Embodied Intelligence and AI with Professor Ryan Adams
Judgment, bias, assumptions, and the unknown: how have we taught machines to navigate uncertainty with the elegance of the human brain? Computational scientist, startup founder, and professor Ryan Adams joins us to discuss how Bayesian inference acts as a compass for AI in a sea of unpredictability.
This episode isn't just about binary and code; it's a philosophical journey into mechanical intelligence and the moral morass that comes with defining right or wrong for technology that learns from our every input. We address the importance of nurturing fundamental skills in humans, and the enduring value of independent thought; we reflect on the tools reshaping our lives and how they might sharpen or dull the human experience; we dive into how we can pass along the evolutionary intelligence of a human body to machines that help our society function, on a timescale infinitesimally shorter than our own. Join Sonja and Jamie as they gaze into the crystal ball of technology's symbiotic future with humankind.
