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Parmenides on Being: that which is (τὸ ἐόν)

English summary. A short reflection, written as a study exercise, on a few lines of Parmenides’ poem On Nature (DK fr. 8, vv. 6–11), in which the goddess rules out that what-is (τὸ ἐόν) could ever have come into being. The lines are read both exegetically and, in modern terms, as early uses of principles we now call non-contradiction, excluded middle and sufficient reason, against the background of the Eleatic challenge to earlier cosmogonies. The full text is in Italian.


[1a] [riguardo all’essere, (τὸ ἐόν)] quale sua nascita cercherai?
[1b, c] Come, da dove può essere cresciuto?
[2] Da ciò che non è non te lo lascerò
né dire né pensare, [2a] perché non è dicibile
né pensabile che non sia.
[3] [Inoltre] Quale necessità lo avrebbe indotto
a generarsi dopo piuttosto che prima, avendo inizio da ciò che non è?
[4] [Conclusione] È così necessario che o esista in assoluto oppure non esista del tutto.


La visione di Parmenide si pone in contrasto con le cosmogonie dei pensatori detti presocratici. Questi versi sono parte del poema nel quale egli riporta come racconto di una dea la via alla verità (aletheia). Questa rivelazione è fondata sul logos, la razionalità che spinge agli estremi la logica interpretativa, diversamente dall’esperienza che viene ingannata dai sensi. Il soggetto sottinteso del frammento è ciò che è (τὸ ἐόν), considerato da Parmenide: ingenerato, eterno, immobile, unico e finito; così dalla dea ne sono definiti gli attributi -che chiama indizi (semata)- al kouros/Parmenide, alcuni precisati nel frammento riportato.

Si possono distinguere due possibili tipologie di argomentazioni nel frammento citato: quelle esegetiche legate più strettamente al testo e quelle legate al logos [*] e alla massima coerenza razionale (i primi passi di una nuova disciplina), espresse in termini ‘moderni’.
[1a,b,c] L’indagine sull’essere potrebbe iniziare dalla sua nascita e crescita, così farebbe una cosmogonia.
[2] Ma la dea (ovvero il logos) non consente al kouros di pensare e di dire che ciò che è possa derivare da ciò che non è, perché pensando ciò che non è per poterne parlare lo si tratterebbe come qualcosa che è [2a] quindi per coerenza razionale questo è non dicibile né pensabile.
Viene applicato un principio di non contraddizione [*].
[3] La domanda retorica evidenzia la mancanza della necessità per ciò che è di generarsi, dopo o prima, da ciò che non è, non solo per le ragioni del verso precedente ma anche per il suo non appartenere al tempo (precisato in versi successivi).
Si evidenzia anche la mancanza di una ragione sufficiente [*].
[4] La conclusione ricorda che la possibilità dell’esistenza è considerata binaria, quindi applica il principio del terzo escluso [*] e l’implicazione che ciò che è può solo essere, perchè è “necessario” che sia.
Quindi è una ragione sufficiente [*].

Da un punto di vista storico, tema del frammento è la ‘provocazione del logos‘, la razionalità. La cosiddetta sfida eleatica di Parmenide contro le cosmogonie, rispetto alle quali rappresenta uno ‘spartiacque’ del pensiero antico.
Le cosmogonie infatti non sono logicamente sostenibili perché passano dal ‘prima’ al ‘dopo’ senza una ragione sufficiente.

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AI as a Boltzmann brain: the illusion of knowledge cancelling the future

This reflection stems from a re-reading of my post on the Boltzmann Brain (see The Boltzmann Brain – an epistemological provocation). While the process today is evolving very rapidly, I believe it makes sense to analyze it from an evolutionary perspective.

The use of AI is certainly an effective support, but we must distinguish between contexts. Enhancing research within an environment of high-level expertise is one thing; using it to obtain basic answers by ‘the youth’ is quite another. The latter prevents the formation of a critical spirit and the necessary ‘fatigue of learning’. Without this granular foundation of skills, more complex elaborations become impossible.

Demographics are unforgiving. Soon, the figures trained on the fundamentals will disappear, replaced by those who never had to struggle to learn. Considering the ‘average’ person, it is easy to predict an immense cognitive impoverishment that will lead to the final decay of our civilization. Technology will remain standing, but without the updating of fundamental principles—the theoretical foundations upon which it is built—it will become obsolete and insufficient.
This is not just the fault of scientific research. The reasons why we still use fossil fuels, rare earth batteries, or nuclear fission do not depend solely on technical limits, but on choices of power that go beyond the official narrative.

I do not believe there is adequate awareness of the ‘toxic’ role of AI. The global project is clear: to create a ‘cerebrally’ undifferentiated anthropic mass, useful as a voting weight and workforce for as long as it costs less than machines. Indeed, I believe that ‘bipedal mammals’ are already cheaper than automation today, yet they are still endowed with a residual self-determination (really residual, as demonstrated during the Covid period).

There is also a parallel with religions. Religions do not have to be rational: the more unbelievable a story is, the more it is believed. They function very well because they provide ‘trusted’ answers, not true ones. No one wants the truth; people just want to be told they are not the only ones thinking something. Social platforms thrive on this. In the same way, AI algorithms provide the answers they ‘must’ provide, based on non-transparent priorities. I do not blame the software, which is just a statistical routine, nor do I blame those who write it. The Puppet Masters sit on the upper floors and manage the triggers.

How to save ourselves?
There is probably no salvation for us ‘standard bipeds’. But history teaches that civilizations always rise from their ashes, perhaps rediscovering a glorious past after centuries of oblivion. I trust in this cycle for humanity. In the meantime, I only hope that the time I have left “non mi sia grave” to borrow from Leopardi.

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Portrait of an epistemological stagnation

We have grown accustomed to being ‘subjected to’ scientific progress as if it were a triumphal and unstoppable march. We live surrounded by a pervasive technology that grants us the illusion of an ever-deepening knowledge of reality. Yet, if we look at the foundations of theoretical physics, the landscape that appears is one of a desolate epistemological stagnation.
For over fifty years, fundamental physics has failed to produce a true ontological revolution. We have confirmed theories born in the last century—such as the Higgs boson from the 1960s or Einstein’s gravitational waves from the beginning of the century, the only two true demonstrations of fundamental theories in recent decades—but we have not given birth to a single new idea that has been proven real (see What’s wrong with scientific research according to Sabine Hossenfelder). On the contrary, we have retreated into a sort of ‘maintenance of paradigms’ (in the Kuhnian sense), adding mathematical patches to models that no longer function (see Kuhn’s “The Structure of Scientific Revolutions” in a nutshell).

The Trap of the ‘Millennium Problem’

A perfect example of this drift is the celebrated Millennium Problem regarding the Navier-Stokes equations (see A pure mathematical version of the Clay Mathematics Institute’s Navier-Stokes Millennium Problem). We are asked to prove whether a ‘smooth’ (continuous) solution can explode into a mathematical singularity. But who does this research truly benefit?
There is a certain arrogance in demanding that the mathematics of the absolute continuum—a tool invented three hundred years ago—must be the faithful mirror of a reality we know to be intrinsically granular. Seeking regularity or singularity in Navier-Stokes is an exercise in the internal consistency of an axiomatic system, a ‘mathematical little game’ that adds nothing to our understanding of matter.
It is a restaging of the late 19th-century ultraviolet catastrophe: classical physics predicted the emission of infinite energy from a black body because it assumed energy was infinitely divisible. Max Planck did not ‘solve’ the calculation problem that diverged; he changed the logic, introducing the quantum of energy—a granular discretization (see Planck’s photon distribution function). Today, persisting in the search for regularity in continuous fluid dynamic models without accepting the logical (and physical) limits of that language is like trying to measure an atom with a ruler: the error is not in the mathematical calculation, but in the model adopted.

The Ptolemaic universe of dark matter

If Navier-Stokes is a dead end for brilliant minds, modern cosmology has become a triumph of epicycles. Kuhn taught us sixty years ago that when a paradigm enters a crisis, the scientific community does not abandon it immediately, but instead begins to ‘save’ it with ‘ad hoc’ hypotheses.
Thus, to make General Relativity equations square with a universe that moves differently than predicted, dark matter and dark energy were invented. We do not see them, we do not know what they are, and we do not understand their nature. They are ‘magical patches’ necessary to prop up models that we are unable to interpret. We are planning trips to Mars using a modernized Ptolemaic system, convinced that adding an invisible epicycle is nobler than admitting we have failed to understand the nature of gravity on a large scale (see Note for laymen – what is the dark matter?).

The Deception of Technological Progress

The common objection is: “How can you speak of stagnation when Artificial Intelligence and silicon dominate the world?”
Here lies the fundamental misunderstanding. Technology is not fundamental science; it is the exploitation of past discoveries. Computers are based on the quantum mechanics of the 1920s and 30s; our rockets on 19th-century thermodynamics. Technology is the engineering that refines the already known, but the theory upon which it is founded remains old—tremendously old. We are utilizing maps that ignore 95% of the territory, or that are incapable of observing it in its true reality.

The Tyranny of the ‘Barons’ and the veto of the paradigm

Why do we not move forward? Because knowledge has become a hostage to a feudal academic structure. The ‘Barons’ of the paradigm are slaves to their own careers and the consensus of the community. Risk is not funded. Anyone proposing a sensible cosmological model that does not include invisible ‘ghosts’ is isolated, denied publication, and stripped of funding.
The system prefers to distract superior minds by challenging them with inessential problems—like Navier-Stokes singularities or calculating the galactic halos of magical components—rather than facing the terrifying uncertainty of a paradigm shift. We are moving backward, not forward, because we have lost the ability to see the problem before calculating the solution.

Conclusion: seeing beyond the fence

Mathematics is indifferent to the survival of the solution, but we should not be. The task of research is not to balance the books of a useless abstraction, but to find the correct language to describe reality.
The result regarding the Navier-Stokes singularity will not change the empirical efficacy of the laws of dynamics. It would perhaps establish (with due respect to Gödel) whether the continuous model is a coherent language or if it is destined to succumb to its own abstraction.
The true challenge is having the courage to admit that our reference models do not describe reality, and that it is necessary to explore new descriptions of nature beyond a “déjà vu that simply ‘does not work’ (by the very admission of those who continue to support it).
While waiting for a visionary genius to find a better description of reality, we could, in the meantime, make room for the visionaries who see beyond the fence…

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A pure mathematical version of the Clay Mathematics Institute’s Navier-Stokes Millennium Problem

Abstract
This report provides a rigorous transition from the physical formulation of the incompressible Navier-Stokes equations to their pure mathematical representation as defined by the Clay Mathematics Institute for the Millennium Prize Problems. We detail the physical meaning of each term in the classical equations and subsequently reformulate the problem strictly in the language of partial differential equations (PDEs) and operator theory, establishing the axiomatic constraints that govern the variables and parameters of the system.


pdfBrussi 2026_Navier-Stokes Millennium Problem

 

Version uploaded to Zenodo: link DOI – zenodo.21852870

 


Navier-Stokes Millennium Problem

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Phase and Group Velocity in wave propagation

A harmonic wave is a disturbance that varies in space and time according to a sinusoidal function—a periodic trigonometric function of the form
(1) y(x, t) = A cos(kx – ωt + φ)
that describes a smooth, regular oscillation between a maximum and a minimum value. Phase velocity and group velocity represent two distinct metrics for measuring the propagation of such a wave, depending on whether the focus is on an individual oscillation or on the overall envelope structure of the signal.

When considering an ideal monochromatic wave, the phase velocity (vf = ω / k) quantifies the rate at which a point of constant phase moves through space—that is, the displacement speed of a single crest or trough of the sinusoid. However, physical waves capable of transmitting information are never purely monochromatic; they consist of a superposition of spectral components across a range of frequencies (1), forming what is known as a wave packet. The group velocity (vg = dω / dk) precisely measures the propagation speed of the overall envelope of this wave packet.

The core distinction between these two quantities lies in their underlying physical significance. While the phase velocity describes strictly the motion of the oscillatory state and can, in specialized media such as certain plasmas or metamaterials, exceed the speed of light in vacuum c, the group velocity represents the effective speed at which physical energy and signal information travel.
In non-dispersive media—where all spectral components propagate at the same speed—the two values are identical (vf = vg). Conversely, in dispersive media, the frequency dependence of the medium’s properties causes a dispersion relation where the two velocities diverge, typically resulting in a group velocity that is lower than the phase velocity (vg < vf).


In the image the red dot propagates with phase velocity while the green dots propagate with group velocity, source Wikipedia.

Wave group

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Mathematical and historical foundations of Extended Theories of Gravity (ETG)

A short paper, in english, on a fascinating development of General Relativity.

Abstract
Extended Theories of Gravity (ETG) represent a prominent framework in modern theoretical physics and cosmology, aimed at modifying or extending Albert Einstein’s General Relativity to address open phenomenological questions at both ultraviolet (early universe) and infrared (galactic and cosmological) scales.

pdf Brussi 2026 Mathematical and historical foundations of ETG (305 KB)

ETG

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Galactic Energy Profiles II

Galactic Energy Profiles: GEP II. In-System and Background Energy Densities

Update: I decided to publish this work, part of the GEP series, on Zenodo without peer review and to use it as a basic tool for building a subsequent dataset (GEP III). Note: This work is version 2.0 of the previous NAGE II work, which has been superseded.


Abstract
Standard galactic energy inventories typically focus on virialized components, namely kinetic and gravitational potential energy derived from baryonic mass distributions, together with energy inferred from bolometric luminosities. In the first paper of the Galactic Energy Profiles (GEP) series, we introduced a reproducible geometric framework for the radiant and relativistic fluxes of galactic origin, accounting for their finite escape time across the Halo. In this second work, we extend the framework toward a volumetric energy inventory, where bolometric luminosity is complemented by energy densities persistently present within the galactic volume. We consider the thermal and kinetic energy of baryonic matter—including bulk motions, turbulence, and rotational degrees of freedom from large-scale dynamics down to the intrinsic angular momentum of bound systems—together with cosmic rays confined by magnetic fields and extragalactic backgrounds (photons, neutrinos, and diffuse fields) permeating the Halo. This approach distinguishes between flux-based contributions and volume-based reservoirs, providing a complementary description of the total galactic energy budget. Crucially, by resolving these volumetric reservoirs into local radial profiles, we characterize the multi-component pressure support (including thermal, magnetic, cosmic ray, and radiant pressures) available to sustain the circumgalactic medium (CGM) in hydrostatic equilibrium. Although these components vary with morphology and evolutionary state, this study is purely theoretical and simplifies the extreme variability of galactic systems to derive reference estimates and ‘standard cases’. The resulting parametrized framework, supported by publicly available Python scripts, is intended as a further methodological baseline for the sample-wide application planned in later work.

Keywords
galactic energy inventory; galactic energy density; galactic Halo energy; energy distribution based on galactic morphology


Here is the Zenodo version of the paper (1.1 MB):

pdf Brussi 2026_GEP II


GEP_II

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