Continual Learning: How AI Agents Get Better With Every Use | Arjun Karanam, Trajectory

The video from Sequoia Capital, featuring Arjun Karanam of Trajectory, discusses continual learning in AI. This concept explores how artificial intelligence agents can improve their performance and capabilities through ongoing use and experience. Karanam's insights focus on the mechanisms and implications of AI systems evolving over time with every interaction.