Dwarkesh Podcast

Noam Brown – Agent swarms, alignment, & recursive self-improvement

New episode with Noam Brown. We talk about multi-agent, Navier-Stokes, and what the current explosion of maths progress tells us about what happens once you automate AI research. And we also discuss how we will know if the models are actually aligned before we kick off RSI.

AI researchers debate how close we are to recursive self-improvement

New episode with John Schulman, Beren Millidge and Charlie O’Neill. I got together with some of the most insightful AI researchers I know who are at the openish companies, because I wanted to hear the details of what's actually happening at the frontier and what comes next.

Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face

Ajeya Cotra is a researcher at METR, where she works on threat modeling for loss-of-control risks from advanced AI. Before that, she led the technical AI safety program at what is now Coefficient Giving.

The rise and fall of agent civilizations

This is a video recording of a post I wrote last week. You can read the original here.

Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028

Had a lot of fun chatting again with my twin brother Dylan Patel.

Ryan Greenblatt – What happens once AI can automate AI research?

Ryan Greenblatt is the Chief Scientist at Redwood Research, where he works on technical AI safety research. He's also lead author on the "Alignment faking in Large Language Models", and is currently working on a third party investigation into the OpenAI/HuggingFace incident.

8 Predictions for the Era of Continual Learning

Why smarter AI models could drive up compute prices 10x

This is a video recording of a post I wrote last week.

Adam Brown – A deep but accessible introduction to general relativity

Adam Brown is back! General relativity is said to be the most beautiful idea the human mind has ever produced. Most of us will never get to fully appreciate its elegance by taking the 20-lecture graduate course Adam taught on it at Stanford.

Grant Sanderson – AI and the future of math

Always so much fun to chat with Grant. AI has been making much faster progress in math than in other fields. As a result, mathematics is showing us, very concretely, what AI progress in other fields will look like. Even within mathematics, there’s a jagged landscape. What does it look like?