The bigger problem is that the benchmarks / multiple-choice tests they are trained to optimize for don't distinguish between a wrong answer and "I don't know". Which is stupid and surprising. There was a thread here on HN about this recently.

That's not important compared to the post-training RL, which isn't "training data".