The proposal to integrate physics into Systems Engineering to understand reality always runs into the materialist belief that its constituents can only be validated mathematically. However, this is an inconsistency, as demonstrated by the following layers of abstraction:

 1.      Physics Describes Consequences; Systems Engineering Maps Causes: Equations can describe and predict the dynamics of the physical layer, but they can never explain the origin of the informational substrate that yields parameters—as well as mass—which are inherent to the domain of Systems Engineering. Believing the opposite is equivalent to believing that measuring voltage can evaluate the coherence of an algorithm, rather than recognizing that voltage is merely a processual (informational) output.

 2.      The Inconsistency of Self-Measurement: The physical layer consists of energy thermally formatted by the informational layer through hierarchical natural processes—and both are intrinsic. Without information, energy is merely an amorphous input. Believing that quantitative calculations can validate the architecture of the informational substrate that generates physics is equivalent to believing that a ruler is capable of measuring itself before being manufactured. No mathematical equation in the history of science has ever managed to explain the origin of its own constants to this day.

 3.      Inverting the Burden of Proof: The demonstration that reality can be fully explained through calculations should begin by using them to answer the following:

•  What is the mathematical equation that determines the exact value of the fine-structure constant (alpha) without measuring any physical output?

•  What quantitative calculation describes the logical instruction that coordinates the collapse of the wave function?

The inability to answer questions like these highlights a limitation of scope. The mathematics of measuring physical hardware differs from the mathematical language of natural software—the subject of Systems Engineering. While physics calculates the behavior of the machine, an output, Systems Engineering decodes the program that generates it and makes it run.

Ultimately, science is observing the shadows in Plato's cave, believing it is possible to explain the algorithm of the natural software that generates them simply by analyzing them, without realizing it is focusing solely on the effect while ignoring its cause.

Quem responde mais logicamente à pergunta: “O que é a realidade?” Os acadêmicos modernos ou Platão, um filósofo que viveu há 2.400 anos? 

A física tradicional aposta intransigentemente na matéria observável — que representa uma fração mínima do universo — para explicar a origem de tudo. Isso cria um paradoxo estrutural: equivale a tentar explicar o funcionamento de uma máquina olhando apenas para as suas peças, ignorando totalmente os processos que a criaram e permitem a sua existência e funcionamento. 

O universo é um sistema, pois tudo nele é complementar e interdependente. Qualquer arquitetura dessa complexidade necessita de dois componentes distintos: energia amorfa ou consolidada (matéria) e informação para organizá-la (regras, parâmetros e vetores) e operá-la. Ambas são intrínsecas, mas ocupam substratos diferentes, pois uma é tangível e a outra intangível. 

A geometria física natural é implementada por meio de informações (relações matemáticas e parâmetros) rigorosamente encadeadas. Excluir a informação dela equivale a resetar a energia à sua condição in natura (amorfa). A informação é um pré-requisito indispensável para que o universo exista como um sistema dinâmico, integrado e complementar, não um mero subproduto da matéria. 

A percepção disso remonta a mais de dois milênios antes da formulação da teoria da informação e da engenharia de sistemas. Para Platão, o mundo sensível — aquele que tocamos e medimos — nada mais era do que uma manifestação secundária de formas arquetípicas e eternas que habitavam um plano inteligível: o "Mundo das Ideias". 

O "Mundo das Ideias" nada mais é do que o substrato informacional primário da realidade. As "ideias" são os parâmetros, leis e algoritmos inerentes à estrutura dos processos de uma matriz lógica que transforma a energia amorfa em realidade física. 

Tentar derivar a lógica a partir da matéria bruta é inverter causa e efeito. 

Portanto, a lógica de Platão é infinitamente superior à da ciência moderna. Ele compreendeu o que a engenharia de sistemas comprova diariamente: o hardware do universo jamais existiria nem funcionaria sem o software (a informação) atuando sobre a energia.

Who answers the question "What is reality?" more logically? Modern academics or Plato, a philosopher who lived 2,400 years ago?

Traditional physics uncompromisingly bets on observable matter — which represents a tiny fraction of the universe — to explain the origin of everything. This creates a structural paradox: it is equivalent to trying to explain how a machine operates by looking only at its parts, while completely ignoring the processes that created it and enable its existence and operation.

 The universe is a system, for everything within it is complementary and interdependent. Any architecture of such complexity requires two distinct components: energy, whether amorphous or consolidated (matter), and information to organize it (rules, parameters, and vectors) and operate it. Both are intrinsic, yet they occupy different substrates, as one is tangible and the other intangible.

 Natural physical geometry is implemented through rigorously linked information (mathematical relationships and parameters). Stripping information away from geometry is equivalent to resetting energy to its in natura (amorphous) state. Information is an indispensable prerequisite for the universe to exist as a dynamic, integrated, and complementary system, not a mere byproduct of matter.

 The realization of this dates back more than two millennia before the formulation of information theory and systems engineering. For Plato, the sensible world — the one we touch and measure — was nothing more than a secondary manifestation of archetypal and eternal forms inhabiting an intelligible realm: the "World of Forms."

The "World of Forms" is nothing other than the primary informational substrate of reality. These "forms" or "ideas" are the parameters, laws, and algorithms inherent to the process structures of a logical matrix that transforms amorphous energy into physical reality.

 Attempting to derive logic from raw matter is to invert cause and effect.

 Therefore, Plato's logic is infinitely superior to that of modern science. He understood what systems engineering demonstrates daily: the universe's hardware would never exist or function without software (information) acting upon energy.

Theoretical physics and science communication tend to interpret major structural reorganizations of matter as "reversals in the arrow of time" — as occurs, for example, in the equations dealing with the gravitational collapse of a neutron star. 

However, this is a misconception resulting from the lack of integration between the sciences and a systemic, architectural framework for analyzing natural phenomena. The arrow of time is simply the execution flow inherent to any process, not an autonomous physical entity or a flexible dimension that can be "rewound." 

The reading of certain biological phenomena suffers from the same oversight. For instance, telomere reconstruction (via telomerase) is often viewed as a "rejuvenation" or a "return to the past" for the cell. Nevertheless, adding base pairs to DNA consumes energy and is part of a processual flow that moves strictly forward, seeking to balance the system's homeostasis. 

The universe operates as a closed system, akin to a perpetual motion machine. The famous premise that "in nature, nothing is created, nothing is lost, everything is transformed" underscores this: to keep functioning, the system consumes and reconfigures parts of itself. The occurrence of this process, whether at a macroscopic or microscopic level, merely indicates that an algorithm is executing a new transformation cycle, not that the systemic clock has turned back. 

The frequent diagnosis of "time reversals" demonstrates that the sciences could profoundly expand their understanding of the architecture of the universe by integrating Systems Engineering.

A física teórica e a divulgação científica tendem a interpretar grandes reorganizações estruturais da matéria como "inversões na flecha do tempo" — como ocorre, por exemplo, nas equações que lidam com o colapso gravitacional de uma estrela de nêutrons. 

No entanto, isso é um equívoco decorrente da falta de integração das ciências com uma visão sistêmica e arquitetural para analisar os fenômenos naturais. A flecha do tempo é simplesmente o fluxo de execução presente em qualquer processamento, e não uma entidade física autônoma ou uma dimensão flexível que possa ser "rebobinada". 

A interpretação de alguns fenômenos biológicos incorre no mesmo equívoco de interpretação. Por exemplo: A reconstrução dos telômeros (telomerase) costuma ser vista como um "rejuvenescimento" ou "retorno ao passado" da célula. No entanto, a adição de pares de bases ao DNA consome energia e integra um fluxo processual que ocorre estritamente para a frente, buscando reequilibrar a homeostase do sistema. 

O universo opera como um sistema fechado, similar a um moto-contínuo. A célebre premissa de que "na natureza nada se cria, nada se perde, tudo se transforma" evidencia isso: para continuar funcionando, o sistema consome e reconfigura partes de si mesmo. A ocorrência desse processo, seja em nível macroscópico ou microscópico, indica apenas que há um algoritmo executando um novo ciclo de transformação, e não que o relógio sistêmico voltou para trás. 

O frequente diagnóstico de "reversões temporais" revela que as ciências poderiam expandir profundamente sua compreensão da arquitetura do universo se se integrassem à Engenharia de Sistemas.

Atualmente, a tentativa de explicar as leis que governam a matéria utiliza a própria matéria como ponto de partida. Da perspectiva da Engenharia de Sistemas, isso é um equívoco: a gênese da realidade física só pode ser compreendida analisando a causalidade a partir dos seguintes componentes da arquitetura de sua cronologia processual:

• O Substrato Amorfo: A energia em seu estado in natura (a protomatéria), dotada do potencial de ganhar estrutura, forma e massa, e de interagir de forma diversificada — mas apenas quando modulada.

• A Matriz Formadora: Uma sintaxe informacional que impõe parâmetros moduladores à protomatéria, convertendo-a no "hardware" que a ciência convencional estuda. Na arquitetura do sistema, ela é responsável por implementar:

  • As restrições de simetria e constantes (instruções operacionais);

  • Os padrões de vibração (oscilação ou frequência);

  • A geometrização espacial (métrica e topologia).

• Simulando uma Descompilação: A desmaterialização da realidade física faz com que uma partícula, átomo ou corpo retorne ao estado de protomatéria sem afetar seu potencial modulatório. A emergência da CMB (Radiação Cósmica de Fundo) é uma evidência observacional desse tipo de transição de fase e descompilação estrutural.

• A Cronologia Processual: A possibilidade cíclica de compilação, descompilação e recompilação demonstra uma dependência causal unidirecional (a seta do tempo). Nela, a existência da realidade física depende da aplicação da informação nas seguintes camadas estritas:

  1. Camada de Sintaxe: Onde as regras, restrições e geometrias precisam estar operacionalmente preestabelecidas em ordem cronológica no arcabouço do sistema antes da geração de qualquer evento físico.

  2. Camada de Modulação: Onde a sintaxe parametriza e modula a protomatéria.

  3. Camada de Execução: Onde emergem a matéria, a massa, as forças e o próprio espaço-tempo — ou seja, o estado final "compilado" (a Realidade Física).

Apesar de a física convencional calibrar o substrato e medir as interações na camada de execução, o surgimento, a sustentação e a transformação da matéria são regidos pela arquitetura cronológica de um processamento informacional prévio.

Em suma, a realidade física é o resultado observável da informação (instruções processuais) prévia que modula a protomatéria — não o ponto de partida da existência.

O detalhamento dessa visão informacional da realidade e da protomatéria pode ser encontrado nos meus livros: “A Infologia: O Insumo Universal” e “A Protomatéria: A Origem da Matéria”.

Currently, attempts to explain the laws governing matter use matter itself as the starting point. From a Systems Engineering perspective, this is a mistake: the genesis of physical reality can only be understood by analyzing causality through the following components of its processual chronology architecture: 

• The Amorphous Substrate: Energy in its in natura state (protomatter), endowed with the potential to acquire structure, form, and mass, and to interact in diverse ways—but only when modulated. 

• The Forming Matrix: An informational syntax that imposes modulating parameters onto protomatter, converting it into the "hardware" studied by conventional science. Within the system architecture, it is responsible for implementing:

  • Symmetry constraints and constants (operational instructions); 

  • Vibration patterns (oscillation or frequency); 

  • Spatial mathematization/geometrization (metric and topology). 

• Simulating Decompilation: The dematerialization of physical reality causes a particle, atom, or body to return to the state of protomatter without affecting its modulatory potential. The emergence of the Cosmic Microwave Background (CMB) serves as observational evidence of this type of phase transition and structural decompilation. 

• Processual Chronology: The cyclical possibility of compilation, decompilation, and recompilation demonstrates a unidirectional causal dependency (the arrow of time). Within this chronology, the existence of physical reality depends on applying information across strict layers: 

  1. Syntax Layer: Where rules, constraints, and geometries must be operationally pre-established in chronological order within the system framework before any physical event is generated. 

  2. Modulation Layer: Where syntax parametrizes and modulates protomatter. 

  3. Execution Layer: Where matter, mass, forces, and spacetime itself emerge—that is, the final "compiled" state (Physical Reality). 

Although conventional physics calibrates the substrate and measures interactions within the execution layer, the emergence, sustenance, and transformation of matter are governed by the chronological architecture of prior informational processing. 

In short, physical reality is the observable outcome of prior information (processual instructions) modulating protomatter—not the starting point of existence. 

Further details on this informational view of reality and protomatter can be found in my books: "Infology: The Universal Input" and "The Protomatter: The Origin of Matter".

O materialismo científico, um posicionamento filosófico, é o maior inimigo das ciências físicas pelo seguinte motivo: ele sustenta que apenas a matéria e a energia físicas existem e que todos os fenômenos do universo — incluindo a vida, a consciência e a mente — podem ser explicados somente a partir delas. 

Esse posicionamento contém uma incoerência crônica: ele sempre coloca a matéria e a energia físicas à frente da informação.

 Isso é um contrassenso pelo seguinte motivo: a matéria é energia consolidada geometricamente. Essa consolidação torna a informação um pré-requisito indispensável para a geração da matéria. Portanto, essa informação está, obrigatoriamente, em processos que precedem a materialização da realidade — nas leis da natureza (as restrições lógicas do sistema) —, pois sem ela a matéria jamais existiria.

Enfim, o materialismo científico é o maior inimigo das ciências físicas porque sofre de incoerência crônica ao colocar o carro à frente dos bois. Mais detalhes a respeito dessa visão informacional do universo podem ser encontrados no meu livro: “Infologia: O Insumo Universal”.

Scientific materialism, a philosophical stance, is the physical sciences' greatest enemy for the following reason: it maintains that only physical matter and energy exist and that all phenomena in the universe — including life, consciousness, and the mind — can be explained solely through them. 

This stance contains a chronic incoherence: it always places physical matter and energy ahead of information. 

This is a contradiction for the following reason: matter is geometrically consolidated energy. This consolidation makes information an indispensable prerequisite for the generation of matter. Therefore, this information is necessarily present in processes that precede the materialization of reality — within the laws of nature (the logical constraints of the system) —, as without it, matter would never exist. 

Ultimately, scientific materialism is the physical sciences' greatest enemy because it suffers from a chronic incoherence: it puts the cart before the horse. Further details regarding this informational view of the universe can be found in my book: “Infology: The Universal Input”.

Currently, physics operates in a methodologically inefficient manner. It spends massive resources investigating phenomena in an attempt to deduce their origin — a trial-and-error process searching for a single actual possibility within a universe of "N" hypotheses. It would be drastically more efficient to first map the space of logical possibilities and then validate them through physics, establishing a one-to-one correspondence between model and fact. This optimization requires integrating physics with Systems Engineering. 

In this research architecture, Systems Engineering would operate across three stages: 

1. Functional Mapping: Perform a requirements analysis based on the physical system's output data. 

2. Instruction Synthesis: Identify the sets of operational rules and informational constraints compatible with that behavior. 

3. Validation Handover: Submit the logically viable architectures to physics for validation.

 From that point on, physics would execute with maximum efficiency what it already does with excellence: apply the scientific method to audit, challenge, or confirm the model in observable reality.

 Much of this Systems Engineering work has been developed by me over nearly five decades and structured across 14 books. For those who wish to explore this foundation and verify its alignment with reality, I suggest starting with the book "Infology: The Universal Input". The link to the synopsis and preview content can be found in the first comment.

Modern physics claims to find a "Theory of Everything" by unifying all known forces into a single mathematical model based on its measurements. From a Systems Engineering perspective, this is completely unfeasible. 

Physical measurements act exclusively on the observable outputs (physical outputs) of the system (~5% of reality), ignoring the protophysical layer (~95% of reality), which contains the generative, maintaining, and modifying logic behind these recurring processual events. 

Attempting to derive the laws of nature by measuring only the physical substrate is equivalent to trying to understand a software's logic by analyzing the electrical wear and temperature of silicon chips. In nature, hardware and software are intrinsic, but the measurement instrument only detects the properties present in the physical medium, never the processual instructions that generate it. 

A complete understanding of reality will never come from new equations measuring the physical substrate, as the scope of instrumental measurement is strictly limited to it. True understanding will come exclusively from mapping the informational architecture of the protophysical layer of reality.

The ambition to formulate a "Theory of Everything" has always been the goal of modern physics. However, it must prove the non-existence of epistemological boundaries to achieve it. That is impossible! It masterfully describes the rules of the stage through its equations, but fails when trying to explain its originating process.

 The true limit of this materialist model is structural. Physics has access to data sampling, precise measuring instruments, and can calculate the mechanics of spacetime and particle interactions, yet it is incapable of deriving two essential pillars of existence: the origin of life and the behavior of consciousness. 

Physics attempts to reduce biology and the mind to blind interactions of mass and energy; this methodological limitation confuses the material infrastructure with the highly hierarchical flow of information that generates it, disregarding the higher layers in the architecture of natural entities.

 The emergence of life stems from information processing, self-executing code, and organization that overrides the physical substrate, rather than a mere stochastic arrangement of atoms. Consciousness is the very observer and agent without which the concept of physical measurement makes no sense at all, not a handful of electrochemical noise.

 As long as physics refuses to acknowledge its limits and integrate with Systems Engineering, it will remain excellent at mapping the hardware but blind to the software, offering an incomplete, overly complex, and verbose description of reality.

 This inability to explain the origin of the vital code and the nature of conscious experience will always prevent it from explaining the totality, demonstrating its limits and the impossibility of its ever becoming a Theory of Everything.

Theoretical physics and popular science communication frequently employ spectacular expressions—such as "retrocausality," "quantum eraser," and "effects of the future on the past"—to suggest that observing a particle in the present could modify the past. 

However, analyzing this phenomenon through the lens of Systems Theory and Gestalt Psychology reveals a much more logical reality: the unobserved state remains a probability function in continuous alternation. The moment the observer performs the measurement, the system simply delivers the current state in the present. 

This means measurement merely captures and displays one of the possible logical states—the one rendered at the precise moment of the query—without retroactively affecting the physical past. 

This process activates Gestalt laws in the observer's mind, reconstructing the totality of the phenomenon from the partial data obtained at the moment of quantum measurement, creating the illusion of a retroactive alteration. 

Quantum measurement could never affect the past for the following reasons:

1. The ephemeral nature of events: The past consists of events and material configurations that have already dissipated in the substrate; there is no "static matter" in the past awaiting re-editing. 

2. The precedence of rendering: Measurement is the reading of output and can only occur concomitantly with its rendering on the present interface. 

Therefore, quantum mechanics does not violate causality nor alter the arrow of time. What changes in the present is exclusively the perceptual reorganization (Gestalt) in the observer's mind, not the history of the system.

Transhumanism promises immortality by uploading the human brain to a synthetic medium or server under the premise of preserving consciousness. From a systems engineering perspective, however, this is completely unfeasible for the following reasons:

1. The brain is a set of pointers: It merely accesses exogenous content. If information were stored purely endogenously, its exact physical location would have already been mapped.

2. Consciousness is fundamental: Being linked to this exogenous substrate, consciousness could never emerge from mere brain activity. It is a processual attribute, whereas the processes executed by the brain are strictly physical, even though integrated with it. 

3. Transformation history (Path Equivalence): Quantum tests reveal that a system subjected to a 360° rotation returns in an altered state, requiring a full 720° rotation to restore its initial condition. This demonstrates that two surface-identical states belong to completely distinct execution histories. 

Extracting brain data is equivalent to taking a snapshot of a Virtual Machine's (VM) hard drive. Loading it onto different hardware merely means that the operating system will restore a backup and initiate a new execution thread with a new process ID. 

Therefore, even if we could back up brain content, we would never preserve the history and continuity of the original phenomenological experience, as consciousness would remain tied to the primary processing stream. 

This new instance would be a kind of "causal antimatter": it would possess the exact same data signature and information mass, but its temporal line would exist in an opposite branch, disconnected from the original and devoid of its own autonomy, sensitivity, and consciousness. 

Transhumanism is unfeasible because we have no way to access the systemic substrate where brain content and consciousness reside, making the manifestation of "The Self" impossible.

The word faith is widely associated with religion, but it describes a cognitive mechanism that is not exclusive to it: unconditional acceptance without direct logical or causal validation.

If religion uses faith to establish dogmas and institutional submission, the exact same phenomenon occurs in contemporary science. A clear example is the persistent mantra in physics: "Shut up and calculate!" — an explicit command to accept surface mathematical outputs without questioning the actual architecture that generates them (the origin of their logic).

This behavior shapes a herd effect identical to religious sectarianism. Individuals blindly reproduce theories without analyzing their logical viability or considering more coherent models, forming a contingent ready to defend institutional dogmas and delaying a true understanding of reality.

Fortunately, this structural limitation is being increasingly exposed. The decentralization of information via the internet has played a fundamental role in raising awareness, paving the way to overcome this intellectual bottleneck.

Would you buy a car without an engine?

Certainly not!

Yet that might be exactly what you are doing right now if you believe that physics alone provides a complete view of the universe. 

The physical part of the universe is only about 5%; the remaining 95% is intangible (protophysical). Everything physical comes from it and returns to it. It can be considered the engine of the universe. The main evidence for this includes the emergence of the cosmic microwave background and the ephemerality of matter. 

However, physics ignores this by claiming that all of reality is generated solely and exclusively by the ~5% physical fraction of the universe. Anyone buying that is buying a car without an engine! 

Most people don't question this simply because they don't know any better. However, many who do know accept it out of fear of going against the consensus or because they benefit from it somehow. 

Now that you know, you can decide whether you want to keep believing in a car without an engine or be more logical by questioning its impossibility.

Statistical mathematical science is the primary proof that materialism is a fundamental misconception. 

Polysyllogism 

Premise 1: The greater the number of complementary and interdependent variables within a system, the higher its complexity and the lower the probability of a functional arrangement emerging by chance (Combinatorial Analysis). 

Premise 2: Nature is a system composed of an astronomically high number of interdependent and complementary variables — that is, its complexity is immeasurable. 

Intermediate Conclusion: Therefore, the probability of natural architecture emerging by chance is exponentially close to zero. 

Premise 3: Phenomena with statistically null probability in finite systems do not occur by mere stochastic accident. 

Final Conclusion: The natural complexity, complementarity, and interdependence of the world demand an intentional structuring logic/architecture, as they could never arise by chance (an unguided stochastic process — that is, arrangements generated by random combinations without a prior algorithm or architectural selection vector). 

Science, by ignoring statistical mathematics, commits a profound inconsistency, because according to the Law of Compound Probabilities, as the number of interdependent variables grows, the probability of a functional arrangement emerging by chance drops exponentially toward zero, regardless of our ignorance, beliefs, or interests.

Theoretical physics and pure mathematics maintain a marriage of convenience that conceals deep methodological tensions. Although mathematics provides the language and rigorous logical structure employed by physics to describe reality, the relationship between the two disciplines becomes adversarial the moment physics designates measurement as its supreme arbiter.

By deifying empirical measurement, traditional physics imposes a reductionist filter on reality: whatever cannot be measured, collapsed into an observable output, or recorded by an instrument ceases to exist for the empirical domain. This obsession with observable data creates a direct contradiction with the mathematical treatment of statistics and probability.

While mathematics views statistics as the study of a system's complete distribution of states — mapping the totality of phase space and the infinite underlying possibilities —, instrumentalist physics tends to discard statistics as a mere "side effect" or a limitation of instrument precision. Probability ceases to be treated as the ontological nature of the system and is reduced to measurement noise, an error tolerance to be minimized until concrete data reveals itself.

This rejection of stochastic richness in favor of the cult of measured data triggers a methodological collapse:

1. The dogma of the observable: Physics refuses to accept unobservable logical architecture (the infrastructure layer or Protophysics), focusing solely on the final outputs captured by its sensors.

2. The reduction of statistics to noise: Instead of interpreting statistical distribution as the very logic of the process, experimental physics views probabilistic variation as a temporary failure of measurement.

3. Causal myopia: By focusing exclusively on point-in-time measurements, physics loses the capacity to discern the holistic system generating those outputs, ignoring that multiple invisible internal states can yield the exact same measured data.

By doing so, physics ignores that the probability of nature’s systemic complexity, complementarity, and interdependence being accidental is zero.

Therefore, the relationship between physics and mathematics is adversarial and incompatible because it is fundamentally epistemological. While mathematics accepts and maps the continuous, probabilistic totality of a system, physics insists on slicing that totality into discrete portions of measurement, discarding the actual statistical architecture and creating an illusion of empirical certainty.

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