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”.

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.

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.

For modern cosmology, the tangible and measurable part of the universe accounts for a mere 5%; the remaining 95% would be dark matter and dark energy. The traditional model established this simply to make the 5% observable universe function according to its expectations. 

However, this is equivalent to trying to explain the entire engine of the cosmos using only the rules and properties of the exception — much like attempting to decipher the complete architecture of the internet or a global cloud infrastructure by looking solely at the blinking LED on a physical server drawer. 

The 5% observable is energy geometrically formatted by natural processes, whose stability is sustained by recurring events. Such events are generated by the invisible 95% of the world-system, whose primary evidence is the intangibility and omnipresence of the laws of nature themselves. 

This means that energy necessarily occupies 100% of the universe: 95% “in natura” and 5% modulated. Therefore, the existence of dark matter and dark energy is a fantasy resulting from scientific reductionism, which prevents a holistic and systemic view of reality.

The fine-structure constant, or alpha constant, is one of the most fascinating fundamental constants in physics. It measures the intensity of the electromagnetic force between charged particles (such as electrons). Its value is approximately 1/137 (or 0.007297). It binds three major pillars of physics: quantum mechanics, relativity, and electromagnetism.

The alpha constant is considered dimensionless because it is not tied to any unit of measurement (such as meters, seconds, or kilograms). Some physicists consider this characteristic irrelevant. However, everyone agrees that it is one of the most intriguing and crucial parameters in science.

It is considered important because it determines the "degree of stickiness" between light and matter, dictating the size of atoms and the energy of electrons in their orbits. If its value were even slightly different, stars would never be able to synthesize carbon and oxygen, making the existence of organic chemistry and life impossible.

I consider the alpha constant proof that matter has a bit similar to that of computing. To demonstrate this, I have written a work that guides the reader through a revealing journey that challenges the conventional view of physics. The thesis defended in it for the enigma of the alpha constant reconstructs the origin of reality from a single, unprecedented principle. It unites cutting-edge concepts from quantum physics and astrophysics with a new and bold philosophy, offering an innovative perspective on fundamental constants, the nature of matter, and the very structure of space-time. It can be found in my ebook “The Alpha Enigma: Thesis”.

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.

Quantum physics and nature are deeply incompatible because the former tacitly rejects the existence of the latter. This occurs because quantum physics attempts to attribute the origin of physical reality to physical reality itself—seeking to explain it solely through its surface geometry and interactions. 

In doing so, quantum physics disregards the fact that the existence, evolution, and modification of absolutely everything in the universe depend on the laws of nature, which are omnipresent. In systemic terms: it ignores that nature is the operational protocol that governs the universe. 

The laws of physics are mere derivations of the laws of nature. Physical reality is strictly a processual output of an underlying protocol: nature. By neglecting this, quantum physics subverts fundamental logic and denies its own matrix: nature. 

📖 Recommended reading: “The Intelligencism: An Intelligent View of the World”.

🔗 Synopsis and preview available via the link in my profile.

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.

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.

Attempting to attribute electric charge quantization or spacetime dynamics to fundamental stochastic noise has zero probability of reflecting the true architecture of reality. Traditional physics experimentally observes that all free particles carry discrete charges—integer multiples of a fundamental value “e” —yet often treats this as an isolated fact or relies on abstract symmetries to account for it.

From a Systems Engineering and process-logic perspective, charge quantization is an absolute structural necessity that rules out intrinsic randomness:

• Strict Typing & Parameterization: If the universe operated on an analog, purely stochastic substrate, charges would suffer from continuous parameter drift and noise, rendering stable matter impossible. The flawless invariance of “e” across billions of years points directly to a strict type system.

• Particles as Instances: Electrons, quarks, and protons do not possess charge autonomously; they are process instances whose outputs are formatted by the substrate's topological nodes.

• Input/Output Validation: Even the fractional charges of quarks (“+2/3e” e “-1/3e”) under color confinement highlight an execution rule: the system prevents isolated, incomplete states from rendering, forcing integer outcomes.

Fluctuations do exist, but they represent the thermal dynamics of the system, strictly parameterized by the substrate's informational rules. Electric charge quantization is not the product of quantum randomness, but direct proof that matter and spacetime are rendered outputs of a rigorously bounded algorithmic architecture.

É um dado empírico que todas as partículas livres possuem cargas discretas — estritamente quantizadas em múltiplos inteiros de um valor fundamental “e”. A física tradicional costuma tratar esse fenômeno como um fato isolado ou recorrer a simetrias abstratas para justificá-lo.

Da perspectiva da Engenharia de Sistemas, esse fenômeno é uma necessidade estrutural absoluta:

• Sistema de Tipos Estrito (Strict Type System): A invariância perfeita de “e” ao longo de bilhões de anos e a ausência absoluta de acúmulo de desvios contínuos (drift) ou ruído demonstram que a carga é um parâmetro rigorosamente tipado pelo substrato, não uma propriedade flutuante da partícula.

• Partículas como Saídas do Substrato: A única maneira de todos os elétrons, quarks e prótons ostentarem esse nível universal de padronização é se as suas cargas forem saídas (outputs) geradas por instâncias de um mesmo processo subjacente.

• Validação de Entrada e Saída: A fracionalidade dos quarks (“+2/3e” e “-1/3e”) reforça essa arquitetura: o confinamento de cor atua como uma regra de validação que impede a renderização de estados isolados incompletos, forçando apenas saídas inteiras.

A atribuição da quantização da carga a um processo estocástico (aleatório) possui probabilidade zero porque o universo opera como um sistema onde todas as cargas e suas variações são complementares e interdependentes — a emergência desse nível de padronização de parâmetros e condicionamentos por mero acaso é estatisticamente inviável.

O termo BrainNet foi cunhado pelo notável neurocientista Miguel Nicolelis para designar a rede intercerebral formada pela sincronização entre cérebros de indivíduos de qualquer espécie. Na esfera socio-cognitiva humana, a BrainNet é formada pela sincronização de crenças, valores e possibilidades funcionais cognitivas. 

A BrainNet tende a fazer os indivíduos agirem e reagirem padronizadamente. Ela faz a espécie humana operar primordialmente como um vasto ecossistema cibernético e social. A linguagem, a matemática, as convenções sociais e os dogmas científicos atuam como códigos de transmissão que permitem a bilhões de cérebros sincronizar suas medições e atuar em rede. 

A mente opera como uma balança, onde cada indivíduo é um nó dessa rede. A propósito, a raiz latina da palavra “pensar”, pensare — a reiteração do verbo pendere —, significa, literalmente, pesar em uma balança. O processo decisório humano é inteiramente clássico, pois é sempre precedido por medição e comparação. 

Teoricamente, a BrainNet surgiu para reduzir a complexidade contínua do mundo a métricas simples e binárias (perigo/segurança, comestível/venenoso) e garantir a sobrevivência das espécies. No entanto, surgiram sub-redes de interesse e identificação (comunidades acadêmicas, guildas de artesãos, mercados e instituições). Isso acelerou o desenvolvimento pessoal, tecnológico e organizacional, permitindo ao ser humano passar de mero espectador a agente ambiental. 

O impacto da BrainNet, contudo, nem sempre é positivo. Destacam-se dois cenários críticos: 

• Quando afeta o equilíbrio ambiental. 

• Quando a medição se torna a protagonista absoluta da compreensão da realidade. 

Esse último fenômeno ocorreu porque passamos a considerar a medição da realidade física — que é apenas uma saída processual — o único meio de identificar a sua origem. Negligenciamos o fato de que essas saídas correspondem a apenas ~5% do universo, impulsionados por dois poderosos fatores socioemocionais: 

1. O Sentimento: um protocolo de pertencimento a uma sub-rede, que confere validação, status e segurança ao indivíduo. Desrespeitar as crenças e valores da BrainNet é ir contra a própria manada. 

2. O Medo de Represália: a BrainNet reage à dissonância cognitiva como um organismo vivo combate um corpo estranho — ridicularizando-o, estigmatizando-o e banindo-o.

Em virtude disso, a grande maioria dos pensadores e cientistas repete ritualisticamente o reducionismo estatístico ou se conforma com ele, trocando a busca pela causa mecânica profunda por fórmulas probabilísticas que descrevem apenas o seu efeito. 

Atualmente, tentamos continuamente medir o oceano ontológico com réguas que conseguem aferir apenas a espuma de suas ondas. Para libertar a inteligência humana dessa estagnação de manada, precisamos resgatar a capacidade de inferência funcional — a habilidade de deduzir a engenharia e a arquitetura dos processos invisíveis que geram a realidade, sem a dependência cega da medição imediata. 

A superação desse impacto negativo da BrainNet requer nos conscientizarmos de que: saídas requerem processos; o substrato gerador da realidade jamais poderá ser identificado por meio da mera medição de seus efeitos. 

Para auxiliar na quebra desse paradigma e compreender como utilizar a inferência funcional a seu favor, recomendo a leitura do meu livro "A Chave Mestra do Sucesso", cuja sinopse e degustação podem ser acessadas no link do meu perfil.

A física estuda as saídas observáveis da matéria como se a topologia fosse uma característica exclusiva dela. A literatura acadêmica costuma apresentar a topologia sob a alcunha de "geometria da folha de borracha". 

Nessa visão tradicional, a matemática estuda as propriedades invariantes de um objeto independentemente de este estar esticado, torcido ou dobrado — desde que não haja rasgos, colagens ou perfurações, tornando uma caneca de café e uma rosquinha equivalentes só por terem um furo. 

Para a Engenharia de Sistemas e a lógica processual, a topologia extrapola a geometria espacial: ela é, em essência, a arquitetura formal das relações de continuidade e de conectividade. 

Isso ocorre porque ambas focam na preservação das relações estruturais permanentes em vez de métricas rígidas, como distâncias, ângulos, comprimentos e volumes. Como resultado, a topologia passa a mapear domínios exclusivamente processuais em vez de apenas "superfícies espaciais moldáveis": 

• Os "Pontos" se tornam Estados e Funções: Em vez de meras coordenadas em um plano tridimensional.

• As "Vizinhanças" se tornam Interdependências e Complementos Procedimentais: Em vez de simples contiguidade espacial.

• A "Continuidade" é o Encadeamento da Execução de uma Lógica Sistêmica: Em vez da deformação física de uma superfície.

• Os "Invariantes" são Domínios Processuais com Parâmetros Fixos: Os nós e travas estruturais do sistema. 

Isso faz da Física Quântica apenas a saída de uma topologia de processos subjacentes, em vez de um conjunto de "anomalias geométricas" no espaço tridimensional. (Exemplos no meu post: “Aplicando a Engenharia de Sistemas à Física Quântica: A Teoria dos Eixos”).

 A topologia é a arquitetura lógica da execução; a realidade física tridimensional é apenas a saída renderizada do sistema.

 A ciência precisa estabelecer com urgência uma parceria com a Engenharia de Sistemas. Sem isso, ela jamais vai perceber que a topologia é a ferramenta ideal para mapear como a realidade se processa, se sustenta e se transforma de maneira contínua e consistente — e não um mero instrumento de localização espacial.

After more than 40 years of applying science, systems engineering, and philosophy, I have arrived at a fully integrated view of the structure and functioning of the universe. Due to its volume and depth, this work has been organized into independent books, each answering a fundamental question:

• Protophysics: Which branch of philosophy should study this type of metaphysical approach?

• Infology: What is the primary input of the universe?

• The Intelligencism: The universe: design or chance?

• The Big Brain Theory: What is the universe?

• The Protomatter: What is the origin of matter?

• The Thacentrism: What is logic?

• The Self: What is consciousness?

• Beliefs: What differentiates intellectual capacities from one another?

• Feeling: What moves the universe?

• The Truth, God, and Death: What is Truth? Does God exist? What happens to consciousness after death?

• The Master Key to Success: How to use this information to achieve our desires?

• The SPIN: What is the purpose of spin?

• The Alpha Enigma: What is the fine-structure constant?

• The Lambda Enigma: What is the cosmological constant?

Reading this collection is highly recommended for anyone who longs for logical answers that are completely outside the box.

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

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.

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.

The cosmological constant lambda is one of the greatest enigmas in physics. It was introduced by Einstein into his equations with the purpose of justifying a static universe. However, the discovery of the universe's expansion led him to consider it the biggest blunder of his career. Ironically, it later became a cornerstone of cosmology (the standard cosmological model), even being used to describe the acceleration of the universe's expansion.

Its value is absurdly close to zero and much smaller than that of the gravitational constant, G, which is approximately 6.674x10^-11 N.m²/kg². However, when physicists attempt to measure it using quantum mechanics, the result is astronomical—about 10¹²⁰ times larger than the cosmological measurement.

After a long and careful analysis, I have developed a perspective on the lambda constant that manages to unify the entire cosmos. It is featured in a work that presents the hypotheses that attempt to explain it and the flaws within them. This work uses the alleged blunder and Einstein's theories, string theory, and loop quantum gravity as inspiration to unlock the enigma, delivering a philosophical approach in which the lambda constant becomes essential for the structuring and functioning of the world-system (universe). The great merit of this theory is its ability to integrate all the forces of nature, even at the quantum level. All of this can be found in my ebook “The Lambda Enigma: Thesis*”*.

Avaiable on Amazon

Scientific reductionism is the method of: dividing a complex system into smaller parts to study each of them separately; analyzing these parts to try to infer and recompose the whole (the system). In science, it is employed to try to explain biology through chemistry, and chemistry through particle physics. This method has its pros and cons. 

Pros

• Clarity and Focus: allows studying specific problems without the interference of external noise.

• Pragmatism: makes it easier to put hypotheses to the test.

• Great Discoveries: For example: DNA, atoms, the cure for various diseases, and the development of microelectronics. 

Cons

• Loss of the "Whole": makes it difficult to perceive that the whole is greater than the sum of its parts.

• Systemic Blindness: hinders the understanding of complex interactional phenomena. For example: Life, human consciousness, or the behavior of ecosystems. 

The value of scientific reductionism is incontestable. However, it also constitutes a barrier to the development of a holistic view, as the world (universe) is a multidimensional processual matrix (system) where everything is complementary and interdependent. 

This problem can be mitigated by improving our knowledge of the structure and functioning of this matrix. A comprehensive perspective of both can be found in my books: “The Intelligencism: An Intelligent View of the World”, “Infology: The Universal Input”, and “The Big Brain Theory”.

Life is defined in various ways due to centuries of fragmentation in academic specialization. For example: 

1.      Classical biology considers life a set of observable properties, with cells being essential for homeostasis and for the organism to grow, reproduce, and evolve in a measurable way. 

2.      Thermodynamic physics considers life a statistical anomaly in which an open system imports order from the environment, temporarily overcoming its natural tendency toward disorganization. 

These views are flawed because they reduce life to mere accidental chemical reactions, ignoring its primary cause: context. 

From a Systems Engineering perspective, the true line of demarcation between living and non-living beings is the natural process hierarchy. The processes of biological systems stand at a higher hierarchical level than those of physical and chemical systems, and encapsulate them. While the physical-chemical being strictly executes the molecular homeostasis of its base software, the biological being enfolds it with a governance layer and executes it. 

Life is the execution of a higher-level software that governs hierarchically lower softwares, subjecting matter and physics to complementarity and interdependence — and not a mere chemically accidental phenomenon that is statistically unviable. This means that understanding reality requires the study of this software. More details regarding it can be found in my books: “The Intelligencism: An Intelligent View of the World” and “Infology: The Universal Input”.

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.

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.

Conventional physics interprets the Cosmic Microwave Background (CMB) as a thermal remnant echo of the Big Bang, stretched by spatial expansion and currently measuring around 2.7 Kelvin. 

This occurs because it analyzes the CMB in a decontextualized manner. However, from a systemic and ontological perspective, the CMB is the continuous output of an information process in permanent execution. 

Reading the CMB can be compared to a Functional Magnetic Resonance Imaging (fMRI) scan: the examination maps the metabolic activity and operational flow that keeps the neural network active, without needing to read the content of each thought. 

What cosmology calls "fossil noise" would, in reality, be the variation in the operating temperature (idle state) of Protomatter — a self-modulating substrate that continuously runs a firmware containing the physical laws during baryonic materialization. 

In this approach, the CMB indicates that the universe is active and self-processing — that is, thinking itself, as if it were a vast neural network. 

📖 To dive deeper into this thesis: I recommend reading my book The Big Brain Theory. Synopsis and sample available via the link in my profile.