An LLM-assisted pipeline applied to 4,323 governance records finds that permissionless and corporate AI agent protocols show similar participation inequality and fragmentation but denser thematic alignment in the open setting.
Link, Kevin Lumbard, and Sean Goggins
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Agentic Analysis for Agentic Infrastructure: An LLM-Powered Pipeline for Comparative Governance of DAO and Corporate AI Protocols
An LLM-assisted pipeline applied to 4,323 governance records finds that permissionless and corporate AI agent protocols show similar participation inequality and fragmentation but denser thematic alignment in the open setting.