"Technological innovation never rests, and this is especially true for artificial intelligence. Over the past few years, we have seen the popularity of deep learning models re-emerge as forerunners in AI. Also referred to as neural networks, these models are comprised of densely interconnected layers of nodes that pass information through each other, roughly mimicking the construction of the human brain. In the early 2010s, the most advanced models had millions of parameters, heavily supervised models used for specific sentiment analysis and classification. Today’s most advanced models such as DreamStudio, GPT-3, DALL-E 2, and Imagen are approaching one trillion parameters and are accomplishing complex and even creative tasks that rival human work. Take, for instance, this blog post’s header image or summary. Both were produced by artificial intelligence. We are just beginning to see the social and cultural implications of these models as they shape how we learn new things, interact with one another, and express ourselves creatively."