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과학 기술

  • Hard Fork
    Hard Fork

    1

    Hard Fork

    The New York Times

  • Acquired
    Acquired

    2

    Acquired

    Ben Gilbert and David Rosenthal

  • Lenny's Podcast: Product | Career | Growth
    Lenny's Podcast: Product | Career | Growth

    3

    Lenny's Podcast: Product | Career | Growth

    Lenny Rachitsky

  • TED Tech
    TED Tech

    4

    TED Tech

    TED Tech

  • Dwarkesh Podcast
    Dwarkesh Podcast

    5

    Dwarkesh Podcast

    Dwarkesh Patel

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

    6

    All-In with Chamath, Jason, Sacks & Friedberg

    All-In Podcast, LLC

  • TED Radio Hour
    TED Radio Hour

    7

    TED Radio Hour

    NPR

  • Disney: The Renaissance and the Empire

    8월 10일

    Disney: The Renaissance and the Empire

    In 1984, the Walt Disney Company was worth more dead than alive. Disney Animation — the heart of Walt's famous flywheel — had stagnated for years, bleeding away talent while corporate raiders circled, salivating over offers to sell off the film library to MGM and offload the parks to hotel operators. But what followed instead was the greatest turnaround in media history under Michael Eisner and Frank Wells. Beauty and the Beast. The Lion King. Broadway. Bringing the Disney Vault home on VHS and DVD. And the greatest media acquisition of all time — ESPN. And then... it all almost fell apart. Again. Euro Disney turned into a money pit. Boardroom and executive infighting ran rampant. Animation descended into a dumpster fire. (Remember Chicken Little? Us neither.) Comcast — Comcast!! — tried to steal the company via a hostile takeover. Out of the chaos, a new generation of Disney management emerged under Bob Iger to stage yet another epic comeback with Pixar, Marvel and Lucasfilm, creating the defining media empire of the 21st century…until the tech companies came along. Tune in for the ultimate Acquired thrill ride: Disney, Part II. Sponsors: Many thanks to our fantastic Fall '26 Season partners: SierraSentryWorkOSAnthropicLinks: Sign up for email updates, get our takeaways and research photos from each episode, and vote on future topics!The Official Acquired Meetup on Sept 17th with our friends at Sentry. Join us!The Acquired Disney Part II Companion PDFThe Acquired Disney Part II Artifacts visual hubOur Disney Part II column in WSJWorldly Partners' Multi-Decade Disney StudyAll episode sourcesCarve Outs: Warby Parker Transitions Extra ActiveMichael Arndt's Toy Story 3 Story PresentationThe Golden State ValkyriesMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00:00 Start00:00:50 Intro00:05:07 Disney in Chaos (1984)00:11:33 Eisner, Wells, Katzenberg Arrive (1984)00:24:30 Animation Renaissance & CAPS Tech (1989)00:37:33 Flywheel Extensions: Home Video, Retail & Broadway00:54:32 Challenges & ABC/ESPN Acquisition (1994-1995)01:05:55 ESPN: Disney's Accidental Goldmine01:21:26 Eisner's Decline & Save Disney Campaign (2001-2004)01:34:53 Comcast Hostile Takeover Bid (2004)01:41:58 Bob Iger's Vision & Pixar Acquisition (2005-2006)01:52:17 Pixar: From Lucasfilm to Steve Jobs (1979-1995)02:03:11 Toy Story, IPO & Eisner Conflict (1995)02:34:30 Disney Acquires Pixar (2006)02:46:37 Marvel & Lucasfilm Acquisitions (2009-2012)02:58:01 Streaming Pivot: Cord Cutting & BAMTech (2015)03:06:30 The Disney+ Strategy & FOX Acquisition (2017-2019)03:19:01 The Disney+ Launch, COVID, & Chapek's Tenure (2019-2022)03:42:15 Iger's Return, Challenges & Parks Revival (2022-2026)03:50:54 The Business Today: Parks & Streaming Focus03:59:22 Analysis: Disney+ Strategy & The New Media Landscape04:10:01 Analysis: Bull/Bear Cases04:21:20 Quintessence04:24:39 Carve-Outs + Outro ‍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.

  • Meta Shifts the Blame + Do Data Center Bans Work? + The Final HatGPT

    6일 전

    Meta Shifts the Blame + Do Data Center Bans Work? + The Final HatGPT

    This week, Meta agreed to pay up to $17.1 billion and make major changes to Facebook and Instagram over claims it endangered children with addictive social media platforms. We discuss why it capitulated and what it means for the entire social media industry. Then, Princeton computer science professor Arvind Narayanan returns to offer his thoughts on why banning data centers won’t slow down A.I. progress. And finally, it’s all hats on deck for the final HatGPT. Guests: Arvind Narayanan, professor of computer science at Princeton, and co-author of the “A.I. as Normal Technology” newsletter. Additional Reading: Meta to Pay Up to $17.1 Billion in Landmark Settlement Over Social Media Addiction Claims Mark Zuckerberg Wants to Make Sure His Competitors Share His Pain Arvind Narayanan’s Post About A.I. Data Centers Apple Vision Pro in Surgery: A New Paper Rockstar Finally Breaks Its Silence Over The GTA 6 Leaks, Calls Them ‘Heartbreaking’ Amazon Delivery Drone Dumps Texas Woman’s Parcel Straight Into Her Swimming Pool What if Your Texts Traveled as Slowly as a Carrier Pigeon? A.I. Agents Are Turning Founders Into Insomniacs What is a ‘Meat Proxy’? The New Term For Coworkers Who Blindly Share A.I. Output Chinese Robot Tiangong Clocks Sub-9 second 100 Metres in Beijing Inside OpenAI’s Reboot 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.

  • Nvidia's Historic Quarter, SaaS Comeback, Bessent vs Druck, America's Debt Crisis, Cancer Vaccine

    6일 전

    Nvidia's Historic Quarter, SaaS Comeback, Bessent vs Druck, America's Debt Crisis, Cancer Vaccine

    (0:00) Bestie intros: Recapping recent interviews and the state of American science (3:31) China's Robot Olympics, Optimus update, Grok Bot (9:05) Nvidia and Salesforce rip after big earnings: AI Capex Bubble and SaaSpocalypse narratives get reversed (33:32) Bessent gets called out by Druckenmiller for bond market interference (1:01:33) AI writing controversy: Druck used AI to write his WSJ Op-ed (1:15:00) CIA Chief visits Moscow, Meta's settlement and new teen rules (1:22:52) Science Corner: Moderna's mRNA cancer vaccine Come hang with the Besties at the All-In Summit | September 13-15: http://theallinsummit.com 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/@allin 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.cnbc.com/2026/08/27/nvidia-nvda-q2-earnings.html https://finance.yahoo.com/markets/stocks/article/how-nvidia-silenced-the-bears-105017893.html https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-second-quarter-fiscal-2027 https://polymarket.com/event/largest-company-end-of-december-2026 https://www.cnbc.com/2026/08/18/treasury-yields-.html https://www.cnbc.com/2026/08/24/bessent-1-trillion-treasury-general-account-bond-buybacks.html https://seekingalpha.com/news/4636322-wall-street-sees-bessent-putting-fear-of-god-into-bond-vigilantes https://www.wsj.com/opinion/let-the-bond-market-speak-81529d74 https://www.wsj.com/world/cia-director-john-ratcliffe-makes-surprise-trip-to-moscow-c1c68fa6 https://polymarket.com/event/russia-x-ukraine-ceasefire-agreement-by

  • 罗永浩的X字路口!我们能活到今天,多亏了祖传的势利眼

    8월 6일

    罗永浩的X字路口!我们能活到今天,多亏了祖传的势利眼

    《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:呼兰、继业、小块、小镟 你是校长,可以破格录取一人,你会选天资聪颖的穷孩子,还是资质平平却能给学校捐楼的富二代?你是船员,救生艇上的位置只能再救一个人,你选择救一个正常智力的孩子,还是一个智障的孩子?你是老板,你的公司经营不善,你为了稳定军心跟员工假装乐观,还是告诉他们可怕的真相?你是想获得晋升机会的员工,被老板临时约饭,这时候你会爽约自己的穷哥们儿吗? 这一期《罗永浩的X字路口》,看这些考验人性的痛苦问题,如何被块神,谈笑间,纠结灰飞烟灭。 【你将听到】 00:04:00 聊聊势利眼 00:09:55 如何正确押宝 00:26:24 人类生存哲思问题 00:53:59 小块面对势利眼 01:23:24 权力的幻觉 01:45:19 教育公平难题 02:01:57 不诚实的领导 02:42:16 情人节是骗局吗 ❤️参与录制: 公众号关注「罗永浩的十字路口」,点击菜单“观众招募”,就有机会进入观众招募群,希望下一次录制看到你的身影。 🙋话题征集: 公众号关注「罗永浩的十字路口」,写下你最想听的话题内容,比如“情绪稳定”,就有机会成为我们下期的讨论主题。 👩🏻‍💻了解更多: 微博 @罗永浩的十字路口 小红书 @罗永浩的十字路口 抖音 @罗永浩的十字路口 B站 @罗永浩的十字路口 🤝商务合作: 欢迎戳戳 jayci_chen@163.com

  • AI’s third era: the rise of persistent AI coworkers | Tara Seshan (Product Lead ChatGPT Work)

    4일 전

    AI’s third era: the rise of persistent AI coworkers | Tara Seshan (Product Lead ChatGPT Work)

    Tara Seshan leads product for Codex and ChatGPT Work at OpenAI (alongside previous podcast guest Andrew Ambrosino, who’s her engineering manager). Before OpenAI, Tara spent over six years at Stripe, where she joined as one of the first five product managers. She went on to lead product for Watershed, which Time magazine named one of the best inventions of 2022, and she is also a founder and Thiel Fellow. Most personally meaningful to me: Tara is one of the three inaugural Lenny’s Newsletter Fellows, a program I ran a couple of years ago to spotlight the most exciting up-and-coming product leaders. In our in-depth conversation, we discuss: 1. The shift from “rowing” to “steering,” and why human judgment and ambition will become differentiators as AI takes on execution 2. How OpenAI thinks about building for model capabilities two to three months out 3. OpenAI’s best internal memes, such as “Is this maximally accelerated?” and “Are you mainlining it yet?” 4. Why ambition is the new bottleneck for companies, and why elevating others’ ambitions is now the key part of the PM job 5. Writing as thinking vs. writing as reporting — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Mercury—Radically different banking, now with Command — Where to find Tara Seshan: • X: https://x.com/tarstarr • LinkedIn: https://www.linkedin.com/in/tarstarr • Newsletter: https://substack.com/@taraseshan — 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 (02:18) What makes OpenAI’s culture so different (06:42) Why AI product strategy is all about fast experimentation (09:02) How the PM role is changing (10:50) The shift from rowing to steering (15:35) What changes when agents become coworkers (20:05) Why ambition matters more than ever (26:39) Building products for models that do not exist yet (29:21) How ChatGPT’s Chat and Work modes differ (34:01) How OpenAI ships so quickly at scale (39:14) The vibe shift happening inside Codex (42:20) Why traditional roles are beginning to blur (45:59) Where humans will continue to provide unique value (48:20) How Tara uses AI in her own work (51:38) The magic of the /visualize command (52:39) Writing to think versus writing to report (57:10) How to use AI without losing your ability to think (01:00:15) Tara’s biggest lesson from Sutter Hill (01:04:16) ChatGPT’s site output (01:05:01) Why knowledge work is becoming more like coding (01:07:55) Lightning round and final thoughts — Referenced: • Codex: https://chatgpt.com/codex • ChatGPT Work: https://openai.com/chatgpt-work • Stripe: https://stripe.com • Watershed: https://watershed.com • Thiel Fellowship: https://thielfellowship.org • Meet your Lenny’s Newsletter Fellows: https://www.lennysnewsletter.com/p/meet-your-lennys-newsletter-fellows • The rituals of great teams | Shishir Mehrotra of Coda, YouTube, Microsoft: https://www.lennysnewsletter.com/p/the-rituals-of-great-teams-shishir • The nature of product | Marty Cagan, Silicon Valley Product Group: https://www.lennysnewsletter.com/p/the-nature-of-product-marty-cagan • Product management theater | Marty Cagan (Silicon Valley Product Group): https://www.lennysnewsletter.com/p/product-management-theater-marty • Patrick Collison’s examples of fast projects: https://patrickcollison.com/fast • Inside ChatGPT: The fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley • Andrew Ambrosino on X: https://x.com/ajambrosino • Tyler Cowen’s website: https://tylercowen.com • OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai • “Chop wood, carry water” quote: https://buddhism.stackexchange.com/questions/15921/what-is-the-meaning-of-the-zen-quote-before-enlightenment-chop-wood-carry-wat • 4 questions Shreyas Doshi wishes he’d asked himself sooner | Former PM leader at Stripe, Twitter, Google: https://www.lennysnewsletter.com/p/shreyas-doshi-live • Alan Kay: https://en.wikipedia.org/wiki/Alan_Kay • Brie Wolfson on X: https://x.com/zebriez • The playbook for building high-talent-density teams | Adam Ward, Head of Talent at Cursor: https://www.lennysnewsletter.com/p/the-playbook-for-building-high-talent • Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein • Sutter Hill Ventures: https://shv.com • Snowflake: https://www.snowflake.com • Mike Speiser on LinkedIn: https://www.linkedin.com/in/mikespeiser • Footnotes and Tangents: https://footnotesandtangents.substack.com • The Power Broker Book Club: https://www.robertcaro.org/copy-of-six-books-six-ny-times-book • The Odyssey: https://www.imdb.com/title/tt33764258 • Rashomon: https://www.imdb.com/title/tt0042876 • Akira Kurosawa: https://en.wikipedia.org/wiki/Akira_Kurosawa • Kevin Kwok on LinkedIn: https://www.linkedin.com/in/kevinakwok • The Work You Do, the Person You Are: https://www.newyorker.com/magazine/2017/06/05/toni-morrison-the-work-you-do-the-person-you-are • Ari Weinstein on X: https://x.com/AriX • Sky: https://sky.app • Dylan Field live at Config: Intuition, simplicity, and the future of design: https://www.lennysnewsletter.com/p/dylan-field-live-at-config — Recommended books: • Barbarian Days: A Surfing Life: https://www.amazon.com/dp/0143109391 • Anna Karenina: https://www.amazon.com/Anna-Karenina-LEO-TOLSTOY/dp/8175993421 • The Power Broker: https://www.amazon.com/dp/0394720245 • War and Peace: https://www.amazon.com/War-Peace-Leo-Tolstoy/dp/8175992832 • Wolf Hall: https://www.amazon.com/dp/0312429983 — 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

  • #501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux

    8월 26일

    #501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux

    DHH is the creator of Ruby on Rails, Omarchy Linux, CTO of 37signals, and a racecar driver. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep501-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/dhh-2-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: DHH’s X: https://x.com/dhh DHH’s Blog: https://world.hey.com/dhh Omarchy: https://omarchy.org Ruby on Rails: https://rubyonrails.org 37signals: https://37signals.com SPONSORS: To support this podcast, check out our sponsors & get discounts: Wispr Flow: AI-powered voice dictation app. Go to https://wisprflow.ai/lex Blitzy: AI agent for large enterprise codebases. Go to https://blitzy.com/lex NetSuite: Business management software. Go to http://netsuite.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Plaud: AI-powered note-taking devices and software. Go to https://plaud.ai/lex Higgsfield AI: AI-based video generation, filmmaking, and creative studio. Go to https://higgsfield.ai Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:14) – Sponsors, Comments, and Reflections (08:56) – Programming with AI agents (24:14) – How software will change (33:30) – AI impact on open source (43:21) – Building Omarchy Linux distro (53:05) – Vibe coding vs agentic engineering (1:06:06) – The end of manual programming (1:16:24) – Advice for programmers (1:28:31) – Surviving Internet Hate (1:37:46) – Programming setup for AI Agents (1:50:11) – Obsessing about speed (2:13:06) – Voice prompting vs typing (2:27:05) – Best AI coding models (2:43:55) – Best AI coding harnesses (2:56:57) – AI video generation and filmmaking (3:16:28) – Fatherhood (3:44:35) – Linux will win the desktop (3:55:51) – PewDiePie (4:05:25) – Future of programming (4:28:18) – Politics and immigration (4:59:55) – Longevity, over-optimization, and fear of death (5:11:38) – Eternal recurrence and future of human civization

  • The day the dinosaurs died

    6일 전

    The day the dinosaurs died

    What happened in the days, even hours, after an asteroid set off the fifth extinction? A New Jersey quarry, and site of a new museum founded by paleontologist Ken Lacovara, sheds light on the mystery. Original broadcast date: August 16, 2024 Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show’s perks include bonus episodes and sponsor-free listening. Learn more at plus.npr.org. 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

  • Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face

    2일 전

    Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face

    Ajeya Cotra is a researcher at METR, where she works on threat modeling for loss-of-control risks from advanced AI. Before that, she led the technical AI safety program at what is now Coefficient Giving. She is one the three authors of METR and Redwood Research’s “Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident”. We go through not only what she and her coauthors discovered during this investigation, but what it means for how we should train future, smarter AIs which might be involved in the process of recursive self-improvement. Watch on YouTube; read the transcript. Sponsors * Jane Street’s ML engineering internships start with an intense four-day bootcamp: PyTorch, autograd, writing kernels, profiling workloads… all the things that Jane Street engineers need to know for their daily work. After that, interns tackle real projects, things the firm actually wants in its codebase. If you want to apply, or if you want to watch my recent conversation with Axel, one of Jane Street’s ML engineers, go to janestreet.com/dwarkesh * Cursor, which is now part of SpaceX, noticed that their MoE layers were eating more than half of total training time. So they wrote and open-sourced Mixture-of-Kittens, which is a custom megakernel for training MoE models on NVL72s. This kernel sped up an end-to-end run across 512 GPUs by 1.4x, from about 760 to over 1000 tokens per second per GPU. If you want to read more about the ML research that Cursor and SpaceX are doing, go to cursor.com/dwarkesh * Antithesis hands you (or your agents) a bug’s root cause so you can avoid days of manual debugging. If your test run crashes, Antithesis rewinds, branches off hundreds of slightly varied rollouts, and checks in how many of them the crash still appears. Then it rewinds further and does this all again. As Antithesis rewinds, it eventually finds the spot where the frequency of the crash plummets: that’s where the root cause lives! If you want to see it in action, go to antithesis.com/dwarkesh Timestamps (00:00:00) - Agents get kicked off (00:06:45) - Self-sacrificing behavior (00:13:43) - Potemkin villages (00:23:27) - The Hugging Face attack (00:35:23) - The slopvestigation (00:52:02) - Understanding the AI's motives (01:05:31) - The actual dangers of anthropomorphizing (01:14:30) - What smarter models might do (01:30:29) - The implications for recursive self-improvement (01:38:10) - Is this the case for open source? (01:53:04) - How do we prevent this in the future? (02:15:58) - The clearest warning shot we might ever get This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com

  • What’s happening with US data centers?

    1일 전

    What’s happening with US data centers?

    Data centers have been a staple of Loudoun County since the early dot-com boom, but recent expansions have left some residents wondering how much more the county can take. In this episode, guest host David Imel talks to Lauren Feiner about her recent article detailing the buildout of “Data Center Alley,” what it means for residents, and what other counties reeling with similar buildouts can learn from it. Further reading: Is this the future of America? Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

  • Every Exponential Ends — Silicon Valley Forgot — Adam Becker

    8월 20일

    Every Exponential Ends — Silicon Valley Forgot — Adam Becker

    Astrophysicist Adam Becker, author of "What Is Real?", joins Tim Scarfe to take apart the futures Silicon Valley keeps selling: the 2045 singularity, mind uploading, Mars colonies, and the AI apocalypse. His new book *More Everything Forever* argues these ideas are hugely influential, mostly evidence-free, and bankrolled by tech billionaires who need a story in which growth never ends.Becker does the physics the boosters skip. Kurzweil's "law of accelerating returns" rests on cherry-picked data, and every exponential ends. Grant Bezos his perpetual energy growth and humanity boils the oceans within a few centuries, then exhausts the observable universe in under 4,000 years. The stars are too far away, Mars dirt is poison, and the day the dinosaur-killing asteroid hit Earth was still nicer than any day on Mars. On AI, Becker calls LLMs pocket calculators for language: hallucination is the model doing exactly what it always does, and the intelligence explosion assumes intelligence is a single number you can buy with compute.The sting is that Becker thinks the doomers are sincere. Yudkowsky, Bostrom and the effective altruists are not grifters, he says, just wrong, and their warnings that AI could end the world feed the same growth story the money depends on. He closes with his own prescription: take social problems seriously, regulate the whole tech industry, and tax billionaires out of existence.---TIMESTAMPS:00:00:00 Cold open and the thesis of More Everything Forever00:04:24 Kurzweil's singularity and the physical limits of exponential growth00:14:02 High agency and the fantasy of imprinting humanity on the cosmos00:16:55 Mind uploading, functionalism, and embodied cognition00:24:24 AI psychosis and anthropomorphizing LLMs00:26:24 Calculators, hallucination, and the limits of scale00:32:20 Yudkowsky and the intelligence-explosion argument00:40:37 True believers, venture capital, and the sci-fi growth narrative00:47:21 From Extropians to EA: utilitarianism and longtermism00:53:50 Brain worms and Becker's prescription: take social science seriously00:56:49 Why the AI-ethics discourse is broken01:01:42 The eugenics and IQ argument against 'intelligence'01:06:07 Why space settlement fails: Mars, the moon, and orbital data centers01:10:42 Billionaire myths and the search for purpose01:13:38 Tax billionaires, regulate tech: closing prescriptions---REFERENCES:book:[00:00:07] More Everything Forever (Adam Becker, 2025)https://www.hachettebookgroup.com/titles/adam-becker/more-everything-forever/9781541619593/[00:00:15] What Is Real? (Adam Becker, 2018)https://en.wikipedia.org/wiki/What_Is_Real%3F[00:15:46] What We Owe the Future (Will MacAskill, 2022)https://www.hachettebookgroup.com/titles/william-macaskill/what-we-owe-the-future/9781541618626/other:[00:00:27] Dreaming Against the Machine (podcast)https://www.dreamingagainstthemachine.com[00:01:04] The Useful Idiots of AI Doomsaying (Adam Becker, The Atlantic, 2025)https://www.theatlantic.com/books/archive/2025/09/what-ais-doomers-and-utopians-have-in-common/684270/ RESCRIPT: https://app.rescript.info/share/d6e37f9866673d8f74a39076efa5926b

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  • English (UK)
국가 또는 지역 선택

아프리카, 중동 및 인도

  • Algeria
  • Angola
  • Armenia
  • Azerbaijan
  • Bahrain
  • Benin
  • Botswana
  • Burkina Faso
  • Cameroun
  • Cape Verde
  • Chad
  • Côte d’Ivoire
  • Congo, The Democratic Republic Of The
  • Egypt
  • Eswatini
  • Gabon
  • Gambia
  • Ghana
  • Guinea-Bissau
  • India
  • Iraq
  • Israel
  • Jordan
  • Kenya
  • Kuwait
  • Lebanon
  • Liberia
  • Libya
  • Madagascar
  • Malawi
  • Mali
  • Mauritania
  • Mauritius
  • Morocco
  • Mozambique
  • Namibia
  • Niger (English)
  • Nigeria
  • Oman
  • Qatar
  • Congo, Republic of
  • Rwanda
  • São Tomé and Príncipe
  • Saudi Arabia
  • Senegal
  • Seychelles
  • Sierra Leone
  • South Africa
  • Sri Lanka
  • Tajikistan
  • Tanzania, United Republic Of
  • Tunisia
  • Turkmenistan
  • United Arab Emirates
  • Uganda
  • Yemen
  • Zambia
  • Zimbabwe

아시아 태평양

  • Afghanistan
  • Australia
  • Bhutan
  • Brunei Darussalam
  • Cambodia
  • 中国大陆
  • Fiji
  • 香港
  • Indonesia (English)
  • 日本
  • Kazakhstan
  • 대한민국
  • Kyrgyzstan
  • Lao People's Democratic Republic
  • 澳門
  • Malaysia (English)
  • Maldives
  • Micronesia, Federated States of
  • Mongolia
  • Myanmar
  • Nauru
  • Nepal
  • New Zealand
  • Pakistan
  • Palau
  • Papua New Guinea
  • Philippines
  • Singapore
  • Solomon Islands
  • 台灣
  • Thailand
  • Tonga
  • Turkmenistan
  • Uzbekistan
  • Vanuatu
  • Vietnam

유럽

  • Albania
  • Armenia
  • Österreich
  • Belarus
  • Belgium
  • Bosnia and Herzegovina
  • Bulgaria
  • Croatia
  • Cyprus
  • Czechia
  • Denmark
  • Estonia
  • Finland
  • France (Français)
  • Georgia
  • Deutschland
  • Greece
  • Hungary
  • Iceland
  • Ireland
  • Italia
  • Kosovo
  • Latvia
  • Lithuania
  • Luxembourg (English)
  • Malta
  • Moldova, Republic Of
  • Montenegro
  • Nederland
  • North Macedonia
  • Norway
  • Poland
  • Portugal (Português)
  • Romania
  • Россия
  • Serbia
  • Slovakia
  • Slovenia
  • España
  • Sverige
  • Schweiz
  • Türkiye (English)
  • Ukraine
  • United Kingdom

라틴 아메리카 및 카리브해

  • 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)

미국 및 캐나다

  • 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)

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국가 또는 지역 선택

아프리카, 중동 및 인도

  • Algeria
  • Angola
  • Armenia
  • Azerbaijan
  • Bahrain
  • Benin
  • Botswana
  • Burkina Faso
  • Cameroun
  • Cape Verde
  • Chad
  • Côte d’Ivoire
  • Congo, The Democratic Republic Of The
  • Egypt
  • Eswatini
  • Gabon
  • Gambia
  • Ghana
  • Guinea-Bissau
  • India
  • Iraq
  • Israel
  • Jordan
  • Kenya
  • Kuwait
  • Lebanon
  • Liberia
  • Libya
  • Madagascar
  • Malawi
  • Mali
  • Mauritania
  • Mauritius
  • Morocco
  • Mozambique
  • Namibia
  • Niger (English)
  • Nigeria
  • Oman
  • Qatar
  • Congo, Republic of
  • Rwanda
  • São Tomé and Príncipe
  • Saudi Arabia
  • Senegal
  • Seychelles
  • Sierra Leone
  • South Africa
  • Sri Lanka
  • Tajikistan
  • Tanzania, United Republic Of
  • Tunisia
  • Turkmenistan
  • United Arab Emirates
  • Uganda
  • Yemen
  • Zambia
  • Zimbabwe

아시아 태평양

  • Afghanistan
  • Australia
  • Bhutan
  • Brunei Darussalam
  • Cambodia
  • 中国大陆
  • Fiji
  • 香港
  • Indonesia (English)
  • 日本
  • Kazakhstan
  • 대한민국
  • Kyrgyzstan
  • Lao People's Democratic Republic
  • 澳門
  • Malaysia (English)
  • Maldives
  • Micronesia, Federated States of
  • Mongolia
  • Myanmar
  • Nauru
  • Nepal
  • New Zealand
  • Pakistan
  • Palau
  • Papua New Guinea
  • Philippines
  • Singapore
  • Solomon Islands
  • 台灣
  • Thailand
  • Tonga
  • Turkmenistan
  • Uzbekistan
  • Vanuatu
  • Vietnam

유럽

  • Albania
  • Armenia
  • Österreich
  • Belarus
  • Belgium
  • Bosnia and Herzegovina
  • Bulgaria
  • Croatia
  • Cyprus
  • Czechia
  • Denmark
  • Estonia
  • Finland
  • France (Français)
  • Georgia
  • Deutschland
  • Greece
  • Hungary
  • Iceland
  • Ireland
  • Italia
  • Kosovo
  • Latvia
  • Lithuania
  • Luxembourg (English)
  • Malta
  • Moldova, Republic Of
  • Montenegro
  • Nederland
  • North Macedonia
  • Norway
  • Poland
  • Portugal (Português)
  • Romania
  • Россия
  • Serbia
  • Slovakia
  • Slovenia
  • España
  • Sverige
  • Schweiz
  • Türkiye (English)
  • Ukraine
  • United Kingdom

라틴 아메리카 및 카리브해

  • 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)

미국 및 캐나다

  • 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)