Yeah, I don't like this title. Coding for backprop is worth getting excited about, but please don't assume it supersedes all forms of "predictive coding". Plenty of predictive learning techniques do just fine without it, including our own brains.
In keeping with the No-Free-Lunch theorem, it's also highly desirable in general to have a variety of approaches at hand for solving certain predictive coding problems. Yes, this makes ML (as a field) cumbersome, but it also prevents us from painting ourselves into a corner.
In keeping with the No-Free-Lunch theorem, it's also highly desirable in general to have a variety of approaches at hand for solving certain predictive coding problems. Yes, this makes ML (as a field) cumbersome, but it also prevents us from painting ourselves into a corner.