Evidence That NNs Work Best With Multiple Modules

Researchers at Fujitsu an MIT have shown that for understanding images, NNs work best when broken into multiple modules, each of which does a separate part of the work.

https://www.techradar.com/news/boffins-unveil-artificial-intelligence-that-thinks-just-like-we-do

It seems obvious to me that the same will apply to chess: one NN to do everything is clearly not the way. This partially explains why NNs trained on several order of magnitude more games than any human will ever see are unable to beat top humans at ply 1.