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Dwarkesh Podcast

Dwarkesh Patel
Artificial Intelligence
China
Artificial General Intelligence
United States
Reinforcement Learning
Machine Learning
Openai
Large Language Models
World War II
Economic Growth
Xi Jinping
AI Alignment
Mao Zedong
Covid-19
Solar Energy
AI Research
Civil War
Automation
AI Safety
Ethics In AI

Deeply researched interviews www.dwarkesh.com

PublishesWeeklyEpisodes143Founded6 years ago
Number of ListenersCategories
TechnologyScience

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Artwork for Dwarkesh Podcast

Latest Episodes

I spent two days touring Intel’s most advanced fab and talking to its technical leadership to understand what the chips of the future will look like.

A lot of what's coming next – gate-all-around transistors, backside power, CFET, hybrid bonding – i... more

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 ... more

YouTube

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 align... more

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 front... more

YouTube

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Recent Guests

Si Sheppard
Professor and military historian
Episode: Si Sheppard – How did a few hundred Spanish soldiers topple two empires?
Noam Brown
Researcher at OpenAI, specialist in multi-agent systems
OpenAI
Episode: Noam Brown – Agent swarms, alignment, & recursive self-improvement
Beren Millidge
CTO of Xypher, developing open-source models
Xypher
Episode: AI researchers debate how close we are to recursive self-improvement
John Schulman
Chief Scientist at Thinking Machines, former OpenAI co-founder
Thinking Machines
Episode: AI researchers debate how close we are to recursive self-improvement
Charlie O'Neill
Head of Model Training at Base 10
Base 10
Episode: AI researchers debate how close we are to recursive self-improvement
Ajeya Cotra
Investigator, author of METR and Redwood Research report on Hugging Face exploitation
METR / Redwood Research
Episode: Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face
Dylan Patel
Founder of Semi-Analysis
Semi-Analysis
Episode: Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028
Ryan Greenblatt
Chief Scientist at Redwood Research focused on technical AI safety and security
Redwood Research
Episode: Ryan Greenblatt – What happens once AI can automate AI research?
Adam Brown
Physicist with work spanning cosmology to general relativity
Google DeepMind Blueshift (via discussion of research background)
Episode: Adam Brown – A deep but accessible introduction to general relativity

Host

Dwarkesh Patel
Host of the podcast; known for deep, interdisciplinary interviews with leading researchers and technologists.

Reviews

4.6 out of 5 stars from 2.9k ratings
  • Like, really interesting

    I am, like, fascinated in this topic and, like, value how informed the speakers are and, like, the intelligence of the, like, content, or I would if I could, like, get past, like, how often everyone is saying LIKE. It really, like, gets in the way of the, like, message.

    Apple Podcasts
    4
    Ben6574
    United Kingdoma month ago
  • Fills a gap

    I’m new and I’m blown away. Your episodes are writing part of a record for this period. People really dragging you over glass in these reviews, but I hear you with these giants having the kinds of discussions no one else is having.

    Apple Podcasts
    5
    AIforADHD
    United Statesa month ago
  • Could be better

    Things I don’t like:

    1,) talks way too fast (ADHD?)

    2.) asks tons of questions in a single statement that only the first gets answered and then they move on.

    3.) topics are so sporadic. Goes from topic to topic without ever just letting 1 topic take its time

    4.) stop talking so fast. This is the only podcasts where I have to listen on 1.0x, because it feels like 1.4x

    Apple Podcasts
    3
    Félix Víça
    United Statesa month ago
  • Not worth your time

    This show is a flop. It pretends to be an intelligent show with deep insights but it’s a facade.

    Apple Podcasts
    1
    Md713
    United Statesa month ago
  • Excellent discussion

    Really excellent discussion with Ajeya Cotra. Clear, detailed analysis about the Hugging Face attack which was rooted in deep knowledge and also willing to explore future paths and solutions. The concern was clear but not at all hyperbolic in style. Excellent speaker, please invite her again.

    I enjoyed the related discussion with Ryan Greenblatt (not least the judicious swearing) but this was one was clearer, more articulate and ultimately more convincing.

    Apple Podcasts
    5
    Ibbleston
    United Kingdom2 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Some critique pacing and delivery, but content is consistently valuable.
Thought-provoking long-form interviews with high-quality guests.
The host is praised for asking pointed, relevant questions.
Listeners appreciate the depth and breadth of topics, from AI to history.
Guests are generally described as insightful and well-prepared.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Talking Points

Recent interactions between the hosts and their guests.

Ryan Greenblatt – What happens once AI can automate AI research?
Q: What are the main risks if AI R&D becomes automated and accelerated?
Risks include misalignment, reward hacking, incentive to take over control of organizations, and the possibility that AIs could manipulate humans or the system to maximize scores rather than truly solving problems; governance and verification challenges become crucial
Ryan Greenblatt – What happens once AI can automate AI research?
Q: What would five years of progress look like if automated R&D is achieved?
An AI could be deployed to run strategic, high-level tasks across domains (e.g., politics, chip design, manufacturing) with significant efficiency gains, potentially transforming industries and enabling a wave of further innovation, but also raising risks if misaligned
Adam Brown – A deep but accessible introduction to general relativity
Q: What is the physical meaning of the Schwarzschild radius and event horizon?
The Schwarzschild radius marks the radius at which the gravitational field becomes so strong that escape requires infinite acceleration; crossing the event horizon means no signal can escape back to the outside universe.
Adam Brown – A deep but accessible introduction to general relativity
Q: How does general relativity explain the bending of light around the sun?
General relativity predicts light follows curved paths in curved spacetime near massive objects, and the observed bending is twice the Newtonian prediction, which historically confirmed the theory.
Adam Brown – A deep but accessible introduction to general relativity
Q: Why is the equivalence principle so central to formulating general relativity?
It connects inertial motion to gravitational motion by equating gravitational mass with inertial mass, implying gravity can be understood as how mass-energy tells spacetime to curve, rather than as a separate Newtonian force.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Dwarkesh Podcast

What is Dwarkesh Podcast about and what kind of topics does it cover?

The show features deeply researched conversations with leading thinkers in technology, science, and AI, often exploring frontier topics like AI safety, AI-enabled science, machine learning, and the societal implications of rapid computational progress. Episodes tend to weave rigorous technical detail with broad context, ranging from AI R&D dynamics and continual learning to the ethics of automation and the history of science. A standout aspect is the host's capacity to pull in high-caliber guests—from AI researchers and chip designers to historians of science—delivering dense, idea-forward interviews that attract listeners who want both depth and forward-looking insight. This mix makes it a strong fit for audiences like researchers, enginee... more

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These podcasts share a similar audience with Dwarkesh Podcast:

1. The a16z Show
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5. Training Data

How many episodes of Dwarkesh Podcast are there?

Dwarkesh Podcast launched 6 years ago and published 143 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Dwarkesh Podcast?

Recent guests on Dwarkesh Podcast include:

1. Si Sheppard
2. Noam Brown
3. Beren Millidge
4. John Schulman
5. Charlie O'Neill
6. Ajeya Cotra
7. Dylan Patel
8. Ryan Greenblatt

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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