The ongoing discussions emphasize the unreliability of Large Language Models (LLMs) in generating accurate content, particularly in specialized fields of knowledge such as science and engineering. Users acknowledge the rapid advancements of LLMs over the past few years but express concerns about their propensity to make incorrect inferences and spurious connections. An interesting dichotomy is presented in how LLMs perform basic tasks, like planning vacations, which can be seen as a decent starting point even if the information retrieved is messy. Some commentators have drawn comparisons between LLMs and other professions that have become obsolete or unreliable, such as travel agents. Despite recognizing their limitations, others believe LLMs can be valuable tools when used appropriately for specific tasks such as coding assistance. There is a growing skepticism on the expectations people place on LLM outputs, prompting discussions on the potential for a significant gap between user expectations and the reliability of LLM-generated information.