In this discussion, David Duvenaud, a University of Toronto professor specializing in probabilistic deep learning and AI safety at Anthropic, dives into the challenges of assessing whether AI models could sabotage human decisions. He shares insights on the complexities of sabotage evaluations and strategies needed for effective oversight. The conversation shifts to the societal impacts of a post-AGI world, reflecting on potential job implications and the delicate balance between AI advancement and prioritizing human values.