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Reasoning with Apple's Reasoning Paper

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Manage episode 456467078 series 3625975
Content provided by Dog and Pony Show Audio Productions and Pony Show Audio Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dog and Pony Show Audio Productions and Pony Show Audio Productions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.


Chapters


00:00 Introduction to AI and Apple's Intelligence Update

06:09 The Debate on AI's Reasoning Capabilities

09:09 Overfitting in AI Models Explained

12:16 Testing AI Models with Distractors

21:19 Challenges for AI Startups

34:57 The Future of AI APIs and Revenue Models



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

30 episodes

Artwork
iconShare
 
Manage episode 456467078 series 3625975
Content provided by Dog and Pony Show Audio Productions and Pony Show Audio Productions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dog and Pony Show Audio Productions and Pony Show Audio Productions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.


Chapters


00:00 Introduction to AI and Apple's Intelligence Update

06:09 The Debate on AI's Reasoning Capabilities

09:09 Overfitting in AI Models Explained

12:16 Testing AI Models with Distractors

21:19 Challenges for AI Startups

34:57 The Future of AI APIs and Revenue Models



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

30 episodes

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