suggesting. Um I will say that that's complicated. And I actually think I don't have the time to answer that particular question. I will give like my simplified view on this. And it the answer is I actually don't think that pre-training is the problem. I think pre-training is uh phenomenal. Like the fact that we compress the knowledge of the internet into like this core of intelligence that then can be utilized is incredible. And the pre-trained models are incredibly intelligent. Uh and I believe that the problem is like how we unearth it. And hallucination [clears throat] to me is intrinsic to um optimizing for human preference. Like there's an asymmetry in the reward model kind of like a GANs have. Oh, I really should not get This is a very advanced topic. But there's an asymmetry in the reward model like what GANs have that allow for um that encourage the models to drop modes and be confident because it's very easy to see when the model is not confident and to punish that from a reward model perspective. It's very complicated, but