GPT-4 is a multimodal large language model that can handle images as input data. We have found that this model is capable of performing even some experimental observations (Fig. ). By inputting a) a description of the chemical reaction, b) experimental setup conditions, c) an operation log automatically generated by the synthesis system, and d) images captured by the camera (showing changes over time) into the language model and issuing appropriate instructions, it can generate textual observations of experimental notes that link changes in the state of the reaction mixture to chemical reactions. For instance, the GPT-4 observations in this reaction system indicated that turbidity appeared around 370 seconds after reagent addition and progressed further between 400-2600 seconds. This description generally matched the observations made by humans. The reason for the turbidity, attributed to the formation of polyamic acid, was also proposed by GPT-4 in a chemically reasonable analysis. The quality of the generated texts was sufficient for inclusion in a standard experimental notebook.