As we show in this article, a machine learning system built using GPT-3 works impressively well for a wide range of questions in chemistry-even for those for which we cannot use conventional line representations such as SMILES. Compared to conventional machine learning, it has many advantages. GPT-3 can be used for many different applications. Each application uses the same approach, in which the training and use of the model are based on questions formulated in natural language. This raises the bar for future machine learning studies, as any new models should at least outperform this simple approach instead.