The author in explores the application of ChatGPT in chemistry for generating articles and experimental designs. They also discuss questions regarding AI's use in chemistry education, research, academic integrity, critical thinking development, scientific publishing, fairness, accessibility, and potential applications. Marjour et al. examines the use of ChatGPT in generating articles and experimental designs in chemistry and raises concerns related to AI's use in chemistry education, research, academic integrity, critical thinking development, scientific publishing, fairness, accessibility, and potential applications. Castro et al. presented five chemistry tasks to evaluate the LLM's ability to understand chemistry, and they concludes that LLMs have limitations in understanding the subject, despite their seemingly valid generated answers, as they lack the ability to reason or demonstrate understanding. Fergus et al. evaluated ChatGPT's ability to answer chemistry assessment questions and its impact on learning and assessment. ChatGPT performs well in answering knowledge and understanding-related questions but has limitations in processing questions that require non-text information interpretation. ChatGPT technology is not a high-risk tool for cheating, and the study discusses its role in academic integrity and assessment design discussions. Leon et al. found that neither multiple-choice nor free response prompt formats achieved scores higher than 37%. This suggests that there is a limitation to the ability of ChatGPT to accurately answer chemistry questions, particularly those that require critical thinking and problem-solving skills. White et al. evaluated the ability of LLMs to solve chemistry problems posed as coding tasks. They introduce a framework to evaluate chemistry knowledge and find that recent LLMs can write correct code in various chemistry topics, with an increase in accuracy of 30 percentage points using prompt engineering strategies. The dataset and evaluation tools are open source for future researchers, and the authors suggest good practices for employing LLMs in chemistry. The success of these models has enormous potential for impacting chemistry teaching and research. OpenAI's GPT-4 Report revealed that ChatGPT-3.5's accuracy on the AP chemistry dataset ranges between 22% and 46%. This suggests that while ChatGPT has the potential to revolutionize education, more work needs to be done to improve its accuracy in specialized domains such as chemistry.