Sanmi Koyejo, an assistant professor at Stanford University, dives into the fascinating world of large language models (LLMs) and their emergent behaviors. He challenges the hype surrounding these models' capabilities, arguing that nonlinear metrics can create illusions of rapid progress. The conversation also discusses his work on trustworthiness in AI, focusing on critical aspects like toxicity and fairness. Sanmi highlights the need for robust evaluation methods as LLMs are integrated into sensitive fields like healthcare and education.