This has very large implication for AI that go way beyond the already impressive ability to beat a human Go champ. We are starting to see the fruits of what started as neural networks decades ago. Kurtzweil may yet be proven right:

"Google's DeepMind beats Lee Se-dol again to go 2-0 up in historic Go series"

Google stunned the world by defeating Go legend Lee Se-dol yesterday, and it wasn't a fluke — AlphaGo, the AI program developed by Google's DeepMind unit, has just won the second game of a five-game Go match being held in Seoul, South Korea. AlphaGo prevailed in a gripping battle that saw Lee resign after hanging on in the final period of byo-yomi ("second-reading" in Japanese) overtime, which gave him fewer than 60 seconds to carry out each move.

"Yesterday I was surprised but today it's more than that — I am speechless," said Lee in the post-game press conference. "I admit that it was a very clear loss on my part. From the very beginning of the game I did not feel like there was a point that I was leading." DeepMind founder Demis Hassabis was "speechless" too. "I think it's testament to Lee Se-dol's incredible skills," he said. "We're very pleased that AlphaGo played some quite surprising and beautiful moves, according to the commentators, which was amazing to see."

"AlphaGo was more confident than professional players"

The close nature of the game appears to offer validation of AlphaGo's evaluative ability, the main roadblock to proficiency for previous Go programs. Hassabis says that AlphaGo was confident in victory from the midway point of the game, even though the professional commentators couldn't tell which player was ahead.

Until yesterday, the ancient Chinese board game of Go had never been played to a world-class level by an AI. Computer programs have long bested the world's leading human players of games like checkers and chess, but Go's combination of simple rules and intricate strategy has made it a major challenge for artificial intelligence research.


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