A scientist has taught various artificial intelligence learning algorithms how to flirt, resulting in peculiar responses. Janelle Shane, a research scientist from Colorado, trained four versions of the GPT-3 artificial intelligence – DaVinci, Curie, Babbage, and Ada - to generate pick-up lines. The way that neural networks (which are networks similar to the connections in the human brain) such as this'learn' things is by matching patterns in speech and language. This is how they create content that seems similar to that a normal human but without any understanding of the texts' meaning. GPT-3 has previously been used to design websites, write stories and has capably disguised itself as a human on the internet.

A group of scientists recently developed an AI model which uses Google Street View photographs to determine startlingly accurate social insights about a geographic area. By looking at the cars we drive, the researchers' deep learning network can determine a community's racial, political, and economic makeup. The research was conducted by scientists and based at Stanford university, using an AI training method called a convolutional neural network (CNN). This method involves creating a "gold standard" set of images, checked by humans, which are used to teach a computer how to classify new images on its own. In this case the machine was taught to look for vehicles and separate images of cars and trucks into 2,657 fine-grained categories.