I'm not exactly sure what you mean, but it sounds like sarcasm. 1) It isn't actually obvious that if you can train a model faster this will allow you to get be

I'm not exactly sure what you mean, but it sounds like sarcasm. 1) It isn't actually obvious that if you can train a model faster this will allow you to get better final accuracy. It obviously allows you to get to a result faster, but only by being able to do many of these experiments and learning from them are you able to translate faster training into better accuracy. 2) The research that allows the training to be faster (https://svail.github.io/persistent_rnns/ https://svail.github.io/persistent_rnns/) is actually really interesting.