Pics Images generated by AI have always been pretty easy to spot since they are always slightly odd to the human eye, but it's getting harder to differentiate what's real and fake. Researchers from DeepMind and Heriot-Watt University in the UK have managed to significantly boost the quality of images simulated by a generative adversarial network (GAN) by increasing the size of the machine learning model, which they dubbed BigGANs. The best results, including pictures of a brown dog with floppy ears, a island landscape, a butterfly, and a cheeseburger, look like real photos at first glance. Keep staring, however, and you will begin to see some slight inconsistencies. The dog's eyes are glazed over and there is a weird patch that doesn't belong to the butterfly's wing.