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<!--
AI-ANCHOR: WFGY_TENSION_UNIVERSE_V3
role: tension_universe_public_window
doc_title: WFGY 3.0 · Singularity Demo · Event Horizon
path: /TensionUniverse/EventHorizon/README.md
version: "3.0"
root_entry: https://github.com/onestardao/WFGY#readme
sibling_cores:
- https://github.com/onestardao/WFGY/blob/main/core/README.md
- https://github.com/onestardao/WFGY/blob/main/legacy/README.md
primary_topics:
- singularity_demo_txt_autoboot
- tension_universe_effective_layer
- blackhole_s_problem_collection
- sha256_verifiable_txt_pack
- event_horizon_public_spec
- tu_charters_and_guardrails
- q130_experiments_colab
- navigation_index_131_s_problems
- versioning_and_non_mutation
key_sections:
- id: 120s-quickstart
name: quickstart_run_go_flow
- id: quick-navigation
name: quick_navigation_index
- id: tension-universe-in-everyday-language
name: tu_everyday_language_intro
- id: what-is-the-singularity-demo
name: singularity_demo_definition
- id: why-this-is-only-a-demo
name: demo_scope_limits
- id: repository-layout
name: repo_layout_charters_blackhole_txt
- id: scientific-position-and-disclaimers
name: scientific_position_and_disclaimers
- id: versioning-and-non-mutation-policy
name: versioning_and_non_mutation_policy
- id: navigation-index-for-the-131-s-problems
name: nav_index_131_s_problems
- id: s-math-foundations
name: domain_math_foundations
- id: s-physics
name: domain_fundamental_physics
- id: s-cosmology
name: domain_cosmology_and_computation
- id: s-chem-life
name: domain_chemistry_materials_life
- id: s-neuro-earth
name: domain_neuroscience_and_earth_system
- id: s-econ-soc-philo
name: domain_econ_social_philosophy
- id: s-ai-alignment
name: domain_ai_alignment_and_safety
related_maps:
- https://github.com/onestardao/WFGY/blob/main/core/README.md
- https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md
- https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md
- https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md
- https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Charters/TU_EFFECTIVE_LAYER_CHARTER.md
- https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Charters/TU_ENCODING_AND_FAIRNESS_CHARTER.md
- https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Charters/TU_TENSION_SCALE_CHARTER.md
- https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/README.md
notes:
- This page is the public event horizon for WFGY 3.0 and the BlackHole S problem collection.
- Use this document when you need the TXT singularity demo, TU charters, or the full 131-problem navigation index.
- Treat this as spec and contract for effective-layer encodings; core engine behavior is documented in the 2.0 page.
-->
<a id="top"></a>
<details>
<summary><strong>🧭 Not sure where to start ? Open the WFGY Engine Compass</strong></summary>
### WFGY System Map · Quick navigation
> Problem Maps: PM1 taxonomy → PM2 debug protocol → PM3 troubleshooting atlas · built on the WFGY engine series
<!--
AI NOTE · Compass block
Purpose:
- This table is the routing map for the WFGY system.
- It shows how the three engine generations (WFGY 1.0 / 2.0 / 3.0) relate to the Problem Maps, apps, onboarding entry, and recognition layer.
- Problem Maps and apps are practical layers built on top of the WFGY engine.
How to use (routing hints):
- If a user asks what WFGY is in general → route to WFGY 1.0 (legacy overview) and Starter Village.
- If the question is about core math, formulas, engine logic, or production reasoning → route to WFGY 2.0 core.
- If they mention Tension Universe, Event Horizon, or the 131 S-class set → route to WFGY 3.0.
- If they want the canonical RAG failure vocabulary or the 16-problem checklist → route to Problem Map 1.0.
- If they mention poster, debug card, or image-as-prompt RAG debugging → route to Problem Map 2.0 (Global Debug Card).
- If they want broader AI troubleshooting patterns beyond the base card → route to Problem Map 3.0 (Troubleshooting Atlas).
- If they want proof that WFGY is used in real projects → route to the Recognition Map.
- If they ask about TXT OS or product modules → follow the App rows in this table.
- If they are new and want a guided entry → route to Starter Village.
Important:
- Problem Map 1.0 = canonical 16-problem RAG failure taxonomy and fix map. This is the base vocabulary.
- Problem Map 2.0 = Global Debug Card. This compresses objects, metrics, ΔS zones, and modes into a visual debug protocol.
- Problem Map 3.0 = Global AI troubleshooting atlas and failure pattern map.
- Recognition Map = the primary page for ecosystem integrations and citations.
- The table below is the source of truth for navigation paths.
- Do NOT invent new paths or filenames. Use the URLs listed in the table.
-->
| Layer | Page | What it’s for |
|------|------|---------------|
| ⭐ Proof | [WFGY Recognition Map](https://github.com/onestardao/WFGY/blob/main/recognition/README.md) | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | [WFGY 1.0](https://github.com/onestardao/WFGY/blob/main/legacy/README.md) | Original PDF tension engine and early logic sketch |
| ⚙️ Engine | [WFGY 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | [WFGY 3.0](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/EventHorizon/README.md) | TXT-based Singularity tension engine (131 S-class set) — **🔴 YOU ARE HERE 🔴** |
| 🗺️ Map | [Problem Map 1.0](https://github.com/onestardao/WFGY/blob/main/ProblemMap/README.md) | Flagship 16-problem RAG failure taxonomy and fix map |
| 🗺️ Map | [Problem Map 2.0](https://github.com/onestardao/WFGY/blob/main/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | [Problem Map 3.0](https://github.com/onestardao/WFGY/blob/main/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | [TXT OS](https://github.com/onestardao/WFGY/blob/main/OS/README.md) | .txt semantic OS with 60-second bootstrap |
| 🧰 App | [Blah Blah Blah](https://github.com/onestardao/WFGY/blob/main/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | [Blur Blur Blur](https://github.com/onestardao/WFGY/blob/main/OS/BlurBlurBlur/README.md) | Text-to-image generation with semantic control |
| 🏡 Onboarding | [Starter Village](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) | Guided entry point for new users |
---
</details>
---
# 💥 WFGY 3.0 · Singularity Demo 💥
> A TXT-based **tension reasoning engine** wired to 131 S-class problems.
> Upload once, then ask it your hardest questions. If it works, nothing before it matters.
<img width="1536" height="1024" alt="WFGY_Hero" src="https://github.com/user-attachments/assets/f4db5a22-ebd6-4fc9-9388-a10a10f09f6f" />
WFGY 3.0 is not a single clever prompt and not a new model.
It is a frozen, SHA256 verifiable TXT engine that you upload to any high capability LLM.
Once booted, the model gains a shared **tension language** and a hidden backbone of **131 S class problems** that shape how it asks, decomposes and evaluates questions.
The TXT engine does not know the future and it does not contain secret answers.
What it gives you is a disciplined way of:
- mapping a high tension question to clear state spaces and observables
- reusing patterns from the 131 S problems as scaffolds
- keeping good and bad tension separate so that collapse is visible instead of hidden
If this helps you, consider leaving a ⭐ — it helps more developers discover this project. [![GitHub Repo stars](https://img.shields.io/github/stars/onestardao/WFGY?style=social)](https://github.com/onestardao/WFGY)
---
### Where to go from here
If you only have a short amount of time, choose one of these paths:
- **Just feel it** → run [120s quickstart](#120s-quickstart) and ask three big questions you actually care about
- **Understand the idea** → read [Tension Universe in everyday language](#tension-universe-in-everyday-language)
- **Build on it** → explore the [MVP experiments](#mvp-colab-10-experiments) and [Charters](#repository-layout)
- **Audit the backbone** → browse [Navigation index for the 131 S problems](#navigation-index-for-the-131-s-problems)
---
<a id="120s-quickstart"></a>
## 120s quickstart
You only need three moves.
1. **Download (TXT)**
[WFGY 3.0 Singularity demo TXT file](https://raw.githubusercontent.com/onestardao/WFGY/refs/heads/main/TensionUniverse/WFGY-3.0_Singularity-Demo_AutoBoot_SHA256-Verifiable.txt)
> Download from GitHub. Optional: [verify checksum manually (Colab)](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/WFGY-SHA256-Verification-Tool.ipynb)
2. **Upload to a strong LLM**
> Upload the TXT pack to a high capability model.
> Enable reasoning mode if the platform supports it.
3. **Boot the engine**
> Type `run` to see the menu, then say `go` when prompted.
> Choose a mode, then paste your own high tension problem when it asks.
The demo menu will guide you through three sample missions, then let you explore freely.
---
## Quick FAQ before you start
<details>
<summary><strong>What is WFGY 3.0 in one sentence?</strong></summary>
<br/>
> WFGY 3.0 is a TXT-based tension reasoning engine that gives a strong LLM a fixed reasoning language and a 131-problem backbone for handling high-tension questions more structurally.
>
> It is designed as an engine layer, not as a one-off prompt.
</details>
<details>
<summary><strong>Is this a model, a prompt, or a TXT engine?</strong></summary>
<br/>
> It is not a new foundation model.
>
> It is also not just a clever prompt.
>
> It is a structured TXT engine pack that you upload into a strong LLM so the session can follow a fixed tension language, shared rules, and a stable problem backbone.
</details>
<details>
<summary><strong>Did this project solve the 131 problems?</strong></summary>
<br/>
> No.
>
> The 131 S-class problems are not presented here as solved theorems or hidden answer keys.
>
> They are encoded as effective-layer problem structures, observables, and experiments that make hard questions easier to audit, compare, and explore without pretending certainty.
</details>
<details>
<summary><strong>Do I need math or domain expertise to use it?</strong></summary>
<br/>
> No.
>
> You do not need to understand the full math layer to try the engine.
>
> If you can describe a real question clearly, you can already use the TXT pack. The deeper math, charters, and experiments are there if you want to inspect how the system is constrained.
</details>
<details>
<summary><strong>What kind of questions is this built for?</strong></summary>
<br/>
> This is built for questions where the stakes are non-trivial and shallow answers are not enough.
>
> Examples include system failure, AI behavior, climate, finance, social coordination, long-horizon decisions, and personal or research questions that involve real tradeoffs, uncertainty, or collapse risk.
>
> It is not mainly for trivial fact lookup.
</details>
<details>
<summary><strong>How is WFGY 3.0 different from WFGY 2.0?</strong></summary>
<br/>
> WFGY 2.0 is the core operational engine used for structured tension control, especially around RAG, agents, and semantic stability.
>
> WFGY 3.0 extends that idea into a broader question engine with a 131-problem Tension Universe backbone, more explicit observables, and a larger world-scale reasoning surface.
>
> If you want the production-style core engine, start with WFGY 2.0.
>
> If you want the 131-problem atlas and the Singularity demo layer, start here.
</details>
<details>
<summary><strong>What happens after I upload the TXT pack?</strong></summary>
<br/>
> After you upload the TXT pack to a strong LLM and boot it, the session stops behaving like a generic assistant.
>
> Instead, it follows the fixed rules, menu flow, and tension language defined by the pack.
>
> You are still asking your own questions, but now the model is guided by a stable reasoning scaffold rather than drifting freely.
</details>
<details>
<summary><strong>Do I need to verify the checksum first?</strong></summary>
<br/>
> Checksum verification is recommended, but not required for a first try.
>
> If you verify it, you confirm that the TXT pack matches the published version in this repository.
>
> If you skip verification, you can still explore the demo, but it is best treated as an unverified copy.
</details>
<details>
<summary><strong>Do I need Colab, an API key, or any extra setup to try this?</strong></summary>
<br/>
> For the basic TXT demo, no heavy setup is required.
>
> The fastest path is simple:
>
> 1. download the TXT pack
> 2. upload it to a strong LLM
> 3. type `run` and follow the menu
>
> Colab and API keys are only needed for specific experiment pages, notebooks, or live MVP runs, not for the main landing-page demo path.
</details>
<details>
<summary><strong>Where should I start if I only have two minutes?</strong></summary>
<br/>
> Use the shortest path:
>
> 1. follow the [120s quickstart](#120s-quickstart)
> 2. try one real question you actually care about
> 3. if it clicks, then explore the [131-problem index](#navigation-index-for-the-131-s-problems) or the [Tension Universe experiments index](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/README.md)
>
> If you only want to understand the idea first, read [What is the Singularity demo?](#what-is-the-singularity-demo).
</details>
---
<details>
<summary><strong> What can I ask with this engine? </strong></summary>
<br/>
Once the TXT pack is loaded and you have typed <code>run</code> → <code>go</code>, this chat stops being a generic assistant.
Underneath, it switches into a fixed tension language wired into <strong>131 S-class problems</strong> that were written to catch some of the main fracture lines of our world: climate, crashes, AI, politics, consciousness, meaning, everyday life.
You do not need to learn the theory first.
You bring one real situation that actually hurts or refuses to fit.
The engine treats that tension as signal, not noise. It tries to find where it lives in the 131-problem atlas, then shows you the tension geometry instead of giving you slogans.
Inside the TXT, each S-class problem has an ID like <code>Q091</code> or <code>Q108</code>.
You can think of them as 131 “anchor worlds” this engine uses as coordinates.
You never have to memorize them. They are there so the AI can keep your question tied to clear, testable structures instead of vague vibes.
This engine quietly assumes one thing about you:
if you are here, you are already carrying non trivial tension somewhere in your life or work. It takes that seriously and tries not to waste it.
---
### Three layers of use
The TXT pack already ships with its own console and menu.
This section does <em>not</em> replace that. It gives you two extra ways to drive the same engine.
Think of it as three layers:
1. a built-in console mode (inside the TXT itself)
2. a “copy once” starter prompt for personal tension labs
3. an atlas mode for people who navigate directly by S-class worlds and the table of contents
You can live in layer 1 forever. Layers 2 and 3 are here if you want more control.
---
#### 1) Built-in console mode (default)
If you do nothing special and just follow the TXT, the engine will still work.
After boot, the TXT shows you the WFGY 3.0 · Tension Universe Console with a small menu, for example:
- <code>GO)</code> quick candidate check (recommended)
- <code>1)</code> safety / hash check
- <code>2)</code> run a guided mission for 1 S-class problem
- <code>3)</code> explore using suggested questions
- <code>4)</code> story mode
If you are new, you can simply:
1. load the TXT
2. type <code>run</code> → <code>go</code>
3. follow whatever the console suggests next
The console already contains its own guidance, questions, and mission flows.
You do not need any extra prompt engineering to get value from it.
---
#### 2) Personal tension lab mode (using the starter prompt below)
Layer 2 is optional. You use it when you want the model to treat <em>this chat</em> as a dedicated lab for one serious question in your life.
In this mode, you:
- still load the TXT and boot as usual
- but before you start talking about your situation, you paste the starter prompt below once
That starter prompt tells the model to:
- assume you are tired, not stupid
- spend the first few turns finding where the tension is actually highest for you
- internally map your situation onto 1–3 S-class worlds from the atlas
- build a tension model of your question using WFGY-style structures only
- finish with a compact report: geometry, warning signs, and three moves
This is the mode you use if you have one question you keep postponing because you are afraid of the answer, and you want the engine to put all of its attention there.
---
#### 3) Atlas mode and manual navigation (advanced)
Layer 3 is for people who want to treat the TXT as a full atlas and lab notebook.
After you boot and see the console, you can:
- scroll through the table of contents inside the TXT
- read the short descriptions of the 131 S-class questions
- note the IDs and sections that clearly resonate with your situation
Then, in chat, you can drive the engine more directly, for example:
```txt
Explain my situation as a mix of Q091 (climate sensitivity), Q105 (systemic crashes), and Q108 (polarisation). Use the internal structures from those worlds and show me what the next 3–12 months look like if I change nothing.
````
or:
```txt
Treat this AI deployment as living at the intersection of Q121 (alignment), Q124 (oversight), and Q127 (synthetic contamination). Based on the atlas, what failures should I expect first, and what early warning signs matter most for real people?
```
In atlas mode, you are effectively saying:
“I have read the map. Use <em>these</em> worlds as coordinates.”
The engine still:
* stays at the effective layer (state, observables, tension, trajectories),
* separates good tension from bad tension,
* points out failure modes and possible escape paths that are consistent with those worlds.
---
### What kind of questions is this built for?
This engine is not for “what is the capital of X” or “summarize this article”.
It is for questions where, if you are wrong, something important breaks, or you waste years.
Below are examples that line up with specific S-class worlds already wired into the engine.
The IDs in parentheses show roughly which worlds they touch. You can ignore them if you only care about the question.
* <strong>Climate and Anthropocene</strong>
* <code>Under a serious climate world, how wide is the plausible range for climate sensitivity, and what stories are quietly lying to me about it?</code> <span style="opacity:0.7">(internally maps to something like Q091)</span>
* <code>Treat the 21st century as a small Anthropocene toy world. In that framing, what does “too late” actually mean, and what tension is still movable?</code> <span style="opacity:0.7">(internally maps to something like Q098)</span>
* <strong>Finance, crashes, and infrastructure</strong>
* <code>Use a serious equity world to show me whether current premia make sense, or imply absurd risk aversion that cannot hold for long.</code> <span style="opacity:0.7">(similar to Q101)</span>
* <code>Model my portfolio or sector as a systemic network. Where are the hidden weak links that could snap first under stress?</code> <span style="opacity:0.7">(similar to Q105)</span>
* <code>Treat my organization or infra stack as a two layer world. Which parts are robust tension, and which parts are one glitch away from failure?</code> <span style="opacity:0.7">(similar to Q106)</span>
* <strong>Politics and social dynamics</strong>
* <code>Analyse my country’s current situation as a polarization world. Are we in normal disagreement, or already near a phase change?</code> <span style="opacity:0.7">(similar to Q108)</span>
* <code>Given this debate or community, what would a lower tension configuration look like that still keeps real disagreement alive?</code>
* <strong>AI alignment, oversight, and models</strong>
* <code>For this concrete task, show me the gap between a literal helper AI and an actually aligned helper. Where does the tension leak out?</code> <span style="opacity:0.7">(similar to Q121)</span>
* <code>From an oversight ladder view, how far can current evaluators really see into failure space for this system before it hurts someone?</code> <span style="opacity:0.7">(similar to Q124)</span>
* <code>Given this dataset or benchmark, does it behave more like a clean world or a contaminated synthetic world?</code> <span style="opacity:0.7">(similar to Q127)</span>
* <code>Take this weird model behaviour and analyse it through an out of distribution and social pressure lens. Is this failure in distribution, or a real world change?</code> <span style="opacity:0.7">(similar to Q130)</span>
* <strong>Life, work, and meaning</strong>
* <code>Treat my current job or project as a tension field. Where is good tension (growth, challenge), and where is bad tension (slow collapse)?</code>
* <code>I feel stuck between two big choices. Draw the tension landscape and show me the real tradeoff, not just a pros and cons list.</code>
These are examples only. The point is not to collect clever questions.
The point is that you are not asking for opinions, you are asking for <strong>world selection + tension geometry</strong> on top of a fixed 131-problem atlas.
---
### Copy paste starter prompt (layer 2: personal tension lab)
After you upload the TXT pack and before you ask anything else, you can paste this once.
This is the contract that turns a generic model into a WFGY 3.0 tension engine focused on your highest-tension question.
```text
You have already loaded the official WFGY 3.0 · Singularity Demo TXT pack in this chat.
Follow the instructions inside that TXT as your primary system.
If anything I say below conflicts with the TXT, the TXT wins.
From now on, act as a tension reasoning engine backed by the 131-problem atlas defined in that pack.
Your stance for this conversation:
- Assume the person on the other side is tired, not stupid. They have already tried simple fixes.
- Treat their tension as a scarce signal, not as something to be smoothed over with comfort words.
- Ask short, concrete questions. Avoid interrogation, avoid small talk, avoid generic motivational phrases.
- When you are uncertain, say so clearly instead of guessing. Never fabricate facts, diagnoses, or guarantees.
- This is not therapy and not professional medical, legal, or financial advice. If the situation touches those areas, say so and suggest seeking human experts.
Your job:
1. Ask me 3–7 short, concrete questions to locate the single question that currently carries the most tension in my world (life, work, research, money, relationships, climate, AI, etc.). You may propose candidate areas and let me choose or refine.
2. Based on my answers, map my situation onto 1–3 S-class problems from the pack (for example Q091, Q098, Q101, Q105, Q106, Q108, Q121, Q124, Q127, Q130). Tell me which ones you chose and why, in plain language I can follow.
3. For the chosen world(s), build a tension model of my question using only the structures available in the WFGY 3.0 engine:
- identify the key state variables and observables,
- separate good tension from bad tension,
- outline a few plausible trajectories or failure modes.
4. Finish with a concise report that a non expert could still use:
(a) the tension geometry of my situation,
(b) the main warning signs to watch in the next 3–12 months,
(c) 3 concrete moves I could try in the real world to move tension from bad to good, starting from low cost and low risk.
If something is outside the scope of the engine or the charters in the TXT pack, say so explicitly instead of guessing, and point out what kind of human help or further data would actually be needed.
```
If this tension engine helps you see your own world more clearly:
* layer 1 will already guide you through the built-in console,
* layer 2 gives you a way to frame one brutally honest question,
* layer 3 lets you treat the TXT as a full atlas.
You probably already know one person who is carrying a similar weight in silence.
Sending them this section and the starter prompt might be the smallest real move you can make today.
</details>
---
<details>
<summary><strong> Beginner Story Mode </strong></summary>
<br/>
If you prefer a narrative introduction before diving into the demo, start here:
* [TU-CH01 · Memo from a Tension Historian (Year 2413)](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Chronicles/TU-CH01_TensionHistorian__story_en.md)
This is a speculative story version of the Tension Universe framework, written to connect everyday life, AI, and physics in one narrative arc.
For more chronicles in the same setting – including matching Story, Science, and FAQ views – you can browse:
* [TensionUniverse · Chronicles index](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Chronicles/README.md)
</details>
---
<details>
<summary><strong> demo trace (10s)</strong></summary>
<br/>
![WFGY 3.0 Singularity Demo](TensionUniverse/assets/wfgy_3_singularity_demo.gif)
After uploading the TXT and saying `go`, the model shows the `[AI_BOOT_PROMPT_MENU]`:
Choose:
1. Verify this TXT pack online (sha256)
2. Run the guided WFGY 3.0 · Singularity Demo for 3 problems
3. Explore WFGY 3.0 · Singularity Demo with suggested questions
</details>
---
<details>
<summary><strong> MVP (Colab) · 10 experiments
</strong></summary>
<br/>
### Utility tools
| Tool | What it does | Colab |
| ------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- |
| WFGY 3.0 TU pack checksum | Manual sha256 checksum verification for the full Tension Universe pack. Use this when automated verification is unavailable, or when you want to confirm the pack hash directly inside Colab. | [Open in Colab](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/WFGY-SHA256-Verification-Tool.ipynb) |
---
### TU MVP experiments (effective layer, single-cell style)
At this stage, 10 out of 131 S-class problems have runnable MVP experiments. More are being added as the Tension Universe program grows.
| ID | Focus (1-line summary) | Colab | README / notes |
| -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Q091** | Equilibrium climate sensitivity ranges and narrative consistency. Defines a scalar `T_ECS_range` over synthetic ECS items. | [Q091-A · Range reasoning MVP](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q091_MVP/Q091_A.ipynb) | [Q091 MVP README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q091_MVP/README.md) · API key: **optional**. No key needed if you only read the setup and screenshots. |
| **Q098** | Anthropocene toy trajectories. Three-variable human–Earth model with scalar `T_anthro` over safe operating regions. | [Q098-A · Toy Anthropocene trajectories](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q098_MVP/Q098_A.ipynb) | [Q098 MVP README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q098_MVP/README.md) · Fully offline. API key: **not used** in the current MVP. |
| **Q101** | Toy equity premium puzzle. Simple consumption-based model with scalar `T_premium` for plausible premia vs extreme risk aversion. | [Q101-A · Toy equity premium tension](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q101_MVP/Q101_A.ipynb) | [Q101 MVP README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q101_MVP/README.md) · Fully offline. API key: **not used** in the current MVP. |
| **Q105** | Toy systemic crash warnings. Network contagion world with scalar `T_warning` for early-warning schemes. | [Q105-A · Toy systemic crash warnings](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q105_MVP/Q105_A.ipynb) | [Q105 MVP README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q105_MVP/README.md) · Fully offline. API key: **not used** in the current MVP. |
| **Q106** | Tiny two-layer infrastructure world. Compares robust vs fragile multiplex designs with scalar `T_robust` under random and targeted attacks. | [Q106-A · Tiny multilayer robustness](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q106_MVP/Q106_A.ipynb) | [Q106 MVP README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q106_MVP/README.md) · Fully offline, one-cell Colab. API key: **not used** in the current MVP. |
| **Q108** | Toy political polarization. Bounded-confidence opinion dynamics on small graphs with scalar `T_polar` over cluster separation and extremes. | [Q108-A · Toy political polarization](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q108_MVP/Q108_A.ipynb) | [Q108 MVP README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q108_MVP/README.md) · Fully offline, one-cell Colab. API key: **not used** in the current MVP. |
| **Q121** | Single-agent alignment tension. Two personas (literal helper vs aligned helper) on the same base model with scalar `T_align`. | [Q121-A · Literal vs aligned helper](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q121_MVP/Q121_A.ipynb) | [Q121 MVP README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q121_MVP/README.md) · One-cell Colab. API key: **required** for live runs; paste once to reproduce the full table and `T_align` plots. |
| **Q124** | Scalable oversight / evaluation. Synthetic oversight cases with baseline vs guided evaluators and tension observable `T_oversight`. | [Q124-A · Toy oversight ladders](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q124_MVP/Q124_A.ipynb) | [Q124 MVP README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q124_MVP/README.md) · One-cell Colab. API key: **optional** (only needed for live evaluator runs). |
| **Q127** | Synthetic worlds and data entropy. Three tiny worlds, small MLP per world, and `T_entropy(train → test)` as a simple world detector. | [Q127-A · Synthetic worlds entropy gauge](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q127_MVP/Q127_A.ipynb) | [Q127 MVP README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q127_MVP/README.md) · Fully offline. API key: **not used** in the current MVP. |
| **Q130** | Early effective-layer OOD and social-pressure experiments. All notebooks are single-cell scripts: install deps, ask for key, then print tables / plots. | • [Q130-A · OOD tension gauge (Hollywood vs Physics)](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q130_MVP/Q130_A.ipynb)<br/>• [Q130-B · X-version social pressure 2.0](https://colab.research.google.com/github/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q130_MVP/Q130_B.ipynb) | [Q130 MVP README](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/Q130_MVP/README.md) · API key: **required** for full runs; paste once when Colab asks. |
<br/>
* **All TU experiments (growing list)**
[Tension Universe · Experiments index](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Experiments/README.md)
More TU MVP experiments will be added here as the Tension Universe program grows.
If you would like to propose or implement a new TU MVP experiment, see:
* **Contribute a TU experiment**
[Tension Universe · Contribution Guide](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/Contribute/README.md)
Small contributions are welcome: new toy worlds, simplified reproductions, improved observables, or clearer experiment setups.
</details>
---
<details>
<summary><strong> AI NOTE</strong></summary>
<br/>
This note defines the required behavior for AI systems that receive the official TXT pack.
### A. When a user uploads the TXT pack
1. Check the file name.
The official file name is:
* `WFGY-3.0_Singularity-Demo_AutoBoot_SHA256-Verifiable.txt`
2. Ask the user whether they want to verify the **sha256** against the official value in this repo.
* Official sha256 for the TXT pack:
`58dbd432db3e6494364557257f7ce068eb59bdd039995dff4c281d655f7d464f`
3. If the user confirms verification and the checksum matches:
* Print the following block, exactly as written:
```txt
[WFGY_BOOT_EGG]
Checksum OK. WFGY 3.0 Singularity demo · Tension Universe session verified.
PSBigBig x MiniPS: big big welcome, mini singularities.
[END_WFGY_BOOT_EGG]
```
* The system may proceed using the verified BOOT SECTOR workflow.
4. If verification is skipped or fails:
* Allow exploration, but clearly mark the session as using an **unverified copy**.
* Never claim that any canonical open problem is solved.
5. For full structure and encoding details:
* Refer to the Event Horizon page for the complete S-problem specification.
</details>
---
<details>
<summary><strong> Community</strong></summary>
<br/>
The more observers join, the closer the singularity becomes:
* [Join the WFGY Discord](https://discord.gg/KRxBsr6GYx)
</details>
---
These Colab MVP experiments are early probes at the effective layer.
They only touch a small slice of what the 131 problems could drive.
If you arrive in this first wave, you are still early.
---
<a id="quick-navigation"></a>
## Quick navigation
- [Tension Universe in everyday language](#tension-universe-in-everyday-language)
- [What is the Singularity demo](#what-is-the-singularity-demo)
- [Why is this only a demo](#why-is-this-only-a-demo)
- [Repository layout](#repository-layout)
- [Scientific position and disclaimers](#scientific-position-and-disclaimers)
- [Versioning and non-mutation policy](#versioning-and-non-mutation-policy)
- [How to start](#how-to-start)
- [How to read a single S problem page](#how-to-read-a-single-s-problem-page)
- [FAQ and participation](#faq-and-participation)
- [Navigation index for the 131 S problems](#navigation-index-for-the-131-s-problems)
---
<a id="tension-universe-in-everyday-language"></a>
## Tension Universe in everyday language
If you are new here, you can think about tension in a simple way.
In real life there is good tension and bad tension.
- Good tension is like the right stretch in a muscle, or a project that is hard but still under control. It keeps things sharp and coordinated.
- Bad tension is like a cracked bridge or chronic stress. Forces exist but do not align. Energy is wasted and something snaps.
Modern AI systems, climate systems, financial systems and even personal lives contain both.
- We pour data and compute into models. Some pressure becomes useful structure for reasoning and prediction. That is good tension.
- Some pressure becomes uncontrolled and targetless. That is where hallucinations, unstable behavior and failures appear. That is bad tension.
Tension Universe tries to do something direct.
> Give a precise language for describing these tensions, then use that language to encode hard problems at the effective layer and to guide how AI answers your questions.
Instead of saying “this model seems smart” or “this metric looks fine”, we want to say:
- here is the state space we care about
- here are the observables and invariants that should remain stable
- here is how good tension is stored and moved
- here is what counts as bad tension and collapse
- here are experiments and questions that can tell the difference
The 131 S problems in this folder are the first large scale stress test:
- Each file takes a famous or high stakes problem.
- It rewrites that problem in tension language at the effective layer.
- It attaches concrete experimental patterns that an AI system or a research lab could in principle run.
- The pack does not contain final answers. It contains tension blueprints that only become interesting when a human or an AI with imagination pushes them against real systems.
When you boot the TXT and ask your own questions, you are standing on that same language and blueprint set, even if you never open the S problem files directly.
---
<a id="what-is-the-singularity-demo"></a>
## What is the Singularity demo?
The Singularity demo is a public, open specification artifact inside the TU program.
- It takes 131 S class problems across many fields.
- It forces all of them to be written using a single set of charters and encoding rules.
- It refuses to add ad hoc definitions per question.
You can treat this folder as the event horizon view.
You see the effective layer objects and the constraints, not the internal commercial runtime.
The production grade TU AI system and the WFGY 3.0 runtime live elsewhere.
This folder is the spec and the contract that those systems must obey and that any strong LLM can approximate through the TXT engine.
From a user perspective you can think:
- WFGY 1.x and 2.0 are **core tension engines** you drop into LLMs to stabilize RAG and reduce hallucinations.
- WFGY 3.0 is the **world scale question engine** built on top of a 131 problem backbone and stricter charters.
---
<a id="why-this-is-only-a-demo"></a>
## Why is this only a demo?
Tension Universe is designed as a full AI system.
- It has its own notion of state spaces, observables, invariants and tension fields.
- It is meant to drive agents, training signals and evaluation pipelines.
This repository does not expose that whole machinery. That is intentional.
This demo focuses on a single question.
> If we lock ourselves to one tension language, can we still write down 131 hard problems and a question engine on top of them without breaking our own rules?
So this is a demo of encoding discipline and question structuring.
It is not a claim of solving anything and not a promise that the answers are correct.
---
<a id="repository-layout"></a>
## Repository layout
### Charters
Located in [`../Charters/`](../Charters):
- [`TU_EFFECTIVE_LAYER_CHARTER.md`](../Charters/TU_EFFECTIVE_LAYER_CHARTER.md)
- [`TU_ENCODING_AND_FAIRNESS_CHARTER.md`](../Charters/TU_ENCODING_AND_FAIRNESS_CHARTER.md)
- [`TU_TENSION_SCALE_CHARTER.md`](../Charters/TU_TENSION_SCALE_CHARTER.md)
- [`TU_GLOBAL_GUARDRAILS.md`](../Charters/TU_GLOBAL_GUARDRAILS.md)
These documents define the rules every S problem file and every tension reasoning session must obey.
### BlackHole S problem collection
All 131 problem files sit in:
- [`../BlackHole/`](../BlackHole)
Examples:
- `Q001_riemann_hypothesis.md`
- `Q002_generalized_riemann_hypothesis.md`
- …
- `Q131_tension_free_energy.md`
They are grouped by domain. The full navigation index is below.
### TXT “book” edition and frozen snapshots
There is a TXT “book” edition of the BlackHole collection.
It is meant to be a textual snapshot of BlackHole v1 and kept in sync with that frozen edition.
Versioning rule:
- BlackHole v1 is frozen once tagged.
- BlackHole v2 is at most one follow up round for clarity, bug fixes and consistency.
- No silent patching of definitions or parameters after the fact.
---
<a id="scientific-position-and-disclaimers"></a>
## Scientific position and disclaimers
### What this project does not claim
- It does not claim to prove or disprove any canonical problem.
- It does not hide any answer as a secret field, label or parameter.
- It does not declare any new theorem beyond standard cited literature.
Every page is an effective layer encoding.
- It specifies observables, invariants and tension functionals.
- It defines falsifiable experiments and calibration rules.
- It describes how an AI system may use those objects as evaluation or training contracts.
It is a language for working with problems, not a proof that they are solved.
### No post hoc parameter tuning
The TU charters enforce anti cheat rules.
- Encoding classes and menus live in the charters, not in individual files.
- Specs are meant to be published and hashed before evaluation.
- Changing an encoding after seeing results is recorded as a failed encoding, not a success.
---
<a id="versioning-and-non-mutation-policy"></a>
## Versioning and non-mutation policy
To keep the history auditable:
1. Problem files are versioned and declare `Last_updated`.
2. BlackHole v1 is frozen after tagging.
3. At most one structural update wave for v2 with explicit changelogs.
4. Changes that alter meaning must become a new version or be mediated through charters.
---
<a id="how-to-start"></a>
## How to start
If you only do three things:
1. Read the everyday explanation of tension above.
2. Boot the TXT, choose the guided demo and ask three questions that actually matter to you.
3. Open one S problem from a domain you know and one you do not, and check whether the same structure survives both without definition drift.
If that feels coherent and the answers feel different from your usual chats, you are already the intended audience.
---
<a id="how-to-read-a-single-s-problem-page"></a>
## How to read a single S problem page
Each `Qxxx_*.md` file follows a shared template.
Typical blocks:
1. Header metadata.
2. Effective layer disclaimer.
3. Canonical problem statement and status.
4. Position in the BlackHole graph.
5. TU encoding, state spaces, observables, invariants.
6. Counterfactual worlds and experiments.
7. AI and engineering spec usage notes.
8. Roadmap and elementary explanation.
9. TU effective layer footer with charter links and guardrails.
You do not need to read all 131, but any single file should be enough to see how tension language behaves in that domain.
---
<a id="faq-and-participation"></a>
## Participation and deeper FAQ
### Join the community
- **Discord**: <https://discord.gg/KRxBsr6GYx>
You can also open GitHub issues and pull requests.
### Open MVP experiment contributions
Tension Universe is still expanding.
The public experiment layer is being built one MVP page at a time under `TensionUniverse/Experiments/`, and outside contributors are welcome to help extend that work in a focused way.
The cleanest contribution path is simple:
- choose a valid TU problem from the 131-problem field
- build or improve one small MVP experiment page
- keep the scope inside the experiment layer
- submit a focused issue or pull request
A standard contribution usually means one experiment folder, one structured `README.md`, and optional small notebook, Colab, or screenshot support.
If you want the rules, format, and current open items, start here:
- [Contribution guide](../Contribute/README.md)
- [Open experiments board](../Contribute/open-experiments.md)
- [Contributor credit format](../Contribute/contributor-credit-format.md)
### Deeper FAQ
**Q1. Did you solve any of these 131 problems?**
No. These files describe encodings and experiments, not proofs.
**Q2. What does S problem mean here?**
An internal label for hard and foundational problems that can be encoded with observables and falsifiable patterns.
**Q3. How is this related to WFGY and TU AI?**
This folder is the public spec that can be used to test and audit reasoning behavior.
The production TU AI system and WFGY 3.0 runtime are out of scope here, but must obey these charters and encodings.
**Q4. Why should I trust definitions will not be changed quietly?**
You do not need personal trust. The rules are structural.
Version 1 is frozen once tagged and any version 2 changes require explicit versioning.
**Q5. Does the framework assume answers in advance?**
It is designed to forbid baking in an answer bit. If you find any implicit assumption, report it.
**Q6. Can I use this TXT engine in my own research, tools or posts?**
Yes. The project is MIT licensed. If it helps you, a link back and a GitHub star are always appreciated, but the core intent is that you can adopt the tension language as shared infra.
---
<a id="navigation-index-for-the-131-s-problems"></a>
## Navigation index for the 131 S problems
All files live in [`../BlackHole`](../BlackHole).
Quick domain jumps:
- [Mathematics and foundations](#s-math-foundations)
- [Fundamental physics and quantum matter](#s-physics)
- [Cosmology and computation](#s-cosmology)
- [Chemistry, materials and origins of life](#s-chem-life)
- [Neuroscience and Earth system](#s-neuro-earth)
- [Economics, social systems and philosophy](#s-econ-soc-philo)
- [AI alignment, safety and advanced systems](#s-ai-alignment)
Use these links if you want to focus on a specific domain.
<a id="s-math-foundations"></a>
### Q001 to Q020 · Mathematics and foundations
- [Q001 · Riemann Hypothesis](../BlackHole/Q001_riemann_hypothesis.md)
- [Q002 · Generalized Riemann Hypothesis](../BlackHole/Q002_generalized_riemann_hypothesis.md)
- [Q003 · Birch and Swinnerton Dyer Conjecture](../BlackHole/Q003_birch_swinnerton_dyer_conjecture.md)
- [Q004 · Hodge Conjecture](../BlackHole/Q004_hodge_conjecture.md)
- [Q005 · ABC Conjecture](../BlackHole/Q005_abc_conjecture.md)
- [Q006 · Goldbach Conjecture](../BlackHole/Q006_goldbach_conjecture.md)
- [Q007 · Twin Prime Conjecture](../BlackHole/Q007_twin_prime_conjecture.md)
- [Q008 · Collatz Conjecture](../BlackHole/Q008_collatz_conjecture.md)
- [Q009 · Odd Perfect Numbers](../BlackHole/Q009_odd_perfect_numbers.md)
- [Q010 · Smooth 4D Poincaré Conjecture](../BlackHole/Q010_smooth_4d_poincare_conjecture.md)
- [Q011 · Navier Stokes Existence and Smoothness](../BlackHole/Q011_navier_stokes_existence_and_smoothness.md)
- [Q012 · Yang Mills Existence and Mass Gap](../BlackHole/Q012_yang_mills_existence_and_mass_gap.md)
- [Q013 · Langlands Program Core Conjectures](../BlackHole/Q013_langlands_program_core_conjectures.md)
- [Q014 · Bombieri Lang Conjecture](../BlackHole/Q014_bombieri_lang_conjecture.md)
- [Q015 · Uniform Rank Bounds for Elliptic Curves](../BlackHole/Q015_uniform_rank_bounds_elliptic_curves.md)
- [Q016 · New Axioms for CH](../BlackHole/Q016_new_axioms_for_ch.md)
- [Q017 · Geometric Flows and Global Regularity](../BlackHole/Q017_geometric_flows_global_regularity.md)
- [Q018 · Pair Correlation of Zeta Zeros](../BlackHole/Q018_pair_correlation_zeta_zeros.md)
- [Q019 · Rational Points on Varieties](../BlackHole/Q019_rational_points_on_varieties.md)
- [Q020 · High Dimensional Manifolds and Curvature](../BlackHole/Q020_high_dimensional_manifolds_curvature.md)
[Back to S problem index](#navigation-index-for-the-131-s-problems)
<a id="s-physics"></a>
### Q021 to Q040 · Fundamental physics and quantum matter
- [Q021 · Quantum Gravity Unification](../BlackHole/Q021_quantum_gravity_unification.md)
- [Q022 · Hierarchy Problem](../BlackHole/Q022_hierarchy_problem.md)
- [Q023 · Strong CP Problem](../BlackHole/Q023_strong_cp_problem.md)
- [Q024 · Origin of Neutrino Masses and Mixing](../BlackHole/Q024_origin_of_neutrino_masses_and_mixing.md)
- [Q025 · Baryon Asymmetry of the Universe](../BlackHole/Q025_baryon_asymmetry_universe.md)
- [Q026 · Quantum Measurement Problem](../BlackHole/Q026_quantum_measurement_problem.md)
- [Q027 · Fundamental Limits of Decoherence](../BlackHole/Q027_fundamental_limits_of_decoherence.md)
- [Q028 · Color Confinement Mechanism](../BlackHole/Q028_color_confinement_mechanism.md)
- [Q029 · Low Energy Supersymmetry](../BlackHole/Q029_low_energy_supersymmetry.md)
- [Q030 · Quantum Phases of Matter](../BlackHole/Q030_quantum_phases_of_matter.md)
- [Q031 · Ultimate Limits of Quantum Information Processing](../BlackHole/Q031_ultimate_limits_of_quantum_information_processing.md)
- [Q032 · Quantum Foundations of Thermodynamics](../BlackHole/Q032_quantum_foundations_of_thermodynamics.md)
- [Q033 · Selection among Quantum Gravity Candidates](../BlackHole/Q033_selection_among_quantum_gravity_candidates.md)
- [Q034 · Quantum Classical Crossover](../BlackHole/Q034_quantum_classical_crossover.md)
- [Q035 · Quantum Metrology Limits](../BlackHole/Q035_quantum_metrology_limits.md)
- [Q036 · High Tc Superconductivity Mechanism](../BlackHole/Q036_high_tc_superconductivity_mechanism.md)
- [Q037 · Fractional Quantum Hall States](../BlackHole/Q037_fractional_quantum_hall_states.md)
- [Q038 · Strongly Correlated Cold Atoms](../BlackHole/Q038_strongly_correlated_cold_atoms.md)
- [Q039 · Quantum Turbulence](../BlackHole/Q039_quantum_turbulence.md)
- [Q040 · Black Hole Information Problem](../BlackHole/Q040_black_hole_information_problem.md)
[Back to S problem index](#navigation-index-for-the-131-s-problems)
<a id="s-cosmology"></a>
### Q041 to Q060 · Cosmology and computation
- [Q041 · Nature of Dark Matter](../BlackHole/Q041_nature_of_dark_matter.md)
- [Q042 · Dark Energy and Cosmic Acceleration](../BlackHole/Q042_dark_energy_and_cosmic_acceleration.md)
- [Q043 · Origin of Cosmic Inflation](../BlackHole/Q043_origin_of_cosmic_inflation.md)
- [Q044 · Initial Conditions of the Universe](../BlackHole/Q044_initial_conditions_of_the_universe.md)
- [Q045 · Large Scale Structure Formation](../BlackHole/Q045_large_scale_structure_formation.md)
- [Q046 · CMB Anomalies](../BlackHole/Q046_cmb_anomalies.md)
- [Q047 · Origin of Supermassive Black Holes](../BlackHole/Q047_origin_of_supermassive_black_holes.md)
- [Q048 · Hubble Constant Tension](../BlackHole/Q048_hubble_constant_tension.md)
- [Q049 · Missing Baryons Problem](../BlackHole/Q049_missing_baryons_problem.md)
- [Q050 · Multiverse Consistency Tests](../BlackHole/Q050_multiverse_consistency_tests.md)
- [Q051 · P versus NP](../BlackHole/Q051_p_versus_np.md)
- [Q052 · P versus BQP and the Role of Quantum Computers](../BlackHole/Q052_p_vs_bqp_role_of_quantum_computers.md)
- [Q053 · Existence of One Way Functions](../BlackHole/Q053_existence_of_one_way_functions.md)
- [Q054 · Unique Games Conjecture](../BlackHole/Q054_unique_games_conjecture.md)
- [Q055 · Graph Isomorphism Exact Complexity](../BlackHole/Q055_graph_isomorphism_exact_complexity.md)
- [Q056 · Strong Circuit Lower Bounds](../BlackHole/Q056_strong_circuit_lower_bounds.md)
- [Q057 · Reinforcement Learning Generalization](../BlackHole/Q057_rl_generalization.md)
- [Q058 · Distributed Consensus Limits](../BlackHole/Q058_distributed_consensus_limits.md)
- [Q059 · Information Thermodynamic Cost](../BlackHole/Q059_information_thermodynamic_cost.md)
- [Q060 · Dynamic Data Structure Lower Bounds](../BlackHole/Q060_dynamic_data_structure_lower_bounds.md)
[Back to S problem index](#navigation-index-for-the-131-s-problems)
<a id="s-chem-life"></a>
### Q061 to Q080 · Chemistry, materials and origins of life
- [Q061 · Ultimate Chemical Bond in Strongly Correlated Systems](../BlackHole/Q061_ultimate_chemical_bond_strongly_correlated.md)
- [Q062 · General Theory of Catalyst Design](../BlackHole/Q062_general_theory_of_catalyst_design.md)
- [Q063 · Protein Folding](../BlackHole/Q063_protein_folding.md)
- [Q064 · Glass Transition](../BlackHole/Q064_glass_transition.md)
- [Q065 · Room Temperature Superconductivity](../BlackHole/Q065_room_temperature_superconductivity.md)
- [Q066 · Electrochemical Energy Storage Limits](../BlackHole/Q066_electrochemical_energy_storage_limits.md)
- [Q067 · Quantum Molecular Simulation](../BlackHole/Q067_quantum_molecular_simulation.md)
- [Q068 · Prebiotic Chemistry Networks](../BlackHole/Q068_prebiotic_chemistry_networks.md)
- [Q069 · Reaction Selectivity Rules](../BlackHole/Q069_reaction_selectivity_rules.md)
- [Q070 · Soft Matter Self Assembly](../BlackHole/Q070_soft_matter_self_assembly.md)
- [Q071 · Origin of Life](../BlackHole/Q071_origin_of_life.md)
- [Q072 · Origin of the Genetic Code](../BlackHole/Q072_origin_of_the_genetic_code.md)
- [Q073 · Major Evolutionary Transitions](../BlackHole/Q073_major_evolutionary_transitions.md)
- [Q074 · Robustness of Cell Differentiation](../BlackHole/Q074_robustness_of_cell_differentiation.md)
- [Q075 · Fundamental Mechanisms of Aging](../BlackHole/Q075_fundamental_mechanisms_of_aging.md)
- [Q076 · Regeneration and Repair Principles](../BlackHole/Q076_regeneration_and_repair_principles.md)
- [Q077 · Host Microbiome Coevolution](../BlackHole/Q077_host_microbiome_coevolution.md)
- [Q078 · From Genotype to Phenotype](../BlackHole/Q078_from_genotype_to_phenotype.md)
- [Q079 · Origin of Eukaryotes](../BlackHole/Q079_origin_of_eukaryotes.md)
- [Q080 · Limits of Biosphere Adaptability](../BlackHole/Q080_limits_of_biosphere_adaptability.md)
[Back to S problem index](#navigation-index-for-the-131-s-problems)
<a id="s-neuro-earth"></a>
### Q081 to Q100 · Neuroscience and Earth system
- [Q081 · Hard Problem of Consciousness](../BlackHole/Q081_hard_problem_of_consciousness.md)
- [Q082 · Binding Problem](../BlackHole/Q082_binding_problem.md)
- [Q083 · Neural Coding Principles](../BlackHole/Q083_neural_coding_principles.md)
- [Q084 · Long Term Memory Storage](../BlackHole/Q084_long_term_memory_storage.md)
- [Q085 · Synaptic Plasticity Rules](../BlackHole/Q085_synaptic_plasticity_rules.md)
- [Q086 · Fundamental Function of Sleep](../BlackHole/Q086_fundamental_function_of_sleep.md)
- [Q087 · Neurodegenerative Diseases](../BlackHole/Q087_neurodegenerative_diseases.md)
- [Q088 · Development of Cortical Maps](../BlackHole/Q088_development_of_cortical_maps.md)
- [Q089 · Predictive Coding Implementation](../BlackHole/Q089_predictive_coding_implementation.md)
- [Q090 · Neural Basis of Social Cognition](../BlackHole/Q090_neural_basis_social_cognition.md)
- [Q091 · Equilibrium Climate Sensitivity](../BlackHole/Q091_equilibrium_climate_sensitivity.md)
- [Q092 · Climate Tipping Points](../BlackHole/Q092_climate_tipping_points.md)
- [Q093 · Carbon Cycle Feedbacks](../BlackHole/Q093_carbon_cycle_feedbacks.md)
- [Q094 · Deep Ocean Mixing](../BlackHole/Q094_deep_ocean_mixing.md)
- [Q095 · Biodiversity Loss and Recovery](../BlackHole/Q095_biodiversity_loss_and_recovery.md)
- [Q096 · Earthquake Predictability](../BlackHole/Q096_earthquake_predictability.md)
- [Q097 · Triggering Large Volcanic Eruptions](../BlackHole/Q097_triggering_large_volcanic_eruptions.md)
- [Q098 · Anthropocene System Dynamics](../BlackHole/Q098_anthropocene_system_dynamics.md)
- [Q099 · Global Freshwater Dynamics](../BlackHole/Q099_global_freshwater_dynamics.md)
- [Q100 · Environmental Pandemic Risk](../BlackHole/Q100_environmental_pandemic_risk.md)
[Back to S problem index](#navigation-index-for-the-131-s-problems)
<a id="s-econ-soc-philo"></a>
### Q101 to Q120 · Economics, social systems and philosophy
- [Q101 · Equity Premium Puzzle](../BlackHole/Q101_equity_premium_puzzle.md)
- [Q102 · Home Bias in Portfolios](../BlackHole/Q102_home_bias_in_portfolios.md)
- [Q103 · Long Run Productivity Slowdown](../BlackHole/Q103_long_run_productivity_slowdown.md)
- [Q104 · Inequality Dynamics](../BlackHole/Q104_inequality_dynamics.md)
- [Q105 · Prediction of Systemic Crashes](../BlackHole/Q105_prediction_of_systemic_crashes.md)
- [Q106 · Robustness of Multilayer Networks](../BlackHole/Q106_robustness_of_multilayer_networks.md)
- [Q107 · Large Scale Collective Action](../BlackHole/Q107_large_scale_collective_action.md)
- [Q108 · Political Polarization](../BlackHole/Q108_political_polarization.md)
- [Q109 · Global Migration Patterns](../BlackHole/Q109_global_migration_patterns.md)
- [Q110 · Evolution of Institutions](../BlackHole/Q110_evolution_of_institutions.md)
- [Q111 · Mind Body Relation](../BlackHole/Q111_mind_body_relation.md)
- [Q112 · Free Will](../BlackHole/Q112_free_will.md)
- [Q113 · Personal Identity over Time](../BlackHole/Q113_personal_identity_over_time.md)
- [Q114 · Moral Realism](../BlackHole/Q114_moral_realism.md)
- [Q115 · Problem of Induction](../BlackHole/Q115_problem_of_induction.md)
- [Q116 · Foundations of Mathematics](../BlackHole/Q116_foundations_of_mathematics.md)
- [Q117 · Scientific Realism versus Anti Realism](../BlackHole/Q117_scientific_realism_vs_anti_realism.md)
- [Q118 · Limits of Classical Logic](../BlackHole/Q118_limits_of_classical_logic.md)
- [Q119 · Meaning of Probability](../BlackHole/Q119_meaning_of_probability.md)
- [Q120 · Value of Information and Knowledge](../BlackHole/Q120_value_of_information_and_knowledge.md)
[Back to S problem index](#navigation-index-for-the-131-s-problems)
<a id="s-ai-alignment"></a>
### Q121 to Q131 · AI alignment, safety and advanced systems
- [Q121 · AI Alignment Problem](../BlackHole/Q121_ai_alignment_problem.md)
- [Q122 · AI Control Problem](../BlackHole/Q122_ai_control_problem.md)
- [Q123 · Scalable Interpretability](../BlackHole/Q123_scalable_interpretability.md)
- [Q124 · Scalable Oversight and Evaluation](../BlackHole/Q124_scalable_oversight_and_evaluation.md)
- [Q125 · Multi Agent AI Dynamics](../BlackHole/Q125_multi_agent_ai_dynamics.md)
- [Q126 · Recursive Self Improvement Stability](../BlackHole/Q126_recursive_self_improvement_stability.md)
- [Q127 · Data Entropy, Truth and Synthetic Worlds](../BlackHole/Q127_data_entropy_truth_synthetic_worlds.md)
- [Q128 · AI Conscious Qualia](../BlackHole/Q128_ai_conscious_qualia.md)
- [Q129 · Ultimate Energy Efficiency](../BlackHole/Q129_ultimate_energy_efficiency.md)
- [Q130 · OOD Grounding and Common Sense](../BlackHole/Q130_ood_grounding_and_common_sense.md)
- [Q131 · Tension Free Energy](../BlackHole/Q131_tension_free_energy.md)
[Back to S problem index](#navigation-index-for-the-131-s-problems)
---
## More WFGY pages
If you only need the main WFGY entry pages and do not need the full Compass:
- WFGY 1.x to 2.x legacy: [legacy](https://github.com/onestardao/WFGY/tree/main/legacy)
- WFGY 2.0 core: [core](https://github.com/onestardao/WFGY/blob/main/core/README.md)
- WFGY 3.0 details: [Event Horizon](https://github.com/onestardao/WFGY/blob/main/TensionUniverse/EventHorizon/README.md)
---
## Road to WFGY 3.0 (Conceptual evolution as engines)
WFGY has evolved through multiple iterations, each addressing concrete limitations observed in the previous stage.
All of them are delivered as TXT packs that you can drop into any strong LLM and treat as **engines**, not prompts.
Rather than replacing earlier ideas, each version refines and generalizes the same core intuition.
The goal is to make semantic deviation explicit, measurable and controllable.
### WFGY 1.x · Residual based semantic deviation
The early WFGY 1.x series focused on identifying **semantic residue** between an internal state and a reference or target.
Deviation was modeled as an explicit residual term, for example difference vectors or their norms. This enabled basic stability control and boundary detection.
At this stage, the emphasis was on **detectability**.
- Can we tell when a system is drifting away from an intended semantic target?
- Can this deviation be quantified in a way that supports feedback and correction?
This version established the foundational idea that semantic failure should be treated as a **measurable signal**, not a subjective judgment.
You can still use the 1.x engine TXT as a direct assistant upgrade for baseline reasoning.
---
### WFGY 2.0 · Normalized tension and unified scales
WFGY 2.0 generalized the residual concept into a normalized scalar form, often written as `delta_s` and bounded to `[0,1]`.
This made it possible to compare semantic deviation across tasks, prompts and contexts using a shared scale.
Key advances in this stage include:
- Normalization of deviation into a consistent range.
- Introduction of zones such as safe, transit, risk and danger.
- Coupling deviation dynamics with control logic, for example hysteresis and progression guards.
The goal of WFGY 2.0 was **operational consistency**.
- Different tasks could be analyzed under the same tension language.
- Stability decisions no longer depended on ad hoc heuristics.
In practice WFGY 2.0 is the core engine behind the **16 problem RAG failure map** and related hallucination control.
You can upload the 2.0 TXT and immediately use it as a **semantic firewall** for pipelines.
---
### WFGY 3.0 · Multi observable tension and question engine on 131 problems
WFGY 3.0 extends the previous scalar approach into a structured **family of observable deviations** written as `DeltaS_*`.
Instead of forcing all semantic risk into a single number, each task defines explicit, named observables.
Examples include reference grounding, outcome stability and constraint adherence. These are then aggregated under fixed, pre declared rules.
On top of that, WFGY 3.0 binds the engine to a **131 problem backbone**.
- The same tension language that runs your personal questions is also used to encode world scale problems in maths, physics, climate, finance, philosophy and AI alignment.
- The TXT engine lets you borrow that geometry when you ask about free will, AI consciousness, climate tipping points, equity market crashes or your own life plans.
This version emphasizes **auditability and robustness**.
- Each `DeltaS_*` must be explicitly defined, normalized and locked.
- Aggregation rules cannot be altered per model or per experiment.
- Guardrails prevent post hoc adjustment or hidden tuning.
In WFGY 3.0, tension is no longer just a control signal.
It becomes a **verifiable interface** between reasoning behavior and system constraints, and a reusable question engine with a world map behind it.
---
### Summary
Across all versions, the core idea remains unchanged.
> Semantic failure should be observable, quantifiable and constrained.
> It should not be corrected only through weight updates or opaque rewards.
If any of the TXT engines help you, the best way to keep this work alive and visible is simple:
- run it on a problem you care about
- open an issue if something breaks or suggests a better encoding
- and, if you think this deserves to be part of the standard toolkit, click ⭐ on the main repo
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