# Automation at the Center, Humans at the Edges: Mapping Automation and Human Participation in Decentralized Networks.

## Introduction

Decentralized networks are transforming the way we approach traditional systems and organizations. Decentralized Autonomous Organizations (DAOs), Decentralized Applications (DAs), and Decentralized Communities (DCs) are some of the key components of these networks. Understanding the balance between automation and human participation is crucial for the growth and complexity of these networks. By studying the metaphor of a black hole singularity and integrating advanced principles from astrophysics and mathematics, researchers can gain deeper insights into decentralized networks and their behavior.

## Second Law of Black Hole Thermodynamics and Network Growth

The Second Law of Black Hole Thermodynamics states that the entropy of a black hole does not decrease over time. In the context of decentralized networks, this can be interpreted as the network's ability to adapt and grow with its internal capital and the participation of its members. The growth and complexity of the network depend on the balance between the automation at the core and the human interactions at the edges.

## Holographic Principle and the Boundary Between Automation and Human Interaction

The holographic principle states that the entropy of a black hole is proportional to the area of its **event horizon, which represents the boundary between the automated core and human interactions at the edges in a decentralized network**. This principle helps to understand the balance between automation and human participation and how they contribute to the overall complexity of the network.

## AdS/CFT Correspondence and Continuum of Decentralization

The AdS/CFT correspondence is a duality between Anti-de Sitter (AdS) space and Conformal Field Theory (CFT). *This correspondence can be applied to **decentralized networks to establish a continuum of decentralization, with DAOs representing the threshold crossing from DAs to DAOs.*** By visualizing the network as a continuum of decentralization, researchers can better understand the balance between automation and human participation and how it affects the network's growth and complexity.

## Conclusion

Decentralized networks are reshaping the way we approach traditional systems and organizations. Understanding the balance between automation and human participation is essential to the growth and complexity of these networks. By studying the metaphor of a black hole singularity and integrating advanced principles from astrophysics and mathematics, researchers can gain a deeper understanding of decentralized networks and their behavior, as well as the balance between automation and human participation. This balance is key to the success and sustainability of decentralized networks in the ever-evolving digital landscape.