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An analysis piece argues that futarchy, governance using prediction markets, solves the problem of trustless joint ownership in DAOs by protecting minority shareholders without legal systems.
This paper introduces an LLM-powered comparative pipeline for analyzing governance discourse in AI agent protocols, applying it to ERC-8004 and Google A2A to examine how institutional design shapes thematic priorities and community structure.
Empirical study shows small language models achieve 100% adversarial robustness with System 1 intuition but collapse under System 2 reasoning when used as edge-native governance firewalls in decentralized autonomous organizations.