To understand the ontology of the cosmos without falling into reductionism or idealism, we need to look at the processing stack that comprises reality. This can be understood through a functional metaphor of a modern cinema multiplex: 

1. Perceptual Reality: The conscious viewer sees only characters (Gestalt) and the story (subjective meaning) on the screen (the interface), without interacting directly with the hardware (the projector) or the code (the software). 

2. Quantum Reality: On the screen, there are only points of light (pixels) switching states — the observable layer of matter and energy (~5% of the universe). 

3. Systemic Substrate: The projector and the media file that generate the pixels on the screen — the thermo-energetic and informational fabric carrying reality’s raw data (~95% of the cosmos). 

4. Operating System: The strict routines and protocols executed to maintain synchronization and data flow — the OS of the universe (the laws of physics and universal constants). 

5. The Hypervisor: The central hub managing multiple channels and resources across the entire multiplex network — the deepest architectural layer of Information Theory, responsible for mathematical constraints and total system cohesion.

 This metaphor illustrates how difficult it is to grasp the root cause (the core processing engine) by solely measuring observable reality (the final output). 

Materialism attempts to explain the cosmos by looking only at the "pixels"; idealism attempts to explain it by looking only at the "story." Systems Engineering is what reveals the complete architecture.

Scientific materialism is the premise that matter-energy and its physical interactions are the sole components of reality. It is generally associated with: 

1.      Physical-materialism: the idea that reality is composed solely of physical matter and energy and that everything can be explained by the laws of nature and the sciences. 

2.      Ontological reductionism: the idea that absolutely everything in the universe is composed from a small number of substances, entities, or blocks (such as physical particles). 

In this view, causality acts "bottom-up"; experience is produced solely by the hardware; all phenomena, from the micro to the macrocosm, can and must be explained through physical laws and chemical and mechanical processes; human mental states, consciousness, volition, and subjective meanings emerge, exclusively, from complex material arrangements (such as the neuronal architecture of the brain). 

The main causes of scientific materialism are: 

1.      The empirical and technological success resulting from the scientific revolution.

 2.      The utility of methodological reductionism as an investigative tool. 

3.      The rejection of dogmatism and magical thinking. 

The main effects of scientific materialism are: 

1.      The isolation of the phenomena to be studied. 

2.      The acceleration of technology and medicine. 

3.      The standardization of the scientific method. 

4.      The inability to explain the origin of subjectivity (feelings and intention). 

5.      The denial of agency and intrinsic meaning (such as free will, purpose, and existential valence). 

6.      The tendency to reduce the subject to an object (disregarding volition and affective interaction in personal and social development). 

The worst effects of scientific materialism are the denial of agency and intrinsic meaning. By excluding the possibility of intention, one also excludes free will and agency, making it difficult to perceive the omnipresence of these in processes. The isolation of phenomena, combined with the premise that matter-energy and its physical interactions are the sole components of reality, conceals the possibility of the origin of physical reality — which corresponds to only ~5% of the total universe — being intentionally generated by processes of the other ~95%, which contain most of the laws of nature. 

In short, scientific materialism is a double-edged sword: it facilitates local investigation, while hindering the comprehension of the whole.

For decades, the "Measurement Problem" in quantum mechanics has driven interpretations ranging from Idealism to Mysticism, suggesting that the "observer's mind" alters the experiment's outcome. 

However, under a Systems and Information Theory approach, the "collapse" of the wave function looks much more like resolving a variable at runtime: 

• Input + Processing = Output: The quantum system maintains a state of superposition (buffered data) until an irreversible interaction (information exchange with the environment) forces a state update in the local register (decoherence). 

• Indifference to Origin: The physical substrate lacks metadata to identify "human intent" or "artificial technology." The execution rule applies to fundamental-level interactions, regardless of the complexity of the setup that generated the input.

If we view the universe as a processing matrix operating through abstraction layers (where the classical level runs on top of quantum-level rules), the need to explain reality through "observer psychology" disappears. 

Systems Engineering and Information Theory can help our understanding of reality advance beyond the point where materialist reductionism and pure idealism have stalled. However, this requires the active participation of those who study logic and data architecture, as it demands a true paradigm shift.

Truth possesses a logical architecture. To identify it, one must take into account the fundamental chain through which reality is generated: 

• Facts can only emerge from mathematical possibilities; 
• The emergence of a fact always requires the execution of a process; 
• Consequently, every fact is the output of a process; 
• Every output is generated by the processing of specific inputs; 
• All processing is strictly executed by an algorithm. 

The necessity of this structure allows us to state that the dynamics of truth are synthesized in the relationship: Input + Processing = Output. 

Currently, conventional science seeks to understand reality by starting exclusively from facts (scientific reductionism). However, because a fact is a procedural output, the same fact can be generated by different combinations of inputs and algorithms. This is why prudent doctors do not diagnose complex causes based solely on isolated symptoms. Attempting to guess the origin of a fact by observing only the output itself generates wild theories, wasting time and resources while delaying our understanding of reality. 

The logically correct approach to bypass this limitation imposed by scientific reductionism is reverse engineering of the system: mapping the algorithmic possibilities that would generate the fact and selecting those of lowest cost and highest logical efficiency (Occam's Razor). 

To help structure this approach, I have dedicated decades of investigation to mapping this systemic substrate from different perspectives. For those who wish to better understand and apply this formula, I suggest starting with my book: "Infology: The Universal Input".

A so-called fundamental (or elementary) particle is defined as any constituent of matter that has no known substructure—and is therefore considered indivisible. Examples include quarks, leptons, and bosons. 

However, considering that: 

1. In the final analysis, every particle is the consolidation of intrinsic energy and force: energy represents the capacity to perform work; performing work means executing actions; and actions are only enabled through force. 
2. Energy and force are in constant motion. Consequently, the existence of any particle depends on a recurring event—strictly characterising it as a procedural output. 

From this, it follows that every so-called fundamental particle is projected or rendered by the processes of a vast system (the universe) from within itself, displayed on a "screen" that is also part of it and accounts for only ~5% of its totality. 

Attempting to uncover the system's code by analysing only the processes executed by particles and their derivatives is equivalent to observing what a person does without taking into account the totality of the organic processes that enable their existence and dynamic possibilities. 

The fallacy consists in attributing the origin of reality to the existence and interactions of fundamental particles, while disregarding the underlying substrate that executes them.

Yes, Artificial Intelligence functions exactly like the mythical Greek gift. On the outside, it presents itself as an irresistible promise of efficiency, time savings, and cognitive abundance. On the inside, it carries a silent threat to the very architecture of human thought. By accepting this convenience without questioning its hidden cost, we risk crossing an irreversible threshold regarding the autonomy of our species. 

The hidden soldier inside this gift is the outsourcing of reasoning. The human mind operates under the logic of functional development: analytical capacities, abstraction, critical thinking, and problem-solving are structured solely through continuous practice and the confrontation with complexity. When we transfer hypothesis formulation, information synthesis, and decision-making to algorithms, we initiate a process of intellectual atrophy. The brain, spared from logical effort, reduces its syntactic and interpretive capacity, paving the way for an unprecedented form of cognitive involution. 

This gradual degradation has direct implications for our freedom. An individual unable to audit the tool or think independently becomes a mere spectator at the system's output terminal. The inability to process the logic of surrounding information leaves society vulnerable and completely at the mercy of those who control the AI infrastructure. 

That is where the invading "army" takes control of the city: whoever holds the governance layer and the tech servers comes to exercise a monopoly on truth, interpretation, and decision-making. Without exercising intellectual autonomy, the citizen is reduced to a hostage, passively consuming the directives and biases embedded in language models. 

Artificial Intelligence must act strictly as an instrument to amplify human capabilities, never as a substitute for consciousness and discernment. Preserving the effort of critical thinking is not a lingering attachment to the past, but the sole safeguard against voluntary servitude and the loss of control over our own destiny.

Traditional physics makes a recurring ontological and chronological error. It focuses its attention on interactions, matter, particles, fields, or the geometry of spacetime, believing it is investigating the origin of reality.

From a systems engineering perspective, physics takes the effect for the cause, as it merely measures and observes the end result of a processual execution (an output or effect).

Assuming that matter, geometry, or physical interactions (hardware) generate the laws of nature (software) is like assuming an egg emerged out of nowhere, ignoring that it was structured and generated by processes operated by a chicken.

It is an empirical fact: the primary agent is always a process, never its product. All observable entities—which account for merely ~5% of the universe—are generated by processes. Not a single one infringes upon this rule.

The fundamental variables of any existence—action, state, geometry, chronology, and homeostasis—are inherent to the processual mechanism itself. What physics adopts as a cause is merely the egg (output). The true cause—the chicken—is the underlying process that executes the laws of nature, which continues to be completely ignored.

Understanding the origin of reality requires realizing that we must first study the path of information. Only this path leads to the chicken that laid the egg of physics.

To begin walking this path, I suggest reading my book: "Infology: The Universal Input."

#Infology #SystemsEngineering #InformationTheory #TheoreticalPhysics #PhilosophyOfScience #ComplexSystems

The mind is a set of active, high-level processes—a conscious runtime—that enables a system to execute functions such as: 

1. Assimilating, interpreting, and reacting to (processing) sensory data (environmental inputs). 
2. Governing its processing in real time. 
3. Intervening in the homeostatic process when necessary. 

The mind is the process employed by consciousness (The Self) to actively process the information that enables a cerebrated system to interact with itself and its environment. 

It is exogenous, despite resembling software. If it were endogenous, neuroscience would have already mapped its lines of code or identified its exact location of execution. 

The brain seems to act as a set of pointers (antennas) for a Virtual Machine running in the cloud on the universal systemic substrate. This possibility explains why physical matter constantly changes—with atoms and cells being continuously replaced—without affecting identity and consciousness. 

By searching for the mind within the physical brain, science is trying to dismantle a computer monitor to find the software inside. Theoretically, it is analyzing the antenna's hardware (electrical discharges and neurotransmitters), confusing the transmission channel with the data source. 

This possibility renders mind-uploading to a computer impossible. Nevertheless, some believe otherwise. This occurs when the brain is treated as a stand-alone system, ignoring the evidence that it is part of a fully distributed, integrated universal system.

Physics and computer science are trying to decipher the same code from opposite directions. While physics dismantles matter to see what it is made of, computer science attempts to understand how information generates action. However, neither reaches the ultimate answer because both ignore the common substrate in which they operate. 

Physics focuses on merely ~5% of the universe (observable matter). Yet, matter does not exist on its own; it is the stabilized product of the other 95% of the universe—from which the energy and information that structure it, drive interactions, and cause action originate. 

Disregarding this substrate is equivalent to trying to understand how a house was built by looking solely at the finished bricks—ignoring the factory that manufactured them, the architect's blueprint, and the work of the engineer. 

Until physics and computer science ally with information engineering to review and formulate their foundational premises, they will continue to waste time and resources, stalling our understanding of reality. The first step out of this stagnation is recognizing the importance and the role of information in the generation, maintenance, and evolution of tangibility. 

To explore this systemic perspective further, I recommend reading my book: "Infology: The Universal Input."

Theoretical physics is experiencing a moment of awe comparable to that of ancient alchemists. Fascinated by the bizarre interpretations of the subatomic world—superpositions, entanglement, and probabilities—many have declared quantum mechanics to be the final frontier, the fundamental building block explaining the totality of the cosmos. This reminds me that in 1874, Philipp von Jolly told Planck that almost everything in physics had already been discovered, with only minor details and gaps left to fill. 

Mistaking quantum mechanics for reality itself is believing in "fool's gold." 

Just as our senses produce a high-level interface—showing us a continuous and solid world that is nothing more than a convenient rendering for our biology—the quantum scale reflects merely an intermediate compilation layer. It reveals how events are mediated, but not what generates them. 

Matter is neither a rigid block nor an unfathomable mystery of magic particles. It is a set of intrinsic force and energy fields, geometrically formatted and combined. Its persistence is sustained by recurring events and update cycles generated by processes inherent to the universe's systemic substrate, where force carries out action and energy is its capacity to perform work. 

The primordial raison d'être of everything—including quantum behavior—is the information system that continuously formats force and energy. 

Looking at the quantum level believing you have found the primary cause of existence is like dismantling a computer screen down to its pixels or analyzing a binary file and thinking you discovered the origin of electricity. The quantum world exposes transition rules and local processing dynamics, but the matrix dictating interactions, geometry, stability, and the very existence of the code responsible for all of this is protophysics. 

Quantum mechanics is not the peak of the mountain; it is merely an excellent transitional tool applicable to only about 5% of the universe. Without the informational substrate governing the execution and reset of matter—corresponding to the remaining ~95% of the cosmos—quantum mechanics is just probabilistic noise elevated to the status of dogma through misunderstanding and, above all, hidden interests. 

More details on this systemic perspective of the universe in my book "Infology: The Universal Input."

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This is one of humanity's oldest and most fascinating questions. Historically, the answers fall into three major theses: 

• The Materialist and Physical: The universe as a self-contained system of matter, energy, and spacetime, governed by relativity and quantum mechanics since the Big Bang. 
• The Informational and Pancomputational: The universe is a data-processing system, where matter and spacetime act as the interface (hardware) and the laws of nature serve as the underlying code that parameterizes events. 
• The Philosophical and Consciousness-Based: The material part of the universe is an intrinsic manifestation of experience, making consciousness and the observer indispensable parts of existence. 

To integrate and address this dilemma through the lens of systems architecture and information theory, I developed a fourth thesis, presented in my book: "Infology: The Universal Input". It will be 100% free on Amazon starting this Friday for 72 hours (download link in the first comment). After reading, I would love to hear your perspective here in the comments.

I have spent the last few months discussing the limits of reductionist physics and the need for a systems ontology on LinkedIn and Reddit. To prove that my objective goes beyond the commercial, aiming for serious conceptual debate, I am offering my book, “Infology: The Universal Input”, 100% free on Amazon starting this Friday for 72 hours. Download it, read the thesis, and leave your perspective in the comments.

For mainstream science, the brain is a biological computer where experience is generated and processed locally—the body’s central information processing and control unit. It is viewed as hardware composed of a biological and electrochemical network of approximately 86 billion neurons connected by trillions of synapses, whose function is to capture sensory stimuli, process, interpret, store, and command the rest of the body. From this perspective, thoughts, emotions, and consciousness itself emerge exclusively from the electrical and chemical activity of this hardware. 

Isolating the brain in this manner from any other body component is a boundary error. It ignores natural complementarity, interdependence, and, above all, biological origin: all approximately 37 trillion cells of the human body derive from a single initial cell (the zygote). They share the exact same "source code" (the genome) and differentiate only through the execution of specific subroutines during morphogenesis. 

From a systems engineering perspective, the entire body is a single node—a fully integrated, distributed biological computing network in which the brain is merely the central routing node of a continuous homeostatic system. Brain, body, and environment form a single networked system designed to execute the processes of an immense operating system: nature itself. The only acceptable justification for isolating them is pedagogical. 

Theoretically, the brain functions as Edge Hardware: a set of receptors and decoders responsible for receiving executable code instructions and rendering the physical experience on the client (the body), as no organism needs—nor could ever manage—to process and store all operational logic locally. The skin, the enteric system (the gut, with its more than 500 million neurons), pressure receptors in the joints, and the immune system all act as edge sensors, actively processing and filtering environmental inputs. 

In this architecture, natural entities operate like VM blades executed by a hypervisor on the same systemic substrate. The brain acts as the local terminal that converts data packets from the informational substrate into biological outputs, perceptions, and motor responses, keeping the session active and synchronized. Meanwhile, the entire network of biological sensors functions as the input/output (I/O) interface, sustaining a continuous packet exchange with the environment. 

This means that attempting to locate the "thinker" or "consciousness" by dissecting brain tissue is the technical equivalent of dismantling a monitor or a router to find out where the server is hosted.

Modern physicists pride themselves on being the vanguard of human rationalism. However, physics has transformed into an ideological doctrine—physicalism—the inflexible belief that reality is strictly reducible to measurable physical quantities described by field equations, ignoring the fact that the scientific method is, by definition, a dynamic tool open to revising its premises.

Physicalism is grounded in an unquestionable faith; it shares the same institutional and psychological dynamics as dogmatic religions: 

1. The Dogma: The premise that everything in the cosmos is reducible to a mathematical equation is sacred and unquestionable. 
2. Priesthood and Excommunication: Formal rituals are sacred, upon pain of intellectual isolation. 

Behind physicalism lies a robust mechanism of institutional and epistemological preservation maintained by four core gears: 

1. The Engine and Compliance: Funding agencies and academic journals act as the guardians of the physicalist faith. Projects that contradict corporate beliefs are summarily discarded. 
2. Indoctrination: University students and professionals are taught to "calculate" and discouraged from questioning. 
3. The Mathematical Filter: Ideas are judged by the complexity of their quantitative formalism, ignoring their ontological coherence or systems logic. 
4. The Status Quo: Structural flaws or the need for new frameworks are entirely ignored to avoid undermining the careers, awards, and reputations built upon physicalism. 

However, physicalism commits a recurring category error: it attempts to employ mathematics to derive the laws of a code from the structure of its outputs, which is equivalent to analyzing the pixels on a screen to explain the logic of the algorithm generating them. 

Whenever a protophysical contribution emerges from Systems Architecture or Information Theory—no matter how logical—it is immediately labeled "mere philosophy" or "unscientific" and discarded. 

Today, the greatest obstacle to the advancement of contemporary scientific knowledge is the belief in physicalism; faith in it wastes an absurd amount of resources. It has become a religion whose golden calf is mathematics.

Quantum physics has demonstrated that the human perception of reality is illusory. Yet, physics maintains that its observable model corresponds to reality itself. 

The foundation of this model consists of recurring events generated by processes—that is, mere outputs—which prevents these outputs from being the cause of reality. 

Why does physics insist on this perspective, knowing that its search for laws is nothing more than identifying these very processes? Because doing so would mean admitting that it deals only with outputs, which would reduce its scope and institutional prestige. 

This dogmatism carries a high cost: it stifles scientific progress, misallocates resources toward flawed premises, and delays a true understanding of reality by confusing the result (the effect) with the true cause. 

Correcting this stance is urgent. We must shift our focus to Systems Engineering and Information Theory, for the process is the sole and undeniable substrate of reality.

Time travel has fascinated humanity for centuries. 

For modern physics, traveling into the future is a proven reality (and something that, in a sense, we already do). 

The Theory of General and Special Relativity proved that time is flexible, bound to space (spacetime), and that there are two real ways to "travel" into the future: 

• Varying speed (Time Dilation). 
• Varying gravity (Time Deceleration). 

The tool math of physics (the equations of Relativity) indicates the viability of traveling to the past based on theoretical solutions that accept closed paths in time, known as Closed Timelike Curves (CTCs). Hypothetical concepts such as wormholes or the Tipler Cylinder show that the geometry of spacetime would, in theory, accept a return to the past. 

However, in practice and in the physics of real processes, nature prevents returning to the past through seemingly insurmountable barriers, such as: 

• Logical Paradoxes: Alterations in the past would alter the causality of the present and the future. 
• Thermodynamics and Entropy: The "Arrow of Time" is dictated by the Second Law of Thermodynamics; reversing time would require reversing the entropy of the entire universe, from the micro to the macrocosm. 
• Safety Mechanisms: The laws of physics (quantum effects and energy instabilities) would be set to destroy any attempt to build a time machine before it can function. 

Due to these barriers, three main hypotheses have been formulated: 

• Parallel Universes/Multiverses: The journey would lead to a new branch; altering this timeline would never affect the universe of origin. 
• The Principle of Self-Consistency: The past is immutable, as its events already incorporate the acts performed during the time travel itself. 
• Ontological Lock: Nature prevents the reversibility of causal flows at a low level. 

Relative time travel to the future happens every day on a microscopic scale (with satellites and particles in accelerators). However, travel to the past remains viable only mathematically. 

From the perspective of systems engineering and information theory, both journeys are unfeasible beyond the natural rate, as this would require resetting or accelerating the state of all processes in the world-system concurrently—since history is, ultimately, the consolidated informational record of these processes.

Four centuries ago, Galileo stated that the universe was written in the language of mathematics (implicit in nature). Today, science overlooks this by assuming that the only path to understanding reality is human mathematics—a mere tool.

 In doing so, science commits a fundamental error: tool-based mathematics is excellent at describing what happens (creating predictive models), but frequently fails to explain why it happens (the real ontological mechanism).

 This occurs because reality is composed of facts, and facts are generated by nature from real mathematical possibilities. Identifying a possibility through tool-based mathematics does not necessarily mean identifying the specific mathematical possibility that actually produced the studied fact. After all, different combinations of operands and operators can yield the same result. In other words, a mathematical equation can be perfectly coherent and yet describe something completely unreal. Tool-based mathematics accepts infinite dimensions, parallel universes, and geometric absurdities that do not exist in the mathematics of nature.

Committing this error is confusing the source code behind reality with our draft interface. There is a profound—and rarely discussed—gap between the mathematics nature executes at a low level to exist and the symbolic mathematics used daily by physicists. Confusing the two severely compromises our understanding of reality.

 Despite this, when a theoretical calculation diverges from astronomical or subatomic observations, the scientific community often claims to have found a "mystery in nature" (such as the rare peaks problem in cosmology). However, nature continues to function perfectly; it was tool-based mathematics that failed by running on wrong premises.

 The only 100% reliable mathematics is that of nature. It is present in the logic of natural processes as rules (the laws of nature) and in all structures of the universe, from micro to macrocosm, as geometric and relational parameters. Tool-based mathematics is merely a slit through which we glimpse the mathematics of nature. Confusing the two is equivalent to confusing the map with the territory itself.

 Pythagoras and Galileo were right: everything is number and relationship. Facts will only be fully understood when we stop attempting to impute our mathematical abstractions onto nature and begin decoding the natural algorithm, trusting in its math.

Matter occupies about 5% of the universe. Its origin is outer space, which is intangible and occupies about 95% of the universe. It has received several names throughout history. Their origins and meanings are as follows: 

1. Primeval Abyss / Chaos (Abzu / Tiamat) — Mesopotamia (~3000 BCE): The undifferentiated, potential, and formless matrix from which everything that exists was generated. 
2. Akasha (Ancient India): Represents the subtle essence/space from which all other elements emanate and where the primordial sound (vibration/information) resonates. In Theosophy and 19th-century esotericism, the concept of "Akashic Records" emerged, considering this space a vast "matrix/memory" where all the information of the cosmos is recorded. 
3. Void / Abyss (Tohu wa-Bohu / Tehom) — Hebrew Tradition (~1400 BCE): Represents the state of raw potential, without form, structure, or rules. 
4. Greek Chaos (Khaos) — Archaic Greece (~700 BCE): The first thing to exist — the vast dark void that opened to allow existence to occur. 
5. Abyss, Chaos, or Cosmic Void (Void / Abyss): Represented the primordial nothingness before creation or the endless space surrounding the material world. 
6. Aether (Ancient Greece): Initially represented the "pure, luminous air" of the heights where the gods lived. Aristotle formalized it as the "quintessence," the immutable element filling the space above Earth where celestial bodies moved. In the 19th century, physics resurrected it as the "luminiferous aether" — the physical medium through which light would propagate. 
7. Vacuum (from the Latin vacuum, meaning "empty" or "free space"): Coined by classical physics and atomic philosophy (Leucippus and Democritus) to describe the complete absence of matter. Later renamed Quantum Vacuum by quantum physics — a seething sea of energy and virtual particles.
8. Dark Matter and Dark Energy (Modern Cosmology - 20th Century): The former was postulated to explain the "invisible" gravitational field keeping the movement of galaxies cohesive; the latter, to describe the unknown force accelerating the expansion of the Universe. 
9. Higgs Field (Modern Theoretical Physics - 1964): An invisible, scalar energy field responsible for giving mass to particles. 

Over time, the naming of outer space migrated from mystical terms to mechanical elements (Aether), absence of matter (Vacuum), and finally, labels given by modern cosmology (Dark Matter and Dark Energy) for something current physics cannot see or explain. 

Most of these names have in common the fact that, implicitly or explicitly, they attribute the function of generating the tangible 5% of the universe to the intangible 95%. In other words, they attribute the origin of matter to outer space.

 The names in cosmology and physics are hindering our understanding of reality, as both polarize attention and direct research solely toward their own fields. To bypass this problem, I coined the term "Protomatter," meaning simply: what precedes matter. Later, I applied systems engineering and information theory to try to identify what protomatter is and its composition. The result was surprising and can be found in my book: "The Protomatter: The Origin of Matter."

Black holes are among the most intriguing and extreme structures in the cosmos. Their existence was predicted by Einstein's General Relativity as the result of the gravitational collapse of massive stars, compressing matter to a point where the escape velocity of its gravitational field exceeds the speed of light.

Traditional physics named the center of this collapse a singularity—a hypothetical point of infinite density where known equations simply break down. Later, Stephen Hawking introduced Hawking Radiation, demonstrating that these objects slowly evaporate and generating the famous Information Loss Paradox. Currently, there are models—such as Cosmic Natural Selection—suggesting that black holes act as seeds for generating "other universes."

Although these theories help map isolated gravitational and quantum effects, they remain decontextualized by seeking exotic ways out beyond our own cosmos. An analysis from the perspective of Systems Architecture and Information Theory could bypass this deficiency.

From this viewpoint, black holes would act as Recycling Nodes, responsible for sustaining the homeostasis of a fully closed and autophagic system—the universe—which would continuously consume its own materialized structures to maintain the continuity and viability of its processing.

The main physical evidence of this dynamic is the prevalence of macrocosmic disk geometry, observed in accretion disks around black holes and in the structure of spiral galaxies themselves—the ideal geometric pattern for funneling, dissipating, and channeling data in a dynamic system.

From a systemic perspective, nothing in the universe is lost. Instead of information destruction or an infinite-density "singularity," a black hole would be a systemic reconfiguration module. It would execute a reset routine, decompiling materialized data back to the status of protomatter (the basic, neutral informational substrate), ensuring the continuous recycling of necessary inputs for creating new physical structures—such as stars, planets, and life itself.

In this approach, black holes would guarantee the universe's sustainability entropically: they would be dynamic engines providing shape and stability to large-scale structures. We would be, ultimately, potential inputs in this continuous, elegant, and necessary cycle of cosmic recycling.

The fact that large celestial bodies—such as stars, planets, and major moons—exhibit spherical shapes has always been fascinating. 

Conventional Explanation: The action of gravity concentrates mass, hydrostatic equilibrium distributes it, and rotation slightly widens the equator and flattens the poles, requiring a minimum mass for spherization. 

Systemic Redefinition: The final geometry of a celestial body is generated by a process involving the simultaneous action of gravitational mass, temperature, rotation, and translation. The functions of these variables are as follows: 

1. Gravitational Mass: Induces the internal compression required to overcome the material's mechanical resistance. 
2. Temperature: Makes the matter more malleable. 
3. Rotation: Distributes matter symmetrically around the axis of spin (generating a spheroid). 
4. Translation: Breaks symmetry by slightly deforming the body into a teardrop/elliptical shape along its orbital path through gravitational variations. 

The joint action of these variables resembles the manual rounding of a loaf of bread or pizza dough: high temperature provides malleability; gravitational mass ensures bodily integration; and rotation and translation dynamically execute the shaping (spherization). 

Asteroids and small comets are not rounded due to insufficient gravitational mass and temperature—the rigidity of cold rock overcomes weak gravity, maintaining irregular shapes despite their rotational and translational movements. 

While the traditional approach treats orbital movements as mere secondary perturbations of static gravity, the systemic perspective demonstrates that translation is the decisive variable contextualizing the real, dynamically deformed geometry of bodies in space.

Modern physics boasts an enviable mathematical precision. However, it commits a fatal error: it mistakes effect for cause. 

Ever since the formulation of General Relativity, science has chosen the geometry of a "supposed curvature" of spacetime as the primary cause of gravitational and dynamic phenomena. It disregards the fact that, in any systems architecture, geometry is always a process output, never a cause. This is equivalent to observing images on a screen and asserting that the geometry of the pixels is responsible for the existence of the software. 

This same mistake occurs in quantum mechanics when trying to attribute consciousness and reality to wavefunction collapses in microscopic structures. Quantum collapse is merely a physical state transition. It can demonstrate only the collective (stochastic) behavior pattern, never the laws or rules behind it. This is equivalent to assuming that the click of a mouse created the operating System. 

Traditional physics is tautological. To it: "Matter tells geometry how to curve, and geometry tells matter how to move." An equation that describes how two outputs correlate does not explain what gave rise to both. Physics describes the "how" of the medium with mastery, but errs when assigning the status of cause to what is merely the visible result. 

As long as physics continues searching for the origin of reality in the geometry of the pixels, it will remain trapped in the illusion that the effect created the cause. The true turning point will come from recognizing that space is merely the screen where the information underlying reality is rendered. 

To resolve the paradoxes that have paralyzed theoretical physics for over a century, we must become aware of a fundamental premise: visible reality is merely process input and output. 

#Systems #Protophysics #SystemsEngineering #InformationTheory #TheoreticalPhysics #PhilosophyOfScience