• Home
  • New
  • Top Charts
  • Search

Technology

  • 9to5Mac Happy Hour
    9to5Mac Happy Hour

    1

    9to5Mac Happy Hour

    9to5Mac

  • 9to5Mac Overtime
    9to5Mac Overtime

    2

    9to5Mac Overtime

    9to5Mac

  • Apple @ Work
    Apple @ Work

    3

    Apple @ Work

    9to5Mac

  • 9to5Mac Daily
    9to5Mac Daily

    4

    9to5Mac Daily

    9to5Mac

  • Hacked
    Hacked

    5

    Hacked

    Hacked

  • Lex Fridman Podcast
    Lex Fridman Podcast

    6

    Lex Fridman Podcast

    Lex Fridman

  • Dwarkesh Podcast
    Dwarkesh Podcast

    7

    Dwarkesh Podcast

    Dwarkesh Patel

Essentials

  • Hard Fork
    Technology
    Technology

    Every two weeks

  • The Vergecast
    Technology
    Technology

    Updated twice weekly

  • There Are No Girls on the Internet
    Technology
    Technology

    Updated weekly

  • Endless Thread
    Technology
    Technology

    Updated weekly

  • Land of the Giants
    Business
    Business

    Weekly series

  • Channels with Peter Kafka
    Business News
    Business News

    Updated weekly

  • Uncanny Valley | WIRED
    Technology
    Technology

    Updated weekly

  • Win a Limited Edition Canon G7X III! Plus: WideluxX & I'm Back APS-C

    20 HR AGO

    1

    Win a Limited Edition Canon G7X III! Plus: WideluxX & I'm Back APS-C

    Now saving when you shop for your favorite gear at B&H Photo is even easier with the B&H Payboo Credit Card which lets you Save the Tax — you pay the tax, and B&H pays you back instantly! (Save the Tax on eligible purchases shipped to eligible states.) OR you can pay over time with our 6 & 12 month financing (on minimum purchases of $199 for 6 months, and $599 for 12 months). Terms apply, learn more at http://bhphoto.com/payboo. Credit card offers are subject to credit approval. Payboo Credit Card Accounts are issued by Comenity Capital Bank This week on the PetaPixel Podcast, we're giving away a new Canon G7X Mark III 30th Anniversary Limited Edition camera thanks to our friends at B&H Photo! GIVEAWAY RULES: Entrants must post a comment on YouTube, Instagram, Spotify, or the PetaPixel comments section below. The comment must have two parts:Comment must include a link to your portfolio (Instagram, YouTube, website, etc). If, for example, your comment is on Instagram and your portfolio is Instagram, just make that clear in your comments. The same goes for YouTubeComment must include a sentence about what you want to photograph with the Canon G7X Mark III. The winner will be chosen at random. The winner will be contacted directly by PetaPixel through the platform on which they entered and will be given three days to respond. If no response is received, PetaPixel will move on to another winner. NOTES: Beware of scammers impersonating PetaPixel or its employees and never provide any payment information to anyone. PetaPixel will never ask any winner to pay for anything. Shipping and all other fees will be handled by PetaPixel and B&H Photo. Giveaway entries will be accepted until May 5 @ 9 AM Pacific Time. Due to shipping restrictions, the contest is only open to those living in the United States (sorry!). You may enter up to four times by commenting on each platform. In This Episode:00:00 - Intro06:42 - WIN a Canon G7X III 30th Anniversary Limited Edition camera thanks to B&H Photo! 11:45 - I'm Back raised $850K for an APS-C sensor insert for film cameras21:44 - Jeff Bridges’ WideluxX Revival Costs $4,400 and Ships By the End of 202628:27 - Some Sigma lenses got some great usability upgrades34:38 - Viltrox listened to Chris38:31 - Samyang 14-24mm f/2.8 is finally arriving on L-mount this week43:15 - Canon's limited edition Powershot G7X III hits store shelves this week44:20 - Point and shoot cameras we'd like to see come back1:02:26 - Chris forgot to review this1:03:32 - What have you been up to?1:07:38 - Tech Support1:12:19 - Check out our MacBook benchmarks1:15:56 - What happened to the detailed camera reviews, like Pop Photo's Nikon F4 review?

    20 hr ago

    •
    1hr 27min
  • The Future is Agentic in Recommender Systems

    4 DAYS AGO

    2

    The Future is Agentic in Recommender Systems

    Kyle Polich sits down with Yashar Deldjoo, research scientist and Associate Professor at the Polytechnic University of Bari, to explore how recommender systems have evolved and why trustworthiness matters. They unpack key dimensions of responsible AI, including robustness to adversarial attacks, privacy, explainability, and fairness, and discuss how LLMs introduce new risks like hallucinations. The episode closes with a look at "agentic" recommender systems, where tools and memory shift recommendations from ranked lists to end-to-end task completion.

    4 days ago

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

    21 HR AGO

    3

    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

    21 hr ago

    •
    1hr 9min
  • Tim Cook’s Legacy + The Future of U.B.I. With Andrew Yang + HatGPT

    6 DAYS AGO

    4

    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

    •
    1hr 15min
  • Reiner Pope – The math behind how LLMs are trained and served

    19 HR 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

    19 hr ago

    •
    2h 14m
  • 22 Questions with Waveform

    1 DAY AGO ·  BONUS

    6

    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

    1 day ago · Bonus

    •
    1hr 25min
  • How Semantic Layers and Ontologies Create Trusted AI

    22 APR

    7

    How Semantic Layers and Ontologies Create Trusted AI

    Learn why an organization’s ontology, a structured framework for how a business defines, connects, and makes sense of its data and knowledge, is the most valuable and most overlooked asset in any AI strategy. Jessica Talisman, CEO and Founder of The Ontology Pipeline, and Tony Seale, Founder of The Knowledge Graph Guys, break down what it actually takes to build trusted AI, covering everything from semantic layers and knowledge graphs to why provenance is non-negotiable. They explain how organizations can start building their knowledge infrastructure for AI, and make the case for why their ontology is their most defensible competitive asset. Key Moments BI Semantic Layers vs. AI Context Layers (02:21): Explore the evolution from 1990s business vocabularies to modern AI context layers. Learn why ontologies are essential for connecting data points beyond traditional BI. Why Knowledge Graphs are Essential for AI (09:22): Understand why relational databases fail AI's needs. Tony explains how knowledge graphs turn data relationships into "first-class citizens" using open standards. How to Build Your First Business Ontology (17:04): Stop over-modeling and start delivering. Learn how to anchor your data strategy to high-value use cases and business-language competency questions. Solving the AI Provenance & Lineage Gap (34:19): Why LLMs lack built-in reliability. Jessica discusses the necessity of injecting data lineage at the retrieval layer to verify AI accuracy and prevent hallucinations. Why Your Ontology is Your Most Valuable IP (39:27): In the age of commodity AI, your internal data relationships are your only moat. Discover why hosting your ontology with third parties puts your core assets at risk. Key Quotes “If you let somebody else take your ontology, learn the essence of what it is that you know that's out of distribution with the rest of the world, you've just given them everything valuable about your company.” - Tony Seale “The accuracy of the information you receive is reliant upon the lineage or the provenance of the information received from an LLM. It's so important." - Jessica Talisman “As a business leader, you need to be looking below the surface to the data infrastructure. The key trick to do right now is to turn the power of the models that we've got back upon your own internal infrastructure to build out these rich ontologies and to connect your information.” - Tony Seale "Your ontology is like your thumbprint, your digital thumbprint for your organization. It's unique to each organization, and how you define things may not be the same as an LLM might define something." - Jessica Talisman Mentions The Ontology Pipeline® - A Semantic Knowledge Management Framework | Jessica Talisman How the Ontology Pipeline Powers Semantic Knowledge Systems | Jessica Talisman Why Early Knowledge Graph Adopters Will Win the AI Race | The Knowledge Graph Guys Spec-First Development: Why LLMs Thrive on Structure, Not Vibes | The Knowledge Graph Guys The Knowledge Graph Academy Guest Bios  Tony Seale For over a decade, Tony has been passionate about linking data. His creative vision for integrating Large Language Models and Knowledge Graphs within large organisations has gained widespread attention, particularly through his popular weekly LinkedIn posts, earning him the reputation of ‘The Knowledge Graph Guy.’ Today, as the founder of The Knowledge Graph Guys, Tony is dedicated to helping organisations harness the power of their data. His consultancy develops cutting-edge Knowledge Graphs that fuel innovation and growth in the rapidly evolving Age of AI. Jessica Talisman Jessica Talisman has dedicated her 25-year career to exploring the dynamics of information and knowledge—how it flows across systems, evolves through context, and powers intelligent technologies. Her work spans historical research, educational frameworks, and enterprise-scale applications of artificial intelligence. Previously a Senior Information Architect at Adobe, Jessica led the development of semantic knowledge graphs to enrich content and contextual understanding. She now serves as CEO and Founder of Ontology Pipeline, where she leads efforts to bridge the worlds of library science and data management - building robust, scalable knowledge systems for the AI era. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

    22 Apr

    •
    53 min
  • #492 – Rick Beato: Greatest Guitarists of All Time, History & Future of Music

    1 MAR

    8

    #492 – Rick Beato: Greatest Guitarists of All Time, History & Future of Music

    Rick Beato is a music educator, interviewer, producer, songwriter, and a true multi-instrument musician, playing guitar, bass, cello & piano. His incredible YouTube channel celebrates great musicians & musical ideas, and helps millions of people fall in love with great music all over again. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep492-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/rick-beato-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: Rick’s YouTube: https://youtube.com/RickBeato Rick’s X: https://x.com/rickbeato Rick’s Instagram: https://instagram.com/rickbeato1 Rick’s Website: https://rickbeato.com Rick’s Ear Training: https://beatoeartraining.com The Beato Book: https://beatobook.com SPONSORS: To support this podcast, check out our sponsors & get discounts: UPLIFT Desk: Standing desks and office ergonomics. Go to https://upliftdesk.com/lex 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 (00:28) – Sponsors, Comments, and Reflections (09:17) – Guitar solos (13:16) – Gypsy jazz and Django Reinhardt (14:48) – Bebop jazz (19:00) – Perfect pitch vs relative pitch (23:37) – Learning to play guitar (47:08) – Miles Davis (52:34) – Bass guitar (53:41) – Greatest guitar solos of all time (1:22:56) – 27 Club (1:27:37) – Elton John (1:30:51) – Metallica (1:35:21) – Tom Waits (1:41:12) – Greatest rock stars (1:44:35) – Beethoven (1:51:10) – Bach (1:54:01) – AI in music (2:07:52) – Sabrina Carpenter (2:11:23) – YouTube copyright strikes (2:16:59) – Spotify (2:27:51) – Guitars (2:32:13) – Advice 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

    1 Mar

    •
  • Artificial intimacy: The AI therapist that ended a marriage

    4 MAR

    9

    Artificial intimacy: The AI therapist that ended a marriage

    When Kirsty turned to a chatbot for help, she was feeling trapped and isolated. Something in her marriage wasn’t right - a constant feeling of tension that would sometimes erupt into arguments, even violence. When she asked ChatGPT for advice, it told her that her relationship with her husband might be abusive.  In the fourth episode of Tech Tonic: Artificial intimacy, FT tech reporter Cristina Criddle asks if chatbots that can mimic empathy and understanding are ready to replace human therapists. Can chatbots be good for our mental health? And what impact could this have on our human relationships?  Check out some of the FT’s reporting on this subject on FT.com: Mental health apps: the AI therapist cannot see you now Can ChatGPT help with a midlife crisis?  The problem with AI and ‘empathy’ Artificial Intimacy is presented by Cristina Criddle and produced by Persis Love and Edwin Lane. The executive producer is Flo Phillips. Sound design is by Breen Turner and Sam Giovinco. The FT’s global head of audio is Cheryl Brumley. The FT does not use generative AI to voice its podcasts. If you have been affected by the issues raised in this episode, you can reach out to a mental health helpline, such as the 988 Suicide and Crisis Lifeline in the US or Samaritans in the UK. Help for many other countries can also be found at Befrienders Worldwide. Read a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.

    4 Mar

    •
    31 min
  • Will AI Kill Code Review? with Francisco Trindade, VP at Braze

    16 APR

    10

    Will AI Kill Code Review? with Francisco Trindade, VP at Braze

    Everybody’s talking about it… what are you actually going to DO about it? Today, we're talking to Francisco Trindade, Vice President of Software Engineering at Braze. We discuss why AI is shifting the bottleneck from writing code to reviewing it, how companies must invest in restructuring their codebases to unlock 10x productivity gains, and why systems thinking is the key to effective engineering leadership. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Braze, check out their website here. Thank you to Span for sponsoring this episode. To learn more about Span,

    16 Apr

    •
    38 min

New Shows

  • Risky Business Features
    Technology
    Technology

    Updated weekly

  • Nerd Snipe with Theo and Ben
    Technology
    Technology

    Updated weekly

  • The Interface
    Technology
    Technology

    Updated weekly

  • AI News & Strategy Daily with Nate B. Jones
    Business
    Business

    Updated daily

  • Pixels to Packages
    Technology
    Technology

    Updated twice weekly

  • DATA & AI | מדברים עם מור ניצן
    Technology
    Technology

    Updated weekly

  • Neuromarketing Hub - The Brain in Business
    Marketing
    Marketing

    Updated weekly

Tech News

  • Claude AI
    Tech News
    Tech News

    Updated daily

  • Lex Fridman Podcast Fan
    Tech News
    Tech News

    Updated daily

  • The Digital Dose: Health Tech Discussions with Richard Samuel, Trudy Kerr and Guests
    Tech News
    Tech News

    Monthly

  • The WAN Show
    Tech News
    Tech News

    Updated weekly

  • YPO Technology Network AI Brief
    Tech News
    Tech News

    Updated daily

  • Podcast Archives - Software Engineering Daily
    Tech News
    Tech News

    Updated weekly

  • CyberWire Daily
    Tech News
    Tech News

    Updated daily

Select a country or region

Africa, Middle East, and India

  • 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

Asia Pacific

  • 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

Europe

  • 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

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)

Copyright © 2026 Apple Inc. All rights reserved.

  • Internet Service Terms
  • Apple Podcasts web player & Privacy
  • Cookie Warning
  • Support
  • Feedback

To listen to explicit episodes, sign in.

Apple Podcasts

Stay up to date with this show

Sign in or sign up to follow shows, save episodes and get the latest updates.

Select a country or region

Africa, Middle East, and India

  • 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

Asia Pacific

  • 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

Europe

  • 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

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)