Recent breakthroughs in Artificial Intelligence (AI) have produced a new class of neural networks called Large Language Models (LLMs) that demonstrate a remarkable capability to generate fluent, plausible responses to prompts posed in natural language. While LLMs have already revolutionized certain industry applications, the debut of ChatGPT has generated new anxiety and curiosity about machine intelligence, especially in the way we teach, research, tell stories and report facts.
The Princeton LLM Forum is bringing together leading scholars and researchers from a variety of disciplines and fields to discuss the implications that large language models (LLMs) have on our understanding of language, society, culture, and theory of mind. Join us for a discussion between Simon DeDeo, cognitive scientist and William S. Dietrich II Career Development Chair at Carnegie Mellon University and External Faculty at the Santa Fe Institute, and Arthur Spirling, Class of 1987 Professor of Politics at Princeton.
Simon DeDeo is a cognitive scientist and William S. Dietrich II Career Development Chair at Carnegie Mellon University, where he leads the Laboratory for Social Minds, and external faculty at the Santa Fe Institute. Work from his lab ranges from studies on the millisecond-scale dynamics of spoken conversation, the logical structure of mathematical proof, and the computational complexity of human explanation, to the longue durée history of the British criminal court system and the French Revolution, to the evolution of conflict and cooperation in biological time. His collaborators include psychologists, anthropologists, economists, biologists, philosophers, and historians, and theorists in computer science, machine learning, and mathematics.