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This podcast explores the growing impact of Agent AI and discusses the potential of CodeGen and MultiOn, as well as Darmesh Shah's definition of agent AI. It delves into the concept of agent AI and its difference from chat-based AI, emphasizing their importance in organizational roles. The podcast also discusses the limitations of chat-based user experience and introduces the emergence of agent AI as a sub-category of AI.
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Podcast summary created with Snipd AI

Quick takeaways

  • Agent AI focuses on pursuing specific goals by decomposing them into actionable tasks, with the potential for efficient collaboration between human and agent teams.
  • Agent AI is software that uses artificial intelligence to pursue specific goals, allowing for asynchronous user experiences and proactive information outreach.

Deep dives

The Rise of Agents AI

The podcast episode discusses the rise of Agent AI and its significance. It explores the concept of GPTs (custom versions of chat GPT) as a first step towards an Agent-powered future. The episode highlights the emergence of Agent-focused startups, such as CodeGen, which uses AI Agents to automate software engineering tasks. It also mentions MultiOn, a startup building a general-purpose web AI agent that can perform tasks faster than humans. The discussion emphasizes the shift from AI being our co-pilot to us being AI's co-pilot, where AI Agents pursue specific goals by decomposing them into actionable tasks. The potential and perils of agent AI are explored, including the possibility of a mix of human and agent teams achieving goals more efficiently.

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