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That's exactly how it's trained, it competes against itself in a millions of games and updates it's neural network with the heuristics of the winning instance.

Personally, in that case I'd probably bet on AlphaZero to win. (that was a joke)

It might be an interesting question what the appropriate bet would be for win vs draw in this case, and how this would change with greater training. Presumably the more you train both sides the more likely they are to draw?

Also interesting would be to quantify the effect a small hardware handicap has, and how this trades off with training. Is more training always better than more hardware? Vice versa?

> Personally, in that case I'd probably bet on AlphaZero to win. (that was a joke)

Then I would bet on a draw.

Unless you think they are "perfectly" matched, in which case you might bet on White to win because of a hypothesized first player advantage. I think it's still an open theoretical question as to what would happen with two equally matched perfect players: https://en.wikipedia.org/wiki/First-move_advantage_in_chess

That's how it was trained.