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54004abe71
Created comprehensive Obsidian vault for managing Research Stack knowledge: Core Structure: - 00-MAP/ - Navigation, Dashboard, Core Concepts, Glossary, Getting Started - 01-LAYERS/ - All 7 USTSM layers (L0-L6) with formal proofs, docs, receipts, hardware - 07-RESEARCH/ - Milestones, Attack Plans, Conjectures, Experiments - 08-TOOLS/ - Templates, Workflows, Scripts - 09-REFERENCES/ - External resources - 10-ARCHIVE/ - Completed items Configuration Files: - .obsidian/app.json - Vault settings - .obsidian/community-plugins.json - Plugin configuration - .obsidian/snippets/research-stack.css - Custom theme with layer colors - .obsidian/plugins/ - Templater, QuickAdd, Dataview settings - .obsidian/workspaces.json - Pre-configured workspaces Templates Created: - Formal Proof - For Lean theorem documentation - Attack Plan - For research initiatives - Milestone - For project milestones - Receipt - For validation receipts - Daily Standup - For daily progress tracking Features: - Dataview dashboard queries for system health - Layer-specific color coding (L0-L6) - Receipt styling and validation status - Graph view customization - QuickAdd commands for rapid note creation - Templater automation with research helpers - Pre-configured workspaces for different activities Documentation: - README.md - Complete vault guide - Getting Started.md - Step-by-step tutorial - Core Concepts.md - Fundamental principles - Glossary.md - Research Stack terminology Burgers 4-Theorem Attack Plan documented: - Energy Dissipation theorem - CFL Stability theorem - Mass Conservation theorem - Complexity Regularization theorem Generated with [Devin](https://cli.devin.ai/docs) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
48 lines
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962 B
Markdown
48 lines
No EOL
962 B
Markdown
# Layer L6: Meta
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## Overview
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Self-aware adaptation, cognitive routing, and auto-adaptive metatyping.
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## Status
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🟡 **Partial** - Cognitive receipts and projection hold
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## Key Components
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### Cognitive Load Decomposition
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- 5-factor cognitive model
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- Load distribution
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- Cognitive resource management
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### Adaptation
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- Self-modifying algorithms
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- Parameter optimization
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- Environment response
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### DynamicCanal
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- Adaptive routing
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- Dynamic path selection
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- Load balancing
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### CompressionMechanics
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- Adaptive compression
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- Self-optimizing algorithms
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- Information density maximization
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### Connectome-Protective Load Reweighting
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- Neural network protection
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- Synaptic weight management
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- Learning rate adaptation
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## Formal Proofs
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- [[Cognitive Load Bounds]]
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- [[Adaptation Convergence]]
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- [[Self-Modification Safety]]
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## Documentation
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- [[Meta-Adaptation Framework]]
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- [[Cognitive Architecture]]
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- [[Self-Improvement Limits]]
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---
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#layer-L6 #meta #cognitive |