![]() That being said - I really find your comments disturbing Bill. I mean - hell - you detractors are leaving yourselves AWFULLY let's try not to summarily judge peopleor things because weĭon't 'click' with them.! That's just about the most immature thing I can Rowell is a brainless idiot with no taste (regardless that it might actually be "We see our world reflected back to us via something that is great at textures and lighting but doesn't understand the basics of how objects work."įor those who enjoy being creeped out and want to create their own nightmare-triggering images, they can do so with the online AI art tool Ganbreeder, Shane added.Hey - I don't go marching around saying Ansel Adams sucks and that Galen Often, AI's interpretation of our world can be similar enough to be familiar and different enough to cause unease, "which is what makes AI-generated images so deeply unsettling," Shane said. ![]() A neural network called StyleGAN recently generated astonishingly realistic photos of human faces (though its efforts to re-create cats were frankly horrifying). Shane reviewed the Twitter picture using image-recognition AIs that had been trained on the same data set as BigGAN they determined that the oddball "objects" were likely derived from images categories such as toy shop, bakery and grocery store, she wrote in a series of tweets.ĪI doesn't always fail so miserably at creating realistic scenes. Tweaking parameters in a model that generates images of dogs and flowers, for example, can result in a delightful crop of dogflowers. In fact, Shane previously wrote about BigGAN doing just that on her blog, AI Weirdness. Rather, they're digital composites of multiple objects that have been smushed together by the algorithm. ![]() The objects are unrecognizable because they don't exist in the real world. "It was trained to generate about 1,000 distinct categories of images, but a fun thing about GANs is that you can also ask them to generate images that are a mix of categories," she said. "This kind of neural net, called a Generative Adversarial Network (GAN), learns to generate images from thousands of example photos," Shane said. Shane told Live Science that she was "95% sure" this image was created by a neural network called BigGAN, an algorithm Google trained to compose detailed photos from scratch. The viral picture was likely generated digitally by artificial intelligence (AI), said Janelle Shane, an electrical engineering researcher who trains neural networks - a type of AI that "learns" in a manner similar to a brain. "I can get some of it, but never enough to know what I'm seeing." Machine dreams But then it becomes something else, and then something else. "I think the creepiness comes from our brains' attempts at recognizing a pattern, zeroing in on that pattern, and then having the expected pattern continually disrupted by another recognizable pattern," Schlozman said. Steven Schlozman, an assistant professor of psychiatry at Harvard Medical School, told Live Science in an email. No matter how much your brain tries to make sense of the image, it just won't resolve into something familiar this further intensifies feelings of discomfort, Dr. "We also can get creeped out by confusing things that press competing buttons in our brain, making it hard for us to categorize or understand what we are looking at," he said. But clearly this image doesn't pose a threat, so what's going on? ![]() When a person is unsure if something could be harmful, it's normal to experience a sense of unease, McAndrew said. ![]()
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