Leela Chess Zero is a neural-network based chess engine trained entirely from self play (that's why it has the word "zero" in its name). Leelenstein uses the same binary,* but a different method to train its neural network, utilizing supervised learning.
The latest results indicate that Leela is stronger than Leelenstein. Why?
I'm especially interested in an explanation of why the zero approach is better than the supervised learning approach, if it is indeed superior (presumably it is, or I don't see why Leela would win in the first place).
*As I understand it, NN-engines need two things to operate: the binary file, and the neural network itself. Leela and Leelenstein share the same binary.