WTI Inspiring Speaker: Timothy Lillicrap | October 9, 2025

“Learning to think by reinforcing useful thoughts,” by Timothy Lillicrap Research Director, Google DeepMind In this talk, Lillicrap examines how machines can be taught to spend time thinking so that they arrive at better answers. Advances in reinforcement learning are producing models that can reason deeply and effectively about everything from games to math. Presented by the Wu Tsai Institute, Yale University. Recorded at 100 College Street in New Haven, CT on October 9, 2025. This talk is part of the WTI Inspiring Speaker Series, the Institute’s signature colloquium series featuring an interdisciplinary lineup of speakers selected for their leading-edge research that advances understanding of cognition and for their ability to bridge and communicate across disciplines. Learn more at wti.yale.edu/inspiring-speaker-series.