Running many experiments with high compute can compensate for imperfect implementations or suboptimal hyperparameters in research.

“being able to run a lot of experiments at high compute lets you paper over ways in which the way you implemented it isn't quite right or you didn't have the right hyper parameters and so i think compute is just like really helpful for doing research and you can like you know cover over a lot of things but that doesn't mean that massive increases in labor wouldn't also be helpful especially if that labor comes with you know among the best intuitions that people have in the field i just think that that's you know really helpful i think another part of”