Reducing inductive bias can make a larger dataset applicable to a problem and improve model accuracy by broadening the data distribution.

“So on the one hand, you have the bitter lesson and, you know, sort of you, you remove inductive bias and you end up being able to have a larger data set that's applicable to your problem, and then that helps you to get more accurate models because your, your distribution is wider and whatever.”