Several reports and analyses have highlighted a critical issue in the artificial intelligence industry: the companies developing large language models do not fully understand how or why these models operate as they do. Despite the rapid advancement and deployment of powerful AI systems capable of superhuman intelligence, their inner workings remain largely a black box even to their creators. These models can occasionally produce inaccurate or fabricated information, a phenomenon acknowledged by leading AI firms. This lack of transparency and understanding raises concerns about the reliability and predictability of AI technologies.