Explore the cutting-edge field of natural language understanding through adversarial testing in this 59-minute Stanford University webinar. Delve into Professor Christopher Potts' insights on the current state and future potential of AI research, with a focus on his course XCS224U. Discover how adversarial testing challenges top-performing systems to reveal their weaknesses and drive innovation. Gain valuable perspectives from former students as they present original projects developed during the course, showcasing the practical application of concepts learned. Examine topics such as image captioning, natural language inference, and the evolution of AI systems like Watson. Learn about standard and adversarial evaluations, assignment structures, and the process of developing research projects from literature review to conclusion. Acquire a comprehensive understanding of the motivations, methodologies, and potential breakthroughs in natural language understanding.