Iterative deployment replaced the single, massive launch strategy to accelerate learning. While DeepMind focused on long-term research milestones, OpenAI released incremental versions to gather real-world user data. This feedback loop refined model performance faster than isolated lab testing. Practitioners should prioritize shipping early versions to identify edge cases and accelerate alignment.