Self-Play: Advances and Challenges in AI | 11min snip from "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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The Evolution of AI Agents: Lessons from 2024, with MultiOn CEO Div Garg

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Self-Play: Advances and Challenges in AI

This chapter examines the role of self-play in AI, particularly in game-based environments compared to real-world applications. It discusses the issues of reward optimization, especially the necessity for human feedback and robust performance metrics. The conversation highlights the evolution of AI architectures, focusing on Agent Q's capabilities, limitations, and the significance of application-specific optimization.

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In this episode of The Cognitive Revolution, Nathan welcomes back Div Garg, Co-Founder and CEO of MultiOn, for his third appearance to discuss the evolving landscape of AI agents. We explore how agent development has shifted from open-ended frameworks to intelligent workflows, MultiOn's unique approach to agent development, and their journey toward achieving human-level performance. Dive into fascinating insights about data collection strategies, model fine-tuning techniques, and the future of agent authentication. Join us for an in-depth conversation about why 2025 might be the breakthrough year for AI agents.

Check out MultiOn: https://www.multion.ai/

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CHAPTERS:

(00:00:00) Teaser

(00:00:40) About the Episode

(00:04:10) The Rise of AI Agents

(00:06:33) Open-Ended vs On-Rails

(00:10:00) Agent Architecture

(00:12:01) AI Learning & Feedback

(00:14:01) Data Collection (Part 1)

(00:18:27) Sponsors: Oracle Cloud Infrastructure (OCI) | SelectQuote

(00:20:51) Data Collection (Part 2)