diff --git a/6-consumer/lessons/2-language-understanding/README.md b/6-consumer/lessons/2-language-understanding/README.md
index fc3919aa..aeec6453 100644
--- a/6-consumer/lessons/2-language-understanding/README.md
+++ b/6-consumer/lessons/2-language-understanding/README.md
@@ -29,10 +29,10 @@ Humans have used language to communicate for hundreds of thousands of years. We
 
 ✅ Think about some of the conversations you have had recently. How much of the conversation would be hard for a computer to understand because it needs context?
 
-Computers, despite all their advances, still have along way to go. When we refer to language understanding with computers, we don't mean anything anywhere near as advanced as human communication, instead we mean taking some words and extracting key details.
-
 Language understanding, also called natural-language understanding is part of a field of artificial intelligence called natural-language processing (or NLP), and deals with reading comprehension, trying to understand the details of words or sentences. If you use a voice assistant such as Alexa or Siri, you have used language understanding services. These are the behind-the-scenes AI services that convert "Alexa, play the latest album by Taylor Swift" into my daughter dancing around the living room to her favorite tunes.
 
+> 💁 Computers, despite all their advances, still have a long way to go to truly understand text. When we refer to language understanding with computers, we don't mean anything anywhere near as advanced as human communication, instead we mean taking some words and extracting key details.
+
 As humans, we understand language without really thinking about it. If I asked another human to "play the latest album by Taylor Swift" then they would instinctively know what I meant. For a computer, this is harder. It would have to take the words, converted from speech to text, and work out the following pieces of information:
 
 * Music needs to be played