Rephase when to use

Author: basnijholt

README.md

@@ -34,7 +34,7 @@ jupytext:
 `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 unnecessarily 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 due to the overhead of picking potentially interesting points.
+`adaptive` excels on computations where each function evaluation takes *at least* ≈50ms 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) to see examples of how to use `adaptive` or visit the [tutorial on Read the Docs](https://adaptive.readthedocs.io/en/latest/tutorial/tutorial.html).