Open AI’s advanced large language models, or LLMs — a kind of artificial intelligence that can generate, process and understand human language by being pre-trained on large amounts of data — are raising talk about the possibility of achieving an evolutionary step toward creating artificial general intelligence, or AGI. Subbarao Kambhampati, a professor in the School of Computing and Augmented Intelligence, part of the Fulton Schools, and some of his ASU colleagues are among those whose work is showing promise for realizing the potential for developing AGI through use of LLMs — but also reflecting the intricate challenges of such an endeavor. More than LLM advances alone would be needed to fully realize such an AI advancement, Kambhampati says.