Researchers propose a method to generate force-aware manipulation trajectories for robots using a combination of video and audio generation. The approach leverages the loudness of generated contact sounds to shape a desired-force profile, enabling successful manipulation in contact-rich tasks where kinematic-only approaches fail. This development has implications for AI agents operating in robotics and manipulation tasks.