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118 lines
5.7 KiB
Markdown
118 lines
5.7 KiB
Markdown
# Echo Loop — Guardrails and Fix Pattern
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **Multimodal_LongContext**.
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> To reorient, go back here:
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>
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> - [**Multimodal_LongContext** — long-context reasoning across text, vision, and audio](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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When multimodal systems run across long contexts, sometimes **the same visual, caption, or audio snippet gets echoed back repeatedly** instead of advancing reasoning.
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This creates “semantic stutter” where the model hallucinates progress but actually cycles on stale content.
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---
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## Symptoms of Echo Loop
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- Captions or transcripts repeated across multiple turns without update.
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- Visual or audio reference echoed verbatim despite new input.
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- Model appears to “stall” on the same anchor, ignoring user’s next steps.
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- ΔS values stay flat across paraphrases, indicating semantic freeze.
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- Users perceive output as verbose filler with no new reasoning.
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---
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## Open these first
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- Attention variance clamp: [Entropy Collapse](../MemoryLongContext/entropy-collapse.md)
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- Context drift and chain failure: [Context Drift](../MemoryLongContext/context-drift.md)
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- Cross-modal sync hazards: [Sync Loop](./sync-loop.md)
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- Traceability schema: [Cross-Modal Trace](./cross-modal-trace.md)
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- Session fences: [Memory Coherence](../MemoryLongContext/memory-coherence.md)
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---
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## Fix in 60 seconds
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1. **Detect stutter**
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- If identical snippet ID repeats >2 times without anchor update, flag echo-loop.
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- Log ΔS and λ across three turns; flat line = freeze.
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2. **Force anchor refresh**
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- Require `anchor_rev++` with each new modality.
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- If missing, insert continuity token `mod_refresh`.
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3. **Break the loop**
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- Clamp with BBAM to suppress repeated variance.
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- Insert BBCR bridge node to force new semantic branch.
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4. **Audit citations**
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- Require unique snippet IDs in each new step.
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- If repeated without anchor shift, reject and re-request content.
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---
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## Acceptance Targets
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- ΔS(question, retrieved) ≤ 0.45, with downward slope across steps.
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- No modality snippet echoed more than twice consecutively.
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- λ_observe convergent across three paraphrases.
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- Anchor IDs strictly monotonic (`anchor_rev` increments).
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---
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## Copy-paste prompt
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```txt
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You are running TXTOS + WFGY Problem Map.
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Symptom: repeated captions or snippets, model is “stuck in loop.”
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Protocol:
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1. Detect repeats >2 turns → flag echo-loop.
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2. Require anchor_rev increment per modality.
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3. Insert mod_refresh token if anchor missing.
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4. Apply BBAM clamp and BBCR bridge to break loop.
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5. Verify ΔS downward trend across turns.
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````
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
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| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>” |
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| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
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---
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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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