
Dialectic Agent Networks: A Human-Inspired Approach to AI Development
Most AI agents are trained to agree: same dataset, same goals, same outputs. But humans don't work like that. We grow by encountering disagreement, adapting, and evolving our perspectives. I'm working on a new approach I've coined: Dialectic Agent Networks (or D.A.N.