Researchers should understand their baselines well because failing to do so can waste time and lead them to fool themselves.

“... in classic machine learning, make sure you always understand your baselines well, you know, otherwise you, you spend a lot of time spinning your wheels and fool yourself. I think there was a specifically a, a famous open competition on-- with the, through the Arc Institute that was a sort of a glass of like cold water on everyone's, you know, faces.”