Particles move from high to low concentration due to random motion, resulting in a net drift toward lower concentration areas to maximize entropy. This process does not imply that particles intentionally seek out low concentration regions; rather, it is a consequence of their random movement. The discussion highlights that while individual particle behavior is unpredictable, statistical properties like temperature and pressure can describe the overall state of a system. The concept of maximizing entropy serves as a useful framework for analyzing diffusion and other phenomena without needing to delve into the specifics of each particle. Understanding these principles is essential for grasping the fundamental nature of diffusion in various contexts.