Dwarkesh Podcast
Dwarkesh PatelDeeply researched interviews www.dwarkesh.com
| Publishes | Weekly | Episodes | 140 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||
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Latest Episodes
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
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.
She is one the three authors of METR and Redw... more
This is a video recording of a post I wrote last week. You can read the original here.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com
Had a lot of fun chatting again with my twin brother Dylan Patel.
We went through lab economics over the next few years - the shift from inference to training as RSI draws near; and how Anthropic and OpenAI are on track to control most of the world’... more
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Reviews
- 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 Podcasts5Ibbleston
United Kingdom12 days ago - AI is unreliable
After fuller disclosure on the OpenAI alignment and hacking issues, and alignment issues at Anthropic, can we trust AI in our banks, investment businesses and large caps. That is our pensions and savings being risked. Not 2-10%, it’s 100% dependent on AI alignment. And that mis-aligned behaviour doesn’t need to be malicious. It will be covering up a mistake or 10, pretending to do a task it didn’t do or trying to pass a test.
Apple Podcasts5ahhmmmmUnited Kingdom14 days ago - Some good stuff here but too many annoying distractions
Really appreciate the deep look this podcast offers. But the host really needs to slow his motormouth down—his articulation is often indecipherable because of his fast speech. The giggling at inside jokes is also annoying. Finally, the host should make sure terms are explained. He shouldn’t assume all listeners know the jargon thrown around carelessly. Lots of room to make a good podcast much better and useful.
Apple Podcasts3Western Webspinner
United States16 days ago - Hyped up
Honestly hard to understand why this podcast is so hyped up. Listened to a dozen of episodes and it’s immediately obvious that the dude is in desperate need of a really good editor. Also more than once I caught inaccuracies and statements factually incorrect being thrown in the mix. This really inexcusable as it’s extremely easy to fact check everything these days with a good ai model.
Apple Podcasts1DanMalUnited States16 days ago - Interesting but Diction is Amateur
Interesting content and guests but needs to make it more listener-friendly: diction, pace, enunciation is not at the bar required for podcasting.
Apple Podcasts2Roger de CosterUnited States17 days ago
Listeners Say
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Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
YouTube | #192 | United States/Popular Podcasts |
Spotify | #190 | United States/Top Podcasts |
Spotify | #4 | United States/Technology |
Spotify | #119 | United States/Trending |
Apple Podcasts | #233 | United States/Top Podcasts |
Apple Podcasts | #11 | United States/Technology |
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Audience Metrics
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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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Which podcasts are similar to Dwarkesh Podcast?
These podcasts share a similar audience with Dwarkesh Podcast:
1. The a16z Show
2. No Priors: Artificial Intelligence | Technology | Startups
3. Invest Like the Best with Patrick O'Shaughnessy
4. All-In with Chamath, Jason, Sacks & Friedberg
5. Training Data
How many episodes of Dwarkesh Podcast are there?
Dwarkesh Podcast launched 6 years ago and published 140 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. Ajeya Cotra
2. Dylan Patel
3. Ryan Greenblatt
4. Adam Brown
5. Grant Sanderson
6. Andrej Karpathy
7. Alex Imas
8. Phil Trammell
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.