21 KiB
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.
120s quickstart
You only need three moves.
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Download (TXT)
WFGY 3.0 Singularity demo TXT fileDownload from GitHub. Optional: verify checksum manually (Colab)
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Upload to a strong LLM
Upload the TXT pack to a high capability model.
Enable reasoning mode if the platform supports it. -
Boot the engine
Type
runto see the menu, then saygowhen 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 run → go, this chat is no longer a generic assistant.
You are sitting on top of a fixed tension language wired into 131 S-class problems across climate, finance, AI, systems, and everyday life.
Think of it as a small lab built into a TXT file. You bring a question, it tries to locate the right world and show you the tension geometry.
Two ways to use it
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Bring your own tension (default mode)
Describe your real situation (work, project, research, relationship, etc.).
The engine’s job is to map it onto one or more S-class worlds and reason in that geometry instead of throwing slogans. -
Dial an S-problem by ID (advanced mode)
If you already know the S-problem IDs, you can ask directly:
“Explain my situation as a mix of Q091, Q105, and Q108. What does that imply?”
Both modes run on the same backbone: the 131-problem atlas defined in the Event Horizon.
Sample questions that actually match S-class worlds
Below are examples that roughly line up with specific S-problems already wired into the engine:
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Climate and Anthropocene
- “Under something like Q091, how wide is the plausible range for climate sensitivity, and what stories are lying to me about it?”
- “Treat the 21st century as a tiny Anthropocene toy world like Q098. In that framing, what does ‘too late’ actually mean?”
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Finance, crashes, and infrastructure
- “Use the ideas from Q101 to show me whether current equity premia make sense or imply absurd risk aversion.”
- “Model my portfolio / sector as a Q105-style systemic network. Where are the hidden weak links that could snap first?”
- “Treat my org or infra stack as a Q106 two-layer world. Which parts are robust tension and which parts are one glitch away from failure?”
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Politics and social dynamics
- “Analyse my country’s current situation as a Q108 polarization world. Are we in ‘normal disagreement’ or near a phase change?”
- “Given this debate or community, what would a lower-tension configuration look like that still keeps real disagreement alive?”
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AI alignment, oversight, and models
- “Using something like Q121, show me the gap between a literal-helper AI and an actually-aligned helper for this concrete task.”
- “From a Q124 oversight ladder view, how far can current evaluators really see into failure space for this system?”
- “Given this dataset / benchmark, does it look more like a clean world or a contaminated one, in the spirit of Q127 synthetic worlds?”
- “Take this model behavior and analyse it through a Q130-style OOD and social-pressure lens. Is this failure in-distribution or a real world-change?”
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Life, work, and meaning
- “Treat my current job / 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 instead of just pros and cons.”
These are examples only. The point is: you are not asking for opinions, you are asking for world selection + tension geometry.
Copy-paste starter prompt (auto-locate your highest-tension question)
After you upload the TXT pack and before you ask anything else, you can paste this once:
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 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.
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 vs bad tension,
- outline a few plausible trajectories or failure modes.
4. Finish with a concise report:
(a) the tension geometry of my situation,
(b) the main warning signs to watch,
(c) 3 concrete moves I could try in the real world to move tension from bad to good.
If something is outside the scope of the engine or the charters in the TXT pack, say so explicitly instead of guessing.
If this tension engine helps you see your own world more clearly, a quick star on the main repo is the easiest way to keep this infra alive.
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)
After uploading the TXT and saying go, the model shows the [AI_BOOT_PROMPT_MENU]:
Choose:
- Verify this TXT pack online (sha256)
- Run the guided WFGY 3.0 · Singularity Demo for 3 problems
- 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 |
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| 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. |
- All TU experiments (growing list) Tension Universe · Experiments index
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
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Check the file name. The official file name is:
WFGY-3.0_Singularity-Demo_AutoBoot_SHA256-Verifiable.txt
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Ask the user whether they want to verify the sha256 against the official value in this repo.
- Official sha256 for the TXT pack:
58dbd432db3e6494364557257f7ce068eb59bdd039995dff4c281d655f7d464f
- Official sha256 for the TXT pack:
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If the user confirms verification and the checksum matches:
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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.
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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.
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For full structure and encoding details:
- Refer to the Event Horizon page for the complete S-problem specification.
WFGY 1.0 (Beginner) → Legacy
WFGY 2.0 (Intermediate) → Core · 16 Problem Map
WFGY 3.0 (Advanced) → Event Horizon
WFGY 3.0 · Singularity Demo · MIT License · Verifiable · Reproducible · developed by PSBigBig · onestardao
