Ethereum's Vitalik Buterin Proposes AI 'Stewards' to Revolutionize DAO Governance

In a recent proposal, Ethereum cofounder Vitalik Buterin has proposed the use of personal artificial intelligence agents to help reinvent decentralized autonomous organization (DAO) governance. This plan aims to address issues such as low participation, power centralization, and coercion in DAOs.

Buterin's proposal outlines a system that utilizes zero-knowledge proofs and secure environments, such as multi-party computation (MPC) or trusted execution environments (TEEs), to protect voter identity and sensitive data while preventing coercion and bribery. The AI stewards would operate within these secure environments, enabling them to process private data without leaking it to the public blockchain.

The primary objective of this system is to shift users away from delegating votes to large token holders and instead allow individuals to deploy their own AI model, trained on their past messages and stated values, to vote on the thousands of decisions DAOs face. Buterin emphasizes that "there are many thousands of decisions to make, involving many domains of expertise, and most people don't have the time or skill to be experts in even one, let alone all of them."

To address this issue, personal LLMs (Large Language Models) would be used to solve the attention problem. This means that individuals could use their own AI model to make decisions on behalf of themselves, without having to dedicate significant time and effort.

Buterin's proposal also emphasizes privacy and anonymity. The AI stewards would operate within secure environments such as MPC or TEEs, enabling them to process private data without leaking it to the public blockchain. Additionally, zero-knowledge proofs (ZKPs) would be used to allow users to prove they're eligible to vote without revealing their wallet address or how they voted.

This system would also include prediction markets, which would enable agents to bet on the likelihood that proposals would be accepted. Good bets would earn payouts, incentivizing valuable contributions while penalizing noise. Furthermore, privacy-preserving tools such as multi-party computation and trusted execution environments would be used to assess sensitive data, such as job applications or legal disputes, without exposing it on a public blockchain.

Overall, Buterin's proposal represents an innovative attempt to address the challenges faced by DAOs in terms of governance, participation, and security. By leveraging AI and secure technologies, we may see a shift towards more decentralized and participatory decision-making processes.

Conclusion:

Vitalik Buterin's proposal for AI stewards to help reinvent DAO governance is an interesting development in the world of blockchain technology. The use of personal AI models, zero-knowledge proofs, and secure environments offers a promising solution to address issues such as low participation and power centralization. As we continue to explore the potential of decentralized autonomous organizations, it will be fascinating to see how this proposal evolves and impacts the broader community.

Keywords: Ethereum, DAO governance, AI stewards, Zero-Knowledge Proofs, Multi-Party Computation, Trusted Execution Environments, Personal LLMs, Prediction Markets.

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