{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/66df653c6a4ad6e33d692556/67170af9e16fb75ed531b2c6?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Reasoning with Apple's Reasoning Paper","description":"<p>Justin Robert Young and Andrew Mayne delve into the implications of Apple's Intelligence update and the broader landscape of AI development. They discuss the complexities of AI reasoning, the limitations of current models, and the ongoing debates surrounding artificial general intelligence (AGI). The conversation also touches on the challenges of overfitting in AI, the importance of niche solutions in the startup ecosystem, and the potential for AI to enhance various business processes. They conclude with insights into the revenue dynamics of leading AI companies and the future outlook for AI applications.</p><p><br></p><p>Chapters</p><p><br></p><p>00:00 Introduction to AI and Apple's Intelligence Update</p><p>06:09 The Debate on AI's Reasoning Capabilities</p><p>09:09 Overfitting in AI Models Explained</p><p>12:16 Testing AI Models with Distractors</p><p>21:19 Challenges for AI Startups</p><p>34:57 The Future of AI APIs and Revenue Models</p><p><br></p><p><br></p>","author_name":"Dog and Pony Show Audio Productions "}