Tanner and Hunter discuss the newly released OpenAI O1 model, focusing on its multi-step reasoning capabilities and implications for software engineering. They explore the evolution of AI models, the importance of prompt engineering, and how AI can bridge knowledge gaps for non-technical users. The discussion also touches on the future of software engineering, the shift towards task-specific AI models, and the impact of AI on job markets, emphasizing the need for engineers to adapt to changing demands in the industry.Takeaways:  •  OpenAI's O1 model introduces multi-step reasoning capabilities.  •  Prompt engineering is crucial for effective AI interaction.  •  AI can help bridge knowledge gaps for non-technical users.  •  The future of software engineering will require new skills.  •  Task-specific AI models are becoming more prevalent.  •  AI's impact on job markets is significant and evolving.  •  Software engineers need to adapt to changing industry demands.  •  AI can enhance productivity but may disrupt traditional roles.  •  The evolution of AI models is rapid and transformative.  •  Understanding AI's limitations is essential for effective use.Chapters:00:01 - Introduction and Overview of O100:53 - Opinions and Initial Reactions04:38 - Limitations and Potential Misuse08:23 - Changes in Interacting with AI09:21 - Nuance in AI and the Future12:58 - Cost Considerations and Control14:27 - Concerns on Transparency20:24 - AI's Reinforcement Learning and Contextual Understanding25:47 - AI's Role in Rapid Technological Evolution27:40 - AI's Impact on Expectations and Entitlement31:38 - Impact of AI on Job Security33:09 - Fear and Change in Software Engineering35:11 - The Changing Role of Junior Engineers36:32 - The Disappearing Moat of Technical Knowledge38:33 - Closing Thoughts and Listener Engagement

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