Is optimally solving the n×n×n Rubik's Cube NP-hard?
A new paper by Demaine, Demaine, Eisenstat, Lubiw, and Winslow makes partial progress on this question---it gives a polynomial-time algorithm for optimally solving $n \times O(1) \times O(1)$ cubes, and shows $\mathsf{NP}$-hardness for optimally solving what you might call "partially-colored" cubes.
It also shows that the $n \times n \times n$ cube's configuration space has diameter $\Theta(n^2/\log n)$.

Sweet!

One possible next question that their work seems to suggest: is there a fixed family of partially-colored $n \times n \times n$ cubes, one for each value of $n$, such that optimally solving from a given configuration is $\mathsf{NP}$-hard?