Logos of Aether: A Measurement-Theoretic Physics Engine in Rust/WGPU (v2.2.1)

I’ve been “winging it” for a year trying to formalize a theory that has been bouncing around my head since high school. After years of post-graduation struggle and feeling like I was failing at life, I finally funneled that obsession into 566 pages of theory and a working simulation engine. This is Logos-Core.

The goal: To prove the universe doesn’t compute with Zero or Infinity, but with Ratios in a resource-constrained substrate called the Monadic Plenum.

🛠 The Stack

  • Language: Rust (strictly leveraging zero-cost abstractions for the PlenumReal type).
  • Compute: WGPU / WGSL (the universe as a GL_RGBA32F state matrix).
  • Architecture: Ping-Pong Buffer Causality (strict temporal separation between frames).

The Core Axiom: $\pi$-Saturation

Standard physics breaks at high densities because linear addition ($1+1=2$) leads to singularities. My engine implements Plenum Addition ($\oplus$). Just as $c$ is the speed limit, $\pi$ is the saturation limit for information density.

$$x \oplus y = \frac{x + y}{1 + \frac{xy}{\pi^2}}$$

In v2.2.1, I’ve verified this on-hardware. While small increments appear linear, self-addition ($x \oplus x$) demonstrates a hard saturation at $\pi$, rendering singularities mathematically impossible at the architectural level.

The Teeter-Totter (Causal Budgeting)

We replace “Uncertainty” with Resource Constraints. The engine enforces a zero-sum trade-off between Temporal Resolution ($d_{self}$) and Spatial Resolution ($d_{world}$):

$$d_{self} \cdot d_{world} \le \pi c$$

If a Monad (pixel) requires high spatial precision, its internal update frequency (Time) must drop. In this architecture, Inertia is literally processing latency.

v2.2.1 “Soliton” Features:

  • Self-Propagating Solitons: High-pressure waves that wrap and interfere without dissipation.
  • The Chronoscope: A real-time GPU visualizer (cargo run --example chronoscope) for observing Aether ripple in a ping-pong buffer.
  • Singularity Prevention: No renormalization required; the math is self-braking.

Strategic Commons Licensing

This project is built to be a common possession of humanity.

  • Code (AGPL-3.0): Open source.
  • Theory (CC BY-NC-ND 4.0): The 573-page manuscript.
  • Math (Public Domain): Truth cannot be enclosed.

Repo: https://github.com/chrisnchips42-blip/logos-core

I’ve spent a long time fucking around in life, doing shit like trying to die and wasting a marriage. But this has bounced around my head 15 years and I think what I have is solid. I’m looking for feedback on the WGSL compute kernels and the Plenum_pingpong implementation. If the universe is a computation, it has a hardware limit—this is my attempt to map it.

  • AdrianTheFrog@lemmy.world
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    1 day ago

    This video is silly but does a good job of conveying how dumb chatbots can actually be especially if you think you’re onto something. Even though your idea makes sense (I don’t know enough about physics to say either way), keep in mind this is the thing that you’re sharing it with. If it’s dumb when asked a dumb question it’s not a good sign for how smart it will be when asked a smart question.

    https://www.youtube.com/watch?v=VRjgNgJms3Q

    Edit: just remembered about this person recently brought up on a discord server I’m on who was clearly having some chatbot break down over physics in a weird way https://github.com/aaronschutza/Research

    This one is particularly obviously nonsensical https://github.com/aaronschutza/Research/blob/main/APH_Quake.pdf

    Anyways the point is that AI is absolutely not trustworthy in any way