TechCrunch AI highlights that Google's AI Overview struggles with basic spelling tasks, such as counting letters in words like 'Google' and 'journalism.' These errors stem from the token-based architecture of LLMs, which break down text into numerical representations rather than reading it as humans do. While spelling accuracy may not be the primary utility of LLMs, these persistent mistakes reveal a fundamental gap in their design. As Google integrates generative AI deeper into its search engine, these limitations could erode user trust and highlight the need for more robust solutions. The ongoing challenges suggest that LLMs may need architectural innovations to handle tasks that require granular linguistic precision.