Abstract
It is time to update Deleuze and Guattari's contrast between Chess and Go in the ‘Nomadology’ Plateau with a discussion of AlphaGo, the artificial intelligence that revolutionised Go in 2016. I focus less on the political issues in Go nomadology, central as they are, and more on smooth space and time. I explain and speculate on some details in Go strategy, as well as some processes of machine learning. The relations between human Go, computer Go, and smooth-time nomadology remain unsettled, in my view, but many resources for nomadological analysis open up for readers who learn to play, and program, Go.