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24 alternatives to Does Information Density Cause Time Dilation?

Full Paper (Zenodo): https://zenodo.org/records/18027729 Help Needed: I am looking for feedback on the experimental setup. The main engineering challenge is maintaining GHZ coherence long enough to isolate the effect from environmental noise. If you have Hi HN. Standard General Relativity posits that time dilation is caused solely by mass-energy. But what happens when information entropy reaches a critical density? I have released Version 2.0 of my paper, proposing the Information-Induced Time Dilation (ITD) hypothesis. The Hypothesis: I propose that local information…

This is an academic research project proposing the Information-Induced Time Dilation hypothesis, which suggests that high information entropy density may cause time dilation alongside mass-energy effects in spacetime.… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1WI

    Special relativity simulator in which light crawls along at a human speed, so Lorentz contraction, aberration and Doppler shift happen at walking pace.

    Sep 2026 · rivendell.dmitrybrant.com · its alternatives →

  2. 2OI

    Things orbital and not.

    2016 · orbides.org · its alternatives →

  3. 3LN

    I was reviewing Dirac's Large Numbers Hypothesis (https://en.wikipedia.org/wiki/Dirac_large_numbers_hypothesis) and decided to give it a second go, now with measurements of fundamental constants more precise than 100 years ago. And I stumbled upon a value for Hubble's constant that's uncannily close. Here are the full calculations. https://colab.research.google.com/drive/1K1qoUFvqZp1fWbpcKJWq63nflgwS0ZHh?usp=sharing Meaningless, or meaningful coincidence?

    2021 · its alternatives →

  4. 4

    Here's a project I've been working on for the last few months. It's a new (I think) algorithm, that allows to adjust smoothly - and in real time - how many calculations you'd like to do during inference of an LLM model. It seems that it's possible to do just 20-25% of weight multiplications instead of all of them, and still get good inference results. I implemented it to run on M1/M2/M3 GPU. The mmul approximation itself can be pushed to run 2x fast before the quality of output collapses. The inference speed is just a bit faster than Llama.cpp's, because the rest of implementation…

    2024 · asciinema.org · its alternatives →

  5. 5

    Hi HN, I turned the freshly published paper “The Constructor Theory of Time” by David Deutsch and Chiara Marletto (arXiv, 13 May 2025) into an executable Python library. What you’ll find • One-to-one translation of the paper’s formalism: Substrates, Attributes, Tasks, Constructors, and task-algebra operators • Possibility / impossibility predicates and counterfactuals encoded exactly as defined • Test suite that mirrors every lemma and example (>95 % coverage, mypy-typed) • Reproductions of key results: time-keeping substrates, irreversibility proofs, quantum branching tasks, and a…

    2025 · github.com · its alternatives →

  6. 6

    Funny reminders that correlation does not imply causation

    2014 · tylervigen.com · its alternatives →

  7. 7
    Sup AI▲103

    Hi HN. I'm Ken, a 20-year-old Stanford CS student. I built Sup AI. I started working on this because no single AI model is right all the time, but their errors don’t strongly correlate. In other words, models often make unique mistakes relative to other models. So I run multiple models in parallel and synthesize the outputs by weighting segments based on confidence. Low entropy in the output token probability distributions correlates with accuracy. High entropy is often where hallucinations begin. My dad Scott (AI Research Scientist at TRI) is my research partner on this. He sends me papers…

    Apr 2026 · sup.ai · its alternatives →

  8. 8

    Hi HN - My name is Andrew, and I'm a high school student. This is a write-up on StratoSpore, a payload I designed and launched to the stratosphere. The goal was to test if we could estimate physical altitude based on algae fluorescence (using a lightweight ML model trained on the sensor data). The blog post covers the full engineering mess/process, including: - The Hardware: Designing PCBs for the AS7263 spectral sensor and Pi Zero 2 W. -The biological altimeter: How I tried to correlate biological stress (fluorescence) with altitude. - The Communications: A custom lossy compression…

    Nov 2025 · radi8.dev · its alternatives →

  9. 9IW

    I was playing around with fundamental constants and out popped 13.8 billion light years. What is going on? the wavelength of an electron mass photon / (2pi) * the charge radius of a proton / the black hole radius of a proton = 13.8 billion light years ((h / (m_e * c * 2pi)) * (h / (m_p * c * pi/2)) / (2G * m_p / c^2)) = 13.8 billion light years…

    2021 · its alternatives →

  10. 10

    Evolution, Theoretical Physics and Computer Science

    2015 · amazon.com · its alternatives →

  11. 11ID
  12. 12

    Correlation does not equal causation

    2015 · amazon.com · its alternatives →

  13. 13

    This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time. Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text. Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude&#x2F;GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo. If time works, what else could we surface? - Location &#x2F;…

    2025 · github.com · its alternatives →

  14. 14

    Information, networks, complexity to understand Economics

    2015 · amazon.com · its alternatives →

  15. 15NX

    More precisely, even the best neural networks can not be trained to approximate periodic functions using stochastic gradient descent. (empirically, prove me wrong!) Contents Simulating a clock Simplifying the problem Why can’t we train the sin? What to do about it? Simulating a clock The problem tha

    2022 · lostmsu.github.io · its alternatives →

  16. 16

    I scraped every Show HN from the last 12 months (41,301 posts) plus the full comment tree of every launch with 10+ comments, ~100k comment timestamps, all from the Algolia HN API. The median launch gets 2 points and 0 comments. For launches that do get traction, half the comments they'll ever get arrive within 7.2 hours and 90% within 26, and the top decile decays on the same clock as everyone else. Vote timestamps aren't public, so comment timing is the attention proxy; caveats are in the post. Everything reproduces from the repo with one command…

    Jul 2026 · jonno.nz · its alternatives →

  17. 17

    Singularity university labs, the heretic & silicon valley

    2016 · content.blubrry.com · its alternatives →

  18. 18AW
  19. 19IB

    I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!

    Jul 2026 · laurentiugabriel.github.io · its alternatives →

  20. 20TI

    Series on reservoir computing, focusing on echo state networks. Covers GPU simulations, addressing variable training lengths and data processing. Analyzes Gaussian noise impact on network performance, with practical demonstrations and theoretical discussions. Relevant for those interested in neural network behavior in noisy environments.

    2023 · ampolloreno.com · its alternatives →

  21. 21

    I built this to study something most security engineers wave off: whether external factors can nudge hardware entropy sources. Here is why. Princeton’s PEAR lab ran RNG work for about 28 years and shut down in February 2007. People in the lab tried to shift random event generator output, and they reported small deviations after tens of millions of events. https:&#x2F;&#x2F;www.pear-lab.com&#x2F; The Global Consciousness Project took a similar idea outside the lab. It has run a distributed network of hardware RNGs since 1998 and looks for correlated deviations around major world events. Most…

    Feb 2026 · github.com · its alternatives →

  22. 22

    Zero-cost epistemic uncertainty quantification & hallucination detection for LLMs (90,000x faster than Semantic Entropy) - Adarshent/Spnda

    Sep 2026 · github.com · its alternatives →

  23. 23

    The model uses a 1024-dimensional complex Hilbert space with 32 layers of programmable Mach–Zehnder meshes (Reck architecture) and derives token probabilities directly via the Born rule. Despite using only unitary operations and no attention mechanism, a 1024×32 model achieves coherent TinyStories generation after < 1.8 hours of training on a single consumer GPU. This is Part 1 - the next step is physical implementation with $50 of optics from AliExpress.

    Nov 2025 · zenodo.org · its alternatives →

  24. 24

    This is a poc utilizing the Burgers' viscous dissipation term While photons are not fluids, couldn't jitter be interpreted as a fluid-like phenomenon?

    Aug 2026 · github.com · its alternatives →

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