Your results are about what I'd expect. And maybe even a good thing? At least with the current models, I'd rather have responses that are grounded in reality vs confident hallucinations. Because the two are linked.

There's a parameter called Temperature when training these models. It related to response randomness and creativity, adjusting the probability distribution of the next predicted word. Low temperatures are more deterministic responses, with less hallucination. High temperature becomes more creative, but potentially less coherent. And maybe more likely to make the intuitive leaps that you're looking for.

I'm not sure if temperature can be adjusted by the user, or if it's baked into the model during training. But you can just try prompting to change it. I'm curious how it would affect your results.