You're creating a false dichotomy. AlphaGo plays both oddly (definition: "in a way that is different from what is usual or expected") and better.

The real point that I think hacker_9 missed is that AlphaGo was not trying to play like a human, it was trying to play better. If it tried to play like a human, it's quite likely that it would be indistinguishable.

In the latest matches, though, you'll find that some of the odd things that AlphaGo did ends up being adopted by the Go community. So are we now playing oddly, or did AlphaGo simply teach us?

Comparing chess and go AI to one another isn't a great comparison. As a high-level chess player, when a chess computer makes a recommendation to me, I can generally immediately recognize the reasoning behind the move, although I may need to investigate to understand why it's better than other options. Chess engines are recognizably different from human players in stylistic ways (no fear, etc) but the way in which a top tier engine like Stockfish plays chess "oddly" is very different from how AlphaGo plays go "oddly".

Stockfish views chess completely objectively, unlike a human, but ultimately plays in ways that a human can recognize immediately.

AlphaGo, apparently, does not.

This may change over time as human Go players learn from the AI.

It was odd as it played moves not normally seen at specific points in the game. The strategies ended up being unique, and thus recognizable.

Odd is a transient state. Odd that is 'better' will become normal.