  In this note we present a construction which improves the best known bound on
the minimal dispersion of large volume boxes in the unit cube. Let $d>1$. The
dispersion of $T \subset [0,1]^d$ is defined as the supremum of the volume
taken over all axis parallel boxes in the cube which do not intersect $T$. The
minimal dispersion of $n$ points in the cube is defined as the infimum of the
dispersion taken over all $T$ such that $|T| = n$. Define the "large volume"
regime as the class of all volumes $\frac{1}{4} < r \leq \frac{1}{2}$. The
inverse of the minimal dispersion is denoted as $N(r,d)$. When the volume is
large, the best known upper bound on $N(r,d)$ is of the order $ {(r -
\frac{1}{4})}^{-1}.$ The construction presented in this note yields an upper
bound given by $$N(r,d) \leq \left \lfloor \frac{\pi}{\sqrt{r - \frac{1}{4}}}
\right \rfloor - 3 .$$ Some of our intermediate estimates are sharp given the
condition that $d \geq C_{r}$, where $C_r$ is a positive constant which depends
only on the volume $r$.
