It's hard to make a fair comparison, because there hasn't been anywhere near as much money, effort, or compute invested in trying to scale up routing methods.

It's hard to make a fair comparison, because there hasn't been anywhere near as much money, effort, or compute invested in trying to scale up routing methods. Promising approaches are often ignored for reasons that have little to do with their merits. For example, Hinton, Bengio, and Lecun spent much of the 1990's and all of the 2000's in the fringes of academia, unable to get much funding, because few others were interested in or saw any promise in deep learning! Similarly, Katalin Karikó lost her job and spent almost two decades in obscurity because few others were interested or saw any promise in RNA vaccines! Now, I'm not saying routing methods will become more popular in the future. I mean, who the heck knows? What I'm saying is that promising approaches can fall out of favor for reasons that are not intrinsic to them.