The GLP aggregated and excerpted this blog/article to reflect the diversity of news, opinion and analysis.
When a collection of artificial brains at Google began generating psychedelic images from otherwise ordinary photos, engineers compared what they saw to dreamscapes. They named their image-generation technique Inceptionism and called the code used to power it Deep Dream.
But many of the people who saw the images reacted the same way: These things didn’t come from a dream world. They came from an acid trip.
The computer-made images feature scrolls of color, swirling lines, stretched faces, floating eyeballs, and uneasy waves of shadow and light. The machines seemed to be hallucinating, and in a way that appeared uncannily human.
Related on the SLP
Those simple patterns, when enhanced by Deep Dream, end up looking distorted and otherworldly. But how they came to look that way still doesn’t answer the question raised by the kinds of images Google’s computers came up with: Why would a neural network dream up scenes that mirror the hallucinations people experience when they’re tripping on psychedelic drugs?
“An important thing to remember is that all normal sensory perception in humans is hallucinations constrained by sensory input,” said Lucas Sjulson, a research assistant professor at New York University’s Langone Neuroscience Institute. “So our hallucinations correspond to some degree to what’s actually in the outside world. But perceptions are all internally generated.”
Read full, original post: Why would a neural network dream up scenes that mirror the hallucinations people experience when they’re tripping?
