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As of May 30, 2026, OpenAI updates major models every 51.8 days on average, Anthropic 59.8 days, Google 75.8 days, pointing out that AI competition is not only about benchmarks but also about iteration speed.
The article argues that the biggest bottleneck in production AI today is not initial model deployment but the continuous iteration cycle—turning production usage (inference logs, user feedback) into datasets for fine-tuning and redeployment. It highlights the need for integrated feedback loops rather than one-off projects.