diff --git a/README.md b/README.md
index 05e3856..7ff7e46 100644
--- a/README.md
+++ b/README.md
@@ -9,7 +9,7 @@ For HT 2024 we will continue with the format where we stick to papers on the sam
 * We meet Wednesdays 10:15-12:00 on odd weeks.
 * We will meet in Thomas Bayes, B-building ([map](https://www.ida.liu.se/department/location/search.en.shtml?keyword=thomas+bayes)).
 
-## Host intstructions
+## Host instructions
 * Choose one paper for each session related to your topic that you think would be interesting to discuss in the reading group. In order to set a focus for the reading group we came up with the following short guidelines for how to choose papers:
   * The main topic of the paper should be core machine learning research. Try to avoid papers that just apply well known machine learning methods to specific application areas.
   * Make sure the paper is of high quality. Read through it yourself and try to gauge its quality. As a guideline, think that it should be publishable at a top machine learning conference (i.e. the paper should be of such quality, it does not have to actually be a short conference paper).