Technology

Hard Fork

1

Hard Fork

The New York Times
Acquired

2

Acquired

Ben Gilbert and David Rosenthal
Lex Fridman Podcast

3

Lex Fridman Podcast

Lex Fridman
Dwarkesh Podcast

4

Dwarkesh Podcast

Dwarkesh Patel
TED Radio Hour

5

TED Radio Hour

NPR
Lenny's Podcast: Product | Career | Growth

6

Lenny's Podcast: Product | Career | Growth

Lenny Rachitsky
TBPN

7

TBPN

John Coogan & Jordi Hays

6 DAYS AGO

1

Tim Cook’s Legacy + The Future of U.B.I. With Andrew Yang + HatGPT

This week, Tim Cook announced he would step down as chief executive of Apple. We discuss what he got right and what he got wrong, and we offer some unsolicited advice for his replacement, John Ternus. Then, Andrew Yang joins us to discuss A.I.-powered job automation and why universal basic income may be making a comeback. And finally, we catch up on more recent tech news with a round of HatGPT. Guest: Andrew Yang, chief executive of Noble Mobile and author of “Hey Yang, Where’s My Thousand Bucks?” Additional Reading: Tim Cook Will Step Down as Apple C.E.O. Who Is John Ternus, Apple’s Low-Profile Leader? Why U.B.I. Is Making a Comeback His 2020 Campaign Message: The Robots Are Coming This Pasta Sauce Wants to Record Your Family Chinese Robot Beats Human Best Time in Half-Marathon, After a Stumble What Happens When A.I. Runs a Store in San Francisco? Meta to Start Capturing Employee Mouse Movements, Keystrokes for A.I. Training Data SpaceX Strikes Deal With Cursor for $60 Billion OpenAI Beefs Up ChatGPT’s Image Generation Model We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

6 days ago

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1hr 15min
6 DAYS AGO

2

Can we preserve knowledge … forever?

Information feels more accessible than ever, but the ways we store data are surprisingly fragile. Can we save anything forever? This hour, TED speakers explore preserving our past, present and future. Guests include game designer CM Ralph, digital librarian Brewster Kayle, molecular biologist Dina Zielinksi and archeologist Chris Fisher. Original air date: January 27, 2023 TED Radio Hour+ listeners now get access to bonus episodes, with more ideas from TED speakers and deeper conversations with Manoush. By signing up for Plus, you directly support our work and public media, so all your episodes (like this one!) come to you without sponsor breaks. Learn more at plus.npr.org/ted. See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy

6 days ago

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50 min
3 DAYS AGO

3

How Do I Build “Cognitive Fitness”? | Monday Advice

In his recent New York Times essay, Cal argued for a “cognitive fitness” revolution to resist the onslaught of digital tools degrading our ability to think. But how does one actually strengthen their brain? In this episode, Cal details a sustainable cognitive fitness routine built around five key components. Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Send an email to podcast@calnewport.com. Video from today’s episode: youtube.com/calnewportmedia 2:25 DEEP DIVE: How Do I Build “Cognitive Fitness”? | Monday Advice INBOX: 30:51 Message from a social media influencer 33:02 Reaction to Amy Timberlake interview 38:01 Putting Cal’s advice into practice WHAT CAL IS UP TO: 41:20 What I read 43:45 What I’m doing Books: The Noonday Devil (by Jean-Charles Nault: translated from original French) Links: Buy Cal’s latest book, “Slow Productivity” at www.calnewport.com/slow Get a signed copy of Cal’s “Slow Productivity” at https://peoplesbooktakoma.com/event/cal-newport/ Cal’s monthly book directory: bramses.notion.site/059db2641def4a88988b4d2cee4657ba? https://www.youtube.com/watch?v=PdvqpqHSQas https://www.nytimes.com/2026/03/27/opinion/technology-mental-fitness-cognitive.html https://www.newyorker.com/culture/annals-of-inquiry/what-kind-of-writer-is-chatgpt https://i0.wp.com/www.americamagazine.org/wp-content/uploads/2023/10/MertonCover.jpeg-427330.jpeg?w=992&ssl=1 https://www.nytimes.com/2019/01/25/opinion/sunday/steve-jobs-never-wanted-us-to-use-our-iphones-like-this.html https://anjalibanerjee.com/paws-and-platen/from-typewritten-draft-to-published-page Thanks to our Sponsors: https://www.calderalab.com/deep https://www.vanta.com/deepquestions https://www.shipstation.com/deep https://www.zapier.com/deep Thanks to Jesse Miller for mastering and production, Jay Kerstens for the intro music, and Nate Mechler for research and newsletter. Learn more about your ad choices. Visit podcastchoices.com/adchoices

3 days ago

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52 min
5 DAYS AGO

4

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
13 APR

5

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

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3h 59m
1 DAY AGO

6

蔡康永×罗永浩！在残酷的世界寻找自在与和解、保持慈悲与真实

《十字路口》播客节目简介本节⽬是⼀档由罗永浩主持的深度播客类节⽬，每集长达三到五个小时。我们与时代浪潮中的⼈物展开对话，聚焦于科技与⼈⽂领域，讲述个体命运故事，探讨时代发展趋势。本期嘉宾：蔡康永《罗永浩的十字路口》第二十六期。这次请到的嘉宾，是我的偶像，整个华语主持界公认最会说话的人——蔡康永。蔡康永和小S联合主持的近3000期《康熙来了》，是全球华人娱乐世界的精神避风港，是中文综艺界前无古人后无来者的绝对标杆，也是全球非中文世界人民永远的人生缺憾。在文艺界，大家总讨论什么样的作品能够真正打败时间，但我相信从来没有人想过，一个通常被认为不入流的电视综艺节目，竟然能一口气把上世纪的六零后到新世纪的零零后，五代人全部搞定，而且借助短视频平台，《康熙来了》正在奇迹般地，不可阻挡地，海量转化一零后的年轻观众。蔡康永老师的情商课系列三部曲也是整个中文世界的超级畅销书，我的桌上放的，就是他情商三部曲的最后一本《你愿意，人生就会值得》。很多人误以为他的书是心灵鸡汤，其实这是一个非常大的误解。蔡康永老师的文字跟心灵鸡汤最大的区别是，“它会在承认衰亡和虚无的前提下探讨积极选择，这使得他的作品不是那种麻痹神经的廉价迷幻药，而是现代人在精神荒野中行路时的罗盘。”这次的对谈，我有幸和蔡康永老师聊了足足四个多小时，我们聊到了很多他从未公开触碰过的话题和内容，关于他的创作和生活的近况，关于敏感的心灵如何在时代剧变的背景下自处，关于直面中老年以及死亡的地狱话题，以及我们该如何提前练习跟这个世界优雅地告别等等。虽然谈到了很多全新的话题，但他还是你熟悉的那个独一无二的、艺人外壳、知识分子底色的蔡康永，还是那个在残酷的世界平静地寻找自在与和解、保持慈悲和真实的敏感灵魂。【你将听到】 00:02:33聊聊近况00:13:11仍在写作00:23:45两老头论片00:33:28回应《康熙》不好看00:46:22烂书推荐语00:53:16绝非心灵鸡汤01:10:42电影票房扑街01:23:42《康熙来了》01:48:43艺术展02:06:05深入讨论AI02:20:12中年心理危机02:41:13遗嘱、死亡和葬礼03:13:07理想的告别03:34:32推荐嘉宾欢迎关注：微博 @罗永浩的十字路口 B站 @罗永浩的十字路口抖音 @罗永浩的十字路口小红书 @罗永浩的十字路口商务合作：欢迎发送邮件至 jayci_chen@163.com

1 day ago

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3h 36m
4 DAYS AGO

7

Snapchat CEO: Why distribution has become the most important moat | Evan Spiegel

Evan Spiegel, the co-founder and CEO of Snap, is one of the very few people in the world who has successfully built and scaled a lasting consumer social product. Snapchat has nearly 1 billion MAUs, and Evan and his team invented some of the most important consumer products and features, including Stories, AR glasses, swipe-based navigation, the camera as the primary UX, and a lot more. In our in-depth conversation, we discuss: 1. Why distribution is now the biggest challenge for creating a consumer technology business 2. How Snap innovates at scale with a 9-to-12-person design team: no titles, no hierarchy, hundreds of ideas reviewed weekly with the CEO 3. Why a pure software business is no longer a moat, and what actually creates durable competitive advantages today 4. How AI is changing the way designers work and why they’re now shipping code 5. Why every major Snap feature was copied and how that forced the company to work differently 6. Evan’s prediction that humanity’s comfort with AI will be a bigger bottleneck than the technology itself 7. This year’s crucible moment for Snap — Brought to you by: WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/snapchat-ceo-why-distribution-is — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Evan Spiegel: • X: https://x.com/evanspiegel • Snapchat: https://www.snapchat.com/@evan • LinkedIn: https://www.linkedin.com/in/evan-spiegel • Website: https://www.spiegelfamilyfund.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Evan Spiegel (02:28) Why consumer social products are so hard to build (04:31) How Snapchat cracked distribution with close friends, not network size (05:50) Why distribution is the new moat in the AI era (08:39) Snapchat’s innovation track record (and why software isn’t a moat) (11:39) Why Snap is betting on two of the hardest businesses: consumer social and hardware (16:00) Specs use cases (17:56) The innovation process (21:34) The velocity of design work at Snapchat (25:07) Why Evan says you must talk to customers (26:06) The origin story of Stories (28:25) How screenshot detection saved early Snapchat (31:03) Why they waited to hire PMs—and what role they play now (34:41) How AI is shifting the designer-PM-engineer triad (36:10) Design as an intentional bottleneck for product cohesion (37:24) Why staying close to customers matters for any leader (39:39) What Evan looks for when hiring designers (41:57) How to develop young design talent (44:16) Designers shipping code with AI—and the guardrails needed at scale (47:20) Using jobs-to-be-done to organize AI transformation (48:50) How the CEO job has changed over 15 years (51:30) Learning to communicate (54:08) Why this year is Snapchat’s “crucible moment” (56:22) Being the “middle child” in tech (57:51) Screen-time philosophy with four kids (ages 2 to 15) (1:01:08) AI Corner (1:04:02) Contrarian Corner (1:06:04) Lightning round and final thoughts — References: https://www.lennysnewsletter.com/p/snapchat-ceo-why-distribution-is — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

4 days ago

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1hr 10min
23 HR AGO

8

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

23 hr ago

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2h 14m
17 APR

9

A.I. Backlash Turns Violent + Kara Swisher on Healthmaxxing + The Zuck Bot Is Coming

This week, amid violent attacks on the homes of the OpenAI chief executive Sam Altman and the Indianapolis councilman Ron Gibson, we debate why artificial intelligence and data centers are so unpopular. Then, Kara Swisher returns to the show to discuss her new docuseries on Silicon Valley’s obsession with living longer. And finally, can chief executives replace themselves with A.I.? Mark Zuckerberg seems to be trying. Guests: Kara Swisher, tech journalist and host of the podcasts “Pivot” and “On With Kara Swisher.” Additional Reading: Shots Fired at Indianapolis Councilman’s Home, After Vote Backing Data Center Man Held in Attack on OpenAI Chief’s Home Had List of A.I. Leaders, Officials Say Kara Swisher Wants to Live Forever Meta Builds A.I. Version of Mark Zuckerberg to Interact With Staff We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

17 Apr

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1hr 3min
1 DAY AGO

10

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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