Summary

In this episode of the AI Applied Podcast, hosts Jaeden and Conor discuss the emerging AI model DeepSeek, developed by a Chinese company under significant restrictions. They explore its cost-effective development, performance compared to other models like GPT-4, and the ethical implications of its use, particularly regarding censorship and data sourcing. The conversation highlights the innovative approaches taken by DeepSeek in the face of challenges and the potential impact on the AI landscape.

Chapters

00:00 Introduction to DeepSeek and Its Significance

02:52 DeepSeek's Development and Cost Efficiency

06:08 Performance Comparison with Other AI Models

09:09 Censorship and Ethical Considerations in AI

11:16 Conclusion and Final Thoughts on DeepSeek

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