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AI Assistants could Transform Governance: Buterin

Cointelegraph
Vitalik Buterin suggests AI assistants could solve low participation and attention limits in DAO governance by voting based on user preferences.

Summary

Ethereum co-founder Vitalik Buterin proposed that personal AI large language models (LLMs) could significantly improve decentralized governance models like DAOs by addressing the "limits to human attention." He noted that low participation rates (15%-25%) in DAOs lead to power centralization and ineffective decisions. Buterin envisions personal agents inferring user preferences from their communication history to cast necessary votes automatically. If an agent is unsure on an important issue, it should prompt the user with relevant context. Furthermore, Buterin suggested AI could handle decisions requiring private information by using a "black box" model that processes sensitive data internally and only outputs the final judgment, thereby protecting user privacy while enabling informed decisions in sensitive governance matters.

(Source:Cointelegraph)