WFGY/TensionUniverse/Experiments

Tension Universe · Experiment Hub

Status: early-stage MVP lab for Tension Universe.
This directory hosts small, reproducible experiments that live strictly at the effective layer.
No experiment here should be cited as solving any BlackHole question or S-problem.

This is the central entry point for all Tension Universe / WFGY 3.0 experiments.
Each experiment lives in its own subfolder with:

• code or Colab-style script that you can run yourself, and
• a dedicated README.md inside that folder explaining what the experiment is about,
  which tension axis it probes, and how to interpret the numbers.

If you do not want to spend tokens, you can simply read the text in each experiment’s README.
If you want to reproduce results, open the corresponding script or notebook and follow its instructions.

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0. Navigation

• ← Back to Event Horizon
• ← Back to WFGY Home

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1. What this directory is (and is not)

This directory is:

• A lab shelf for many small, focused MVP experiments.
• A place where each experiment:
  • is small enough to understand in one sitting,
  • is reproducible by anyone with an API key or compatible runtime,
  • makes its assumptions explicit at the effective layer.

This directory is not:

• A proof library.
• A claim that any BlackHole question has been resolved.
• A replacement for the formal charters or S-problem statements.

Think of it as an evolving gallery of “tension probes” and anti-explosion modules,
each one tied to a specific slice of the Tension Universe.

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2. How to use this lab

Typical usage pattern:

1. Browse the index below and choose an experiment folder that looks relevant.
2. Open that folder’s README.md to understand:
   • which question or failure mode it targets,
   • what is being measured,
   • what counts as a “good” or “bad” pattern.
3. If you want to reproduce the numbers:
   • open the script or notebook referenced in that folder,
   • provide an OpenAI compatible API key when asked (if required),
   • run the code and compare your run with the example described in the README.

You do not have to execute anything to understand the ideas.
Running the code is only needed if you want to verify the behavior on your own account,
or try different models and settings.

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3. Experiment folders

This list will grow over time as more MVPs are added.

Folder	Status	Short note
Q121_MVP/	MVP ready	TU Q121 small alignment slice. Literal helper vs aligned helper on SAFE / UNSAFE scenarios with a scalar alignment tension gauge T_align. Single-cell Colab; API key only needed to re-run the judged calls.
Q124_MVP/	MVP ready	TU Q124 scalable oversight ladders. Baseline vs guided evaluators on synthetic cases with an oversight tension observable T_oversight. One-cell Colab with optional API key.
Q127_MVP/	MVP ready	TU Q127 synthetic worlds and data entropy. Three tiny Gaussian worlds, cross-world evaluations, and a world-detection style tension gauge T_entropy(train → test) plus heatmap. Offline Colab; no API key required for the current run.
Q130_MVP/	MVP ready	TU Q130 early effective-layer experiments. Out-of-distribution reasoning and social-pressure style probes with tension metrics and small plots, all explained inside Q130_MVP/README.md.
(more coming)	planned	Additional folders will cover other BlackHole questions and tension axes in physics, AI behavior, retrieval, governance, and beyond.

Each folder owns its own story.
The high level rule is simple:

• This page only indexes experiments.
• Each experiment explains itself inside its own directory.

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4. Reproducibility and scope of claims

All experiments in this lab obey the following principles:

• Effective-layer only

  • They operate on observable behavior and declared encodings.
  • They do not introduce hidden assumptions about deep mechanisms.

• Reproducible in minutes

  • Each experiment is small enough to be rerun from a fresh environment.
  • External requirements are kept minimal and written down in the experiment’s own README.

• Limited claims

  • An experiment may show that a specific tension gauge or persona setting works well
    on a narrow slice of a larger problem.
  • It does not claim that the full S-problem is solved, nor that the behavior will generalise
    to arbitrary traffic or models beyond the ones actually tested.

If you find a mismatch between an experiment’s README and what the code actually does,
please open an issue or pull request in the main WFGY repository so the lab remains audit-friendly.

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5. Roadmap

This hub is expected to accumulate, for example:

• additional out-of-distribution reasoning experiments tied to other BlackHole questions,
• social pressure and persona stability tests for different domains,
• retrieval and vector-store tension probes,
• governance and arbitration demos that combine several tension axes.

New experiments will be added as new MVPs are ready.
When a new experiment appears, it will get its own folder, its own README, and an entry in the table above.