Scientists tested the creativity of AI models, and the results were surprisingly homogeneous
A recent study published in PNAS Nexus suggests that while artificial intelligence chatbots can match or exceed human creativity on individual tasks, they produce highly similar responses when compared to one another. This provides evidence that widespread reliance on artificial intelligence for creative tasks could lead to a loss of unique ideas. Scientists Emily Wenger and Yoed N. Kenett designed this study to understand how large language models affect the diversity of human thought. Large language models are the technology behind popular AI chatbots that predict and generate text based on user prompts. Large language models are complex computer programs designed to process and produce human language. Developers build these systems by training them on billions of sentences from books, articles, and websites. By analyzing this vast amount of text, the models learn the mathematical patterns and relationships between words. When a user gives a chatbot a prompt, the model works by calculating the most probable next word in a sequence. It builds responses one word at a time based on the rules and associations …









