Dwarkesh Podcast

Dwarkesh Patel

China

Artificial Intelligence

Artificial General Intelligence

United States

Reinforcement Learning

Large Language Models

Machine Learning

World War II

Economic Growth

Xi Jinping

Mao Zedong

AI Alignment

Covid-19

Solar Energy

AI Research

Civil War

Automation

Ethics In AI

Great Leap Forward

ARC Benchmark

Deeply researched interviews www.dwarkesh.com

2.6k ratings

Publishes	Twice monthly	Episodes	126	Founded	6 years ago
Number of Listeners		Categories	ScienceTechnology

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Guests Host Reviews Charts Talking Points

Latest Episodes

Eric Jang – Building AlphaGo from scratch

Eric Jang walks through how to build AlphaGo from scratch, but with modern AI tools.

Sometimes you understand the future better by stepping backward. AlphaGo is still the cleanest worked example of the primitives of intelligence: search, learning fr... more

Yesterday • 2 hrs 37 min

David Reich – Why the Bronze Age was an inflection point in human evolution

David Reich is back.

He and collaborator Ali Akbari just published a paper that overturns a long-standing consensus about human evolution — that natural selection has been dormant in our species since the agricultural revolution.

By scaling ancient... more

8 May 2026 • 2 hrs 13 min

Reiner Pope – The math behind how LLMs are trained and served

Did a very different format with Reiner Pope - a blackboard lecture where he walks through how frontier LLMs are trained and served.

It’s shocking how much you can deduce about what the labs are doing from a handful of equations, public API prices, ... more

29 Apr 2026 • 2 hrs 13 min

Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat

I asked Jensen about TPU competition, Nvidia’s lock on the ever more bottlenecked supply chain needed to make advanced chips, whether we should be selling AI chips to China, why Nvidia doesn’t just become a hyperscaler, how it makes its investments, ... more

15 Apr 2026 • 1 hr 43 min

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Recent Guests

Michael Nielsen

Research fellow at the Astera Institute; author and open science advocate

Astera Institute

Episode: Michael Nielsen – How science actually progresses

Terence Tao

Mathematician, Professor (likely UCLA)

University (inference from Tao's profile)

Episode: Terence Tao – Kepler, Newton, and the true nature of mathematical discovery

Dylan Patel

CEO of SemiAnalysis

SemiAnalysis

Episode: Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI compute

Ada Palmer

Renaissance historian, novelist, and composer

University of Chicago / Author of Inventing the Renaissance

Episode: Why Leonardo was a saboteur, Gutenberg went broke, and Florence was weird – Ada Palmer

Richard Sutton

One of the founding fathers of reinforcement learning and inventor of many main techniques used in the field.

Episode: Richard Sutton – Father of RL thinks LLMs are a dead end

Arthur Kroeber

Founder of Gavekal Dragonomics; author of China's Economy, What Everybody Needs to Know

Gavekal Dragonomics

Episode: Why China's manufacturing economy is dominating — Arthur Kroeber

Sarah Paine

Academic expert focusing on military strategy and cultural influences of Japan.

Episode: Sarah Paine — Why Japan lost WWII (lecture & interview)

Tyler Cowen

Economist and author, known for his insights on economics and public policy.

Episode: Tyler Cowen — The #1 bottleneck to AI progress is humans

Gwern Branwen

Anonymous internet researcher and writer influential in the field of AI.

Episode: Gwern — Anonymous writer who predicted AI trajectory on $12K/year salary

Host

Dwarkesh Patel

Host and creator known for conducting deeply researched interviews with varied topics focusing on technology and science.

Reviews

4.7 out of 5 stars from 2.6k ratings

Mixed bag
Interesting guests and topics. Admire the hustle and sweat of Dwarkesh. Some good insights. But sometimes it’s tiring, pedantic and monotonous. And difficult to follow because of the minutia and cadence. But the biggest issue for me is D’s interview delivery. It’s so jumpy, fast and nervous it literally makes me jittery. It takes away from the content. Moderation is needed. I
Apple Podcasts
4
LadyMacbethsHands
United States17 days ago
Excellent Subject Matter five star BUT…
Unfortunately you speak Californian, too fast, inflection at the end of the sentence. Go to broadcasting school, or hire a speech coach.
Apple Podcasts
1
RaFa my dogs name
United States19 days ago
Talks too fast
Slow down. Remember that you have an audience who would like to hear what you have to say
Apple Podcasts
3
a speck of stardust
United States20 days ago
Skip Jensen Huang Episode
Normally the show is intellectually interesting even with disagreements but the entire 2 hrs is Huang calling every single thing out of Dwarkesh’s mouth stupid and illogical but then giving politician answers no real justifications. He sounds like a child and really takes away from any of his so called “expertise”.
Apple Podcasts
3
CuriousHuman3
United States24 days ago
Excellent!!!
Pure brain food for people seeking to understand the most impactful people, companies, and forces shaping the future of human science and technology (with an emphasis on AI). Dwarkesh interviews the “who’s who” of tech leaders, along with other noteworthy guests. He is very intelligent, well researched, and well prepared for these interviews, and the resulting podcast episodes are a great service to anyone who listens. Truly excellent. Thank you Dwarkesh. Keep up the good work!
Apple Podcasts
5
RG50132
United Statesa month ago

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Listeners Say

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

Some criticism involves pacing and conversational style, with suggestions for the host to slow down and practice patience in interviews.

Listeners praise the high quality of guests and in-depth conversations, highlighting the podcast as a valuable resource for staying informed on technology and AI developments.

The host's ability to engage with experts with thoughtful questions is frequently appreciated, though there are occasional calls for a more critical approach to controversial figures.

Listeners appreciate the blend of historical context and current technological discussions, showing a desire for a nuanced understanding of the topics tackled.

Chart Rankings

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

Spotify	#9	United States/Technology
Spotify	#123	United States/Trending
Apple Podcasts	#11	United States/Technology
Spotify	#9	United Kingdom/Technology
Spotify	#130	Canada/Trending
Apple Podcasts	#6	United Kingdom/Technology

Talking Points

Recent interactions between the hosts and their guests.

Reiner Pope – The math behind how LLMs are trained and served

Q: What is the practical latency impact of pipelining in inference?

In inference, pipelining does not change latency itself but reduces memory per rack and enables larger scale-up domains, which can lower effective bottlenecks without altering the raw per-token latency.

Reiner Pope – The math behind how LLMs are trained and served

Q: Is there a lower bound on latency due to memory bandwidth?

Yes, for a given hardware setup there is a latency floor set by the time required to read all the model parameters and related KV caches from memory, which you can't beat just by batching more tokens.

Reiner Pope – The math behind how LLMs are trained and served

Q: What is the dominant factor when you scale batch size for frontier models?

Batch size mainly shifts the balance between compute time and memory fetches; larger batches amortize memory costs and can dramatically reduce cost per token, but they also influence latency depending on the context length and hardware.

Michael Nielsen – How science actually progresses

Q: What is the role of open science in shaping the future of scientific discovery and careers?

Open science changes incentives and collaboration by valuing openly shared work, enabling broader verification and reuse, and creating a reputation economy that can accelerate or alter how researchers are recognized and funded.

Michael Nielsen – How science actually progresses

Q: Is AlphaFold a scientific explanation, or does it represent a different kind of explanatory object?

There are multiple paths: one view treats AlphaFold as a powerful predictive tool that may not be an explanation in the classic sense, while another view sees it as containing partial explanations and as a new kind of object whose interpretability could reveal underlying principles over time.

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?

This podcast features in-depth interviews with thought leaders and experts primarily in the fields of technology and science. The discussions often center around artificial intelligence, its implications for society, and the underlying principles governing its development and ethical considerations. The host skillfully navigates complex topics, ensuring that the audience gains valuable insights on trends, challenges, and the future of AI and related technologies. Unique aspects of this podcast include its emphasis on high-information-density content, diverse expert perspectives, and a drive for fostering critical discussions around pressing global issues such as geopolitics, history, and the ethical ramifications of technological advancemen... more

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Which podcasts are similar to Dwarkesh Podcast?

These podcasts share a similar audience with Dwarkesh Podcast:

1. No Priors: Artificial Intelligence | Technology | Startups
2. The a16z Show
3. Cheeky Pint
4. Conversations with Tyler
5. All-In with Chamath, Jason, Sacks & Friedberg

How many episodes of Dwarkesh Podcast are there?

Dwarkesh Podcast launched 6 years ago and published 126 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. Michael Nielsen
2. Terence Tao
3. Dylan Patel
4. Ada Palmer
5. Richard Sutton
6. Arthur Kroeber
7. Sarah Paine
8. Tyler Cowen

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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