Concepts and names are kind. To give and example, in a recent post of jeremykun.com blog about math and computing the author explains a concrete case of conjugate prior without jargon. But in fact, if you know what that post is about, that is the magic word aka math jargon conjugate prior, you will find that en.wikipedia gives you many insights and links about that concept. Wikipedia is getting better and better and now there are an enormous quantity of good resources to learn form. Also informative comments, like those here in HN, are making blogging more and more difficult because your post is going to be only a drop in an ocean of knowledge where parts are interrelated. No post should reject math jargon, since those words, like conjugate priors, are the key to looking for rich and complete information about it. To give another example, if someone try to explain monads he/she should not try to avoid the term monad since monad importance relies on is capacity to model many rich and differences sceneries ranging from security to multiprocessing.
Openai or distill aim is to explain or visualize ml ideas, but I think that more than displaying animations or pretty graphics, we need clear concepts and definitions, and to inform the reader that there is no royal road to understanding, you must pay the prize to understand the main concepts, that the only real road to understanding.
To not be categorical, perhaps there should be some posts about explaining in very shallow terms what's the meaning of something, but in the end many times you end up without a real meaning of the concept and you can look hundred of same
level posts and waste your time, because the concept required to be framed on its appropriate level.
Edit: Edited for clarify and grammar.