Recent discussions in the artificial intelligence community have highlighted ongoing concerns regarding the reliability of large language models (LLMs). A new tool has shown minimal progress in reducing the phenomenon known as 'hallucinations,' where AI generates false or misleading information. Experts, including Gary Marcus, have warned that the rush to deploy AI technologies in Silicon Valley may overlook necessary safeguards, potentially leading to an 'AI winter' if these issues are not addressed. Additionally, a perspective paper published in Nature Machine Intelligence emphasizes the risks of misinformation associated with LLMs, underscoring the need for effective fact-checking and ethical considerations in AI development. However, some recent research suggests that LLMs can be viewed as controllable tools, alleviating concerns about their existential threat.