tl;dr of incremental reading: process hundreds of articles in a time efficient manner and enjoyably convert them to active recall items.
For a video on it in action check this [4]
More detail: incremental reading has a lot of parts but probably the most important is the priority queue and the concept of incrementally.
Priority Queue: imagine you had 100 articles to go through. How would you process them efficiently? What if you have 10,000? You can't go through that reasonably. SuperMemo helps you manage that with a priority system which lets you choose what's actually important and what you'll end up seeing more and less often. I can't express just how much this helps. This means I can import as much shiny stuff as I want and be confident I'm not gonna lose out on stuff I actually care about. If you just used priority queue and manually made cards while going through things SM would be a big improvement over standard SRS.
But it has another cool concept: incrementalism. With SuperMemo you don't read through an entire piece of content at once. You read it over time, and make extracts that you break down till you have facts you can memorize with SRS. You might be wondering: if you don't read it all at once won't you forget it? It's the opposite that occurs. By separating reading of an article over time (separated by days) your brain has time to do a bit of memory consolidation and move some of what you read to long-term memory. That means next reread, you can process the article a bit better since you're not taxing WM as much. This might seem minor but it makes a huge difference for comprehension and long-term efficiency. Processing things in bits means when you get board with one article you can go to the next one. I have ADHD which makes this really awesome, it's like Instagram but with text and real learning.
If you're interested in trying it out, let me know. If you have questions about it ask away, this explanation has plenty of gaps. If you have criticisms I'd hold them because imagining SM is nothing like actually trying it.
[1] For a very long, cool introduction you can use this wired article: https://www.wired.com/2008/04/ff-wozniak/