Model accuracy is a snapshot, but production is a river. The real discipline in ML is monitoring for silent degradation, not chasing benchmark gains.
Model Accuracy Is a Lie You Tell Yourself Before Shipping I used to be the engineer who stayed up until 2am squeezing another 0.3% out of a validation set. I thought that was the job. Then I shipped enough production systems to realize something uncomfortable: the models that got replaced fastest were often the most…
