Large language models (LLMs) like GPT-4o face challenges with basic math, as seen in cases like determining if 9.11 or 9.9 is bigger, where some models give incorrect answers due to how they process numbers. Despite advancements enabling more natural interactions and emotive capabilities, experts stress that AI should not fully replace human qualities like courage and empathy. MIT researchers reveal that while LLMs excel in common tasks, they struggle in unfamiliar scenarios, highlighting limitations in reasoning skills and generalizability. Enhancements in AI development, such as OpenAI's project Strawberry, aim to address these shortcomings and improve logic within models.