These technologies in their current state, however, remain hampered by issues regarding the handling of references and the spread of misinformation. Potential solutions have been proposed recently, including fine-tuning for citations , and retrieval-augmented generation . These approaches partially mitigate these issues , paving the way for the future tools we envision. In addition, some reports show that reliance on such technologies may hinder learning while boosting confidence in acquired knowledge , providing devious illusions of learning. Given the ubiquitousness of such systems, addressing these issues while leveraging technologies will become an important topic in chemical education research.