is sounds counter-productive because the teacher is still learning from the training data itself; however, benefits derive from <em>softening</em> the teacher's knowledge by applying <em>temperature</em> when distilling it to the student, dampening overconfidence for best moves and amplifying policy predictions for worse moves. From this the student can discern the <em>texture</em> of the distribution; for example, rather than just being told that queen-takes-h7-with-check is good here and everything else i