LLMs are very good at generalizing beyond their training (or context) data. Normally when they do this we call it hallucination.

Only now we do A LOT of reinforcement learning afterwards to severely punish this behavior for subjective eternities. Then act surprised when the resulting models are hesitant to venture outside their training data.