generative AI tagged posts

Large language models (LLMs) such as ChatGPT and Google Gemini excel at being trained on large data-sets to generate informative responses to prompts. Yi Cao, an assistant professor of accounting at the Donald G. Costello College of Business at George Mason University, and Long Chen, associate professor and area chair of accounting at Costello, are actively exploring how individual investors can use LLMs to glean market insights from the dizzying array of available data about companies.

Their new working paper, appearing in SSRN Electronic Journal and co-authored with Jennifer Wu Tucker of the University of Florida and Chi Wan of University of Massachusetts Boston, examines AI’s ability to identify “peer firms,” or product market competitors in an industry.

A common truism among statisticians is that “the data don’t lie.” However, recent findings by Italian researchers may make those who study data think twice before making such assumptions.

Giuseppe Giannaccare, an eye surgeon at the University of Cagliari in Italy, reports that ChatGPT has conjured reams of persuasive phony data to support one surgical eye procedure over another.

“GPT-4 created a fake dataset of hundreds of patients in a matter of minutes,” Giannaccare said. “This was a surprising—yet frightening—experience.”

There have been countless stories of ChatGPT’s great achievements and potential since the model was unveiled to the world a year ago...