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WFGY 3.0 · Singularity demo (public view). A tension reasoning engine over 131 S-class problems, mapping structure, failure modes, and AI stability boundaries. ⭐ Star if you care about reliable reasoning and system-level alignment.

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💥 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.

120s quickstart

You only need three moves.

  1. Download (TXT)
    WFGY 3.0 Singularity demo TXT file

    Download from GitHub. Optional: verify checksum manually (Colab)

  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.


What can I ask with this engine?

Once the TXT pack is loaded and you have typed rungo, this chat stops being a generic assistant.

Underneath, it switches into a fixed tension language wired into 131 S-class problems 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 Q091 or Q108.
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 not 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:

  • GO) quick candidate check (recommended)
  • 1) safety / hash check
  • 2) run a guided mission for 1 S-class problem
  • 3) explore using suggested questions
  • 4) story mode

If you are new, you can simply:

  1. load the TXT
  2. type rungo
  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 this chat 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:

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:

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 these 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.

  • Climate and Anthropocene

    • Under a serious climate world, how wide is the plausible range for climate sensitivity, and what stories are quietly lying to me about it? (internally maps to something like Q091)

    • 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? (internally maps to something like Q098)

  • Finance, crashes, and infrastructure

    • Use a serious equity world to show me whether current premia make sense, or imply absurd risk aversion that cannot hold for long. (similar to Q101)

    • Model my portfolio or sector as a systemic network. Where are the hidden weak links that could snap first under stress? (similar to Q105)

    • 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? (similar to Q106)

  • Politics and social dynamics

    • Analyse my country’s current situation as a polarization world. Are we in normal disagreement, or already near a phase change? (similar to Q108)

    • Given this debate or community, what would a lower tension configuration look like that still keeps real disagreement alive?

  • AI alignment, oversight, and models

    • For this concrete task, show me the gap between a literal helper AI and an actually aligned helper. Where does the tension leak out? (similar to Q121)

    • From an oversight ladder view, how far can current evaluators really see into failure space for this system before it hurts someone? (similar to Q124)

    • Given this dataset or benchmark, does it behave more like a clean world or a contaminated synthetic world? (similar to Q127)

    • 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? (similar to Q130)

  • Life, work, and meaning

    • Treat my current job or project as a tension field. Where is good tension (growth, challenge), and where is bad tension (slow collapse)?

    • I feel stuck between two big choices. Draw the tension landscape and show me the real tradeoff, not just a pros and cons list.

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 world selection + tension geometry 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.

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.


Beginner Story Mode

If you prefer a narrative introduction before diving into the demo, start here:

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:


demo trace (10s)

WFGY 3.0 Singularity Demo

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

MVP (Colab) · 10 experiments

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

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 Q091 MVP README · 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 Q098 MVP README · 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 Q101 MVP README · 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 Q105 MVP README · 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 Q106 MVP README · 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 Q108 MVP README · 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 Q121 MVP README · 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 Q124 MVP README · 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 Q127 MVP README · 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)
Q130-B · X-version social pressure 2.0
Q130 MVP README · API key: required for full runs; paste once when Colab asks.

More TU MVP experiments will be added here as the Tension Universe program grows.


AI NOTE

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:

      [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.

Community

The more observers join, the closer the singularity becomes:


WFGY Ecosystem → Recognition Map
WFGY 1.0 → Legacy
WFGY 2.0 → Core
WFGY 3.0 → Event Horizon
RAG 16 Problem Map → Checklist
Global Debug Card → Image Protocol


WFGY 3.0 · Singularity Demo · MIT License · Verifiable · Reproducible · developed by PSBigBig · onestardao

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WFGY 3.0 · Singularity demo (public view). A tension reasoning engine over 131 S-class problems, mapping structure, failure modes, and AI stability boundaries. ⭐ Star if you care about reliable reasoning and system-level alignment.

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