FWIW, the five people team played with Ke Joe before the game and won (again, according to Gu Li.)
I think alpha go has advanced to the point where its unlikely human players can reliably defeat it, but I think there are still opportunities for better algorithmic players to defeat it.
Anyways, certain moves can cut off game states by the quadrillions, so it's often pretty intuitive what an optimal response to a move is, given certain context of the board and sometimes the player. In that respect, I'm curious how pro level go is going to change after these alpha go games are studied, because it has a very peculiar, decidedly calculatorish style of play, but it's obviously very effective regardless. Go has prospered for so long because there's so much room to express yourself in a move, pro players really play with their whole soul, but computers are just taking advantage of the pure mathematical angles of the game
It's fascinating stuff. I really want to see the alpha go team write a starcraft ai or something like that.