So this is pretty neat: Some people decided to study the structure of the primes by treating the natural numbers as a stochastic process.
Here's the idea: You can think of the natural numbers as being a giant network, with composite numbers connected to their prime factors. You can use the ordering of the naturals to think of this as a graph that's
growing over time -- each number gets added in, one by one, connecting to all its prime factors if it has any, and getting labeled as "prime" if it doesn't.
What this paper does, is it gives a very simple and intuitive randomized algorithm for generating structures that look kind of like this graph. It turns out that the structures that are generated share a
lot of the large-scale structure of the primes! For example, they obey the Prime Number Theorem (
http://en.wikipedia.org/wiki/Prime_number_theorem), as well as a few other theorems about the distribution of primes.
From the article it seems like this is a pretty major step forward as far as probabilistic models of the primes go; it mentions a couple of issues (notably in modeling small-scale structure; the model assigns nonzero probability to consecutive primes, oops) but overall it sounds pretty awesome.