Nat Friedman - Reading Ancient Scrolls, Open Source, & AI

Dwarkesh Podcast

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1
Black Mirror Season 7 28:30

7 dagen geleden28:30

Later Afspelen

Lijsten

Vind ik leuk

Leuk

28:30

We're trying something different this week: a full post-show breakdown of every episode in the latest season of Black Mirror! Ari Romero is joined by Tudum's Black Mirror expert, Keisha Hatchett, to give you all the nuance, the insider commentary, and the details you might have missed in this incredible new season. Plus commentary from creator & showrunner Charlie Brooker! SPOILER ALERT: We're talking about the new season in detail and revealing key plot points. If you haven't watched yet, and you don't want to know what happens, turn back now! You can watch all seven seasons of Black Mirror now in your personalized virtual theater . Follow Netflix Podcasts and read more about Black Mirror on Tudum.com .…

2 jaar geleden 1:38:23

MP3•Thuis aflevering

It is said that the two greatest problems of history are: how to account for the rise of Rome, and how to account for her fall. If so, then the volcanic ashes spewed by Mount Vesuvius in 79 AD - which entomb the cities of Pompeii and Herculaneum in South Italy - hold history’s greatest prize. For beneath those ashes lies the only salvageable library from the classical world.

Nat Friedman was the CEO of Github form 2018 to 2021. Before that, he started and sold two companies - Ximian and Xamarin. He is also the founder of AI Grant and California YIMBY.

And most recently, he has created and funded the Vesuvius Challenge - a million dollar prize for reading an unopened Herculaneum scroll for the very first time. If we can decipher these scrolls, we may be able to recover lost gospels, forgotten epics, and even missing works of Aristotle.

We also discuss the future of open source and AI, running Github and building Copilot, and why EMH is a lie.

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.

Timestamps

(0:00:00) - Vesuvius Challenge

(0:30:00) - Finding points of leverage

(0:37:39) - Open Source in AI

(0:40:32) - Github Acquisition

(0:50:18) - Copilot origin Story

(1:11:47) - Nat.org

(1:32:56) - Questions from Twitter

Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

101 afleveringen

#Dwarkesh Patel #Tech #Science #George Mason University

Dwarkesh Podcast

Nat Friedman - Reading Ancient Scrolls, Open Source, & AI

Dwarkesh Podcast

321 subscribers

published 2 jaar geleden

MP3•Thuis aflevering

Nat Friedman was the CEO of Github form 2018 to 2021. Before that, he started and sold two companies - Ximian and Xamarin. He is also the founder of AI Grant and California YIMBY.

We also discuss the future of open source and AI, running Github and building Copilot, and why EMH is a lie.

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.

Timestamps

(0:00:00) - Vesuvius Challenge

(0:30:00) - Finding points of leverage

(0:37:39) - Open Source in AI

(0:40:32) - Github Acquisition

(0:50:18) - Copilot origin Story

(1:11:47) - Nat.org

(1:32:56) - Questions from Twitter

Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

101 afleveringen

#Dwarkesh Patel #Tech #Science #George Mason University

Minden epizód

1
AGI is Still 30 Years Away — Ege Erdil & Tamay Besiroglu 3:08:28

11 hours geleden3:08:28

3:08:28

Ege Erdil and Tamay Besiroglu have 2045+ timelines, think the whole "alignment" framing is wrong, don't think an intelligence explosion is plausible, but are convinced we'll see explosive economic growth (economy literally doubling every year or two). This discussion offers a totally different scenario than my recent interview with Scott and Daniel . Ege and Tamay are the co-founders of Mechanize , a startup dedicated to fully automating work. Before founding Mechanize, Ege and Tamay worked on AI forecasts at Epoch AI . Watch on Youtube ; listen on Apple Podcasts or Spotify . ---------- Sponsors * WorkOS makes it easy to become enterprise-ready. With simple APIs for essential enterprise features like SSO and SCIM, WorkOS helps companies like Vercel, Plaid, and OpenAI meet the requirements of their biggest customers. To learn more about how they can help you do the same, visit workos.com * Scale’s Data Foundry gives major AI labs access to high-quality data to fuel post-training, including advanced reasoning capabilities. If you’re an AI researcher or engineer, learn about how Scale’s Data Foundry and research lab, SEAL, can help you go beyond the current frontier at scale.com/dwarkesh * Google's Gemini Pro 2.5 is the model we use the most at Dwarkesh Podcast: it helps us generate transcripts , identify interesting clips , and code up new tools. If you want to try it for yourself, it's now available in Preview with higher rate limits! Start building with it today at aistudio.google.com . ---------- Timestamps (00:00:00) - AGI will take another 3 decades (00:22:27) - Even reasoning models lack animal intelligence (00:45:04) - Intelligence explosion (01:00:57) - Ege & Tamay’s story (01:06:24) - Explosive economic growth (01:33:00) - Will there be a separate AI economy? (01:47:08) - Can we predictably influence the future? (02:19:48) - Arms race dynamic (02:29:48) - Is superintelligence a real thing? (02:35:45) - Reasons not to expect explosive growth (02:49:00) - Fully automated firms (02:54:43) - Will central planning work after AGI? (02:58:20) - Career advice Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

1
2027 Intelligence Explosion: Month-by-Month Model — Scott Alexander & Daniel Kokotajlo 3:04:26

14 dagen geleden3:04:26

3:04:26

Scott and Daniel break down every month from now until the 2027 intelligence explosion. Scott Alexander is author of the highly influential blogs Slate Star Codex and Astral Codex Ten . Daniel Kokotajlo resigned from OpenAI in 2024, rejecting a non-disparagement clause and risking millions in equity to speak out about AI safety. We discuss misaligned hive minds, Xi and Trump waking up, and automated Ilyas researching AI progress. I came in skeptical, but I learned a tremendous amount by bouncing my objections off of them. I highly recommend checking out their new scenario planning document, AI 2027 Watch on Youtube ; listen on Apple Podcasts or Spotify . ---------- Sponsors * WorkOS helps today’s top AI companies get enterprise-ready. OpenAI, Cursor, Perplexity, Anthropic and hundreds more use WorkOS to quickly integrate features required by enterprise buyers. To learn more about how you can make the leap to enterprise, visit workos.com * Jane Street likes to know what's going on inside the neural nets they use. They just released a black-box challenge for Dwarkesh listeners, and I had a blast trying it out. See if you have the skills to crack it at janestreet.com/dwarkesh * Scale’s Data Foundry gives major AI labs access to high-quality data to fuel post-training, including advanced reasoning capabilities. If you’re an AI researcher or engineer, learn about how Scale’s Data Foundry and research lab, SEAL, can help you go beyond the current frontier at scale.com/dwarkesh To sponsor a future episode, visit dwarkesh.com/advertise . ---------- Timestamps (00:00:00) - AI 2027 (00:06:56) - Forecasting 2025 and 2026 (00:14:41) - Why LLMs aren't making discoveries (00:24:33) - Debating intelligence explosion (00:49:45) - Can superintelligence actually transform science? (01:16:54) - Cultural evolution vs superintelligence (01:24:05) - Mid-2027 branch point (01:32:30) - Race with China (01:44:47) - Nationalization vs private anarchy (02:03:22) - Misalignment (02:14:52) - UBI, AI advisors, & human future (02:23:00) - Factory farming for digital minds (02:26:52) - Daniel leaving OpenAI (02:35:15) - Scott's blogging advice Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

1
AMA ft. Sholto & Trenton: New Book, Career Advice Given AGI, How I'd Start From Scratch 49:33

23 dagen geleden49:33

49:33

I recorded an AMA! I had a blast chatting with my friends Trenton Bricken and Sholto Douglas. We discussed my new book, career advice given AGI, how I pick guests, how I research for the show, and some other nonsense. My book, “ The Scaling Era: An Oral History of AI, 2019-2025 ” is available in digital format now. Preorders for the print version are also open! Watch on YouTube ; listen on Apple Podcasts or Spotify . Timestamps (0:00:00) - Book launch announcement (0:04:57) - AI models not making connections across fields (0:10:52) - Career advice given AGI (0:15:20) - Guest selection criteria (0:17:19) - Choosing to pursue the podcast long-term (0:25:12) - Reading habits (0:31:10) - Beard deepdive (0:33:02) - Who is best suited for running an AI lab? (0:35:16) - Preparing for fast AGI timelines (0:40:50) - Growing the podcast Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

1
Joseph Henrich – Why Humans Survived and Smarter Species Didn't 1:52:59

5 weeks geleden1:52:59

1:52:59

Humans have not succeeded because of our raw intelligence. Marooned European explorers regularly starved to death in areas where foragers thrived for 1000s of years. I’ve always found this cultural evolution deeply mysterious. How do you discover the 10 steps for processing cassava so it won’t give you cyanide poisoning simply by trial and error? Has the human brain declined in size over the last 10,000 years because we outsourced cultural evolution to a larger collective brain? The most interesting part of the podcast is Henrich’s explanation of how the Catholic Church unintentionally instigated the Industrial Revolution through the dismantling of intensive kinship systems in medieval Europe. Watch on Youtube ; listen on Apple Podcasts or Spotify . ---------- Sponsors Scale partners with major AI labs like Meta, Google Deepmind, and OpenAI. Through Scale’s Data Foundry, labs get access to high-quality data to fuel post-training, including advanced reasoning capabilities. If you’re an AI researcher or engineer, learn about how Scale’s Data Foundry and research lab, SEAL, can help you go beyond the current frontier at scale.com/dwarkesh . To sponsor a future episode, visit dwarkesh.com/p/advertise . ---------- Joseph’s books The WEIRDest People in the World The Secret of Our Success ---------- Timestamps (0:00:00) - Humans didn’t succeed because of raw IQ (0:09:27) - How cultural evolution works (0:20:48) - Why is human brain size declining? (0:32:00) - Will AGI have superhuman cultural learning? (0:42:34) - Why Industrial Revolution happened in Europe (0:55:30) - Why China, Rome, India got left behind (1:21:09) - Loss of cultural variance in modern world (1:31:20) - Is individual genius real? (1:43:49) - IQ and collective brains Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

1
Notes on China 19:31

6 weeks geleden19:31

19:31

I’m so excited with how this visualization of Notes on China turned out. Petr , thank you for such beautiful watercolor artwork. More to come! Watch on YouTube . ---------- Timestamps (0:00:00) - Intro (0:00:32) - Scale (0:05:50) - Vibes (0:11:14) - Youngsters (0:14:27) - Tech & AI (0:15:47) - Hearts & Minds (0:17:07) - On Travel Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

1
Satya Nadella – Microsoft’s AGI Plan & Quantum Breakthrough 1:16:10

8 weeks geleden1:16:10

1:16:10

Satya Nadella on: Why he doesn’t believe in AGI but does believe in 10% economic growth; Microsoft’s new topological qubit breakthrough and gaming world models; Whether Office commoditizes LLMs or the other way around. Watch on Youtube ; listen on Apple Podcasts or Spotify . ---------- Sponsors Scale partners with major AI labs like Meta, Google Deepmind, and OpenAI. Through Scale’s Data Foundry, labs get access to high-quality data to fuel post-training, including advanced reasoning capabilities. If you’re an AI researcher or engineer, learn about how Scale’s Data Foundry and research lab, SEAL, can help you go beyond the current frontier at scale.com/dwarkesh Linear's project management tools have become the default choice for product teams at companies like Ramp, CashApp, OpenAI, and Scale. These teams use Linear so they can stay close to their products and move fast. If you’re curious why so many companies are making the switch, visit linear.app/dwarkesh To sponsor a future episode, visit dwarkeshpatel.com/p/advertise . ---------- Timestamps (0:00:00) - Intro (0:05:04) - AI won't be winner-take-all (0:15:18) - World economy growing by 10% (0:21:39) - Decreasing price of intelligence (0:30:19) - Quantum breakthrough (0:42:51) - How Muse will change gaming (0:49:51) - Legal barriers to AI (0:55:46) - Getting AGI safety right (1:04:59) - 34 years at Microsoft (1:10:46) - Does Satya Nadella believe in AGI? Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

1
Jeff Dean & Noam Shazeer – 25 years at Google: from PageRank to AGI 2:14:43

9 weeks geleden2:14:43

2:14:43

This week I welcome on the show two of the most important technologists ever, in any field. Jeff Dean is Google's Chief Scientist, and through 25 years at the company, has worked on basically the most transformative systems in modern computing: from MapReduce, BigTable, Tensorflow, AlphaChip, to Gemini. Noam Shazeer invented or co-invented all the main architectures and techniques that are used for modern LLMs: from the Transformer itself, to Mixture of Experts, to Mesh Tensorflow, to Gemini and many other things. We talk about their 25 years at Google, going from PageRank to MapReduce to the Transformer to MoEs to AlphaChip – and maybe soon to ASI. My favorite part was Jeff's vision for Pathways, Google’s grand plan for a mutually-reinforcing loop of hardware and algorithmic design and for going past autoregression. That culminates in us imagining *all* of Google-the-company, going through one huge MoE model. And Noam just bites every bullet: 100x world GDP soon; let’s get a million automated researchers running in the Google datacenter; living to see the year 3000.Watch on Youtube ; listen on Apple Podcasts or Spotify . Sponsors Scale partners with major AI labs like Meta, Google Deepmind, and OpenAI. Through Scale’s Data Foundry, labs get access to high-quality data to fuel post-training, including advanced reasoning capabilities. If you’re an AI researcher or engineer, learn about how Scale’s Data Foundry and research lab, SEAL, can help you go beyond the current frontier at scale.com/dwarkesh Curious how Jane Street teaches their new traders? They use Figgie, a rapid-fire card game that simulates the most exciting parts of markets and trading. It’s become so popular that Jane Street hosts an inter-office Figgie championship every year. Download from the app store or play on your desktop at figgie.com Meter wants to radically improve the digital world we take for granted. They’re developing a foundation model that automates network management end-to-end. To do this, they just announced a long-term partnership with Microsoft for tens of thousands of GPUs, and they’re recruiting a world class AI research team. To learn more, go to meter.com/dwarkesh To sponsor a future episode, visit dwarkeshpatel.com/p/advertise Timestamps 00:00:00 - Intro 00:02:44 - Joining Google in 1999 00:05:36 - Future of Moore's Law 00:10:21 - Future TPUs 00:13:13 - Jeff’s undergrad thesis: parallel backprop 00:15:10 - LLMs in 2007 00:23:07 - “Holy s**t” moments 00:29:46 - AI fulfills Google’s original mission 00:34:19 - Doing Search in-context 00:38:32 - The internal coding model 00:39:49 - What will 2027 models do? 00:46:00 - A new architecture every day? 00:49:21 - Automated chip design and intelligence explosion 00:57:31 - Future of inference scaling 01:03:56 - Already doing multi-datacenter runs 01:22:33 - Debugging at scale 01:26:05 - Fast takeoff and superalignment 01:34:40 - A million evil Jeff Deans 01:38:16 - Fun times at Google 01:41:50 - World compute demand in 2030 01:48:21 - Getting back to modularity 01:59:13 - Keeping a giga-MoE in-memory 02:04:09 - All of Google in one model 02:12:43 - What’s missing from distillation 02:18:03 - Open research, pros and cons 02:24:54 - Going the distance Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

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Sarah Paine Episode 3: How Mao Conquered China 1:48:14

11 weeks geleden1:48:14

1:48:14

Third and final episode in the Paine trilogy! Chinese history is full of warlords constantly challenging the capital. How could Mao not only stay in power for decades, but not even face any insurgency? And how did Mao go from military genius to peacetime disaster - the patriotic hero who inflicted history’s worst human catastrophe on China? How can someone shrewd enough to win a civil war outnumbered 5 to 1 decide "let's have peasants make iron in their backyards" and "let's kill all the birds"? In her lecture and our Q&A, we cover the first nationwide famine in Chinese history; Mao's lasting influence on other insurgents; broken promises to minorities and peasantry; and what Taiwan means. Thanks so much to @Substack for running this in-person event! Note that Sarah is doing an AMA over the next couple days on Youtube ; see the pinned comment. Watch on YouTube . Listen on Apple Podcasts , Spotify , or any other podcast platform. Sponsor Today’s episode is brought to you by Scale AI. Scale partners with the U.S. government to fuel America’s AI advantage through their data foundry. Scale recently introduced Defense Llama, Scale's latest solution available for military personnel. With Defense Llama, military personnel can harness the power of AI to plan military or intelligence operations and understand adversary vulnerabilities. If you’re interested in learning more on how Scale powers frontier AI capabilities, go to https://scale.com/dwarkesh . Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

1
Sarah Paine Episode 2: Why Japan Lost (Lecture & Interview) 2:08:13

12 weeks geleden2:08:13

2:08:13

This is the second episode in the trilogy of a lectures by Professor Sarah Paine of the Naval War College. In this second episode, Prof Paine dissects the ideas and economics behind Japanese imperialism before and during WWII. We get into the oil shortage which caused the war; the unique culture of honor and death; the surprisingly chaotic chain of command. This is followed by a Q&A with me. Huge thanks to Substack for hosting this event! Watch on YouTube . Listen on Apple Podcasts , Spotify , or any other podcast platform. Sponsor Today’s episode is brought to you by Scale AI. Scale partners with the U.S. government to fuel America’s AI advantage through their data foundry. Scale recently introduced Defense Llama, Scale's latest solution available for military personnel. With Defense Llama, military personnel can harness the power of AI to plan military or intelligence operations and understand adversary vulnerabilities. If you’re interested in learning more on how Scale powers frontier AI capabilities, go to scale.com/dwarkesh . Buy Sarah's Books! I highly, highly recommend both " The Wars for Asia, 1911–1949 " and " The Japanese Empire: Grand Strategy from the Meiji Restoration to the Pacific War ". Timestamps (0:00:00) - Lecture begins (0:06:58) - The code of the samurai (0:10:45) - Buddhism, Shinto, Confucianism (0:16:52) - Bushido as bad strategy (0:23:34) - Military theorists (0:33:42) - Strategic sins of omission (0:38:10) - Crippled logistics (0:40:58) - the Kwantung Army (0:43:31) - Inter-service communication (0:51:15) - Shattering Japanese morale (0:57:35) - Q&A begins (01:05:02) - Unusual brutality of WWII (01:11:30) - Embargo caused the war (01:16:48) - The liberation of China (01:22:02) - Could US have prevented war? (01:25:30) - Counterfactuals in history (01:27:46) - Japanese optimism (01:30:46) - Tech change and social change (01:38:22) - Hamming questions (01:44:31) - Do sanctions work? (01:50:07) - Backloaded mass death (01:54:09) - demilitarizing Japan (01:57:30) - Post-war alliances (02:03:46) - Inter-service rivalry Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

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Sarah Paine Episode 1: The War For India (Lecture & Interview) 2:12:58

13 weeks geleden2:12:58

2:12:58

I’m thrilled to launch a new trilogy of double episodes: a lecture series by Professor Sarah Paine of the Naval War College, each followed by a deep Q&A. In this first episode, Prof Paine talks about key decisions by Khrushchev, Mao, Nehru, Bhutto, & Lyndon Johnson that shaped the whole dynamic of South Asia today. This is followed by a Q&A. Come for the spy bases, shoestring nukes, and insight about how great power politics impacts every region. Huge thanks to Substack for hosting this! Watch on YouTube . Listen on Apple Podcasts , Spotify , or any other podcast platform. Sponsors Today’s episode is brought to you by Scale AI. Scale partners with the U.S. government to fuel America’s AI advantage through their data foundry. The Air Force, Army, Defense Innovation Unit, and Chief Digital and Artificial Intelligence Office all trust Scale to equip their teams with AI-ready data and the technology to build powerful applications. Scale recently introduced Defense Llama, Scale's latest solution available for military personnel. With Defense Llama, military personnel can harness the power of AI to plan military or intelligence operations and understand adversary vulnerabilities. If you’re interested in learning more on how Scale powers frontier AI capabilities, go to scale.com/dwarkesh . Timestamps (00:00) - Intro (02:11) - Mao at war, 1949-51 (05:40) - Pactomania and Sino-Soviet conflicts (14:42) - The Sino-Indian War (20:00) - Soviet peace in India-Pakistan (22:00) - US Aid and Alliances (26:14) - The difference with WWII (30:09) - The geopolitical map in 1904 (35:10) - The US alienates Indira Gandhi (42:58) - Instruments of US power (53:41) - Carrier battle groups (1:02:41) - Q&A begins (1:04:31) - The appeal of the USSR (1:09:36) - The last communist premier (1:15:42) - India and China's lost opportunity (1:58:04) - Bismark's cunning (2:03:05) - Training US officers (2:07:03) - Cruelty in Russian history Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

1
Tyler Cowen - the #1 bottleneck to AI progress is humans 59:45

14 weeks geleden59:45

59:45

I interviewed Tyler Cowen at the Progress Conference 2024. As always, I had a blast. This is my fourth interview with him – and yet I’m always hearing new stuff. We talked about why he thinks AI won't drive explosive economic growth, the real bottlenecks on world progress, him now writing for AIs instead of humans, and the difficult relationship between being cultured and fostering growth – among many other things in the full episode. Thanks to the Roots of Progress Institute (with special thanks to Jason Crawford and Heike Larson) for such a wonderful conference, and to FreeThink for the videography. Watch on YouTube . Listen on Apple Podcasts , Spotify , or any other podcast platform. Read the full transcript here . Sponsors I’m grateful to Tyler for volunteering to say a few words about Jane Street . It's the first time that a guest has participated in the sponsorship. I hope you can see why Tyler and I think so highly of Jane Street. To learn more about their open rules, go to janestreet.com/dwarkesh . Timestamps (00:00:00) Economic Growth and AI (00:14:57) Founder Mode and increasing variance (00:29:31) Effective Altruism and Progress Studies (00:33:05) What AI changes for Tyler (00:44:57) The slow diffusion of innovation (00:49:53) Stalin's library (00:52:19) DC vs SF vs EU Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe…

1
Adam Brown – How Future Civilizations Could Change The Laws of Physics 2:43:37

16 weeks geleden2:43:37

2:43:37

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.dwarkesh.com/subscribe…

1
Gwern Branwen - How an Anonymous Researcher Predicted AI's Trajectory 1:36:43

22 weeks geleden1:36:43

1:36:43

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.dwarkesh.com/subscribe…

1
Dylan Patel & Jon (Asianometry) – How the Semiconductor Industry Actually Works 2:09:57

28 weeks geleden2:09:57

2:09:57

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.dwarkesh.com/subscribe…

1
Daniel Yergin – Oil Explains the Entire 20th Century 1:27:37

30 weeks geleden1:27:37

1:27:37

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.dwarkesh.com/subscribe…

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