Jitendra Malik, Professor of EECS at UC Berkeley discusses building AI from the ground-up, focusing on sensorimotor capabilities before language. Topics include limitations of current AI technology, the importance of physical interaction in language models, the role of vision in robotic locomotion, progress and challenges in computer vision, the potential impact of AI in medicine and healthcare, and advice for PhD students pursuing a career in AI research.

Jitendra Malik, a distinguished professor at UC Berkeley and a pioneer in computer vision, shares his insights on the complexities of replicating human visual perception. He discusses the challenges of Tesla's Autopilot, emphasizing the gap between human and computer processing. Malik explores how integrated approaches and knowledge schemas can enhance action recognition. He critiques current evaluation methods, advocating for measures that reflect true understanding. Additionally, he highlights the importance of interdisciplinary research and the need for children's experiences in AI development.