A lot of that is because you need to have a lot more faith than "seems like a good idea" before you spend a few million in training that depends upon it.

Some of it is because when the models released now began training, a lot of those ideas hasn't been published yet.

Time will resolve most of that, cheaper and more performant hardware will allow a lot of those ideas to be tested without the massive commitment required to build the leading edge models.