diff --git a/the_seventy_maxims_of_maximally_effective_machine_learning_engineers.myco b/the_seventy_maxims_of_maximally_effective_machine_learning_engineers.myco
index d1ab165..78797e9 100644
--- a/the_seventy_maxims_of_maximally_effective_machine_learning_engineers.myco
+++ b/the_seventy_maxims_of_maximally_effective_machine_learning_engineers.myco
@@ -21,7 +21,7 @@ Based on [[https://schlockmercenary.fandom.com/wiki/The_Seventy_Maxims_of_Maxima
 *. The field advances when you turn competitors into collaborators, but that’s not the same as your h-index advancing.
 *. If you’re not willing to prune your own layers, you’re not willing to deploy.
 *. Give a model a labeled dataset, and it trains for a day. Take its labels away and call it “self-supervised” and it’ll generate new ones for you to validate tomorrow.
-*. If you’re manually labeling data, somebody’s done something wrong.
+*. If you’re manually labeling data, somebody’s done something wrong. Conversely, if you're not manually reading data, something's going to go wrong.
 *. Memory-bound and compute-bound should be easier to tell apart.
 *. Any sufficiently advanced algorithm is indistinguishable from a matrix multiplication.
 *. If your kernel obeys the hardware manufacturer's documentation, you didn't do enough optimization.