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105 lines
4.4 KiB
Markdown
105 lines
4.4 KiB
Markdown
# 📒 Multimodal Reasoning Problem Map
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Standard RAG pipelines stumble when a single prompt spans **text, images, code, and audio**.
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Captions drift, code comments misalign, transcripts add noise.
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WFGY tags each modality in the Semantic Tree and keeps their ΔS tension synchronized.
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---
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## 🤔 Typical Multimodal Failures
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| Modality Clash | What Goes Wrong |
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|----------------|-----------------|
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| Text ↔ Image | Caption describes wrong object or misses nuance |
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| Code ↔ Docstring | Implementation diverges from comment intent |
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| Audio Transcript | OCR / ASR noise melts context |
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| Mixed Prompt | LLM fuses channels into fractured output |
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---
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## 🛡️ WFGY Cross‑Modal Fixes
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| Clash | Module | Remedy | Status |
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|-------|--------|--------|--------|
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| Text ↔ Image | Cross‑modal ΔS + **BBMC** | Aligns caption vector to image embedding; rejects high tension | ✅ Stable |
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| Code ↔ Docstring | Tree Twin Nodes | Parallel nodes: `Code_Node` & `Doc_Node` diffed by residue | ✅ Stable |
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| Audio Noise | Entropy filter (**BBAM**) | Drops low‑confidence transcript tokens | ✅ Stable |
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| Mixed Prompt | **BBPF** multi‑channel fork | Splits channels, processes separately, merges when ΔS < 0.4 | 🛠 In progress |
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---
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## ✍️ Quick Demo — Image + Code + Text
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```txt
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Prompt:
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"Here is an image of a red cube and the Python code that renders it.
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Explain how the RGBA values map to the cube faces."
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WFGY steps:
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1. Tag Image_Node (mod=image) ΔS baseline
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2. Tag Code_Node (mod=code) ΔS vs. Image_Node
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3. Fork text explanation path (mod=text)
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4. BBMC checks residue between Code ↔ Image
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5. Output: coherent mapping of RGBA to cube faces, no modality drift
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````
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---
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## 🛠 Module Cheat‑Sheet
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| Module | Role |
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| ------------------ | --------------------------------------------------------- |
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| **Cross‑modal ΔS** | Measures tension between embeddings of different channels |
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| **BBMC** | Cleans semantic residue across modalities |
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| **BBAM** | Filters ASR/OCR noise |
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| **BBPF** | Forks/merges per‑modality paths |
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| **Semantic Tree** | Stores `mod:` tag on every node |
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---
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## 📊 Implementation Status
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| Feature | State |
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| ------------------------ | ---------- |
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| Cross‑modal ΔS calc | ✅ Stable |
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| Twin Code/Text nodes | ✅ Stable |
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| Audio noise filter | ✅ Stable |
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| Multi‑channel BBPF merge | 🛠 Alpha |
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| GUI modality viewer | 🔜 Planned |
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---
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## 📝 Tips & Limits
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* Prefix snippets with `![image]`, \`\`\`python, or `[audio]` to auto‑tag nodes.
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* For heavy video transcripts, enable `noise_gate = 0.2` in BBAM.
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* Post tricky multimodal prompts in **Discussions**—each case trains the merge logic.
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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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| Module | Description | Link |
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| --- | --- | --- |
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| WFGY Core | Canonical framework entry point | [View](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map | Diagnostic map and navigation hub | [View](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Tension Universe Experiments | MVP experiment field | [View](https://github.com/onestardao/WFGY/tree/main/TensionUniverse/Experiments) |
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| Recognition | Where WFGY is referenced or adopted | [View](https://github.com/onestardao/WFGY/blob/main/recognition/README.md) |
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| AI Guide | Anti-hallucination reading protocol for tools | [View](https://github.com/onestardao/WFGY/blob/main/AI_GUIDE.md) |
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> If this repository helps, starring it improves discovery for other builders.
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> [](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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