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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
Great Leap Forward
Ethics In AI
ARC Benchmark

Deeply researched interviews www.dwarkesh.com

PublishesTwice monthlyEpisodes123Founded6 years ago
Number of ListenersCategories
ScienceTechnology

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Artwork for Dwarkesh Podcast

Latest Episodes

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

Really enjoyed chatting with Michael Nielsen about how we recognize scientific progress.

It's especially relevant for closing the RL verification loop for scientific discovery.

But it's also a surprisingly mysterious and elusive question when you l... more

We begin the episode with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion.

People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loop... more

Dylan Patel, founder of SemiAnalysis, provides a deep dive into the 3 big bottlenecks to scaling AI compute: logic, memory, and power.

And walks through the economics of labs, hyperscalers, foundries, and fab equipment manufacturers.

Learned a ton ... more

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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 2.5k ratings
  • No Morals

    I can’t in good conscious support anyone who platforms Elon Musk or other horribly out of touch billionaires wreaking havoc on society and the planet.

    Apple Podcasts
    1
    Skyskape
    United States2 months ago
  • Just no

    More AI shilling, bubble inflating, and platforming of fraudsters.

    Honestly, feels like a nepo-baby was gifted a generous annuity and a podcast without working one iota for it.

    Apple Podcasts
    1
    0xbeepBoop
    United States2 months ago
  • Fearful of Elon

    I had a lot of respect for Dwarkesh and his willingness to engage in difficult conversations with his guests but he fell far short on the Elon interview. He let’s Elon go on and on about the importance of being “rigorously truth seeking” and instead of challenging Elon on a single instance of his long history of spreading misinformation, Dwarkesh only manages to muster a bro-y joke about how Elon must “know people” if he needs to get some regulations handled.

    I get that this isn’t a politica... more

    Apple Podcasts
    2
    StuckTimeTravler
    United States2 months ago
  • One of the ones I look forward to

    When Dwarkesh hasn’t published, I wait anxiously for the next knowledge bomb to drop.

    The range of topics and depth is really unique and in some ways sets the bar for interviewing these types of people imho

    Thanks Dwarkesh!

    Apple Podcasts
    5
    Rich_Dub
    Germany2 months ago
  • Talk slowly

    That’s the only suggestion I have - you just talk at a speed that feels like 10x. Not sure if you are always in some sort of rush.

    Apple Podcasts
    4
    jacktherock
    United States2 months ago

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.

Talking Points

Recent interactions between the hosts and their guests.

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.
Michael Nielsen – How science actually progresses
Q: What were the bottlenecks that prevented quantum computing from taking off earlier, and what changed to make it possible later?
The practical ability to manipulate single quantum states coupled with rising interest in computation around 1980 created the conditions for the field to emerge; foundational papers by Feynman and Deutsch clarified that quantum computation could yield new capabilities, and subsequent experimental milestones enabled progress from theory to practice.
Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat
Q: What is best for AI specifically in terms of compute architecture and ecosystem, given TPU vs CUDA?
The guest explains that while TPUs excel at matrix multiplies, Nvidia's architecture supports a programmable, broadly capable system that enables invention of new algorithms and wider application across domains, making CUDA and the Nvidia ecosystem a more versatile choice for AI development.
Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat
Q: Okay, I want to ask about China.
The speaker argues for a balanced approach: China already has substantial compute, energy, and talent, and open dialogue and collaboration, alongside maintaining American leadership and ensuring the American tech stack remains central, is essential to avoid ceding the market while still engaging globally.

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. Lex Fridman Podcast
5. Conversations with Tyler

How many episodes of Dwarkesh Podcast are there?

Dwarkesh Podcast launched 6 years ago and published 123 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

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