As the comments to that page mention, though, it's not a representation of the central limit theorem at all. It shows how a binomial distribution "becomes" a normal distribution in the long run, but it doesn't show why this would apply to the distribution of errors of a series of sample means.
I have fond childhood memories of the "Mathematica" exhibit at the Museum of Science in Boston, where there was a large physical copy of one of these machines.