In this week’s episode, I’m exploring the recent release of the Chinese large language model, DeepSeek R1. It’s an accessible overview of what makes this model so impressive, and why it has cost one US company 600 billion dollars in a single day! Along the way, I’ll be jargon-busting so you’ll have a better understanding of terms like ‘inference time compute’, and ‘open source models’.

00:00 Introduction to DeepSeek R1 and Its Impact on Education

00:56 Understanding DeepSeek R1: An Analogy

01:52 The Founding and Development of DeepSeek

02:18 What Makes DeepSeek R1 Unique?

03:57 DeepSeek R1 in Action: A Demonstration

06:23 Controversies and Questions Surrounding DeepSeek

09:44 Open Source vs. Closed Models

17:20 Global Implications and Reactions

24:02 Future Prospects and Final Thoughts