Quite unusual, to have computers make such qualitative decisions – on ordinary user level, mind you. Google might then, as well, be shown black squares by Malevitš and Lapin – asking the computer, which artist has done a more creative job. It feels like an impossibility, for how will a computer know which square I like most… or, coming back to where we begun – which travel pictures I would count worthy to be kept. So: the mere fact that Google is trying to make a computer guess your preferences, is remarkable.
Even more remarkable is the way they do it. Among other things, they look to see what is happening on the pictures. Do they feature any famous objects? A well-known scene? Are there people on the pictures? Are these people, to the knowledge of the social network Google+, relatives of yours? Is the picture pretty, aesthetically? Indeed, hundreds of people have, for the sake of Google’s self-educating algorithms, evaluated various photos and thereby the computers have gotten a hang on what kinds of pictures people like.
This may sound appalling. But, actually, algorithms of this sort already do a lot of controlling in our lives. They drive planes; they decide which way we go according to the GPS; which books we purchase over Amazon; what music we listen to over Spotify; whose news are shown to us in Facebook. On the stock markets, algorithms do most of the work for a long time, already. Slowly but surely humanity yields decision making to computers – this being comfortable. Computers are fast, they cannot be emotionally manipulated. Nor bribed. And, should something go wrong, we may boldly blame them, for they cannot defend themselves. Decision making takes concentration, digging deep. Which takes time. And… we don’t have time, because we are so busy keeping track with who, of our friends in Facebook, have added new pictures, or discovered a new fun café.