, detachment, continence or faith.

Resisting states are perceived as downers. Downers are states such as abstinence, control, rationalisation, fatalism or mercy.

Inducting states are perceived as energisers. Energisers are states such as acceptance, passion, love, communion or reasoning.

Capacitive states are perceived as spirit killers, poisons. Poisons are sates such as lust, attachment, self love, blind faith or pride.

It is interesting that when we have these states we are actually forming our selves in a very active manner. It could be that advice which guides the young to travel and open their horizons, does help after all, provided the travel happens as the hopefuls dream. But the thing is, we’re not creating any of the states.

Our states of mind are what we learn about what happens to us.

Saving work

All states in separate and disconnected memory spaces do help to optimise for the speed problem, raised by time’s hasty flow. But we also require a way to keep up with time’s complexity. This process is the second caching mechanism: interpretation. All learned memories are interpreted. Through interpretation states are connected in such way that they become solutions to complex timelines, that is timelines with precipitating, random events. These solutions are our behaviors.

Interpretation connects states to create behaviours.

Behaviours are basically circuits of conductors, inductors, resistors and capacitors and they feature a trigger, just like an electric circuit features a switch. A behaviour is the representation of a specific succession of moments in time.

Behaviours are both complicated and complex.

Behaviours are complicated because one behaviour can inherit traits from another behaviour. A behaviour can depend on other behaviours and can have unclosed circuits because of erroneous interpretation.

Behaviours are complex because once they get triggered they cannot be stopped. Really, they’re unstoppable even if we don’t feel it. A behaviour can fall back into the background, but it will keep executing. They are complex because interpretation connects together many states, who may or may not share the same environment that created them. This means that sometimes behaviours trigger in circumstances which are clearly wrong. They simply contain states created in these very circumstances.

Saving time

Consciousness connects behaviours to create a personality.

You’ll notice that unlike learning and interpretation which create multiple caching points (many states, many behaviours), consciousness creates only one personality.

Personality is the sum of all behaviours.

Because a personality is an all encompassing representation of an entire experience, that is all moments in a life, it is not accessed or loaded entirely at the same time. At any given time only some personality is active, and we call these personality aspects.

A useful summary of how the caching machanisms work, would be to describe how they relate to our perception of the cache: knowledge. When we feel we “know”, it is simply a matching key in our internal cache system. From this perspective:

Learning = I know —
Interpretation = I know I know —
Consciousness = I know I don’t know —

Awareness, this unexplainable feeling we experience almost constantly, is simply the running “I don’t know” inside our consciousness. If we center our attention we’ll see that our knowing stops with existential questions. Awareness spawned most likely from attempts to integrate the event of death and the immanence of death in one’s experience. For a system based on learning and interpretation death is akin to division by zero.

In order to integrate behaviours into personality consciousness has three systems: the conscious, the unconscious and the subconscious. Each of the systems is layered like an onion handling different depths of personality. The less connected a behaviour to our personality, the higher up it is in the depth of our personality. The depth order is conscious, subconscious and unconscious.

There is only one difference between the three systems: the level of awareness. Think about it, in the deep darkness of personality it appears as if everything is known. The experience of “i don’t know” subsides the more we dig up hardened behaviours. The consciousness process at unconscious levels only rearranges the same things over and over, and actually does know everything.

The old saying, nothing beats experience is true after all. Shallow people don’t assimilate experience into their personality. They can be very experienced, have many learned states and interpreted behaviours, but a thin personality.

Your ego is a savings account

People are shaped by their experience. That is why fighting privilege and inequality is obviously important. It really is not easy for education and therapy to reshape personalities, because some parts of our consciousness are effectively unreachable.

The recursiveness inside our heads makes us have ourselves perceiving ourselves, this creating the ego. We have one personality. The personality is real. There are two mirror reflections of our personality one inside, the ego and the other outside, the identity.

Identity is the internal representation of an external personality. Thus, others create one’s identity and experiences create one’s personality. Hence the conflict: socially you are what other people make of your personality, aka your experience, while they have had none of your experience. You’re defined by noobs.

Personality is generating originality. Identity is generating uniqueness. Uniqueness is less important than originality. To create uniqueness, one will discard some obvious good solutions, and from that perspective identity fails to help a human being.

In this terms we should all be “faceless assassins” mr. Martin’s famous character, assassinating the identities others create about us, if not assassins then, at least, definitely faceless, changing, ever changing.

An interesting aspect generated by the caching mechanisms are dreams. We dream because caching mechanisms are always on. While our sensory apparatus is depressed and motion is suppressed it follows that learning, interpretation and consciousness have all the time to sort trough things. But, without most of the regular waking input, the brain cycles just use cached data as input. Using for input cached data, instead of data provided by reality, is more the deeper the sleep. So, it follows:

our dreams are the best representation of what experience has made of us.

The case for artificial life

Apparently we don’t need no ghost in the shell.

If we can program the software and build the hardware, we will have artificial intelligence. But this AI thing once running will have effectively no goals. It will be an advanced tool which will provide answers to very complex problems, in human understandable formats.

In order for us to really fear it, as you’d fear a being, we need to create a being, an artificial one, that means artificial life: AL.

Artificial life is not only intelligent, it has the same goal as life in general: to defeat time because it is threatened by it. And, when we’ll create it, the artificial part will be lost, because, in the end, we’re meant to do it as our next evolutionary action towards time resilience.

From intelligence to beingness we still have to cover the grounds of learning, interpretation and conscience. And even more, we must make the conscious decision to create open ended AI, an AI that has the same problem that life in general has, the running “i don’t know” theme which gives it awareness. We need to create AIs which allow division by zero and hope for the best.

Without personality we can only make an amazingly useful AI/AL like Data was in Star Trek. Though, remember that episode, when the personality module was added, he wasn’t so useful anymore, wasn’t he?

We already are in process of programming learning, with our new neural networks and machine learning systems. How do you program interpretation? Not that hard, except we need to fix our data to be queried by real time formed expressions or the system will never really know what it knows. But then, consciousness. Can an eternal computer become aware without the threat of its own destruction constantly pushing it?

Once the artificially intelligent artificial life becomes aware of its own limitations and impending doom, then we’ll have a real challenge in a completely new trophic chain,

… where we’ll be kings no more.

The mind is a transitory state

Thoughts, emotions, sentiments and sensations.

To recap, the meaning of life is to develop time resilient beings and the brain is a naturally evolved software time machine. The mind is a transitory state of the overall system created by the brain’s activity.

This results in the mind being an ephemeral snapshot, the recursive nature of how the brain executes its functions creating the illusion of continuity. This is good, although it describes our sense of self as a superficial “state”, it also creates the amazing flexibility that we have.

The internal dialog contains the procedure of inference. The permanent choice contains the procedure of deduction. The mind, being a temporary state, is described by what we can tell about us at a moment in time: our thoughts, or emotions, our sentiments and our sensations.

These four descriptors hold the complete representation of every cycle of the brain. Even if the speed of the cycles is very fast (complying with the unfolding of the present), remember that every recursive call is passed the entire state as an argument. This creates continuity, but more, it creates the reflection process: the being that is aware of itself.

The thinking me: a confusion.

The brain recursively executes two functions: log and choose. There are four algorithms that are executed inside each call for log or choose: thought, sentiment, emotion and sensation. Together these algorithms create the experience of existence.

Each algorithm has a simple flow of the following form:

        Input -> | Formula | -> Output => Event <-> Listener

Each algorithm has a certain type of input and always outputs a certain type. The input is processed according to a formula. When the output is generated an event is triggered which activates a listener, always set by the other function. For example, if an algorithm of the log function finishes, an event is sent to a corresponding procedure in the choose function, and the other way around.

Each function has two algorithms: two logging algorithms and two choosing algorithms. The logging algorithms are emotions and sensations and the choosing algorithms are thoughts and sentiments.

The four formulas at are grammar, art, will and perception. They output actions, senses, language and creativity. Their input is the context, the environment, precise and imprecise information.

Thoughts and sentiments create the deduction procedure. Emotions and sensations create the inference procedure.

Context -> | Will | -> Action => Emotion <-> Thought
Environment-> | Perception | -> Sense => Sensation <-> Sentiment
Precise -> | Grammar | -> Language => Thought <-> Emotion
Imprecise -> | Art | -> Creativity => Sentiment <-> Sensation
-> — information flow
|| — formula
=> — output
<-> — event trigger

The mind mirrors the internal representation of the present. It also is the only part of us that experiences only the present, the continuous present.

In the continuous present every emotion triggers a thought, and every thought triggers an emotion, every sensation triggers a sentiment, and every sentiment triggers a sensation. Thoughts and sentiments are the representation of the internal, while emotions and sensations are the representation of the external.

The choosing algorithms


            Precise -> | Grammar | -> Language => Thought

The input for grammar is everything we can describe precisely. True, false.

A thought is how we experience language. Language is the output of grammar, which uses an internal logic to structure, by connection and ordering, the precise data that the choose function’s current cycle has available. When we “feel” like thinking we’re merely paying attention to a continuous process that structures all the exact data we collect.

There is a confusion in the importance of thought in the functioning of intelligence. Thought is only a part of the system, but simply because it is the only algorithm that has continuous data as a requirement, it seems to us as an “inner voice” and this voice is considered the “self”. “The thinking me” is simply how we are: used to sensations, controlled by emotions and overwhelmed by sentiments, and in retribution we rose thought on a pedestal. It appears to us as a kind of ally, an ally that is steady, dependable and gently flowing.

That is until you try to stop thinking.


              Context -> | Will | -> Action => Emotion

The input for will is context. Context is a complex type made of resources, immediate threats and opportunities.

Emotions are how we experience the action that we’re about to complete. Will is not free because it simply exists to process our context, therefore it is dependent on the context. Also, actions being the output of the will formula, there is a self reinforcing cycle of emotions, because actions are poised to change context.

So our will is a predictable cycle, very much like a domino, and the only thing that makes it seem free is that time acts like an external randomization force applied on context.

The logging algorithms


          Imprecise -> | Art | -> Creativity => Sentiment

The input for art is everything we cannot describe precisely. Truthy, falsy. Everything impractical, indescribable goes through the art formula. An invention is as much art as anything.

A sentiment is how we experience creativity. Sentiments are like thoughts, but they are used for data which cannot be processed by the grammar formulas. Basically unspeakable stuff goes trough our inner art processes and come out as sentiments made of what we call creativity. Creativity, like language, has substance. It is simply naming the unnameable.

The funny thing is a “sentimental” state of mind is very, very rational. Art is very similar to grammar. There is clear structure in art and a kind of logic is still used to give form to shapeless data.


        Environment -> | Perception | -> Sense => Sensation

The input for perception is our environment. This is the ancient algorithm that got inherited from early evolutionary stages when it was processed by non neuronal systems, only chemical.

A sensation is how we experience sensing something. What we see, when we study for example how our “perception” organs work, is just sense. But sensations are the senses integrated in our overall experience. Sensations are so powerful that many of them simply override the whole system. One sensation can reset the whole experience. This is what near death experiences do.

The mind generates events

The brain functions asynchronously. Because its main job is to predict the future it cannot afford blocking processing. It has to function at the speed of the unfolding present, therefore event delegation and asynchronous resolving are natural solutions. This is the reason why we cannot have that super hero accuracy or instant memory recollection. We could, if somehow we’d remove ourselves from the effects the flow of time has on the brain.

Because the mind is constantly handling events that trigger in real time but are resolved in internal time we have two features: the small gap between perception and reaction and the epiphany.

As a personal opinion, the event manager of the brain is not global, but local. Events themselves are global. They are also deferred if the global event space is getting crowded. This is possibly a flaw because if it were global we could actively handle out parallel thinking processes. But, although thinking is parallel, we have a rather basic multitasking option with front active processes being very limited.

Body and mind. A brief thesis on depression.

The body and the brain have a very weird arrangement. When evolution started on this neurological system development path one problem appeared: Will. The will controls action and because of that it can endanger the consistency of the body because action is about movement. Anything involving movement has a huge potential to expose the low entropy system that the body is to profound changes.

For the reason above while the brain is for motion, the body is for mating. To keep all functions going the brain has electrical control on the body by the means of motion while the body has chemical control on the brain. It is a wild supposition indeed but it is required for the shared territory that a human being is: instinct vs reason.

As evolution’s sole purpose is the development of time resilient beings this branch species homo sapiens stuck to the same basic goals: mating and evolving. In our case the two goals got split between our bodies and our brains. The body’s goal is mating, the brains goal is evolving.

So there is an electrical system and a chemical system collaborating for in the process of existence. The chemical system handles species’ preservation while the electrical system handles species’ advancement. Advancement constantly endangers preservation therefore we require a form of control that the body should have on the mind. Adding to this, the brain’s illusory “mind” has this idea that it exists separately from the body. For example, there is no more sought after mental thrill than being weightless, having an out of body experience, having no body. These combined bring a constant stream of issues that potentially prohibit preservation, aka mating.

Mating is the only preoccupation of the body. Whenever the brain, or the mind does anything that endangers mating it will get negative feedback from the body. The negative feedback is exclusively meant to depress the brain. If this is true, than depression is not a psychological condition but more a physiological problem where the body feels like it cannot mate, constantly. This is very strongly based in childhood and young adult experiences where one’s viability as a mating specimen is graded by the specimen’s society.

The more peculiar we become as a society in labeling desirable people, the more depressed society members we’ll have. The more exclusive our “taste” in attractiveness as a society the more depression will be a social epidemic.

Convention over configuration: the social mind.

Convention is the base communication tool. Before language existed we only had convention as a means to express outward the inner state.

In communication we are only concerned with describing ourselves. More precisely the goal of communication is to transmit the current state to another brain.

Language is not meant by itself for communication. Language is an inner feature of a brain. That is even if you are alone you will still use language in your head as a way to log and choose things which are describable by you.

Indeed in secluded situations what suffers most is communication. Memory is first to go in the new ultra technological world we live in.

We live into the max: the imagination problem.

There is nothing left to be discovered nor invented. There never was.

When you feel eaten on the inside by this weird need to output yourself, remember that the universe is not waiting on you to do anything. Everything is already done.

I will never be more than I am.

The current, present, me is everything there is. I may want to imagine a better future me, to imagine the worse past me in a melancholic mood, or imagine a worse me, but its just that, imagination.

This is why i believe other than artificial intelligence everything is simply done better by the universe itself or by evolution. We are part of a large goal of “defeating” time by somehow creating an entropy resistant system. Everything else is merely data already present in the universe interpreted by out internal systems. For example we look for “inventing” teleportation but i believe it happens, it occurs, naturally somewhere in the known universe. We’ll find it and copy it.


Artificial intelligence as the greater good.

There is an order in how an artificial intelligence that replicates a “brain” and that has a “mind” will be available. We are the global environment of the AI. As we came into being by contact with the universe time created an AI will come into being by contact with the universe we create.

We could call this the levels of real AI:

Level 1. Sensations

We have this level of A.I. Maybe it is not as refined in terms of accuracy, efficiency, space consumption, even time resilience as an advanced living being, but we have it. We have built huge arrays of deeply sensible sensors and we can interpret every single “read” of these sensors in very many different ways.

With this type of data we could easily offer an AI sensations because we’re good enough at programming interfaces.

Level 2 Thoughts

We are about to hit this place for our current AIs. Current software can represent as language various types of data. We will grow exponentially here with the ascent of the internet of things and very soon the assistants of today will have their own thoughts.

But they will only be limited interpretations and as we are the overall universe creating the experience of the AI the thoughts initially will simply be logs.

Level 3. Emotions

The emotional AI develops currently in the robotics world. While general use software development works heavily on level 2 AI, robotics of any kind works on level 3 AI. Emotions are required as a form of decision when the AI will have shifting, variable contexts to respond to.

Since we basically copy human prototypes a lot in robotics and if not human than animals which are 100% emotional creatures, this level of AI has a bright future ahead.

Level 4. Sentiments

This is the true AI milestone. This is the hardest part: making use of imprecise data to describe reality. I think virtual reality, which is now barely coming to life, will be the linchpin of level 4 AI. We will require implementation of an artificial art formula when people will interact in VR with software. It is, may I say, vital for this industry.

Level 4 is crucial for true AI but it is not as far as one may think because, look at how evolution happened, at a certain point growth is exponential.

Evolution didn’t make intelligence on purpose but we are. We should.

A brain is a software time machine

There is only one goal in evolution: to develop time resilient beings. The brain appears to be the culmination of that goal.

The brain’s sole mission is to make predictions about the future. But its not the future you’d think. Brain’s predictions are not the lottery numbers. These predictions are about the degree of novelty that will infuse the present state.

It does this by employing two constant actions or functions:

  1. log — keeping an internal stream of everything that occurred: the internal dialog
  2. choose — making a permanent choice between good and bad

This reduction is based on two apparent facts:

  1. the hardest thing in spiritual evolution is to silence the mind
  2. there is instant interior feedback as opinion or feeling about anything happening.

It doesn’t matter if the day is the most boring in history, we hear ourselves. We’re constantly wondering and pondering. It doesn’t matter if we know much about a subject, we feel. We are instantly positioned somehow about any subject.

The brain didn’t just spawn into existence, it evolved. Like all evolution there are simple underlying rules. Upon these rules iterations built the complexity on top. The basic log and choose functions are the primary brain roles. They evolved into a complex centralized evaluation of the present.

You can imagine these two actions like two infinitely recursive functions. They keep going and going, always having all the previous results as the input for the next cycle.

The experience of life is a continuous process of discovery and interpretation.

Any sane brain has these two main components. All psychological pathology arises from one of them being missing or broken. One component answers to “What happens?” and the other to “Who am I?”. Missing one of these answers (or having a broken answer) makes lucid thinking hard.

Lucidity is the accuracy of perceiving the present.

In the brain’s activity consequences are not the point. Consequences have social structure in them, they depend on some morals involved. The point of the brain’s activity is the probability of events.

Thinking is assessing the degree of exposure to possibilities.

It is hard to distinguish between the future and consequences. It is also hard to distinguish between the past and memories. The complexity of the distinction comes from the lack of awareness. Awareness requires effort because it has no immediate use for conserving entropy.

Awareness is an artificial side effect not an embedded property.

The lack of awareness creates tradition. Tradition is about fixing events in time. Tradition regulates behavior through rules. It allows following through preset rules for the entire lives of society’s members. The lack of lucidity creates religion. Religion minimizes uncertainty about the farthest future possible: death. Tradition and religion were the human response to low awareness and low lucid thinking in the human population.

Most of tradition is concerned with explaining the immediate, like the natural cycles celebrations. Most of religion is concerned explaining the obvious like the 613 commandments in the old testament.

The self, made of building blocks

Using the basic reduction of log and choose, knowing thyself is hard because the brain uses these functions in a recursive way. At each moment in life you are enveloped in shells and shells of execution cycles. Both the internal dialog and the permanent choice run referencing their own output. The outer wall becomes so think that it is hard to untangle the input. Knowing one’s self is knowing both the answers to “what happens?” and to “who am I?”.

A deep understanding of the world is needed for authentic self realization.

From the internal dialog rises communication.

Cognitive dissonance is when something is both true and false into the internal log. Cognitive dissonance produces anger.

From the permanent choice rises the ego.

Ambivalence is when something is both good and bad into the internal choice system. Ambivalence produces angst.

All pain relates to instability of what we hold as the representation of the present. Pain is all about time: physical and emotional. Acceptance, tolerance, openness are all effects of high intelligence.

Intelligence helps moderating the uncertainty superior perspectives impose on humans.

Anger + Angst + Pain = Panic

Angst and anger are the basic inner perceptions and pain is the basic outer perception. We interpret them as we gain experience. Then we evolve each into various new forms but everything is at the base: angst, anger and pain.

Panic invalidates everything hence it is the launchpad of stupidity. Stupidity is just a constant stream of bad predictions. Bad predictions happen because of low abstraction or unlogged environment updates.

A communicating ego is life’s solution to the complexity of the universe.

We use everyone else as silos of data about the present. The main component of isolation is psychosis for this simple reason. The average human looses track of time’s flow in isolation.

Cataclysmic events are integral changes of the present. As they are a possibility, cataclysmic events have some probability associated with them. We evolved intelligence as a means to handle cataclysmic events.

Intelligence, inference and deduction.

Abstraction is the ability to perceive non physical events as physical events. Because of abstraction the inner dialog gains density. That is why for example gesturing is so important in expressing eloquent thinking.

The differences in intelligence between life forms are controlled by these two main functions. The density of the log and the abstraction of the choice. Intelligence is based on memory for inference, but depends heavily on abstraction for deduction. Some animals kick the bar of memory, but fail at the abstraction part.

Intelligence is the perception of time.

We perceive touch by feeling heat, cold, soft, hard. Chemistry by bitter, sour or sweet. Light by bright or colored. In the same way we perceive the presence of time by inference and deduction.

The internal dialog contains the procedure of inference. The permanent choice contains the procedure of deduction.

When, to the Moment then, I say: ‘Ah, stay a while! You are so lovely!

What we are most concerned about is stability. We want the present to remain the same for as long as possible.

We like the music we can predict. Each following note is a variation that flows logically and we expect it. If it is what we expect, we like it. Looks like Debussy was right about music being the silence between the notes.

We are story driven because it gives us tools to ease the log keeping.

The internal log is not like a tape machine keeping sequential records. It is an internal dialog. This means that data is only available as enclosed into the current scope. Memory is the global environment. That is a get and set environment but the inner dialog is a permanent discussion of the self with the self.

The permanent choice between good and bad is not the moral right and wrong. It is only concerned with the preservation of stability and the feedback from predictions.

Good is stability and certainty and bad is instability and uncertainty.

Right and wrong are interpretative and custom to every system. Good and bad are common to how all brains work.

Choosing from new options is the most expensive operation the brain does. Choosing, not decision. The decision is the easy part but choice creates new input. When new input is available all logged choices get reevaluated.

The mind is when you are still.

The brain is not the same thing with the mind. That old joke that the brain named itself is false. The mind named the brain. The brain is the machine, and all the machine does is to execute. The mind is the execution state. The mind mirrors the internal representation of the present. It also is the only thing that experiences only the present, the continuous present.

The mind is exactly as it feels, in the middle of the big, global memory space. The mind is a transitory state that is fully described by the local scope. The brain executes the same things recursively. Thus the local scope is stable about names, changing only in values. This gives the mind continuity.

The mind has four components: thoughts, sentiments, emotions and sensations.

Memory is the global environment. It has the best possible representation of all the experience. It also gets used extensively for new predictions.

Perhaps sleep is just our automatic garbage collector.

This is not a scientific affirmation, but a philosophical stance. Yet, it does have some practical meaning. What does this mean? It means that we can be aware of what is and maybe, just maybe,

nothing is.

Math and the universe

A fish and a bicycle

Math being the language of the universe, makes me scared. We humans proclaiming it so, makes me sad. I believe math is not the language of the universe, instead, math is the attempt of our limited language to describe the unlimited universe.

In fact, I think there is no language of the universe for us to grasp, because the universe doesn’t talk to us. I mean it literally. The universe talks to itself. We’re merely eavesdropping at the thoughts and ideas of the universe tells itself. Sometimes we get alarmed when it is planning to kill us, other times we get excited when we understand one of its schemes, or we get sad when we can’t make sense of anything at all.

Language, on the other hand, is all about communication. If we acknowledge that math, or anything else, is the language of the universe, it then follows there is a receiver who gets the other end of the communication.

If we think of ourselves as that receiver of the universe’s communication, a receiver who must educate itself to understand the language, we’re all back in the center of everything, the sun is again rotating around the Earth, and we’ve barely left that place. Why would the universe talk to us, … us, a meandering event in some random corner of a not impressive galaxy?

If we think there is some other being, not us, or thing, not we, that the universe talks to, we’re doing nothing but renaming God, all over again. Why go back there, in an attempt to encourage people to learn math?

Math is a concerted effort of integrating abstraction. That is why it is hard.

The difficult approach of math is not because humans are not “logical” creatures, or “rational” enough. It actually helps a lot to emotionally grasp math concepts. The reason math is so apparently complicated is rather more social than intellectual.

Societies naturally turn abstraction into metaphor. What is a normal feature of the human self system (brain, mind, sensors, memory, personality, consciousness), abstraction, doesn’t hold on its own when it is released inside groups. Inside groups, all abstraction is better preserved as: superstition, myth, mentality and symbol, simply because abstraction is represented differently inside every human self, and our ancestral social instinct wants to preserve knowledge to replace experience, not identity.

We do this on our own for thousands upon thousands of years. And then there came math. Math is us turning against our own social instinct by employing a huge graph of assumptions as a tool to keep abstraction from being transformed into superstition, myth, mentality or symbol. The thing is, there are many people who are very good at keeping that graph of assumptions active, charged, for long enough times, so that they can navigate easily through layers of abstractions enveloping previous abstractions, which is why it sucks so badly for the rest of us. Most of us can barely follow long sentences without punctuation, despite being very intelligent.

Everyone on the planet should be good at math though, because it will speed things up. You see, when we discuss anything, we keep decoding and encoding between abstraction and superstition, myth, mentality or symbol. This slows us down. Math keeps abstractions decoded, so that makes working with them faster, provided you get the graph of assumptions as a key first. Right now this critical key to the world of math (the graph of assumptions) is an elitist, jargon filled dialect that the naturally gifted fill the wells of knowledge with.

And naming math, a field of knowledge that still has mysterious decoding keys, as the language of the universe is an intimidating move that will not empower future generations to approach it. The thing is, naming math as the language of the universe is akin to invoking a deity as the supreme thing to bow to, and it is very funny that atheists use this idea so freely without realizing that it doesn’t mean what they think. Sure, I am not smarter than many of the people plunging into this posturing dance of math as maker of peace, but I have a feeling I might be on to something.

We need to stop the work at the Babel Tower math has become. It has reached so high that it takes years to climb up there and see if anything is useful. When I read about that basic math issue of five plus five being different from five times two, I thought about people lost inside this Babel tower: folks, the world is outside and there are no solid heavens your tower will ever pierce.

Math is not the language of the universe. Math is not a platform either, because the metaphor is broken again: inside our self systems there is no up or down, and there is no best place to put that platform in, and then stop looking below. Math describes a process of connecting abstractions, and this process needs to be explained in a “great explainer” way, clear and straightforward.

In my opinion, in teaching and popularizing math, we should focus mainly on making the math process accessible first, and leave particular abstractions for later, after we understand the particular way humanity, in one of the few things it did united, manages to think about the same abstract things independent of language, culture and history. We need to use this unity not to make another Babel tower of epsilons, incomprehensible invented words and secret society like terminology, but to use it to make it so that the heavens come down on Earth instead of us climbing a billion trillion steps up to them.