Personal AI agents could solve DAO failures
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Ethereum co-founder Vitalik Buterin identified limits to human attention as the core problem plaguing decentralized autonomous organizations (DAOs) and democratic governance systems. Summary Buterin says limited human attention is DAOs’ core governance flaw. Personal AI agents could vote using user preferences and context. Suggestion markets and MPC may improve privacy and decisions. Writing on X, Buterin argued that participants face thousands of decisions across multiple domains of expertise without sufficient time or skill to evaluate them properly. The usual solution of delegation creates disempowerment where a small group controls decision-making while supporters have no influence after clicking the delegate button. Buterin proposed personal large language models as the solution to the attention problem and shared four approaches. Personal governance agents, public conversation agents, suggestion markets, and privacy-preserving multi-party computation for sensitive decisions. Personal LLMs can vote based on preferences Personal governance agents would perform all necessary votes based on preferences inferred from personal writing, conversation history, and direct statements. When the agent faces uncertainty about voting preferences and considers an issue important, it should ask the user directly while providing all relevant context. “AI becomes the government” is dystopian: it leads to slop when AI is weak, and is doom-maximizing once AI becomes strong. But AI used well can be empowering, and push the frontier of democratic / decentralized modes of governance. The core problem with democratic /… — vitalik.eth (@VitalikButerin) February 21, 2026 Public conversation agents would aggregate information from many participants before giving each person or their LLM a chance to respond. The system would summarize individual views, convert them into shareable formats without exposing private information, and identify commonalities between inputs similar to LLM-enhanced Polis systems. Buterin noted that good decisions cannot come from “a linear process of taking people’s views that are based only on their…
Filed under: News - @ February 21, 2026 8:25 pm