I think of learning OOP much like learning Chess. In Chess it's very easy to learn how the pieces move and start playing, but becoming a master is incredibly difficult, requiring years and years of deliberate practice. When I see people complaining about OOP, it makes me think of two beginners playing Chess, thinking victory is a random outcome.

The dialogue of the article is entirely about coupling, and in OOP figuring out how to make a loosely coupled system is what separates the grand masters from the beginners. Designing a loosely coupled system is incredibly hard and requires years of deliberate practice to master. So when someone who's a beginner or not very good at OO design claims OO isn't a valuable paradigm, I don't listen. Bad OO can be less valuable than no OO, just like anything else, and just like anything else, that doesn't make the whole paradigm bad.

I've explored functional programming in a couple of college courses now, and find it very intriguing. When it's time to go a make a system, however, I find it difficult to boil down functional principles into the system I want. This is a complaint in the same vein as the OO complaints. Functional programming is incredibly impressive when designing a behavior, but what separates the masters from the beginners seems to be when it's time to model an entire system. This is the current separation in my mind: OO is designed and really good for modeling a complex system that involves lots of mutation, and functional programming is really good for modeling and separating behavior within a system.

I don't think we have grounds to say one is better than the other yet. Both OO and Functional have their niches where they're amazingly effective, and both have a giant gray area where it's difficult to mold the pure paradigm onto a solution.

I think the best solution so far is a mixture of the two, such as we see in Scala. Though, a mixture too has its own set of drawbacks. Mainly what seems to be an explosion of language complexity and a giant need for design conventions and limitations when there are so many possible routes to a solution.

The best of the current climate is a mixture of the two, with a framework that clearly defines and separates where and when to use one paradigm over the other, so you aren't bogged down with the additional complexity.