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Finding out the complexity of complexity is a really complex problem😀

Fortunately, the things that we think are really complex to compute don't know (or care about) how complex they are.

>"Complexity theorists are confronting their most puzzling problem yet: complexity theory itself"

quantamagazine.org/complexity-

Same source:

>Self-organizing systems are characterized by their intrinsic, nonlinear operators, (i.e., the properties of their constituent elements, macromolecules, spores of the slime mold, bees, etc.), which generate macroscopically (meta-) stable patterns maintained by the perpetual flux of their constituents. A special case of is . It is that organization which is its own Eigen-state: *the outcome of the productive interactions of the components of the system are those very components*. It is the organization of the , and, at the same time, the organization of .

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>The of invoking the notion of "purpose" is to emphasize the irrelevance of the traced by such a system en route from an arbitrary initial to its . In a synthesized system whose inner workings are known, this irrelevance has no significance. This irrelevance becomes highly significant, however when the analytic problem, the machine identification problem, cannot be solved, because, for instance, it is ***trans-computational*** in the sense that with known algorithms the number of elementary computations exceeds the age of the universe expressed in nanoseconds.

From 's definition of CYBERNETICS in the *Encyclopedia of Artificial Intelligence*, Wiley, 1987, as presented in:

apps.dtic.mil/sti/tr/pdf/ADA17

>At the heart of -ism is a techno-utopian vision of the future in which we become a new species of “enhanced” posthumans, colonize space, subjugate nature, plunder the cosmos for its vast resources and build giant computers floating in space to run virtual-reality simulations in which trillions and trillions of “happy” digital beings live. The ultimate aim is to maximize the total amount of “value” in the universe.

truthdig.com/articles/before-i

> is a computer program written in 1956 by Allen Newell, Herbert A. Simon, and Cliff Shaw. It was the first program deliberately engineered to perform automated reasoning, and has been described as ***the first artificial intelligence program***.
Logic Theorist proved 38 of the first 52 theorems in chapter two of Whitehead and Russell's *Principia Mathematica*, and found new and shorter proofs for some of them.

en.wikipedia.org/wiki/Logic_Th

>“Living in the world we live in, in which Elon runs this company and it is a private business under his control, we are living off his good graces,” a Pentagon official told me. “That sucks.”
newyorker.com/magazine/2023/08

@antlerboy

I was looking for more info on "Cyberfolk" and found this interesting article from Morozov in which parts sounds to me as if they came straight out of Orwell's "1984"😀, with the "algedonic meter" dial in every household and all that.

As I suspected "Cyberfolk" was just "window dressing" as Beer had no idea how to implement "workers' participation" in Cybersyn, so instead of starting from the bottom and solving problems where "the rubber hits the road" by increasing popular involvement, they all concentrated on the "easy" development of the Ops Room for top bureaucrats.

As Morozov points out in his article "Project Cybersyn could at least provide graphic designers with full employment" 😀

newyorker.com/magazine/2014/10

>It is the self-organizing and self-assembling properties of *inanimate* molecules that make the origin problem much less difficult. The mystery probably does not have a complete solution, but amazing partial solutions have been discovered in my lifetime. Most promising are:
(1) the rich *abiogenic* syntheses of amino acids, nucleobases, and many other biomolecules, and
(2) the *spontaneous* folding and assembly of linear copolymers of amino acids and nucleotides to form enzymes and higher order molecular structures.

>The origin of the genetic code and genetic language is still the greatest mystery, but whatever the answer, it is a fact that for over 4 billion years of evolution linear copolymer folding has remained the essential symbol grounding process that enables *1-dimensional genetic symbolic descriptions* to construct and control the *3-dimensional molecular machinery of all life*. These folded macromolecules also have remained as the *initial detectors of sensory information* at all levels of evolution. Any biosemiotic studies should understand these universal ***molecular symbol-matter and matter-symbol transitions***.

academia.edu/44551141/The_Prim

@psybertron @antlerboy

That's the point. You don't *have* to do anything. But if you *are* doing something my suggestion is to ask questions first: you are doing it for, and .

@psybertron

The reason for using as the name for my "special" flavor of understanding this system science was mainly to distance from everything *cyber* and to return to the roots by using a spelling similar to the pronunciation of in the Greek original:

translate.google.com/?sl=auto&

@psybertron @antlerboy

Real trust between people and between people and technology is built, not by engaging in philosophical discussions about the "greatness" of one or another idea, but in real where all "have their skin in" and "scratch each other's backs".

Unfortunately, a large number of people may not see that, and develop an infatuation with narcissistic loudmouth salesmen that don't genuinely have their best interest in mind.

@antlerboy

That's what I'm trying to say.

Impressions are important, and Cybersyn projected an unhelpful technocratic elitist aura that was in the end seized by its opponents and helped in ending the whole thing.
Morozov pushes the narrative that the reason the experiment failed was all because of the "evil capitalist West" interference but, IMO if it was that great it would endure whatever was thrown on it.

It is always the same, developers (innovators) build that satisfy *themselves*, not they are supposedly developing it for.

And people are not only *symbolically* more important, they are *realistically* much more important than technology. Especially in a revolution.

@antlerboy

Morozov:

>“That’s why I find the legacy of the Cybersyn Project and Stafford Beer to be a very promising avenue for reinventing what socialism of the 21st century should be.”

No, it's not. A better world is built on , not on "cybernetic management principles". Giving decision-makers "chairs with a set of futuristic buttons, a cigar ashtray, and space for a whisky tumbler built into the armrest" does not exactly project a picture that they may have the workers' best interests in mind.

Medina has a much better understanding of the whole Cybersyn thing and the role technology plays in creating a better world:

1️⃣ Government can shape innovations to benefit the whole of society
2️⃣ Design bias can limit democracy and inclusion
3️⃣ Older technology can solve problems
4️⃣ Privacy is critical
5️⃣ Innovation alone does not build a better world

jacobin.com/2015/04/allende-ch

Talking about the "nervous system" in isolation from the rest of the body and its environment is like trying to figure out what is the automobile about by looking at its motor running on a stand. You need to look at where the "rubber hits the road" to really understand what's going on.

Only "bodies can do things" not the isolated nervous systems. Of course, brains have a within the body, the same way that individual bodies (with their respective brains) have a function within a social organization.

The nervous "(sub)system" has no need to be in direct contact with the environment, but it also can't function or even survive (is not viable) without the support of all the other body parts, some of which *are* and *must* be in direct contact with the .

According to , The whole purpose of the nervous system and cognition is the survival of the body:

>"The major function of the brain is actually not to sit around and discuss things like we are doing now, but it is to make decisions - it has to decide whether to fight or run or eat ..."

academia.edu/6576779/Rosen_and

Thinking about the nervous "system" in isolation is typical for thinking which separates the (management) system from the system (the plant) and does not recognize the fact that they depend on each other and should be thought of as one system.

People are "social animals" and the emergent capability and knowledge of an as a system of people are quite different from the collection of all the individual learning capabilities and knowledge of the individuals it is composed of, so it is, therefore, appropriate to treat the organization as another dynamical system.

Unless I see evidence that someone else already introduced it in similar terms, I will claim here that I've come up with (yet another😀) theory of consciousness I will aptly name a "Kihbernetic Theory of " or "".

According to this theory in a dynamical system is always (innate or learned, like driving a bike), is always (i.e. it assumes there is , teleology, conscious seeking for answers), and can be either conscious or unconscious.

For example, one can be focused on (have conscious control over) a conversation while unconsciously controlling a vehicle they are driving, and then momentarily switch their to some unexpected situation on the road that the regulators were unable to resolve by themselves.

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Reading about different theories of while trying to understand why it is such a "hard problem" and just had an idea. I'm sure someone has already thought of it, but here it is just in case:

Both and neural activity are carried on by the same neural network mechanisms. The only difference between the two is that unconscious activities happen in , like a wave, while all conscious activity is performed in a .

We can experience multiple things and are able to perform multiple **unconscious** activities at the same time, but we can focus our conscious only on *one thing at a time*. This is why we are flipping between two different views of the Necker cube and we can't *see* both versions at the same time.

Both conscious and unconscious activity affects the current of the neural network (our thoughts), but only conscious thoughts can be memorized and later recalled because they are "recorded" as sequences of events (stories).

This is totally different from computer which mainly stores and retrieves separate, out-of-context data points.

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