Could anyone share their opinion on what insights could be gain from this Dyanmic HMC from Mulivariate Gaussian animation by @betanalpha? I am adding some questions but I look forward to any general comments.
 Is this algorithm NUTS? If so, which algorithm (1 to 6 from this paper) would it be?
From the animation, the number of steps change, which could be observed in NUTS. Also it runs forwards and backwards.

How are the new initial points selected at every iteration (in 19s and 28s)?

any possible explanation on how underlying distribution is affecting the sampling results? For example, balanced direction changes due to symmetry in gaussian.