[vintermann]

This is what I find most impressive, that it's a natural hierarchial method which seems so general, yet is actually quite competitive. I feel like the machine learning community has been looking for that for a long time. Non-generative uses (like hierarchial embeddings, maybe? Making Dewey's decimal like embeddings for anything!) are even more exciting.

[diyer22]

Exactly! The paragraph on Efficient Data Compression Capability in the original paper also highlights:

> To our knowledge, Taiji-DDN is the first generative model capable of directly transforming data into a semantically meaningful binary string which represents a leaf node on a balanced binary tree.

This property excites me just as much.