BOARDGAME GLOBAL DOMINATOR Deepmind AlphaGo has picked up human ragdoll Lee Sedol, shook him over a five-game battle of Chinese board game Go and thrown him to the ground four times a loser.
This has been a long battle between man and machine, and not one that machine totally dominated. Our nominated meat sack, a champion Go player called Lee Sedol, managed to pluck one victory away from technology teeth, and could have done as well as losing by three games to two. As it was humankind must settle with four games to one, or even more if we count the drubbing that Google has already given someone.
Google is not the only company that likes to play Go, and Facebook too likes to give it a go. Facebook has stepped in following the final and made some snarky comments about it. To be fair Google did rather rub the Zuckerberg nose in the Go sand last year.
The Facebook part of this has not let this go, no pun intended, and during the week long five-game competition Yann LeCun, Facebook's head of AI research, has been throwing shade at the event.
"The successor of AlphaGo should be called BettaGo (haha!) and include online adaptation to the opponent," he said at one point. "Congrats to the DeepMind AlphaGo team for this Grand Slam," he added at the end. "Now, can you do it purely through reinforcement learning, without pre-training the convolutional net on recorded games between humans?"
Ouch, presumably in these circles this is some fighting talk. In case that wasn't clear, the Guardian adds that he also linked to some research that he said might put the "AlphaGo result in perspective."
Humanity doesn't just lose its self-respect here, there's money at stake as well - a cool $1m. What exactly AlphaGo will do with the cash is anyone's guess. What's the going rate for FemBots these days? µ
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