The premise is kind of you have a  a good person look at this for a few weeks and what do you come up with ?
Mm - hmm. Mm - hmm.
And uh
And Hynek , when I wa told him about this , he had an interesting point , and that was th um  the  the final models that they end up training up have I think probably something on the order of six Gaussians per state. So they 're fairly , you know , hefty models. And Hynek was saying that well , probably in a real application ,  you wouldn't have enough compute to handle models that are very big or complicated. So in fact what we may want are simpler models.