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My latest paper preprint which I am submitting to the The Foundations of Physics proposes a UV complete theory of gravity, the Black hole information paradox, the Riemann hypothesis, and turbulence.


Paper is subject to revisions for further clarity and mathematical depth:


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The framework suggests the Riemann zeta function's critical line at Re(s)=1/2 describes a quantum gravitational phase transition between bosonic and fermionic geometric sectors. Time emerges as discrete units corresponding to crossings of this critical line, mediated by a ℤ₂ orbifold transition. Four-dimensional spacetime arises from the accumulated history of these transitions, described mathematically through twistor bundles.


For black hole physics, the information paradox resolves through 24 Majorana zero modes that emerge at the horizon. Their non-Abelian braiding implements topological quantum error correction, with information scrambling described by a Smale horseshoe map. The Page curve is reproduced through entanglement wedge reconstruction and island formation.


The cosmological constant problem is addressed by identifying the Leech lattice spectral gap as the UV cutoff. The small observed value emerges from renormalization group flow from this fixed point, rather than representing a fine-tuning problem.


The framework also proposes that turbulent fluids realize spin foam dynamics, with vortex lines mapping to spin network edges. The Monster CFT provides a UV cutoff that regulates Navier-Stokes singularities, while the observed Riemann zeta statistics in turbulence reflect the underlying quantum gravitational structure.



My discussion with leading scientist from the World Economics Forum.
My discussion with leading scientist from the World Economics Forum.

Discussion with researcher in Mathematical Physics.
Discussion with researcher in Mathematical Physics.

While this draft still needs peer review and is open to revision, a deeper understanding of turbulence also explains another phenomenon noted by Tesla coil enthusiasts - vacuum tube driven tesla coils (VTTCs) produce straight conformally invariant fractal spearlike arcs or streamers free from bifurcations or magnetohydrodynamic instabilities. A suppression of monster symmetry might prevent the onset of these instabilities, or even how light modulates dendritic branching by modulation of turbulence in dendritic growth cones in the brain.


Hobbyists have noted unusually shaped streamers or arcs from vacuum tube driven tesla coils which have suppressed bifurcations. Shapes display conformally invariant fractal patterns and curved or straight spearlike geometries.
Hobbyists have noted unusually shaped streamers or arcs from vacuum tube driven tesla coils which have suppressed bifurcations. Shapes display conformally invariant fractal patterns and curved or straight spearlike geometries.
A vacuum tube driven tesla coil displaying characteristic straight spearlike arcs or streamers. While classical explanations for this exists, it may prove to be insufficient to fully understand the phenomenon.
A vacuum tube driven tesla coil displaying characteristic straight spearlike arcs or streamers. While classical explanations for this exists, it may prove to be insufficient to fully understand the phenomenon.
The physics of dendritic arborization may be similar to the physics of Tesla coil plasma streamers.
The physics of dendritic arborization may be similar to the physics of Tesla coil plasma streamers.
The physics of the transition from laminar fluid flow to turbulent flow as described by this photograph of smoke rising from a candle may be related - plasma instabilities are governed by the Navier-Stokes equations just like turbulence - and both can be modeled by the Riemann zeta function.
The physics of the transition from laminar fluid flow to turbulent flow as described by this photograph of smoke rising from a candle may be related - plasma instabilities are governed by the Navier-Stokes equations just like turbulence - and both can be modeled by the Riemann zeta function.

  • Writer: Trevor Alexander Nestor
    Trevor Alexander Nestor
  • Oct 9
  • 5 min read

Updated: Oct 10

I remember after the Bush years there was a strong new atheist movement that intersected alot with the technological utopian vibe at the time, with prominent figures like Neil Degrasse Tyson, TJ Kirk, Richard Dawkins, the Armored Skeptic, Holy Koolaid, the Genetically Modified Skeptic, Aaron Ra, the Drunken Peasants Podcast, Bill Nye, Christopher Hitchens, Sam Harris, Daniel Dennett, and so forth. But it seems like the whole thing as a cultural and political force has died off, and was not successful. So given this - it might be appropriate to ask - what went wrong?


Right now more than ever I think that something is needed in the age of Trump, political instability and violence, and hyperpolarization, but if we do not take a closer look at failed movements of the past, it will be possible to fall into the same traps.



While religion was used in a nefarious way to rationalize wars, dehumanization, the massive accumulation of wealth and power, and stripping rights from ordinary people, I think the final stage of the new atheist movement right now is culminating and playing out with techno feudalism, and people are burned out with secularism and science especially after covid and Elon Musk because they have not made much meaningful progress in their personal lives, and general societal ills like lack of access to education, healthcare, childcare, and functional infrastructure are all out of reach for many. The utopian future we were promised has not been delivered.


We were told that our struggles were mental problems, and we saw the rise of Dr. Peterson. We were told we needed to work on ourselves, then we saw the rise of Andrew Tate. We were told the answers were in science and technology, and we saw the rise of Elon Musk. We were told that the solution was political and democratic, and we saw the rise of Donald Trump.


We are more productive now than ever, but the gains are not distributed across workers.
We are more productive now than ever, but the gains are not distributed across workers.
Our current trajectory is not socioeconomically sustainable, putting increasing strain on the young or the need to import or outsource foreign labor.
Our current trajectory is not socioeconomically sustainable, putting increasing strain on the young or the need to import or outsource foreign labor.
For the majority of workers, the American Dream is an exponentially deferred promise - but faith in it is needed to prop up the economic engine.
For the majority of workers, the American Dream is an exponentially deferred promise - but faith in it is needed to prop up the economic engine.

Anxiety about the future is also reflected in lower birth rates creating a death spiral because the population is aging and becoming more socially repressive - all while there is rising wealth and income inequality that has reached a fever pitch.





Prominent academics in the sciences now are even admitting financial incentives have wrecked academia and scientific establishments have become dogmatic.



I have tried to really spend time to articulate what went wrong and how to fix it, and I think that the way forward has to be realizing the ways in which technology has been weaponized, and embracing what makes us human. I argue that AIs are not conscious, and the investments in AI infrastructure and cryptocurrencies reach a tipping point after which there are diminishing returns (like described by sociologist Joseph Tainter). I think that these kinds of analyses are so crucial right now because without a theory for what is going on, it will be easy for people to fall into extremist traps like authoritarian religious or political movements.






The way I am trying to understand things is through the lens of sociophysics, econophysics, complexity economics, luhmann's systems theory, complex adaptive systems theory, agent network model theory, and the spectral theory of value. With this framework you can understand political polarization like you understand the collapse of stars into black holes - you can get what is called a fold catastrophe - a point where the UV and IR regimes collapse by gravity into a singularity. This reflects the collapse of the political spectrum into either civil war/revolution or violent imperialism, which I believe is the proper interpretation of the "technological singularity," where these AIs are simply a reflection of us.


Fold catastrophe points signal the collapse of the political spectrum into authoritarian movements.
Fold catastrophe points signal the collapse of the political spectrum into authoritarian movements.

What is interesting is at the top echelons of society, I do believe this is how they are viewing things too.



The performative left right political spectrum are both beholden to corporate and political elites increasingly more detached from the needs of ordinary people, with culture wars manufactured to divide the public among itself - enforced and entrenched by social media.


The pursuit towards the American Dream is how they keep the economic engine running, it's designed to be an exponential energy gap - a moving goalpost - that way they can tap into sublimated sexual desire to keep things propped up. Actors and actresses and a hidden club of elites write the social scripts we are expected to live by, and consent of the public is manufactured where you are the product. This is not a conspiracy theory - this is all public knowledge - all you have to do is look. The only difference is now, people are no longer willing to play along, because the social contact has been violated.


That there is a group of elites running society is not a conspiracy theory, it is common knowledge.  Even prominent figures like Hawking and Chomsky appear to have affiliations to a hidden network of players.
That there is a group of elites running society is not a conspiracy theory, it is common knowledge. Even prominent figures like Hawking and Chomsky appear to have affiliations to a hidden network of players.




Planners use the same maths of black holes to develop cryptocurrencies which separates social and economic institutions by enforcing one way flows of information. String theory - the leading theory of quantum gravity - was appropriated towards developing cryptography and the maths used to structure society - and one reason that it has been funded so extensively while remaining unfalsifiable, are exactly these perverse incentives (the black hole information paradox, for example, includes the maths of one way flows of information - precisely the maths appropriated towards developing cryptocurrencies and cryptosystems - and the "extra dimensions" of string theory map to conputational complexity classes and thus socioeconomic class structure within complexity economics theory).





Sam Altman is literally correct, though probably not in the way you were thinking.
Sam Altman is literally correct, though probably not in the way you were thinking.
The theory of entropic gravity describes gravity as emergent from reaching saturation points in entanglement entropy or complexity. Is it possible for societies to eventually collapse in on themselves by the same mechanism?
The theory of entropic gravity describes gravity as emergent from reaching saturation points in entanglement entropy or complexity. Is it possible for societies to eventually collapse in on themselves by the same mechanism?

Agents in the complex interdependent system we all live in facilitate information flows between social and economic institutions and the complexity of information they facilitate corresponds to their socioeconomic class (computational complexity class/chomsky hierarchy/kolmogorov complexity) under these models. Metanarratives and symbols are developed to control and survellience people under ulterior pretexts (climate change, pandemics, terrorism, antifa violence, AI, etc).


Since AIs are not conscious, and are simply a reflection of us, they reach scaling limits - they tap into the collective creativity of a culture - they feed on us interpreting their results and what we create and intuit - and after a few iterations of feeding on their own outputs start producing garbled garbage.


The investment into AI systems reaches a point of diminishing returns.
The investment into AI systems reaches a point of diminishing returns.

What is interesting though, is that if Penrose is correct, we may already inherently have within us a latent ability to outperform these AIs and even emergent quantum computer technologies - challenging our strategy towards allocating the immense resources towards scaling up these datacenters and cryptocurrency systems and quantum computers. If Penrose is correct, our own natural brains are quantum computers that outclass all of the ones we have built, and at a staggering efficiency of only 20 watts a pop.


This forces us to reconsider our collective future. If our own brains outclass all of these AIs and quantum computers, and if our brains are quantum computers and quantum computers allow us to crack cryptocurrencies, then, wouldn't a better way to allocate resources be in direct investments into local communities and people?



Can people really be replaced by AI, or is AI just a rationalization for greed?
Can people really be replaced by AI, or is AI just a rationalization for greed?

If Penrose's theory of consciousness is correct, that implies it might be possible to solve economic optimization problems not with expensive quantum computer hardware - but by means of social networks of people alone.
If Penrose's theory of consciousness is correct, that implies it might be possible to solve economic optimization problems not with expensive quantum computer hardware - but by means of social networks of people alone.

At a saturation point, diminishing returns by means of scaling up AI do not keep pace with resource cost
At a saturation point, diminishing returns by means of scaling up AI do not keep pace with resource cost

Billions of dollars are pouring into AI, quantum computing, and cryptography - all for alleged economic benefits and increases in productivity. While people struggle to afford necessities like housing, childcare, healthcare, and education, Mark Zuckerberg announces he plans on building AI datacenters the size of Manhattan - economic planning you have no part in developing the vision for.



The reason this is a collosal waste of resources is that the brain is vastly more efficient then any of these systems - so from a purely economic and computational perspective, it would actually be better to invest directly in infrastructure and local communities.


If you feel that there haven't been many improvements at home, a part of the problem is that we are all expected to live in digital prisons and none of the money is going towards housing, education, healthcare, infrastructure, or childcare. Under the guise of technological progress, all other things are sacrificed while all power is concentrated in the hands of those that control the mass surveillance and information control apparatus.
If you feel that there haven't been many improvements at home, a part of the problem is that we are all expected to live in digital prisons and none of the money is going towards housing, education, healthcare, infrastructure, or childcare. Under the guise of technological progress, all other things are sacrificed while all power is concentrated in the hands of those that control the mass surveillance and information control apparatus.

Take the thesis of Dr. Penrose, who claims that the brain is a quantum computer that processes information by means of gravity - accounting for the measurement problem:






If his theory is correct, than it should be feasible to break postquantum lattice cryptography, and also build a scalable quantum computer by means of trophic social networks of people alone:



We also know that societies reach entropic limits of complexity after which they collapse because institutions become too complex to maintain (according to sociologist Joseph Tainter). In this view, it is more efficient to invest directly in people, local communities, and infrastructure than ever more complicated AI systems after a tipping point (which in post industrial societies is a bit after the point of financialization of the economy).








This also explains why overreliance on AI as an information survelliance and control loop in organizations after a saturation point of complexity can be their own downfall, like at Microsoft:



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Currently the only likely value for further investments in this technology will be the discharge of debts through devaluation as the AI bubble pops.


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My Story

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I have been on many strange adventures traveling off-grid around the world which has contributed to my understanding of the universe and my dedication towards science advocacy, housing affordability, academic integrity, and education funding. From witnessing Occupy Cal amid 500 million dollar budget cuts to the UC system, to corporate and government corruption and academic gatekeeping, I decided to achieve background independence and live in a trailer "tiny home" I built so that I would be able to pursue my endeavors.

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Information Physics Institute

University of Portsmouth, UK

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Bellevue, WA 98008-1299

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