[Vitalik Proposes Introducing AI-Assisted DAO Governance to Address Low Voter Participation] According to Deep Tide TechFlow on February 23, citing Cointelegraph, Vitalik posted on the X platform on Sunday, proposing the introduction of personal AI large language models (LLMs) into decentralized autonomous organization (DAO) governance to address the long-standing issue of low participation rates in DAOs. Currently, the average voting participation rate in DAOs is only between 15% and 25%, which not only risks power centralization but also exposes governance to potential attacks. Vitalik pointed out that the core challenge of democratized and decentralized governance lies in the "limited attention span of humans." The existing delegated voting mechanism often results in decision-making power being concentrated in the hands of a few representatives, while other members almost lose their voice. He proposed that personal AI assistants could infer user preferences based on their writing records, conversation history, and direct statements, and vote on their behalf. If there is uncertainty regarding a significant issue, the AI should proactively consult the user and provide relevant background information. In terms of privacy protection, Vitalik suggested that personal LLMs could operate in a "black box" environment to handle sensitive information, outputting only the final judgment to support governance decisions involving private information while safeguarding privacy. Lane Rettig, a researcher at the Near Foundation, stated that the organization began exploring similar solutions last year, specifically using AI digital avatars to vote on behalf of DAO members.