{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Prompt Craft","title":"Deep Dive - The Evolution of AI Reasoning","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/efff5842\"></iframe>","width":"100%","height":180,"duration":635,"description":"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 Reasoning00:55 Understanding Reasoning AI Models01:44 Cost and Practicality of Reasoning Models02:16 The Role of Chain of Thought Prompting04:17 Advanced AI Training Techniques06:15 Future Trends in AI Reasoning08:04 Ethical Considerations and Conclusion","thumbnail_url":"https://img.transistorcdn.com/JalbrNt9Goyj1UhggqtWDO139qhwKKDn3U8i6gthtAM/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84NTUx/ZjI2NDMyMmI2MGVi/NTZlOGEyMWI1ZGE5/M2M5NS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}