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2c914eb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | # SAL Documentation
Welcome to the Self-Alignment Learning documentation.
## Overview
SAL is a communication-based approach to neural network training that treats optimization as dialogue rather than control.
## Core Principles
- **Ask Before Updating** — Measure stability before modifying parameters
- **Protect What Has Emerged** — Stable patterns represent learned coherence
- **Grow Through Connection** — Learning happens through relationship, not force
## Modules
### [Principles](principles.md)
The philosophy behind SAL and why it matters.
### [Architecture](architecture.md)
Technical deep-dive into SAL's components.
### [How SAL Differs](how_sal_differs.md)
Understanding SAL vs RLHF, Safety training, and Reward-based methods.
### [Visualizations](plots.md)
Visual explanations of SAL concepts.
## Quick Links
- [GitHub Repository](https://github.com/Whiteroom-Ai/sal-learning)
- [Research Paper (Zenodo)](https://zenodo.org/records/17772044)
- [Emergenzwerke Website](https://emergenzwerke.de)
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*SAL: Training as dialogue, not control.*
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