> My interests were constantly changing. That's exactly what I found out a few years back when I tried to do something similar with modern machine learning tec

> My interests were constantly changing. That's exactly what I found out a few years back when I tried to do something similar with modern machine learning techniques. The article we're commenting on even mentioned that, for this kind of classification to work, you need to maintain a stable viewpoint over time. I do know some people who maintain stable viewpoints over time, but they don't need fancy ML techniques to find things that are of interest of them. They tend to talk to (and be well known to) other people who have similar interests. I can't help but feel that a better solution to this problem has already been envisioned and enacted about a dozen times already. Myspace, Twitter, Livejournal, and tumblr all did a great job of showing you things you find interesting by following people who post things you find interesting. The only reason I'm still on hacker news is there's a small group of people who always post things I find interesting. I have an RSS feed set up for each of them. I also positively filter posts and comments on a few topics I always find interesting (like RSS). The downside to the method I use above is there are dry spells where there's nothing interesting to read. Is that a bug? Or a feature? A decade ago, I would have said bug, but not now. I've never had a fear of missing out, but I have been addicted to the novelty of getting a steady feed of interesting articles, essays and posts to read. I came to the conclusion I was addicted when I would spend hours reading and absorbing information that never gets used and is completely irrelevant to the tasks I need to get done and the goals I want to accomplish with my life. These days, I'm happy reading less and doing more.