Ok but I have to point out something important here. Presumably, the model you're talking about was trained on chemical/drug inputs. So it models a space of chemical interactions, which means insights could be plausible.

GPT-5 (and other LLMs) are by definition language models and though they will happily spew tokens about whatever you ask, they don't necessarily have the training data to properly encode the latent space of (e.g) drug interactions.

Confusing these two concepts could be deadly.