Ryan Greenblatt – Human level AIs might build runaway superintelligences by 2032
This episode explores the plausibility and risks of recursive self-improvement in AI, focusing on whether automating AI research and development (AI R&D) could lead to rapid, uncontrollable progress toward artificial superintelligence (ASI). Ryan Greenblatt argues that while verifiable ta
Sign up to read the full summary
Free AI-powered recaps of every episode, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.
Guest
Ryan Greenblatt
conversational on Dwarkesh Podcast
Mentions
Books, people, and resources mentioned in this episode.
People
Companies
Products & Tools
Topics
Listen to This Episode
More from Dwarkesh Podcast
AI researchers debate how close we are to recursive self-improvement
The rise and fall of agent civilizations
The next big breakthrough will be AIs learning on the job
8 Predictions for the Era of Continual Learning
Alex Imas and Phil Trammell – What remains scarce after AGI?
Grant Sanderson – AI and the future of math
Related episodes
From other shows on similar topics.
#2551 - Daniel Kokotajlo
The Joe Rogan Experience
What the OpenAI-Hugging Face Hack Really Tells Us About AI Danger
Odd Lots
AI Whistleblower: OpenAI Scandal, AI Cults, Neuralink & Our Last Chance to Stop the Tech Oligarchs
The Tucker Carlson Show
AI DEBATE: What Will the World Actually Look Like in 2040? - #1138
Modern Wisdom
A.I. Is Outsmarting Its Creators
The Daily
OpenAI Whistleblower FINALLY Speaks: “AI Has A 70% Chance Of Going Horribly Wrong!“
The Diary Of A CEO with Steven Bartlett
Get summaries like this every morning.
Free AI-powered recaps of Dwarkesh Podcast and your other favorite podcasts, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.