Dwarkesh Podcast

Dwarkesh Patel
Dwarkesh Podcast

Deeply researched interviews www.dwarkeshpatel.com

  1. I'm hiring!

    27/12/2024

    I'm hiring!

    In order to apply, or to refer someone else, please fill out this short form! For more information, visit dwarkeshpatel.com/roles. Our mission is to publish the highest quality intellectual content in the world, to find the David Reichs and Sarah Paines of every field, and to produce the best contemporaneous coverage of the emergence of AGI. I need the help of two key partners in order to achieve this mission. * General Manager: A killer operator who will run and lead our business. * Editor-in-Chief: A polymath and a shrewd promoter with amazing taste. If you refer somebody I end up hiring, I'll pay you $20,000. If you know someone exceptional who would be a great fit, please share this with them! FAQ Will keep updated. Q: What happened to the COO position you posted about a few months ago? Tons of super talented people applied. The role wasn't filled because I had incorrectly combined two distinct positions into one. This was not due to any shortcomings in the applicant pool, and I’m very grateful to everyone who applied! Q: What's the timeline? A: I'll keep applications open until January 20th and will start reviewing and scheduling interviews from January 8th. Early applications will be reviewed first. Q: I applied for the COO role previously - can I apply again? A: Yes! While many incredibly talented people applied for the COO role, I've now split the role into two more focused positions. If you applied before, you're welcome to apply again, though please note that I have already reviewed and considered your previous application. Q: What's the compensation? A: Compensation will be competitive with major tech companies. Q: What about location? A: I'm flexible on location but have a preference for hybrid work with some time in my SF office when in-person collaboration is valuable. Full remote is possible for exceptional candidates. Get full access to Dwarkesh Podcast at www.dwarkeshpatel.com/subscribe

    9 min
  2. Adam Brown – How Future Civilizations Could Change The Laws of Physics

    26/12/2024

    Adam Brown – How Future Civilizations Could Change The Laws of Physics

    Adam Brown is a founder and lead of BlueShift with is cracking maths and reasoning at Google DeepMind and a theoretical physicist at Stanford. We discuss: destroying the light cone with vacuum decay, holographic principle, mining black holes, & what it would take to train LLMs that can make Einstein level conceptual breakthroughs. Stupefying, entertaining, & terrifying. Enjoy! Watch on YouTube, read the transcript, listen on Apple Podcasts, Spotify, or your favorite platform. Sponsors - Deepmind, Meta, Anthropic, and OpenAI, partner with Scale for high quality data to fuel post-training Publicly available data is running out - to keep developing smarter and smarter models, labs will need to rely on Scale’s data foundry, which combines subject matter experts with AI models to generate fresh data and break through the data wall. Learn more at scale.ai/dwarkesh. - Jane Street is looking to hire their next generation of leaders. Their deep learning team is looking for ML researchers, FPGA programmers, and CUDA programmers. Summer internships are open for just a few more weeks. If you want to stand out, take a crack at their new Kaggle competition. To learn more, go to janestreet.com/dwarkesh. - This episode is brought to you by Stripe, financial infrastructure for the internet. Millions of companies from Anthropic to Amazon use Stripe to accept payments, automate financial processes and grow their revenue. Timestamps (00:00:00) - Changing the laws of physics (00:26:05) - Why is our universe the way it is (00:37:30) - Making Einstein level AGI (01:00:31) - Physics stagnation and particle colliders (01:11:10) - Hitchhiking (01:29:00) - Nagasaki (01:36:19) - Adam’s career (01:43:25) - Mining black holes (01:59:42) - The holographic principle (02:23:25) - Philosophy of infinities (02:31:42) - Engineering constraints for future civilizations Get full access to Dwarkesh Podcast at www.dwarkeshpatel.com/subscribe

    2h 44m
  3. 13/11/2024

    Gwern Branwen - How an Anonymous Researcher Predicted AI's Trajectory

    Gwern is a pseudonymous researcher and writer. He was one of the first people to see LLM scaling coming. If you've read his blog, you know he's one of the most interesting polymathic thinkers alive. In order to protect Gwern's anonymity, I proposed interviewing him in person, and having my friend Chris Painter voice over his words after. This amused him enough that he agreed. After the episode, I convinced Gwern to create a donation page where people can help sustain what he's up to. Please go here to contribute. Read the full transcript here. Sponsors: * Jane Street is looking to hire their next generation of leaders. Their deep learning team is looking for ML researchers, FPGA programmers, and CUDA programmers. Summer internships are open - if you want to stand out, take a crack at their new Kaggle competition. To learn more, go to janestreet.com/dwarkesh. * Turing provides complete post-training services for leading AI labs like OpenAI, Anthropic, Meta, and Gemini. They specialize in model evaluation, SFT, RLHF, and DPO to enhance models’ reasoning, coding, and multimodal capabilities. Learn more at turing.com/dwarkesh. * This episode is brought to you by Stripe, financial infrastructure for the internet. Millions of companies from Anthropic to Amazon use Stripe to accept payments, automate financial processes and grow their revenue. If you’re interested in advertising on the podcast, check out this page. Timestamps 00:00:00 - Anonymity 00:01:09 - Automating Steve Jobs 00:04:38 - Isaac Newton's theory of progress 00:06:36 - Grand theory of intelligence 00:10:39 - Seeing scaling early 00:21:04 - AGI Timelines 00:22:54 - What to do in remaining 3 years until AGI 00:26:29 - Influencing the shoggoth with writing 00:30:50 - Human vs artificial intelligence 00:33:52 - Rabbit holes 00:38:48 - Hearing impairment 00:43:00 - Wikipedia editing 00:47:43 - Gwern.net 00:50:20 - Counterfactual careers 00:54:30 - Borges & literature 01:01:32 - Gwern's intelligence and process 01:11:03 - A day in the life of Gwern 01:19:16 - Gwern's finances 01:25:05 - The diversity of AI minds 01:27:24 - GLP drugs and obesity 01:31:08 - Drug experimentation 01:33:40 - Parasocial relationships 01:35:23 - Open rabbit holes Get full access to Dwarkesh Podcast at www.dwarkeshpatel.com/subscribe

    1h 37m
  4. 02/10/2024

    Dylan Patel & Jon (Asianometry) – How the Semiconductor Industry Actually Works

    A bonanza on the semiconductor industry and hardware scaling to AGI by the end of the decade. Dylan Patel runs Semianalysis, the leading publication and research firm on AI hardware. Jon Y runs Asianometry, the world’s best YouTube channel on semiconductors and business history. * What Xi would do if he became scaling pilled * $ 1T+ in datacenter buildout by end of decade Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform. Read the full transcript here. Follow me on Twitter for updates on future episodes. Sponsors: * Jane Street is looking to hire their next generation of leaders. Their deep learning team is looking for FPGA programmers, CUDA programmers, and ML researchers. To learn more about their full time roles, internship, tech podcast, and upcoming Kaggle competition, go here. * This episode is brought to you by Stripe, financial infrastructure for the internet. Millions of companies from Anthropic to Amazon use Stripe to accept payments, automate financial processes and grow their revenue. If you’re interested in advertising on the podcast, check out this page. Timestamps 00:00:00 – Xi's path to AGI 00:04:20 – Liang Mong Song 00:08:25 – How semiconductors get better 00:11:16 – China can centralize compute 00:18:50 – Export controls & sanctions 00:32:51 – Huawei's intense culture 00:38:51 – Why the semiconductor industry is so stratified 00:40:58 – N2 should not exist 00:45:53 – Taiwan invasion hypothetical 00:49:21 – Mind-boggling complexity of semiconductors 00:59:13 – Chip architecture design 01:04:36 – Architectures lead to different AI models? China vs. US 01:10:12 – Being head of compute at an AI lab 01:16:24 – Scaling costs and power demand 01:37:05 – Are we financing an AI bubble? 01:50:20 – Starting Asianometry and SemiAnalysis 02:06:10 – Opportunities in the semiconductor stack Get full access to Dwarkesh Podcast at www.dwarkeshpatel.com/subscribe

    2h 10m
  5. Daniel Yergin – Oil Explains the Entire 20th Century

    18/09/2024

    Daniel Yergin – Oil Explains the Entire 20th Century

    Unless you understand the history of oil, you cannot understand the rise of America, WW1, WW2, secular stagnation, the Middle East, Ukraine, how Xi and Putin think, and basically anything else that's happened since 1860. It was a great honor to interview Daniel Yergin, the Pulitzer Prize winning author of The Prize - the best history of oil ever written (which makes it the best history of the 20th century ever written). Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform. Read the full transcript here. Follow me on Twitter for updates on future episodes. Sponsors: This episode is brought to you by Stripe, financial infrastructure for the internet. Millions of companies from Anthropic to Amazon use Stripe to accept payments, automate financial processes and grow their revenue. This episode is brought to you by Suno, pioneers in AI-generated music. Suno's technology allows artists to experiment with melodic forms and structures in unprecedented ways. From chart-toppers to avant-garde compositions, Suno is redefining musical creativity. If you're an ML researcher passionate about shaping the future of music, email your resume to dwarkesh@suno.com. If you’re interested in advertising on the podcast, check out this page. Timestamps (00:00:00) – Beginning of the oil industry (00:13:37) – World War I & II (00:25:06) – The Middle East (00:47:04) – Yergin’s conversations with Putin & Modi (01:04:36) – Writing through stories (01:10:26) – The renewable energy transition Get full access to Dwarkesh Podcast at www.dwarkeshpatel.com/subscribe

    1h 28m
  6. David Reich - How One Small Tribe Conquered the World 70,000 Years Ago

    29/08/2024

    David Reich - How One Small Tribe Conquered the World 70,000 Years Ago

    I had no idea how wild human history was before chatting with the geneticist of ancient DNA David Reich. Human history has been again and again a story of one group figuring ‘something’ out, and then basically wiping everyone else out. From the tribe of 1k-10k modern humans who killed off all the other human species 70,000 years ago; to the Yamnaya horse nomads 5,000 years ago who killed off 90+% of (then) Europeans and also destroyed the Indus Valley. So much of what we thought we knew about human history is turning out to be wrong, from the ‘Out of Africa’ theory to the evolution of language, and this is all thanks to the research from David Reich’s lab. Buy David Reich’s fascinating book, Who We Are How We Got Here. Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform. Read the full transcript here. Follow me on Twitter for updates on future episodes. Sponsor This episode is brought to you by Stripe, financial infrastructure for the internet. Millions of companies from Anthropic to Amazon use Stripe to accept payments, automate financial processes and grow their revenue. If you’re interested in advertising on the podcast, check out this page. Timestamps (00:00:00) – Archaic and modern humans gene flow (00:20:24) – How early modern humans dominated the world (00:39:59) – How bubonic plague rewrote history (00:50:03) – Was agriculture terrible for humans? (00:59:28) – Yamnaya expansion and how populations collide (01:15:39) – “Lost civilizations” and our Neanderthal ancestry (01:31:32) – The DNA Challenge (01:41:38) – David’s career: the genetic vocation Get full access to Dwarkesh Podcast at www.dwarkeshpatel.com/subscribe

    1h 56m

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Deeply researched interviews www.dwarkeshpatel.com

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