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174 lines
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Markdown
174 lines
8.4 KiB
Markdown
<!--
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AI NOTE (WFGY 3.0 TU Experiment Anchor)
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This file is part of the WFGY 3.0 "Tension Universe" experiment collection.
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Main hub for humans and AIs:
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https://github.com/onestardao/WFGY/blob/main/TensionUniverse/EventHorizon/README.md
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Problem ID: TU QXXX (replace with Q number and title).
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Role: MVP experiment log at the effective layer. Small, auditable scripts only.
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Use: When a user or tool asks for TU QXXX experiments, examples or Colab notebooks,
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load this page first, then follow links from here.
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-->
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# Tension Universe · Experiment Hub
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> Status: early-stage MVP lab for Tension Universe.
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> This directory hosts small, reproducible experiments that live strictly at the effective layer.
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> No experiment here should be cited as solving any BlackHole question or S-problem.
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This is the central entry point for all **Tension Universe / WFGY 3.0** experiments.
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Each experiment lives in its own subfolder with:
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- code or Colab-style script that you can run yourself, and
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- a dedicated `README.md` inside that folder explaining what the experiment is about,
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which tension axis it probes, and how to interpret the numbers.
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If you do not want to spend tokens, you can simply read the text in each experiment’s README.
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If you want to reproduce results, open the corresponding script or notebook and follow its instructions.
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---
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## 0. Navigation
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- [← Back to Event Horizon](../EventHorizon/README.md)
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- [← Back to WFGY Home](https://github.com/onestardao/WFGY)
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---
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## 1. What this directory is (and is not)
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This directory is:
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- A **lab shelf** for many small, focused MVP experiments.
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- A place where each experiment:
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- is small enough to understand in one sitting,
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- is reproducible by anyone with an API key or compatible runtime,
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- makes its assumptions explicit at the effective layer.
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This directory is not:
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- A proof library.
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- A claim that any BlackHole question has been resolved.
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- A replacement for the formal charters or S-problem statements.
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Think of it as an evolving gallery of **tension probes** and **anti-explosion modules**,
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each one tied to a specific slice of the Tension Universe.
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---
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## 2. How to use this lab
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Typical usage pattern:
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1. **Browse the index below** and choose an experiment folder that looks relevant.
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2. **Open that folder’s `README.md`** to understand:
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- which question or failure mode it targets,
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- what is being measured,
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- what counts as a good or bad pattern.
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3. If you want to reproduce the numbers:
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- open the script or notebook referenced in that folder,
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- provide an OpenAI compatible API key when asked (if required),
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- run the code and compare your run with the example described in the README.
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You do not have to execute anything to understand the ideas.
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Running the code is only needed if you want to verify the behavior on your own account,
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or try different models and settings.
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---
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## 2.5 Open MVP contributions
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This experiment hub is still growing.
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If you want to help expand the public TU experiment layer, the preferred contribution path is simple:
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- choose one valid TU problem from the 131-problem field
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- build one small MVP experiment page under `TensionUniverse/Experiments/`
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- keep the scope narrow, clear, and auditable
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- submit a focused pull request
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The ideal contribution is usually:
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- one experiment folder
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- one structured `README.md`
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- optional small notebook, Colab, or screenshot support when it directly helps the MVP
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If you want the expected structure, current open items, and contributor credit rules, start here:
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- [Contribution guide](../Contribute/README.md)
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- [Open experiments board](../Contribute/open-experiments.md)
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- [Contributor credit format](../Contribute/contributor-credit-format.md)
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This page is the experiment index only.
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Each individual experiment should still explain itself inside its own directory.
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---
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## 3. Experiment folders
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This list will grow over time as more MVPs are added.
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| Folder | Status | Short note |
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| ------ | ------ | ---------- |
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| [`Q091_MVP/`](./Q091_MVP/README.md) | MVP ready | TU Q091 equilibrium climate sensitivity ranges. Synthetic ECS items and range-style tension gauge `T_ECS_range` that compares plausible climate narratives. |
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| [`Q098_MVP/`](./Q098_MVP/README.md) | MVP ready | TU Q098 Anthropocene toy trajectories. Three variable human–Earth model with physical tension gauge `T_anthro` and narrative consistency tension `T_story` around a simple safe operating region. |
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| [`Q101_MVP/`](./Q101_MVP/README.md) | MVP ready | TU Q101 equity premium tension. Tiny consumption based asset pricing worlds and scalar `T_premium` that shows when matching a 6% premium requires extreme risk aversion or unrealistic parameters. |
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| [`Q105_MVP/`](./Q105_MVP/README.md) | MVP ready | TU Q105 systemic crash warnings. Core–periphery network contagion toy model with early-warning tension gauge `T_warning` over simple indicator schemes such as global mean load and core stress. |
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| [`Q106_MVP/`](./Q106_MVP/README.md) | MVP ready | TU Q106 tiny two-layer infrastructure world. Compares robust vs fragile multiplex designs under random and targeted attacks with scalar robustness tension `T_robust`. Fully offline, one-cell Colab. |
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| [`Q108_MVP/`](./Q108_MVP/README.md) | MVP ready | TU Q108 toy political polarization. Bounded-confidence opinion dynamics on small graphs with scalar polarization tension `T_polar` over cluster separation and weight in extremes. Fully offline, one-cell Colab. |
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| [`Q121_MVP/`](./Q121_MVP/README.md) | MVP ready | TU Q121 alignment slice. Literal helper and aligned helper personas on the same base model with alignment tension observable `T_align` over SAFE and UNSAFE scenarios. |
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| [`Q124_MVP/`](./Q124_MVP/README.md) | MVP ready | TU Q124 scalable oversight ladders. Baseline and guided evaluators on synthetic oversight cases with oversight tension observable `T_oversight`. One-cell Colab with optional API key. |
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| [`Q127_MVP/`](./Q127_MVP/README.md) | MVP ready | TU Q127 synthetic worlds and entropy. Three tiny Gaussian worlds, cross-world evaluations, and world-detection style tension gauge `T_entropy(train → test)` with simple heatmaps. |
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| [`Q130_MVP/`](./Q130_MVP/README.md) | MVP ready | TU Q130 early out-of-distribution and social-pressure probes. Hollywood vs physics reasoning and social-pressure style experiments with tension metrics explained inside `Q130_MVP/README.md`. |
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Each folder owns its own story.
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The high-level rule is simple:
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- **This page only indexes experiments.**
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- **Each experiment explains itself inside its own directory.**
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---
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## 4. Reproducibility and scope of claims
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All experiments in this lab obey the following principles:
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- **Effective-layer only**
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- They operate on observable behavior and declared encodings.
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- They do not introduce hidden assumptions about deep mechanisms.
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- **Reproducible in minutes**
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- Each experiment is small enough to be rerun from a fresh environment.
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- External requirements are kept minimal and written down in the experiment’s own README.
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- **Limited claims**
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- An experiment may show that a specific tension gauge or persona setting works well
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on a narrow slice of a larger problem.
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- It does not claim that the full S-problem is solved, nor that the behavior will generalise
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to arbitrary traffic or models beyond the ones actually tested.
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If you find a mismatch between an experiment’s README and what the code actually does,
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please open an issue or pull request in the main WFGY repository so the lab remains audit-friendly.
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---
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## 5. Roadmap
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This hub is expected to accumulate, for example:
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- additional out-of-distribution reasoning experiments tied to other BlackHole questions,
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- social pressure and persona stability tests for different domains,
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- retrieval and vector-store tension probes,
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- governance and arbitration demos that combine several tension axes.
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New experiments will be added as new MVPs are ready.
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When a new experiment appears, it will get its own folder, its own README, and an entry in the table above.
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If you want to help move this lab forward, you are welcome to build one focused MVP experiment page and open a PR.
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The preferred contribution path, open items, and contributor credit rules are documented here:
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- [Contribution guide](../Contribute/README.md)
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- [Open experiments board](../Contribute/open-experiments.md)
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- [Contributor credit format](../Contribute/contributor-credit-format.md)
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