Here is the follow up to that intro:

This player, it should be mentioned, is not human, but an algorithm on a graphics processing unit programmed by a company called DeepMind. Instructed simply to maximise the score and fed only the data stream of 30,000 pixels per frame, the algorithm — known as a deep Q-network – is then given a new challenge: an unfamiliar Pong-like game called Breakout, in which it needs to hit a ball through a rainbow-coloured brick wall. “After 30 minutes and 100 games, it’s pretty terrible, but it’s learning that it should move the bat towards the ball,” explains DeepMind’s cofounder and chief executive, a 38-year-old artificial-intelligence researcher named Demis Hassabis. “Here it is after an hour, quantitatively better but still not brilliant. But two hours in, it’s more or less mastered the game, even when the ball’s very fast. After four hours, it came up with an optimal strategy — to dig a tunnel round the side of the wall, and send the ball round the back in a superhuman accurate way. The designers of the system didn’t know that strategy.”

This sounds very much like a sci fi movie where the computers start outpacing their programmers.  Let’s hope technology does not outpace our ability to make it useful or manage it!

thanks to wired magazine for the great info