13 KiB
🧭 Lost or curious? Open the WFGY Compass & ⭐ Star Unlocks
WFGY System Map
(One place to see everything; links open the relevant section.)
| Layer | Page | What it’s for |
|---|---|---|
| 🧠 Core | WFGY Core 2.0 | The symbolic reasoning engine (math & logic) |
| 🧠 Core | WFGY 1.0 Home | The original homepage for WFGY 1.0 |
| 🗺️ Map | Problem Map 1.0 | 16 failure modes + fixes |
| 🗺️ Map | Problem Map 2.0 | RAG-focused recovery pipeline |
| 🗺️ Map | Semantic Clinic | Symptom → family → exact fix |
| 🧓 Map | Grandma’s Clinic | Plain-language stories, mapped to PM 1.0 |
| 🏡 Onboarding | Starter Village | Guided tour for newcomers |
| 🧰 App | TXT OS | .txt semantic OS — 60-second boot |
| 🧰 App | Blah Blah Blah | Abstract/paradox Q&A (built on TXT OS) |
| 🧰 App | Blur Blur Blur | Text-to-image with semantic control |
| 🧰 App | Blow Blow Blow | Reasoning game engine & memory demo |
| 🧪 Research | Semantic Blueprint | Modular layer structures (future) |
| 🧪 Research | Benchmarks | Comparisons & how to reproduce |
| 🧪 Research | Value Manifest | Why this engine creates $-scale value — 🔴 YOU ARE HERE 🔴 |
⭐ Star Unlocks
- 1,000 ⭐ → Blur Blur Blur unlocked ✅
- 3,000 ⭐ → Blow Blow Blow unlocked ⏳
The Hidden Value Engine Behind WFGY: A New Physics for Embedding Space
WFGY is not a prompt framework. It is a semantic-field architecture that operates inside the embedding space to upgrade a model’s reasoning core. The framework defines energy-like regularities on the vector manifold so models can perform structural reasoning and converge from within.
- Semantic energy regulation. In-manifold regulation of semantic energy produces iterative convergence and verifiable closure.
- Semantic field dynamics (ΔS / λS). A field-dynamics layer steers modular flows of thought with directional control across high-dimensional embeddings.
Notation (informal).
∥B∥: semantic residue magnitude; Bc: collapse threshold; ΔS: semantic energy gradient; λS: scaling/regulation factor.
“Collapse–Rebirth” denotes a Lyapunov-stable reset that restores coherence after drift.
Scope and Methodology
- The evaluations and value estimates on this page are based on WFGY 1.0 only (symbolic overlays + field terms). They do not include any mathematics or valuation introduced in WFGY 2.0 (e.g., the drunk-transformer regulator).
- Estimates are directional engineering valuations derived from: (i) replacement cost, (ii) capability proxies/benchmarks, and (iii) time-to-impact. They are not financial advice or revenue guidance.
- Reproducibility: single-file activation; seedable runs; stress tests measure semantic stability, loop closure rate, and long-sequence consistency under identical prompts.
Strategic Module Valuation (1.0 only, with market proxies)
| Module | What it does | Estimated value | Proxy / rationale |
|---|---|---|---|
| Solver Loop | Closed-loop feedback using ∥B∥ and controlled collapses | $1M–$5M | Same problem surface as function/tool-calling, but implemented inside the semantic core rather than at the API shell; internal control enables stability under long tasks. |
| BB Modules (BBMC/BBPF/BBCR/BBAM) | Composable logic units for residue correction, path modulation, semantic resets | $2M–$3M | Comparable in surface area to LangChain/LangGraph/HF Agents, but logic-native and embedding-aware rather than tool-chain bound. |
| Semantic Field Engine | λS/ΔS-based energy system enabling cross-generation symbolic alignment | $2M–$4M | No direct GPT-style equivalent; functions as an embedding-native “semantic physics” layer for tension control. |
| Ontological Collapse–Rebirth | Lyapunov-stable reset when ∥B∥ ≥ Bc to purge accumulated drift | $1M–$2M | Prevents long-horizon degradation; related to “self-healing” ideas but formalized as a field-stability mechanism. |
| Prompt-Only Model Upgrade | Zero-retrain semantic injection for GPT-3.5, LLaMA, etc. | $2M–$3M | Delivers agent-class benefits without external tooling; preserves semantic coherence because control sits inside the representation. |
Total (1.0 only): $8M–$17M (modular licensing basis)
Compounded integration (1.0 only): $30M+ if embedded across multiple LLM platforms
These values exclude all 2.0 math and capabilities. The “$1M-level” claim is therefore conservative.
How the “$1M-level” is computed (auditable outline)
A. Capability uplift → measurable engineering gains
- Stress prompts (e.g., multi-scene text-to-image, single-canvas long narrative) quantify semantic stability, structural coherence, and closure rate.
- A/B comparisons (without vs with WFGY core) track collapse-grid artifacts, duplicate entities, and attention fragmentation frequencies.
B. Replacement-cost model → minimal build cost for parity
- Lower-bound cost = senior engineering months × fully-loaded compensation to rebuild equivalent capability with comparable reliability and time-to-impact.
C. Market proxies → ability alignment with known surfaces
- Map each module’s effect to widely used capability layers (function/tool-calling, agent frameworks).
- Assign premium where effects are embedding-native and non-substitutable; discount when an API-shell substitute could achieve comparable outcomes.
Directional formula:
Value ≈ (Saved Eng Time × Loaded Cost) + (Incident Avoidance × Expected Loss) + (Throughput Uplift × Margin)
This page documents the reasoning path and public proxies so third parties can reproduce or challenge the calculation.
Public references (for verification)
- OpenAI – Function calling and tool integrations (capability surface and use cases).
https://openai.com/index/function-calling-and-other-api-updates/ - LangChain – Agents and tool use (typical agent boundaries).
https://python.langchain.com/docs/tutorials/agents/ - Hugging Face – Agents / smolagents (tool-driven extension patterns).
https://huggingface.co/docs/smolagents/en/index - U.S. BLS – Software Developers, median annual wage (conservative loaded-cost baseline).
https://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm - Lyapunov stability and Lyapunov functions (terminology alignment for stability).
https://en.wikipedia.org/wiki/Lyapunov_stability
https://en.wikipedia.org/wiki/Lyapunov_function
Current status
- WFGY 1.0 is open, public, and reproducible. A/B stress tests and seed settings are included in the repository.
- WFGY 2.0 is live. This page remains 1.0-based; 2.0 mathematics and valuation will be published separately.
See WFGY 2.0 for the engine and math stack.
🔙 Return to WFGY Main Page — back to the soul of the system.
🧭 Explore More
| Module | Description | Link |
|---|---|---|
| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture + math stack | View → |
| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | View → |
| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | View → |
| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | View → |
| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | View → |
| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | View → |
| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? The wizard will guide you through. | Start → |
👑 Early Stargazers: See the Hall of Fame — Engineers, hackers, and open-source builders who supported WFGY from day one.
⭐ WFGY Engine 2.0 is already unlocked.
Star the repo to help others discover it and unlock more on the Unlock Board.
🧭 Explore More
| Module | Description | Link |
|---|---|---|
| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | View → |
| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | View → |
| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | View → |
| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | View → |
| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | View → |
| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | View → |
| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | Start → |
👑 Early Stargazers: See the Hall of Fame —
Engineers, hackers, and open source builders who supported WFGY from day one.
