small rephrase

Author: basnijholt

README.rst

@@ -11,13 +11,12 @@
 ``adaptive`` is an open-source Python library designed to
 make adaptive parallel function evaluation simple. With ``adaptive`` you
 just supply a function with its bounds, and it will be evaluated at the
-“best” points in parameter space, rather than unecessarily computing *all* points. 
-With just a few lines of code you can evaluate functions on a computing cluster, 
+“best” points in parameter space, rather than unecessarily computing *all* points on a dense grid.
+With just a few lines of code you can evaluate functions on a computing cluster,
 live-plot the data as it returns, and fine-tune the adaptive sampling algorithm.
 
 ``adaptive`` shines on computations where each evaluation of the function
-takes *at least* ≈100ms. Other approaches for parallisation should be chosen for 
-function calls that are faster than this.
+takes *at least* ≈100ms due to the overhead of picking potentially interesting points.
 
 Run the ``adaptive`` example notebook `live on
 Binder <https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=example-notebook.ipynb>`_