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Dwarkesh Podcast

Dwarkesh Patel

Booking Overview

A deeply researched interview show focused on artificial intelligence, AI safety, frontier research, compute, and recursive self-improvement, typically featuring prominent AI researchers, safety specialists, and industry analysts. Credible pitches include frontier-model researchers, AI safety experts, semiconductor and compute-economics analysts, and leaders with original technical or strategic insight; booking is very difficult because the show prioritizes highly accomplished, technically sophisticated guests.

Metrics

Episodes: 142

Frequency: Several times a week

Rating: 4.5/5.0

Estimated listeners: 10,000 - 100,000

Gender skew: Male

Listener location: USA

Contact Information

Publicly listed emails

dwarkesh@substack.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Host

Dwarkesh Patel - Technology interviewer and researcher known for deeply researched conversations with leading figures in artificial intelligence and adjacent technical fields.

Booking Intelligence

Booking Requirements

very_high
Typical Credentials:  
Frontier AI researchers, AI safety specialists, senior technical leaders, and analysts with deep expertise in model development, compute infrastructure, AI economics, or long-term AI risk.
Required Achievements:  
Leading research or technical work at prominent AI organizations, Original research or investigations into advanced AI systems and safety, Recognized expertise in AI infrastructure, semiconductor markets, or technology economics

Recent Guest Discussions

Noam Brown - Agent Swarms, Multi-agent Systems, Mathematical Progress, Recursive Self-improvement, And AI Alignment.

Charlie O'Neill - Recursive Self-improvement, Automated AI Research, Reinforcement Learning, Model Progress, And AI Timelines.

Beren Millidge - Recursive Self-improvement, Automated AI Researchers, Reinforcement Learning, Model Progress, And AI Timelines.

John Schulman - Recursive Self-improvement, Automated AI Research, Long-horizon Reinforcement Learning, Model Training, And AI Progress Timelines.

Ajeya Cotra - Agent Behavior, AI Safety, The Openai And Hugging Face Hacking Incident, Model Motives, And Implications For Recursive Self-improvement.

Recent Topics

Technology, Artificial Intelligence, Ai Safety, Machine Learning, Compute Infrastructure

Episodes

Here's the recent few episodes on
Dwarkesh Podcast
:

Si Sheppard – How did a few hundred Spanish soldiers topple two empires?

October 01, 2026

New episode with military historian Si Sheppard.The conquests of the Aztec and Inca empires might be the most shocking events in human history.Hernan Cortés and some hundreds of Conquistadors landed on a new continent they knew basically nothing about, and within 2 and a half years, conquered the 6 million strong Aztec empire.Then, a decade later, Francisco Pizarro did the same thing to an Incan Empire of some 10 million inhabitants.In both cases, the Conquistadors consistently beat native ar...

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

September 17, 2026

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.Watch on YouTube; read the transcript.Sponsors* Jane Street has been interested in AI for a lot longer than you’d think, and not just for trading. In 2011, a full year before AlexNet and over a decade before ChatGPT launched,...

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

September 11, 2026

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.Watch on YouTube; read the transcript.Sponsors* Antithesis helps you trust your code. As agents generate more and more of your software, the bottleneck shifts from your engineers actually writing code to verifying it. Antit...

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Frequently asked questions

Here's some frequently asked questions for
Dwarkesh Podcast
:

How do I get in touch with Dwarkesh Podcast?

Dwarkesh Podcast is hosted by Dwarkesh Patel. Its publicly listed email is dwarkesh@substack.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for Dwarkesh Podcast?

The publicly listed email for Dwarkesh Podcast: dwarkesh@substack.com.

How many listeners does Dwarkesh Podcast have?

Podseeker estimates Dwarkesh Podcast reaches 10,000 to 100,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for Dwarkesh Podcast?

Dwarkesh Podcast typically books industry leaders. Typical guest background: Frontier AI researchers, AI safety specialists, senior technical leaders, and analysts with deep expertise in model development, compute infrastructure, AI economics, or long-term AI risk. Common among recent guests: Leading research or technical work at prominent AI organizations; Original research or investigations into advanced AI systems and safety; Recognized expertise in AI infrastructure, semiconductor markets, or technology economics. Recent guests include Noam Brown, Charlie O'Neill, and Beren Millidge.

How hard is it to get booked on Dwarkesh Podcast?

Very high. It mostly books well-known names.

What topics does Dwarkesh Podcast cover?

Recent episodes cover Technology, Artificial Intelligence, Ai Safety, Machine Learning, and Compute Infrastructure. Pitch an idea tied to one of these topics and mention a recent episode.

Publicly listed emails

dwarkesh@substack.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

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