Thanks. Very interesting.

Yet ...Bots can't watch cat videos:

Consider cats. As commentators like the American psychologist Gary Marcus have noted, it's extremely difficult to teach a computer to recognise cats. And that's not for want of trying. Back in the summer of 2012, Google fed 10 million feline-featuring images (there's no shortage online) into a massively powerful custom-built system. The hope was that the alchemy of big data would do for images what it has already done for machine translation: that an algorithm could learn from a sufficient number of examples to approximate accurate solutions to the question "what is that?" Sadly, cats proved trickier than words. Although the system did develop a rough measure of "cattiness", it struggled with variations in size, positioning, setting and complexity. Once expanded to encompass 20,000 potential categories of object, the identification process managed just 15.8% accuracy: a huge improvement on previous efforts, but hardly a new digital dawn..

http://www.theguardian.com/commentisfree/2014/jan/06/artificial-intelligence-understanding-big-data?CMP=fb_gu