I don’t get it. Let’s say that BB(748) is 10,000. (I realize the true number is somewhat larger, this is just an example that doesn’t change the argument.) That means there’s one or more Turing machines of that size which run for that many steps. All of the others either run for fewer, or never stop.
Running for fewer steps is extremely well defined and I don’t imagine that enters into this.
That means there’s issue is “never stop”? That also seems pretty well defined to me. For BB(748) to vary based on your model, if the machines that run for fewer steps don’t change, then that means one of the machines that never stops in one model will stop in another. Or the BB winner for our model will never stop in another model.
How can changing your model make it so a specific Turing machine goes from stopping after 10,000 steps to never stopping, or from never stopping to stopping after 11,000 steps?
