One month ago I post an introduction to what I was working on, and someone suggested I should “create *something*, anything that people can look at to try and understand “. So I have written an article now. This is the link.

This article proposes a self-supervising machine learning architecture which is actually a two-step model. The first step is to construct a causal representation model, and the second step is to promote intentions for it to complete tasks. The output cannot be supervised directly but it is action control signals sparsely coding information. In these situations, the end-to-end supervised learning is not applicable anymore.

Here is the former post a month ago.