This video explores the puzzling phenomenon where AI systems with advanced reasoning capabilities often struggle when deployed as interactive agents in real-world scenarios. Discover why sophisticated AI minds get trapped in overthinking loops, make illogical decisions despite feedback, or fail to complete tasks altogether. The 36-minute exploration examines specific patterns of AI overthinking such as Analysis Paralysis and Rogue Actions, while investigating the fundamental disconnect between abstract intelligence and practical execution capabilities. Drawing from research by teams at Google DeepMind, UC Berkeley, ETH Zurich, University of Illinois Urbana-Champaign, and Carnegie Mellon University, learn about the critical challenges that must be overcome to create AI agents that can effectively bridge the gap between reasoning and action in dynamic environments.
Overview
Syllabus
The AI Reasoning Paradox: Why Agents FAIL
Taught by
Discover AI