It's nice that you feel that way, but reality is at odds with your sentiment. Even if the LLM is trained on completely 100% factual human-checked data, its mechanism is still predicting the next word, and what it is not is a mechanism designed to return only factual data. There is no such thing as an infallible LLM, no matter the model or how it was trained.
Sure, some may return results that are sometimes more true than others, but a broken clock is also right twice a day. The more broken clocks you have, the more chance there is that one of them is correct.
Sure, some may return results that are sometimes more true than others, but a broken clock is also right twice a day. The more broken clocks you have, the more chance there is that one of them is correct.