The speaker argues that reduced diversity is not inherent to reinforcement learning or distillation, and that distillation’s results depend on how broad its training data is.

“again i don't think this is like fundamental to rl as like a method though and same with distillation like even with distillation like you're just training on the data it's like just because your data is not like super broad”