| Very well said, and very nice to see references to others on point. As a sidebar: I'm almost distracted by the clarity. The well-formed structure of this article is a perfect template for an AI evaluation of a problem. It'd be interesting to generate a bunch of these articles, by scanning API docs for usage constraints, then searching the blog-sphere for articles on point, then summarizing issues and solutions, and even generating demo code. Then presto! You have online karma! (and interviews...) But then if only there were a way to credit the authors, or for them to trace some of the good they put out into the world. So, a new metric: PageRank is about (sharing) links-in karma, but AuthorRank is partly about the links out, and in particular the degree to which they seem to be complete in coverage and correct and fair in their characterization of those links. Then a complementary page-quality metric identifies whether the page identifies the proper relationships between the issues, as reflected elsewhere, as briefly as possible in topological order. Then given a set of ordered relations for each page, you can assess similarity with other pages, detect copying (er, learning), etc. |