The difference in evaluation may be largely attributed to variations in observation conditions. Humans can observe the solution from various angles during experiments, allowing for a more accurate estimation of turbidity. In contrast, due to the limitations of the robotic system, GPT-4 can only capture images from directly above, making it difficult to accurately assess factors such as light transmission. A system that can observe samples from multiple angles, similar to the movement of a human neck and head, might be necessary. Attention should be given to accurately measuring turbidity in situ during a reaction, which is not necessarily straightforward with traditional methods . The most common approach for measuring turbidity involves observing the state of scattering against laser light . While light scattering methods show sufficient quantification and reproducibility under strict measurement conditions, their suitability for liquids undergoing stirring and chemical reactions is limited. This limitation arises because stirring can cause convection, an additional factor in light scattering, and chemical reactions may proceed while measurement conditions are being adjusted. Moreover, meticulous calibration and stringent environmental settings are required to accommodate light sources and ambient light changes. Such stringent setups solely to observe the state of a solution in routine experiments are too costly and, hence, not widespread in everyday experiments.