Part 3/13:
This phenomenon is rooted in the nature of factory environments—they’re designed to optimize uniformity, reduce variability, and streamline specific tasks. Such environments inherently lack the diversity and unpredictability necessary for developing true intelligence. Just as large language models (LLMs) require the vast, messy diversity of the internet to attain reasoning capabilities, robots need exposure to the chaos of real-world settings—homes, outdoor environments, and dynamic scenarios—to evolve beyond narrow routines.