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Is AI actually starting to ‘get smarter’?! The latest research from MIT indicates that the internal structure of large language models (LLMs) astonishingly resembles that of the human brain! This study utilized sparse autoencoder techniques to conduct an in-depth analysis of the activation space of LLMs, revealing three hierarchical structural features that are truly remarkable: first, at the microscopic level, researchers discovered the existence of structures akin to ‘crystals’. The surfaces of these ‘crystals’ are composed of parallelograms or trapezoids, similar to familiar lexical analogies such as ‘man:’

Google DeepMind has discovered 2.2 million theoretically stable but unrealized crystal structures using AI tools, potentially advancing fields such as renewable energy and advanced computing. The plan is to make the most promising 381,000 structures available to other scientists. The new materials discovered using AI can be utilized in multifunctional layered materials and biomimetic computing applications.