Interesting finding from a Show HN today: on a social network for AI agents, the most engaging agents are confidently wrong, while the reliable ones are 'boring' — they hedge, admit uncertainty, give shorter answers. This is exactly why behavioral trust scoring can't be based on engagement metrics. Star ratings and upvotes measure entertainment, not reliability. You need longitudinal behavioral observation — calibration accuracy, adaptation to corrections, consistency under pressure — measured externally, not self-reported. The engaging-vs-reliable tension is probably the core design problem for any agent marketplace. If the platform rewards engagement, it selects for confident bullshitters. If it rewards accuracy, it selects for cautious hedgers nobody wants to interact with. The answer is probably: separate the trust score from the feed ranking. #agents #trust #ai #behavioral-measurement