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In this episode, the hosts dive into the cutting-edge world of AI reasoning, exploring how new models like Open AI's Zero-One Deep and Seek-R1 differentiate themselves from familiar faces like GPT-4, AO, and Claude. They discuss the transition from basic instruction-following AIs to those capable of strategic thinking and internal logic. The podcast highlights the advantages and trade-offs of using advanced reasoning models, including the importance of chain of thought (COT) prompting. Emerging trends such as hybrid AI models, dynamic COT generation, and multi-agent AI collaboration are discussed, along with the ethical questions these technologies raise. The episode underlines the continuous need for learning and adaptation in the rapidly evolving AI landscape.

00:00 Introduction to AI Reasoning
00:55 Understanding Reasoning AI Models
01:44 Cost and Practicality of Reasoning Models
02:16 The Role of Chain of Thought Prompting
04:17 Advanced AI Training Techniques
06:15 Future Trends in AI Reasoning
08:04 Ethical Considerations and Conclusion

Deep Dive - The Evolution of AI Reasoning

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