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Y Combinator Startup Podcast

How To Build The AGI Future: Bob McGrew

Jan 31, 2025
Bob McGrew, former Chief Research Officer at OpenAI, shares invaluable insights on the path to Artificial General Intelligence (AGI). He discusses the essential role of reasoning and compute in creating reliable AI agents. McGrew dives into the scaling challenges and innovations at OpenAI, highlighting teamwork's importance. He reflects on the future of work in an automated landscape and the need for kids to learn coding hands-on. This episode is packed with wisdom on navigating technology's impact on jobs and parenting in our evolving world.
30:44

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Bob McGrew emphasizes that reliable reasoning and test-time compute are critical factors for developing more capable and autonomous AI agents.
  • The conversation highlights the potential job transformation due to AI, where roles may evolve towards creativity and management rather than mere task automation.

Deep dives

The Realization of AGI

AGI is often perceived as a model capable of passing the Turing test by interacting with users and performing complex tasks like coding and drawing. However, despite the advancements, the anticipated job loss and societal collapse have not occurred, suggesting a slower adoption of AI technologies than expected. The podcast suggests that the bottleneck in achieving AGI lies in the current stage of pre-training and requiring reliable reasoning capabilities. Recent developments in reasoning and test-time compute may pave the way for agents that can act autonomously on behalf of users, which has always been a goal but now appears more achievable.

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