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Technology

  • Acquired
    Acquired

    1

    Acquired

    Ben Gilbert and David Rosenthal

  • All-In with Chamath, Jason, Sacks & Friedberg
    All-In with Chamath, Jason, Sacks & Friedberg

    2

    All-In with Chamath, Jason, Sacks & Friedberg

    All-In Podcast, LLC

  • Lex Fridman Podcast
    Lex Fridman Podcast

    3

    Lex Fridman Podcast

    Lex Fridman

  • Dwarkesh Podcast
    Dwarkesh Podcast

    4

    Dwarkesh Podcast

    Dwarkesh Patel

  • The AI Daily Brief: Artificial Intelligence News and Analysis
    The AI Daily Brief: Artificial Intelligence News and Analysis

    5

    The AI Daily Brief: Artificial Intelligence News and Analysis

    Nathaniel Whittemore

  • TBPN
    TBPN

    6

    TBPN

    John Coogan & Jordi Hays

  • There Are No Girls on the Internet
    There Are No Girls on the Internet

    7

    There Are No Girls on the Internet

    iHeartPodcasts

Essentials

  • برق مع عبدالله السبع
    Tech News
    Tech News

    Updated 15/10/2020

  • Lew Later
    Technology
    Technology

    Updated daily

  • Tech Life
    Technology
    Technology

    Updated weekly

  • Babbage from The Economist
    Science
    Science

    Updated weekly

  • Decoder with Nilay Patel
    Business
    Business

    Updated weekly

  • Darknet Diaries
    Technology
    Technology

    Monthly

  • TED Radio Hour
    Technology
    Technology

    Updated weekly

  • CA Governor Candidate Steve Hilton on Why California is Destroying Itself & How a Republican Can Win

    1 DAY AGO

    1

    CA Governor Candidate Steve Hilton on Why California is Destroying Itself & How a Republican Can Win

    (0:00) Intro: Steve Hilton is a Republican Brit Running for CA Governor (8:34) Zero Tax Under $100K and a 7.5% Flat Rate: Is It Fiscally Possible? (27:52) Why CA Homes Cost 3x More to Build (Unions, CEQA, and Climate Dogma) (44:50) Why CA Schools Spend the Most but Get the Worst Results (50:02) Crime, Homelessness, and the Failure to Enforce Laws That Already Exist (1:01:34) Can a Republican Actually Win California? Follow Steve: https://x.com/SteveHiltonx Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect

    1 day ago

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    1hr 9min
  • SpaceX-Cursor Deal, SaaS Debt Bomb, New Apple CEO, SPLC Indictment, Colon Cancer Spike

    5 DAYS AGO

    2

    SpaceX-Cursor Deal, SaaS Debt Bomb, New Apple CEO, SPLC Indictment, Colon Cancer Spike

    (0:00) Bestie intros! (4:55) SpaceX-Cursor deal, compute as leverage (18:33) SaaS bloodbath, debt bomb incoming, buy the dip? (46:20) New Apple CEO: John Ternus succeeds Tim Cook, what's next for Apple? (1:00:32) SPLC indictment, out of control NGOs (1:19:03) Science Corner: Potential cause discovered for colon cancer spike in young people Apply for Summit 2026: https://allin.com/events Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://www.bloomberg.com/news/articles/2026-04-21/spacex-says-has-agreement-to-acquire-cursor-for-60-billion https://www.bloomberg.com/news/articles/2026-03-02/cursor-recurring-revenue-doubles-in-three-months-to-2-billion https://techcrunch.com/2026/04/17/sources-cursor-in-talks-to-raise-2b-at-50b-valuation-as-enterprise-growth-surges https://polymarket.com/event/will-spacex-acquire-cursor https://polymarket.com/event/spacex-ipo-by https://x.com/ttunguz/status/2046815725285945820 https://x.com/elonmusk/status/2032201568335044978 https://www.reuters.com/business/thoma-bravo-nears-agreement-turn-software-firm-medallia-over-creditors-source-2026-04-22 https://www.bloomberg.com/news/articles/2026-04-02/blackstone-squeezes-thoma-bravo-and-its-ailing-software-company-medallia https://x.com/Benioff/status/2044981547267395620 https://www.apple.com/leadership/john-ternus https://www.bloomberg.com/news/articles/2026-04-21/apple-bets-new-ceo-john-ternus-will-bring-back-jobs-era-decisiveness https://polymarket.com/event/next-ceo-of-apple https://x.com/joecarlsonshow/status/2046349686253265302 https://x.com/nickshirleyy/status/2043756610955423782 https://www.justice.gov/opa/pr/federal-grand-jury-charges-southern-poverty-law-center-wire-fraud-false-statements-and https://www.justice.gov/opa/media/1437146/dl https://www.vice.com/en/article/2014-vice-news-awards-the-most-offensive-tweet-ubers-white-privilege https://x.com/nickshirleyy/status/2043756610955423782 https://www.nature.com/articles/s41591-026-04342-5

    5 days ago

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    1hr 31min
  • How to Build the Future: Demis Hassabis

    1 DAY AGO

    3

    How to Build the Future: Demis Hassabis

    Demis Hassabis has had one of the most extraordinary careers in tech. He started as a chess prodigy and video game designer at 17 before getting a PhD in neuroscience and going on to found DeepMind. His lab cracked Go, solved protein structure prediction with AlphaFold, and then gave it away free to every scientist on earth. That work won him the 2024 Nobel Prize in Chemistry. Today he leads Google DeepMind, pushing toward the same goal he set as a teenager: AGI. On this special live episode of How to Build the Future, he sat down with YC's Garry Tan to talk about what still needs to happen to get us to AGI, his advice for founders on how to stay ahead of the curve and what the next big scientific breakthroughs might be. Chapters:00:00 — Intro00:46 — Demis Hassabis: From Chess Prodigy to DeepMind01:48 — What’s Missing Before We Get To AGI?03:36 — Why Memory Is Still Unsolved06:14 — How AlphaGo Shaped Gemini08:06 — Why Smaller Models Are Getting So Powerful10:46 — The 1000x Engineer12:40 — Continual Learning and the Future of Agents13:32 — Why AI Still Fails at Basic Reasoning15:33 — Are Agents Overhyped or Just Getting Started?18:31 — Can AI Become Truly Creative?20:26 — Open Models, Gemma, and Local AI22:26 — Why Gemini Was Built Multimodal24:08 — What Happens When Inference Gets Cheap?25:24 — From AlphaFold to the Virtual Cells28:24 — AI as the Ultimate Tool for Science30:43 — Advice for Founders33:30 — The AlphaFold Breakthrough Pattern35:20 — Can AI Make Real Scientific Discoveries?37:59 — What to Build Before AGI ArrivesApply to Y Combinator: https://www.ycombinator.com/applyWork at a startup: https://www.ycombinator.com/jobs

    1 day ago

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    41 min
  • Ferrari

    13 APR

    4

    Ferrari

    Ferrari is the pinnacle of luxury scarcity — across its entire 79-year history, the company has sold just 330,000 cars at an average price today of $500,000. For context, Hermès sells that many Birkins and Kellys roughly every 2 years, and Rolex moves that many watches every 3 months. And yet this ultimate luxury product also lives under the same roof with a widely beloved professional sports team… one with 400 million rabid fans from all walks of life who live and die by the Scuderia’s performance every F1 race weekend! How is it possible that these two seemingly contradictory customer bases can coexist within the same company? And far from destroying each other’s value, only reinforce it? The answer, it turns out, is a beautiful, bloody, tragic and romantic opera that spans two families and three generations — and just might be one of the best tales we’ve ever told on Acquired. Buckle up for the story of Ferrari. Sponsors: Many thanks to our fantastic Spring '26 Season partners: J.P. Morgan PaymentsVercelServiceNowStatsigLinks: Sign up for email updates, get out takeaways and research photos from each episode, and vote on future topics!Our Ferrari "episode preview" in WSJEnzo Ferrari by Luca Dal MonteSeeing Red on IMDbGo Like Hell by A.J. BaimeStephen Wilmot's great WSJ piece on FerrariFerrari factory tourWorldly Partners' Multi-Decade Ferrari StudyAll episode sourcesCarve Outs: Ford v FerrariMaison Wheat sweatersCraighill scissorsAmazon grocery serviceTravelpro Altitude backpackMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00:00 Start00:01:08 Intro00:06:11 Enzo Ferrari's Early Life & Tragedies (1898-1919)00:12:39 Scuderia Ferrari: Enzo's Racing Dream (1920-1933)00:25:08 The Prancing Horse & Ferrari's Branding00:35:41 First Ferrari Road Cars & Le Mans Victory (1947-1949)00:51:31 F1 & The Tragedies of Enzo's Life (1950s)01:14:03 Ford vs. Ferrari: The Le Mans Rivalry (1963-1966)01:21:24 Enzo Sells 50% to Fiat (1969)01:29:10 Luca di Montezemolo's Return to F1 Glory (1971-1976)01:52:40 Ferrari's "Pepsi Challenge" and how Luca rescued the company (1991)02:27:41 Post-IPO Ferrari: New Models & Growth (2015-Present)02:48:24 The FUV Purosangue & Model Range03:07:16 Ferrari Luce: The EV Future with Jony Ive03:12:37 Ferrari Today by the Numbers03:29:39 Analysis03:50:04 Carve-Outs + Thank Yous ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    13 Apr

    •
    3h 59m
  • Reiner Pope – The math behind how LLMs are trained and served

    1 DAY AGO

    5

    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, and some chalk. It’s a bit technical, but I encourage you to hang in there – it’s really worth it. There are less than a handful of people who understand the full stack of AI, from chip design to model architecture, as well as Reiner. It was a real delight to learn from him. Recommend watching this one on YouTube so you can see the chalkboard. Reiner is CEO of MatX, a new chip startup (full disclosure - I’m an angel investor). He was previously at Google, where he worked on software efficiency, compilers, and TPU architecture. Download markdown of transcript here to chat with an LLM. Wrote up some flashcards and practice problems to help myself retain what Reiner taught. Hope it's helpful to you too! Sponsors * Jane Street needs constant access to incredibly low-latency compute. I recently asked one of their engineers, Clark, to talk me through how they meet these demands. Our conversation—which touched on everything from FPGAs to liquid cooling—was extremely helpful as I prepped to interview Reiner. You can watch the full discussion and explore Jane Street’s open roles at janestreet.com/dwarkesh * Google’s Gemma 4 is the first open model that’s let me shut off the internet and create a fully disconnected “focus machine”. This is because Gemma is small enough to run on my laptop, but powerful enough to actually be useful. So, to prep for this interview, I downloaded Reiner’s scaling book, disconnected from wifi, and used Gemma to help me break down the material. Check it out at goo.gle/Gemma4 * Cursor helped me turn some notes I took on how gradients flow during large-scale pretraining into a great animation. At first, I wasn’t sure the best way to visualize the concept, but Cursor’s Composer 2 Fast model let me iterate on different ideas almost instantaneously. You can check out the animation in my recent blog post. And if you have something to visualize yourself, go to cursor.com/dwarkesh Timestamps (00:00:00) – How batch size affects token cost and speed (00:32:09) – How MoE models are laid out across GPU racks (00:47:12) – How pipeline parallelism spreads model layers across racks (01:03:37) – Why Ilya said, “As we now know, pipelining is not wise.” (01:18:59) – Because of RL, models may be 100x over-trained beyond Chinchilla-optimal (01:33:02) – Deducing long context memory costs from API pricing (02:04:02) – Convergent evolution between neural nets and cryptography Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    1 day ago

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    2h 14m
  • Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat

    15 APR

    6

    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, and much more. Enjoy! Watch on YouTube; read the transcript. Sponsors * Crusoe’s cloud runs on state-of-the-art Blackwell GPUs, with Vera Rubin deployment scheduled for later this year. But hardware is only part of the story—for inference, Crusoe’s MemoryAlloy tech implements a cluster-wide KV cache, delivering up to 10x faster TTFT and 5x better throughput than vLLM. Learn more at crusoe.ai/dwarkesh * Cursor helped me build an AI co-researcher over the course of a weekend. Now I have an AI agent that I can collaborate with in Google Docs via inline comment threads! And while other agentic coding tools feel like a total black-box, Cursor let me stay on top of the full implementation. You can try my co-researcher out at github.com/dwarkeshsp/ai_coworker, or get started on your own Cursor project today at cursor.com/dwarkesh * Jane Street spent ~20,000 GPU hours training backdoors into 3 different language models, then challenged my audience to find the triggers. They received some clever solutions—like comparing the base and fine-tuned versions and extrapolating any differences to reveal the hidden backdoor—but no one was able to solve all 3. So if open problems like this excite you, Jane Street is hiring. Learn more at janestreet.com/dwarkesh Timestamps (00:00:00) – Is Nvidia’s biggest moat its grip on scarce supply chains? (00:16:25) – Will TPUs break Nvidia’s hold on AI compute? (00:41:06) – Why doesn’t Nvidia become a hyperscaler? (00:57:36) – Should we be selling AI chips to China? (01:35:06) – Why doesn’t Nvidia make multiple different chip architectures? Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    15 Apr

    •
    1hr 43min
  • 22 Questions with Waveform

    2 DAYS AGO ·  BONUS

    7

    22 Questions with Waveform

    You guys came through! This bonus episode is all questions that you all asked. We got over 1600 questions so we tried to answer all of them! Just kidding, but we did try to answer as many as possible. Follow us on socials: Marques: https://www.threads.net/@mkbhd Andrew: https://www.threads.net/@andrew_manganelli David: https://www.threads.net/@davidimel Adam: https://www.threads.net/@parmesanpapi17 Ellis: https://twitter.com/EllisRovin Waveform Threads: https://www.threads.net/@waveformpodcast Waveform Instagram: https://www.instagram.com/waveformpodcast/?hl=en Waveform TikTok: https://www.tiktok.com/@waveformpodcast Join the Discord: https://discord.gg/mkbhd Intro/Outro music by 20syl: https://bit.ly/2S53xlC Waveform is part of the Vox Media Podcast Network. Learn more about your ad choices. Visit podcastchoices.com/adchoices

    2 days ago · Bonus

    •
    1hr 25min
  • #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution

    23 MAR

    8

    #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution

    Jensen Huang is the co-founder and CEO of NVIDIA, the world’s most valuable company and the engine powering the AI computing revolution. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep494-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/jensen-huang-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: NVIDIA: https://nvidia.com NVIDIA on X: https://x.com/nvidia NVIDIA AI on X: https://x.com/NVIDIAAI NVIDIA on YouTube: https://youtube.com/@nvidia NVIDIA on Instagram: https://www.instagram.com/nvidia/ NVIDIA on LinkedIn: https://www.linkedin.com/company/nvidia/ NVIDIA on Facebook: https://www.facebook.com/NVIDIA/ NVIDIA on GitHub: https://github.com/NVIDIA Nemotron: https://developer.nvidia.com/nemotron SPONSORS: To support this podcast, check out our sponsors & get discounts: Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Quo: Phone system (calls, texts, contacts) for businesses. Go to https://quo.com/lex OUTLINE: (00:00) – Introduction (00:26) – Sponsors, Comments, and Reflections (06:34) – Extreme co-design and rack-scale engineering (09:20) – How Jensen runs NVIDIA (28:41) – AI scaling laws (43:41) – Biggest blockers to AI scaling laws (45:25) – Supply chain (47:20) – Memory (53:25) – Power (58:45) – Elon and Colossus (1:02:13) – Jensen’s approach to engineering and leadership (1:07:38) – China (1:15:51) – TSMC and Taiwan (1:21:06) – NVIDIA’s moat (1:26:43) – AI data centers in space (1:30:31) – Will NVIDIA be worth $10 trillion? (1:40:40) – Leadership under pressure (1:54:26) – Video games (2:01:18) – AGI timeline (2:03:31) – Future of programming (2:17:02) – Consciousness (2:23:23) – Mortality PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podcast/ – Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 – Clips Channel: https://www.youtube.com/lexclips

    23 Mar

    •
  • The AI Subsidy Era is Over

    1 DAY AGO

    9

    The AI Subsidy Era is Over

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  • #495 – Vikings, Ragnar, Berserkers, Valhalla & the Warriors of the Viking Age

    9 APR

    10

    #495 – Vikings, Ragnar, Berserkers, Valhalla & the Warriors of the Viking Age

    Lars Brownworth is a historian, teacher, podcaster, and author specializing in Viking history, medieval Europe, and the Byzantine Empire. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep495-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/lars-brownworth-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Lars’s Website: https://larsbrownworth.com/ The Sea Wolves (book): https://www.amazon.com/Sea-Wolves-History-Vikings/dp/1909979120 Lars’s Books: https://amzn.to/4sHY0xw 12 Byzantine Rulers Podcast : https://12byzantinerulers.com/ Norman Centuries Podcast: https://apple.co/4sgSxNi SPONSORS: To support this podcast, check out our sponsors & get discounts: Larridin: Measure AI adoption in your business. Go to https://larridin.com BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:03) – Sponsors, Comments, and Reflections (08:57) – The start of the Viking Age (18:50) – Viking military strategy, tactics & technology (32:33) – Ragnar Lothbrok (42:00) – The Great Heathen Army (46:42) – Rollo and Normandy (56:54) – Viking religion and Valhalla (1:07:25) – Viking explorers (1:12:33) – Vikings in North America (1:25:55) – Vikings in the East (1:45:33) – Byzantine Empire (1:54:17) – History and human nature PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podcast/ – Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 – Clips Channel: https://www.youtube.com/lexclips

    9 Apr

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    2h 10m

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