The study conducted by MIT explores the geometry of concepts within large language models (LLMs). Researchers discovered that these models organize information in a hierarchical and complex manner, resembling atomic, cerebral, and galactic structures. The geometry of concepts manifests as geometric crystals at the atomic level, functional lobes at the cerebral level, and large-scale distributions following a power law at the galactic level. This finding suggests that LLMs may not only process information but also mimic universal patterns found in nature, paving the way for new insights into the understanding and development of artificial intelligence systems.