In 2015, we attempted to optimize YouTube's watch next feature using reinforcement learning, but it was too early and difficult. Search, on the other hand, is challenging to change and remains conservative. The transparency of the algorithm in search results is appreciated. Deep learning system deployments caused regressions over time due to drift, leading to a decrease in quality. The drift problem is slightly different with chat upt, where the best and most expensive model is initially served, but a cheaper and less well-trained model is used for frequent visitors.

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