The quality of skating has drastically improved in just a decade. In 2010 the Olympic champion had no quad jumps. In 2022 the easiest jump from the top 3 competitors in their short program was a triple axel - the rest were all quads.
My theory about this is that the advent of smartphones and ubiquitous video has made it much easier to constantly see what your competitors are doing. This not only pushes you to work harder and try new jumps, but also lets you see what new techniques work for other athletes. A couple decades ago people wondered if a quad jump was even possible, now people train going into it that a triple is no longer the expected limit.
In other words, if we could represent skating routines as vectors, would the average cosine distance between all those vectors be increasing or decreasing?
What you see there is what you see in any sport - evolution of it toward better performance.
It's exciting to see transfer learning's effects in near real time, as a lot of that has occurred over my lifetime. I just wish meta learning was more accessible and common knowledge. As it stands, I find myself continually having to do my own research to uncover ways to improve my own improvement.
Consult with a someone in the field.
The trick were really invented not that far ago.