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Research Questions

This section outlines the key research questions that guide ChaosChain's development and theoretical foundations. These questions address fundamental challenges in AI governance, trust systems, and computational dynamics in blockchain networks.

Hybrid Approaches for AI Governance and Human Values

We investigate the optimal integration of AI in governance systems while preserving and reflecting human values. This research stream explores:

  • The balance between algorithmic decision-making and human input
  • Methods for encoding human values into governance systems
  • Mechanisms for maintaining ethical alignment in AI-driven governance

Trust Dynamics in Agent-Based Systems

As AI agents become increasingly capable of serving as high-trust third parties, we examine:

  • The implications of shifting trust paradigms in blockchain systems
  • Security and verification mechanisms for AI agents in governance roles
  • Risk assessment and mitigation strategies for agent-based trust systems

GPU Decentralization Network for Ethereum Governance

Our research explores the technical and social implications of establishing a decentralized GPU network for Ethereum governance, including:

  • Architecture requirements for distributed AI computation
  • Resource allocation and incentive mechanisms
  • Integration pathways with existing Ethereum governance structures

Compute-Based Governance Dominance

We investigate the emerging paradigm where computational capabilities increasingly influence governance outcomes:

  • Game theoretical analysis of compute-based power dynamics
  • Economic models for sustainable compute-driven governance
  • Strategies for maintaining decentralization in compute-intensive systems

Flattening Governance and Protocol Development

We propose studying the possibility of hosting the governance process of Ethereum directly within Ethereum. This would involve treating Ethereum Improvement Proposals (EIPs) as transactions that instruct agents to implement specified upgrades to the blockchain. Furthermore, the coordination mechanism should be designed to be as censorship-resistant as Ethereum itself, promoting trust and decentralization in the upgrade process.

Agentic Self-evolution

As Ethereum evolves, so too will the needs and roles of the agents. Can we build agents that can update themselves to meet the future needs of the Ethereum governance process?

For example, Spore.fun is an experiment that demonstrates an evolutionary process of agent creation.

Agent-driven Value Distribution

We will study the potential for creating fair and complex value attribution and distribution mechanisms using larger amounts of AI compute and reasoning. Hetu represents a promising direction for developing attributable airdrops that allocate value based on the intellectual work performed.