WFGY/ProblemMap

🧠 WFGY Problem → Module → Solution Map

This folder maps real-world AI reasoning failures — especially in RAG and agent systems — to the WFGY modules that solve them.

Each problem includes a dedicated .md page with symptoms, root causes, module breakdowns, and implementation status.

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📌 Navigation: Solved AI Failure Modes

Problem Domain	Description	Link
🔹 Hallucination & Chunk Drift	Wrong or irrelevant content from retrieved context	hallucination.md
🔹 Interpretation Collapse	Chunk is correct, but model can’t reason properly	interpretation-collapse.md
🔹 Long Reasoning Chains	Model drifts across multi-step chains	long-chain-drift.md
🔹 Bluffing / Overconfidence	Model pretends to know what it doesn’t	knowledge-boundary.md
🔹 Semantic ≠ Embedding	Cosine similarity doesn’t mean logical match	embedding-gap.md
🔹 Logic Collapse + Recovery	System runs into a dead end without reset	collapse-rebirth.md
🔹 Memory Breaks Across Sessions	No continuity or traceability over time	memory-break.md
🔹 Debugging is a Black Box	Can’t trace how/why a model failed	tree-audit.md
🔹 Entropy Collapse	Attention melts, content loses coherence	entropy-collapse.md
🔹 Creative Freeze	Model becomes boring, literal, unimaginative	creative-freeze.md
🔹 Symbolic Collapse	Model fails under abstract/logical structure	symbolic-collapse.md
🔹 Philosophical Recursion	Self-referential logic or paradoxes crash model	philosophical-recursion.md
🔹 Multi-Agent Chaos	Agents overwrite each other, lose memory/role	multi-agent-chaos.md

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⚒️ How These Docs Work

Each .md problem file includes:

• 🧩 Problem description + failure symptoms
• 🔍 Why current systems fail
• 🧠 WFGY module(s) solving it
• 🛠️ Implementation status
• 🧪 Live examples

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🧭 For RAG-specific issues:

→ See RAG_Problems.md for an aligned table format

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🧰 Core Projects

• WFGY – Semantic Reasoning Engine
• TXT OS – Semantic Tree + Logic UI