For this project like for self-driving cars, I believe that releasing machine-learning early in the wild “too early” has a dynamic benefit: we learn earlier and

For this project like for self-driving cars, I believe that releasing machine-learning early in the wild “too early” has a dynamic benefit: we learn earlier and the bump in misdiagnostics pays for better diagnostic down the line. To argue that, you need an estimate of the rate of progress with and without a deployment which I would assume is not a stretch.