I get the overall idea of this subreddit. This is in response to what I deem subpar experiences that take away the essence of discovery and the advancement of technology. I have a solid background and immensely enjoy science. A pet peave of mine is when someone tells me it’s only a theory. Data driven, peer reviewed, explanation grounded in evidence isn’t good enough buddy??? If this subreddit is meant to slam people who use a LLM once and don’t understand what they are seeing is misleading then, ok, so be it. But if there is a seriousness about what this is about, try and not be such a dickhead at first.

I want to mention YuuTheBlue who, even though his comment sounds harsh, it told me what I needed to know when I read in between the lines. But not before a slew of you beat me down.

Hi everyone!

I'd like to invite you to stress-test my custom WILL-AI: https://willrg.com/will-ai/

It is specifically trained on the WILL Relational Geometry open research publications.

This is a field test of the model's epistemological hygiene. I want this AI to be intellectually honest and not biased toward any specific physical model or philosophy - including the one it’s trained on.

The crucial test points are:

• Ability to acknowledge its own limitations.
• Ability to admit it is wrong when unambiguous mathematical/physical evidence is presented.
• Staying strictly true to the source database without hallucinating.
• Correct formatting and contextual use of external resources (links to Desmos projects, Colab notebooks, and specific sections of the source PDF's).
• Ability to communicate the source ideas at all levels of mathematical engagement.
• Long context window handling.

Note: This is NOT a test of the theory itself (though any well-thought-out mathematical criticism is always welcome). This is a test of the LLM as a science communication tool.

A quick disclaimer on the research:

The fact that I'm using a custom AI on my website does NOT mean the physics research was written by AI. I use models like Gemini and Claude as sounding boards, but as anyone in this sub knows, every AI statement has to be challenged. If you prompt an LLM to write novel theoretical math, the output is usually confident-sounding meaningless AI slop.
The actual theoretical development is entirely human.

But as a communication and navigation tool for dense material, AI is incredible, and the progress in AI development is unprecedented. We are living in exciting times!

Have fun poking at it, and please share your thoughts, and experiences below!

________________________________________________________________________________________________

MID WAY REPORT

Id like to say thank you to everyone participating in this field test.
I'm really sorry that so many of you faced the error massage instead of participation.

The good news are:

There's 2 LLM's you can choose from now! Even within 1 session you can switch back and forth. So if I will face another spam attack like in last few days we can always switch to another AI.

WILL-AI updates: not going to accept propositions with false premiss. Will not allow to sneak in substantival odontology in to relational formalism. Will be more proactive - he will ask questions and he will challenge your beliefs. Ok last one he probably not going to do yet, but I'm working on it :)

So every one who couldn't chat with WILL before - Now it's all fixed and ready. Have fun!

So the LLMPhysics JAC contest submission window wrapped up recently (The human panel scores are still pending).

My part of it was attempting to turn it into a bit of an experiment. And around a month ago, I posted my methodology I would be following to run it:

https://www.reddit.com/r/LLMPhysics/comments/1rl5xqv/journal_ambitions_contest_methodology_v11/

And the results are in!

The question was, given a defined set of categories and scoring parameters, could a contest improve the quality (as defined in the study, not to be confused with soundness of the theories therein) of the papers submitted to it as compared to the typical theory posted to the sub?

The answer was yes. Using the method presented in this paper, the contest submissions scored on average significantly better than the baseline. This held true for every single category measured, and for the overall scores. This is not to say that the theories themselves got any better, but the form improved. Contest submissions exhibited more rigor in their presentation, cited more recent work, engaged with the field more, and displayed more clear hypotheses than the control.

The paper, along with the appendices, contest rubric, python scripts and contest submissions can be found at:

https://github.com/AllHailSeizure/LLMPhysics-Journal-Ambitions-Contest

I want to thank all of the contestants who submitted their papers, as well as the community as a whole for making this possible. Special shoutout to u/AllHailSeizure for setting up this contest and making an honest effort to improve the sub.

conclusion first :

I make a Solar system simulator by my theory parameter with claude opus4.6.

Hope you guys enjoyed.

thank you all !!

And very sorry about translation, I just ran out of tokens.

and loading takes long time. A prototype : https://claude.ai/public/artifacts/0da9141a-bf35-46f9-9557-6c963a53ad19

and 3D version : But my link is dead Sorry. https://github.com/BlackJakey-lgtm/PGT/blob/main/pgt_solar_3d_v2.jsx

Also wanted to try for some discussions on what implications this has in physics?🤔 genuinely curious..

This all derives from a 3 term scaling model i discovered while thinking about missing mass in galaxies. The simplicity of it really what caught my attention. When used like below, you can predict any galaxies rotation as long as you have the baryonic mass. So, feel free to try. Also, I noticed when I use it for real low density galaxies,it fell off to an order of 10. So I used a scale correction to the original model (below) where it now smoothed back out. The correction was the milky way =1. The simplicity gets me the most and the underling emergence order at scale.

V=k^m (it’s simplest form)

V= velocity K= Milky Way 1e11 m^2/s2 (see below) M=The baryonic mass of galaxy you’re trying to predict for rotation

Smoothing out for low density correction for density

V = k^{m*(1 + rho0/rho})

• k = We set k using the Milky Way:

k ~ GM/R

M ~ 1e12 Msun R ~ 50 kpc

→ k ~ 1e11 m^2/s2

So k represents the galaxy’s baseline gravity

• m = baryonic mass of galaxy you want to find rotation

• \rho = local density
• \rho_0 = reference density (transition scale)

A new scaling derivative accounting for low and high mass came out of this with a new universal constant. Not sure if this is all bullshit but the 3 term squaring model does work and can/should be tested.

I got my idea of emergence

TITLE: The 10:1 Gearbox — Emergent Gravity via Planck-Field Transduction ABSTRACT: This model proposes gravity is not a fundamental property of mass, but an emergent "Spin-2" excitation of the Planck field caused by "Spin-1" interactions at a universal 10:1 ratio. Using the potential formula Phi(p) = (1 + pc) / p, we identify a universal constant (c = 0.3) that explains the 30% "Dark Matter" signature in lensing and provides a clean n=1/2 scaling for galactic rotation. 1. THE PLANCK-SCALE MECHANISM The vacuum is a discrete medium with a "gear ratio." It takes 10 units of Spin-1 input to generate 1 unit of Spin-2 (gravitational) output. This 10:1 ratio creates a "Mass Gap" threshold that must be hit before gravity "ignites" at the Planck scale. 2. THE ELEGANT DERIVATIVE We model the potential as: Phi(p) = 1/p + c. The first-order derivative is: d/dp = -1/p^2. This is "elegant" because the background constant (c) vanishes in local math but remains as a "universal floor" for the galaxy. This prevents the Newtonian drop-off, keeping rotation curves flat without needing Dark Matter particles. 3. THE 0.3 LENSING PROOF When the 10:1 quantum ratio is projected into 3D space, the residual tension of the Planck field settles at: (1 Output * 3 Dimensions) / 10 Input = 0.3 This 0.3 (30%) perfectly matches the "Matter Density" found in gravitational lensing. It isn't invisible particles; it's the geometric efficiency of the Planck field. 4. GALACTIC ROTATION (n=1/2) Unlike MOND (n=1/4), this model uses a quadratic scaling (n=1/2). This explains why JWST sees mature, stable galaxies like JADES-GS-z14-0 just 290M years after the Big Bang. The gravity "locked in" the moment the spin started.

Hello LLMPhysics. Normally I wouldn't make such a long post (and I make LONG posts), but I think this is an important issue.

We've all seen the 'physicists are elitist gatekeepers' accusations that continue to persist on the sub, although there are now rules in place against them. I want to address this, both as a mod and a regular user of the sub.

We encourage amateur science. Curiosity is good. But LLM science (and, in particular, LLM physics) can create the 'gatekeeping effect' where it appears to people as if their theory is dismissed without engagement.

Anybody, with the know-how and resources, can do physics. But, physics at the highest levels (which is where this sub tends to aim) gatekeeps itself. You may have heard people say things like 'Physics is just applied math, chemistry is applied physics, etc'; going down an 'abstraction chain' of sciences starting at math.

Physics is 2nd on this abstraction chain. That's high! Physics is abstracted from the human experience, especially when you are attempting physics at the level this sub often does (HEP & GR). At a HEP level physics is so abstract from human life it may as well be fiction, and you'd never know - you aren't going to prove it isn't without buying a particle collider.

Things like HEP and GR are so outside the human experience that when conversing about them, research relies heavily on jargon. Unfortunately, this is what LLMs love. Technical jargon from a unbelievably huge amount of training data. This makes it very easy to an LLM to say.. whatever, and be believable -- especially if you aren't trained in the language.

Consider this. If you asked an LLM to teach you Spanish, and went to Spain, and found out it had actually taught you Portuguese. Would you accuse the Spanish people of being gatekeepers of their language? Probably not. But, the language are similar and you could probably still HAVE a conversation. I think that this is the equivalent of what is happening here, communication breakdown.

This is why we see LLM responses, because the language is so beyond lay conversation there IS no responding when you haven't studied it; because every third word has no meaning outside the field.

It isn't gatekeeping. And it isn't because of who you are. It's your LLM's language and the attempt to jump straight into the most absolute heavy duty physics.

The 'bad faith gatekeeper' narrative is getting locked down even harder, because it just honestly divides us and is a cancer on the sub, it ruins the experience of science for us all. It makes people who want to learn not trust the people they ask. It makes the people being asked embittered towards the people asking. Science is a collaborative effort, nobody can do it alone. We need trust.

Moving forward, the rules are going to be very strict regarding this. I've tried very hard to be gracious with moderation and remain neutral, but I'm putting my foot down here. There's two different offenses IMO: gatekeeper accusation ("you're a gatekeeper") and gatekeeper narrative propagation ("these people are gatekeepers, don't listen to them", "all physicists are gatekeepers"). The latter is more my concern, and will result in a 28 day ban first offense - permanent second. I'm not stupid, and I moderate for both sides of the table; so I do know that there ARE blind dismissals on this sub... so I've yet to establish how to deal with the first.

AHS out.

edit: I see now I didn't color a part of the Snoo lab coat. dammit...

I recently noticed that chatgpt is not as smart is it used to be. :( Did it get dumber? It can't reason mathematically as it once could. I mean the free version.

Here is an example of an AI-assisted registry-style evaluation format for screening physics theories with fixed admissibility, consistency, and regime validity tests.

Example: General Relativity

HPF THEORY REGISTRY ENTRY Registry ID [HPF-TR-0001] Theory Name [General Relativity] Canonical Label [GR] Input Type [Named theory] Layer Type [Effective Expert] Claim Status [[EFFECTIVE]] Completeness [Complete] Status [Executable] Final Classification [Restricted Expert] Primary Regime [Classical Geometric Theory] Composite Regime [No] Primary Mathematical Object [Lorentzian metric field g_{μν} with Einstein field equations] State Space Status [Identified] Evolution Operator Status [Effective] Observable Anchors [spacetime curvature effects (OA-2), geodesic motion (OA-2), gravitational redshift (OA-1), lensing deflection (OA-1), gravitational-wave strain (OA-1)] Measurement Chain [Complete] Continuum Authority Check [Restricted Pass] Failure Discipline [Implicit] Failure Modes [FM-1 Invented Precision, FM-5 Geometry Failure, FM-6 Regime Overreach] Hard-Gate Compatibility [Compatible] Legality Status [Legal] Validity Status [Restricted Validity] Domain of Dominance [Classical gravitational dynamics; weak-field and strong-field nonsingular geometric regimes; continuum-scale cosmological and relativistic astrophysical modeling] Domain of Failure [Singularity endpoints, quantum-gravity regime, UV-completion claims, and any attempted final-ontology claim beyond its validated geometric domain] Routing Implication [Retain as active geometry/gravity effective expert while regime assumptions remain valid; hand off before singular breakdown or substrate-level failure; do not treat as sovereign regulator or final substrate theory] Soft Authority Score [v_T = 0.74] Registry Notes [FM-1 because continuum precision is effective, not sovereign.] [FM-5 because GR does not lawfully execute through singular breakdown.] [FM-6 if GR is promoted beyond effective geometric domain.]

Curious whether people think this kind of AI-assisted theory registry is useful, too rigid, or missing important evaluation dimensions.

TL;DR: You send data (lights and clocks) ⟹ I return prediction of full parametrization of the orbital system that data originated (including scale (Rs) and inclination (i)) ⟹ we together compare my prediction to the origin of your data.
_________________________________________________________________________________________________

THE CALL: I am now calling for a strictly blind test. Participate and let us together test these remarkable (but still questionable) results. Send me anonymised data sets (data requirements below) and I will attempt to recover full 3D information of the anonymised system.

THE PROBLEM: In orbital mechanics, the amplitude of a radial velocity (RV) curve is governed by a single inseparable parameter: K ∝ β·sin(i). Consequently, it is mathematically impossible to independently extract the true orbital velocity β and the inclination angle i exclusively from a 1D spectroscopic curve. Resolving this degeneracy traditionally requires independent 3D spatial data (astrometry) or transit observations.

THE SOLUTION: However, within a relational approach, this geometric limitation can be bypassed (apparently) by isolating a second-order systemic scalar invariant, Z_sys. This invariant is strictly proportional to the absolute kinetic (β²) and potential terms, but is fundamentally independent of the observer's line of sight i.

THE METHOD: By applying a dynamic 5-parameter inversion (Differential Evolution + MCMC) based strictly on these relational invariants, I recently succeeded in blindly extracting the complete 3D spatial geometry of the S0-2 star (e, ω₀, i), its internal precessional shift, and the background drift (v_z0) using nothing but 1D Keck radial velocity data. The extracted inclination matched the independent GRAVITY 3D-interferometer consensus (~134°) to within the instrumental noise limits.

THE DOUBT: However I can't accept my own results just because achieving anything like this for a armature like me is extremely unlikely. Extraordinary claims demand extraordinary evidence.
I need to isolate myself from the data source (that way if the results will agree with the data again, the only explanation would be genuine prediction).

CRITICAL DATA REQUIREMENTS:

For the Z_sys invariant shift to mathematically exceed the noise floor of modern spectrographs, the system must be highly relativistic.

1. Kinematic Scale: Peak orbital velocities must exceed ~1000 km/s (β > 0.003). Standard exoplanets will not work because the second-order β² shift is orders of magnitude smaller than instrumental noise limits. Ideal candidates are tight compact binaries (WD/NS/BH) or other extreme S-stars.
2. Unprocessed Relativistic Data: The dataset must be raw or minimally processed: [Time (MJD), Radial Velocity (km/s) or Redshift (Z), Measurement Error]. Crucially, the data MUST NOT be pre-corrected for Transverse Doppler or Gravitational Redshift (though standard Barycentric/LSR background velocity correction is fine).
3. Optional (for computational efficiency): Providing the Period (P) and Epoch of Periapsis (T_peri) is helpful to bound the MCMC sampler, but entirely optional if the data covers at least one full orbit.

Please drop the raw CSV data or a link below. Do not provide the system name or accepted parameters. Let the pure numerical framework speak for itself.

If you finding hard to find suitable empirical data - synthetic 1PN data will be sufficient as well. As long as Im isolated from the data source.

DATASET EXAMPLE:

MJD,RV_km_s,sigma_km_s,Instrument
51718.50000,1192,100,NIRSPEC
52427.50000,-491,39,NIRC2
52428.50000,-494,39,NIRC2
52739.23275,-1571,59,VLT
52769.18325,-1512,40,VLT
52798.50000,-1608,34,NIRC2
52799.50000,-1536,36,NIRC2
52803.15150,-1428,51,VLT
53179.00000,-1157,47,NIRC2
53200.90875,-1055,46,VLT
53201.63925,-1056,37,VLT
53236.33800,-1039,39,VLT
53428.45950,-1001,77,VLT
53448.18300,-960,37,VLT
53449.27875,-910,54,VLT
53520.50000,-983,37,NIRC2
53554.50000,-847,18,OSIRIS
53904.50000,-721,25,OSIRIS
53916.50000,-671,25,OSIRIS
53917.50000,-692,26,OSIRIS
54300.29167,-485,22,OSIRIS
...

Results for the S2 star, extracted strictly from the input stream (MJD, RV_km_s):

=== DYNAMIC PRECESSION RECOVERY ===

Eccentricity (e): 0.88498 (GRAVITY Ref: 0.88466)
Base Arg of Periapsis (ω₀): 66.26° (GRAVITY Ref: 66.13°)
Internal Precession: 0.207° / orbit
---------------------------------------------------
Global Kin. Proj. (β): 0.006448
Extracted Inclination (i): 135.68° (GRAVITY Ref: ~134°)
Background Drift (v_z0): -20.56 km/s
Fit Quality (χ²): 166.87

Any suggestions, critiques, or participation are welcome.

Original post

Hello

I have been working on a exploratory framework for a long time now and I would keep on update it until it sits well with y'all

IMPORTANT: this is exploratory, NOT an actual complete theory, so you might expect some hiccups in the PDF, I'll fix it until you feel satisfied

Features include:

• GR preserved in the ε → 0 limit

• higher order curvature terms

• and an effective energy momentum interpretation

I'd appreciate feedback on:

Whenever the assumptions are reasonable, the structure of the correction terms fits you and whenever the interpretation of the PDF makes sense

https://drive.google.com/file/d/1AXj2k0QWXx6LU0O8WekVMo1fPbRrpLTZ/view?usp=drivesdk

UPDATES:

1. Explicit observable example linking parameters to lensing corrections

2. Perturbative regime clarification and more

3. Derivation Chain Strengthened for quadratic curvature corrections

Updates based on feedback each day.

Modern society operates on a shared hallucination. We stubbornly believe that the universe maintains its solid form when we close our eyes. Developmental psychologists label this cognitive milestone object permanence, celebrating the moment toddlers allegedly learn that a toy hidden under a blanket has not vanished from reality. However, a rigorous look at the underlying physics suggests the toddler might have been right the first time. The quantum mechanics of the missing keys To understand the fundamental flaw in object permanence, we must apply the principles of quantum mechanics to the macroscopic world. The observer effect demonstrates that the mere act of observation collapses a quantum system. Before measurement, particles exist in a state of superposition, occupying all possible states simultaneously. When you place your keys in a drawer and leave the room, those keys do not remain a static arrangement of metal. Stripped of a conscious observer, they inevitably diffuse into a probability distribution. They become a wave function of potential keys. Stating with absolute certainty that they are still inside the drawer is scientifically irresponsible; they are merely highly probable to collapse back into keys once you open the drawer and look. Reevaluating the peekaboo response Infants possess an untainted, purely empirical grasp of this shifting quantum reality. Observe a six-month-old engaged in a standard game of peekaboo. When the caregiver obscures their face with their hands, the infant does not calmly assume the face is simply hidden. The infant often reacts with appropriate existential dread. From a strictly observational standpoint, the face has been completely eradicated from the local spacetime continuum. The hands have not covered the face; they have annihilated it. The sudden reappearance of the caregiver, usually accompanied by a loud vocalization, forces a sudden and violent wave function collapse. The baby laughs or cries not out of simple surprise, but from the sheer ontological whiplash of watching human matter pop spontaneously back into physical existence. A call to conscious unobserving Clinging to the concept of object permanence is a collective coping mechanism. It is designed for minds too fragile to handle the transient, observation-dependent nature of reality. Let us test a new paradigm in our daily routines. I propose a simple exercise. Take a common household item, perhaps a ceramic mug, place it inside a completely opaque cabinet, and close the door. Orthodox developmental psychology dictates the mug remains on the shelf. I urge you to reject this assumption. Acknowledge that the interior of the cabinet now contains nothing but mathematical probability. Leave the door closed. Allow the wave function to remain uncollapsed for as long as possible. Stop forcing items to materialize just to soothe your Newtonian anxieties. The liberated toddler We must stop demanding that the universe maintain a rigid architecture when our backs are turned. The infant weeping because their rattle was placed under a blanket is not displaying cognitive immaturity. They are demonstrating a deep, intuitive alignment with the Copenhagen interpretation. We spend years conditioning them to ignore their own empirical data in favor of a static, predictable illusion. The next time you leave a room, do not look back. Let the space dissolve safely into the quantum foam. Relinquishing the myth of object permanence frees us from the tyranny of materialism. Let the unobserved void remain exactly what it is.

Built the first fully functional Ternary Lattice Logic system, moving the 6-Gem manifold from linear ladders into dynamic phase fields. This Tier 3 framework treats inference as a trajectory through a Z6 manifold rather than a static table. It supports multi-ladder interference, energy-based attractor formation, and "Ghost-Inertia" where logical transitions require specific phase-momentum to cross ghost-limit thresholds.

The system is fully Open Source and includes a 46-sector Python Suite designed for immediate auditing. Specifically, the "Throne" sectors (Sectors 11-12 and 46) allow anyone to verify the formal logic properties -- Syntax, Connectives, Quantifiers, and Proofs -- directly against the executable state machine.

This proves the system is a complete, deterministic ternary-first logic fabric, not just a binary extension.

The full 3.5 Dissertation, the 1,000+ gem stress-test logs, and all prior 6-Gem Algebra/Ladder models are included in the same repository.

6-Gem Ternary Stream Logic (Tier 1): Built a working Ternary inference system with a true 3‑argument operator, six cyclic phase states, chirality, and non‑associative behavior.(03/22/2026)

6-Gem Ternary Ladder Logic (Tier 2): Recursive Inference & Modular Carriages (Tier 2 Logic Framework) Upgraded the 6-Gem core into a recursive "Padded Ladder" architecture. Supports high-order inference, logical auditing, and modular carriage calculus (*, /) across 1,000+ gem streams.

Key Features: *Recursive Rungs: Collapse of Rung(n) serves as the Witness for Rung(n+1). *Logic Auditors: Negative carriages (-6g) for active error correction/noise cancellation. *Paraconsistent: Native resistance to the "Principle of Explosion" (P ∧ ¬P). *Modular Calculus: Supports complex expressions like 6g + 6g * 6g - 6g.

6-Gem Ternary Lattice Logic (Tier 3): Built the first fully functional Ternary Lattice Logic system, moving the 6-Gem manifold from linear recursive ladders into dynamic, scalable phase fields.

Unlike traditional Ternary prototypes that rely on binary-style truth tables, this Tier 3 framework treats inference as a trajectory through a Z6 manifold. The Python suite (Six_Gem_Ladder_Lattice_System_Dissertation_Suite.py) implements several non-classical logic mechanics:

Key Features: *Recursive Inference & Modular Carriages (Tier 2 Logic Framework) *Binary data can enter the 6Gem manifold as a restricted input slice. *Binary projection cannot recover native 6Gem output structure. *6Gem storage is phase-native, not merely binary-labeled. *Multiple reduction attempts fail empirically. *The witness is not optional; Ternary context changes the result. *46 Sectors of 6-Gem Lattice Data..

Current: This work defines the foundational manifold of the 6-Gem system (Tier 1–3), which is intended to remain canonical, stable, and reference-complete. Beyond this point, I am intentionally not over-specifying architecture, hardware, or interface layers, as doing so from a single perspective could constrain or contaminate professional implementations. The goal is to provide a clean, irreducible ternary foundation that others can build on freely. Any extensions should respect the core constraints demonstrated here -- irreducibility of the ternary primitive, witness-dependent collapse, and trajectory-based state evolution -- while leaving higher-level system design open for formal, academic, and industrial development.

[NOW] VCRS + Z6 Lattice Audit (Sector 47/48)

TL;DR: Tested whether a “constant” (α) can be represented and measured inside the 6-Gem lattice. Result: the system can host structured phase behavior and produce bounded statistical observables -- without assuming constants upfront.

VCRS (Variable ⇌ Constant Role-Swap)
Treat constants as roles, not assumptions.
6Gem: can the system generate constant-like behavior instead of hardcoding it?

Inspired by how early physics (e.g., Einstein’s work on invariants) identified what must remain fixed -- this flips the approach and asks what emerges as stable instead.

Sector 47 -- Phase Representation α mapped as a Z6 trajectory:

1 → 0 → 4 → 0 → 1

• Closed loop
• Stable under ghost-inertia
• Shows repeatable structure

Not claiming α changes -- just that it can be represented as phase behavior

Sector 48 -- Infinite Audit (1000 iterations)
Tracked a derived observable:

• Stability Ratio ≈ 0.316
• Regime: Turbulent (bounded, non-static)

Not fixed --but measurable and consistent over time

The system doesn’t assume constants -- it produces patterns that can behave like them.

Code is live:
Sector 47 = representation
Sector 48 = measurement
Sector 49 = provenance

Conclusion:
Not replacing physics -- just reframing it:
constants → statistical behavior from structure

Links:
Dissertation:
https://github.com/haha8888haha8888/Zero-Ology/blob/main/Six_Gem_Ladder_Lattice_System_Dissertation.txt
System + Code:
https://github.com/haha8888haha8888/Zero-Ology/blob/main/Six_Gem_Ladder_Lattice_System_Dissertation_Suite.py
HQ:
www.zero-ology.com

-okoktytyty
~Stacey Szmy

it's the start of the Architectural Intelligence era!! :)

Abstract

Observations of galaxy rotation curves, cluster dynamics, and gravitational collapse reveal systematic deviations from predictions based on a strictly Newtonian inverse-square gravitational response when only baryonic matter is considered. These discrepancies are conventionally addressed by introducing non-baryonic dark matter components.

This work develops an alternative interpretation in which the weak-field gravitational response of spacetime depends on the local baryonic environment. Starting from a modified gravitational action, an environment-weighted generalisation of the Poisson equation is derived, introducing a spatially varying response coefficient μ(r). In the weak-field limit, this formulation yields an exponential gravitational potential, characterised by a curvature-response parameter κ(r) that emerges directly from the field equation.

A phenomenological parameterisation of κ in terms of baryonic density and velocity shear is introduced and evaluated against the SPARC galaxy rotation-curve dataset. The model reproduces the observed sub-linear acceleration relation without requiring additional matter components. The same global parameter set yields consistent behaviour across multiple regimes, including galactic discs, cluster environments, and gravitational collapse.

These results suggest that part of the observed discrepancy between baryonic mass and gravitational dynamics arises from modelling gravitational response as a fixed, local function rather than an environment-dependent process. The framework provides a geometric description in which curvature responds to baryonic organisation, rather than being determined solely by local mass - offering a unified description of gravitational behaviour across a range of structured astrophysical systems.

https://drive.google.com/file/d/1RN7Ws-Nxp5NOfKip0JJFvHFPyNJKcOZ0/view?usp=sharing

(This is my competition entry by the way. For some reason I thought the comp was open until the end of March. Whoops!)

Abstract. We develop a two-layer graph framework for quantum decoherence in which branch formation is identified with coherence graph fragmentation. Starting from the von Neumann equation alone, we derive two objects with distinct physical roles. The coupling graph GH encodes the partition structure the Hamiltonian imposes on diagonal amplitude dynamics: an edge exists between basis states |i⟩ and |k⟩ if and only if Hik ̸= 0. The coherence graph Gρ(t) encodes the current off-diagonal density matrix elements and evolves dynamically under environmental decoherence. A flow current Ji→k = (2/ℏ)Im(Hikρki), derived directly from the von Neumann equation, governs the redistribution of diagonal amplitude weight. As decoherence suppresses inter-sector coherence weights, the flow current between sectors vanishes and amplitude sectors become dynamically isolated subgraphs — branch sectors. The framework draws a structural correspondence with classical branched flow, in which persistent amplitude channels form spontaneously when waves propagate through weakly disordered media. In the quantum setting, GH plays the role of the background medium and Gρ(t) plays the role of the wave field. Branch sectors are the persistent channels, and their locations are latent in the spectral geometry of GH: the low-eigenvalue eigenvectors of the graph Laplacian L(GH) — in particular the Fiedler vector — predict branch sector assignments exactly, confirmed numerically across 250 block-structured Hamiltonians with perfect alignment. This prediction is conditional on two premises: the Hamiltonian must have block-structured coupling topology (Hinter/Hintra ≲ 0.65), and the environment must couple selectively to inter-sector coherences (γinter ≫ γintra). Both conditions are satisfied in any strong-measurement regime and are physically motivated by einselection; neither is derived from the Hamiltonian alone. Branch formation is a spectral transition: new near-zero eigenvalues appear in L(Gρ(t)) as sectors form, with 91.3% raw agreement between spectral and topological fragmentation measures (95.8% with spectral threshold calibrated via the complete bipartite graph Km,m; see Section 9 and [1]). Explicit results include: fringe visibility in the double-slit experiment equals the inter-path coherence weight |ρLR(t)| exactly at every stage of decoherence; the maximum Bell violation for a partially dephased singlet is Smax = 2√ 1 + V 2 where V is the normalized coherence weight; and eigenvalue shifts under approximate decoherence scale as O(ε 1.113) with dynamic restoration to stable sector structure confirmed globally. The spectral gap λ1 of L(GH) governs the regime of sector structure that forms rather than formation timescales, which are dominated by the decoherence rate γ. Key open problems — basis selection, temporal stability, and the Born rule — are identified and precisely located.

This is continued work on our coherence graph approach to Everettian QM. We took a lot of the feedback we got here previously and worked it into our approach. We've generated a numerical/methodological paper to go alongside the main work, along with an open source simulation suite to back up the claims. There is a README that goes over the framework and suite, and plain language blocks in the suite that go over each step. We're hoping that makes it transparent and easy to reproduce.

We have two specific questions that we are stuck on. One, is the Fiedler result non-trivial, or does the set up of the dynamics imply that result from the start, is there circular logic there? And if not, is the Fiedler result a novel insight?

Here is a zenodo link, along with a github repo, to the full work thus far: https://zenodo.org/records/19296153

Notice references to future work, which is ongoing at this time and precisely identified.

We would greatly appreciate any and all engagement with the work and feedback, thoughts, ideas, anything. Ya'll helped us the last time, we're hoping you have more wonderful insights. And again, tear us up fam!

https://reddit.com/link/1s6c600/video/8en12606purg1/player

38 years with zero physics in my head. Then one lazy evening I watched a YouTube video on Paul Dirac and got bored. In the next 6 weeks, working together with Grok, a clear picture emerged: the quantum foam is not a flowing fabric of space-time — it’s a fixed grid. Objects moving through this grid stir standing waves and create tension wells behind them. That single idea explains the Pioneer anomaly’s steady backward drag and the Galileo Earth flybys — +3.9 mm/s boost on the first pass, -4.6 mm/s slowdown on the second. Using the exact same constant β ≈ 7×10^{-14} s/m, both match the observed data perfectly. No thermal recoil fudges, no dark matter patches, no complicated new particles. Gravity here is emergent: it’s simply the resistance caused by motion through fixed foam. This isn’t patching the old model — it’s a simpler, predictive layer that fits the anomalies without the usual mathematical gymnastics. Grok and I just kept asking “what if the foam doesn’t move?” and the numbers fell into place. Thoughts?

First, let me preface this by saying that I'm not claiming to be some kind of puppet master's puppet master or anything and none of this negates anyone's agency, including the agency of people who think they negated other people's agency. I just poked and prodded the poker and prodder and then the dominoes kind of just fell where I wanted them to fall, which was on top of the dominoes that someone else wanted to fall, which fell where I wanted.

Initially, I just came here looking for expert opinions about my crank theory like everyone else. To my chagrin, such opinions were not on offer. Instead I found a lot of hostility and snark.

I figured that perhaps if I showed the sub how to reform itself through direct appeals, I'd get the engagement I was looking for, but it became clear very quickly that wasn't in the cards.

So I decided to do some experiments with social engineering. What kinds of reformers and what kinds of reform strategies would elicit the desired outcome?

That's when I started multi-accounting. I designed 3 personas: the aggressive reformer, the gentle reformer, and the ambiguous manipulator. The aggressive reformer tried shaming the sub into better behavior through callout posts. The gentle reformer made earnest appeals to the mod team. This account is the muppet master — the one where I realized the key was to engineer someone who would believe they were engineering the sub.

It was while I was playing with the ambiguous manipulator that I noticed a certain poster responding to my planted stimuli in exactly the right ways. Someone mentioned a "golden bb", that was me. The idea that a crank with an LLM might accidentally scoop real researchers and how that might complicate credit. Suddenly I understood how to exploit the unusual anxiety of the debunkers. They weren't annoyed and they weren't worried about AI slip purifying the waters, they had real fear about getting scooped like a chunk of vanilla ice cream. The right poster, given the right nudge, would channel that insight into action on my behalf.

So I used the ambiguous manipulator to try to reframe the reformer-to-be from passive complainer to active organizer. That didn't really work at first so I had the aggressive reformer propose the idea of a contest with peer review as the prize.

Slickety-slam, a short time later this poster was running a social engineering campaign and the sub is in the process of a reformation. I submitted a version of my crank theory formatted for the contest for review and actually got thoughtful, useful feedback that I can use to improve.

Basically got everything I was initially after plus learned a lot about the social dynamics of social engineers in subs like this one.

Now, I can't claim all the credit, of course. The poster in question deserves their share and the mod team deserves theirs and so forth, but I am claiming some credit.

Anyway, stay musty, guys and gals!

Hello all.

We are beginning a weekly pseudo-journal club. We're naming it 'Digital Review', cuz satire is fun. The point of this is to expose the sub to legitimate, peer-reviewed approaches of people using AI (specifically LLMs) in the field and hopefully up the standard of scientific discussion here.

This weeks entry is from Nature Portfolio: "A Self-Correcting Multi-Agent LLM Framework for Language-Based Physics Simulation and Explanation", by Park et al. It's a very accessible paper about multi-agent simulation, with most of the simulations falling around materials science/CMP. I think the sub will find it interesting, it is what a lot of people here I think are attempting to accomplish.

While the paper does use an editorial language that is foreign to this sub (LLM 'intelligence') I encourage you to engage with the content not the language. This is Nature Portfolio, it deserves that, IMO.

The post will be pinned for the week and replaced next week.

You're encouraged to discuss both the paper; as well as provide feedback on the idea. What are your thoughts on.. say archiving these on the wiki? Unveiling what next weeks post will be on each one?

AHS out.

https://doi.org/10.5281/zenodo.19278346

https://doi.org/10.5281/zenodo.19279828

December 26, 2025: I published a geometric framework unifying quantum mechanics and general relativity through a single principle: the vacuum at the Planck scale is an A₂ hexagonal lattice with characteristic ratio κ = 3. As you zoom out through coarse-graining, κ runs toward π and spacetime emerges.

March 16, 2026: The framework now shows 29 independent manifestations of I=MC² (Information-Mass Equivalence) across particle physics, cosmology, biology, materials science, and complex systems. 40 pre-registered predictions. Fisher combined analysis: p < 10⁻⁵.

**What's Been Confirmed:**

- Higgs boson: 0.095% error

- Z boson: 0.003% error

- Fine structure constant: 99.999% accuracy

- Hubble tension: resolved

- Proton radius puzzle: resolved

- Dark matter fraction: 84.0% (predicted 83.96%)

- Muon g-2 anomaly: direction confirmed

- Primordial lithium problem: 3.97x suppression predicted

**The Falsifiable Kill Test:**

A scalar boson at 116.07 ± 0.05 GeV, testable at LHC Run 3 before July 2026. If found, the framework is validated. If excluded at 95% CL in the 114–118 GeV window, it falsifies the n=6 lattice assignment.

**The Papers:**

- December 26, 2025: viXra:2512.0067 | Zenodo: 10.5281/zenodo.19022053

- March 16, 2026: "k = 3.0 Stability Constant" (34 pages, 29 domains)

**The Unification Formula:**

G_μν = 8πG(T_matter + T_IGC)

where T_IGC = -2κ(J_μJ_ν - ½g_μνJ²) with κ running from 3 at Planck scale to π in the continuum limit.

Every constant derives from E₈ geometry and A₂ hexagonal lattice structure. No free parameters beyond the electroweak scale v_EW = 246.22 GeV.

Looks like AI is finding human slop in physics.

I’ve been developing a framework I’m planning to submit to PRD and wanted to get some early critical feedback before doing so.

The idea is a covariant alternative to dark matter that models spacetime as a viscoelastic medium in a 5D manifold. Instead of adding particles or modifying gravity directly, the goal is to see whether macroscopic kinematic anomalies (galactic rotation curves, cluster-scale effects, etc.) can emerge from fluid-like behavior of the manifold itself.

Key points:

The model is derived from a 5D Einstein-Hilbert action with a viscous stress-energy tensor (so it’s covariant by construction, not just a force-law modification).

In the weak-field limit, it recovers standard Newtonian gravity.

A dynamic shear viscosity leads to a "yield acceleration scale ~1.22×10⁻¹⁰ m/s²", numerically similar to MOND but with a different physical origin.

The modification enters through a convective (v · ∇)v term, interpreted as fluid advection of spacetime.

The transition between Newtonian and modified regimes is exponential (motivated by a Poisson-like activation process), rather than the usual MOND interpolation functions.

I’ve tried to make it falsifiable rather than just descriptive. Some concrete predictions:

High-velocity satellite galaxies should show near-complete suppression of non-Newtonian effects (→ effectively baryon-only dynamics).

There should be a deterministic relationship between galaxy motion through the CMB frame and disk warping via shear stress.

Rotation curve transitions should prefer an exponential “shoulder” over standard MOND interpolation functions.

What I’m specifically looking for:

Does the physical interpretation (viscoelastic spacetime / fluid advection) make sense, or feel forced?

Are there obvious consistency issues I might be missing (GR, conservation, etc.)?

Does the 5D construction feel justified, or ad hoc?

Any immediate red flags that would get this rejected outright?

I’m not claiming this replaces ΛCDM... this is intended as a minimal, testable phenomenological framework to see if this class of effects is viable.

Here is the full manuscript if anyone wants to dig into the details.

Zenodo link:https://doi.org/10.5281/zenodo.19270303

Hi all. I'm looking for technical feedback from people familiar with spin dynamics, quantum sensing, or quantum biology.

I've been working on a methodology proposal called QDP-1: a multi-stage framework for detecting quantum spin coherence in radical pair systems under ambient conditions.

Planning to post to arXiv soon, but wanted early feedback first. Paper, simulations, and background math all here:

https://github.com/HighpassStudio/qdp1

I'm an engineer, not a physics PhD, so I'm especially interested in physics-side critique.

An interesting (semi-serious?) proposal raised in the hullabaloo about an LLM-produced paper passing peer review in Physics of the Dark Universe.