A multi-layered exploration of why “near-zero hallucinations” is not just marketing hyperbole, but a mathematical and philosophical impossibility

Vector embeddings have dominated AI memory systems, and for good reason — they’re computationally efficient and initially produced impressive results. But as we’ve scaled from simple retrieval to complex reasoning tasks, their limitations have become glaring.

Imagine an organization where no one has a boss, yet everyone knows exactly what to do. Where authority flows not from people but from roles, and where the structure itself evolves in response to the tensions the organization experiences. This isn't utopian fantasy—it's holocracy, a real organizational system operating in companies worldwide. Now imagine AI agents organized the same way: autonomous yet coordinated, adaptive yet coherent, distributed yet purposeful.

A deep exploration of how holonic principles unify agent systems, knowledge representation, temporal structures, and system design

Why agent love graphs

Fixing a DAO - NAO next hope for agents and human interaction

Why Self-Sovereign Identity, Not Blockchains, Will Power Agent Autonomy

Agents need sovereignty more than decentralization

A deep exploration of how holonic principles unify agent systems, knowledge representation, temporal structures, and system design Introduction In 1967, Arthur Koestler introduced the concept of “ho...