Oh, fair enough. There are certainly differences; it's definitely not exact same architecture. They are both using Deep Reinforcement Learning, but e.g. AlphaGo benefits from getting an explicit representation of the board state and game rules rather than having to learn them.

Hassabis has said that in the next few months they want to try and get up to current AlphaGo performance without using any MCTS at all.