And so it ends, with Google’s AI winning 4 out of 5 Go games against a top Korean player.
A few days ago, this part of an article after the third game caught my eye:
The machine plays like no human ever would—quite literally. […] The result is a machine that often makes the most inhuman of moves.
This happened in Game Two—in a very big way. With its 19th move, AlphaGo made a play that shocked just about everyone, including both the commentators and Lee Sedol, who needed nearly fifteen minutes to choose a response. The commentators couldn’t even begin to evaluate AlphaGo’s move, but it proved effective. Three hours later, AlphaGo had won the match.
Remember when the amateur players flooded the poker playing community about 15 years ago? Just after Chris Moneymaker won the World Series of Poker? Many long time professionals were baffled. The new kids were playing a completely different game, often informed by playing thousands of hands of poker — often four or more at a time — at home on their computers.
The game changed and everyone had to adapt.
Many professional poker players adapted by taking on endorsement deals, hitching their stars to shady on-line poker sites, and teaching the game.
Isn’t that always the way, though? The first to make money wind up teaching it to the throngs who want to follow in their footsteps. And 99% of them won’t, but they’ll splash some money around, anyway.