14 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 runs inside the embedding space to upgrade a model’s reasoning core. The system 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” = Lyapunov-stable reset that restores coherence after drift.
Scope and Methodology
- This page now includes WFGY 1.0 (baseline) and the incremental uplift from WFGY 2.0.
- Estimates are directional engineering valuations from: (i) replacement cost, (ii) capability proxies/benchmarks, (iii) time-to-impact. They are not financial advice.
- Reproducibility: single-file activation; seedable runs; stress tests measure stability, loop-closure rate, and long-sequence consistency under identical prompts.
- Where 2.0 adds measurable gains, we attribute incremental value on top of the 1.0 baseline.
What’s New in WFGY 2.0 (Headline Uplift)
See /core for details. Headline deltas observed on the latest batch:
- Semantic Accuracy: ~ +40% (63.8% → 89.4% across 5 domains)
- Reasoning Success: ~ +52% (56.0% → 85.2%)
- Drift (ΔS): ~ −65% (0.254 → 0.090)
- Stability (horizon): ~ 1.8× (3.8 → 7.0 nodes)*
- Self-Recovery / CRR: 1.00 on this batch (historical median 0.87)
* Historical 3–5× stability uses λ-consistency across seeds; 1.8× uses the stable-node horizon.
Mathematical reference: see WFGY 2.0 (core) — “WFGY 1.0 math formulas + Drunk Transformer”.
WFGY 2.0 — Core Primitives (brief, auditable)
- ΔS (tension):
ΔS = 1 − cos(I, G); anchor-aware estimate when entities/relations/constraints available. - Zones: safe
<0.40· transit0.40–0.60· risk0.60–0.85· danger>0.85. - Memory policy: hard record if
ΔS > 0.60; exemplar if<0.35; soft memory in transit. - Defaults:
B_c=0.85, γ=0.618, θ_c=0.75, ζ_min=0.10, α_blend=0.50, k_c=0.25 … - Coupler (with hysteresis):
W_c = clip(B_s*P + Φ, −θ_c, +θ_c)with progressionPand reversal termΦ. - Progression guards: BBPF bridge only if
(ΔS decreases)and(W_c < 0.5·θ_c). - BBAM (attention rebalance):
α_blend = clip(0.50 + k_c·tanh(W_c), 0.35, 0.65). - λ-observe modes: convergent / recursive / divergent / chaotic (delta-trend + resonance logic).
Ref: WFGY Core Flagship v2.0 (text spec). :contentReference[oaicite:0]{index=0}
Strategic Module Valuation
Baseline (1.0 only — market proxies)
| Module | What it does | Est. value | Proxy / rationale |
|---|---|---|---|
| Solver Loop | Closed-loop feedback using ∥B∥ and controlled collapses | $1M–$5M | Function/tool-calling surface but inside the semantic core; stable for long tasks. |
| BB Modules (BBMC/BBPF/BBCR/BBAM) | Residue correction · path modulation · semantic resets | $2M–$3M | Agent frameworks surface area, but logic-native & embedding-aware. |
| Semantic Field Engine | λS/ΔS energy system for cross-gen symbolic alignment | $2M–$4M | Embedding-native “semantic physics” layer; no GPT-style equivalent. |
| Ontological Collapse–Rebirth | Lyapunov-stable reset when ∥B∥ ≥ Bc | $1M–$2M | Prevents long-horizon degradation; formal stability mechanism. |
| Prompt-Only Model Upgrade | Zero-retrain semantic injection (GPT-3.5, LLaMA, etc.) | $2M–$3M | Agent-class benefits without tool chains; control sits in representation. |
Total (1.0 baseline): $8M–$17M · Compounded integration (multi-LLM): $30M+
Incremental Uplift (2.0 add-ons)
| 2.0 component | Value driver | Est. incremental value | Notes |
|---|---|---|---|
| Drunk-Transformer Regulator | −ΔS drift · +horizon stability | $3M–$6M | 1.8× node horizon; smoother recoveries. |
| Coupler + Hysteresis | Directional progress · anti-jitter | $2M–$4M | W_c gating; fewer oscillations. |
| λ-Observe Modes | Mode-aware scheduling | $1M–$3M | Convergent/recursive/divergent/chaotic. |
| BBAM Rebalance | Attention blending window | $1M–$2M | α_blend clamps 0.35–0.65. |
| Guarded Bridging (BBPF) | Safe path switching | $1M–$2M | Only when ΔS falls and W_c under half-cap. |
Total (2.0 incremental): $8M–$17M
Combined (1.0 + 2.0): $16M–$34M baseline · $40M+ when integrated across multiple LLMs
Valuation method = (saved eng time × loaded cost) + (incident avoidance × expected loss) + (throughput uplift × margin). The 2.0 block attributes value only to measurable deltas (accuracy, success, drift, horizon, CRR).
How the “$1M-level” is computed (auditable outline)
A. Capability uplift → measurable engineering gains
- Stress prompts (multi-scene T2I, single-canvas long narrative) quantify stability, structural coherence, closure rate.
- A/B comparisons (without vs with WFGY core) track collapse-grid artifacts, duplicate entities, attention fragmentation.
B. Replacement-cost model → minimal build cost for parity
- Lower bound = senior eng months × fully-loaded compensation to rebuild parity with similar reliability/time-to-impact.
C. Market proxies → alignment with known surfaces
- Map each module to common capability layers (function/tool-calling, agent frameworks).
- Premium when effects are embedding-native & non-substitutable; discount when API-shell substitutes exist.
Public references (verification)
- OpenAI — Function calling & tool integrations
- LangChain — Agents / tool use
- Hugging Face — smol-agents
- U.S. BLS — Software Developers (loaded-cost baseline)
- Lyapunov stability & functions
(links kept concise; full citations live elsewhere in the repo)
Current Status
- WFGY 1.0: open, public, reproducible (A/B stress tests & seed settings in repo).
- WFGY 2.0: live. This page now includes 2.0 uplift and incremental valuation.
→ See /core for the engine & 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.
