This podcast episode explores the concept of physical intelligence, which combines the digital intelligence of AI with the mechanical abilities of robots. By redesigning AI to run on smaller computers and making fewer mistakes, AI can interact with the physical world and help robots perform tasks more effectively. The concept of liquid networks, inspired by the neural structure of the worm C. elegans, is introduced as a novel approach to AI that enables machines to continuously adapt and learn. This podcast episode highlights the transformative power of physical intelligence and its potential to revolutionize AI and create machines that can think, learn, and adapt to a wide range of tasks.
