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  • Elon's Anthropic Deal, The Next AI Monopoly?, "FDA for AI" Panic, Trading the AI Boom

    2 DAYS AGO

    1

    Elon's Anthropic Deal, The Next AI Monopoly?, "FDA for AI" Panic, Trading the AI Boom

    (0:00) Bestie intros! Thoughts on the LA mayor election (4:38) SpaceX-Anthropic deal, Elon Web Services, SpaceX IPO valuation, Anthropic's insane growth trajectory (26:48) Is Anthropic the next great monopoly? Early signals or major overreaction? (35:21) "FDA for AI" freakout, how the White House thinks about AI safety (52:01) Flipping AI's negative perception: Giving, healthcare and education innovation (1:00:04) Trading the AI market, state of the economy 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 https://x.com/altcap 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://x.com/WallStreetApes/status/2052413443739951366 https://www.anthropic.com/news/higher-limits-spacex https://x.com/elonmusk/status/2052073463029055926 https://x.com/shaunmmaguire/status/2052075296002625942 https://x.ai/news/anthropic-compute-partnership https://www.realtor.com/news/trends/nvidia-pultegroup-span-date-center-backyard https://www.gradesaver.com/there-will-be-blood/study-guide/a-brief-history-of-standard-oil https://www.nytimes.com/2026/05/04/technology/trump-ai-models.html https://x.com/SusieWiles47/status/2052192419718783246 https://www.nytimes.com/2026/05/05/business/dealbook/trump-ai-regulation.html https://www.whitehouse.gov/wp-content/uploads/2026/03/03.20.26-National-Policy-Framework-for-Artificial-Intelligence-Legislative-Recommendations.pdf https://x.com/ahall_research/status/2052042535661691282 https://x.com/SenSanders/status/2052116733683470556

    2 days ago

    •
    1hr 22min
  • Радио-Т 1012

    1 DAY AGO

    2

    Радио-Т 1012

    00:00:00 Вступление 00:39:41 Неожиданный союз Claude и SpaceX 01:01:34 Просто используй Go 01:19:55 Программирование не было узким местом 01:30:58 Вибрационная магия сливается с ИИ программированием 01:56:39 Темы слушателей аудио • лог чата

    1 day ago

    •
  • 201: Claude Design imasi dizainerių darbo

    30 APR

    3

    201: Claude Design imasi dizainerių darbo

    Humanoidinis robotas pusmaratonį nubėgo greičiau nei žmogaus pusmaratonio pasaulio rekordas. Polymarket laimėjimas virto tyrimu: ar kas nors specialiai šildė temperatūros jutiklį? OpenAI išleido GPT-5.5, ChatGPT Images 2.0 ir naujus AI agentus, galinčius dirbti kompiuteriu. Anthropic pristatė Claude Design – įrankį dizaineriams. Kiek jis jiems padės, o kiek pradės juos keisti? Apple vadovu taps Johnas Ternusas – kas keisis Timui Cookui traukiantis iš CEO posto? Internetas ginčijasi dėl Palantir 22 punktų manifesto. DeepSeek V4 pretenduoja į didžiausio atvirų svorių AI modelio titulą. Meta rinks darbuotojų veiksmus kompiuteryje, kad mokytų savo AI modelius. O Kinija blokavo Meta 2 mlrd. dolerių sandorį dėl AI agentų startuolio Manus.

    30 Apr

    •
    1hr 6min
  • Can the U.S. Rein in Prediction Markets? + Joanna Stern on Her Year of A.I. Experiments + Our Producer Goes to Attention School

    2 DAYS AGO

    4

    Can the U.S. Rein in Prediction Markets? + Joanna Stern on Her Year of A.I. Experiments + Our Producer Goes to Attention School

    This week we’re taking another look at prediction markets and a new series of scandals. Is Congress finally ready to rein them in? Then, the journalist Joanna Stern returns to the show to discuss her new book “I Am Not A Robot,” all about turning her life over to a chatbot for a year. And finally, Hard Fork’s Rachel Cohn reports back on her month attending classes at the Strother School of Radical Attention, the center of a movement to resist the commodification of attention by technology companies.   Guests:  Joanna Stern, chief everything officer at New Things Rachel Cohn, producer of “Hard Fork”   Additional Reading: Soldier Used Classified Information to Bet on Maduro’s Ouster, U.S. Says Soldier Pleads Not Guilty in $400,000 Betting Case Over Maduro’s Ouster French weather service alerts police to tampering after suspicious Polymarket bets The Multi-Trillion-Dollar Battle for Your Attention Is Built on a Lie   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.

    2 days ago

    •
    1hr 12min
  • #496 – FFmpeg: The Incredible Technology Behind Video on the Internet

    4 DAYS AGO

    5

    #496 – FFmpeg: The Incredible Technology Behind Video on the Internet

    Jean-Baptiste Kempf is lead developer of VLC and president of VideoLAN. Kieran Kunhya is a longtime FFmpeg contributor, codec engineer, and the person behind the now-infamous FFmpeg account on X. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep496-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/ffmpeg-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: FFmpeg on X: https://x.com/FFmpeg FFmpeg: https://ffmpeg.org/ VideoLAN (VLC): https://www.videolan.org/ VideoLAN on X: https://x.com/videolan Jean-Baptiste’s Website: https://jbkempf.com/ Jean-Baptiste’s LinkedIn: https://www.linkedin.com/in/jbkempf/ Jean-Baptiste’s GitHub: https://github.com/jbkempf Kieran’s X: https://x.com/kierank_ Kieran’s LinkedIn: https://bit.ly/3OORhmC Kieran’s GitHub: https://github.com/kierank SPONSORS: To support this podcast, check out our sponsors & get discounts: Larridin: Measure AI adoption in your business. Go to https://larridin.com Blitzy: AI agent for large enterprise codebases. Go to https://blitzy.com/lex BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (03:00) – Sponsors, Comments, and Reflections (10:48) – Weirdest things VLC opens (15:12) – How video playback works (24:33) – Video codecs and containers (35:20) – FFmpeg explained (56:20) – Linus Torvalds (1:00:59) – Turning down millions to keep VLC ad-free (1:15:17) – FFmpeg & Google drama (1:34:31) – FFmpeg developers (1:41:08) – VLC and FFmpeg (1:45:42) – History of FFmpeg (1:48:59) – Reverse engineering codecs (2:02:14) – FFmpeg testing (2:06:21) – Assembly code (handwritten) (2:30:39) – Rust programming language (2:39:55) – FFmpeg and Libav fork (2:48:17) – Open source burnout (2:56:04) – x264 and internet video (3:09:20) – Video compression basics (3:16:17) – CIA and fake VLC (3:26:52) – Ultra low latency streaming (3:44:20) – AV2 codec and video patents (3:54:12) – VLC backdoors (4:04:27) – Video archiving (4:11:04) – Future of FFmpeg and VLC

    4 days ago

    •
    4h 24m
  • Ferrari

    13 APR

    6

    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
  • Apple Might Owe You Money!

    2 DAYS AGO

    7

    Apple Might Owe You Money!

    Not a lot happened this week but we still somehow yapped for almost two hours about everything from Apple paying out for misleading customers about Apple Intelligence to whether it's pronounced "Read receipts" or "Read receipts." It's a good mix of news, games, and rants this week. Enjoy! Links: Bloomberg - Apple Intelligence AI Models for different features Verge - Apple paying iPhone users for bad AI Siri Verge - Google Home Gemini can now do more complicated requests Foundation Disc Golf Creators Cup Caira camera Google on X - Android Show David's viral post 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 Mariah: ⁠https://www.instagram.com/totallynotabusinessacc/⁠ 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

    •
    1hr 54min
  • Радио-Т 1011

    2 MAY

    8

    Радио-Т 1011

    00:00:00 Вступление 00:32:51 Ghostty уходит с GitHub 00:49:21 Проблемы с доступностью GitHub 01:06:51 Как сделать правильный GitHub 01:22:02 Zig как последний бастион без AI 01:39:57 Copy Fail 01:53:28 OpenAI пришли на Amazon Bedrock 02:00:21 Zed теперь 1.0 02:06:06 Темы слушателей аудио • лог чата

    2 May

    •
  • Turn Left at the Next Tree

    2 DAYS AGO

    9

    Turn Left at the Next Tree

    Pre-show: Two thirds of your hosts are sick 🤧 Follow-up: Backblaze & cloud backups Carbon Copy Cloner & Backblaze (via Barry Rubenstein) Support document Maestral Arq’s approach (via Daniel Luz) Neo-ing… other things Mythos What makes this different (via William Moran) GPT-5.5 is equivalent? cURL security/bug reports Severe Linux security issue uncovered using AI AI is still ruining everything See also: MacBook Neo More from Tim Culpan An examination of Apple’s CapEx Apple’s R&D spending hits new record SG&A MG Siegler’s take Project Titan died in Febraury 2024 Ultra all the things iPhone Ultra MacBook Ultra AirPods Ultra iPad Ultra Apple Watch Ultra 4 Mac Ultra iMac Ultra Ask ATP: What size drive should one get for Time Machine? (via Pat Murphy) Post-show: Marco’s Great Saunter Ashokan Rail Trail Saunter Map App Pedometer++ Suunto Race S Titanium Barkley Marathons Documentary trailer Members-only ATP Overtime: Adobe has also forgotten how to make good software Jason’s take Foster Brereton somebehemoth Neywiny Sponsored by: Factor: Healthy eating, made easy. DeleteMe: Making it quick, easy and safe to remove your personal data online. Become a member for ATP Overtime, ad-free episodes, member specials, and our early-release, unedited “bootleg” feed!

    2 days ago

    •
    1hr 55min
  • David Reich – Why the Bronze Age was an inflection point in human evolution

    2 DAYS AGO

    10

    David Reich – Why the Bronze Age was an inflection point in human evolution

    David Reich is back. He and collaborator Ali Akbari just published a paper that overturns a long-standing consensus about human evolution — that natural selection has been dormant in our species since the agricultural revolution. By scaling ancient DNA sequencing and developing a new statistical method, they found that selection has actually sped up. Selection went especially bonkers during the Bronze Age (around 3,000 years ago). That’s when gene frequencies for everything from immune function to body fat to intelligence were most in flux. Over the last 10,000 years, selection pushed the genetic predictor of cognitive performance up by roughly a full standard deviation — most of it between 4,000 and 2,000 years ago. After we finished recording, David sketched out on a whiteboard his new heretical model about who the Neanderthals really were. Luckily, I took out my iPhone and managed to record it. He thinks the standard story (that Neanderthals are some separate archaic lineage we interbred with a little) just doesn’t fit the evidence. Instead, he proposes that Neanderthals are essentially genetically-swamped modern humans. A small population somewhere around the Caucasus invented Middle Stone Age technology roughly 300,000 years ago and expanded outward. The ones that moved into Europe interbred with local archaic humans, got genetically swamped, and became Neanderthals. The same expansion went into Africa, met much more diverged archaic Africans, and that mixture became us. This means Neanderthals and modern humans share the same cultural ancestry — the only difference is which archaic humans they mixed with afterward. David is a brilliant and rigorous scholar. It was a real delight to learn from him again. Watch on YouTube; read the transcript. Sponsors * Cursor was super useful as I prepped for this episode. Whenever I had a question, I’d have Cursor kick off a few different models simultaneously and then compare their responses. I found that this led to better results than I could get out of any individual LLM. If you’ve only used Cursor for coding, you should try using it for research. Check it out at cursor.com/dwarkesh * Jane Street uses an internal currency called “hive bucks” to allocate compute through a real-time auction – and anyone can change anyone else’s bids or even kill their jobs! Everyone just trusts each other to act in the firm’s best interest, which is what lets the system work in the first place. If this weird and high-trust culture sounds like your kind of thing, Jane Street’s hiring at janestreet.com/dwarkesh * Crusoe’s ML infra team built fastokens, an open-source tokenizer that delivers a ~9x speedup over Hugging Face and up to 40% faster time-to-first token – on real production workloads! Crusoe achieved these results by parallelizing things and using some clever engineering to handle duplicates without cross-thread coordination. Learn more at crusoe.ai/dwarkesh Timestamps (00:00:00) – Ancient DNA suggests strong selection over last 10,000 years (00:15:45) – Natural selection intensified during the Bronze Age (00:35:02) – Why didn’t evolution max out intelligence? (00:57:21) – Evolution is limited by time, not population size (01:09:02) – Why no farming before the Ice Age? (01:17:13) – The Neanderthal puzzle David can’t stop thinking about (01:54:10) – The methodology behind this breakthrough Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

    2 days ago

    •
    2h 13m

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  • Montenegro
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  • Ukraine
  • United Kingdom

Latin America and the Caribbean

  • Anguilla
  • Antigua and Barbuda
  • Argentina (Español)
  • Bahamas
  • Barbados
  • Belize
  • Bermuda
  • Bolivia (Español)
  • Brasil
  • Virgin Islands, British
  • Cayman Islands
  • Chile (Español)
  • Colombia (Español)
  • Costa Rica (Español)
  • Dominica
  • República Dominicana
  • Ecuador (Español)
  • El Salvador (Español)
  • Grenada
  • Guatemala (Español)
  • Guyana
  • Honduras (Español)
  • Jamaica
  • México
  • Montserrat
  • Nicaragua (Español)
  • Panamá
  • Paraguay (Español)
  • Perú
  • St. Kitts and Nevis
  • Saint Lucia
  • St. Vincent and The Grenadines
  • Suriname
  • Trinidad and Tobago
  • Turks and Caicos
  • Uruguay (English)
  • Venezuela (Español)

The United States and Canada

  • Canada (English)
  • Canada (Français)
  • United States
  • Estados Unidos (Español México)
  • الولايات المتحدة
  • США
  • 美国 (简体中文)
  • États-Unis (Français France)
  • 미국
  • Estados Unidos (Português Brasil)
  • Hoa Kỳ
  • 美國 (繁體中文台灣)