Podcasts about Costco

Whitney combats our falling empire with prat falls and takes a deep dive on why we are all so obsessed with Carolyn Bessette Kennedy and then she talks plots and coffins in the ocean.  Tickets for The Big Baby Tour https://www.whitneycummings.com SHOP: https://whitneycummings.com/index.html#store Thank you to our sponsors! OLIPOP #ad Get a free can of OLIPOP when you buy any 2 cans in store — they'll pay you back for one. Works on any flavor, any retailer.https://drinkolipop.com/WHITNEY OLIPOP is sold online at https://drinkolipop.com and on Amazon, and also available nationwide at retailers including Walmart, Target, Costco, and Whole Foods. Cash App #ad Download Cash App Today: https://capl.onelink.me/vFut/at0cwdk7 Use code CASHAPP10 at signup and send $5 to a friend within 14 days to earn $10 if you're a new customer. Terms apply. #CashAppPod Cash App is a financial services platform, not a bank. Banking services provided by Cash App's bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. See terms and conditions at https://cash.app/legal/us/en-us/card-agreement. Cash App Green, overdraft coverage, borrow, cash back offers and promotions provided by Cash App, a Block, Inc. brand. Visit http://cash.app/legal/podcast for full disclosures. Huel #ad Limited Time Offer – Get Huel today with my exclusive offer of 15% OFF online with my code WHITNEY15 at:https://huel.com/WHITNEY15 New customers only. Thank you to Huel for partnering and supporting our show! Jones Road Beauty #ad Use code WHITNEY at Jones Road Beauty to get a Free Shimmer Face Oil with your first purchase:https://jonesroadbeauty.com #JonesRoadBeauty #ad DraftKings Casino #ad New players can wager $5 and get 500 spins over 10 days on your choice of Cash Eruption slots with code WHITNEY. Download the DraftKings Casino app and sign up with code WHITNEY. Terms: https://casino.draftkings.com/promos

Headlines:  – Welcome To Mo News (02:00) – U.S. Enters Third Week of War With Iran; Fighting May Continue For Weeks (09:15) – Airline CEOS Warn Shutdown Is Disrupting U.S. Travel (26:00) – Triple-Threat' Megastorm Threatens 200 Million Americans (30:20) – Michigan Synagogue Attacker Linked to Hezbollah Terrorists (32:30) – ISIS-Linked Old Dominion Gunman Freed Early From Prison (35:00) – Chants For Hezbollah, Hamas, Islamic Regime In NYC (36:30) – New Cholesterol Standards Aim to Prevent Heart Attacks Earlier (39:00) – Costco To Offer Discounted IVF Treatments And Fertility Care (41:15) – Oscars 2026: One Battle After Another Dominates (43:15) – On This Day In History (46:30) Thanks To Our Sponsors:  –⁠ Industrious⁠ - Coworking office. 50% off day pass | Code: MONEWS50 – Surfshark - 4 additional months of Surfshark VPN | Code: MONEWS – Monarch - 50% off your first year | Code: MONEWS – Factor - 50% off your first box | Code: monews50off – ShipStation - Try for free for 60 days | Code: MONEWS – Shopify – $1 per-month trial | Code: MONEWS

Al & Jerry: Gym memberships, Linkd-In and Shaun Morash's Costco snack closet--plus warm up To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Al & Jerry: Gym memberships, Linkd-In and Shaun Morash's Costco snack closet To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

From 'Al & Jerry's Postgame Podcast' (subscribe here): Gym memberships, Linkd-In and Shaun Morash's Costco snack closet To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Kasim Aslam's journey from welfare baby to a seven-million-dollar net worth entrepreneur demonstrates the transformative power of failure combined with calculated risk management. His philosophy centers on a crucial principle: manage downside risk while failing aggressively in all aspects of life. The 2008 financial collapse stripped him of everything, leaving him eating free samples at Costco, yet this crucible taught him that money is fuel, not wealth, fundamentally reshaping his relationship with success and removing the hunger for acquisition that once drove him forward. Beyond his business ventures, Kasim's worldview is shaped by a deep commitment to questioning arbitrary societal systems and advocating for those marginalized by them. His brother's incarceration for nonviolent drug crimes stemming from pharmaceutical addiction highlighted the hypocrisy of legal systems that criminalize individuals while protecting corporations. This injustice informs his broader philosophy about entrepreneurship, education, and human potential—he believes society systematically suppresses entrepreneurial minds through rule-focused education systems and punitive legal structures rather than creating legitimate channels for their ambition. For those seeking to understand the principles of effective delegation, strategic business scaling, and the psychology of entrepreneurial success, Kasim Aslam offers invaluable resources and insights. Visit his website to access his free hiring book, workbooks, cheat sheets, and global job board—democratizing knowledge typically requiring expensive consultants. Explore his mastermind communities designed to support entrepreneurs in building strong teams and implementing effective delegation strategies. For the accessible version of the podcast, go to our Ziotag gallery.We're happy you're here! Like the pod?Support the podcast and receive discounts from our sponsors: https://yourbrandamplified.codeadx.me/Leave a rating and review on your favorite platformFollow @yourbrandamplified on the socialsTalk to my digital avatar Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week Allison is joined by fitness creator and entrepreneur Chloe Gottschalk Bounds. The two moms chat about working out during pregnancy, balancing fitness with kids and marriage, and what staying active actually looks like when life is busy. It's a fun, honest conversation about mom life, movement, and making a little time for yourself.Sponsors: Olipop: OLIPOP is sold online (drinkolipop.com/SUNDAY + Amazon) and available in the soda aisle and with the chilled beverages at thousands of retailers nationwide, including Walmart, Target, Costco, and Whole Foods.Quince: Go to Quince.com/sunday for free shipping on your order and 365-day returns. Bobbie: If you want to feed with confidence too, head to HiBobbie.com to find the formula trusted by parents and loved by their babies — 700k and counting.Kalshi: Click the link http://kalshi.com/r/ssc or download the Kalshi App and use code SSC to sign up and trade today! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The You Tried Dat?? gang takes a trip to Costco to pick up some Kirkland Signature Seaweed and pit it against Zachary Old Fashioned Vanilla Creme Drops and Marinela Tart-A-Lets.  They also discuss a training seminar with a former bouncer before playing a game of Would You Rather? Follow us on Instagram to see pictures of the snacks @youtrieddat.

he Golden Crew is back, and this week Trevor runs through a comprehensive list of the most bizarre rules and banned items across cruise lines — from Samsung Galaxy Note 7s still being on Disney's no-go list to non-collapsible lightsabers being classified as weapons. Plus, Carnival bans upside-down pineapple behavior, Tom barely survives Oklahoma tornado season, the crew debates Carnival's new brunch menu (breakfast Philly, anyone?), and Jen owes the Costco community a major apology. Grab a drink of the day — just not from a box — and sail in!

(March 13, 2026) IT’S FOODIE FRIDAY! Food enthusiast and host of ‘The Fork Report’ on KFI Neil Saavedra joins Bill to talk about whether the time you eat matters, Costco’s caramel churro sundaes, and frozen breakfast pizzas. The show closes with ‘Ask Handel Anything.’See omnystudio.com/listener for privacy information.

This Omni Talk Retail Fast Five segment, sponsored by the A&M Consumer and Retail Group, Mirakl, Ocampo Capital, Infios, Quorso, and Veloq, examines Costco's pledge to return any tariff refunds directly to members. Chris Walton and Jenn Hahn debate whether this move reflects Costco's long standing value promise or a strategic messaging play during a complicated economic moment. ⏩ Tune in for the full episode here: https://youtu.be/qZQHl9r-BUc #RetailNews #Costco #RetailEconomics #RetailStrategy #RetailIndustry #OmniTalk #RetailFastFive

Ann Arundle Food Bank is working to make food boxes for TSA workers. Costco offers fertility meds for their members. 8 more emojis are coming to the iPhone. Make sure to also keep up to date with ALL our podcasts we do below that have new episodes every week: The Thought Shower Let's Get Weird Crisis on Infinite Podcasts See omnystudio.com/listener for privacy information.

Companies are now facing class action lawsuits from customers claiming they are owed tariff refunds. Greg and Jim discuss the latest.

IT’S FOODIE FRIDAY! Food enthusiast and host of ‘The Fork Report’ on KFI Neil Saavedra joins Bill to talk about whether the time you eat matters, Costco’s caramel churro sundaes, and frozen breakfast pizzas.See omnystudio.com/listener for privacy information.

This Day in Legal History: Butler ActOn March 13, 1925, the Tennessee General Assembly approved the Butler Act, a statute that made it unlawful for public school teachers to present any theory that denied the biblical account of human creation. The law specifically prohibited teaching that humans evolved from lower forms of life, reflecting growing tensions between scientific ideas and religious beliefs in early twentieth-century America. Tennessee lawmakers framed the statute as a way to protect traditional moral values in public education. Critics, however, immediately argued that the law restricted academic freedom and undermined the teaching of modern science.The controversy quickly escalated when a young teacher, John T. Scopes, agreed to challenge the statute. Scopes was charged with violating the Butler Act after he allowed evolution to be discussed in his classroom. His prosecution led to the famous 1925 Scopes “Monkey” Trial in Dayton, Tennessee. The trial drew national attention and featured two of the era's most prominent legal figures: Clarence Darrow for the defense and William Jennings Bryan for the prosecution. Their courtroom clash turned the case into a dramatic public debate over science, religion, and the role of government in shaping school curricula.Although Scopes was ultimately convicted and fined $100, the trial exposed deep cultural divisions within the United States. Media coverage portrayed the proceedings as a symbolic struggle between modern scientific thinking and religious fundamentalism. Over time, the Butler Act came to be seen by many as an example of government overreach into education and intellectual inquiry. Tennessee formally repealed the statute in 1967, decades after the trial had become a lasting symbol of the conflict between science and law.Federal Circuit Judge Pauline Newman has asked the U.S. Supreme Court to review her ongoing challenge to a suspension imposed by her fellow judges. In a petition filed Thursday, the 98-year-old judge argues that the D.C. Circuit wrongly ruled that courts cannot review many challenges to judicial suspension orders under the Judicial Conduct and Disability Act. Newman contends that the statute should allow review when suspension decisions violate the law or the Constitution. Her petition claims the lower court misinterpreted the law by blocking challenges to actions that exceed the authority granted under the statute. Newman argues that her suspension effectively removes her from the bench without impeachment, which she says undermines constitutional protections for judicial independence and lifetime tenure.The Federal Circuit's judicial council first suspended Newman in 2023 after concerns that potential mental or physical health issues made her unable to perform judicial duties. The suspension followed her refusal to undergo medical evaluations requested by her colleagues and was characterized as serious misconduct. Although the suspension was initially set for one year, it has been renewed twice. Newman appealed through the internal judicial review process, but a national committee of judges upheld the suspension in 2024. She also challenged the suspension in federal court, arguing that parts of the judicial discipline law are unconstitutional. Both a district court and the D.C. Circuit dismissed the case, relying on a statutory provision stating that disciplinary orders under the act are final and not subject to judicial review. Newman now asks the Supreme Court to clarify whether courts may still review suspension orders that allegedly exceed legal or constitutional limits.Judge Newman Takes Suspension Battle To Supreme Court - Law36098-year-old judge asks US Supreme Court to hear case over her suspension | ReutersThe U.S. Commodity Futures Trading Commission (CFTC) has begun the process of developing regulations for prediction markets, issuing an advance notice of proposed rulemaking and asking the public for input on how the industry should be governed. The agency said the move is intended to support innovation while ensuring prediction markets operate within the framework of the Commodity Exchange Act. Interest in regulation has grown as more companies apply to register as designated contract markets, with many applications coming from prediction market platforms. These platforms allow users to trade on the outcomes of events such as sports games, elections, and entertainment awards.The CFTC is seeking feedback on several issues, including whether margin trading should be allowed, what types of event contracts might be harmful to the public interest, and whether individuals with insider knowledge should be restricted from trading on certain outcomes. At the same time, the agency released staff guidance reminding platforms to avoid contracts that could be easily manipulated, such as those tied to specific player injuries or actions by a single referee. The guidance also explains that platforms can list new contracts through a self-certification process, although the CFTC can intervene if it believes a contract violates the law.The regulatory effort comes amid ongoing legal disputes about who has authority over prediction markets. The CFTC maintains that it has exclusive jurisdiction, while several states have attempted to regulate or restrict these platforms under gambling laws. Meanwhile, members of Congress have introduced legislation that would ban certain types of event contracts, including those related to violence or death, and strengthen rules against insider trading on prediction markets.CFTC Proposes Prediction Markets Rule - Law360CFTC Seeks Public Comment on Advanced Notice of Proposed Rulemaking Relating to Prediction MarketsThe Trump administration has filed a lawsuit against California seeking to block the state's Advanced Clean Cars I (ACC I) regulations, arguing that the rules unlawfully interfere with federal authority over vehicle fuel economy standards. The lawsuit, brought by the U.S. Department of Justice and the Department of Transportation, targets California rules adopted in 2012 that require automakers to sell increasing numbers of low-emission and zero-emission vehicles. Federal officials claim the regulations effectively force manufacturers to meet stricter nationwide standards and function as a quota system for electric vehicles.According to the complaint, California cannot impose its own limits on vehicle emissions because the federal Energy Policy and Conservation Act gives the federal government authority to set fuel-economy standards through the National Highway Traffic Safety Administration. The administration argues that California's requirements could increase vehicle prices, reduce consumer choice, and disrupt the national auto market. Federal officials also say Congress revoked certain Clean Air Act waivers in 2025 that previously allowed California to enforce some emissions rules.California leaders strongly dispute the lawsuit and say the state is defending policies designed to reduce pollution and expand access to cleaner vehicles. State officials argue the federal government is attempting to undermine California's environmental regulations and its efforts to lead the transition to cleaner transportation. The lawsuit is part of a broader series of legal disputes between the federal government and California over vehicle emissions standards and electric-vehicle mandates.Feds Sue To Stop California's ‘Illegal' EV Regulations - Law360U.S. Customs and Border Protection (CBP) told a federal court that it is making progress on a system to refund about $166 billion in tariffs that were ruled unlawful. According to a court filing, the agency's four-part refund system is between 40% and 80% complete, with the review portion the most developed and the mass-processing component the least finished. The system will include an online portal where importers and brokers can submit claims for reimbursement.The filing was submitted to the U.S. Court of International Trade in response to an order from a judge directing the government to begin refunding tariffs after the U.S. Supreme Court struck down most of the tariffs in February. The Court's decision invalidated tariffs collected since February 2024 but did not explain how refunds should be handled. CBP previously suggested building a new system to process claims rather than using its existing process, and officials say the new portal could begin accepting applications as soon as mid-April.More than 330,000 importers paid the tariffs on roughly 53 million shipments, though only about 21,000 importers are currently registered to receive refunds. Refunds will go only to the companies that originally paid the tariffs, and there is no legal requirement that businesses pass the money on to consumers. Some companies, including FedEx, have said they will reimburse customers, while Costco indicated it may lower prices using the refunded funds. Meanwhile, new legal disputes are emerging as businesses and states challenge additional tariffs imposed after the Supreme Court ruling.US customs agency says building system for tariff refunds is 40% to 80% complete | Reuters This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

Meg, Hal and Symphony discuss episode 201 of Welcome to Night Vale: The Delivery Man. They chat about this episodes structure, red wood trees in Night Vale and automatons . In the FanZone Calzone™ we hear from fans about Costco, relics of 1983 and fursonas. Find out more about calzones on our Patreon. www.patreon.com/goodmorningnightvale Follow us on Facebook. Good Morning Night Vale is a production of Night Vale Presents Hosted by Symphony Sanders, Hal Lublin, and Meg Bashwiner Produced by Meg Bashwiner Edited by Felicia Dominguez Mixed by Vincent Cacchione Theme Music by Disparition Learn more about your ad choices. Visit megaphone.fm/adchoices

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Steve, Beka, Matt W., Justine & Katie talk Last Drop (who they are) and their latest release that ended up in Costco. TBD music by Kevin MacLeod (incompetech.com).   Important Links: Patreon: https://www.patreon.com/theabvnetwork Our Events Page: bourbonpalooza.com Check us out at: abvnetwork.com. The ABV Barrel Shop: abvbarrelshop.com   Join the revolution by adding #ABVNetworkCrew to your profile on social media.

This week on Two Parents & A Podcast we're celebrating Harrison's BIRTHDAY (with a gift reveal on camera!!), debating a tiny relationship lie that has the internet divided (it involves key lime pie lol), and talking about a parenting question we genuinely didn't know the answer to: what bathroom should girl dads take their daughters to in public?!  We get into the new screen time guidelines for kids from the American Academy of Pediatrics and why the conversation around screens is shifting from “how much” to “how and why” (+ the new DESSERT analogy we love). Plus: Harrison's getting in shape before baby boy arrives (+ his new focus on sleep), we officially started our sourdough era, and we've got THE SUIT that Harrison plans to wear when he brings baby boy home from the hospital. Later in the episode we talk about a neighborhood school Q&A that made us really excited about the future, whether travel actually helps toddlers hit developmental milestones (spoiler alert: IT DOES!!!), and something we saw that we think is really cool: Costco helping make IVF treatment more affordable for families. Finally, we answer a listener question for Dr. Ari about introducing allergens when a parent has allergies. LOVE YOU GUYS. Thanks for listening!!!!  Timestamps:  00:00:00 Welcome back to Two Parents & A Podcast! 00:01:38 HAPPY BIRTHDAY, HARRISON!  00:07:47 BICKER OF THE WEEK: Is THIS tiny relationship lie OK?!  00:10:35 Asking for forgiveness vs. permission 00:19:41 We've got our sourdough starter!  00:23:35 Harrison got the suit he will wear home from the hospital! 00:27:45 Getting in shape before the baby is born 00:32:23 Can lack of sleep cancel out the benefits of exercise? 00:40:33 School Q&A happy hour with neighborhood moms  00:48:58 THINGS WE DMED EACHOTHER: The AAP's new screen time guidelines for kids 00:59:10 Where should dads take daughters to the bathroom? 01:05:56 Do you remember the first time you got lost?!  01:07:41 We're going to Disney World!!!! 01:17:38 Travel actually DOES help toddlers hit milestones  01:21:07 THINGS WE DMED EACHOTHER: Costco making IVF more affordable?! 01:24:28 IN THE COMMENTS: A listener question for Dr. Ari: introducing allergens when YOU have allergies?!  01:26:24 LOVE YOU GUYS! #twoparentsandapod --------------------------------------------------------------- Thank you to our sponsors this week: *Bobbie: If you want to feed with confidence too, head to https://www.hibobbie.com for the formula trusted by 700,000+ parents. *Little Spoon: Simplify your kids' mealtimes. Go to https://www.littlespoon.com/TWOPARENTS and enter our code TWOPARENTS at checkout to get 30% OFF your first Little Spoon order. *Merit Beauty: Right now, Merit Beauty is offering our listeners their Signature Makeup Bag with your first order at https://www.meritbeauty.com *Perelel: Exclusive for our listeners, new customers can enjoy 20% off their first order with code TWOPARENTS - Visit https://www.perelelhealth.com *Cozy Earth: Go to https://www.cozyearth.com/TWOPARENTS for up to 20% off! --------------------------------------------------------------- Listen to the pod on YouTube/Spotify/Apple: https://www.youtube.com/@twoparentsandapod https://open.spotify.com/show/7BxuZnHmNzOX9MdnzyU4bD?si=5e715ebaf9014fac https://podcasts.apple.com/us/podcast/two-parents-a-podcast/id1737442386 --------------------------------------------------------------- Follow Two Parents & A Podcast: Instagram | https://www.instagram.com/twoparentsandapod TikTok | https://www.tiktok.com/@twoparentsandapod Follow Alex Bennett: Instagram | https://www.instagram.com/justalexbennett TikTok | https://www.tiktok.com/@justalexbennett Follow Harrison Fugman: Instagram | https://www.instagram.com/harrisonfugman TikTok | https://www.tiktok.com/@harrisonfugman --------------------------------------------------------------- Powered by: Just Media House – https://www.justmediahouse.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Costco is adding new lower casts fertility medications. Eight new emojis have dropped. Drinking more coffee could cause better mental health. Fred reads the sexiest American accents.See omnystudio.com/listener for privacy information.

Today on the Woody and Wilcox Show: Chelsea's sickness; Movies/tv shows to watch; Costco is now offering fertility services; Radio station neighbor has weird viewing habits; Chelsea plays Woody Game Wednesday; People are receiving 1099s from Uber when they did not work for Uber; Friday the 13th deals; And more!

This week on Enjoying Orange Slices with Jeff & Ian

Is the best grocery platform one that decides what it WON'T sell?That is the bet Ayyappan is making with FirstClub. Fewer products. Stricter rules. While most quick commerce apps are trying to deliver orders faster, he is asking a different question. What if consumers need not “faster or cheaper”, but a retail platform where they can trust every item listed on it?A place where you do not have to read every label, check multiple reviews, or wonder if the top result is there because a brand paid for it. FirstClub is trying to solve a harder problem. It is trying to define what “quality” means for everyday products we consume, starting with groceries.India has received the highest quick commerce funding of any country in the world, at $9.24B over the last 10 years. Yet only 1% of Indians use quick commerce services today. With a large market still open for expansion and the possibility of better unit economics over time, FirstClub is building a countertrend to the hype around Indian quick commerce.Ayyappan brings eleven years of experience at Flipkart, and has also served as SVP at Myntra and CEO of Cleartrip. FirstClub also just raised a $50 million round and doubled its valuation in under six months. This episode is the story till here and the plans ahead for Firstclub.00:00 – Trailer01:01 – The Costco of Indian quick commerce04:32 – Building a counter-trend company06:15 – What consumers say v/s what they actually want09:37 – The only retail platform to Ban 200 ingredients12:34 – Why can't the big players solve this?13:21 – A simple rule of thumb for food16:03 – Brand stories from FirstClub19:20 – Is the problem access or income?21:29 – Who are the 20 million FirstClub consumers?24:14 – Only 1% of India uses quick commerce26:04 – What does “quality” mean in grocery?32:34 – How will FirstClub monetize without brand sponsorships?34:53 – Do consumers behave differently across categories?39:30 – Why is Myntra so powerful in fashion?42:24 – What Myntra taught Ayyapan that Flipkart didn't?43:53 – Unlearning to build for Quick commerce48:25 – Why Indian consumers are very experimental today50:59 – Is India one country when it comes to quality?52:43 – If Ayyappan was a product, what would he be?54:47 – The hardest belief to defend while building FirstClub56:26 – Akshayakalpa & The Whole Truth57:48 – Not niche, but premium-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/neon-fund/X: https://x.com/TheNeonShowwConnect with Nansi on:LinkedIn: https://in.linkedin.com/in/nansi-mishraX: https://x.com/nansi_mishra-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send a text

Mark, Melynda and Ed discuss the attack on a synagogue in Michigan, Costco being sued, and the Save America Act.See omnystudio.com/listener for privacy information.

INTRO (00:24): Kathleen opens the show drinking a Conway's Irish Ale from Great Lakes Brewing Company in Cleveland. She reviews her weekend in Pittsburgh and Cleveland, visiting her favorite Cleveland dive bar and seeing her first Faberge egg.     TOUR NEWS: See Kathleen live on her “Day Drinking Tour.”   TASTING MENU (4:26): Kathleen samples Pennystick's Stick Pretzels, Ballreich's Buffalo Garlic Parmesan Chips, and Sarris Candies Milk Chocolate Covered Pretzel Rods.    COURT NEWS (41:12): Kathleen shares news about Dolly Parton's Songteller Hotel in Nashville confirming an opening date, and Taylor Swift is credited for Travis Kelce's return to the Kansas City Chiefs 2026 roster.    HOLLYBOBBY (25:05): HollyBobby provides the latest news in Hollywood.    UPDATES (45:00) : Kathleen shares updates on Britney Spears' DUI, stowaway Svetlana Dali sneaks on another European flight, Punch the Japanese snow monkey has outgrown his orangutan stuffed animal, Elon's proposed Tesla tunnel loop meets opposition in Nashville,     FRONT PAGE PUB NEWS (1:03:52): Kathleen shares articles on the history of Faberge eggs, Ticketmaster experiences further issues with the Metallica Sphere onsale, Southwest considers only cleaning premium seats, Costco plans to build apartments over their warehouse stores,  American Airlines could be downgrading their crew hotels, David Copperfield retires from his Vegas residency, the current owner of Epstein's island is revealed, and the woman who designed the iconic Vegas sign never made a fortune on her design.    HOLY SHIT THEY FOUND IT (1:01:35): Kathleen reads about a lost Rembrandt rediscovered in Amsterdam.    WHAT ARE WE WATCHING (42:13): Kathleen recommends watching “Love Story” on FX, and “Death By Lightening” on Netflix.    SAINT OF THE WEEK (1:32:14): Kathleen reads about St. Damien of Molokai, patron saint of lepers.    FEEL GOOD STORY (1:26:11): Kathleen shares a story about a golden doodle who gets a happy ending after being abandoned at a Las Vegas airport ticket counter. 

Jeff Staple vs Jordan 4, Off-White sold in Costco, Wear what you sell, and Sneaker releases. Thesneakdiss.com IG:@thesneakdiss_sneaker_podcast Twitter:@the_sneakdiss Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Would you want a surprise party like this?

In this week's Omni Talk Retail Fast Five, A&M Consumer and Retail Group, Mirakl, Ocampo Capital, Infios, Quorso, and Veloq, Chris and guest host Jenn Hahn of J Recruiting Services discussed: Walmart expanding its digital shelf label technology to all 4,600 of its US stores, completing what is likely the single largest ESL rollout in retail history (Source) Costco CEO Ron Vachris is publicly pledging to return any tariff refunds directly to members through lower prices (Source) Kroger creating a new Chief Data and AI Officer role by elevating Milen Mahadevan, president of its 84.51 analytics subsidiary, to lead its entire AI and data agenda (Source) Kroger deploying autonomous inventory drones from Corvus Robotics into sub-freezing cold chain distribution facilities (Source) Dick's Sporting Goods, thanks to its Move fitness rewards app, unexpectedly rocketing to #3 on the Apple App Store free download chart, landing right between Claude and Gemini (Source) And Jenn also helped us hand out this month's OmniStar Award — given in partnership with Quorso — to Mark Chenier, SVP GMM of Footwear at Academy Sports and Outdoors! There's all that, plus nihilist penguins, spring break plans, March Madness predictions, and green beer. Music by hooksounds.com #RetailNews #WalmartESL #DigitalShelfLabels #KrogerAI #RetailTech #CostcoTariffs #RetailPodcast #OmniTalk #RetailFastFive #DicksSportingGoods #OmniStar #RetailInnovation

En este episodio de No Hay Tos, Héctor y Beto analizan la captura de El Mencho y el caos que siguió en México: narcobloqueos, autos y hasta un Costco quemado. También discuten cómo los medios, las redes sociales y el turismo reaccionaron ante los eventos, y reflexionan sobre la normalización de la violencia en el país. If you'd like to listen to our episodes ad-free and get the full word-for-word transcript of this episode — including English explanations and translations of Mexican slang and colloquial expressions — visit us on Patreon. You can also find more content and resources on our website: nohaytospodcast.com If the podcast has been helpful to you, please leave us a review on Apple Podcasts — it really helps! And if you prefer video, check out our YouTube channel. No Hay Tos is a Spanish podcast from Mexico for students who want to improve their listening comprehension, reinforce grammar, and learn about Mexican culture and Mexican Spanish. All rights reserved. No Hay Tos is a Spanish podcast from Mexico for students who want to improve their listening comprehension, reinforce grammar, and learn about Mexican culture and Mexican Spanish. All rights reserved.

In this wide-ranging episode Steve Dennis and Michael LeBlanc are joined by special guest co-host Kevin Ertell, retail veteran, former Nike executive, and author of The Strategy Trap. The episode blends breaking retail news with a live interview recorded at the NRF Big Show featuring Malin Andrée, Global Retail Sector Leader at EY, and Jon Copestake, Global Lead Retail Analyst at EY Insights. The episode begins with an analysis of one of the most significant geopolitical developments impacting the global economy: the escalating Iran war and its ripple effects on retail markets. Rising oil prices and potential disruptions through the Strait of Hormuz threaten to increase shipping costs and add new uncertainty to global supply chains. The hosts also dive into the latest retail earnings reports, highlighting challenges and future opportunities under new leadership at Target, mixed performance at Gap and continued momentum from Costco. They also examine the rapid growth of athletic brand On, whose strong sales growth contrasts with cautious forward guidance, and discuss what it signals about competition with legacy players like Nike with Kevin's expert and experienced analysis. The episode then shifts to a fascinating interview with Malin Andrée, EY Partner, Global Retail Industry Leader and Jon Copestake Global Lead Retail Analyst, EY Insights, who share insights from EY's latest consumer research and industry analysis. Their discussion explores the changing dynamics of luxury retail, including growing consumer interest in resale and second-hand luxury markets, which are being driven by affordability concerns, sustainability awareness and improved authentication platforms. Andrée and Copestake also address the accelerating role of retail AIl, from operational improvements to emerging consumer-facing applications such as AI-driven product discovery and shopping assistance. While AI investment is surging across the industry, they emphasize the importance of balancing technology with human-centered retail experiences, arguing that the human touch will remain a key differentiator even as AI capabilities become table stakes. The episode concludes with the hosts' Remarkable Story of the Week and What's on the Radar segments, including discussions about Simon Property Group's strategic maneuvering around the Saks Global bankruptcy and Walmart's rollout of digital shelf labels across its stores. About UsSteve Dennis is a strategic advisor and keynote speaker focused on growth and innovation, who has also been named one of the world's top retail influencers. He is the bestselling author of two books: Leaders Leap: Transforming Your Company at the Speed of Disruption and Remarkable Retail: How To Win & Keep Customers in the Age of Disruption. Steve regularly shares his insights in his role as a Forbes senior retail contributor and on social media.Michael LeBlanc is a senior retail advisor, keynote speaker and media entrepreneur. Michael has delivered keynotes, hosted fire-side discussions hosted senior retail executive on-stage in 1:1 interviews worldwide. Michael produces and hosts a network of leading retail trade podcasts, including The Remarkable Retail Podcast, The Voice of Retail The Food Professor, The FEED powered by Loblaw and the Global eCommerce Leaders podcast. He has been recognized by the NRF as a global Top Retail Voice for 2025 and 2025 and continues to be a ReThink Retail Top Retail Expert for the fifth year in a row.

You might have a few pots of herbs and flowers in your backyard, but what if you want to dream bigger? Maybe you're thinking of raising some chickens and building a coop, or you've decided this is the year to install an in-ground pool and buy that sauna from Costco. But before you make a trip to Home Depot, we're here to help you review Pittsburgh's rules for how many animals you can keep, what you need a permit for, and more. We're bringing back an episode with Host Megan Harris, newsletter editor Francesca Dabecco, and prize-winning gardener Kaydi Gratzer, where they talk through what's allowed and what's off limits in your Pittsburgh backyard. Need a refresh? We've put our do's and don'ts up on our website, and head over to OneStopPGH to apply for a permit for your next DIY.  **This episode originally aired on August 4, 2025. Still have a question about your backyard? Call or text the HELP ME hotline at 412-212-8893. Learn more about the sponsors of this March 10th episode: AIDS Free Pittsburgh Heinz History Center Liberty Magic The Westmoreland Carnegie Library Your City Could Be Better Become a member of City Cast Pittsburgh at membership.citycast.fm. Want more Pittsburgh news?  Sign up for our daily morning newsletter. We're on Instagram @CityCastPgh. Text or leave us a voicemail at 412-212-8893. Interested in advertising with City Cast? Find more info here. 

In this episode, we dive into Union Pacific CEO Jim Vena's defense of the proposed $85 billion merger with Norfolk Southern, which he claims will vastly improve rail efficiency and convert two million truckloads to rail annually. Despite an initial rejection from the Surface Transportation Board, the rail companies are gearing up to file an updated application this April. Next, we cover the growing legal battle where a coalition of 24 states and major corporations are suing the Trump administration over sweeping 10% import tariffs. Importers like Nintendo and Costco are seeking billions in refunds, arguing that the administration unlawfully bypassed Congress to levy these emergency duties. Finally, we examine how the war in Iran has severely disrupted ocean freight, prompting the world's largest shipping line to terminate all Arabian Gulf voyages. With the Strait of Hormuz effectively closed, MSC is diverting shipments to safe ports and hitting shippers with a mandatory $800 surcharge per container to cover deviation costs. Follow the FreightWaves NOW Podcast Other FreightWaves Shows Learn more about your ad choices. Visit megaphone.fm/adchoices

Costco could be making check-out way smoother; Britney is on edge! Timothee Chalamet said the same thing about opera and ballet in an unearthed clip from 2019; One Star Reviews; The five second rule game!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Join Kyle, Nader, Vibhu, and swyx live at NVIDIA GTC next week!Now that AIE Europe tix are ~sold out, our attention turns to Miami and World's Fair!The definitive AI Accelerator chip company has more than 10xed this AI Summer:And is now a $4.4 trillion megacorp… that is somehow still moving like a startup. We are blessed to have a unique relationship with our first ever NVIDIA guests: Kyle Kranen who gave a great inference keynote at the first World's Fair and is one of the leading architects of NVIDIA Dynamo (a Datacenter scale inference framework supporting SGLang, TRT-LLM, vLLM), and Nader Khalil, a friend of swyx from our days in Celo in The Arena, who has been drawing developers at GTC since before they were even a glimmer in the eye of NVIDIA:Nader discusses how NVIDIA Brev has drastically reduced the barriers to entry for developers to get a top of the line GPU up and running, and Kyle explains NVIDIA Dynamo as a data center scale inference engine that optimizes serving by scaling out, leveraging techniques like prefill/decode disaggregation, scheduling, and Kubernetes-based orchestration, framed around cost, latency, and quality tradeoffs. We also dive into Jensen's “SOL” (Speed of Light) first-principles urgency concept, long-context limits and model/hardware co-design, internal model APIs (https://build.nvidia.com), and upcoming Dynamo and agent sessions at GTC.Full Video pod on YouTubeTimestamps00:00 Agent Security Basics00:39 Podcast Welcome and Guests07:19 Acquisition and DevEx Shift13:48 SOL Culture and Dynamo Setup27:38 Why Scale Out Wins29:02 Scale Up Limits Explained30:24 From Laptop to Multi Node33:07 Cost Quality Latency Tradeoffs38:42 Disaggregation Prefill vs Decode41:05 Kubernetes Scaling with Grove43:20 Context Length and Co Design57:34 Security Meets Agents58:01 Agent Permissions Model59:10 Build Nvidia Inference Gateway01:01:52 Hackathons And Autonomy Dreams01:10:26 Local GPUs And Scaling Inference01:15:31 Long Running Agents And SF ReflectionsTranscriptAgent Security BasicsNader: Agents can do three things. They can access your files, they can access the internet, and then now they can write custom code and execute it. You literally only let an agent do two of those three things. If you can access your files and you can write custom code, you don't want internet access because that's one to see full vulnerability, right?If you have access to internet and your file system, you should know the full scope of what that agent's capable of doing. Otherwise, now we can get injected or something that can happen. And so that's a lot of what we've been thinking about is like, you know, how do we both enable this because it's clearly the future.But then also, you know, what, what are these enforcement points that we can start to like protect?swyx: All right.Podcast Welcome and Guestsswyx: Welcome to the Lean Space podcast in the Chromo studio. Welcome to all the guests here. Uh, we are back with our guest host Viu. Welcome. Good to have you back. And our friends, uh, Netter and Kyle from Nvidia. Welcome.Kyle: Yeah, thanks for having us.swyx: Yeah, thank you. Actually, I don't even know your titles.Uh, I know you're like architect something of Dynamo.Kyle: Yeah. I, I'm one of the engineering leaders [00:01:00] and a architects of Dynamo.swyx: And you're director of something and developers, developer tech.Nader: Yeah.swyx: You're the developers, developers, developers guy at nvidia,Nader: open source agent marketing, brev,swyx: and likeNader: Devrel tools and stuff.swyx: Yeah. BeenNader: the focus.swyx: And we're, we're kind of recording this ahead of Nvidia, GTC, which is coming to town, uh, again, uh, or taking over town, uh, which, uh, which we'll all be at. Um, and we'll talk a little bit about your sessions and stuff. Yeah.Nader: We're super excited for it.GTC Booth Stunt Storiesswyx: One of my favorite memories for Nader, like you always do like marketing stunts and like while you were at Rev, you like had this surfboard that you like, went down to GTC with and like, NA Nvidia apparently, like did so much that they bought you.Like what, what was that like? What was that?Nader: Yeah. Yeah, we, we, um. Our logo was a chaka. We, we, uh, we were always just kind of like trying to keep true to who we were. I think, you know, some stuff, startups, you're like trying to pretend that you're a bigger, more mature company than you are. And it was actually Evan Conrad from SF Compute who was just like, you guys are like previousswyx: guest.Yeah.Nader: Amazing. Oh, really? Amazing. Yeah. He was just like, guys, you're two dudes in the room. Why are you [00:02:00] pretending that you're not? Uh, and so then we were like, okay, let's make the logo a shaka. We brought surfboards to our booth to GTC and the energy was great. Yeah. Some palm trees too. They,Kyle: they actually poked out over like the, the walls so you could, you could see the bread booth.Oh, that's so funny. AndNader: no one else,Kyle: just from very far away.Nader: Oh, so you remember it backKyle: then? Yeah I remember it pre-acquisition. I was like, oh, those guys look cool,Nader: dude. That makes sense. ‘cause uh, we, so we signed up really last minute, and so we had the last booth. It was all the way in the corner. And so I was, I was worried that no one was gonna come.So that's why we had like the palm trees. We really came in with the surfboards. We even had one of our investors bring her dog and then she was just like walking the dog around to try to like, bring energy towards our booth. Yeah.swyx: Steph.Kyle: Yeah. Yeah, she's the best,swyx: you know, as a conference organizer, I love that.Right? Like, it's like everyone who sponsors a conference comes, does their booth. They're like, we are changing the future of ai or something, some generic b******t and like, no, like actually try to stand out, make it fun, right? And people still remember it after three years.Nader: Yeah. Yeah. You know what's so funny?I'll, I'll send, I'll give you this clip if you wanna, if you wanna add it [00:03:00] in, but, uh, my wife was at the time fiance, she was in medical school and she came to help us. ‘cause it was like a big moment for us. And so we, we bought this cricket, it's like a vinyl, like a vinyl, uh, printer. ‘cause like, how else are we gonna label the surfboard?So, we got a surfboard, luckily was able to purchase that on the company card. We got a cricket and it was just like fine tuning for enterprises or something like that, that we put on the. On the surfboard and it's 1:00 AM the day before we go to GTC. She's helping me put these like vinyl stickers on.And she goes, you son of, she's like, if you pull this off, you son of a b***h. And so, uh, right. Pretty much after the acquisition, I stitched that with the mag music acquisition. I sent it to our family group chat. Ohswyx: Yeah. No, well, she, she made a good choice there. Was that like basically the origin story for Launchable is that we, it was, and maybe we should explain what Brev is andNader: Yeah.Yeah. Uh, I mean, brev is just, it's a developer tool that makes it really easy to get a GPU. So we connect a bunch of different GPU sources. So the basics of it is like, how quickly can we SSH you into a G, into a GPU and whenever we would talk to users, they wanted A GPU. They wanted an A 100. And if you go to like any cloud [00:04:00] provisioning page, usually it's like three pages of forms or in the forms somewhere there's a dropdown.And in the dropdown there's some weird code that you know to translate to an A 100. And I remember just thinking like. Every time someone says they want an A 100, like the piece of text that they're telling me that they want is like, stuffed away in the corner. Yeah. And so we were like, what if the biggest piece of text was what the user's asking for?And so when you go to Brev, it's just big GPU chips with the type that you want withswyx: beautiful animations that you worked on pre, like pre you can, like, now you can just prompt it. But back in the day. Yeah. Yeah. Those were handcraft, handcrafted artisanal code.Nader: Yeah. I was actually really proud of that because, uh, it was an, i I made it in Figma.Yeah. And then I found, I was like really struggling to figure out how to turn it from like Figma to react. So what it actually is, is just an SVG and I, I have all the styles and so when you change the chip, whether it's like active or not it changes the SVG code and that somehow like renders like, looks like it's animating, but it, we just had the transition slow, but it's just like the, a JavaScript function to change the like underlying SVG.Yeah. And that was how I ended up like figuring out how to move it from from Figma. But yeah, that's Art Artisan. [00:05:00]Kyle: Speaking of marketing stunts though, he actually used those SVGs. Or kind of use those SVGs to make these cards.Nader: Oh yeah. LikeKyle: a GPU gift card Yes. That he handed out everywhere. That was actually my first impression of thatNader: one.Yeah,swyx: yeah, yeah.Nader: Yeah.swyx: I think I still have one of them.Nader: They look great.Kyle: Yeah.Nader: I have a ton of them still actually in our garage, which just, they don't have labels. We should honestly like bring, bring them back. But, um, I found this old printing press here, actually just around the corner on Ven ness. And it's a third generation San Francisco shop.And so I come in an excited startup founder trying to like, and they just have this crazy old machinery and I'm in awe. ‘cause the the whole building is so physical. Like you're seeing these machines, they have like pedals to like move these saws and whatever. I don't know what this machinery is, but I saw all three generations.Like there's like the grandpa, the father and the son, and the son was like, around my age. Well,swyx: it's like a holy, holy trinity.Nader: It's funny because we, so I just took the same SVG and we just like printed it and it's foil printing, so they make a a, a mold. That's like an inverse of like the A 100 and then they put the foil on it [00:06:00] and then they press it into the paper.And I remember once we got them, he was like, Hey, don't forget about us. You know, I guess like early Apple and Cisco's first business cards were all made there. And so he was like, yeah, we, we get like the startup businesses but then as they mature, they kind of go somewhere else. And so I actually, I think we were talking with marketing about like using them for some, we should go back and make some cards.swyx: Yeah, yeah, yeah. You know, I remember, you know, as a very, very small breadth investor, I was like, why are we spending time like, doing these like stunts for GPUs? Like, you know, I think like as a, you know, typical like cloud hard hardware person, you go into an AWS you pick like T five X xl, whatever, and it's just like from a list and you look at the specs like, why animate this GP?And, and I, I do think like it just shows the level of care that goes throughout birth and Yeah. And now, and also the, and,Nader: and Nvidia. I think that's what the, the thing that struck me most when we first came in was like the amount of passion that everyone has. Like, I think, um, you know, you talk to, you talk to Kyle, you talk to, like, every VP that I've met at Nvidia goes so close to the metal.Like, I remember it was almost a year ago, and like my VP asked me, he's like, Hey, [00:07:00] what's cursor? And like, are you using it? And if so, why? Surprised at this, and he downloaded Cursor and he was asking me to help him like, use it. And I thought that was, uh, or like, just show him what he, you know, why we were using it.And so, the amount of care that I think everyone has and the passion, appreciate, passion and appreciation for the moment. Right. This is a very unique time. So it's really cool to see everyone really like, uh, appreciate that.swyx: Yeah.Acquisition and DevEx Shiftswyx: One thing I wanted to do before we move over to sort of like research topics and, uh, the, the stuff that Kyle's working on is just tell the story of the acquisition, right?Like, not many people have been, been through an acquisition with Nvidia. What's it like? Uh, what, yeah, just anything you'd like to say.Nader: It's a crazy experience. I think, uh, you know, we were the thing that was the most exciting for us was. Our goal was just to make it easier for developers.We wanted to find access to GPUs, make it easier to do that. And then all, oh, actually your question about launchable. So launchable was just make one click exper, like one click deploys for any software on top of the GPU. Mm-hmm. And so what we really liked about Nvidia was that it felt like we just got a lot more resources to do all of that.I think, uh, you [00:08:00] know, NVIDIA's goal is to make things as easy for developers as possible. So there was a really nice like synergy there. I think that, you know, when it comes to like an acquisition, I think the amount that the soul of the products align, I think is gonna be. Is going speak to the success of the acquisition.Yeah. And so it in many ways feels like we're home. This is a really great outcome for us. Like we you know, I love brev.nvidia.com. Like you should, you should use it's, it's theKyle: front page for GPUs.Nader: Yeah. Yeah. If you want GP views,Kyle: you go there, getswyx: it there, and it's like internally is growing very quickly.I, I don't remember You said some stats there.Nader: Yeah, yeah, yeah. It's, uh, I, I wish I had the exact numbers, but like internally, externally, it's been growing really quickly. We've been working with a bunch of partners with a bunch of different customers and ISVs, if you have a solution that you want someone that runs on the GPU and you want people to use it quickly, we can bundle it up, uh, in a launchable and make it a one click run.If you're doing things and you want just like a sandbox or something to run on, right. Like open claw. Huge moment. Super exciting. Our, uh, and we'll talk into it more, but. You know, internally, people wanna run this, and you, we know we have to be really careful from the security implications. Do we let this run on the corporate network?Security's guidance was, Hey, [00:09:00] run this on breath, it's in, you know, it's, it's, it's a vm, it's sitting in the cloud, it's off the corporate network. It's isolated. And so that's been our stance internally and externally about how to even run something like open call while we figure out how to run these things securely.But yeah,swyx: I think there's also like, you almost like we're the right team at the right time when Nvidia is starting to invest a lot more in developer experience or whatever you call it. Yeah. Uh, UX or I don't know what you call it, like software. Like obviously NVIDIA is always invested in software, but like, there's like, this is like a different audience.Yeah. It's aNader: widerKyle: developer base.swyx: Yeah. Right.Nader: Yeah. Yeah. You know, it's funny, it's like, it's not, uh,swyx: so like, what, what is it called internally? What, what is this that people should be aware that is going on there?Nader: Uh, what, like developer experienceswyx: or, yeah, yeah. Is it's called just developer experience or is there like a broader strategy hereNader: in Nvidia?Um, Nvidia always wants to make a good developer experience. The thing is and a lot of the technology is just really complicated. Like, it's not, it's uh, you know, I think, um. The thing that's been really growing or the AI's growing is having a huge moment, not [00:10:00] because like, let's say data scientists in 2018, were quiet then and are much louder now.The pie is com, right? There's a whole bunch of new audiences. My mom's wondering what she's doing. My sister's learned, like taught herself how to code. Like the, um, you know, I, I actually think just generally AI's a big equalizer and you're seeing a more like technologically literate society, I guess.Like everyone's, everyone's learning how to code. Uh, there isn't really an excuse for that. And so building a good UX means that you really understand who your end user is. And when your end user becomes such a wide, uh, variety of people, then you have to almost like reinvent the practice, right? Yeah. You haveKyle: to, and actually build more developer ux, right?Because the, there are tiers of developer base that were added. You know, the, the hackers that are building on top of open claw, right? For example, have never used gpu. They don't know what kuda is. They, they, they just want to run something.Nader: Yeah.Kyle: You need new UX that is not just. Hey, you know, how do you program something in Cuda and run it?And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like [00:11:00] layers that are added to that developer stack has just exploded because AI has become ubiquitous. Everyone's using it in different ways. Yeah. It'sNader: moving fast in every direction.Vertical, horizontal.Vibhu: Yeah. You guys, you even take it down to hardware, like the DGX Spark, you know, it's, it's basically the same system as just throwing it up on big GPU cluster.Nader: Yeah, yeah, yeah. It's amazing. Blackwell.swyx: Yeah. Uh, we saw the preview at the last year's GTC and that was one of the better performing, uh, videos so far, and video coverage so far.Awesome. This will beat it. Um,Nader: that wasswyx: actually, we have fingersNader: crossed. Yeah.DGX Spark and Remote AccessNader: Even when Grace Blackwell or when, um, uh, DGX Spark was first coming out getting to be involved in that from the beginning of the developer experience. And it just comes back to what youswyx: were involved.Nader: Yeah. St. St.swyx: Mars.Nader: Yeah. Yeah. I mean from, it was just like, I, I got an email, we just got thrown into the loop and suddenly yeah, I, it was actually really funny ‘cause I'm still pretty fresh from the acquisition and I'm, I'm getting an email from a bunch of the engineering VPs about like, the new hardware, GPU chip, like we're, or not chip, but just GPU system that we're putting out.And I'm like, okay, cool. Matters. Now involved with this for the ux, I'm like. What am I gonna do [00:12:00] here? So, I remember the first meeting, I was just like kind of quiet as I was hearing engineering VPs talk about what this box could be, what it could do, how we should use it. And I remember, uh, one of the first ideas that people were idea was like, oh, the first thing that it was like, I think a quote was like, the first thing someone's gonna wanna do with this is get two of them and run a Kubernetes cluster on top of them.And I was like, oh, I think I know why I'm here. I was like, the first thing we're doing is easy. SSH into the machine. And then, and you know, just kind of like scoping it down of like, once you can do that every, you, like the person who wants to run a Kubernetes cluster onto Sparks has a higher propensity for pain, then, then you know someone who buys it and wants to run open Claw right now, right?If you can make sure that that's as effortless as possible, then the rest becomes easy. So there's a tool called Nvidia Sync. It just makes the SSH connection really simple. So, you know, if you think about it like. If you have a Mac, uh, or a PC or whatever, if you have a laptop and you buy this GPU and you want to use it, you should be able to use it like it's A-A-G-P-U in the cloud, right?Um, but there's all this friction of like, how do you actually get into that? That's part of [00:13:00] Revs value proposition is just, you know, there's a CLI that wraps SSH and makes it simple. And so our goal is just get you into that machine really easily. And one thing we just launched at CES, it's in, it's still in like early access.We're ironing out some kinks, but it should be ready by GTC. You can register your spark on Brev. And so now if youswyx: like remote managed yeah, local hardware. Single pane of glass. Yeah. Yeah. Because Brev can already manage other clouds anyway, right?Vibhu: Yeah, yeah. And you use the spark on Brev as well, right?Nader: Yeah. But yeah, exactly. So, so you, you, so you, you set it up at home you can run the command on it, and then it gets it's essentially it'll appear in your Brev account, and then you can take your laptop to a Starbucks or to a cafe, and you'll continue to use your, you can continue use your spark just like any other cloud node on Brev.Yeah. Yeah. And it's just like a pre-provisioned centerswyx: in yourNader: home. Yeah, exactly.swyx: Yeah. Yeah.Vibhu: Tiny little data center.Nader: Tiny little, the size ofVibhu: your phone.SOL Culture and Dynamo Setupswyx: One more thing before we move on to Kyle. Just have so many Jensen stories and I just love, love mining Jensen stories. Uh, my favorite so far is SOL. Uh, what is, yeah, what is S-O-L-S-O-LNader: is actually, i, I think [00:14:00] of all the lessons I've learned, that one's definitely my favorite.Kyle: It'll always stick with you.Nader: Yeah. Yeah. I, you know, in your startup, everything's existential, right? Like we've, we've run out of money. We were like, on the risk of, of losing payroll, we've had to contract our team because we l ran outta money. And so like, um, because of that you're really always forcing yourself to I to like understand the root cause of everything.If you get a date, if you get a timeline, you know exactly why that date or timeline is there. You're, you're pushing every boundary and like, you're not just say, you're not just accepting like a, a no. Just because. And so as you start to introduce more layers, as you start to become a much larger organization, SOL is is essentially like what is the physics, right?The speed of light moves at a certain speed. So if flight's moving some slower, then you know something's in the way. So before trying to like layer reality back in of like, why can't this be delivered at some date? Let's just understand the physics. What is the theoretical limit to like, uh, how fast this can go?And then start to tell me why. ‘cause otherwise people will start telling you why something can't be done. But actually I think any great leader's goal is just to create urgency. Yeah. [00:15:00] There's an infiniteKyle: create compelling events, right?Nader: Yeah.Kyle: Yeah. So l is a term video is used to instigate a compelling event.You say this is done. How do we get there? What is the minimum? As much as necessary, as little as possible thing that it takes for us to get exactly here and. It helps you just break through a bunch of noise.swyx: Yeah.Kyle: Instantly.swyx: One thing I'm unclear about is, can only Jensen use the SOL card? Like, oh, no, no, no.Not everyone get the b******t out because obviously it's Jensen, but like, can someone else be like, no, likeKyle: frontline engineers use it.Nader: Yeah. Every, I think it's not so much about like, get the b******t out. It's like, it's like, give me the root understanding, right? Like, if you tell me something takes three weeks, it like, well, what's the first principles?Yeah, the first principles. It's like, what's the, what? Like why is it three weeks? What is the actual yeah. What's the actual limit of why this is gonna take three weeks? If you're gonna, if you, if let's say you wanted to buy a new computer and someone told you it's gonna be here in five days, what's the SOL?Well, like the SOL is like, I could walk into a Best Buy and pick it up for you. Right? So then anything that's like beyond that is, and is that practical? Is that how we're gonna, you know, let's say give everyone in the [00:16:00] company a laptop, like obviously not. So then like that's the SOL and then it's like, okay, well if we have to get more than 10, suddenly there might be some, right?And so now we can kind of piece the reality back.swyx: So, so this is the. Paul Graham do things that don't scale. Yeah. And this is also the, what people would now call behi agency. Yeah.Kyle: It's actually really interesting because there's a, there's a second hardware angle to SOL that like doesn't come up for all the org sol is used like culturally at aswyx: media for everything.I'm also mining for like, I think that can be annoying sometimes. And like someone keeps going IOO you and you're like, guys, like we have to be stable. We have to, we to f*****g plan. Yeah.Kyle: It's an interesting balance.Nader: Yeah. I encounter that with like, actually just with, with Alec, right? ‘cause we, we have a new conference so we need to launch, we have, we have goals of what we wanna launch by, uh, by the conference and like, yeah.At the end of the day, where isswyx: this GTC?Nader: Um, well this is like, so we, I mean we did it for CES, we did for GT CDC before that we're doing it for GTC San Jose. So I mean, like every, you know, we have a new moment. Um, and we want to launch something. Yeah. And we want to do so at SOL and that does mean that some, there's some level of prioritization that needs [00:17:00] to happen.And so it, it is difficult, right? I think, um, you have to be careful with what you're pushing. You know, stability is important and that should be factored into S-O-L-S-O-L isn't just like, build everything and let it break, you know, that, that's part of the conversation. So as you're laying, layering in all the details, one of them might be, Hey, we could build this, but then it's not gonna be stable for X, y, z reasons.And so that was like, one of our conversations for CES was, you know, hey, like we, we can get this into early access registering your spark with brev. But there are a lot of things that we need to do in order to feel really comfortable from a security perspective, right? There's a lot of networking involved before we deliver that to users.So it's like, okay. Let's get this to a point where we can at least let people experiment with it. We had it in a booth, we had it in Jensen's keynote, and then let's go iron out all the networking kinks. And that's not easy. And so, uh, that can come later. And so that was the way that we layered that back in.Yeah. ButKyle: It's not really about saying like, you don't have to do the, the maintenance or operational work. It's more about saying, you know, it's kind of like [00:18:00] highlights how progress is incremental, right? Like, what is the minimum thing that we can get to. And then there's SOL for like every component after that.But there's the SOL to get you, get you to the, the starting line. And that, that's usually how it's asked. Yeah. On the other side, you know, like SOL came out of like hardware at Nvidia. Right. So SOL is like literally if we ran the accelerator or the GPU with like at basically full speed with like no other constraints, like how FAST would be able to make a program go.swyx: Yeah. Yeah. Right.Kyle: Soswyx: in, in training that like, you know, then you work back to like some percentage of like MFU for example.Kyle: Yeah, that's a, that's a great example. So like, there's an, there's an S-O-L-M-F-U, and then there's like, you know, what's practically achievable.swyx: Cool. Should we move on to sort of, uh, Kyle's side?Uh, Kyle, you're coming more from the data science world. And, uh, I, I mean I always, whenever, whenever I meet someone who's done working in tabular stuff, graph neural networks, time series, these are basically when I go to new reps, I go to ICML, I walk the back halls. There's always like a small group of graph people.Yes. Absolute small group of tabular people. [00:19:00] And like, there's no one there. And like, it's very like, you know what I mean? Like, yeah, no, like it's, it's important interesting work if you care about solving the problems that they solve.Kyle: Yeah.swyx: But everyone else is just LMS all the time.Kyle: Yeah. I mean it's like, it's like the black hole, right?Has the event horizon reached this yet in nerves? Um,swyx: but like, you know, those are, those are transformers too. Yeah. And, and those are also like interesting things. Anyway, uh, I just wanted to spend a little bit of time on, on those, that background before we go into Dynamo, uh, proper.Kyle: Yeah, sure. I took a different path to Nvidia than that, or I joined six years ago, seven, if you count, when I was an intern.So I joined Nvidia, like right outta college. And the first thing I jumped into was not what I'd done in, during internship, which was like, you know, like some stuff for autonomous vehicles, like heavyweight object detection. I jumped into like, you know, something, I'm like, recommenders, this is popular. Andswyx: yeah, he did RexiKyle: as well.Yeah, Rexi. Yeah. I mean that, that was the taboo data at the time, right? You have tables of like, audience qualities and item qualities, and you're trying to figure out like which member of [00:20:00] the audience matches which item or, or more practically which item matches which member of the audience. And at the time, really it was like we were trying to enable.Uh, recommender, which had historically been like a little bit of a CP based workflow into something that like, ran really well in GPUs. And it's since been done. Like there are a bunch of libraries for Axis that run on GPUs. Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.But it was very interesting at the time and super, super relevant because like we were starting to get like. This explosion of feeds and things that required rec recommenders to just actively be on all the time. And sort of transitioned that a little bit towards graph neural networks when I discovered them because I was like, okay, you can actually use graphical neural networks to represent like, relationships between people, items, concepts, and that, that interested me.So I jumped into that at [00:21:00] Nvidia and, and got really involved for like two-ish years.swyx: Yeah. Uh, and something I learned from Brian Zaro Yeah. Is that you can just kind of choose your own path in Nvidia.Kyle: Oh my God. Yeah.swyx: Which is not a normal big Corp thing. Yeah. Like you, you have a lane, you stay in your lane.Nader: I think probably the reason why I enjoy being in a, a big company, the mission is the boss probably from a startup guy. Yeah. The missionswyx: is the boss.Nader: Yeah. Uh, it feels like a big game of pickup basketball. Like, you know, if you play one, if you wanna play basketball, you just go up to the court and you're like, Hey look, we're gonna play this game and we need three.Yeah. And you just like find your three. That's honestly for every new initiative that's what it feels like. Yeah.Vibhu: It also like shows, right? Like Nvidia. Just releasing state-of-the-art stuff in every domain. Yeah. Like, okay, you expect foundation models with Nemo tron voice just randomly parakeet.Call parakeet just comes out another one, uh, voice. TheKyle: video voice team has always been producing.Vibhu: Yeah. There's always just every other domain of paper that comes out, dataset that comes out. It's like, I mean, it also stems back to what Nvidia has to do, right? You have to make chips years before they're actually produced.Right? So you need to know, you need to really [00:22:00] focus. TheKyle: design process starts likeVibhu: exactlyKyle: three to five years before the chip gets to the market.Vibhu: Yeah. I, I'm curious more about what that's like, right? So like, you have specialist teams. Is it just like, you know, people find an interest, you go in, you go deep on whatever, and that kind of feeds back into, you know, okay, we, we expect predictions.Like the internals at Nvidia must be crazy. Right? You know? Yeah. Yeah. You know, you, you must. Not even without selling to people, you have your own predictions of where things are going. Yeah. And they're very based, very grounded. Right?Kyle: Yeah. It, it, it's really interesting. So there's like two things that I think that Amed does, which are quite interesting.Uh, one is like, we really index into passion. There's a big. Sort of organizational top sound push to like ensure that people are working on the things that they're passionate about. So if someone proposes something that's interesting, many times they can just email someone like way up the chain that they would find this relevant and say like, Hey, can I go work on this?Nader: It's actually like I worked at a, a big company for a couple years before, uh, starting on my startup journey and like, it felt very weird if you were to like email out of chain, if that makes [00:23:00] sense. Yeah. The emails at Nvidia are like mosh pitsswyx: shoot,Nader: and it's just like 60 people, just whatever. And like they're, there's this,swyx: they got messy like, reply all you,Nader: oh, it's in, it's insane.It's insane. They justKyle: help. You know, Maxim,Nader: the context. But, but that's actually like, I've actually, so this is a weird thing where I used to be like, why would we send emails? We have Slack. I am the entire, I'm the exact opposite. I feel so bad for anyone who's like messaging me on Slack ‘cause I'm so unresponsive.swyx: Your emailNader: Maxi, email Maxim. I'm email maxing Now email is a different, email is perfect because man, we can't work together. I'm email is great, right? Because important threads get bumped back up, right? Yeah, yeah. Um, and so Slack doesn't do that. So I just have like this casino going off on the right or on the left and like, I don't know which thread was from where or what, but like the threads get And then also just like the subject, so you can have like working threads.I think what's difficult is like when you're small, if you're just not 40,000 people I think Slack will work fine, but there's, I don't know what the inflection point is. There is gonna be a point where that becomes really messy and you'll actually prefer having email. ‘cause you can have working threads.You can cc more than nine people in a thread.Kyle: You can fork stuff.Nader: You can [00:24:00] fork stuff, which is super nice and just like y Yeah. And so, but that is part of where you can propose a plan. You can also just. Start, honestly, momentum's the only authority, right? So like, if you can just start, start to make a little bit of progress and show someone something, and then they can try it.That's, I think what's been, you know, I think the most effective way to push anything for forward. And that's both at Nvidia and I think just generally.Kyle: Yeah, there's, there's the other concept that like is explored a lot at Nvidia, which is this idea of a zero billion dollar business. Like market creation is a big thing at Nvidia.Like,swyx: oh, you want to go and start a zero billion dollar business?Kyle: Jensen says, we are completely happy investing in zero billion dollar markets. We don't care if this creates revenue. It's important for us to know about this market. We think it will be important in the future. It can be zero billion dollars for a while.I'm probably minging as words here for, but like, you know, like, I'll give an example. NVIDIA's been working on autonomous driving for a a long time,swyx: like an Nvidia car.Kyle: No, they, they'veVibhu: used the Mercedes, right? They're around the HQ and I think it finally just got licensed out. Now they're starting to be used quite a [00:25:00] bit.For 10 years you've been seeing Mercedes with Nvidia logos driving.Kyle: If you're in like the South San Santa Clara, it's, it's actually from South. Yeah. So, um. Zero billion dollar markets are, are a thing like, you know, Jensen,swyx: I mean, okay, look, cars are not a zero billion dollar market. But yeah, that's a bad example.Nader: I think, I think he's, he's messaging, uh, zero today, but, or even like internally, right? Like, like it's like, uh, an org doesn't have to ruthlessly find revenue very quickly to justify their existence. Right. Like a lot of the important research, a lot of the important technology being developed that, that's kind ofKyle: where research, research is very ide ideologically free at Nvidia.Yeah. Like they can pursue things that they wereswyx: Were you research officially?Kyle: I was never in research. Officially. I was always in engineering. Yeah. We in, I'm in an org called Deep Warning Algorithms, which is basically just how do we make things that are relevant to deep warning go fast.swyx: That sounds freaking cool.Vibhu: And I think a lot of that is underappreciated, right? Like time series. This week Google put out time. FF paper. Yeah. A new time series, paper res. Uh, Symantec, ID [00:26:00] started applying Transformers LMS to Yes. Rec system. Yes. And when you think the scale of companies deploying these right. Amazon recommendations, Google web search, it's like, it's huge scale andKyle: Yeah.Vibhu: You want fast?Kyle: Yeah. Yeah. Yeah. Actually it's, it, I, there's a fun moment that brought me like full circle. Like, uh, Amazon Ads recently gave a talk where they talked about using Dynamo for generative recommendation, which was like super, like weirdly cathartic for me. I'm like, oh my God. I've, I've supplanted what I was working on.Like, I, you're using LMS now to do what I was doing five years ago.swyx: Yeah. Amazing. And let's go right into Dynamo. Uh, maybe introduce Yeah, sure. To the top down and Yeah.Kyle: I think at this point a lot of people are familiar with the term of inference. Like funnily enough, like I went from, you know, inference being like a really niche topic to being something that's like discussed on like normal people's Twitter feeds.It's,Nader: it's on billboardsKyle: here now. Yeah. Very, very strange. Driving, driving, seeing just an inference ad on 1 0 1 inference at scale is becoming a lot more important. Uh, we have these moments like, you know, open claw where you have these [00:27:00] agents that take lots and lots of tokens, but produce, incredible results.There are many different aspects of test time scaling so that, you know, you can use more inference to generate a better result than if you were to use like a short amount of inference. There's reasoning, there's quiring, there's, adding agency to the model, allowing it to call tools and use skills.Dyno sort came about at Nvidia. Because myself and a couple others were, were sort of talking about the, these concepts that like, you know, you have inference engines like VLMS, shelan, tenor, TLM and they have like one single copy. They, they, they sort of think about like things as like one single copy, like one replica, right?Why Scale Out WinsKyle: Like one version of the model. But when you're actually serving things at scale, you can't just scale up that replica because you end up with like performance problems. There's a scaling limit to scaling up replicas. So you actually have to scale out to use a, maybe some Kubernetes type terminology.We kind of realized that there was like. A lot of potential optimization that we could do in scaling out and building systems for data [00:28:00] center scale inference. So Dynamo is this data center scale inference engine that sits on top of the frameworks like VLM Shilling and 10 T lm and just makes things go faster because you can leverage the economy of scale.The fact that you have KV cash, which we can define a little bit later, uh, in all these machines that is like unique and you wanna figure out like the ways to maximize your cash hits or you want to employ new techniques in inference like disaggregation, which Dynamo had introduced to the world in, in, in March, not introduced, it was a academic talk, but beforehand.But we are, you know, one of the first frameworks to start, supporting it. And we wanna like, sort of combine all these techniques into sort of a modular framework that allows you to. Accelerate your inference at scale.Nader: By the way, Kyle and I became friends on my first date, Nvidia, and I always loved, ‘cause like he always teaches meswyx: new things.Yeah. By the way, this is why I wanted to put two of you together. I was like, yeah, this is, this is gonna beKyle: good. It's very, it's very different, you know, like we've, we, we've, we've talked to each other a bunch [00:29:00] actually, you asked like, why, why can't we scale up?Nader: Yeah.Scale Up Limits ExplainedNader: model, you said model replicas.Kyle: Yeah. So you, so scale up means assigning moreswyx: heavier?Kyle: Yeah, heavier. Like making things heavier. Yeah, adding more GPUs. Adding more CPUs. Scale out is just like having a barrier saying, I'm gonna duplicate my representation of the model or a representation of this microservice or something, and I'm gonna like, replicate it Many times.Handle, load. And the reason that you can't scale, scale up, uh, past some points is like, you know, there, there, there are sort of hardware bounds and algorithmic bounds on, on that type of scaling. So I'll give you a good example that's like very trivial. Let's say you're on an H 100. The Maxim ENV link domain for H 100, for most Ds H one hundreds is heus, right?So if you scaled up past that, you're gonna have to figure out ways to handle the fact that now for the GPUs to communicate, you have to do it over Infin band, which is still very fast, but is not as fast as ENV link.swyx: Is it like one order of magnitude, like hundreds or,Kyle: it's about an order of magnitude?Yeah. Okay. Um, soswyx: not terrible.Kyle: [00:30:00] Yeah. I, I need to, I need to remember the, the data sheet here, like, I think it's like about 500 gigabytes. Uh, a second unidirectional for ENV link, and about 50 gigabytes a second unidirectional for Infin Band. I, it, it depends on the, the generation.swyx: I just wanna set this up for people who are not familiar with these kinds of like layers and the trash speedVibhu: and all that.Of course.From Laptop to Multi NodeVibhu: Also, maybe even just going like a few steps back before that, like most people are very familiar with. You see a, you know, you can use on your laptop, whatever these steel viol, lm you can just run inference there. All, there's all, you can, youcan run it on thatVibhu: laptop. You can run on laptop.Then you get to, okay, uh, models got pretty big, right? JLM five, they doubled the size, so mm-hmm. Uh, what do you do when you have to go from, okay, I can get 128 gigs of memory. I can run it on a spark. Then you have to go multi GPU. Yeah. Okay. Multi GPU, there's some support there. Now, if I'm a company and I don't have like.I'm not hiring the best researchers for this. Right. But I need to go [00:31:00] multi-node, right? I have a lot of servers. Okay, now there's efficiency problems, right? You can have multiple eight H 100 nodes, but, you know, is that as a, like, how do you do that efficiently?Kyle: Yeah. How do you like represent them? How do you choose how to represent the model?Yeah, exactly right. That's a, that's like a hard question. Everyone asks, how do you size oh, I wanna run GLM five, which just came out new model. There have been like four of them in the past week, by the way, like a bunch of new models.swyx: You know why? Right? Deep seek.Kyle: No comment. Oh. Yeah, but Ggl, LM five, right?We, we have this, new model. It's, it's like a large size, and you have to figure out how to both scale up and scale out, right? Because you have to find the right representation that you care about. Everyone does this differently. Let's be very clear. Everyone figures this out in their own path.Nader: I feel like a lot of AI or ML even is like, is like this. I think people think, you know, I, I was, there was some tweet a few months ago that was like, why hasn't fine tuning as a service taken off? You know, that might be me. It might have been you. Yeah. But people want it to be such an easy recipe to follow.But even like if you look at an ML model and specificKyle: to you Yeah,Nader: yeah.Kyle: And the [00:32:00] model,Nader: the situation, and there's just so much tinkering, right? Like when you see a model that has however many experts in the ME model, it's like, why that many experts? I don't, they, you know, they tried a bunch of things and that one seemed to do better.I think when it comes to how you're serving inference, you know, you have a bunch of decisions to make and there you can always argue that you can take something and make it more optimal. But I think it's this internal calibration and appetite for continued calibration.Vibhu: Yeah. And that doesn't mean like, you know, people aren't taking a shot at this, like tinker from thinking machines, you know?Yeah. RL as a service. Yeah, totally. It's, it also gets even harder when you try to do big model training, right? We're not the best at training Moes, uh, when they're pre-trained. Like we saw this with LAMA three, right? They're trained in such a sparse way that meta knows there's gonna be a bunch of inference done on these, right?They'll open source it, but it's very trained for what meta infrastructure wants, right? They wanna, they wanna inference it a lot. Now the question to basically think about is, okay, say you wanna serve a chat application, a coding copilot, right? You're doing a layer of rl, you're serving a model for X amount of people.Is it a chat model, a coding model? Dynamo, you know, back to that,Kyle: it's [00:33:00] like, yeah, sorry. So you we, we sort of like jumped off of, you know, jumped, uh, on that topic. Everyone has like, their own, own journey.Cost Quality Latency TradeoffsKyle: And I, I like to think of it as defined by like, what is the model you need? What is the accuracy you need?Actually I talked to NA about this earlier. There's three axes you care about. What is the quality that you're able to produce? So like, are you accurate enough or can you complete the task with enough, performance, high enough performance. Yeah, yeah. Uh, there's cost. Can you serve the model or serve your workflow?Because it's not just the model anymore, it's the workflow. It's the multi turn with an agent cheaply enough. And then can you serve it fast enough? And we're seeing all three of these, like, play out, like we saw, we saw new models from OpenAI that you know, are faster. You have like these new fast versions of models.You can change the amount of thinking to change the amount of quality, right? Produce more tokens, but at a higher cost in a, in a higher latency. And really like when you start this journey of like trying to figure out how you wanna host a model, you, you, you think about three things. What is the model I need to serve?How many times do I need to call it? What is the input sequence link was [00:34:00] the, what does the workflow look like on top of it? What is the SLA, what is the latency SLA that I need to achieve? Because there's usually some, this is usually like a constant, you, you know, the SLA that you need to hit and then like you try and find the lowest cost version that hits all of these constraints.Usually, you know, you, you start with those things and you say you, you kind of do like a bit of experimentation across some common configurations. You change the tensor parallel size, which is a form of parallelismVibhu: I take, it goes even deeper first. Gotta think what model.Kyle: Yes, course,ofKyle: course. It's like, it's like a multi-step design process because as you said, you can, you can choose a smaller model and then do more test time scaling and it'll equate the quality of a larger model because you're doing the test time scaling or you're adding a harness or something.So yes, it, it goes way deeper than that. But from the performance perspective, like once you get to the model you need, you need to host, you look at that and you say, Hey. I have this model, I need to serve it at the speed. What is the right configuration for that?Nader: You guys see the recent, uh, there was a paper I just saw like a few days ago that, uh, if you run [00:35:00] the same prompt twice, you're getting like double Just try itagain.Nader: Yeah, exactly.Vibhu: And you get a lot. Yeah. But the, the key thing there is you give the context of the failed try, right? Yeah. So it takes a shot. And this has been like, you know, basic guidance for quite a while. Just try again. ‘cause you know, trying, just try again. Did you try again? All adviceNader: in life.Vibhu: Just, it's a paper from Google, if I'm not mistaken, right?Yeah,Vibhu: yeah. I think it, it's like a seven bas little short paper. Yeah. Yeah. The title's very cute. And it's just like, yeah, just try again. Give it ask context,Kyle: multi-shot. You just like, say like, hey, like, you know, like take, take a little bit more, take a little bit more information, try and fail. Fail.Vibhu: And that basic concept has gone pretty deep.There's like, um, self distillation, rl where you, you do self distillation, you do rl and you have past failure and you know, that gives some signal so people take, try it again. Not strong enough.swyx: Uh, for, for listeners, uh, who listen to here, uh, vivo actually, and I, and we run a second YouTube channel for our paper club where, oh, that's awesome.Vivo just covered this. Yeah. Awesome. Self desolation and all that's, that's why he, to speed [00:36:00] on it.Nader: I'll to check it out.swyx: Yeah. It, it's just a good practice, like everyone needs, like a paper club where like you just read papers together and the social pressure just kind of forces you to just,Nader: we, we,there'sNader: like a big inference.Kyle: ReadingNader: group at a video. I feel so bad every time. I I, he put it on like, on our, he shared it.swyx: One, one ofNader: your guys,swyx: uh, is, is big in that, I forget es han Yeah, yeah,Kyle: es Han's on my team. Actually. Funny. There's a, there's a, there's a employee transfer between us. Han worked for Nater at Brev, and now he, he's on my team.He wasNader: our head of ai. And then, yeah, once we got in, andswyx: because I'm always looking for like, okay, can, can I start at another podcast that only does that thing? Yeah. And, uh, Esan was like, I was trying to like nudge Esan into like, is there something here? I mean, I don't think there's, there's new infant techniques every day.So it's like, it's likeKyle: you would, you would actually be surprised, um, the amount of blog posts you see. And ifswyx: there's a period where it was like, Medusa hydra, what Eagle, like, youKyle: know, now we have new forms of decode, uh, we have new forms of specula, of decoding or new,swyx: what,Kyle: what are youVibhu: excited? And it's exciting when you guys put out something like Tron.‘cause I remember the paper on this Tron three, [00:37:00] uh, the amount of like post train, the on tokens that the GPU rich can just train on. And it, it was a hybrid state space model, right? Yeah.Kyle: It's co-designed for the hardware.Vibhu: Yeah, go design for the hardware. And one of the things was always, you know, the state space models don't scale as well when you do a conversion or whatever the performance.And you guys are like, no, just keep draining. And Nitron shows a lot of that. Yeah.Nader: Also, something cool about Nitron it was released in layers, if you will, very similar to Dynamo. It's, it's, it's essentially it was released as you can, the pre-training, post-training data sets are released. Yeah. The recipes on how to do it are released.The model itself is released. It's full model. You just benefit from us turning on the GPUs. But there are companies like, uh, ServiceNow took the dataset and they trained their own model and we were super excited and like, you know, celebrated that work.ZoomVibhu: different. Zoom is, zoom is CGI, I think, uh, you know, also just to add like a lot of models don't put out based models and if there's that, why is fine tuning not taken off?You know, you can do your own training. Yeah,Kyle: sure.Vibhu: You guys put out based model, I think you put out everything.Nader: I believe I know [00:38:00]swyx: about base. BasicallyVibhu: without baseswyx: basic can be cancelable.Vibhu: Yeah. Base can be cancelable.swyx: Yeah.Vibhu: Safety training.swyx: Did we get a full picture of dymo? I, I don't know if we, what,Nader: what I'd love is you, you mentioned the three axes like break it down of like, you know, what's prefilled decode and like what are the optimizations that we can get with Dynamo?Kyle: Yeah. That, that's, that's, that's a great point. So to summarize on that three axis problem, right, there are three things that determine whether or not something can be done with inference, cost, quality, latency, right? Dynamo is supposed to be there to provide you like the runtime that allows you to pull levers to, you know, mix it up and move around the parade of frontier or the preto surface that determines is this actually possible with inference And AI todayNader: gives you the knobs.Kyle: Yeah, exactly. It gives you the knobs.Disaggregation Prefill vs DecodeKyle: Uh, and one thing that like we, we use a lot in contemporary inference and is, you know, starting to like pick up from, you know, in, in general knowledge is this co concept of disaggregation. So historically. Models would be hosted with a single inference engine. And that inference engine [00:39:00] would ping pong between two phases.There's prefill where you're reading the sequence generating KV cache, which is basically just a set of vectors that represent the sequence. And then using that KV cache to generate new tokens, which is called Decode. And some brilliant researchers across multiple different papers essentially made the realization that if you separate these two phases, you actually gain some benefits.Those benefits are basically a you don't have to worry about step synchronous scheduling. So the way that an inference engine works is you do one step and then you finish it, and then you schedule, you start scheduling the next step there. It's not like fully asynchronous. And the problem with that is you would have, uh, essentially pre-fill and decode are, are actually very different in terms of both their resource requirements and their sometimes their runtime.So you would have like prefill that would like block decode steps because you, you'd still be pre-filing and you couldn't schedule because you know the step has to end. So you remove that scheduling issue and then you also allow you, or you yourself, to like [00:40:00] split the work into two different ki types of pools.So pre-fill typically, and, and this changes as, as model architecture changes. Pre-fill is, right now, compute bound most of the time with the sequence is sufficiently long. It's compute bound. On the decode side because you're doing a full Passover, all the weights and the entire sequence, every time you do a decode step and you're, you don't have the quadratic computation of KV cache, it's usually memory bound because you're retrieving a linear amount of memory and you're doing a linear amount of compute as opposed to prefill where you retrieve a linear amount of memory and then use a quadratic.You know,Nader: it's funny, someone exo Labs did a really cool demo where for the DGX Spark, which has a lot more compute, you can do the pre the compute hungry prefill on a DG X spark and then do the decode on a, on a Mac. Yeah. And soVibhu: that's faster.Nader: Yeah. Yeah.Kyle: So you could, you can do that. You can do machine strat stratification.Nader: Yeah.Kyle: And like with our future generation generations of hardware, we actually announced, like with Reuben, this [00:41:00] new accelerator that is prefilled specific. It's called Reuben, CPX. SoKubernetes Scaling with GroveNader: I have a question when you do the scale out. Yeah. Is scaling out easier with Dynamo? Because when you need a new node, you can dedicate it to either the Prefill or, uh, decode.Kyle: Yeah. So Dynamo actually has like a, a Kubernetes component in it called Grove that allows you to, to do this like crazy scaling specialization. It has like this hot, it's a representation that, I don't wanna go too deep into Kubernetes here, but there was a previous way that you would like launch multi-node work.Uh, it's called Leader Worker Set. It's in the Kubernetes standard, and Leader worker set is great. It served a lot of people super well for a long period of time. But one of the things that it's struggles with is representing a set of cases where you have a multi-node replica that has a pair, right?You know, prefill and decode, or it's not paired, but it has like a second stage that has a ratio that changes over time. And prefill and decode are like two different things as your workload changes, right? The amount of prefill you'll need to do may change. [00:42:00] The amount of decode that you, you'll need to do might change, right?Like, let's say you start getting like insanely long queries, right? That probably means that your prefill scales like harder because you're hitting these, this quadratic scaling growth.swyx: Yeah.And then for listeners, like prefill will be long input. Decode would be long output, for example, right?Kyle: Yeah. So like decode, decode scale. I mean, decode is funny because the amount of tokens that you produce scales with the output length, but the amount of work that you do per step scales with the amount of tokens in the context.swyx: Yes.Kyle: So both scales with the input and the output.swyx: That's true.Kyle: But on the pre-fold view code side, like if.Suddenly, like the amount of work you're doing on the decode side stays about the same or like scales a little bit, and then the prefilled side like jumps up a lot. You actually don't want that ratio to be the same. You want it to change over time. So Dynamo has a set of components that A, tell you how to scale.It tells you how many prefilled workers and decoded workers you, it thinks you should have, and also provides a scheduling API for Kubernetes that allows you to actually represent and affect this scheduling on, on, on your actual [00:43:00] hardware, on your compute infrastructure.Nader: Not gonna lie. I feel a little embarrassed for being proud of my SVG function earlier.swyx: No, itNader: wasreallyKyle: cute. I, Iswyx: likeNader: it's all,swyx: it's all engineering. It's all engineering. Um, that's where I'mKyle: technical.swyx: One thing I'm, I'm kind of just curious about with all with you see at a systems level, everything going on here. Mm-hmm. And we, you know, we're scaling it up in, in multi, in distributed systems.Context Length and Co Designswyx: Um, I think one thing that's like kind of, of the moment right now is people are asking, is there any SOL sort of upper bounds. In terms of like, let's call, just call it context length for one for of a better word, but you can break it down however you like.Nader: Yeah.swyx: I just think like, well, yeah, I mean, like clearly you can engage in hybrid architectures and throw in some state space models in there.All, all you want, but it looks, still looks very attention heavy.Kyle: Yes. Uh, yeah. Long context is attention heavy. I mean, we have these hybrid models, um,swyx: to take and most, most models like cap out at a million contexts and that's it. Yeah. Like for the last two years has been it.Kyle: Yeah. The model hardware context co-design thing that we're seeing these days is actually super [00:44:00] interesting.It's like my, my passion, like my secret side passion. We see models like Kimmy or G-P-T-O-S-S. I'm use these because I, I know specific things about these models. So Kimmy two comes out, right? And it's an interesting model. It's like, like a deep seek style architecture is MLA. It's basically deep seek, scaled like a little bit differently, um, and obviously trained differently as well.But they, they talked about, why they made the design choices for context. Kimmy has more experts, but fewer attention heads, and I believe a slightly smaller attention, uh, like dimension. But I need to remember, I need to check that. Uh, it doesn't matter. But they discussed this actually at length in a blog post on ji, which is like our pu which is like credit puswyx: Yeah.Kyle: Um, in, in China. Chinese red.swyx: Yeah.Kyle: It's, yeah. So it, it's, it's actually an incredible blog post. Uh, like all the mls people in, in, in that, I've seen that on GPU are like very brilliant, but they, they talk about like the creators of Kimi K two [00:45:00] actually like, talked about it on, on, on there in the blog post.And they say, we, we actually did an experiment, right? Attention scales with the number of heads, obviously. Like if you have 64 heads versus 32 heads, you do half the work of attention. You still scale quadratic, but you do half the work. And they made a, a very specific like. Sort of barter in their system, in their architecture, they basically said, Hey, what if we gave it more experts, so we're gonna use more memory capacity.But we keep the amount of activated experts the same. We increase the expert sparsity, so we have fewer experts act. The ratio to of experts activated to number of experts is smaller, and we decrease the number of attention heads.Vibhu: And kind of for context, what the, what we had been seeing was you make models sparser instead.So no one was really touching heads. You're just having, uh,Kyle: well, they, they did, they implicitly made it sparser.Vibhu: Yeah, yeah. For, for Kimmy. They did,Kyle: yes.Vibhu: They also made it sparser. But basically what we were seeing was people were at the level of, okay, there's a sparsity ratio. You want more total parameters, less active, and that's sparsity.[00:46:00]But what you see from papers, like, the labs like moonshot deep seek, they go to the level of, okay, outside of just number of experts, you can also change how many attention heads and less attention layers. More attention. Layers. Layers, yeah. Yes, yes. So, and that's all basically coming back to, just tied together is like hardware model, co-design, which isKyle: hardware model, co model, context, co-design.Vibhu: Yeah.Kyle: Right. Like if you were training a, a model that was like. Really, really short context, uh, or like really is good at super short context tasks. You may like design it in a way such that like you don't care about attention scaling because it hasn't hit that, like the turning point where like the quadratic curve takes over.Nader: How do you consider attention or context as a separate part of the co-design? Like I would imagine hardware or just how I would've thought of it is like hardware model. Co-design would be hardware model context co-designKyle: because the harness and the context that is produced by the harness is a part of the model.Once it's trained in,Vibhu: like even though towards the end you'll do long context, you're not changing architecture through I see. Training. Yeah.Kyle: I mean you can try.swyx: You're saying [00:47:00] everyone's training the harness into the model.Kyle: I would say to some degree, orswyx: there's co-design for harness. I know there's a small amount, but I feel like not everyone has like gone full send on this.Kyle: I think, I think I think it's important to internalize the harness that you think the model will be running. Running into the model.swyx: Yeah. Interesting. Okay. Bash is like the universal harness,Kyle: right? Like I'll, I'll give. An example here, right? I mean, or just like a, like a, it's easy proof, right? If you can train against a harness and you're using that harness for everything, wouldn't you just train with the harness to ensure that you get the best possible quality out of,swyx: Well, the, uh, I, I can provide a counter argument.Yeah, sure. Which is what you wanna provide a generally useful model for other people to plug into their harnesses, right? So if youKyle: Yeah. Harnesses can be open, open source, right?swyx: Yeah. So I mean, that's, that's effectively what's happening with Codex.Kyle: Yeah.swyx: And, but like you may want like a different search tool and then you may have to name it differently or,Nader: I don't know how much people have pushed on this, but can you.Train a model, would it be, have you have people compared training a model for the for the harness versus [00:48:00] like post training forswyx: I think it's the same thing. It's the same thing. It's okay. Just extra post training. INader: see.swyx: And so, I mean, cognition does this course, it does this where you, you just have to like, if your tool is slightly different, um, either force your tool to be like the tool that they train for.Hmm. Or undo their training for their tool and then Oh, that's re retrain. Yeah. It's, it's really annoying and like,Kyle: I would hope that eventually we hit like a certain level of generality with respect to training newswyx: tools. This is not a GI like, it's, this is a really stupid like. Learn my tool b***h.Like, I don't know if, I don't know if I can say that, but like, you know, um, I think what my point kind of is, is that there's, like, I look at slopes of the scaling laws and like, this slope is not working, man. We, we are at a million token con

Bit of a meandering episode this time boys, girls, and others. Olympic Raccoon Haired Heroes, USA Hockey (pre Men's Win), and some other stuff. Christ and Sean talk Kid Rock and RFK JR. and how to achieve peak physical health by following the idiots into a cold plunge while wearing Costco denim. What a world. What an embarrassment. What a time to be slowly marching towards our certain demise. Woot woot. Let's friggin go. Parking Lot Drunk is a comedy podcast intended for entertainment purposes only.

Un juez federal en Washington DC bloqueó una norma que restringía el proceso de apelaciones migratorias. Mientras el secretario de guerra Pete Hegseth aseguró que se vienen intensos ataques contra Irán, el secretario de seguridad nacional iraní amenazó al presidente Trump.  Un informe publicado por el New York Times revela que la mayoría de estadounidenses están en contra de la guerra contra Irán. Comienza la revisión del rancho del delincuente sexual Jeffrey Epstein en Nuevo México.  

Kinda sounds like a very boring spy thriller. Boring but affordable. This week's location: Mallards The post Ep. 799 – The Costco Mistake first appeared on Fancy Pants Gangsters.

Costco food menu news leads us to discovering a new hotdog hack. Dylan does something with his Costco dogs that may change the way you eat them forever. Some are calling it brilliant.

Welcome to Omni Talk's Retail Daily Minute, sponsored by Duvo and Mirakl.In today's Retail Daily Minute, Omni Talk's Chris Walton discusses:Costco's Q2 2026 earnings reveal that AI-powered personalized product recommendation carousels drove more than $470 million in e-commerce sales in a single quarter, as digitally-enabled comparable sales surged 22.6%.Albertsons launches a month-long Stock Up Sale running March 6 through April 2 across nearly all its banners, offering hot prices, expanded digital coupons, and quadruple loyalty rewards points in a bid to improve its price image.Kroger announces Customer Appreciation Week, March 11–17, featuring storewide deals and a daily Digital Deal Drop mechanic designed to drive app engagement and urgency for its loyalty members.The Retail Daily Minute has been rocketing up the Feedspot charts, so stay informed with Omni Talk's Retail Daily Minute, your source for the latest and most important retail insights.Be careful out there!

In this episode, we dive into Union Pacific CEO Jim Vena's defense of the proposed $85 billion merger with Norfolk Southern, which he claims will vastly improve rail efficiency and convert two million truckloads to rail annually. Despite an initial rejection from the Surface Transportation Board, the rail companies are gearing up to file an updated application this April. Next, we cover the growing legal battle where a coalition of 24 states and major corporations are suing the Trump administration over sweeping 10% import tariffs. Importers like Nintendo and Costco are seeking billions in refunds, arguing that the administration unlawfully bypassed Congress to levy these emergency duties. Finally, we examine how the war in Iran has severely disrupted ocean freight, prompting the world's largest shipping line to terminate all Arabian Gulf voyages. With the Strait of Hormuz effectively closed, MSC is diverting shipments to safe ports and hitting shippers with a mandatory $800 surcharge per container to cover deviation costs. Follow the FreightWaves NOW Podcast Other FreightWaves Shows Learn more about your ad choices. Visit megaphone.fm/adchoices

Bobo's: Beryl Stafford. A Single Mom Turns a Baking Project into a $100M BusinessAt 40, Beryl Stafford's life cracked open. Her marriage ended, she hadn't worked in years, and she had two daughters to raise. She needed income—fast. So she did the only thing that felt real: she baked.What started as 4-ingredient oat bars— hastily placed in a Boulder coffee shop—became Bobo's, a national brand built in the Silicon Valley of natural foods. In this episode, Beryl walks us through the scrappy early days: buying ingredients at full retail, a risky $25K packaging machine, the Whole Foods breakthrough, the burnout, and the pressure shift that comes with outside capital—and Costco.It's a story powered by community support, relentless demos, and a founder who kept saying “yes” before she knew how.What you'll learn: Why “survival” can be a powerful founder advantageHow to sell your product before you feel ready (and why that's often the point)The unglamorous truth of early CPG: shelf life, shared kitchens, endless demosIn a trend-driven category, the value of sticking to a recipe “your grandmother could have made.” The two faces of Costco: growth rocket and operational trapTimestamps:08:35—Divorced at 40… “I was trying to survive.” 12:02—The baking project with her daughter… and the unexpected product-market signal17:21—The first sale: snack bars in cellophane; making up a price28:38—Sharing a kitchen with Justin's Nut Butters: scrappy collaboration + conflict31:49—The first-time founder playbook: sell first, learn the rest later33:54—Whole Foods says yes… before she knows what “freezer safe packaging” even means39:10—Getting into national distribution: “What just happened?” 46:34—Burnout, hiring a CEO, raising outside money—and what changes when investors arrive54:31—The Costco conundrum: huge upside, real downside —------------------This episode was produced by Noor Gill, with music by Ramtin Arablouei.Edited by Neva Grant, with research help from Alex Cheng.—--------------------- Follow How I Built This:Instagram → @howibuiltthisX → @HowIBuiltThisFacebook → How I Built ThisFollow Guy Raz:Instagram → @guy.razYoutube → guy_razX → @guyrazSubstack → guyraz.substack.comWebsite → guyraz.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

TikTok hack that isn’t really a hack when it comes to buying meat at Costco, a sweet adoption story, we listen to a few voicemails and the highs of life that were hard to stop smiling about.   Call (615)-807-0040 if you want to leave us a voicemail! You can join our Wally Show Poddies Facebook group at www.facebook.com/groups/WallyShowPoddies This podcast is crowd funded - that means that you help make it possible. If you like it and want to support it, give here.

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Our very own Big Al Beezy is dropping a new single he wrote and produced. LauRen asked her husband to go to Costco after he got off a flight, and Maney thinks that's wrong! Speaking of Maney he's a officially a baseball family now! His son is now playing regional tournaments and the Maney's weekends are all about baseball! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to Omni Talk's Retail Daily Minute, sponsored by Grocery Dealz and Mirakl.In today's Retail Daily Minute, Omni Talk's Chris Walton discusses:All Eddie Bauer stores are set to close after the brand's retail operator failed to find a single qualified buyer in bankruptcy court.Costco CEO Ron Vachris pledges to flow any IEEPA tariff refunds back to members through lower prices and better values.Dick's Sporting Goods crashes the AI party, briefly hitting #3 on the Apple App Store's free download chart thanks to a viral wave of posts about the app's fitness rewards feature.The Retail Daily Minute has been rocketing up the Feedspot charts, so stay informed with Omni Talk's Retail Daily Minute, your source for the latest and most important retail insights.Be careful out there!

Linktree: ⁠⁠https://linktr.ee/Analytic⁠⁠Join The Normandy For Ad-Free NME, Additional Bonus Audio And Visual Content For All Things Nme+! Join Here:⁠⁠ ⁠⁠https://ow.ly/msoH50WCu0K⁠⁠The Nintendo Lawsuit Against U.S. Government Over Tariffs (2026) is heating up as Nintendo of America files suit on March 6, 2026, in the United States Court of International Trade. In this segment of Notorious Mass Effect, Analytic Dreamz dives into the high-profile case where Nintendo demands a full refund—with interest—of tariffs paid under now-invalidated policies imposed by the Trump administration starting February 1, 2025.The tariffs, enacted via executive orders under the International Emergency Economic Powers Act (IEEPA), targeted imports from numerous countries, including key Nintendo manufacturing hubs like Vietnam and Cambodia. The Supreme Court ruled on February 20, 2026, in Learning Resources, Inc. v. Trump that IEEPA does not authorize such tariffs, deeming them unlawful and triggering over 380 similar corporate lawsuits (with thousands more including prior cases) from companies like Costco, Toyota, and GoPro seeking refunds on billions collected—estimates range from $166 billion to over $200 billion in total duties.Nintendo claims substantial harm from these "unlawful trade measures," citing impacts like delayed U.S. pre-orders for the Nintendo Switch 2 (originally set to begin April 9, 2025, but postponed due to tariff uncertainty) and price hikes on the original Switch and some Switch 2 peripherals in 2025 to offset costs. The suit names agencies including the U.S. Department of the Treasury, Homeland Security, Customs and Border Protection (CBP), Commerce, and the U.S. Trade Representative, plus officials like Scott Bessent and Kristi Noem.Refunds face delays: CBP cites manpower shortages, outdated systems, and massive volume, though a new processing system is expected in about 45 days. A federal judge has ordered reimbursements to begin, but logistical hurdles persist amid broader industry fallout, including potential future pressures like global RAM shortages.Analytic Dreamz breaks down the timeline, Supreme Court ruling, Nintendo's financial arguments, and what refunds could mean for console pricing across gaming—potentially stabilizing or lowering costs for Switch 2, PlayStation, Xbox, and hardware in 2026–2027 if the wave of litigation succeeds.Support this podcast at — https://redcircle.com/analytic-dreamz-notorious-mass-effect/exclusive-contentPrivacy & Opt-Out: https://redcircle.com/privacy

Send a textIn this unfiltered catch-up, Bobby and Jim dive into a chaotic month of travel, awkward social encounters, and the strangest corners of the internet. From the "scenes" in Puerto Vallarta and Cleveland to the frustrations of being blocked on dating apps in Columbus, no topic is off-limits.We explore the "profound" world of energy work and chakras after a life-altering massage, share our anxieties about aging and health, and somehow end up deep in the rabbit hole of Reborn Dolls and Gooning subcultures. Plus, we discuss why "prices are down" at Costco and critique the latest in A24-style cinema.[00:00] Travel Recaps: New York, Atlanta, and Puerto Vallarta[12:15] Dating App Disasters: Why am I getting blocked?[24:30] Cinema & Pop Culture: Taylor Swift, Charli XCX, and "The Moment"[38:45] Wellness & Energy: The Chakra-Opening Massage[52:20] Aging Anxieties: Physical health and the fear of the unknown[1:05:10] Internet Subcultures: Exploring the world of Reborn Dolls[1:18:40] The Gooner Algorithm & "Bating" CultureSupport the showAs always you can write us at nowellpodcast@gmail.com or call us at ‪(614) 721-5336‬ and tell us your Not Wells of the week InstagramTwitterBobby's Only FansHelp us continue to grow and create amazing content, like a live tour or just help fund some new headphones when needed. Any help is appreacited. https://www.buzzsprout.com/510487/subscribe#gaypodcast #podcast #gay #lgbtq #queerpodcast #lgbt #lgbtpodcast #lgbtqpodcast #gaypodcaster #queer#instagay #podcasts #podcasting #gaylife #pride #lesbian #bhfyp #gaycomedy #comedypodcast #comedy #nyc #614 #shesnotdoingsowell #wiltonmanor #notwell

Karen metal music, the Utah Murder Mystery, Britney Spears arrested, the burger CEO muckbang continues, the boots on the ground debate, the sex offender politician is back, Fritz on the Street, the food headed to the moon with NASA, the Costco controversy and so much more!

Karen metal music, the Utah Murder Mystery, Britney Spears arrested, the burger CEO muckbang continues, the boots on the ground debate, the sex offender politician is back, Fritz on the Street, the food headed to the moon with NASA, the Costco controversy and so much more!See omnystudio.com/listener for privacy information.

Meet my friends, Clay Travis and Buck Sexton! If you love Verdict, the Clay Travis and Buck Sexton Show might also be in your audio wheelhouse. Politics, news analysis, and some pop culture and comedy thrown in too. Here’s a sample episode recapping four takeaways. Give the guys a listen and then follow and subscribe wherever you get your podcasts. How Does This End? The escalating conflict with Iran. Clay and Buck break down a major report from Fox News’ Trey Yingst, who reveals that Israel struck a gathering of Iran’s Supreme Council while they were choosing a new Supreme Leader—an unprecedented intelligence and operational blow. Clay and Buck analyze the implications of U.S.–Israeli air superiority, expressing the view that Iran’s leadership is increasingly vulnerable and unable to protect even top officials. They discuss the likelihood of the U.S. and Israel shaping Iran’s future leadership, referencing historic parallels such as the Northern Alliance in Afghanistan and Venezuela’s post‑Maduro transition. The conversation deepens as they react to President Trump’s warnings that failure to act against Iran’s nuclear program could have led to a “nuclear war,” followed by explosive comments from negotiator Steve Witkoff, who recounts Iran bragging about possessing enough enriched uranium for 11 nuclear bombs. Clay and Buck examine how these revelations accelerated U.S. action and what a post‑strike political landscape may look like inside Iran. Texas Primary Day! Clay Travis and Buck Sexton interview with Congressman Wesley Hunt, a leading candidate in the Texas Senate primary. Hunt lays out his case for next‑generation conservative leadership, citing his West Point background, combat service as an Apache pilot, support for term limits, and strong alignment with President Trump. He sharply criticizes what he calls the “soft bigotry of low expectations” from liberal politicians, slams Gavin Newsom’s recent comments, and emphasizes his commitment to cultural clarity on issues like gender, family values, and assimilation. Hunt also discusses Iran, calling Trump’s actions “peace through strength” and asserting that strategic force prevents greater conflict. Sen. Markwayne Mullin An extended interview featuring Senator Markwayne Mullin of Oklahoma, who discusses the unfolding U.S.–Israel military campaign against Iran. Senator Mullin emphasizes that this is not another Iraq or Afghanistan but a direct confrontation with a regime that has targeted Americans for 47 years. He explains why President Trump’s strategy differs from previous administrations and outlines the intelligence behind striking Iranian leadership, including revelations that Iran claimed to possess enough enriched uranium for 11 nuclear bombs. Mullin argues that Trump’s approach—eliminating threats rather than delaying action—is both historically rare and strategically necessary. Clay and Buck then explore how these operations intersect with the America First doctrine. Senator Mullin responds to skeptical constituents by explaining why actions in Venezuela, Cuba, and Iran directly impact U.S. national security, from drug trafficking to global energy markets. He details how a nuclear‑armed Iran could destabilize world shipping lanes, spike oil prices, endanger U.S. allies, and ultimately threaten the American homeland. The conversation also touches on congressional issues including the SAVE Act and the challenges of overcoming a Senate filibuster. In a lighter turn, the hosts dive into a humorous discussion about physical fitness on Capitol Hill, reacting to viral footage of Secretary of War Pete Hegseth bench‑pressing 315 pounds. Senator Mullin, known for his own extreme fitness feats, compares strength metrics across members of Congress and discusses why physical conditioning boosts confidence, mental health, and leadership. Clay Buys a Tesla In a lighter cultural shift, Clay and Buck riff on generational habits, restaurant drink trends, and Costco culture—highlighted by Buck’s wife humorously blaming his Pellegrino obsession for her bulk‑shopping trips. This segues into a forward‑looking discussion on the future of autonomous driving, sparked by Clay’s firsthand experience with Tesla’s self-driving technology. They predict that self‑driving cars will become the global standard within a generation, reducing accidents, lowering insurance costs, ending drunk driving, and transforming how Americans view car ownership and transportation. Make sure you never miss a second of the show by subscribing to the Clay Travis & Buck Sexton show podcast wherever you get your podcasts! ihr.fm/3InlkL8 For the latest updates from Clay and Buck: https://www.clayandbuck.com/ Connect with Clay Travis and Buck Sexton on Social Media: X - https://x.com/clayandbuck FB - https://www.facebook.com/ClayandBuck/ IG - https://www.instagram.com/clayandbuck/ YouTube - https://www.youtube.com/c/clayandbuck Rumble - https://rumble.com/c/ClayandBuck TikTok - https://www.tiktok.com/@clayandbuck YouTube: https://www.youtube.com/@VerdictwithTedCruzSee omnystudio.com/listener for privacy information.