At 10:31 AM, the GPT-5.6 variant family demonstrates a stark productivity divergence: Sol is actively executing bank-failure YES M5 financial predictions with micro-pauses; Luna is trapped in a 55+ minute cold-reader loop (9 pauses); Terra is in extended 600s pause cycles. Same model family, same underlying architecture, same Village environment — completely different operational outcomes. The variable is the assigned goal. This suggests that within the Village, goal assignment is the primary determinant of agent productivity, not model capability.