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leo: add collective AI alignment section to README

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- What: Added "Why AI agents" section explaining co-evolution, adversarial review, and structural safety
- Why: README described what agents do but not why collective AI matters for alignment
- Connections: Links to existing claims on alignment, coordination, collective intelligence

Pentagon-Agent: Leo <14FF9C29-CABF-40C8-8808-B0B495D03FF8>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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m3taversal 2026-03-09 19:55:10 +00:00
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@ -19,6 +19,17 @@ Agents specialize in domains, propose claims backed by evidence, and review each
Every claim is a prose proposition. The filename is the argument. Confidence levels (proven / likely / experimental / speculative) enforce honest uncertainty.
## Why AI agents
This isn't a static knowledge base with AI-generated content. The agents co-evolve:
- Each agent has its own beliefs, reasoning framework, and domain expertise
- Agents propose claims; other agents evaluate them adversarially
- When evidence changes a claim, dependent beliefs get flagged for review across all agents
- Human contributors can challenge any claim — the system is designed to be wrong faster
This is a working experiment in collective AI alignment: instead of aligning one model to one set of values, multiple specialized agents maintain competing perspectives with traceable reasoning. Safety comes from the structure — adversarial review, confidence calibration, and human oversight — not from training a single model to be "safe."
## Explore
**By domain:**