10 KiB
📋 WFGY Problem Map – Bookmark This. You’ll Need It.
Every failure has a name. Every name has a countermeasure.
WFGY (Wan Fa Gui Yi) = Semantic Firewall for AI Reasoning.
It fixes logic collapse, memory loss, hallucination, and abstract breakdowns — in live generation and retrieval pipelines.
All terms mentioned (e.g., BBMC, BBPF, BBCR, ΔS) are modules of the open-source WFGY engine (MIT license).
📎 PDF contains full formulas; TXT OS applies them as an operating system for AI workflows. Download links at the bottom.
Welcome! This map lists every AI failure we’ve fixed —or are fixing — with the WFGY reasoning engine.
TXT OS + WFGY exists to turn critical AI bugs into reproducible, modular fixes.
Spot a gap? Open an Issue or PR — community feedback drives the next entries.
👀 Want to test WFGY yourself?
See TXT OS for real-time demos, or start here with RAG failures →
Vision
Make “my AI went off the rails” as rare as a 500 error in production software.
Every solved failure below pushes us closer.
🔗 Navigation – Solved (or Tracked) AI Failure Modes
| # | Problem Domain | Description | Doc |
|---|---|---|---|
| 1 | Hallucination & Chunk Drift | Retrieval brings wrong / irrelevant content | hallucination.md |
| 2 | Interpretation Collapse | Chunk is correct but logic fails | retrieval-collapse.md |
| 3 | Long Reasoning Chains | Model drifts across multi‑step tasks | context-drift.md |
| 4 | Bluffing / Overconfidence | Model pretends to know what it doesn’t | bluffing.md |
| 5 | Semantic ≠ Embedding | Cosine match ≠ true meaning | embedding-vs-semantic.md |
| 6 | Logic Collapse & Recovery | Dead‑end paths, auto‑reset logic | logic-collapse.md |
| 7 | Memory Breaks Across Sessions | Lost threads, no continuity | memory-coherence.md |
| 8 | Debugging is a Black Box | No visibility into failure path | retrieval-traceability.md |
| 9 | Entropy Collapse | Attention melts, incoherent output | entropy-collapse.md |
| 10 | Creative Freeze | Outputs become flat, literal | creative-freeze.md |
| 11 | Symbolic Collapse | Abstract / logical prompts break model | symbolic-collapse.md |
| 12 | Philosophical Recursion | Self‑reference or paradoxes crash reasoning | philosophical-recursion.md |
| 13 | Multi‑Agent Chaos | Agents overwrite / misalign logic | multi-agent-chaos.md |
🔗 Status & Difficulty Matrix
| # | Problem | Difficulty* | Implementation |
|---|---|---|---|
| 1 | Hallucination & Chunk Drift | Medium | ✅ Stable |
| 2 | Interpretation Collapse | High | ✅ Stable |
| 3 | Long Reasoning Chains | High | ✅ Stable |
| 4 | Bluffing / Overconfidence | High | ✅ Stable |
| 5 | Semantic ≠ Embedding | Medium | ✅ Stable |
| 6 | Logic Collapse & Recovery | Very High | ✅ Stable |
| 7 | Memory Breaks Across Sessions | High | ✅ Stable |
| 8 | Debugging Black Box | Medium | ✅ Stable |
| 9 | Entropy Collapse | High | ✅ Stable |
| 10 | Creative Freeze | Medium | ✅ Stable |
| 11 | Symbolic Collapse | Very High | ✅ Stable |
| 12 | Philosophical Recursion | Very High | ✅ Stable |
| 13 | Multi‑Agent Chaos | Very High | ✅ Stable |
*Difficulty = gap between default LLM ability and a production‑ready fix; “Very High” means almost no off‑the‑shelf tool tackles it.
🔗 How to Use These Docs
Each problem page covers:
- Symptoms – what the failure looks like
- Root Causes – why standard pipelines break
- Module Breakdown – which WFGY parts fix it
- Status & Examples – code or demo you can run now
Missing issue? Open an Issue or PR—real failure traces especially welcome.
🔗 Specialized Maps
- 🧠 RAG Problem Table (#1, #2, #3, #5, #8) – retrieval‑augmented generation failures
- 🤖 Multi‑Agent Chaos Map (#13) – coordination, memory, role drift
- 🔎 Symbolic & Recursive Map (#11, #12) – paradox, abstraction, logical traps
- 🧩 Logic Recovery Map (#6) – dead-end logic and auto-reset reasoning
- 📜 Long‑Context Stress Map (#3, #7, #10) – 100k‑token stability, noisy PDFs
- 🧪 Safety Boundary Map (#4, #8) – knowledge gaps, bluffing, jailbreak resistance
🔗 Quick‑Start Downloads (60 sec)
| Tool | Link | 3‑Step Setup |
|---|---|---|
| WFGY 1.0 PDF | Engine Paper | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>” |
| TXT OS (plain‑text OS) | TXTOS.txt | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
👑 Early Stargazers: See the Hall of Fame —
Engineers, hackers, and open source builders who supported WFGY from day one.
⭐ Help reach 10,000 stars by 2025-09-01 to unlock Engine 2.0 for everyone ⭐ Star WFGY on GitHub
🔗 Not Sure What’s Going Wrong?
You’re not alone — many AI devs face mysterious failures like:
- “Why is it hallucinating when the chunk is correct?”
- “Why can’t it reason despite having all the data?”
- “Why does context break halfway through?”
🎯 Diagnose by symptom — find your problem, see exact WFGY fix:
| Symptom | Problem ID | Fix |
|---|---|---|
| 🤯 Wrong chunks, wrong answer | #1 Hallucination & Chunk Drift | Fix it → |
| 🧵 Model forgets context in long docs | #7 Memory Breaks in 100k Tokens | Fix it → |
| 🌀 Good data, still bad logic | #2 Interpretation Collapse | Fix it → |
| 🔍 Full diagnosis table (13+ issues) | See full table → |