| Two ideas that come to mind: Quantum computing understandable for simple tech people (not quantum physicists). There is so much noise (as in SNR) on the internet about this topic, and I think I have a reasonable grasp of it, but I don't have a big audience nor the time to write it all down. A good source on that would be great. Machine learning: where are we and does it hold any promise for future work, or is it a dead end beyond optimizing what we're already doing with it? Neural networks sounded like "oh, with enough compute power, we can simulate a brain right?" but so far the models show no level of true understanding whatsoever (to the best of my knowledge). ------ While writing answers on the IT Security StackExchange website, I often find that answers of mine which I found dull and uninteresting (they logically follow from basic knowledge) are popular in terms of views and votes. Usually it's somewhat predictable, but I'm regularly surprised by what people find interesting and useful. One example was about receiving email without a "to" field ('how did it end up in my inbox?'), which I thought was a niche question (only people who run their own mail server would have that, I thought, and they know SMTP right?), but 80 upvotes tell a different story. And like other commenters said: it's not so much about what topic you choose, but about how well you can explain it. Of course pageviews is your quality of writing multiplied by the general interest level (bad quality but huge interest might still get you a lot of views), but most of the time there turn out to be a lot of people interested if you only explain it well, so the quality matters more than the topic. |