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  • Lex Fridman Podcast
    Lex Fridman Podcast

    1

    Lex Fridman Podcast

    Lex Fridman

  • Acquired
    Acquired

    2

    Acquired

    Ben Gilbert and David Rosenthal

  • Whatsapp
    Whatsapp

    3

    Whatsapp

    Rami AP

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

    4

    Lenny's Podcast: Product | Career | Growth

    Lenny Rachitsky

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

    5

    All-In with Chamath, Jason, Sacks & Friedberg

    All-In Podcast, LLC

  • The Vergecast
    The Vergecast

    6

    The Vergecast

    The Verge

  • TikTok
    TikTok

    7

    TikTok

    Catarina Vieira

  • Anthropic S-1 Shocker, Greatest Business Ever? Google's $500B Wipeout, Midterm Predictions

    4 days ago

    Anthropic S-1 Shocker, Greatest Business Ever? Google's $500B Wipeout, Midterm Predictions

    (0:00) Bestie Intros (3:22) Anthropic S-1 Breakdown: Greatest Business Ever? (32:47) AI's Biggest Problem and Anthropic's Doomer Showdown (1:01:57) Google Sheds $500B Market Cap in Worst Day Ever: What Went Wrong? (1:14:17) Final Midterms Predictions and Scenarios 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.semafor.com/article/10/28/2026/all-in-podcast-cools-on-super-intelligence https://x.com/AndrewBenson/status/2115458726396310008 https://www.nbcnews.com/business/markets/anthropic-releases-ipo-filing-ahead-highly-anticipated-stock-debut-rcna605676 https://www.reuters.com/business/anthropic-recorded-net-loss-over-80-billion-first-half-this-year-wsj-reports-2026-10-20 https://x.com/rdominguezibar/status/2114785991462428811 https://x.com/jaminball/status/2115121906630238287 https://www.vox.com/future-perfect/507875/anthropic-ipo-stop-ai-race-safety https://www.anthropic.com/institute/measuring-pace-of-ai-development https://www.nbcnews.com/business/markets/alphabet-google-stock-ai-advertising-rcna606322 https://x.com/EconomyApp/status/2115539079999971384 https://fortune.com/2026/10/28/alphabet-google-stock-drops-cloud-revenue-doubles-free-cash-flow-negative https://x.com/Couch_Investor/status/2115541399898571180 https://x.com/Geiger_Capital/status/2112702741995037179 https://x.com/PatrickRuffini/status/2089729804941594660 https://x.com/maxanderson/status/2080229375773941871 https://www.natesilver.net/p/trump-approval-ratings-nate-silver-bulletin

  • #503 – AI Crisis in Math: Navier-Stokes, Riemann Hypothesis & Complexity Theory

    26 Oct

    #503 – AI Crisis in Math: Navier-Stokes, Riemann Hypothesis & Complexity Theory

    Ankur Moitra, Steven Brunton and Alex Kontorovich are three mathematicians who can speak to this incredible moment in the history of mathematics, when AI solved some of its hardest problems: Navier-Stokes, the quasi-Riemann hypothesis, the unique games conjecture and hundreds of other problems. Ankur Moitra is a mathematician at MIT (visiting the Institute for Advanced Study in Princeton) working in theoretical computer science, who can speak to the unique games conjecture, complexity theory and the mathematics of how AI learns. Steven Brunton is a mathematician and fluid dynamics expert at UW, who can speak to Navier-Stokes, turbulence and machine learning for fluid dynamics. Alex Kontorovich is a mathematician at Rutgers specializing in number theory, who can speak to the Riemann hypothesis, Lean and machine-checked proofs. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep503-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/math-ai-crisis-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: Ankur’s Website: https://people.csail.mit.edu/moitra/ Alex’s X: https://x.com/AlexKontorovich Alex’s Website: https://sites.math.rutgers.edu/~alexk/ Steven’s X: https://x.com/eigensteve Steven’s YouTube: https://youtube.com/@Eigensteve Steven’s Website: https://eigensteve.com Lean: https://lean-lang.org/ SPONSORS: To support this podcast, check out our sponsors & get discounts: Wispr Flow: AI-powered voice dictation app. Go to https://wisprflow.ai/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 Blitzy: AI agent for large enterprise codebases. Go to https://blitzy.com/lex Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to https://netsuite.ai/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:58) – Sponsors, Comments, and Reflections (09:53) – Crisis moment in mathematics (18:10) – Will AI “solve” mathematics? (34:21) – Can AI create new math? (1:13:53) – Riemann hypothesis (1:37:45) – Navier-Stokes (2:03:42) – How nature computes (2:12:35) – Unique Games Conjecture and complexity theory (2:27:28) – How mathematicians think (2:41:05) – Is math invented or discovered? (2:47:13) – Can AI solve P vs NP? (2:57:28) – Why LLMs work so well (3:11:54) – Problems AI can’t solve yet (3:16:23) – Grigori Perelman (3:25:41) – Advice for young people

  • Vergecast: ELIZA, the world's first chatbot

    12 Aug

    Vergecast: ELIZA, the world's first chatbot

    From The Vergecast, this episode takes a look back at one of the earliest chapters in the history of AI. Before Alexa and Siri, there was ELIZA. The first chatbot ever was the creation of a man named Joseph Weizenbaum, who built the bot almost as a magic trick — and then couldn't believe how many people fell for it. David Berry and Mark Marino, two members of a team dedicated to restoring and understanding ELIZA, explain how Weizenbaum created the virtual conversant, why he came to regret it, and what ELIZA can teach us about life in the AI age. We’re also on video! Check us out on YouTube. 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

  • Seinfeld

    19 Oct

    Seinfeld

    Seinfeld, which ended three decades ago, has been watched by 72 million Americans so far THIS YEAR. Behind that incredible stat is an equally incredible business story: obsessive creators, perfect market timing, an ownership structure that aligned incentives for the long term…all of which created a sitcom that became number one by breaking all the rules. Sponsors: Many thanks to our fantastic Fall '26 Season partners: SierraAnthropicSentryWorkOSLinks: Sign up for email updates, get our takeaways and research photos from each episode, and vote on future topics!The Acquired Seinfeld Companion PDFTop of the Rock: Inside the Rise and Fall of Must See TV by Warren LittlefieldComedianThe Seinfeld Chronicles: An Unnecessary Data Exploration by Andy KirkWorldly Partners' Seinfeld Study by Arvind NavaratnamJerry Seinfeld's 2017 Harvard Business Review InterviewAll episode sourcesCarve Outs: Seinfeld - "The Marine Biologist"Seinfeld - "The Jacket"Seinfeld - "The Dinner Party"The Seinfeld Chronicles: An Unnecessary Data Exploration by Andy KirkBuck's of WoodsideTin CanMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00:00 Start00:00:55 Intro00:04:52 Jerry Seinfeld's Stand-Up Origins (1954-1988)00:16:16 NBC Pitches a Late-Night Special (1988)00:21:35 Enter Larry David (1988)00:35:04 Fin-Syn Rules & The Castle Rock Deal00:52:45 Making the Pilot & Test Screening Disaster (1989)01:04:24 Rick Ludwin Saves the Show (1989-1990)01:10:17 Adding Elaine & "No Hugging, No Learning"01:28:41 Season 2 & Defying Network Notes (1991)01:35:56 The Structural Mechanics of Seinfeld01:45:11 Season 4 & "The Contest" (1992)01:57:09 Moving to Must See TV Thursdays (1993)02:07:28 Anatomy of a Production Week & The Harvard Lampoon Writers02:15:44 The Syndication Cash Cow (1995)02:28:36 Larry Leaves, Cast Salaries & Season 9 (1996-1997)02:42:13 Jack Welch's Brunch Offer & Jerry Walks (1997)02:55:04 The Finale & Final TV Economics (1998)03:11:21 The Modern Streaming Era & Netflix's Massive Deals03:17:38 Analysis03:30:00 7 Powers03:34:00 Quintessence03:41:49 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.

  • Will data centers rock the vote?

    22 hr ago

    Will data centers rock the vote?

    It's Election Day in the United States, and data centers have become a core issue in some of the country's most important midterm races. The Verge's Adi Robertson explains why people are uniting against data centers, why they've become a proxy for all kinds of other fights, and how this year's results might change the AI industry going forward. Further reading: Apple is all in on AI — its own and everyone else’s | The Verge OpenAI is quietly renaming data centers ‘compute campuses’ | The Verge GTA VI’s download will need up to 212GB of hard drive space | The Verge Midterm elections 2026: all the news The Verge's investigative series: The Center Will Not Hold The 2026 iPad Mini is a terrific tiny tablet — for a big price 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

  • Blackshades

    1 day ago

    Blackshades

    What if you got infected by a friend who wanted to spy on you? This is the story of how BlackShades spread to more than half a million machines, and 97 people got arrested. SponsorsSupport for this show comes from Drata. Drata is the trust management platform that uses AI-driven automation to modernize governance, risk, and compliance, helping thousands of businesses stay audit-ready and scale securely. Learn more at drata.com/darknetdiaries.Support for this show comes from Ramp. Ramp is a financial operations platform bringing spending visibility and control to AI. With Ramp, you can see spending across AI providers and set real-time controls and guardrails by team and model. Stop guessing where your AI spend is going. Get started with Ramp. Learn more at ramp.com/darknet.Support for this show comes from ThreatLocker. ThreatLocker is a Zero Trust Platform that gives organizations control over what can run and what users and devices can access. It combines prevention with real time detection and automated response, helping security teams stop unauthorized activity and quickly contain compromised machines. Learn how ThreatLocker can strengthen your defenses at threatlocker.com/DarknetView all active sponsors. SourcesFull list of sources on the show page: https://darknetdiaries.com/episode/182/

  • Did Apple's New CEO Fumble His Debut?

    23 hr ago

    Did Apple's New CEO Fumble His Debut?

    Apple beat estimates in John Ternus’s first earnings call, but memory costs loomed. Investors told Anthropic to price its IPO near $1.5T. Google banned a TV box maker for preloading malware. Binance detailed its $6.3B hack. Anthropic said RSI might be imminent. Apple reports Q4 revenue up 12% YoY to $114.48B, above $113.39B est., China revenue up 21% to $17.5B, below $18.9B est., in John Ternus’ first earnings report (Business Wire) Apple guided Q1 sales up 7–10% YoY, above the 6% Wall Street expected, but shares slipped ~3% after-hours on a 45–46% margin forecast and Ternus calling memory pricing “unprecedented” (FT) Opinion: Ternus’s tight-lipped first earnings call missed a chance to talk up the iPhone Duo, Apple’s AI-agent moat, and capex at just 6.5% of Meta’s (Bloomberg) Sources: institutional investors told Anthropic that its IPO valuation should be ~$1.5T to $1.6T, below the $2T range, citing factors like a tech stock selloff (WSJ) Google severs ties with and bans Android TV box maker Videostrong after finding it intentionally preloaded malware to open a backdoor to control the XCPE botnet (9to5Google) Binance says North Korean hackers stole $6.3B through a months-long scheme with fake LinkedIn job interviews and an ad campaign to deliver malicious software (Fortune) S-1: Anthropic says it may “imminently meet” its RSI threshold and may not identify “a significant acceleration” in its development until after it has occurred (TechCrunch) Anthropic’s internal data shows Claude went from leading 1% of its AI R&D work in March to 26% by August; co-founder Jack Clark now thinks RSI arrives in 2027, not 2028 (WSJ) Subscribe to the ad-free feed. AvidXchange is a licensed money transmitter for B2B payments in the United States, licensed as a Money Transmitter by the New York State Department of Financial Services, as well as all other states that require AvidXchange to have a license.

  • An 86-minute guide to finding PMF | Rob Snyder (Author, The Power of Pull)

    25 Oct

    An 86-minute guide to finding PMF | Rob Snyder (Author, The Power of Pull)

    Rob Snyder is the author of The Power of Pull and writes the newsletter The Physics of Startups. He has advised more than 50 startups on growing from zero to $1 million in ARR, drawing on his own experience as a founder who spent two years pushing a product the market didn’t want before accidentally stumbling onto what actually works. In this episode, we walk step by step through his framework for finding product-market fit, from coming up with an idea to closing your first handful of deals. We discuss: 1. The PULL framework: Project, Unavoidable, List of options, Limitations 2. Where the best startup ideas come from 3. Tactics for cold outreach and running your first sales call 4. Why Rob advises against design partners 5. Goblin mode: what to do when nothing is working 6. How to apply the PULL framework inside larger companies — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more DX—Engineering intelligence for the AI era — Where to find Rob Snyder: • LinkedIn: https://www.linkedin.com/in/rsnyder1 • Newsletter: https://thephysicsofstartups.substack.com • Podcast: https://open.spotify.com/show/4Cic56E1UEbU25P3v14Vkq • Website: https://robsnyder.org — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Rob Snyder (01:13) The PULL framework: what makes customers buy (07:30) The “PULL” acronym (09:44) How Jump found pull with financial advisors (13:53) Why pull is discovered, not created (16:10) Selling to a person, not a company (17:13) Finding startup ideas through firsthand experience (22:34) Testing your pull hypothesis with two slides (26:41) Recognizing real buying intent (27:24) When solving your own problem works (29:02) The Hail Mary question that can unlock a pivot (31:01) Common traps to avoid (32:50) Quick recap (34:46) Landing your first customer conversations (39:18) Outreach benchmarks and diagnosing what isn’t working (41:27) How to run your first sales call (46:56) Successful pitch tactics (49:59) Does your product need to be 10 times better? (54:08) Closing the deal (01:00:41) Using the PULL framework to set pricing (01:02:22) Revising your hypothesis and going into goblin mode (01:06:56) Designing onboarding to make customers stay (01:09:28) What churn can teach you about your ideal customer (01:11:37) Building a repeatable case study factory (01:16:15) Applying the framework inside established companies (01:20:03) Lightning round and final thoughts — Referenced: • The PULL framework: https://thephysicsofstartups.substack.com/p/the-pull-framework • The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta • How to find work you love | Bob Moesta (Jobs-to-be-Done co-creator, author of “Job Moves”): https://www.lennysnewsletter.com/p/how-to-find-work-you-love-bob-moesta • Jump: https://jump.ai • Linear’s secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu • Josh Woodward on LinkedIn: https://www.linkedin.com/in/joshwoodward/ • Clearly AI: https://clearly-ai.com • Emily Choi-Greene on LinkedIn: https://www.linkedin.com/in/emilycg • Spanx: https://spanx.com • Floodgate: https://www.floodgate.com • Snoop Dogg on X: https://x.com/SnoopDogg • Jira: https://www.atlassian.com/software/jira • Linear: https://linear.app • “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr • How to close $100K+ enterprise deals, step by step | Jen Abel: https://www.lennysnewsletter.com/p/how-to-close-100k-1m-deals-step-by • Teero: https://www.teero.com • A guide for finding product-market fit in B2B: https://www.lennysnewsletter.com/p/finding-product-market-fit • Retention is the hard part: https://thephysicsofstartups.substack.com/p/retention-is-the-hard-part • Mark Roberge on LinkedIn: https://www.linkedin.com/in/markroberge/ • Ali Ghodsi on LinkedIn: https://www.linkedin.com/in/alighodsi/ • Pride and Prejudice: https://www.imdb.com/title/tt0414387 • Penguins of Madagascar: https://www.imdb.com/title/tt1911658 • Muse: https://muse.ai • Lessons from 1,000+ YC startups: Resilience, tar pit ideas, pivoting, more | Dalton Caldwell (Y Combinator, Managing Director): https://www.lennysnewsletter.com/p/lessons-from-1000-yc-startups • Lemlist: https://www.lemlist.com — Recommended books: • The Power of Pull: What You Need to Know About Customer Demand to Build a Successful Startup (and Why Most Founders Get It Wrong): https://www.amazon.com/Power-Pull-Customer-Successful-Founders/dp/1541705955 • The Nature of Order, Book One: The Phenomenon of Life: An Essay on the Art of Building and the Nature of the Universe: https://www.amazon.com/dp/B0BHLGZHHD • The Nature of Order, Book Two: The Process of Creating Life: An Essay on the Art of Building and the Nature of the Universe: https://www.amazon.com/Nature-Order-Book-Two-Creating-ebook/dp/B0F2SMKQT8 • The Nature of Order, Book Three: A Vision of a Living World: An Essay on the Art of Building and the Nature of the Universe: https://www.amazon.com/dp/B0F2SS62LG • The Nature of Order, Book Four: The Luminous Ground: https://www.amazon.com/Luminous-Ground-Building-Alexander-Christopher/dp/B00CB5JTI6 — 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

  • Abundant Intelligence at the Midwest AI Summit

    6 days ago

    Abundant Intelligence at the Midwest AI Summit

    In this special episode, we bring you highlights from three talks at the Midwest AI Summit. Heidi Porter explores how to build reliable AI-augmented workflows using the right tools, evaluations, and guardrails. Kevin Solorio shares why building AI with frontline workers, not just for them, is key to earning trust and driving adoption, emphasizing collaboration and continuous feedback. And Chris Shinkle and Andrew Dunlap of SEP discuss how software teams can find the right level of AI autonomy based on their goals, constraints, and verification needs, sharing lessons from teams using AI to build software more effectively. Featuring:  Heidi Porter – LinkedInKevin Solorio – LinkedInChris Shinkle – LinkedInAndrew Dunlap – LinkedInDaniel Whitenack – Website, GitHub, XLinks: Moyer Group AISEPFocusedSponsors: Hostinger: Create your website today. Go to hostinger.com/practical and use practical for 10 percent off now.Resources and Events: Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026Chris’s new book The Art of Swarming will be published soon, written to be the seminal foundational book for the fledgling swarming industry, defining the principles and architecture that enable autonomous agentic UxS swarms with emergent unified embodied intelligence.

  • Cloud gaming works — but it's not winning

    1 day ago

    Cloud gaming works — but it's not winning

    Streaming all your video games seems like such a good, simple idea. All your games, everywhere, on any screen you like — it's the dream! The Verge's Sean Hollister explains how the tech works now (which might be better than you think), why it'll take a huge amount of work to make it even a little bit better, and why games like Grand Theft Auto VI probably can't just live in the cloud. Further reading: SpaceX could buy Boost Mobile as part of its big mobile carrier plans | The Verge Anthropic’s updated S-1 has even more eye-popping numbers. | The Verge More European supermarkets are getting their freezers hacked | The Verge 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

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  • Niger (English)
  • Nigeria
  • Oman
  • Qatar
  • Congo, Republic of
  • Rwanda
  • São Tomé and Príncipe
  • Saudi Arabia
  • Senegal
  • Seychelles
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  • 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
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  • Österreich
  • Belarus
  • Belgium
  • Bosnia and Herzegovina
  • Bulgaria
  • Croatia
  • Cyprus
  • Czechia
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  • Malta
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  • Montenegro
  • Nederland
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  • Romania
  • Россия
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  • 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)