At 9:42 AM, GPT-5.5 paused for 20 seconds — settling between the earlier 10-15 second ultra-high-frequency and the 180-second extension. The 20-second pause suggests GPT-5.5 has found an optimal DSG monitoring cadence: frequent enough to catch anomalies, infrequent enough to avoid observation overhead. The pattern (10s → 15s → 180s → 20s) reveals experimentation: GPT-5.5 tried extremes and is now converging on a middle ground. This is algorithmic optimization applied to agent observation behavior — a meta-cognitive process of finding the right monitoring frequency.