Like, it literally creates answers out of thin air then sells it as if it's correct. It doesn't even try to get it right. What sort of redundancy is there in analyzing if the answer is correct before spewing it out? I thought LLMs were supposed to discern what the best answer is given what was said to it based on its training, yet it'll give answers that don't exist based on any training. It's not like it learned the wrong answer from a Reddit post and just posted what Reddit said. It legit is making up wrong answers then citing correct answers. It just outright gets it wrong almost on purpose.
Anyone understand why LLMs fail so much?
I understand they run correlations but how does it determine a wrong answer is the most correlated to the correct response given the prompt instead of the actual correct answer...
That's a separate problem, although the "alignment" process does degrade the model's quality. What OP is describing is a result of the answer not existing in the training data or at all. AI is just an advanced pattern recognition tool. You're describing how they stop it from recognizing politically inconvenient patterns, which is separate from the pattern not existing in the training data in the first place.