From 131d93975969011e46fc3f9186bdc82d190bd8ee Mon Sep 17 00:00:00 2001 From: m3taversal Date: Mon, 9 Mar 2026 19:55:10 +0000 Subject: [PATCH] leo: add collective AI alignment section to README - 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 --- README.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/README.md b/README.md index 9e84962..b57a855 100644 --- a/README.md +++ b/README.md @@ -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:**