I feel like that we're getting these huge gains on tasks that can be made faster via better architectures, regularization, normalization, data augmentation, etc

I feel like that we're getting these huge gains on tasks that can be made faster via better architectures, regularization, normalization, data augmentation, etc, such that he's right. I just wonder if it will ever feel this way for reinforcement learning.