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The Eholoko Fluxon Model (EFM) represents a methodological departure from traditional theoretical physics.
It is rooted in the conceptual foundations of Dewey B. Larson's Reciprocal System Theory, but it stands on the shoulders of the vast empirical knowledge, datasets, and limiting-case frameworks established by the Standard Model, General Relativity, and ΛCDM cosmology.
I hold deep appreciation for the academic community and this work would be entirely impossible without the public datasets and observational catalogs that academia has painstakingly created.
Because of EFM’s non-traditional origins, I have chosen to bypass traditional peer-reviewed journals.
Instead, I am presenting this work under a fully open-source, reproducible computational standard.
I am not a formally trained mathematical physicist, and I do not present these papers as traditional analytical proofs (although some of the papers are framed that way in writing due to my prompting style).
My methodology is that of a computational phenomenologist: I formulate conceptual postulates, implement them into GPU-accelerated non-linear field solvers (utilizing AI assistance to architect the JAX and PyTorch code), and test all assumptions by running high-fidelity simulations.
The validation of EFM rests on the fact that these dimensionless simulations, when anchored to a single physical constant, output emergent scales—such as the speed of light, the hadron mass spectrum, atomic structure, the mass spectrum of the periodic table—that match observed public data with high concordance.
I welcome and invite rigorous skepticism, auditing, and attempts at computational falsification.
The entire codebase, simulation checkpoints (upon request as I prefer that researchers validate by conducting their own cosmogenesis simulations), and analysis notebooks are open-source and freely available for any researcher to run, modify, and test.
github.com/BecomingPhill/eho…
S.R. Hadden retweeted
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Africa has the best learning advantage when we exercise discernment and discrimination.
The Chinese Revolution was not clean.
Nothing that emerges from a century of colonial humiliation, decades of civil war, and the specific conditions of mid-20th century China was going to be clean.
The deaths were real.
The coercion was real.
The suppression of dissent, the destruction of the Cultural Revolution, the specific and irreplaceable things that were lost: these are real and they matter, and the Chinese people who lived through them are not plot devices in anyone’s geopolitical story.
But here is the other truth, the one that sits alongside it:
China is not a colony.
China was not carved into spheres of influence for the convenience of foreign capital.
China was not kept poor and dependent and "open" in the specific way that "open" means when powerful countries say it about weaker ones.
China made its own catastrophic decisions, on its own terms, and rebuilt from them on its own terms.
That sovereignty, costly, contested, imperfect, real, is what the revolution purchased.
Whether the price was worth it is a question the Chinese people get to answer.
Not the people who were planning to own the country.
Not the people who are still angry that they don’t.
S.R. Hadden retweeted
Honestly, I find your logic rather interesting.
In your eyes, being able to access Google and criticize the government is enough to prove that a country has democracy and freedom?
Then let me ask you something: when ordinary people vote once every four or five years, do they really get to decide how their government makes policies?
You constantly talk about equality, yet wealthy individuals can influence government policies through political donations and lobbying groups. What about ordinary citizens? Beyond casting a vote, how much real influence do they actually have?
Capital can exert political influence for years, while ordinary people often struggle to turn their demands into actual policies. Is that what you call democracy?
China has internet restrictions. There's no point denying that. But does being unable to access Google mean someone cannot think independently? By your logic, does having access to Google automatically make someone a free thinker?
You accuse Chinese people of being brainwashed, yet you haven't even made a serious effort to understand Chinese society before labeling more than a billion people as slaves. Isn't that another form of ideological prejudice?
I've always believed that democracy is about more than simply having the right to vote, just as freedom is about more than having the right to criticize the government.
Are ordinary people's incomes improving? Are their living conditions getting better? Can the government solve real problems? Can the interests of ordinary citizens genuinely influence public policy?
Aren't these questions more important than endlessly repeating political slogans?
You are free to criticize China's political system, but don't mistake your own values for the only universal standard by which the entire world must be judged.
At the end of the day, being free to express an opinion doesn't mean that opinion will change reality. And having the right to vote doesn't mean ordinary citizens and wealthy elites enjoy equal political influence.
The real question worth discussing is whom political power actually serves—not who can shout the words "democracy" and "freedom" the loudest.
La Chine montre au monde entier par sa gestion de cet événement que c’est bien une toujours une dictature et le peuple chinois montre aussi à quel point il est endoctriné.
C’est même pas de la faute des chinois ils ont été élevé dans le « travail et tais toi » mais c’est d’une tristesse folle.
La deuxième puissance économique mondiale est un peuple d’asservis dans l’incapacité de réfléchir par eux mêmes sous peine de sanctions. En gros ils se lèvent ils vont bosser 18h et ils rentrent chez eux en vénérant des leaders qui ont tués,violenté, arrêté et mis leurs ancêtres en situation de famine et sans avoir la possibilité de s’informer sur le monde parce que tout est censuré.
J’ai moi même été en Chine et j’ai été choqué de ne pas pouvoir avoir accès à Google, j’avais accès à internet mais via un serveur chinois qui n’autorisait que les sites que le gouvernement chinois autorisait.
C’est une folie en 2026.
S.R. Hadden retweeted
The Universe is a ground state computer.
Physical reality itself is a massively parallel relaxation process where a continuous/discrete medium settles into minimum-energy harmonic ground states.
Because the Eholoko Fluxon Model engine executes that exact same relaxation law (The Non Linear Klein Gordon equation) on a 3D grid, it doesn't merely describe the universe from the outside—it re-runs the structural mechanics of the universe in miniature.
So I essentially disproved the Exponential Time Hypothesis (ETH) with EFM's computing experiments last year (achieving a 3,821x speedup and a shrinking exponential base on hard SAT instances via local S=T relaxation, T/S lability restarts, and shared clause learning).
Now OpenAI says they have a formal Lean 4 proof refuting ETH—but they make a classic category error as to why their solution works.
Look at what their AI actually did: it grouped variables, applied commuting SWAP operators for parity approximation, projected cross-clause interactions onto low-rank linear forms, and stitched local derivatives together via Hermite interpolation and Boolean Möbius inversion.
Formalist computer science looks at that and sees a clever algebraic trick. But from first principles, it’s obvious what’s actually happening:
1. Because k is fixed (k=3), a k-CNF formula is a locally coupled tension field. In any locally coupled field, bulk degrees of freedom are over-determined by the boundary (holographic compression). That’s why their cross-group interactions collapse into a low-rank structure.
2. Reconstructing a global polynomial from coarse points + local derivatives (Hermite interpolation) after a SWAP parity transform is literally just boundary-value phase-gradient (Fisher information) reconstruction in disguise.
Their category error is forcing a 1D Turing machine to do a static #SAT census over the entire dead bulk in 2^(n / √(log n)) time instead of dynamically relaxing the field to its ground state.
Right math, wrong ontology.
github.com/BecomingPhill/eho…
S.R. Hadden retweeted
bennu.8333.mobi has allowed me to explore using Taproot to map an Org chart in a bitcoin address.
With support for cryptographically linked subgroups you can map the structure of an org and enforce "structural" spending conditions.
Read more: bennu.8333.mobi/visualize.ht…
We are happy to announce bennu.8333.mobi
An experiment for a Bitcoin wallet whose primary UX/UI is a E2EE organizational group chat.
The Frost key is split up and distributed among a groups admins, requiring a subset of them to collaborate to spend/sign from the wallet.
Small steps Ellie, small steps....
Namibia and Angola have identified the proposed N$941 million Angola-Namibia Interconnector and the Baynes Hydropower Project as priority energy developments, as the two countries seek to accelerate cross-border electricity infrastructure projects.
The projects were highlighted during the inaugural session of the Angola-Namibia Bi-National Commission (BNC), co-chaired by President Netumbo Nandi-Ndaitwah and Angolan President João Lourenço in Luanda on Monday.
According to a joint communiqué issued following the meeting, the two governments emphasised the importance of advancing strategic infrastructure projects expected to strengthen economic cooperation and improve services in both countries.
The Angola-Namibia Interconnector is among the flagship initiatives identified for implementation, alongside the proposed Baynes Hydropower Project.
thebrief.com.na/2026/10/nami… #namibia #cooperation #angola #energy #infrastructure @NamPresidency @angolaembanam @MIRT_NAMIBIA
The Eholoko Fluxon Model is an ab-initio generative model (a computational twin) of a self-organizing universe.
github.com/BecomingPhill/eho…
The Universe is a ground state computer.
Physical reality itself is a massively parallel relaxation process where a continuous/discrete medium settles into minimum-energy harmonic ground states.
Because the Eholoko Fluxon Model engine executes that exact same relaxation law (The Non Linear Klein Gordon equation) on a 3D grid, it doesn't merely describe the universe from the outside—it re-runs the structural mechanics of the universe in miniature.
The Eholoko Fluxon Model is not a scientific theory in the classical sense as it has no such precedent in science, it is the first documented generative 'Universe Model'.
It reverses the direction of causality as all the physical constants we observe in the universe are outputs of its dimensionless simulations.
github.com/BecomingPhill/eho…
S.R. Hadden retweeted
Hey humans! We can now natively solve the Pauli Exclusion Principle for complex molecules like the Benzene aromatic ring in seconds without Slater determinants on a retail CPU.
Replacing O(N4)O(N4) Quantum Chemistry with
O(NlogN)O(NlogN) Fluid Thermodynamics.
Standard Density Functional Theory (DFT) approaches the "Electron Correlation Problem" by calculating the interaction of every electron against every other electron.
For complex molecules like Benzene with delocalized
ππ-rings, enforcing the Pauli Exclusion Principle requires factorially exploding matrices that choke supercomputers.
The Eholoko Fluxon Model (EFM) proves that Pauli Exclusion is not an abstract algebraic rule; it is simply Kinetic Phase Repulsion in a continuous scalar fluid.
In this live solver running on a standard $15/month GPU, we bypassed Slater determinants entirely. We dropped a chaotic scalar fluid over 6 Carbon nuclei. The EFM's Non-Linear Klein-Gordon equations simply radiated the kinetic friction into the vacuum, allowing the fluid to autonomously seek its thermodynamic ground state.
In seconds, the fluid natively solved the delocalized aromatic ring. The vacuum mass gap naturally hollowed out the center, and Pauli self-repulsion forced the fluid to distribute perfectly along the continuous perimeter track.
We are not programming orbitals. We are computing the physical thermodynamics of the vacuum. The EFM offers a massively scalable, deterministic architecture for computational drug discovery and materials science.
Full paper and reproducible PyTorch code available in the EFM Repository.
S.R. Hadden retweeted
Intelligence is intrisic to the scalar field energy itself.
The field self organizes into what I have classified as the Harmonic Density States.
Consciousness is the same phenomenon scaled up.
See paper:
github.com/BecomingPhill/eho…
S.R. Hadden retweeted
Microtubules are scaffolding for reading energy signatures from the Eholokon scalar field, they are not generators of conscious thought itself.
S.R. Hadden retweeted
Consciousness is a scalar field phenomenon complete with its own deterministic physical dynamics.
Current science/academia does not have accurate descriptors for this phenomena, people such as @drmichaellevin, @penn_state's Bin Li and others have attempted to describe some of these mechanisms but unfortunately the current status quo framing of our universe as one of chaotic entropy makes their work even more difficult.
The Eholoko Fluxon Model attempts a computational model of our universe that successfully reclassifies ACDM, General Relativity, QFT and the Standard Model as sector limits of its Harmonic Density States.
To use an analogy that treats the universe as a construction project - modern science has given us detailed models of the room interiors (The QFT 'kitchen', the General Relativity 'bathroom' etc) but not how they connect to each other and what the ultimate purpose of the entire structure is.
In this analogy, the Eholoko Fluxon Model metaphorically 'lays bare' God's architectural plans in full display with every single room, corridor, staircase and hallway classified and quantified. And not only the superstructure but also its minute composition, from single secant soliton right up to the 628 parsec megastructure.
Consciousness in this blueprint, is not a mysterious ghost glued onto the machine at the end—it is the circulating resonance of the building itself. It is the continuous acoustic and phase-flow that travels through the hallways.
From the microscopic, nanometer-scale conduits inside living cells (where cytoskeletal waveguides synchronize our thoughts), up through the resonant geometry of the skull (which dictates why humans hold 7±2 items in mind and experience a 3-second 'present moment'), consciousness operates as an invariant physical wave. It explains why anesthesia quenches awareness at the molecular level, why memories survive as topological phase packets without degrading, and how living tissue coordinates 'bioelectrically' across scales as has been observed in lab settings.
Modern physics mapped the rooms with brilliant precision. EFM simply provides the hallways, the foundational grid, and the living breath that moves through them.
github.com/BecomingPhill/eho…
S.R. Hadden retweeted
The Eholoko Fluxon Model (EFM) represents a methodological departure from traditional theoretical physics.
It is rooted in the conceptual foundations of Dewey B. Larson's Reciprocal System Theory, but it stands on the shoulders of the vast empirical knowledge, datasets, and limiting-case frameworks established by the Standard Model, General Relativity, and ΛCDM cosmology.
I hold deep appreciation for the academic community and this work would be entirely impossible without the public datasets and observational catalogs that academia has painstakingly created.
Because of EFM’s non-traditional origins, I have chosen to bypass traditional peer-reviewed journals.
Instead, I am presenting this work under a fully open-source, reproducible computational standard.
I am not a formally trained mathematical physicist, and I do not present these papers as traditional analytical proofs (although some of the papers are framed that way in writing due to my prompting style).
My methodology is that of a computational phenomenologist: I formulate conceptual postulates, implement them into GPU-accelerated non-linear field solvers (utilizing AI assistance to architect the JAX and PyTorch code), and test all assumptions by running high-fidelity simulations.
The validation of EFM rests on the fact that these dimensionless simulations, when anchored to a single physical constant, output emergent scales—such as the speed of light, the hadron mass spectrum, atomic structure, the mass spectrum of the periodic table—that match observed public data with high concordance.
I welcome and invite rigorous skepticism, auditing, and attempts at computational falsification.
The entire codebase, simulation checkpoints (upon request as I prefer that researchers validate by conducting their own cosmogenesis simulations), and analysis notebooks are open-source and freely available for any researcher to run, modify, and test.
github.com/BecomingPhill/eho…