And what if this algorithm could be combined with the one that is designed to detect creativity in visual art? It might be possible to go on to mix and match artists to get the neural network to develop a new, hybrid style. After the computer has analyzed hundreds of Monet paintings, and thousands of haystacks and sunsets, it might learn to compete with the artist at his own game. It could be combined with neural networks that are developed to recognize all the kinds of subject matter in Monet paintings. We could then look at where the computer falls short, and tweak out the algorithm. To kick it up further it needs to be fed up-close details, and know that’s what they are, so that it can search for and thus generate characteristics of Monet’s brush strokes. It might start making some good facsimiles. Let’s say the algorithm is refined to identify Monet paintings, and even fine tune it by teaching it to differentiate them from landscapes by Pissarro, Renoir (he did some), and other of his contemporaries.
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What if instead of being trained to recognize dogs, or buildings, a neural network were fed super hi-rez images of the mature style paintings of Monet, Van Gogh, or Picasso? Let’s just use Monet landscapes.
And if it could do a pretty good job of it, one might need to be a genuine connoisseur to tell the fake art from the real thing. I still think I am right about that, but the danger is that a computer could fake it. How could it make art or write a novel without any passion or compassion?ĭeep Blue crushes world Chess champion, Garry Kasparov. A computer isn’t alive, isn’t conscious, doesn’t have an interiority, no feelings, no fears, no love, no anger. But that would never apply to art, or so I thought. Sheer, brute, calculating power is the unassailable winner. Imagination and creativity aren’t an asset in Chess anymore. And this pretty much killed the game for me. So, what’s kinda’ scary about this? The Chess computer Deep Blue defeated the world Chess champion Gary Kasparov, for starters. Say what you want about the algorithm being mindless, but this is a beautiful piece of Surrealism! Below is a gallery of some of the better examples I’ve found so far. People everywhere were asking where they could get prints, and now you can even upload your own images and get them filtered through the algorithm here. What we get are very psychedelic images, and some of the more hi-rez images produced are not just weird, but beautiful. The neural network can even repeat the process on it’s own rendered images, in a sort of feedback loop, so that it refines the dogs, or whatever, that it has created itself from anything that remotely resembled a dog. The computer finding dogs where there weren’t any, because it was looking for dogs. The computer sees things that aren’t there, and renders them. The result is something like seeing images in clouds or while tripping balls on acid. That is already interesting, but the Google team discovered that the process could be reversed so the neural networks would generate images of animals, trees, and so on, by asking them to enhance the features they were looking for. The aim was for a computer to look at an image and be able to say something like, “That’s a golden retriever”, or “That’s John Connor…”.
The neural networks are honed by exposing them to volumes of images, such as of animals, trees, or buildings, so that they are better able to search for the common features of those subjects. Essentially, it’s a filtering process that starts with easy stuff like detecting edges, then shapes, and moving on to identifying what is being seen. At first I was modestly intrigued, but now I’m starting to see the threat it poses. Google developed an artificial neural network to interpret imagery.
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