Mid-training and post-training increasingly align models with the tasks they are expected to perform in the real world.

“Um, then there's mid-training and post-training, where increasingly models become aligned to the tasks that they will do in the real world. And if you show the models the tasks that are misaligned, um, for instance, that have these templates in it or synthetically generated but are not high quality, then the models, uh...”