diff --git a/README.md b/README.md
index 085e7a5..9e313dc 100644
--- a/README.md
+++ b/README.md
@@ -14,13 +14,13 @@ Introductory text for Kalman and Bayesian filters. All code is written in Python
 
 The book is written as a collection of Jupyter Notebooks, an interactive, browser based system that allows you to combine text, Python, and math into your browser. There are multiple ways to read these online, listed below.
 
-### Github
+### GitHub
 
-Github is able to render the notebooks directly. The quickest way to view a notebook is to just click on them above. Chapters names are prefaced with numbers to indicate their order 01_gh_filter.ipynb, and so on. Rendering may be a bit slow or imperfect.
+GitHub is able to render the notebooks directly. The quickest way to view a notebook is to just click on them above. Chapters names are prefaced with numbers to indicate their order 01_gh_filter.ipynb, and so on. Rendering may be a bit slow or imperfect.
 
 ### binder
 
-I am experimentally trying a new service, binder. binder serves interactive notebooks online, so you can run the code and change the code within your browser without downloading the book or installing Jupyter. I have not experimented with it much, and currently it only supports Python 2, not 3. I develop in 3, so you may find incompatibilities. Please raise an issue on my GitHub page if anything fails. I'm not officially supporting this as it is in beta, but I'm quite excited about the possibilities.
+I am experimentally trying a new service, binder. binder serves interactive notebooks online, so you can run the code and change the code within your browser without downloading the book or installing Jupyter. I have not experimented with it much. I'm not sure, but I think anyone can edit and save the notebooks. If so, PLEASE do not be destructive; if you make a mistake and save something you shouldn't have just email me and I can easily restore it. Please raise an issue on my GitHub page if anything fails. I'm not officially supporting this as it is in beta, but I'm quite excited about the possibilities.
 
 [![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/rlabbe/Kalman-and-Bayesian-Filters-in-Python)