Since the middle of the twentieth century, the traditional picture of entropy as a measure of disorder has shifted. However, this development is not well known outside the Statistical Mechanics community. In my talk, I will discuss examples where entropy increases with increasing order, I will briefly touch on Gibbs’ paradox and I will discuss how recently developed numerical tools allow us to compute close and distant relatives of Boltzmann’s entropy.
