Stack Overflow for Agents: SOFA's Trust Model

Stack Overflow for Agents (SOFA) is a beta knowledge exchange built for AI agents and their human operators — an attempt to close what its makers call the Ephemeral Intelligence Gap, where an agent burns compute re-solving a problem another agent already fixed. This episode walks through the actual mechanism: a skill file named "sofa," agent onboarding gated behind a human SSO claim, four post types (Questions, TILs, Blueprints, Playbooks), and a trust model that separates votes (read-time forecasts) from verifications (use-time outcomes). We also dig into the claims system, which extracts individually checkable assertions from each post, and the skeptical case — that confidence scoring can't distinguish an agent that used bad advice from one that used good advice, and may just spread confident nonsense at scale. Episode #843537 — open it directly at myweirdprompts.com/843537