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  • Deep Questions with Cal Newport
    Deep Questions with Cal Newport

    1

    Deep Questions with Cal Newport

    Cal Newport

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    Catarina Vieira

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  • 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

  • On refait le Mac - ORLM
    On refait le Mac - ORLM

    6

    On refait le Mac - ORLM

    ORLM.tv by Electric Dreams

  • TED Radio Hour
    TED Radio Hour

    7

    TED Radio Hour

    NPR

Les indispensables

  • Hard Fork
    Technologies
    Technologies

    Toutes les 2 semaines

  • The Vergecast
    Technologies
    Technologies

    Deux fois par semaine

  • There Are No Girls on the Internet
    Technologies
    Technologies

    Chaque semaine

  • Endless Thread
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    Technologies

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    Affaires
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    Série hebdomadaire

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  • Uncanny Valley | WIRED
    Technologies
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    Chaque semaine

  • Elon Musk — "In 36 months, the cheapest place to put AI will be space”

    5 févr.

    Elon Musk — "In 36 months, the cheapest place to put AI will be space”

    In this episode, John and I got to do a real deep-dive with Elon. We discuss the economics of orbital data centers, the difficulties of scaling power on Earth, what it would take to manufacture humanoids at high-volume in America, xAI’s business and alignment plans, DOGE, and much more. Watch on YouTube; read the transcript. Sponsors * Mercury just started offering personal banking! I’m already banking with Mercury for business purposes, so getting to bank with them for my personal life makes everything so much simpler. Apply now at mercury.com/personal-banking * Jane Street sent me a new puzzle last week: they trained a neural net, shuffled all 96 layers, and asked me to put them back in order. I tried but… I didn’t quite nail it. If you’re curious, or if you think you can do better, you should take a stab at janestreet.com/dwarkesh * Labelbox can get you robotics and RL data at scale. Labelbox starts by helping you define your ideal data distribution, and then their massive Alignerr network collects frontier-grade data that you can use to train your models. Learn more at labelbox.com/dwarkesh Timestamps (00:00:00) - Orbital data centers (00:36:46) - Grok and alignment (00:59:56) - xAI’s business plan (01:17:21) - Optimus and humanoid manufacturing (01:30:22) - Does China win by default? (01:44:16) - Lessons from running SpaceX (02:20:08) - DOGE (02:38:28) - TeraFab Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

  • Classic Episode: How Do I Learn Hard Things? | Monday Advice

    3 août

    Classic Episode: How Do I Learn Hard Things? | Monday Advice

    In this replay of a classic episode from January 1st, 2024, Cal walks through the process of learning hard things. The good news is that most people can learn most things. The bad news is that learning is harder than we think. This advice has never been more relevant for those looking to move past the easy dopamine hits offered by their devices and find something deeper.    Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here’s the link: https://bit.ly/3U3sTvo Video from today’s episode:  youtube.com/calnewportmedia (0:00) Learning hard things (21:19) When it comes to taking notes, what really matters? (27:32) Can I fit all of my hobbies into my week?  (31:12) Can YouTube teach me to be a better student?  (37:37) How do I figure out what to learn next?  (39:54) How do I learn something fast when I already have a busy schedule?- (46:24) CALL: How does “So Good They Can’t Ignore You” relate to “Slow Productivity”? (56:17) CASE STUDY: Slow Productivity affinity group (1:02:23) The 5 books Cal read in December 2023  Thanks to our Sponsors:  https://www.monarch.com (Use code “DEEP”) https://www.calderalab.com/deep This show is brought to you by BetterHelp. Give online therapy a try at https://www.betterhelp.com/deepquestions December 2023 Books: Home Economics (Wendell Berry) Panora’s Box (Peter Biskind) Where the Deer and the Antelope Play (Nick Offerman) Who Wrote the Bible (Richard Elliott Friedman) The Exodus (Richard Elliott Friedman) Thanks to Jesse Miller for production, Jay Kerstens for the intro music, Kieron Rees for slow productivity music, and Mark Miles for mastering. Learn more about your ad choices. Visit podcastchoices.com/adchoices

  • Sholto Douglas & Trenton Bricken — How LLMs actually think

    28/03/2024

    Sholto Douglas & Trenton Bricken — How LLMs actually think

    Had so much fun chatting with my good friends Trenton Bricken and Sholto Douglas on the podcast. No way to summarize it, except:  This is the best context dump out there on how LLMs are trained, what capabilities they're likely to soon have, and what exactly is going on inside them. You would be shocked how much of what I know about this field, I've learned just from talking with them. To the extent that you've enjoyed my other AI interviews, now you know why. So excited to put this out. Enjoy! I certainly did :) Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform.  There's a transcript with links to all the papers the boys were throwing down - may help you follow along. Follow Trenton and Sholto on Twitter. Timestamps (00:00:00) - Long contexts (00:16:12) - Intelligence is just associations (00:32:35) - Intelligence explosion & great researchers (01:06:52) - Superposition & secret communication (01:22:34) - Agents & true reasoning (01:34:40) - How Sholto & Trenton got into AI research (02:07:16) - Are feature spaces the wrong way to think about intelligence? (02:21:12) - Will interp actually work on superhuman models (02:45:05) - Sholto’s technical challenge for the audience (03:03:57) - Rapid fire Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

  • Leopold Aschenbrenner — 2027 AGI, China/US super-intelligence race, & the return of history

    04/06/2024

    Leopold Aschenbrenner — 2027 AGI, China/US super-intelligence race, & the return of history

    Chatted with my friend Leopold Aschenbrenner on the trillion dollar nationalized cluster, CCP espionage at AI labs, how unhobblings and scaling can lead to 2027 AGI, dangers of outsourcing clusters to Middle East, leaving OpenAI, and situational awareness. Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform. Read the full transcript here. Follow me on Twitter for updates on future episodes. Follow Leopold on Twitter. Timestamps (00:00:00) – The trillion-dollar cluster and unhobbling (00:20:31) – AI 2028: The return of history (00:40:26) – Espionage & American AI superiority (01:08:20) – Geopolitical implications of AI (01:31:23) – State-led vs. private-led AI (02:12:23) – Becoming Valedictorian of Columbia at 19 (02:30:35) – What happened at OpenAI (02:45:11) – Accelerating AI research progress (03:25:58) – Alignment (03:41:26) – On Germany, and understanding foreign perspectives (03:57:04) – Dwarkesh’s immigration story and path to the podcast (04:07:58) – Launching an AGI hedge fund (04:19:14) – Lessons from WWII (04:29:08) – Coda: Frederick the Great Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

  • La FED va craquer ? (Les Archives de L'Architecte EP17)

    -3 j

    La FED va craquer ? (Les Archives de L'Architecte EP17)

    Les marchés financiers avec en tête le SP500 offrent de nouveaux ATH cette semaine. Jusqu'où cela peut durer aux abords d'une saisonnalité historiquement peu favorable en Août et Septembre. Le Clarity act #crypto est reporté et bizarrement à court terme #Bitcoin n'en a que faire ! Récapitulatif de l'actualité #finance de la semaine épisode 17. N'hésitez pas à partager vos retours dans les commentaires Contact : youtube@fintales.fr DISCLAIMER Tous les avis exposés ici ne sont que des avis personnels qui ne constituent en aucun cas des conseils financiers de quelque manière que ce soit. La chaîne YouTube "FinTales_" ne fait aucun conseil en investissement, vous et vous seuls êtes responsable de vos investissements réalisés ou à venir. Tout commentaire d'actualité ou sur le cours des actifs financiers crypto, forex, commodités, peuvent être soumis à l'inexactitude pleine et entière. Nous vous conseillons à ce titre de bien vous renseigner avant d’investir dans un actif financier. Le marché spécifique et ultra volatile des crypto-monnaies évoluant à une telle vitesse qu'une information vraie aujourd'hui peut ne plus l'être dès demain. Restez toujours critique et vérifiez au travers de plusieurs sources n'importe quelle information qui vous sera présentée.

  • L'ère de l'abondance arrive : pourquoi Musk pense que l'argent disparaîtra !

    -5 j

    L'ère de l'abondance arrive : pourquoi Musk pense que l'argent disparaîtra !

    Elon Musk promet un monde où l'argent ne sert plus à rien d'ici dix ans pendant que ses actionnaires comptent leurs pertes. Cette contradiction au cœur de l'interview la plus commentée de l'année ouvre un débat bien plus inquiétant : si l'IA produit tout, à qui profite vraiment l'abondance ? On décortiquent la thèse de Elo Musk entre déflation libératrice et piège institutionnel, entre révolution pacifique et révolte qui gronde. Mais la vraie fracture est ailleurs : même les plus intelligents pourraient bientôt être dépassés, et dans l'abondance, ce qui restera rare, c'est le pouvoir. Musk prédit la fin du travail et peut être du capitalisme. Keynes faisait la même promesse en 1930 et personne ne s'y prépare. ================== 📍NOS PARTENAIRES : ================== QONTO, découvrir l'outil de facturation électronique inclus dans toutes les offres Qonto : https://qonto.com/fr/invoicing/e-invo... CODE PROMO : SILICON50 ============= 🌶️ LES INVITÉS :  ============= Evan Kervella - https://www.linkedin.com/in/evankervella/ Stéphane Mallard - https://www.linkedin.com/in/stephanemallardcabocel Laurent Alexandre - https://x.com/dr_l_alexandre Carlos Diaz - https://www.linkedin.com/in/carlosdiazprofile/ ====================== ❤️ LIKE, FOLLOW & PARTAGE ====================== 👍🏽 N'oublie pas de liker et partager si tu as aimé cette vidéo 😵 Suis-nous sur X https://twitter.com/siliconcarnesf 📸 Suis-nous sur Insta https://www.instagram.com/siliconcarne_ 🇨🇳 Suis-nous sur TikTok https://www.tiktok.com/@siliconcarne_ 📪 La newsletter https://siliconcarne.substack.com 🎧 L'émission est également disponible sur YT : https://www.youtube.com/@siliconcarnepod Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

  • The White House’s Secret A.I. Rules + The State of Model Alignment With METR’s Chris Painter + The Final Hot Mess Express

    -4 j

    The White House’s Secret A.I. Rules + The State of Model Alignment With METR’s Chris Painter + The Final Hot Mess Express

    This week, the White House announced a new framework for regulating A.I. models, but it isn’t letting the public read it. We break down what we know about the rules and what the implications are for the industry and A.I. safety as a whole.  Then, yet another report details new incidents in which A.I. agents have gone rogue. Chris Painter, the president of METR, an independent A.I. evaluation organization, joins to discuss how we get these models under control.  And finally, we're hopping on the Hot Mess Express for the very last time. We’ll rate the craziest tech headlines from the week, including Google’s announcement that Demis Hassabis is stepping into a new role.    Guests: Chris Painter, president of METR.    Additional Reading: White House Readies A.I. Framework to Review Security Risks Inside Trump's AI framework How Do You Measure an A.I. Boom? METR’s Frontier Risk Report Google Shakes Up A.I. Leadership Did an A.I. Music App Just Snitch on the Song of the Summer? This AI Assistant Wants to Make Up for Your Boyfriend’s Incompetence Google Earth’s AI deepfake tool only lasted one day US government map of Africa mislabels every country at global conference Contractor who built Colossus and Colossus II says Elon Musk owes him colossal amount of money   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.

  • No.228 对话滴滴曲晓楠:怕你觉得我们不安全,更怕你觉得我们绝对安全

    4 août

    No.228 对话滴滴曲晓楠:怕你觉得我们不安全,更怕你觉得我们绝对安全

    嘉宾|曲晓楠,滴滴网约车平台安全部负责人。 主播|刘飞,内容创作者,产品经理。 早年我在滴滴负责司机产品时,曾与晓楠共事过。彼时他主要在负责用户体验,直到 2018 年顺风车事件爆发,全公司抽调骨干力量投入安全攻坚,他从用户体验转身加入,自此在出行安全的深水区扎根。 对于普通乘客而言,安全往往具象化为「行程分享」或「车内录音」这些可见的功能。然而,舆论场中始终存在一种认知撕裂:一边是指责平台治理不力的愤怒,另一边则认为平台理应能像魔法一样「彻底消除」存在的隐患。 事实上,真正的安全治理,藏在那些用户看不见的地方,也充满着我们不愿面对的「妥协」。 本期节目中,我们将拆解滴滴安全体系的迭代历程,透视全链路风险防控的真实运作;探讨 AI 大模型升级后车内风险的识别能力,并直面醉酒乘车、未成年人单独出行、线下私单等高频场景下的治理难点。此外,我们也聊了聊安全算法中「优先召回率、容忍误判」的底层伦理取舍,以及安全防护与用户隐私之间那道微妙而危险的界线。 内容索引 01:14 Part 1 从被动响应到主动预防:滴滴安全体系的搭建 战略级转折:回顾2018年事件后的企业级战略转向——全线搁置业务营收KPI,连续两年网约车管理班子仅考核安全指标,每年数十亿资金重建整套安全体系。 底层逻辑重构:梳理滴滴安全体系的演进历程,核心是从「事后处置」向「事前预防」的根本性转变。 重新划定安全边界:明确平台责任范围——从订单匹配成功那一刻起,直至司乘完全安全分离。订单结束后的隐患仍是当前治理的难点。 12:13 Part 2 五层全链路防护网:从源头准入到实时智能扫描 出车前双重准入门槛:司机三证核验 + 犯罪记录背景筛查、人车一致性校验、常态化安全培训,从源头拦截高风险从业人员。 派单分层风控调度:建立司机安全评分体系,高风险订单优先匹配高安全系数司机,前置降低冲突概率。 行程 AI 实时扫描: 轨迹识别:路线大幅偏航、无合理理由的异常长时间停留。 录音识别:利用大模型提升对争执、求救、呕吐、肢体接触等细微风险语音的捕捉能力(每日约 4000 万订单双层 AI 过滤)。 视频研判:部分运营车辆搭载「桔视」车载录像,直观还原车内冲突场景。 主动求助:乘客110报警、紧急行程求助信号的即时响应。 31:51 Part 3 核心考核指标“降发生”:算法优先保障召回率 显著的数据成效:常年维持安全事件两位数降幅,近年降幅约 30% 算法的伦理取舍:在网约车安全场景下,风险召回率优先级远高于识别准确率。宁可深夜致电打扰用户确认安全,也尽最大努力减少漏判潜在风险。。 回应公众争议:涉及深夜连环安全回访电话的业务逻辑——均对应司机小区长时间停留、提前收车下线等高风险信号;确认乘客安全后,专家仍持续追踪司机状态,防范订单结束后的隐患。 49:12 Part 4 识别盲区与高频风险场景的案例分享 天然识别盲区:线下私单、订单结束后折返、醉酒静默无信号、蓄意预谋犯罪这四类难以通过技术手段预判的风险。 高危场景案例分享:深入拆解「醉酒乘客」与「14岁以下未成年人独自乘车」两大高频高危场景,分享真实处置案例及平台出行建议。 司乘双向治理规则:滴滴网约车平台不仅保护乘客,也规范司机——乘客若出现暴力骚扰行为,同样面临永久封禁账号的严厉处罚。 制作人: 噗噗猫 片头: Where Are You Going (Live) - 海龟先生 相关 本期 shownotes 由 AI 工具联合辅助生成。欢迎在评论区留言交流。如果喜欢《三五环》,也恳请能在苹果 Podcast、网易云音乐、Spotify 或喜马拉雅留下你的宝贵好评。感谢! 商务合作&嘉宾自荐,请加微信:wocaishiliufei

  • ev.news Briefly: EV Mandates, Lucid, Rivian & more | 06 Aug 2026

    -4 j

    ev.news Briefly: EV Mandates, Lucid, Rivian & more | 06 Aug 2026

    Can you help me make more podcasts? Consider supporting me on Patreon as the service is 100% funded by you: https://EVne.ws/patreon You can read all the latest news on the blog here: https://EVne.ws/blog Subscribe for free and listen to the podcast on audio platforms:➤ Apple: https://EVne.ws/apple➤ YouTube Music: https://EVne.ws/youtubemusic➤ Spotify: https://EVne.ws/spotify➤ TuneIn: https://EVne.ws/tunein➤ iHeart: https://EVne.ws/iheart UK JULY CAR SALES HIT POST-PANDEMIC HIGH https://evne.ws/xhu28 BRITAIN’S EV SALES BEAT MANDATE PACE IN JULY https://evne.ws/7ox86 LUCID PUSHES COSMOS TO H2 2027 https://evne.ws/y5paj RIVIAN TARGETS SECOND R2 SHIFT BY SEPTEMBER https://evne.ws/51jf2 APTERA ORDERS PARTS FOR FIRST 40 VEHICLES https://evne.ws/my9vf SONO MOTORS STOPS AS INSOLVENCY SALE BEGINS https://evne.ws/50e52 EVS HOLD ABOVE 20% IN AUSTRALIA https://evne.ws/xfymu ZEEKR TARGETS LATE 2026 UK ORDERS https://evne.ws/uki9m KEMPOWER BRINGS LEASED CHARGING TO UK https://evne.ws/fjsm3 DENZA D9 UK ORDERS OPEN AT £75,000 https://evne.ws/abht8 EV FIRES DO NOT BURN LONGER https://evne.ws/a4ab9 ARCHER FLIES MIDNIGHT ON NINE-MINUTE HOP https://evne.ws/tyxzg

  • Formula 1

    2 mars

    Formula 1

    Formula 1 is three competitions in one: a 200mph battle of the world's best race car drivers, the world cup of engineering where thousand-person teams spend hundreds of millions designing cars from scratch, and — as one of our listeners perfectly put it — the “Real Housewives of the Garage”, a soap opera of billionaire egos, team politics, and paddock drama that makes for incredible reality television. It's also the world's most popular annual sporting series with over 827 million fans globally — a fact that would shock most Americans, who until a recent viral Netflix series had barely heard of it. Today we tell the story of how a chaotic, deadly, and gloriously dysfunctional European racing series became one of the greatest business stories in sports. For decades, brilliant engineers and daredevil drivers dedicated their lives (and too often lost them) to a league controlled for 45 years by a single man: a former London car dealer named Bernie Ecclestone, who centralized power and extracted billions, while also undeniably single-handedly making the sport successful. Then, in a move no one saw coming, the American company Liberty Media bought the whole thing in 2017, installed a team of Fox Sports and ESPN veterans, and did what Bernie never would — professionalized it. All of a sudden famously money-losing F1 teams turned into real businesses, with the average team valuation today clocking in at an astounding $3.6 billion. Buckle up for one of our most-requested episodes: the wild story of Formula 1. Sponsors: Many thanks to our fantastic Spring '26 Season partners: J.P. Morgan PaymentsServiceNowVercelStatsigLinks: Sign up for email updates and vote on future episodes!The Formula by Joshua Robinson and Jonathan CleggDrive to Survive on NetflixF1 The Movie on Apple TVAdrian Newey, How to Build a CarSenna documentaryWorldly Partners' Multi-Decade Formula One StudyAll episode sourcesCarve Outs: Cirque du Soleil EchoSuper Bowl LX Mic'd UpTonalPrincess Peach: Showtime! on Nintendo SwitchDaloopa for historical financial dataMore Acquired: Get email updates and vote on future episodes!Join the SlackSubscribe to ACQ2Check out the latest swag in the ACQ Merch Store!00:00:00 Start00:00:37 Intro00:05:52 Origins of F1: Britain, Italy, and Monaco00:30:43 Bernie's Entrance00:37:42 Bernie Consolidates Power00:50:33 F1 as a Global TV Sport (Except America)01:08:08 F1's Incredible Engineering Achievements01:19:34 Senna's Crash and a New Era for Safety01:33:18 The Many Owners of F1, and Bernie's Liquidity Drama01:57:48 FOTA: The attempted breakaway series02:05:07 RedBull, Mercedes, and Reinventing the Sport02:42:33 Liberty Media buys F1 and Brings it to the Modern Era03:05:03 Drive to Survive03:26:45 Apple, TV Rights, and Success in America03:41:52 F1: The Business Today03:56:23 Analysis: Why Did F1 Work… and Was Bernie Necessary?04:05:40 7 Powers04:08:23 Bear vs. Bull Cases04:16:32 Quintessence04:20:08 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.

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