Exploring Self-Play and Intelligence Explosion in AI

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The chapter discusses the potential for an intelligence explosion through AI systems learning from self-play, recursively improving their capabilities. It touches on challenges in creating new signals for AI tasks, setting up reinforcement learning sandboxes, and the importance of human input to bootstrap AI systems. The conversation also explores the concepts of human curiosity, using perplexity in AI, the critical role of compute power in AGI systems, and the need for regulations in AI technologies.

Arvind Srinivas is CEO of Perplexity, a company that aims to revolutionize how we humans find answers to questions on the Internet. Please support this podcast by checking out our sponsors:
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Transcript: https://lexfridman.com/aravind-srinivas-transcript

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Aravind’s X: https://x.com/AravSrinivas
Perplexity: https://perplexity.ai/
Perplexity’s X: https://x.com/perplexity_ai

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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(10:52) – How Perplexity works
(18:48) – How Google works
(41:16) – Larry Page and Sergey Brin
(55:50) – Jeff Bezos
(59:18) – Elon Musk
(1:01:36) – Jensen Huang
(1:04:53) – Mark Zuckerberg
(1:06:21) – Yann LeCun
(1:13:07) – Breakthroughs in AI
(1:29:05) – Curiosity
(1:35:22) – $1 trillion dollar question
(1:50:13) – Perplexity origin story
(2:05:25) – RAG
(2:27:43) – 1 million H100 GPUs
(2:30:15) – Advice for startups
(2:42:52) – Future of search
(3:00:29) – Future of AI