Recent research conducted by a collaboration of institutions, including the Hasson Lab, Princeton Neuroscience Institute, NYU Langone, and Google AI, has revealed that large language models (LLMs) and the human brain share similar organizational principles for word representation. This study indicates that LLMs are more akin to human cognitive processes than previously understood. Additionally, researchers from Anthropic have developed methods to analyze the internal workings of LLMs, shedding light on their operational mechanisms and addressing concerns about their tendency to generate inaccurate information. These findings contribute to the ongoing discourse on the capabilities and limitations of LLMs in comparison to human intelligence.