Updates callout in introduction chapter

Refactors the chapter connection callout in the introduction to improve navigation and better reflect upcoming content.
This change prepares for future links and clarifies the flow for the reader.

contents/core/introduction/introduction.qmd

@@ -31,11 +31,12 @@ We stand at a historic inflection point. Just as the Industrial Revolution requi
 
 The exploration of artificial intelligence's transformative impact across society presents a fundamental question: How can we create these intelligent capabilities? Understanding the relationship between AI and ML provides the theoretical and practical framework necessary to address this question.
 
-::: {.callout-chapter-connection title=""}
+::: {.callout-chapter-connection}
 → Ch 3.2: Classification algorithms in recommendation systems
-→ Ch 7.1: Neural networks in computer vision
-→ Ch 9.4: NLP applications in search engines
-→ Ch 12.3: Reinforcement learning in autonomous systems
+
+→ Ch \ref{sec-introduction-expert-systems-era-c061}: coming soon.
+
+↩ Ch 12.3: Reinforcement learning in autonomous systems
 :::
 
 Artificial Intelligence represents the systematic pursuit of understanding and replicating intelligent behavior—specifically, the capacity to learn, reason, and adapt to new situations. It encompasses fundamental questions about the nature of intelligence, knowledge, and learning. How do we recognize patterns? How do we learn from experience? How do we adapt our behavior based on new information? AI as a field explores these questions, drawing insights from cognitive science, psychology, neuroscience, and computer science.