In this episode of The Attention Mechanism, hosts Justin Robert Young and Andrew Mayne delve into the evolving landscape of AI, focusing on the new O1 model from OpenAI. They discuss the transition from base models to instruction models, the significance of prompting techniques, and the implications of AI in coding and other fields. The conversation also touches on the potential of AI to revolutionize workflows, the challenges of evaluating AI performance, and the broader context of AI's role in society amidst speculation and hype.

Chapters

00:00 Introduction to the Attention Mechanism Podcast

03:16 Exploring o1

05:56 Understanding Instruction Models vs. Base Models

20:59 The AI Bubble: Hype vs. Reality

27:03 Meta Discussion: The Purpose of the Podcast

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