> Consider plato's cave. How do scientists determine what causes the shadows? They build vases, puppets, etc. and compare-and-contrast then eliminate the ones t

> Consider plato's cave. How do scientists determine what causes the shadows? They build vases, puppets, etc. and compare-and-contrast then eliminate the ones they've created which do not match I feel like here you're limiting yourself to a LLM as an isolated thing. But if you start to explore agents for example. You could have LLMs build vases, puppets, etc., then compare and contrast, and then eliminate the ones they've created which do not match. So the potential isn't just that the LLM straight up gives you some prediction of the problem. But as it can emulate human processes to human accuracy, such as identifying which vase does and doesn't match, and how to go about creating a variety of vases, etc. Well you might very be able to use it for what you're describing as "proper scientific inquiry".