diff --git a/4 Qualifying Exam/2 Writing/3. QE Research Approach.md b/4 Qualifying Exam/2 Writing/3. QE Research Approach.md
index 85f72d87..10d10aa3 100644
--- a/4 Qualifying Exam/2 Writing/3. QE Research Approach.md	
+++ b/4 Qualifying Exam/2 Writing/3. QE Research Approach.md	
@@ -38,4 +38,6 @@ Something to justify, why diffusion model as opposed to other generative AI
 15. But if we destroy the input how can we do this?
 16. Well we train a neural network as a denoiser.
 17. Because the diffusion model forward steps are small and gaussian, we can know the reverse step is also a gaussian distribution. 
-18. So for our neural network, what we're trying to learn is the mean and standard deviation of the reverse steps for a given timestep. 
\ No newline at end of file
+18. So for our neural network, what we're trying to learn is the mean and standard deviation of the reverse steps for a given timestep. 
+
+## Writin some stuff