7 karma · joined December 23, 2025
Landauer showed that information processing is physical (heat). I’m just extending that logic: if the universe has to process too much state data in one spot, the cost isn't just heat—it's lag (Time Dilation).
It doesn't matter if we observe the mess; the system still has to render it.
English isn’t my first language, and I’m an independent researcher. I supplied the core intuition and overall architecture, and used an LLM as a research assistant for formal derivations and calculations.
Think of it as a human architect using modern tools to draft blueprints.
Since I can't create one in the lab, I'm betting on GHZ states to generate a steep enough local information gradient to yield a measurable effect. It's a scale-down, but unlike a black hole, we can test it today.
In this preprint, I model the universe as a Universal Computing System (UCS). The core hypothesis is what I call Information-Induced Time Dilation (ITD): regions with high information density may experience a local "processing lag," which we observe physically as time dilation.
Rather than replacing General Relativity, the idea is to extend it by adding an information entropy term to the stress-energy tensor. Importantly, the paper also outlines a concrete experimental test using Sr-87 optical lattice clocks that could, in principle, distinguish this effect from standard GR predictions.
I'd really appreciate feedback from people in systems, distributed computing, and physics: Does it make sense to think of spacetime as having computational bottlenecks, latency, or throughput limits?