diff --git a/_posts/2024-1-16-seminar.md b/_posts/2024-1-16-seminar.md
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--- a/_posts/2024-1-16-seminar.md
+++ b/_posts/2024-1-16-seminar.md
@@ -28,7 +28,7 @@ Discover the realm of Large Language Models (LLMs) and their burgeoning applicat
 Students should have experience with machine learning, data analytics, and deep learning. Strong programming skills in a high-level language such as Python, as well as frameworks for rapid ML prototyping, e.g., PyTorch, Tensorflow, Keras, etc. are essential for implementing and experimenting with the concepts covered in this course. While not mandatory, familiarity with natural language processing would be advantageous.
 
 ## Course Format
-The course is a role-playing paper reading seminar that is structured around reading, presenting, and discussing weekly papers. Each class will involve the presentation and discussion of two papers. Each student will have a unique, rotating role per week. This role defines the lens through which each student reads the paper and determines what they prepare for the group in-class discussion. All students, irrespective of their role, are expected to have read the paper readings of each corresponding session before class and come to class ready to discuss. There will be no exams or traditional assignments. Instead, throughout the course, students will engage in practical hands-on projects and discussions to identify and work on open research questions on a variety of topics in embodied AI.
+The course is a [role-playing paper reading seminar](https://colinraffel.com/blog/role-playing-seminar.html) that is structured around reading, presenting, and discussing weekly papers. Each class will involve the presentation and discussion of two papers. Each student will have a unique, rotating role per week. This role defines the lens through which each student reads the paper and determines what they prepare for the group in-class discussion. All students, irrespective of their role, are expected to have read the paper readings of each corresponding session before class and come to class ready to discuss. There will be no exams or traditional assignments. Instead, throughout the course, students will engage in practical hands-on projects and discussions to identify and work on open research questions on a variety of topics in embodied AI.
 
 ### Presentation Roles
 This seminar is organized around the different “roles” students play each week, that define the lens through which students read the paper. Students will be divided into two groups, one group presenting on Tuesdays and the other on Thursdays. In a given class session, students in the presenting groups will each be given a rotating role (described below): Presenter (two students), Reviewer, Archaeologist, Researcher, Industry Expert, and Blogger OR Hacker (pick one). Presenting groups should create a formal presentation, i.e., have slides prepared for the group in-class discussion. For each student in a presenting group, their assigned role determines what they should include in the slides. The Hacker and Blogger roles are the only exceptions to the rule. Hackers should provide a Jupyter Notebook instead of slides and Bloggers go over their written articles.