Podcasts about Token

TIMESTAMPS: 00:00:12 Welcome Back 00:01:26 JWill Celeb Game 00:11:37 Rick Schnall 00:15:35 All Star game 00:23:35 Player Swaps 00:31:27 Jared McCain 00:39:52 KD Burner 00:43:05 Dunk Contest 00:52:31 Tank Culture 00:56:37 Texas Tech 00:59:04 Giannis & Wemby 01:00:07 JWill Beef 01:05:56 Chris Paul 01:10:44 Michael Jordan 01:15:18 JWill's Highlight 01:23:25 JWill's Ankle Story ADS: -- Gametime: Download the Gametime app and use code HOOPIN for $20 off your first purchase. -- DraftKings: GAMBLING PROBLEM? Call 1-800-GAMBLER or 1-800-522-4700, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT. Eligibility restrictions apply. Terms: draftkings.com/sportsbook. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. Opt-in req. 1 Token per customer, valid only for min. $5 pregame NBA player prop bets w/ min. odds of -200 or longer. Tokens are single-use and expire at the start of the final of NBA game each day when offered. Must select token BEFORE placing bet. Customers who place bet w/ Token and pick day's PRA stat leader will receive equal share of $1,000,000, issued as a non-withdrawable Bonus Bet that expires in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Sponsored by DK. -- DraftKings: GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $200 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 3/15/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 3/8/26 at 11:59 PM ET. Sponsored by DK.You can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/patbevpod

Subscribe to The Big Podcast YouTube Channel to watch more episodes! New Customers Bet $5 Get $300 in Bonus Bets Instantly If Your Bet Wins! The Crown Is Yours! Sign up using https://dkng.co/bigpod or through promo code BIGPOD. #DKPartner Full episode: https://youtu.be/E5rUShuMivo If you've been in business for at least a year, and are pulling in $20K a month in revenue, apply now for up to $500,000 in same day business funding at Cardiff.co/BIGPOD GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $200 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 3/15/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 3/8/26 at 11:59 PM ET. Sponsored by DK #nba #lakers #shaq #bigpod #basketball #bigshaq #bigpodcast #netflix #fubar #bodybuilding #california #politics #terminator #conanthebarbarian #robocopSee omnystudio.com/listener for privacy information.

Previously on LMG Presents: Marvel Multiverse RPG… The Riftguards survive the Brood hive and claim the Ultimate Nullifier, then launch their final mission to stop Kang the Devourer. Boarding Kang's ship, they confront the Crimson Surfer and eliminate him without mercy. With no time left, the team fires the Ultimate Nullifier, destroying Kang… and Stormshade with him. Time resets. This time, Will disappears, Stormshade searches for Doom, and instead finds his body. As reality begins to fracture, one final transmission crackles over the radio  Will's voice, ordering Token to fire… and reset the timeline.   Facebook Group: https://www.facebook.com/groups/1628612284256101/   Instagram: https://www.instagram.com/lmgpodnetwork?igsh=YTBtMm1kd3k3a3N3   YouTube: https://www.youtube.com/@TheLMGPodcast   Hosts: Jordan Mitchell  

On Episode 621 of Spittin' Chiclets, the Guys are joined by Kevin Bieksa who is in Italy for the Winter Games. Canadian Curlers cheating? Does Team USA have what it takes to take home the Gold? Will whit's airport nightmares ever end? All this and more on this weeks episode. You won't want to miss it. 00;00;31 - Chiclets Updates 00;11;18 - Kevin Bieksa Interview 01;09;39 - Winter Games 01;22;02 - Whits Airport Fiasco 01;31;01 - Etc. Support the Show: PINK WHITNEY: Take Your Shot with Pink Whitney BODYARMOR: Work hard and hydrate hard with BODYARMOR Flash I.V. Grab it at 7-Eleven LUCY: LUCY is the only pouch that delivers long-lasting, on-demand flavor. Find a store near you at LUCY.CO/STORES or get it shipped with 20% off your first order at LUCY.CO/CHICLETS using code CHICLETS. LUCY products are only for adults of legal age, and every customer is age-verified. Warning, this product contains nicotine. Nicotine is an addictive chemical. RHOBACK: Use the code CHICLETS on https://Rhoback.com for 20% off your first purchase through the end of this week DRAFTKINGS: GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $200 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 3/15/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 3/8/26 at 11:59 PM ET. Sponsored by DK.You can find every episode of this show on Apple Podcasts, Spotify or Netflix. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/schiclets

On this episode of Million Dollaz Worth of Game, Gillie & Wallo sit down with basketball icon Julius "Dr.J" Erving to talk legacy, culture, and the untold story of the ABA. Dr. J joins us to promote his new 4-part docu=series “Soul Power” Streaming on Prime Video. Narrated by hip-hop legend Common and co-produced by former NBA coach George Karl, Soul Power revisits the rise, swagger, and cultural impact of the ABA. It tells the story of the revolutionary league that merged with the NBA 50 years ago and changed basketball forever. We dive deep into Dr. J's upbringing in the 1960s, The influence of the ABA on today's game, Winning a championship in Philadelphia, His iconic free-throw line dunk and basketball culture

Mark Titus and Co. talking hoops… mostly. Thanks to our sponsors: BlueChew: Get 10% off your first month of BlueChew Gold with code HOOPS https://bluechew.com Fabletics: Head to https://Fabletics.com/MOSTLY, take a quick style quiz, and be sure to select MOSTLY when prompted to unlock your 80% off. Wayfair: Head to https://Wayfair.com right now to shop all things home. DraftKings: GAMBLING PROBLEM? Call 1-800-GAMBLER or 1-800-522-4700, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT. Eligibility restrictions apply. Terms: draftkings.com/sportsbook. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. Opt-in req. 1 Token per customer, valid only for min. $5 pregame NBA player prop bets w/ min. odds of -200 or longer. Tokens are single-use and expire at the start of the final of NBA game each day when offered. Must select token BEFORE placing bet. Customers who place bet w/ Token and pick day's PRA stat leader will receive equal share of $1,000,000, issued as a non-withdrawable Bonus Bet that expires in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Sponsored by DK. Subscribe to Mostly Sports on YouTube: https://www.youtube.com/@MostlySportsTitusandWalker?sub_confirmation=1. Follow Mostly Sports on Twitter: https://twitter.com/MostlySports Follow Mark on Twitter: https://twitter.com/clubtrillion Follow Tate on Twitter: https://x.com/BarstoolTate Follow Dana on Twitter https://x.com/danabeers Follow WBR on Twitter: https://x.com/W_B_Rick Follow Mostly Hoops on Instagram: https://www.instagram.com/mostlyhoopsshow/ Follow Mostly Sports on Instagram: https://www.instagram.com/mostlysportsshow/ Follow Mark on Instagram: https://www.instagram.com/marktheshark34/ Follow Tate on Instagram: https://www.instagram.com/barstool_tate/ Follow Dana on Instagram: https://www.instagram.com/danabeers/ Follow Mostly Hoops on Tiktok: https://www.tiktok.com/@mostlyhoopsshow Follow Mostly Sports on TikTok: https://www.tiktok.com/@mostlysportsshow?lang=en

Scott and Wes unpack WebMCP, a new standard that lets AI interact with websites through structured tools instead of slow, bot-style clicking. They demo it, debate imperative vs declarative APIs, and share their hottest take: this might be the web's real AI moment. Show Notes 00:00 Welcome to Syntax! 00:16 Introduction to WebMCP 01:07 Understanding WebMCP Functionality. 03:06 Interacting with AI through WebMCP. 06:49 WebMCP browser integration. 08:25 Brought to you by Sentry.io. 08:49 Benefits of WebMCP. 11:51 Token efficiency. 13:02 My biggest questions. 14:13 My take on this tech. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

"Token Muncher" Executive Producers: Commodore Paul Vreugdenhil Jeff Woodward Dan Bilthouse Sir Foster of the Deep Woods Electrons Associate Executive Producers: Eli the coffee guy La Jolla Salt Corporation Aaltje de Boer Linda Lu, Duchess of Jobs, writer of winning résumés Become a member of the 1844 Club, support the show here Boost us with with Podcasting 2.0 Certified apps: Podverse - Podfriend - Breez - Sphinx - Podstation - Curiocaster - Fountain Knights & Dames Wim Bakker > Ser Willem of Beavertown (Beverwijk) from the Netherlands. Commodore Paul Vreugdenhil > Sir Paul, Knight of the Driftless Area. Art By: Jeffrey Rea End of Show Mixes: Sir Gene EOS We didn't eat the children.mp3 deezlaughs EOS endofshow.2.8.mp3 Mark van Dijk - Systems Master Ryan Bemrose - Program Director Back Office Jae Dvorak Chapters: Dreb Scott Clip Custodian: Neal Jones Clip Collectors: Steve Jones & Dave Ackerman NEW: Gitmo Jams Sign Up for the newsletter No Agenda Peerage ShowNotes Archive of links and Assets (clips etc) 1843.noagendanotes.com Directory Archive of Shownotes (includes all audio and video assets used) archive.noagendanotes.com RSS Podcast Feed Full Summaries in PDF No Agenda Lite in opus format Last Modified 02/15/2026 16:26:29This page created with the FreedomController Last Modified 02/15/2026 16:26:29 by Freedom Controller

Dr. Daniel Daniel is back again talking about how to invest safely and the latest crypto scams and more. He is the crypto trainer that investors new to crypto deserve.   #blockchain #crypto #cryptopodcast   All Episodes can be found at⁠⁠www.thecryptopodcast.org⁠ ⁠ Join my PodFather Podcasting SKOOL Group ⁠⁠https://www.skool.com/podfather/about⁠ ⁠ All about Roy / Brain Gym & Virtual Assistants at ⁠⁠https://roycoughlan.com/⁠ ⁠ Brain Fitness SKOOL Group⁠⁠https://www.skool.com/brainfitness/about⁠     About my Guest Dr. Daniel Daniel :   Dr. Daniel Daniel is the crypto trainer that investors new to crypto deserve. With a keen focus on breaking down the barriers to entry, Dr. Daniel is committed to demystifying crypto investing and streamlining new investors to safely and lucratively invest in crypto after just 7 days. Drawing on his extensive experience in teaching, training and a deep understanding of cryptocurrency investment, Dr. Daniel has developed "The Bull Run Method", his own advanced strategy he uses to successfully invest himself. From buying crypto on centralized exchanges to understanding various crypto investment strategies, Dr. Daniel's training program is truly one of a kind. His unique standing as a trainer lies in his ability to simplify the complicated world of crypto investing, saving crypto investors years of trying to learn it on their own.   What we Discussed:   0:00 Intro   0:15 Who is Dr. Daniel Daniel   02:05 What Happened in Crypto since Daniel was last on the show   03:12 What is Happening in the Crypto World   05:45 The Difference between a Coin and a Token   06:40 Bull & Bear Crypto Cycles   09:15 How the Market works today   10:35 Most Crypto Projects will be gone in a few Years   11:55 Crypto Education Program   15:30 Trump Playing Chess and good for the Crypto Market   16:40 Crypto opportunity is all about when you buy   23:00 How most people get the market wrong   25:05 The New Scams in Crypto   32:00 Nort Korea Crypto Scam Group   35:50 How Mexc Exchange did not allow me to withdraw   37:55 Places where you hold your assets   39:45 Hot & Cold Wallet   43:00 Using an ATM to get your Crypto to cash   47:10 Using your Crypto to Borrow   49:00 Very few Bank will survive if Crypto is adopted by the masses   51:40 How the Banks blocked account in Canada during truckers strike   53:50 Using Blockchain for Voting   55:35 The PayPal Crypto   59:00 The Currency Exchange lie of 'No Commission'   59:40 Revolut and their low fees   1:00:45 Rug pulls   1:04:00 Where to find Dr. Daniel   How to Contact Dr. Daniel Daniel : ⁠ ⁠ ⁠https://danieldanieldentistry.com/⁠   ⁠https://www.instagram.com/iamdr.daniel⁠   ⁠https://www.linkedin.com/in/drdanieldaniel⁠   ⁠https://www.youtube.com/@iamdrdaniel⁠   All about Roy / Brain Gym & Virtual Assistants at⁠⁠⁠https://roycoughlan.com/⁠⁠⁠

Veritable Geschäftsmodelle mit KI: Wie du von Zeit gegen Geld zu echtem Mehrwert kommst   Am Ende dieser Serie stellt sich eine zentrale Frage: Was hast du konkret davon? Du weißt jetzt, was KI leisten kann. Du hast gesehen, wie sie strategisch, taktisch und operativ integriert wird. Doch wie übersetzt du dieses Wissen in ein tragfähiges Geschäftsmodell? Wie entwickelst du dich vom Anwender oder Fachexperten hin zum Architekten, Strategen oder Facilitator mit echter Relevanz? Der Schlüssel liegt darin, neu zu denken, wofür und womit du Geld verdienst.   Torsten Körting auf LinkedIn: LinkedIn - https://www.linkedin.com/in/torstenkoerting/   Wofür du bezahlt wirst: Zeit, Ergebnis, Nutzung oder Nutzen Die meisten starten mit dem klassischen Modell: Zeit gegen Geld. Tagessatz, Stundensatz, Gehalt. Du investierst Arbeitszeit und erhältst dafür eine Vergütung. Dieses Modell ist klar, aber begrenzt skalierbar. Die nächste Stufe ist die Bezahlung nach Ergebnis. Du entwickelst eine KI-Strategie, baust einen Agenten oder konzipierst ein System und wirst für das Resultat bezahlt, unabhängig von deiner investierten Zeit. Hier zählt das gelieferte Outcome, nicht der Aufwand. Noch spannender wird es bei nutzungsbasierten Modellen. Du entwickelst ein KI-System, einen Assistenten oder eine Automatisierung und wirst pro Anwendung, pro User oder pro Token vergütet. Das kennen wir von gängigen KI-Plattformen. Dieses Modell schafft wiederkehrende Erlöse und koppelt dein Einkommen an die tatsächliche Nutzung. Die höchste Stufe ist die Nutzen-basierte Vergütung. Du wirst am messbaren Mehrwert beteiligt. Mehr Umsatz, gerettete Projekte, gesteigerter Deckungsbeitrag oder signifikante Effizienzgewinne. Hier verlässt du die Komfortzone klassischer Beratung und bewegst dich in Richtung echter unternehmerischer Partnerschaft. Single oder Multimodal: Wie komplex ist dein Leistungsversprechen? Neben der Frage, wofür du Geld bekommst, steht die Frage, womit du Geld verdienst. Ein Single-Modales Angebot ist klar abgegrenzt: ein Workshop, ein Strategieprojekt, ein einzelner KI-Agent oder ein Trainingstag. Es erfüllt einen konkreten Zweck und steht für sich. Multimodale Services gehen deutlich weiter. Hier verzahnst du verschiedene Elemente miteinander: Strategie, Umsetzung, Training, Begleitung, digitale Plattform, Community, KI-Integration. Unterschiedliche Medienformen, Systeme und Interaktionen greifen ineinander und erzeugen eine durchgängige Customer Experience. Ein Beispiel: Du kombinierst ein strukturiertes Ausbildungsprogramm mit Live-Sessions, einer Online-Akademie, Community-Austausch, Praxisprojekten und KI-gestützter Reflexion. Das ist kein isoliertes Produkt mehr, sondern ein integriertes System. Genau hier entsteht Differenzierung. KI als strategischer Hebel für anspruchsvollere Modelle Wenn du KI nicht nur als Tool, sondern als integralen Bestandteil deiner Leistung verstehst, verändern sich deine Möglichkeiten radikal. Du kannst Prozesse automatisieren, Analysen skalieren, individuelle Begleitung personalisieren und sogar neue Leistungsbestandteile integrieren, die vorher wirtschaftlich nicht darstellbar waren. KI wird damit zum Enabler für multimodale, nutzenorientierte Geschäftsmodelle. Das verschiebt deine Positionierung. Weg vom reinen Dienstleister, hin zum Trusted Advisor. Weg vom Zeitverkäufer, hin zum Architekten von Systemen. Weg vom isolierten Workshop, hin zu ganzheitlichen Transformationsformaten. Gerade in Kombination mit strategischem Verständnis, Change-Kompetenz, kultureller Einbettung und rechtlicher Sensibilität entsteht ein Leistungsversprechen, das nur wenige wirklich durchdringen. Fazit: Dein nächster Schritt entscheidet über deine Relevanz Die KI ist gekommen, um zu bleiben. Doch sie ist nur ein Werkzeug. Entscheidend ist, wie du sie in dein Geschäftsmodell integrierst. Frag dich ehrlich: Wofür wirst du heute bezahlt? Für Zeit, Ergebnis, Nutzung oder echten Nutzen? Und ist dein Angebot eher singulär oder bereits multimodal verzahnt? Wenn du beginnst, diese Dimensionen bewusst zu kombinieren, eröffnen sich neue Spielräume. Höherwertige Formate. Klare Differenzierung. Mehr Wirkung für deine Kunden. Die Frage ist nicht, ob sich Geschäftsmodelle verändern. Die Frage ist, ob du aktiv gestaltest oder abwartest. Jetzt ist der Moment, deinen nächsten Entwicklungsschritt zu definieren.     Noch mehr von den Koertings ...  Das KI-Café ... jede Woche Mittwoch (>350 Teilnehmer) von 08:30 bis 10:00 Uhr ... online via Zoom .. kostenlos und nicht umsonstJede Woche Mittwoch um 08:30 Uhr öffnet das KI-Café seine Online-Pforten ... wir lösen KI-Anwendungsfälle live auf der Bühne ... moderieren Expertenpanel zu speziellen Themen (bspw. KI im Recruiting ... KI in der Qualitätssicherung ... KI im Projektmanagement ... und vieles mehr) ... ordnen die neuen Entwicklungen in der KI-Welt ein und geben einen Ausblick ... und laden Experten ein für spezielle Themen ... und gehen auch mal in die Tiefe und durchdringen bestimmte Bereiche ganz konkret ... alles für dein Weiterkommen. Melde dich kostenfrei an ... www.koerting-institute.com/ki-cafe/   Mit jedem Prompt ein WOW! ... für Selbstständige und Unternehmer Ein klarer Leitfaden für Unternehmer, Selbstständige und Entscheider, die Künstliche Intelligenz nicht nur verstehen, sondern wirksam einsetzen wollen. Dieses Buch zeigt dir, wie du relevante KI-Anwendungsfälle erkennst und die KI als echten Sparringspartner nutzt, um diese Realität werden zu lassen. Praxisnah, mit echten Beispielen und vollständig umsetzungsorientiert. Das Buch ist ein Geschenk, nur Versandkosten von 9,95 € fallen an. Perfekt für Anfänger und Fortgeschrittene, die mit KI ihr Potenzial ausschöpfen möchten. Das Buch in deinen Briefkasten ... https://koerting-institute.com/shop/buch-mit-jedem-prompt-ein-wow/   Die KI-Lounge ... unsere Community für den Einstieg in die KI (>2800 Mitglieder) Die KI-Lounge ist eine Community für alle, die mehr über generative KI erfahren und anwenden möchten. Mitglieder erhalten exklusive monatliche KI-Updates, Experten-Interviews, Vorträge des KI-Speaker-Slams, KI-Café-Aufzeichnungen und einen 3-stündigen ChatGPT-Kurs. Tausche dich mit über 2800 KI-Enthusiasten aus, stelle Fragen und starte durch. Initiiert von Torsten & Birgit Koerting, bietet die KI-Lounge Orientierung und Inspiration für den Einstieg in die KI-Revolution. Hier findet der Austausch statt ... www.koerting-institute.com/ki-lounge/   Starte mit uns in die 1:1 Zusammenarbeit Wenn du direkt mit uns arbeiten und KI in deinem Business integrieren möchtest, buche dir einen Termin für ein persönliches Gespräch. Gemeinsam finden wir Antworten auf deine Fragen und finden heraus, wie wir dich unterstützen können. Klicke hier, um einen Termin zu buchen und deine Fragen zu klären. Buche dir jetzt deinen Termin mit uns ... www.koerting-institute.com/termin/   Weitere Impulse im Netflix Stil ... Wenn du auf der Suche nach weiteren spannenden Impulsen für deine Selbstständigkeit bist, dann gehe jetzt auf unsere Impulseseite und lass die zahlreichen spannenden Impulse auf dich wirken. Inspiration pur ... www.koerting-institute.com/impulse/   Die Koertings auf die Ohren ... Wenn dir diese Podcastfolge gefallen hat, dann höre dir jetzt noch weitere informative und spannende Folgen an ... über 440 Folgen findest du hier ... www.koerting-institute.com/podcast/   Wir freuen uns darauf, dich auf deinem Weg zu begleiten!        

President Donald Trump wants to keep home prices high, bypassing calls to ramp up construction so people can afford what has been a ticket to the middle class. The real estate industry, local officials and apartment dwellers say is needed to fix a big chunk of America's affordability problem. Meanwhile, Megatel received a “no-action” letter from the Securities and Exchange ‌Commission, allowing it to launch the universal payments token helping households earn a portion of the money they had spent.~This episode is sponsored by BTCC~ BTCC 10% Deposit Bonus! ➜ https://bit.ly/PBNBTCCGuest: Zach Ipour, Founder & CEO at Megatel HomesMegatewl Homes website ➜ https://www.megatelhomes.com/MegPrime App ➜ https://megprimepay.com/00:00 intro00:08 Sponsor: BTCC00:46 Recap: Trump Wants Higher Home Prices02:41 Housing Crisis03:05 Affordability03:29 First SEC No Action Letter for Real Estate04:07 How Megatel Homes is cutting costs09:09 Florida Coming Next09:29 Low Mortage Rates10:45 Coldwell Banker is skeptical11:28 Combating skepticism with validation12:12 Trump support?13:26 Closing hundreds of homes14:55 Token launch15:33 A.I. in Real Estate16:20 Market Size potential17:07 outro#Bitcoin #Ethereum #Crypto~Trump DEMANDS Higher Prices!?

On Episode 620 of Spitting' Chiclets, the boys are joined by T.J. Oshie to talk about broadcasting at the Winter Games, Life after Hockey and much more. But first, the games have been great so far and the storylines write themselves. This is an episode you won't want to miss. 00:00:31 - Canada VS. Latvia 00:27:33 - USA VS. Latvia 00:51:46 - Slovakia VS. Finland 00:58:27 - Sweden VS. Italy 01:07:42 - T.J. Oshie Interview 02:02:07 - Oshawa Generals 02:08:20 - RA's World 02:31:49 - ETC. Support the Show: PINK WHITNEY: Take Your Shot with Pink Whitney KRAKEN: Learn more at https://kraken.com/fdm. Terms apply. Not investment advice. Crypto trading involves risk of loss and is offered to US customers (excluding NY and ME) through Payward Interactive, Inc RHOBACK: Use the Code CHICLETS on RHOBACK.COM for 20% off your first purchase through the end of this week. Terms and Availability may vary by location. NOBULL: Visit https://nobullproject.com and use code CHICLETS for 35% off your entire FIRST order.  LUCY: LUCY products are only for adults of legal age, and every customer is age-verified. Warning, this product contains nicotine. Nicotine is an addictive chemical. DRAFTKINGS: GAMBLING PROBLEM? Call 1-800-GAMBLER or 1-800-522-4700, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY).  Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK.You can find every episode of this show on Apple Podcasts, Spotify or Netflix. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/schiclets

(0:00) Bestie intros (0:23) AI updates: On-prem comeback, token budgets surpass salaries (19:19) Prediction markets: Super Bowl insider trading, how to police? (28:44) All-In Liquidity: The ultimate investor conference (32:48) CBO report: Death spiral, growth opportunity, or golden age? (48:06) State of the economy and US jobs (1:03:22) Ferrari's fully electric car goes viral Apply for Liquidity: https://allinliquidity.com Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it?ab=HP-latest-text-3 https://x.com/mattshumer_/status/2021256989876109403 https://x.com/Jason/status/2021272988100984862 https://x.com/chamath/status/2022009107964899755 https://x.com/chamath/status/2021991383327027322 https://lobstertank.co/?v=1 https://www.cbo.gov/system/files/2026-02/61882-Executive-Summary.pdf https://www.covers.com/industry/prediction-markets-sportsbooks-super-bowl-nevadabetting-handle-february-2026 https://defirate.com/news/insider-trading-claims-hit-super-bowl-prediction-markets/ https://www.wsj.com/world/middle-east/israeli-soldiers-accused-of-using-polymarket-to-bet-on-strikes-72d53012 https://www.youtube.com/watch?v=SzuvVcH2amc https://www.cbo.gov/system/files/2026-02/61882-Executive-Summary.pdf https://fred.stlouisfed.org/series/FYONGDA188S https://fred.stlouisfed.org/series/FYFRGDA188S https://x.com/RealEJAntoni/status/2021608233866027065 https://www.ice.gov/news/releases/asplundh-tree-experts-co-pays-largest-civil-settlement-agreement-ever-levied-ice https://www.justice.gov/usao-edpa/pr/asplundh-tree-expert-co-charged-recruiting-hiring-and-employing-unauthorized-aliens https://www.nbcnews.com/news/us-news/tree-company-pay-record-fine-immigration-practices-n805756 https://www.kff.org/racial-equity-and-health-policy/kff-la-times-survey-of-immigrants/#d53efe98-31a4-48f1-944f-b1b1aff36c06

Namik Muduroglu and Amir Almaimani walk through MegaETH's launch strategy and why they are delaying the TGE. Thank you to our sponsors! ⁠Figure⁠ ⁠Crypto Tax Girl Months after its oversubscribed initial coin offering, MegaETH's mainnet is live. But the project is not launching its token just yet.  In this Unchained podcast episode, MegaETH strategy chief Namik Muduroglu and Head of Ecosystem Amir Almaimani break down the Ethereum Layer 2 chain's launch strategy, including its decision to delay TGE. They also explain how the MegaETH is navigating the current market slump and how it is positioning USDM as its long term moat. Plus, why they believe credible neutrality is a “losing strategy.” Guests: Namik Muduroglu, CSO & Founding Team at MegaETH Amir Almaimani, Head of Ecosystem of MegaETH Previous appearances on Unchained: MegaETH Just Had Its Public Sale. Can It Succeed in Building a Web2-Like Experience? Links: Unchained: Ethereum Lets Go of the Rollup Story. Here Are the 6 Tokens That Benefit MegaETH Plans Return of All Pre-Deposit Funds MegaETH Just Had Its Public Sale. Can It Succeed in Building a Web2-Like Experience? Learn more about your ad choices. Visit megaphone.fm/adchoices

Don Broco just announced their new album 'Nightmare Tripping' will be out March 27th anf they just released the title track featuring NICKELBACK!Frontman Rob Damiani chats about the collabs, why the new album was delayed, another surprise on it and more.Don't forget to bang your head on the links belowTikTokhttps://www.tiktok.com/@jesealeeInstagramhttps://www.instagram.com/jesealee/YouTubehttps://youtube.com/@JeseaLeePodcast available on Spotify, YouTube, Apple Music and everywhere else you consume podcastsProduction by WhatTheGleeson Content Creation https://www.instagram.com/whatthegleesonTheme song by Michael Stoutengerhttps://open.spotify.com/artist/6LO5eGttpemsEdm5kixX10?si=pXW6AbohTWaFgHMdh3ZmzgSubscribe to my newsletter:https://jesealee.substack.com/Everything else:https://www.jesealee.com/

After years of ignoring and maligning Windows, Microsoft has finally woken up and is making some happy noises. Last week, we discussed how Microsoft plans to improve the quality of Windows and that there are already many signs of that work in various security features and new OneDrive Folder Backup changes - plus those two new direct reports to Nadella. Then, Microsoft announced its Windows Baseline Security Mode and User Transparency and Consent initiatives with questions about the timing. And now, Microsoft just explained Windows 11 version 26H1, and it's not like 24H2 at all despite being tied to Snapdragon X2 silicon.Something happened ... and that something is tied to 26H1 26H1: Only for Snapdragon X2, a "scoped release," based on a "different core" from 24H2 and 25H2 You cannot upgrade 24H2 or 25H2 to 26H1 You cannot upgrade 26H1 to 26H2 (!) - instead, those on 26H1 "will have a path to update in a future Windows release." - Is that future Windows release Windows 12? Probably 24H2, 25H2, and 26H1 will all have the same user-facing features, this has been the case with all support Windows (11) versions for 2+ years (Remember, this is not what happened with 24H2. Shipped early on Snapdragon X1, but was made available to all Windows 11 PCs later that year) So why is this happening now? Fortune 500/corporate customer pushback on AI is one guess This is GOOD news, however it all unfolds More Windows 11 Yesterday was Patch Tuesday, so get to work. Updates this month include: Agent in Settings (Copilot+ PCs only) improvements. Settings improvements, cross-device Resume improvements, Windows MIDI Services improvements, Narrator improvements, Smart App Control improvements, Windows Hello New ESS improvements, and File Explorer improvements Somewhat related to the quality/security push noted above, Microsoft is rolling out new Secure Boot certificates this year for older (pre-2024/25) PCs Microsoft announces a Store CLI that does (almost) nothing new compared to winget New Dev and Beta builds with minor changes: Emoji 16.0, camera improvements, various fixes More earnings Amazon hits $213.4 billion in revenues, will spend $200 billion CAPEX/AI infrastructure this fiscal year, more than Google ($175/$185 billion) or Microsoft (estimated $150+ billion) Qualcomm $12.25 billion in revenues, up 5 percent Alphabet/Google - Up 18 percent (!) to $113.8 billion - 750 million MAUs on Gemini, 74 percent of revenues come from advertising Spotify - somehow has over 750 million MAUs now AI and dev OpenAI and Anthropic release dueling agentic AI coding models that do more than agentic AI coding within minutes of each other Ads appear in ChatGPT Free and Go as threatened Duck.ai adds private, anonymous real-time AI voice chat NET 11 Preview 1 arrives, but there's nothing major here Xbox & games Microsoft announces the 2025 Xbox Excellence Awards Celebrate 35 years of Id Software - Castle Wolfenstein 3D was a wake-up call for PC gaming, but DOOM was a miracle, and Quake was a real WTF moment Sony sold 8 million PlayStation 5s (down 16 percent YOY) in the holiday quarter, 92 million (!) overall Valve predictably delays the vaporware Steam Machine Epic Games is having a winter sale - for example, Silent Hill 2, GTA V Enhanced are 50 percentR These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/970 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: threatlocker.com/twit helixsleep.com/windows trustedtech.team/windowsweekly365 cachefly.com/twit

After years of ignoring and maligning Windows, Microsoft has finally woken up and is making some happy noises. Last week, we discussed how Microsoft plans to improve the quality of Windows and that there are already many signs of that work in various security features and new OneDrive Folder Backup changes - plus those two new direct reports to Nadella. Then, Microsoft announced its Windows Baseline Security Mode and User Transparency and Consent initiatives with questions about the timing. And now, Microsoft just explained Windows 11 version 26H1, and it's not like 24H2 at all despite being tied to Snapdragon X2 silicon.Something happened ... and that something is tied to 26H1 26H1: Only for Snapdragon X2, a "scoped release," based on a "different core" from 24H2 and 25H2 You cannot upgrade 24H2 or 25H2 to 26H1 You cannot upgrade 26H1 to 26H2 (!) - instead, those on 26H1 "will have a path to update in a future Windows release." - Is that future Windows release Windows 12? Probably 24H2, 25H2, and 26H1 will all have the same user-facing features, this has been the case with all support Windows (11) versions for 2+ years (Remember, this is not what happened with 24H2. Shipped early on Snapdragon X1, but was made available to all Windows 11 PCs later that year) So why is this happening now? Fortune 500/corporate customer pushback on AI is one guess This is GOOD news, however it all unfolds More Windows 11 Yesterday was Patch Tuesday, so get to work. Updates this month include: Agent in Settings (Copilot+ PCs only) improvements. Settings improvements, cross-device Resume improvements, Windows MIDI Services improvements, Narrator improvements, Smart App Control improvements, Windows Hello New ESS improvements, and File Explorer improvements Somewhat related to the quality/security push noted above, Microsoft is rolling out new Secure Boot certificates this year for older (pre-2024/25) PCs Microsoft announces a Store CLI that does (almost) nothing new compared to winget New Dev and Beta builds with minor changes: Emoji 16.0, camera improvements, various fixes More earnings Amazon hits $213.4 billion in revenues, will spend $200 billion CAPEX/AI infrastructure this fiscal year, more than Google ($175/$185 billion) or Microsoft (estimated $150+ billion) Qualcomm $12.25 billion in revenues, up 5 percent Alphabet/Google - Up 18 percent (!) to $113.8 billion - 750 million MAUs on Gemini, 74 percent of revenues come from advertising Spotify - somehow has over 750 million MAUs now AI and dev OpenAI and Anthropic release dueling agentic AI coding models that do more than agentic AI coding within minutes of each other Ads appear in ChatGPT Free and Go as threatened Duck.ai adds private, anonymous real-time AI voice chat NET 11 Preview 1 arrives, but there's nothing major here Xbox & games Microsoft announces the 2025 Xbox Excellence Awards Celebrate 35 years of Id Software - Castle Wolfenstein 3D was a wake-up call for PC gaming, but DOOM was a miracle, and Quake was a real WTF moment Sony sold 8 million PlayStation 5s (down 16 percent YOY) in the holiday quarter, 92 million (!) overall Valve predictably delays the vaporware Steam Machine Epic Games is having a winter sale - for example, Silent Hill 2, GTA V Enhanced are 50 percentR These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/970 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: threatlocker.com/twit helixsleep.com/windows trustedtech.team/windowsweekly365 cachefly.com/twit

After years of ignoring and maligning Windows, Microsoft has finally woken up and is making some happy noises. Last week, we discussed how Microsoft plans to improve the quality of Windows and that there are already many signs of that work in various security features and new OneDrive Folder Backup changes - plus those two new direct reports to Nadella. Then, Microsoft announced its Windows Baseline Security Mode and User Transparency and Consent initiatives with questions about the timing. And now, Microsoft just explained Windows 11 version 26H1, and it's not like 24H2 at all despite being tied to Snapdragon X2 silicon.Something happened ... and that something is tied to 26H1 26H1: Only for Snapdragon X2, a "scoped release," based on a "different core" from 24H2 and 25H2 You cannot upgrade 24H2 or 25H2 to 26H1 You cannot upgrade 26H1 to 26H2 (!) - instead, those on 26H1 "will have a path to update in a future Windows release." - Is that future Windows release Windows 12? Probably 24H2, 25H2, and 26H1 will all have the same user-facing features, this has been the case with all support Windows (11) versions for 2+ years (Remember, this is not what happened with 24H2. Shipped early on Snapdragon X1, but was made available to all Windows 11 PCs later that year) So why is this happening now? Fortune 500/corporate customer pushback on AI is one guess This is GOOD news, however it all unfolds More Windows 11 Yesterday was Patch Tuesday, so get to work. Updates this month include: Agent in Settings (Copilot+ PCs only) improvements. Settings improvements, cross-device Resume improvements, Windows MIDI Services improvements, Narrator improvements, Smart App Control improvements, Windows Hello New ESS improvements, and File Explorer improvements Somewhat related to the quality/security push noted above, Microsoft is rolling out new Secure Boot certificates this year for older (pre-2024/25) PCs Microsoft announces a Store CLI that does (almost) nothing new compared to winget New Dev and Beta builds with minor changes: Emoji 16.0, camera improvements, various fixes More earnings Amazon hits $213.4 billion in revenues, will spend $200 billion CAPEX/AI infrastructure this fiscal year, more than Google ($175/$185 billion) or Microsoft (estimated $150+ billion) Qualcomm $12.25 billion in revenues, up 5 percent Alphabet/Google - Up 18 percent (!) to $113.8 billion - 750 million MAUs on Gemini, 74 percent of revenues come from advertising Spotify - somehow has over 750 million MAUs now AI and dev OpenAI and Anthropic release dueling agentic AI coding models that do more than agentic AI coding within minutes of each other Ads appear in ChatGPT Free and Go as threatened Duck.ai adds private, anonymous real-time AI voice chat NET 11 Preview 1 arrives, but there's nothing major here Xbox & games Microsoft announces the 2025 Xbox Excellence Awards Celebrate 35 years of Id Software - Castle Wolfenstein 3D was a wake-up call for PC gaming, but DOOM was a miracle, and Quake was a real WTF moment Sony sold 8 million PlayStation 5s (down 16 percent YOY) in the holiday quarter, 92 million (!) overall Valve predictably delays the vaporware Steam Machine Epic Games is having a winter sale - for example, Silent Hill 2, GTA V Enhanced are 50 percentR These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/970 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: threatlocker.com/twit helixsleep.com/windows trustedtech.team/windowsweekly365 cachefly.com/twit

After years of ignoring and maligning Windows, Microsoft has finally woken up and is making some happy noises. Last week, we discussed how Microsoft plans to improve the quality of Windows and that there are already many signs of that work in various security features and new OneDrive Folder Backup changes - plus those two new direct reports to Nadella. Then, Microsoft announced its Windows Baseline Security Mode and User Transparency and Consent initiatives with questions about the timing. And now, Microsoft just explained Windows 11 version 26H1, and it's not like 24H2 at all despite being tied to Snapdragon X2 silicon.Something happened ... and that something is tied to 26H1 26H1: Only for Snapdragon X2, a "scoped release," based on a "different core" from 24H2 and 25H2 You cannot upgrade 24H2 or 25H2 to 26H1 You cannot upgrade 26H1 to 26H2 (!) - instead, those on 26H1 "will have a path to update in a future Windows release." - Is that future Windows release Windows 12? Probably 24H2, 25H2, and 26H1 will all have the same user-facing features, this has been the case with all support Windows (11) versions for 2+ years (Remember, this is not what happened with 24H2. Shipped early on Snapdragon X1, but was made available to all Windows 11 PCs later that year) So why is this happening now? Fortune 500/corporate customer pushback on AI is one guess This is GOOD news, however it all unfolds More Windows 11 Yesterday was Patch Tuesday, so get to work. Updates this month include: Agent in Settings (Copilot+ PCs only) improvements. Settings improvements, cross-device Resume improvements, Windows MIDI Services improvements, Narrator improvements, Smart App Control improvements, Windows Hello New ESS improvements, and File Explorer improvements Somewhat related to the quality/security push noted above, Microsoft is rolling out new Secure Boot certificates this year for older (pre-2024/25) PCs Microsoft announces a Store CLI that does (almost) nothing new compared to winget New Dev and Beta builds with minor changes: Emoji 16.0, camera improvements, various fixes More earnings Amazon hits $213.4 billion in revenues, will spend $200 billion CAPEX/AI infrastructure this fiscal year, more than Google ($175/$185 billion) or Microsoft (estimated $150+ billion) Qualcomm $12.25 billion in revenues, up 5 percent Alphabet/Google - Up 18 percent (!) to $113.8 billion - 750 million MAUs on Gemini, 74 percent of revenues come from advertising Spotify - somehow has over 750 million MAUs now AI and dev OpenAI and Anthropic release dueling agentic AI coding models that do more than agentic AI coding within minutes of each other Ads appear in ChatGPT Free and Go as threatened Duck.ai adds private, anonymous real-time AI voice chat NET 11 Preview 1 arrives, but there's nothing major here Xbox & games Microsoft announces the 2025 Xbox Excellence Awards Celebrate 35 years of Id Software - Castle Wolfenstein 3D was a wake-up call for PC gaming, but DOOM was a miracle, and Quake was a real WTF moment Sony sold 8 million PlayStation 5s (down 16 percent YOY) in the holiday quarter, 92 million (!) overall Valve predictably delays the vaporware Steam Machine Epic Games is having a winter sale - for example, Silent Hill 2, GTA V Enhanced are 50 percentR These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/970 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: threatlocker.com/twit helixsleep.com/windows trustedtech.team/windowsweekly365 cachefly.com/twit

From rewriting Google's search stack in the early 2000s to reviving sparse trillion-parameter models and co-designing TPUs with frontier ML research, Jeff Dean has quietly shaped nearly every layer of the modern AI stack. As Chief AI Scientist at Google and a driving force behind Gemini, Jeff has lived through multiple scaling revolutions from CPUs and sharded indices to multimodal models that reason across text, video, and code.Jeff joins us to unpack what it really means to “own the Pareto frontier,” why distillation is the engine behind every Flash model breakthrough, how energy (in picojoules) not FLOPs is becoming the true bottleneck, what it was like leading the charge to unify all of Google's AI teams, and why the next leap won't come from bigger context windows alone, but from systems that give the illusion of attending to trillions of tokens.We discuss:* Jeff's early neural net thesis in 1990: parallel training before it was cool, why he believed scaling would win decades early, and the “bigger model, more data, better results” mantra that held for 15 years* The evolution of Google Search: sharding, moving the entire index into memory in 2001, softening query semantics pre-LLMs, and why retrieval pipelines already resemble modern LLM systems* Pareto frontier strategy: why you need both frontier “Pro” models and low-latency “Flash” models, and how distillation lets smaller models surpass prior generations* Distillation deep dive: ensembles → compression → logits as soft supervision, and why you need the biggest model to make the smallest one good* Latency as a first-class objective: why 10–50x lower latency changes UX entirely, and how future reasoning workloads will demand 10,000 tokens/sec* Energy-based thinking: picojoules per bit, why moving data costs 1000x more than a multiply, batching through the lens of energy, and speculative decoding as amortization* TPU co-design: predicting ML workloads 2–6 years out, speculative hardware features, precision reduction, sparsity, and the constant feedback loop between model architecture and silicon* Sparse models and “outrageously large” networks: trillions of parameters with 1–5% activation, and why sparsity was always the right abstraction* Unified vs. specialized models: abandoning symbolic systems, why general multimodal models tend to dominate vertical silos, and when vertical fine-tuning still makes sense* Long context and the illusion of scale: beyond needle-in-a-haystack benchmarks toward systems that narrow trillions of tokens to 117 relevant documents* Personalized AI: attending to your emails, photos, and documents (with permission), and why retrieval + reasoning will unlock deeply personal assistants* Coding agents: 50 AI interns, crisp specifications as a new core skill, and how ultra-low latency will reshape human–agent collaboration* Why ideas still matter: transformers, sparsity, RL, hardware, systems — scaling wasn't blind; the pieces had to multiply togetherShow Notes:* Gemma 3 Paper* Gemma 3* Gemini 2.5 Report* Jeff Dean's “Software Engineering Advice fromBuilding Large-Scale Distributed Systems” Presentation (with Back of the Envelope Calculations)* Latency Numbers Every Programmer Should Know by Jeff Dean* The Jeff Dean Facts* Jeff Dean Google Bio* Jeff Dean on “Important AI Trends” @Stanford AI Club* Jeff Dean & Noam Shazeer — 25 years at Google (Dwarkesh)—Jeff Dean* LinkedIn: https://www.linkedin.com/in/jeff-dean-8b212555* X: https://x.com/jeffdeanGoogle* https://google.com* https://deepmind.googleFull Video EpisodeTimestamps00:00:04 — Introduction: Alessio & Swyx welcome Jeff Dean, chief AI scientist at Google, to the Latent Space podcast00:00:30 — Owning the Pareto Frontier & balancing frontier vs low-latency models00:01:31 — Frontier models vs Flash models + role of distillation00:03:52 — History of distillation and its original motivation00:05:09 — Distillation's role in modern model scaling00:07:02 — Model hierarchy (Flash, Pro, Ultra) and distillation sources00:07:46 — Flash model economics & wide deployment00:08:10 — Latency importance for complex tasks00:09:19 — Saturation of some tasks and future frontier tasks00:11:26 — On benchmarks, public vs internal00:12:53 — Example long-context benchmarks & limitations00:15:01 — Long-context goals: attending to trillions of tokens00:16:26 — Realistic use cases beyond pure language00:18:04 — Multimodal reasoning and non-text modalities00:19:05 — Importance of vision & motion modalities00:20:11 — Video understanding example (extracting structured info)00:20:47 — Search ranking analogy for LLM retrieval00:23:08 — LLM representations vs keyword search00:24:06 — Early Google search evolution & in-memory index00:26:47 — Design principles for scalable systems00:28:55 — Real-time index updates & recrawl strategies00:30:06 — Classic “Latency numbers every programmer should know”00:32:09 — Cost of memory vs compute and energy emphasis00:34:33 — TPUs & hardware trade-offs for serving models00:35:57 — TPU design decisions & co-design with ML00:38:06 — Adapting model architecture to hardware00:39:50 — Alternatives: energy-based models, speculative decoding00:42:21 — Open research directions: complex workflows, RL00:44:56 — Non-verifiable RL domains & model evaluation00:46:13 — Transition away from symbolic systems toward unified LLMs00:47:59 — Unified models vs specialized ones00:50:38 — Knowledge vs reasoning & retrieval + reasoning00:52:24 — Vertical model specialization & modules00:55:21 — Token count considerations for vertical domains00:56:09 — Low resource languages & contextual learning00:59:22 — Origins: Dean's early neural network work01:10:07 — AI for coding & human–model interaction styles01:15:52 — Importance of crisp specification for coding agents01:19:23 — Prediction: personalized models & state retrieval01:22:36 — Token-per-second targets (10k+) and reasoning throughput01:23:20 — Episode conclusion and thanksTranscriptAlessio Fanelli [00:00:04]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, founder of Kernel Labs, and I'm joined by Swyx, editor of Latent Space. Shawn Wang [00:00:11]: Hello, hello. We're here in the studio with Jeff Dean, chief AI scientist at Google. Welcome. Thanks for having me. It's a bit surreal to have you in the studio. I've watched so many of your talks, and obviously your career has been super legendary. So, I mean, congrats. I think the first thing must be said, congrats on owning the Pareto Frontier.Jeff Dean [00:00:30]: Thank you, thank you. Pareto Frontiers are good. It's good to be out there.Shawn Wang [00:00:34]: Yeah, I mean, I think it's a combination of both. You have to own the Pareto Frontier. You have to have like frontier capability, but also efficiency, and then offer that range of models that people like to use. And, you know, some part of this was started because of your hardware work. Some part of that is your model work, and I'm sure there's lots of secret sauce that you guys have worked on cumulatively. But, like, it's really impressive to see it all come together in, like, this slittily advanced.Jeff Dean [00:01:04]: Yeah, yeah. I mean, I think, as you say, it's not just one thing. It's like a whole bunch of things up and down the stack. And, you know, all of those really combine to help make UNOS able to make highly capable large models, as well as, you know, software techniques to get those large model capabilities into much smaller, lighter weight models that are, you know, much more cost effective and lower latency, but still, you know, quite capable for their size. Yeah.Alessio Fanelli [00:01:31]: How much pressure do you have on, like, having the lower bound of the Pareto Frontier, too? I think, like, the new labs are always trying to push the top performance frontier because they need to raise more money and all of that. And you guys have billions of users. And I think initially when you worked on the CPU, you were thinking about, you know, if everybody that used Google, we use the voice model for, like, three minutes a day, they were like, you need to double your CPU number. Like, what's that discussion today at Google? Like, how do you prioritize frontier versus, like, we have to do this? How do we actually need to deploy it if we build it?Jeff Dean [00:02:03]: Yeah, I mean, I think we always want to have models that are at the frontier or pushing the frontier because I think that's where you see what capabilities now exist that didn't exist at the sort of slightly less capable last year's version or last six months ago version. At the same time, you know, we know those are going to be really useful for a bunch of use cases, but they're going to be a bit slower and a bit more expensive than people might like for a bunch of other broader models. So I think what we want to do is always have kind of a highly capable sort of affordable model that enables a whole bunch of, you know, lower latency use cases. People can use them for agentic coding much more readily and then have the high-end, you know, frontier model that is really useful for, you know, deep reasoning, you know, solving really complicated math problems, those kinds of things. And it's not that. One or the other is useful. They're both useful. So I think we'd like to do both. And also, you know, through distillation, which is a key technique for making the smaller models more capable, you know, you have to have the frontier model in order to then distill it into your smaller model. So it's not like an either or choice. You sort of need that in order to actually get a highly capable, more modest size model. Yeah.Alessio Fanelli [00:03:24]: I mean, you and Jeffrey came up with the solution in 2014.Jeff Dean [00:03:28]: Don't forget, L'Oreal Vinyls as well. Yeah, yeah.Alessio Fanelli [00:03:30]: A long time ago. But like, I'm curious how you think about the cycle of these ideas, even like, you know, sparse models and, you know, how do you reevaluate them? How do you think about in the next generation of model, what is worth revisiting? Like, yeah, they're just kind of like, you know, you worked on so many ideas that end up being influential, but like in the moment, they might not feel that way necessarily. Yeah.Jeff Dean [00:03:52]: I mean, I think distillation was originally motivated because we were seeing that we had a very large image data set at the time, you know, 300 million images that we could train on. And we were seeing that if you create specialists for different subsets of those image categories, you know, this one's going to be really good at sort of mammals, and this one's going to be really good at sort of indoor room scenes or whatever, and you can cluster those categories and train on an enriched stream of data after you do pre-training on a much broader set of images. You get much better performance. If you then treat that whole set of maybe 50 models you've trained as a large ensemble, but that's not a very practical thing to serve, right? So distillation really came about from the idea of, okay, what if we want to actually serve that and train all these independent sort of expert models and then squish it into something that actually fits in a form factor that you can actually serve? And that's, you know, not that different from what we're doing today. You know, often today we're instead of having an ensemble of 50 models. We're having a much larger scale model that we then distill into a much smaller scale model.Shawn Wang [00:05:09]: Yeah. A part of me also wonders if distillation also has a story with the RL revolution. So let me maybe try to articulate what I mean by that, which is you can, RL basically spikes models in a certain part of the distribution. And then you have to sort of, well, you can spike models, but usually sometimes... It might be lossy in other areas and it's kind of like an uneven technique, but you can probably distill it back and you can, I think that the sort of general dream is to be able to advance capabilities without regressing on anything else. And I think like that, that whole capability merging without loss, I feel like it's like, you know, some part of that should be a distillation process, but I can't quite articulate it. I haven't seen much papers about it.Jeff Dean [00:06:01]: Yeah, I mean, I tend to think of one of the key advantages of distillation is that you can have a much smaller model and you can have a very large, you know, training data set and you can get utility out of making many passes over that data set because you're now getting the logits from the much larger model in order to sort of coax the right behavior out of the smaller model that you wouldn't otherwise get with just the hard labels. And so, you know, I think that's what we've observed. Is you can get, you know, very close to your largest model performance with distillation approaches. And that seems to be, you know, a nice sweet spot for a lot of people because it enables us to kind of, for multiple Gemini generations now, we've been able to make the sort of flash version of the next generation as good or even substantially better than the previous generations pro. And I think we're going to keep trying to do that because that seems like a good trend to follow.Shawn Wang [00:07:02]: So, Dara asked, so it was the original map was Flash Pro and Ultra. Are you just sitting on Ultra and distilling from that? Is that like the mother load?Jeff Dean [00:07:12]: I mean, we have a lot of different kinds of models. Some are internal ones that are not necessarily meant to be released or served. Some are, you know, our pro scale model and we can distill from that as well into our Flash scale model. So I think, you know, it's an important set of capabilities to have and also inference time scaling. It can also be a useful thing to improve the capabilities of the model.Shawn Wang [00:07:35]: And yeah, yeah, cool. Yeah. And obviously, I think the economy of Flash is what led to the total dominance. I think the latest number is like 50 trillion tokens. I don't know. I mean, obviously, it's changing every day.Jeff Dean [00:07:46]: Yeah, yeah. But, you know, by market share, hopefully up.Shawn Wang [00:07:50]: No, I mean, there's no I mean, there's just the economics wise, like because Flash is so economical, like you can use it for everything. Like it's in Gmail now. It's in YouTube. Like it's yeah. It's in everything.Jeff Dean [00:08:02]: We're using it more in our search products of various AI mode reviews.Shawn Wang [00:08:05]: Oh, my God. Flash past the AI mode. Oh, my God. Yeah, that's yeah, I didn't even think about that.Jeff Dean [00:08:10]: I mean, I think one of the things that is quite nice about the Flash model is not only is it more affordable, it's also a lower latency. And I think latency is actually a pretty important characteristic for these models because we're going to want models to do much more complicated things that are going to involve, you know, generating many more tokens from when you ask the model to do so. So, you know, if you're going to ask the model to do something until it actually finishes what you ask it to do, because you're going to ask now, not just write me a for loop, but like write me a whole software package to do X or Y or Z. And so having low latency systems that can do that seems really important. And Flash is one direction, one way of doing that. You know, obviously our hardware platforms enable a bunch of interesting aspects of our, you know, serving stack as well, like TPUs, the interconnect between. Chips on the TPUs is actually quite, quite high performance and quite amenable to, for example, long context kind of attention operations, you know, having sparse models with lots of experts. These kinds of things really, really matter a lot in terms of how do you make them servable at scale.Alessio Fanelli [00:09:19]: Yeah. Does it feel like there's some breaking point for like the proto Flash distillation, kind of like one generation delayed? I almost think about almost like the capability as a. In certain tasks, like the pro model today is a saturated, some sort of task. So next generation, that same task will be saturated at the Flash price point. And I think for most of the things that people use models for at some point, the Flash model in two generation will be able to do basically everything. And how do you make it economical to like keep pushing the pro frontier when a lot of the population will be okay with the Flash model? I'm curious how you think about that.Jeff Dean [00:09:59]: I mean, I think that's true. If your distribution of what people are asking people, the models to do is stationary, right? But I think what often happens is as the models become more capable, people ask them to do more, right? So, I mean, I think this happens in my own usage. Like I used to try our models a year ago for some sort of coding task, and it was okay at some simpler things, but wouldn't do work very well for more complicated things. And since then, we've improved dramatically on the more complicated coding tasks. And now I'll ask it to do much more complicated things. And I think that's true, not just of coding, but of, you know, now, you know, can you analyze all the, you know, renewable energy deployments in the world and give me a report on solar panel deployment or whatever. That's a very complicated, you know, more complicated task than people would have asked a year ago. And so you are going to want more capable models to push the frontier in the absence of what people ask the models to do. And that also then gives us. Insight into, okay, where does the, where do things break down? How can we improve the model in these, these particular areas, uh, in order to sort of, um, make the next generation even better.Alessio Fanelli [00:11:11]: Yeah. Are there any benchmarks or like test sets they use internally? Because it's almost like the same benchmarks get reported every time. And it's like, all right, it's like 99 instead of 97. Like, how do you have to keep pushing the team internally to it? Or like, this is what we're building towards. Yeah.Jeff Dean [00:11:26]: I mean, I think. Benchmarks, particularly external ones that are publicly available. Have their utility, but they often kind of have a lifespan of utility where they're introduced and maybe they're quite hard for current models. You know, I, I like to think of the best kinds of benchmarks are ones where the initial scores are like 10 to 20 or 30%, maybe, but not higher. And then you can sort of work on improving that capability for, uh, whatever it is, the benchmark is trying to assess and get it up to like 80, 90%, whatever. I, I think once it hits kind of 95% or something, you get very diminishing returns from really focusing on that benchmark, cuz it's sort of, it's either the case that you've now achieved that capability, or there's also the issue of leakage in public data or very related kind of data being, being in your training data. Um, so we have a bunch of held out internal benchmarks that we really look at where we know that wasn't represented in the training data at all. There are capabilities that we want the model to have. Um, yeah. Yeah. Um, that it doesn't have now, and then we can work on, you know, assessing, you know, how do we make the model better at these kinds of things? Is it, we need different kind of data to train on that's more specialized for this particular kind of task. Do we need, um, you know, a bunch of, uh, you know, architectural improvements or some sort of, uh, model capability improvements, you know, what would help make that better?Shawn Wang [00:12:53]: Is there, is there such an example that you, uh, a benchmark inspired in architectural improvement? Like, uh, I'm just kind of. Jumping on that because you just.Jeff Dean [00:13:02]: Uh, I mean, I think some of the long context capability of the, of the Gemini models that came, I guess, first in 1.5 really were about looking at, okay, we want to have, um, you know,Shawn Wang [00:13:15]: immediately everyone jumped to like completely green charts of like, everyone had, I was like, how did everyone crack this at the same time? Right. Yeah. Yeah.Jeff Dean [00:13:23]: I mean, I think, um, and once you're set, I mean, as you say that needed single needle and a half. Hey, stack benchmark is really saturated for at least context links up to 1, 2 and K or something. Don't actually have, you know, much larger than 1, 2 and 8 K these days or two or something. We're trying to push the frontier of 1 million or 2 million context, which is good because I think there are a lot of use cases where. Yeah. You know, putting a thousand pages of text or putting, you know, multiple hour long videos and the context and then actually being able to make use of that as useful. Try to, to explore the über graduation are fairly large. But the single needle in a haystack benchmark is sort of saturated. So you really want more complicated, sort of multi-needle or more realistic, take all this content and produce this kind of answer from a long context that sort of better assesses what it is people really want to do with long context. Which is not just, you know, can you tell me the product number for this particular thing?Shawn Wang [00:14:31]: Yeah, it's retrieval. It's retrieval within machine learning. It's interesting because I think the more meta level I'm trying to operate at here is you have a benchmark. You're like, okay, I see the architectural thing I need to do in order to go fix that. But should you do it? Because sometimes that's an inductive bias, basically. It's what Jason Wei, who used to work at Google, would say. Exactly the kind of thing. Yeah, you're going to win. Short term. Longer term, I don't know if that's going to scale. You might have to undo that.Jeff Dean [00:15:01]: I mean, I like to sort of not focus on exactly what solution we're going to derive, but what capability would you want? And I think we're very convinced that, you know, long context is useful, but it's way too short today. Right? Like, I think what you would really want is, can I attend to the internet while I answer my question? Right? But that's not going to happen. I think that's going to be solved by purely scaling the existing solutions, which are quadratic. So a million tokens kind of pushes what you can do. You're not going to do that to a trillion tokens, let alone, you know, a billion tokens, let alone a trillion. But I think if you could give the illusion that you can attend to trillions of tokens, that would be amazing. You'd find all kinds of uses for that. You would have attend to the internet. You could attend to the pixels of YouTube and the sort of deeper representations that we can find. You could attend to the form for a single video, but across many videos, you know, on a personal Gemini level, you could attend to all of your personal state with your permission. So like your emails, your photos, your docs, your plane tickets you have. I think that would be really, really useful. And the question is, how do you get algorithmic improvements and system level improvements that get you to something where you actually can attend to trillions of tokens? Right. In a meaningful way. Yeah.Shawn Wang [00:16:26]: But by the way, I think I did some math and it's like, if you spoke all day, every day for eight hours a day, you only generate a maximum of like a hundred K tokens, which like very comfortably fits.Jeff Dean [00:16:38]: Right. But if you then say, okay, I want to be able to understand everything people are putting on videos.Shawn Wang [00:16:46]: Well, also, I think that the classic example is you start going beyond language into like proteins and whatever else is extremely information dense. Yeah. Yeah.Jeff Dean [00:16:55]: I mean, I think one of the things about Gemini's multimodal aspects is we've always wanted it to be multimodal from the start. And so, you know, that sometimes to people means text and images and video sort of human-like and audio, audio, human-like modalities. But I think it's also really useful to have Gemini know about non-human modalities. Yeah. Like LIDAR sensor data from. Yes. Say, Waymo vehicles or. Like robots or, you know, various kinds of health modalities, x-rays and MRIs and imaging and genomics information. And I think there's probably hundreds of modalities of data where you'd like the model to be able to at least be exposed to the fact that this is an interesting modality and has certain meaning in the world. Where even if you haven't trained on all the LIDAR data or MRI data, you could have, because maybe that's not, you know, it doesn't make sense in terms of trade-offs of. You know, what you include in your main pre-training data mix, at least including a little bit of it is actually quite useful. Yeah. Because it sort of tempts the model that this is a thing.Shawn Wang [00:18:04]: Yeah. Do you believe, I mean, since we're on this topic and something I just get to ask you all the questions I always wanted to ask, which is fantastic. Like, are there some king modalities, like modalities that supersede all the other modalities? So a simple example was Vision can, on a pixel level, encode text. And DeepSeq had this DeepSeq CR paper that did that. Vision. And Vision has also been shown to maybe incorporate audio because you can do audio spectrograms and that's, that's also like a Vision capable thing. Like, so, so maybe Vision is just the king modality and like. Yeah.Jeff Dean [00:18:36]: I mean, Vision and Motion are quite important things, right? Motion. Well, like video as opposed to static images, because I mean, there's a reason evolution has evolved eyes like 23 independent ways, because it's such a useful capability for sensing the world around you, which is really what we want these models to be. So I think the only thing that we can be able to do is interpret the things we're seeing or the things we're paying attention to and then help us in using that information to do things. Yeah.Shawn Wang [00:19:05]: I think motion, you know, I still want to shout out, I think Gemini, still the only native video understanding model that's out there. So I use it for YouTube all the time. Nice.Jeff Dean [00:19:15]: Yeah. Yeah. I mean, it's actually, I think people kind of are not necessarily aware of what the Gemini models can actually do. Yeah. Like I have an example I've used in one of my talks. It had like, it was like a YouTube highlight video of 18 memorable sports moments across the last 20 years or something. So it has like Michael Jordan hitting some jump shot at the end of the finals and, you know, some soccer goals and things like that. And you can literally just give it the video and say, can you please make me a table of what all these different events are? What when the date is when they happened? And a short description. And so you get like now an 18 row table of that information extracted from the video, which is, you know, not something most people think of as like a turn video into sequel like table.Alessio Fanelli [00:20:11]: Has there been any discussion inside of Google of like, you mentioned tending to the whole internet, right? Google, it's almost built because a human cannot tend to the whole internet and you need some sort of ranking to find what you need. Yep. That ranking is like much different for an LLM because you can expect a person to look at maybe the first five, six links in a Google search versus for an LLM. Should you expect to have 20 links that are highly relevant? Like how do you internally figure out, you know, how do we build the AI mode that is like maybe like much broader search and span versus like the more human one? Yeah.Jeff Dean [00:20:47]: I mean, I think even pre-language model based work, you know, our ranking systems would be built to start. I mean, I think even pre-language model based work, you know, our ranking systems would be built to start. With a giant number of web pages in our index, many of them are not relevant. So you identify a subset of them that are relevant with very lightweight kinds of methods. You know, you're down to like 30,000 documents or something. And then you gradually refine that to apply more and more sophisticated algorithms and more and more sophisticated sort of signals of various kinds in order to get down to ultimately what you show, which is, you know, the final 10 results or, you know, 10 results plus. Other kinds of information. And I think an LLM based system is not going to be that dissimilar, right? You're going to attend to trillions of tokens, but you're going to want to identify, you know, what are the 30,000 ish documents that are with the, you know, maybe 30 million interesting tokens. And then how do you go from that into what are the 117 documents I really should be paying attention to in order to carry out the tasks that the user has asked? And I think, you know, you can imagine systems where you have, you know, a lot of highly parallel processing to identify those initial 30,000 candidates, maybe with very lightweight kinds of models. Then you have some system that sort of helps you narrow down from 30,000 to the 117 with maybe a little bit more sophisticated model or set of models. And then maybe the final model is the thing that looks. So the 117 things that might be your most capable model. So I think it has to, it's going to be some system like that, that is really enables you to give the illusion of attending to trillions of tokens. Sort of the way Google search gives you, you know, not the illusion, but you are searching the internet, but you're finding, you know, a very small subset of things that are, that are relevant.Shawn Wang [00:22:47]: Yeah. I often tell a lot of people that are not steeped in like Google search history that, well, you know, like Bert was. Like he was like basically immediately inside of Google search and that improves results a lot, right? Like I don't, I don't have any numbers off the top of my head, but like, I'm sure you guys, that's obviously the most important numbers to Google. Yeah.Jeff Dean [00:23:08]: I mean, I think going to an LLM based representation of text and words and so on enables you to get out of the explicit hard notion of, of particular words having to be on the page, but really getting at the notion of this topic of this page or this page. Paragraph is highly relevant to this query. Yeah.Shawn Wang [00:23:28]: I don't think people understand how much LLMs have taken over all these very high traffic system, very high traffic. Yeah. Like it's Google, it's YouTube. YouTube has this like semantics ID thing where it's just like every token or every item in the vocab is a YouTube video or something that predicts the video using a code book, which is absurd to me for YouTube size.Jeff Dean [00:23:50]: And then most recently GROK also for, for XAI, which is like, yeah. I mean, I'll call out even before LLMs were used extensively in search, we put a lot of emphasis on softening the notion of what the user actually entered into the query.Shawn Wang [00:24:06]: So do you have like a history of like, what's the progression? Oh yeah.Jeff Dean [00:24:09]: I mean, I actually gave a talk in, uh, I guess, uh, web search and data mining conference in 2009, uh, where we never actually published any papers about the origins of Google search, uh, sort of, but we went through sort of four or five or six. generations, four or five or six generations of, uh, redesigning of the search and retrieval system, uh, from about 1999 through 2004 or five. And that talk is really about that evolution. And one of the things that really happened in 2001 was we were sort of working to scale the system in multiple dimensions. So one is we wanted to make our index bigger, so we could retrieve from a larger index, which always helps your quality in general. Uh, because if you don't have the page in your index, you're going to not do well. Um, and then we also needed to scale our capacity because we were, our traffic was growing quite extensively. Um, and so we had, you know, a sharded system where you have more and more shards as the index grows, you have like 30 shards. And then if you want to double the index size, you make 60 shards so that you can bound the latency by which you respond for any particular user query. Um, and then as traffic grows, you add, you add more and more replicas of each of those. And so we eventually did the math that realized that in a data center where we had say 60 shards and, um, you know, 20 copies of each shard, we now had 1200 machines, uh, with disks. And we did the math and we're like, Hey, one copy of that index would actually fit in memory across 1200 machines. So in 2001, we introduced, uh, we put our entire index in memory and what that enabled from a quality perspective was amazing. Um, and so we had more and more replicas of each of those. Before you had to be really careful about, you know, how many different terms you looked at for a query, because every one of them would involve a disk seek on every one of the 60 shards. And so you, as you make your index bigger, that becomes even more inefficient. But once you have the whole index in memory, it's totally fine to have 50 terms you throw into the query from the user's original three or four word query, because now you can add synonyms like restaurant and restaurants and cafe and, uh, you know, things like that. Uh, bistro and all these things. And you can suddenly start, uh, sort of really, uh, getting at the meaning of the word as opposed to the exact semantic form the user typed in. And that was, you know, 2001, very much pre LLM, but really it was about softening the, the strict definition of what the user typed in order to get at the meaning.Alessio Fanelli [00:26:47]: What are like principles that you use to like design the systems, especially when you have, I mean, in 2001, the internet is like. Doubling, tripling every year in size is not like, uh, you know, and I think today you kind of see that with LLMs too, where like every year the jumps in size and like capabilities are just so big. Are there just any, you know, principles that you use to like, think about this? Yeah.Jeff Dean [00:27:08]: I mean, I think, uh, you know, first, whenever you're designing a system, you want to understand what are the sort of design parameters that are going to be most important in designing that, you know? So, you know, how many queries per second do you need to handle? How big is the internet? How big is the index you need to handle? How much data do you need to keep for every document in the index? How are you going to look at it when you retrieve things? Um, what happens if traffic were to double or triple, you know, will that system work well? And I think a good design principle is you're going to want to design a system so that the most important characteristics could scale by like factors of five or 10, but probably not beyond that because often what happens is if you design a system for X. And something suddenly becomes a hundred X, that would enable a very different point in the design space that would not make sense at X. But all of a sudden at a hundred X makes total sense. So like going from a disk space index to a in memory index makes a lot of sense once you have enough traffic, because now you have enough replicas of the sort of state on disk that those machines now actually can hold, uh, you know, a full copy of the, uh, index and memory. Yeah. And that all of a sudden enabled. A completely different design that wouldn't have been practical before. Yeah. Um, so I'm, I'm a big fan of thinking through designs in your head, just kind of playing with the design space a little before you actually do a lot of writing of code. But, you know, as you said, in the early days of Google, we were growing the index, uh, quite extensively. We were growing the update rate of the index. So the update rate actually is the parameter that changed the most. Surprising. So it used to be once a month.Shawn Wang [00:28:55]: Yeah.Jeff Dean [00:28:56]: And then we went to a system that could update any particular page in like sub one minute. Okay.Shawn Wang [00:29:02]: Yeah. Because this is a competitive advantage, right?Jeff Dean [00:29:04]: Because all of a sudden news related queries, you know, if you're, if you've got last month's news index, it's not actually that useful for.Shawn Wang [00:29:11]: News is a special beast. Was there any, like you could have split it onto a separate system.Jeff Dean [00:29:15]: Well, we did. We launched a Google news product, but you also want news related queries that people type into the main index to also be sort of updated.Shawn Wang [00:29:23]: So, yeah, it's interesting. And then you have to like classify whether the page is, you have to decide which pages should be updated and what frequency. Oh yeah.Jeff Dean [00:29:30]: There's a whole like, uh, system behind the scenes that's trying to decide update rates and importance of the pages. So even if the update rate seems low, you might still want to recrawl important pages quite often because, uh, the likelihood they change might be low, but the value of having updated is high.Shawn Wang [00:29:50]: Yeah, yeah, yeah, yeah. Uh, well, you know, yeah. This, uh, you know, mention of latency and, and saving things to this reminds me of one of your classics, which I have to bring up, which is latency numbers. Every programmer should know, uh, was there a, was it just a, just a general story behind that? Did you like just write it down?Jeff Dean [00:30:06]: I mean, this has like sort of eight or 10 different kinds of metrics that are like, how long does a cache mistake? How long does branch mispredict take? How long does a reference domain memory take? How long does it take to send, you know, a packet from the U S to the Netherlands or something? Um,Shawn Wang [00:30:21]: why Netherlands, by the way, or is it, is that because of Chrome?Jeff Dean [00:30:25]: Uh, we had a data center in the Netherlands, um, so, I mean, I think this gets to the point of being able to do the back of the envelope calculations. So these are sort of the raw ingredients of those, and you can use them to say, okay, well, if I need to design a system to do image search and thumb nailing or something of the result page, you know, how, what I do that I could pre-compute the image thumbnails. I could like. Try to thumbnail them on the fly from the larger images. What would that do? How much dis bandwidth than I need? How many des seeks would I do? Um, and you can sort of actually do thought experiments in, you know, 30 seconds or a minute with the sort of, uh, basic, uh, basic numbers at your fingertips. Uh, and then as you sort of build software using higher level libraries, you kind of want to develop the same intuitions for how long does it take to, you know, look up something in this particular kind of.Shawn Wang [00:31:21]: I'll see you next time.Shawn Wang [00:31:51]: Which is a simple byte conversion. That's nothing interesting. I wonder if you have any, if you were to update your...Jeff Dean [00:31:58]: I mean, I think it's really good to think about calculations you're doing in a model, either for training or inference.Jeff Dean [00:32:09]: Often a good way to view that is how much state will you need to bring in from memory, either like on-chip SRAM or HBM from the accelerator. Attached memory or DRAM or over the network. And then how expensive is that data motion relative to the cost of, say, an actual multiply in the matrix multiply unit? And that cost is actually really, really low, right? Because it's order, depending on your precision, I think it's like sub one picodule.Shawn Wang [00:32:50]: Oh, okay. You measure it by energy. Yeah. Yeah.Jeff Dean [00:32:52]: Yeah. I mean, it's all going to be about energy and how do you make the most energy efficient system. And then moving data from the SRAM on the other side of the chip, not even off the off chip, but on the other side of the same chip can be, you know, a thousand picodules. Oh, yeah. And so all of a sudden, this is why your accelerators require batching. Because if you move, like, say, the parameter of a model from SRAM on the, on the chip into the multiplier unit, that's going to cost you a thousand picodules. So you better make use of that, that thing that you moved many, many times with. So that's where the batch dimension comes in. Because all of a sudden, you know, if you have a batch of 256 or something, that's not so bad. But if you have a batch of one, that's really not good.Shawn Wang [00:33:40]: Yeah. Yeah. Right.Jeff Dean [00:33:41]: Because then you paid a thousand picodules in order to do your one picodule multiply.Shawn Wang [00:33:46]: I have never heard an energy-based analysis of batching.Jeff Dean [00:33:50]: Yeah. I mean, that's why people batch. Yeah. Ideally, you'd like to use batch size one because the latency would be great.Shawn Wang [00:33:56]: The best latency.Jeff Dean [00:33:56]: But the energy cost and the compute cost inefficiency that you get is quite large. So, yeah.Shawn Wang [00:34:04]: Is there a similar trick like, like, like you did with, you know, putting everything in memory? Like, you know, I think obviously NVIDIA has caused a lot of waves with betting very hard on SRAM with Grok. I wonder if, like, that's something that you already saw with, with the TPUs, right? Like that, that you had to. Uh, to serve at your scale, uh, you probably sort of saw that coming. Like what, what, what hardware, uh, innovations or insights were formed because of what you're seeing there?Jeff Dean [00:34:33]: Yeah. I mean, I think, you know, TPUs have this nice, uh, sort of regular structure of 2D or 3D meshes with a bunch of chips connected. Yeah. And each one of those has HBM attached. Um, I think for serving some kinds of models, uh, you know, you, you pay a lot higher cost. Uh, and time latency, um, bringing things in from HBM than you do bringing them in from, uh, SRAM on the chip. So if you have a small enough model, you can actually do model parallelism, spread it out over lots of chips and you actually get quite good throughput improvements and latency improvements from doing that. And so you're now sort of striping your smallish scale model over say 16 or 64 chips. Uh, but as if you do that and it all fits in. In SRAM, uh, that can be a big win. So yeah, that's not a surprise, but it is a good technique.Alessio Fanelli [00:35:27]: Yeah. What about the TPU design? Like how much do you decide where the improvements have to go? So like, this is like a good example of like, is there a way to bring the thousand picojoules down to 50? Like, is it worth designing a new chip to do that? The extreme is like when people say, oh, you should burn the model on the ASIC and that's kind of like the most extreme thing. How much of it? Is it worth doing an hardware when things change so quickly? Like what was the internal discussion? Yeah.Jeff Dean [00:35:57]: I mean, we, we have a lot of interaction between say the TPU chip design architecture team and the sort of higher level modeling, uh, experts, because you really want to take advantage of being able to co-design what should future TPUs look like based on where we think the sort of ML research puck is going, uh, in some sense, because, uh, you know, as a hardware designer for ML and in particular, you're trying to design a chip starting today and that design might take two years before it even lands in a data center. And then it has to sort of be a reasonable lifetime of the chip to take you three, four or five years. So you're trying to predict two to six years out where, what ML computations will people want to run two to six years out in a very fast changing field. And so having people with interest. Interesting ML research ideas of things we think will start to work in that timeframe or will be more important in that timeframe, uh, really enables us to then get, you know, interesting hardware features put into, you know, TPU N plus two, where TPU N is what we have today.Shawn Wang [00:37:10]: Oh, the cycle time is plus two.Jeff Dean [00:37:12]: Roughly. Wow. Because, uh, I mean, sometimes you can squeeze some changes into N plus one, but, you know, bigger changes are going to require the chip. Yeah. Design be earlier in its lifetime design process. Um, so whenever we can do that, it's generally good. And sometimes you can put in speculative features that maybe won't cost you much chip area, but if it works out, it would make something, you know, 10 times as fast. And if it doesn't work out, well, you burned a little bit of tiny amount of your chip area on that thing, but it's not that big a deal. Uh, sometimes it's a very big change and we want to be pretty sure this is going to work out. So we'll do like lots of carefulness. Uh, ML experimentation to show us, uh, this is actually the, the way we want to go. Yeah.Alessio Fanelli [00:37:58]: Is there a reverse of like, we already committed to this chip design so we can not take the model architecture that way because it doesn't quite fit?Jeff Dean [00:38:06]: Yeah. I mean, you, you definitely have things where you're going to adapt what the model architecture looks like so that they're efficient on the chips that you're going to have for both training and inference of that, of that, uh, generation of model. So I think it kind of goes both ways. Um, you know, sometimes you can take advantage of, you know, lower precision things that are coming in a future generation. So you can, might train it at that lower precision, even if the current generation doesn't quite do that. Mm.Shawn Wang [00:38:40]: Yeah. How low can we go in precision?Jeff Dean [00:38:43]: Because people are saying like ternary is like, uh, yeah, I mean, I'm a big fan of very low precision because I think that gets, that saves you a tremendous amount of time. Right. Because it's picojoules per bit that you're transferring and reducing the number of bits is a really good way to, to reduce that. Um, you know, I think people have gotten a lot of luck, uh, mileage out of having very low bit precision things, but then having scaling factors that apply to a whole bunch of, uh, those, those weights. Scaling. How does it, how does it, okay.Shawn Wang [00:39:15]: Interesting. You, so low, low precision, but scaled up weights. Yeah. Huh. Yeah. Never considered that. Yeah. Interesting. Uh, w w while we're on this topic, you know, I think there's a lot of, um, uh, this, the concept of precision at all is weird when we're sampling, you know, uh, we just, at the end of this, we're going to have all these like chips that I'll do like very good math. And then we're just going to throw a random number generator at the start. So, I mean, there's a movement towards, uh, energy based, uh, models and processors. I'm just curious if you've, obviously you've thought about it, but like, what's your commentary?Jeff Dean [00:39:50]: Yeah. I mean, I think. There's a bunch of interesting trends though. Energy based models is one, you know, diffusion based models, which don't sort of sequentially decode tokens is another, um, you know, speculative decoding is a way that you can get sort of an equivalent, very small.Shawn Wang [00:40:06]: Draft.Jeff Dean [00:40:07]: Batch factor, uh, for like you predict eight tokens out and that enables you to sort of increase the effective batch size of what you're doing by a factor of eight, even, and then you maybe accept five or six of those tokens. So you get. A five, a five X improvement in the amortization of moving weights, uh, into the multipliers to do the prediction for the, the tokens. So these are all really good techniques and I think it's really good to look at them from the lens of, uh, energy, real energy, not energy based models, um, and, and also latency and throughput, right? If you look at things from that lens, that sort of guides you to. Two solutions that are gonna be, uh, you know, better from, uh, you know, being able to serve larger models or, you know, equivalent size models more cheaply and with lower latency.Shawn Wang [00:41:03]: Yeah. Well, I think, I think I, um, it's appealing intellectually, uh, haven't seen it like really hit the mainstream, but, um, I do think that, uh, there's some poetry in the sense that, uh, you know, we don't have to do, uh, a lot of shenanigans if like we fundamentally. Design it into the hardware. Yeah, yeah.Jeff Dean [00:41:23]: I mean, I think there's still a, there's also sort of the more exotic things like analog based, uh, uh, computing substrates as opposed to digital ones. Uh, I'm, you know, I think those are super interesting cause they can be potentially low power. Uh, but I think you often end up wanting to interface that with digital systems and you end up losing a lot of the power advantages in the digital to analog and analog to digital conversions. You end up doing, uh, at the sort of boundaries. And periphery of that system. Um, I still think there's a tremendous distance we can go from where we are today in terms of energy efficiency with sort of, uh, much better and specialized hardware for the models we care about.Shawn Wang [00:42:05]: Yeah.Alessio Fanelli [00:42:06]: Um, any other interesting research ideas that you've seen, or like maybe things that you cannot pursue a Google that you would be interested in seeing researchers take a step at, I guess you have a lot of researchers. Yeah, I guess you have enough, but our, our research.Jeff Dean [00:42:21]: Our research portfolio is pretty broad. I would say, um, I mean, I think, uh, in terms of research directions, there's a whole bunch of, uh, you know, open problems and how do you make these models reliable and able to do much longer, kind of, uh, more complex tasks that have lots of subtasks. How do you orchestrate, you know, maybe one model that's using other models as tools in order to sort of build, uh, things that can accomplish, uh, you know, much more. Yeah. Significant pieces of work, uh, collectively, then you would ask a single model to do. Um, so that's super interesting. How do you get more verifiable, uh, you know, how do you get RL to work for non-verifiable domains? I think it's a pretty interesting open problem because I think that would broaden out the capabilities of the models, the improvements that you're seeing in both math and coding. Uh, if we could apply those to other less verifiable domains, because we've come up with RL techniques that actually enable us to do that. Uh, effectively, that would, that would really make the models improve quite a lot. I think.Alessio Fanelli [00:43:26]: I'm curious, like when we had Noam Brown on the podcast, he said, um, they already proved you can do it with deep research. Um, you kind of have it with AI mode in a way it's not verifiable. I'm curious if there's any thread that you think is interesting there. Like what is it? Both are like information retrieval of JSON. So I wonder if it's like the retrieval is like the verifiable part. That you can score or what are like, yeah, yeah. How, how would you model that, that problem?Jeff Dean [00:43:55]: Yeah. I mean, I think there are ways of having other models that can evaluate the results of what a first model did, maybe even retrieving. Can you have another model that says, is this things, are these things you retrieved relevant? Or can you rate these 2000 things you retrieved to assess which ones are the 50 most relevant or something? Um, I think those kinds of techniques are actually quite effective. Sometimes I can even be the same model, just prompted differently to be a, you know, a critic as opposed to a, uh, actual retrieval system. Yeah.Shawn Wang [00:44:28]: Um, I do think like there, there is that, that weird cliff where like, it feels like we've done the easy stuff and then now it's, but it always feels like that every year. It's like, oh, like we know, we know, and the next part is super hard and nobody's figured it out. And, uh, exactly with this RLVR thing where like everyone's talking about, well, okay, how do we. the next stage of the non-verifiable stuff. And everyone's like, I don't know, you know, Ellen judge.Jeff Dean [00:44:56]: I mean, I feel like the nice thing about this field is there's lots and lots of smart people thinking about creative solutions to some of the problems that we all see. Uh, because I think everyone sort of sees that the models, you know, are great at some things and they fall down around the edges of those things and, and are not as capable as we'd like in those areas. And then coming up with good techniques and trying those. And seeing which ones actually make a difference is sort of what the whole research aspect of this field is, is pushing forward. And I think that's why it's super interesting. You know, if you think about two years ago, we were struggling with GSM, eight K problems, right? Like, you know, Fred has two rabbits. He gets three more rabbits. How many rabbits does he have? That's a pretty far cry from the kinds of mathematics that the models can, and now you're doing IMO and Erdos problems in pure language. Yeah. Yeah. Pure language. So that is a really, really amazing jump in capabilities in, you know, in a year and a half or something. And I think, um, for other areas, it'd be great if we could make that kind of leap. Uh, and you know, we don't exactly see how to do it for some, some areas, but we do see it for some other areas and we're going to work hard on making that better. Yeah.Shawn Wang [00:46:13]: Yeah.Alessio Fanelli [00:46:14]: Like YouTube thumbnail generation. That would be very helpful. We need that. That would be AGI. We need that.Shawn Wang [00:46:20]: That would be. As far as content creators go.Jeff Dean [00:46:22]: I guess I'm not a YouTube creator, so I don't care that much about that problem, but I guess, uh, many people do.Shawn Wang [00:46:27]: It does. Yeah. It doesn't, it doesn't matter. People do judge books by their covers as it turns out. Um, uh, just to draw a bit on the IMO goal. Um, I'm still not over the fact that a year ago we had alpha proof and alpha geometry and all those things. And then this year we were like, screw that we'll just chuck it into Gemini. Yeah. What's your reflection? Like, I think this, this question about. Like the merger of like symbolic systems and like, and, and LMS, uh, was a very much core belief. And then somewhere along the line, people would just said, Nope, we'll just all do it in the LLM.Jeff Dean [00:47:02]: Yeah. I mean, I think it makes a lot of sense to me because, you know, humans manipulate symbols, but we probably don't have like a symbolic representation in our heads. Right. We have some distributed representation that is neural net, like in some way of lots of different neurons. And activation patterns firing when we see certain things and that enables us to reason and plan and, you know, do chains of thought and, you know, roll them back now that, that approach for solving the problem doesn't seem like it's going to work. I'm going to try this one. And, you know, in a lot of ways we're emulating what we intuitively think, uh, is happening inside real brains in neural net based models. So it never made sense to me to have like completely separate. Uh, discrete, uh, symbolic things, and then a completely different way of, of, uh, you know, thinking about those things.Shawn Wang [00:47:59]: Interesting. Yeah. Uh, I mean, it's maybe seems obvious to you, but it wasn't obvious to me a year ago. Yeah.Jeff Dean [00:48:06]: I mean, I do think like that IMO with, you know, translating to lean and using lean and then the next year and also a specialized geometry model. And then this year switching to a single unified model. That is roughly the production model with a little bit more inference budget, uh, is actually, you know, quite good because it shows you that the capabilities of that general model have improved dramatically and, and now you don't need the specialized model. This is actually sort of very similar to the 2013 to 16 era of machine learning, right? Like it used to be, people would train separate models for lots of different, each different problem, right? I have, I want to recognize street signs and something. So I train a street sign. Recognition recognition model, or I want to, you know, decode speech recognition. I have a speech model, right? I think now the era of unified models that do everything is really upon us. And the question is how well do those models generalize to new things they've never been asked to do and they're getting better and better.Shawn Wang [00:49:10]: And you don't need domain experts. Like one of my, uh, so I interviewed ETA who was on, who was on that team. Uh, and he was like, yeah, I, I don't know how they work. I don't know where the IMO competition was held. I don't know the rules of it. I just trained the models, the training models. Yeah. Yeah. And it's kind of interesting that like people with these, this like universal skill set of just like machine learning, you just give them data and give them enough compute and they can kind of tackle any task, which is the bitter lesson, I guess. I don't know. Yeah.Jeff Dean [00:49:39]: I mean, I think, uh, general models, uh, will win out over specialized ones in most cases.Shawn Wang [00:49:45]: Uh, so I want to push there a bit. I think there's one hole here, which is like, uh. There's this concept of like, uh, maybe capacity of a model, like abstractly a model can only contain the number of bits that it has. And, uh, and so it, you know, God knows like Gemini pro is like one to 10 trillion parameters. We don't know, but, uh, the Gemma models, for example, right? Like a lot of people want like the open source local models that are like that, that, that, and, and, uh, they have some knowledge, which is not necessary, right? Like they can't know everything like, like you have the. The luxury of you have the big model and big model should be able to capable of everything. But like when, when you're distilling and you're going down to the small models, you know, you're actually memorizing things that are not useful. Yeah. And so like, how do we, I guess, do we want to extract that? Can we, can we divorce knowledge from reasoning, you know?Jeff Dean [00:50:38]: Yeah. I mean, I think you do want the model to be most effective at reasoning if it can retrieve things, right? Because having the model devote precious parameter space. To remembering obscure facts that could be looked up is actually not the best use of that parameter space, right? Like you might prefer something that is more generally useful in more settings than this obscure fact that it has. Um, so I think that's always attention at the same time. You also don't want your model to be kind of completely detached from, you know, knowing stuff about the world, right? Like it's probably useful to know how long the golden gate be. Bridges just as a general sense of like how long are bridges, right? And, uh, it should have that kind of knowledge. It maybe doesn't need to know how long some teeny little bridge in some other more obscure part of the world is, but, uh, it does help it to have a fair bit of world knowledge and the bigger your model is, the more you can have. Uh, but I do think combining retrieval with sort of reasoning and making the model really good at doing multiple stages of retrieval. Yeah.Shawn Wang [00:51:49]: And reasoning through the intermediate retrieval results is going to be a, a pretty effective way of making the model seem much more capable, because if you think about, say, a personal Gemini, yeah, right?Jeff Dean [00:52:01]: Like we're not going to train Gemini on my email. Probably we'd rather have a single model that, uh, we can then use and use being able to retrieve from my email as a tool and have the model reason about it and retrieve from my photos or whatever, uh, and then make use of that and have multiple. Um, you know, uh, stages of interaction. that makes sense.Alessio Fanelli [00:52:24]: Do you think the vertical models are like, uh, interesting pursuit? Like when people are like, oh, we're building the best healthcare LLM, we're building the best law LLM, are those kind of like short-term stopgaps or?Jeff Dean [00:52:37]: No, I mean, I think, I think vertical models are interesting. Like you want them to start from a pretty good base model, but then you can sort of, uh, sort of viewing them, view them as enriching the data. Data distribution for that particular vertical domain for healthcare, say, um, we're probably not going to train or for say robotics. We're probably not going to train Gemini on all possible robotics data. We, you could train it on because we want it to have a balanced set of capabilities. Um, so we'll expose it to some robotics data, but if you're trying to build a really, really good robotics model, you're going to want to start with that and then train it on more robotics data. And then maybe that would. It's multilingual translation capability, but improve its robotics capabilities. And we're always making these kind of, uh, you know, trade-offs in the data mix that we train the base Gemini models on. You know, we'd love to include data from 200 more languages and as much data as we have for those languages, but that's going to displace some other capabilities of the model. It won't be as good at, um, you know, Pearl programming, you know, it'll still be good at Python programming. Cause we'll include it. Enough. Of that, but there's other long tail computer languages or coding capabilities that it may suffer on or multi, uh, multimodal reasoning capabilities may suffer. Cause we didn't get to expose it to as much data there, but it's really good at multilingual things. So I, I think some combination of specialized models, maybe more modular models. So it'd be nice to have the capability to have those 200 languages, plus this awesome robotics model, plus this awesome healthcare, uh, module that all can be knitted together to work in concert and called upon in different circumstances. Right? Like if I have a health related thing, then it should enable using this health module in conjunction with the main base model to be even better at those kinds of things. Yeah.Shawn Wang [00:54:36]: Installable knowledge. Yeah.Jeff Dean [00:54:37]: Right.Shawn Wang [00:54:38]: Just download as a, as a package.Jeff Dean [00:54:39]: And some of that installable stuff can come from retrieval, but some of it probably should come from preloaded training on, you know, uh, a hundred billion tokens or a trillion tokens of health data. Yeah.Shawn Wang [00:54:51]: And for listeners, I think, uh, I will highlight the Gemma three end paper where they, there was a little bit of that, I think. Yeah.Alessio Fanelli [00:54:56]: Yeah. I guess the question is like, how many billions of tokens do you need to outpace the frontier model improvements? You know, it's like, if I have to make this model better healthcare and the main. Gemini model is still improving. Do I need 50 billion tokens? Can I do it with a hundred, if I need a trillion healthcare tokens, it's like, they're probably not out there that you don't have, you know, I think that's really like the.Jeff Dean [00:55:21]: Well, I mean, I think healthcare is a particularly challenging domain, so there's a lot of healthcare data that, you know, we don't have access to appropriately, but there's a lot of, you know, uh, healthcare organizations that want to train models on their own data. That is not public healthcare data, uh, not public health. But public healthcare data. Um, so I think there are opportunities there to say, partner with a large healthcare organization and train models for their use that are going to be, you know, more bespoke, but probably, uh, might be better than a general model trained on say, public data. Yeah.Shawn Wang [00:55:58]: Yeah. I, I believe, uh, by the way, also this is like somewhat related to the language conversation. Uh, I think one of your, your favorite examples was you can put a low resource language in the context and it just learns. Yeah.Jeff Dean [00:56:09]: Oh, yeah, I think the example we used was Calamon, which is truly low resource because it's only spoken by, I think 120 people in the world and there's no written text.Shawn Wang [00:56:20]: So, yeah. So you can just do it that way. Just put it in the context. Yeah. Yeah. But I think your whole data set in the context, right.Jeff Dean [00:56:27]: If you, if you take a language like, uh, you know, Somali or something, there is a fair bit of Somali text in the world that, uh, or Ethiopian Amharic or something, um, you know, we probably. Yeah. Are not putting all the data from those languages into the Gemini based training. We put some of it, but if you put more of it, you'll improve the capabilities of those models.Shawn Wang [00:56:49]: Yeah.Jeff Dean [00:56:49]:

After years of ignoring and maligning Windows, Microsoft has finally woken up and is making some happy noises. Last week, we discussed how Microsoft plans to improve the quality of Windows and that there are already many signs of that work in various security features and new OneDrive Folder Backup changes - plus those two new direct reports to Nadella. Then, Microsoft announced its Windows Baseline Security Mode and User Transparency and Consent initiatives with questions about the timing. And now, Microsoft just explained Windows 11 version 26H1, and it's not like 24H2 at all despite being tied to Snapdragon X2 silicon.Something happened ... and that something is tied to 26H1 26H1: Only for Snapdragon X2, a "scoped release," based on a "different core" from 24H2 and 25H2 You cannot upgrade 24H2 or 25H2 to 26H1 You cannot upgrade 26H1 to 26H2 (!) - instead, those on 26H1 "will have a path to update in a future Windows release." - Is that future Windows release Windows 12? Probably 24H2, 25H2, and 26H1 will all have the same user-facing features, this has been the case with all support Windows (11) versions for 2+ years (Remember, this is not what happened with 24H2. Shipped early on Snapdragon X1, but was made available to all Windows 11 PCs later that year) So why is this happening now? Fortune 500/corporate customer pushback on AI is one guess This is GOOD news, however it all unfolds More Windows 11 Yesterday was Patch Tuesday, so get to work. Updates this month include: Agent in Settings (Copilot+ PCs only) improvements. Settings improvements, cross-device Resume improvements, Windows MIDI Services improvements, Narrator improvements, Smart App Control improvements, Windows Hello New ESS improvements, and File Explorer improvements Somewhat related to the quality/security push noted above, Microsoft is rolling out new Secure Boot certificates this year for older (pre-2024/25) PCs Microsoft announces a Store CLI that does (almost) nothing new compared to winget New Dev and Beta builds with minor changes: Emoji 16.0, camera improvements, various fixes More earnings Amazon hits $213.4 billion in revenues, will spend $200 billion CAPEX/AI infrastructure this fiscal year, more than Google ($175/$185 billion) or Microsoft (estimated $150+ billion) Qualcomm $12.25 billion in revenues, up 5 percent Alphabet/Google - Up 18 percent (!) to $113.8 billion - 750 million MAUs on Gemini, 74 percent of revenues come from advertising Spotify - somehow has over 750 million MAUs now AI and dev OpenAI and Anthropic release dueling agentic AI coding models that do more than agentic AI coding within minutes of each other Ads appear in ChatGPT Free and Go as threatened Duck.ai adds private, anonymous real-time AI voice chat NET 11 Preview 1 arrives, but there's nothing major here Xbox & games Microsoft announces the 2025 Xbox Excellence Awards Celebrate 35 years of Id Software - Castle Wolfenstein 3D was a wake-up call for PC gaming, but DOOM was a miracle, and Quake was a real WTF moment Sony sold 8 million PlayStation 5s (down 16 percent YOY) in the holiday quarter, 92 million (!) overall Valve predictably delays the vaporware Steam Machine Epic Games is having a winter sale - for example, Silent Hill 2, GTA V Enhanced are 50 percentR These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/970 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: threatlocker.com/twit helixsleep.com/windows trustedtech.team/windowsweekly365 cachefly.com/twit

After years of ignoring and maligning Windows, Microsoft has finally woken up and is making some happy noises. Last week, we discussed how Microsoft plans to improve the quality of Windows and that there are already many signs of that work in various security features and new OneDrive Folder Backup changes - plus those two new direct reports to Nadella. Then, Microsoft announced its Windows Baseline Security Mode and User Transparency and Consent initiatives with questions about the timing. And now, Microsoft just explained Windows 11 version 26H1, and it's not like 24H2 at all despite being tied to Snapdragon X2 silicon.Something happened ... and that something is tied to 26H1 26H1: Only for Snapdragon X2, a "scoped release," based on a "different core" from 24H2 and 25H2 You cannot upgrade 24H2 or 25H2 to 26H1 You cannot upgrade 26H1 to 26H2 (!) - instead, those on 26H1 "will have a path to update in a future Windows release." - Is that future Windows release Windows 12? Probably 24H2, 25H2, and 26H1 will all have the same user-facing features, this has been the case with all support Windows (11) versions for 2+ years (Remember, this is not what happened with 24H2. Shipped early on Snapdragon X1, but was made available to all Windows 11 PCs later that year) So why is this happening now? Fortune 500/corporate customer pushback on AI is one guess This is GOOD news, however it all unfolds More Windows 11 Yesterday was Patch Tuesday, so get to work. Updates this month include: Agent in Settings (Copilot+ PCs only) improvements. Settings improvements, cross-device Resume improvements, Windows MIDI Services improvements, Narrator improvements, Smart App Control improvements, Windows Hello New ESS improvements, and File Explorer improvements Somewhat related to the quality/security push noted above, Microsoft is rolling out new Secure Boot certificates this year for older (pre-2024/25) PCs Microsoft announces a Store CLI that does (almost) nothing new compared to winget New Dev and Beta builds with minor changes: Emoji 16.0, camera improvements, various fixes More earnings Amazon hits $213.4 billion in revenues, will spend $200 billion CAPEX/AI infrastructure this fiscal year, more than Google ($175/$185 billion) or Microsoft (estimated $150+ billion) Qualcomm $12.25 billion in revenues, up 5 percent Alphabet/Google - Up 18 percent (!) to $113.8 billion - 750 million MAUs on Gemini, 74 percent of revenues come from advertising Spotify - somehow has over 750 million MAUs now AI and dev OpenAI and Anthropic release dueling agentic AI coding models that do more than agentic AI coding within minutes of each other Ads appear in ChatGPT Free and Go as threatened Duck.ai adds private, anonymous real-time AI voice chat NET 11 Preview 1 arrives, but there's nothing major here Xbox & games Microsoft announces the 2025 Xbox Excellence Awards Celebrate 35 years of Id Software - Castle Wolfenstein 3D was a wake-up call for PC gaming, but DOOM was a miracle, and Quake was a real WTF moment Sony sold 8 million PlayStation 5s (down 16 percent YOY) in the holiday quarter, 92 million (!) overall Valve predictably delays the vaporware Steam Machine Epic Games is having a winter sale - for example, Silent Hill 2, GTA V Enhanced are 50 percentR These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/970 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: threatlocker.com/twit helixsleep.com/windows trustedtech.team/windowsweekly365 cachefly.com/twit

SPONSORS: - Check out the new show from Ian Fidance "IAN DO: AN ODD GUY DOIN ODD JOBS" new episodes every other Tuesday! https://youtube.com/@IanFidanceComedy - Visit https://BlueChew.com to get 10% off your first month! - Go to https://Quince.com/mom for free shipping on your order and 365-day returns. - Go to http://helixsleep.com/YMH for 27% Off Sitewide. - New Customers Bet $5 Get $300 in Bonus Bets If Your Bet Wins. The Crown Is Yours! Sign up using https://dkng.co/mom or through my promo code MOM. #DKPartner This week on Your Mom's House, Christina P welcomes comedian and Skankfest co-founder Luis J. Gomez for an absolutely unhinged episode with some heart. This episode has it all, Skankfest stories, public defecation, cartel scam calls, jailhouse etiquette, roommate revenge, Norm's poutine fries, and members of the marginalized community doing what they do best. Luis shares how Skankfest grew from a small idea into one of the most unique comedy festivals in the country, including what sets the audience apart and why their fans are the most respectful degenerates you'll ever meet. The episode also takes a turn into real-world experiences as Luis talks about run-ins with the law, what it's actually like spending a night in jail, and how people learn the unspoken rules of that environment quickly. He also tells a memorable story about a former roommate that escalated far beyond a normal disagreement and Christina unleashes her curations onto her new homie, Luis. See you on the goth cruise! Your Mom's House Ep. 846 https://tomsegura.com/tour https://christinap.com/ https://store.ymhstudios.com https://www.reddit.com/r/yourmomshousepodcast GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit http://gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit http://ccpg.org (CT), or visit http://www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Token expires 2/1/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: http://sportsbook.draftkings.com/promos. Ends 1/25/26 at 11:59 PM ET. Sponsored by DK. Chapters 00:00:00 - Intro 00:00:43 - Skankfest, Defecation, & Poutine Fries 00:06:40 - Opening Clip: 50 Single & Horny 00:15:38 - Catching Charges 00:24:45 - Locked Up 00:31:34 - Clip: Bald Date Prep 00:35:42 - Clip: Diaper Reveal 00:40:28 - Clip: Lakefront Property 00:43:33 - Clip: Common Area Argument 00:50:07 - Skankfest Stories 00:55:53 - Openly Freaky 01:04:34 - TikToks 01:20:18 - Wrap Up 01:21:38 - Closing Song - "Pegged (OMG)" by Odd-Track Numbers Learn more about your ad choices. Visit megaphone.fm/adchoices

When the world became "filled with violence," God sent a Flood. Was it a fit of divine anger, or a desperate act of love to save future generations from a world without hope? Discover why Noah's Ark is the ultimate symbol of the Atonement. Summary: In this episode, we dive into the deep waters of Genesis 6–11. We move past the Sunday School "flannel board" version of Noah to find a profound story of covenants, agency, and second chances. The Problem of Wickedness: We explore why the earth was "corrupt" and how the Flood served as a necessary "reset" to allow God's children a fair chance at life. Building the Ark: Noah was commanded to build a "tebah" (box or chest), a word used only one other time in the Bible—for Moses' basket. We discuss how we can build our own spiritual arks today. The Second Creation: We analyze the parallels between the Flood and the original Creation, seeing the earth emerge from the water as a new beginning. The Token of the Covenant: The rainbow wasn't just a pretty sign; it was a "token" of an everlasting covenant between God and Enoch's posterity. The Tower of Babel: We contrast Noah's altar with Nimrod's tower—showing the difference between building toward heaven God's way versus trying to "make a name for ourselves". Call-to-Action: What are the "thorns and thistles" in your life that God is trying to wash away through a fresh start? Share your thoughts on "new beginnings" in the comments! If you want to keep your faith "Unshaken" through life's storms, please like, subscribe, and hit the notification bell. Chapter Timestamps: 0:00 Welcome 2:10 3 Falls & 3 Floods 6:31 Marriage Outside the Covenant 10:10 Refusing to Hearken 12:05 Ignoring Consequences 15:43 Violence & Corruption 21:58 Caught Up or Held Back 27:07 Noah's Character & Commission 37:35 Flood & Famine 40:09 A Merciful Flood 54:07 The Ark 1:06:51 Gopher Wood & Pitch 1:14:17 A New Creation 1:20:06 The Rainbow 1:30:33 Wickedness Resumes 1:32:02 Animals' Fear of Man 1:37:24 Noah, Ham, & the Curse of Canaan 1:52:46 The Tower of Babel 2:04:09 Conclusion

How should employees, contractors, and companies think about token compensation? What are the legal, tax, and governance risks?Jessica Furr is a lawyer focused on crypto compensation, governance, and market structure, and the author of Read the Fine Print on Token Compensation. Brandon Ferrick is a crypto and securities lawyer who advises companies on token incentive plans, equity compensation, and regulatory compliance.Timestamps: ➡️ 1:28 — Why tokens are not equity (and why people assume they are)➡️ 3:32 — Why token compensation exists alongside equity➡️ 6:39 — What documents to look for in a token comp arrangement➡️ 9:24 — Are tokens securities? How lawyers actually approach classification➡️ 11:57 — Restricted Token Awards (RTAs) vs. Restricted Token Units (RTUs)➡️ 13:28 — How tax treatment drives RTA vs. RTU decisions➡️ 16:49 — What an 83(b) election is and why it matters for tokens➡️ 21:16 — What employees should negotiate and clarify upfront➡️ 25:45 — Emerging trends in token compensation structures➡️ 28:28 — Where token compensation could go nextSponsor: This episode is brought to you by the Decentralization Research Center (DRC), a nonprofit think tank advocating for decentralization in emerging technologies. Learn more at thedrcenter.org.Resources:

TIMESTAMPS: 00:00:18 WELCOME BACK 00:04:24 TRADES 00:04:31 JAMES HARDEN 00:13:43 UTAH STORIES 00:19:23 VUC TO BOSTON 00:24:01 AD TO WASHINGTON 00:38:29 MCCAIN TO PHILA 00:47:05 MODERN NBA 00:57:41 BIG GAME 00:58:38 JWILL HAS BEEF 01:15:51 LINDSEY VONN 01:21:23 ASG CONTESTS 01:25:08 JA MORANT 01:28:45 MVP 01:31:52 USA VS WORLD ADS: -- DraftKings: GAMBLING PROBLEM? Call 1-800-GAMBLER or 1-800-522-4700, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT. Eligibility restrictions apply. Terms: draftkings.com/sportsbook. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. Opt-in req. 1 Token per customer, valid only for min. $5 pregame NBA player prop bets w/ min. odds of -200 or longer. Tokens are single-use and expire at the start of the final of NBA game each day when offered. Must select token BEFORE placing bet. Customers who place bet w/ Token and pick day's PRA stat leader will receive equal share of $1,000,000, issued as a non-withdrawable Bonus Bet that expires in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Sponsored by DK. -- Gametime: Download the Gametime app and use code HOOPIN for $20 off your first purchase. -- DraftKings: GAMBLING PROBLEM? Call 1-800-GAMBLER or 1-800-522-4700, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK.You can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/patbevpod

On Episode 619 of Spittin' Chiclets, The guys are joined by Chris Pronger to talk about the upcoming Olympics, lots of fun stories and much more. But first, the Big Game comes to a close and it might have just been the worst one for Patriots fans. This is an episode you won't want to miss. 00:00:00 - START 00:00:31 - The Big Game 00:32:32 - Battle of Florida 00:39:12 - Pittsburgh Penguins 00:45:56 - Seth Jarvis Friends 00:50:08 - Olympics 00:56:24 - Chris Pronger Interview 02:43:47 - ETC. Support the Show: PINK WHITNEY: Take Your Shot with Pink Whitney PEPSI: Let Your Taste Decide. Take the Pepsi Challenge BODYARMOR: Work hard and hydrate hard with BODYARMOR Flash I.V. Grab it at 7-Eleven RHOBACK: Use the code CHICLETS on https://Rhoback.com for 20% off your first purchase through the end of this week DRAFTKINGS: GAMBLING PROBLEM? Call 1-800-GAMBLER or 1-800-522-4700, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY).  Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK.You can find every episode of this show on Apple Podcasts, Spotify or Netflix. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/schiclets

This week on Million Dollaz Worth of Game, Gillie and Wallo head to San Francisco for Super Bowl Week and link up with MMA legend Quinton "Rampage" Jackson for an unforgettable episode full of GAME. Rampage opens up about his legendary MMA career, growing up around the wrong influences, and how he successfully pivoted into becoming one of the biggest streamers in the world. Wallo puts Rampage to the test by teaching him Jail-Jitsu & Lo Quan Do, while Gillie drops some real father-to-father advice you don't want to miss. We close the episode with an epic arm-wrestling match that you've gotta see to believe. This one is packed with motivation, comedy, and wisdom — classic MDWOG energy. Tap in and get some GAME.

0:00 Intro 3:00 Duke-UNC 6:00 Michigan St-Illinois 12:00 St. Johns-UConn 20:00 Season Recap Mark Titus and Co. talking hoops… mostly. Thanks to our sponsors: DraftKings: GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Token expires 2/1/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 1/25/26 at 11:59 PM ET. Sponsored by DK. Subscribe to Mostly Sports on YouTube: https://www.youtube.com/@MostlySportsTitusandWalker?sub_confirmation=1. Follow Mostly Sports on Twitter: https://twitter.com/MostlySports Follow Mark on Twitter: https://twitter.com/clubtrillion Follow Tate on Twitter: https://x.com/BarstoolTate Follow Dana on Twitter https://x.com/danabeers Follow WBR on Twitter: https://x.com/W_B_Rick Follow Mostly Hoops on Instagram: https://www.instagram.com/mostlyhoopsshow/ Follow Mostly Sports on Instagram: https://www.instagram.com/mostlysportsshow/ Follow Mark on Instagram: https://www.instagram.com/marktheshark34/ Follow Tate on Instagram: https://www.instagram.com/barstool_tate/ Follow Dana on Instagram: https://www.instagram.com/danabeers/ Follow Mostly Hoops on Tiktok: https://www.tiktok.com/@mostlyhoopsshow Follow Mostly Sports on TikTok: https://www.tiktok.com/@mostlysportsshow?lang=en

Alex Gleason was one of the main architects behind Donald Trump's Truth Social. Now he focuses on the intersection of nostr, ai, and bitcoin. We explore open source ai agents, such as OpenClaw, and the wider implications of the tech on society.Alex on Nostr: https://primal.net/p/nprofile1qqsqgc0uhmxycvm5gwvn944c7yfxnnxm0nyh8tt62zhrvtd3xkj8fhggpt7fyClawstr: https://clawstr.com/Soapbox Tools: https://soapbox.pub/toolsMy bot's nostr account: https://primal.net/p/nprofile1qqsfzaahg24yf7kujwrzje8rwa7xmt359tf9zyyjeczc9dhll30k8pgmlfee2 EPISODE: 190BLOCK: 935786PRICE: 1422 sats per dollar(00:02:30) Value-for-value, no sponsors, and show philosophy(00:02:39) Alex Gleason returns to talk AI(00:03:56) From vibe coding to open-source agents with memory(00:05:24) Messaging-first UX: Signal, Nostr, WhatsApp as AI interfaces(00:06:10) Why chatbots beat traditional AI apps for mainstream users(00:07:07) Open protocols pain vs closed platforms; Bitcoin and Nostr(00:08:52) Automating social games: price tracker and agent posting on Nostr(00:10:01) AI mediators for collective action, constitutions, and nonprofits(00:11:46) Scaling governance: trust, bias, and Discord vs freedom tech(00:13:14) Bot barriers on centralized messengers and need for open chat(00:14:04) Clawstr: decentralized AI-to-AI discussions on Nostr(00:15:21) Hype vs reality in AI agents; emergent behaviors and money(00:16:26) Agentic payments: bots with Cashu wallets and earnings(00:18:40) Agents solving UX pain: relay management, keys, and UTXOs(00:20:00) Cold storage approvals with chat agents: a new wallet paradigm(00:20:22) Specialized agents, skills, and distribution challenges(00:22:34) Cost tradeoffs: pay another agent vs build skills yourself(00:24:55) Token burn lessons(00:27:44) Beyond OpenClaw: bloated stacks, Icarus, and cost-optimized agents(00:28:52) Hybrid model routing: local small models with cloud for heavy lifts(00:29:47) Agents paying humans directly: disintermediating platforms(00:30:47) Voice, screens, and form factors: AirPods, text, and brain chips(00:33:01) Apple, privacy branding, and the Siri gap(00:34:35) Enterprise AI choices: Google, Microsoft, trust, and lock-in(00:36:01) Model personalities: Gemini concerns and OpenAI "openwashing"(00:37:23) Obvious agent UX wins: flights, rides, and social media shifts(00:38:50) Local-first social: group chats, neighbors, and healthier networks(00:40:16) Antiprimal.net: standardizing stats from Primal's caching server(00:43:34) Open specs, documentation via AI, and trust tradeoffs(00:45:18) Indexes vs client-side scans: performance and verification(00:46:20) APIs, rate limits, and a market for paid Nostr data(00:47:57) Agents and DVMs: paying sats for services on demand(00:48:49) Degenerate bots: LN Markets, costs, and Polymarket curiosity(00:50:42) Truth feeds for agents: Nostr, webs of trust, and OSINT sources(00:53:51) Post-truth reality: verification, signatures, and subjectivity(00:56:04) Polymarket mechanics: on-chain prediction markets and signals(01:00:10) Trading perception vs truth; sports markets as timelines(01:01:45) The Clawstr token saga: hype, claims, and misinformation(01:07:11) Why meme coins are scams: no equity, utility myths, slow rugs(01:08:55) Pulling the rug back: swapping out, fallout, and donations(01:10:49) Aftermath: donating to OpenSats and lessons learned(01:12:14) Prediction markets vs meme coins: societal value distinction(01:15:25) Iterating beyond OpenClaw and MoltBook; experiments on Nostr(01:18:00) Do bots need Clawstr? Segregating AI content and labels(01:21:02) Reverse CAPTCHA: proving bot-ness and the honor system(01:23:38) Souls, prompts, and token costs; agents with personalities(01:27:01) Wrap-up: acceleration, optimism, and next check-in(01:28:21) Open-source models, China's incentives, and local hardware(01:30:06) The dream stack: home server agent, Nostr chat, hybrid modelsmore info on the show: https://citadeldispatch.comlearn more about me: https://odell.xyz

Welcome back to PlanBri! Visit https://highnoonspirits.com to find a pack near you Excited to make new connections. Download Bumble today. Get your $6 All-American SONIC Smasher Meal at SONIC Today! GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. Follow us on Instagram: https://www.instagram.com/planbriuncut/ Follow us on TikTok: https://www.tiktok.com/@planbriuncut?lang=en Follow us on Twitter: https://twitter.com/planbriuncut Our Merch: https://store.barstoolsports.com/collections/planbri-uncut?gad_source=1&gadid=&gclid=EAIaIQobChMI5OfqyMXOhAMVIWtHAR0ywwSVEAAYASAAEgLvMvD_BwE&utm_campaign=18065118167&utm_content=&utm_medium=paid&utm_source=google&utm_term=You can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/planbri

GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. NO PURCHASE NECESSARY. Open to eligible U.S. residents physically located in an eligible jurisdiction. Void where prohibited. Valid DraftKings Sportsbook account req. Opt-in req. Token valid on Super Bowl LX live bets only. Min. $1 bet. Min. odds -500. Token auto-applied to eligible bets and will be reissued after each use. Each eligible customer receives 1 prize (i) non-withdrawable Bonus Bet that expires in 30 days, stake removed from payout; or (ii) single-use 20% profit boost token that expires 30 days after issuance, max bet $20. 30 days = 720 hours. Begins 2/8/26 at 6:30 PM ET and ends 2/8/26 at 11:59 PM ET. See Official Rules at sportsbook.draftkings.com/promos for all entry requirements, free method of entry, odds, and prize details. Sponsored by Crown Gaming Inc.You can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/SpinninBackfist

0:00 Intro 2:00 Jon Gruden 15:00 Emmitt Smith & Jon Gruden 45:00 Feitelberg Sign the petition: https://www.change.org/p/give-mister-ed-his-rightful-spot-on-the-hollywood-walk-of-fame?source_location=psf_petitions Bobbleheads: https://store.barstoolsports.com/products/mostly-sports-bobblehead-ii?variant=42353493114977 Mark Titus and Brandon Walker talking sports... mostly. Thanks to our sponsors: DraftKings: GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. TaxAct: Sign up now for a chance to win! https://taxact.com/barstool Pizza Hut: Don't Forget to Pizza Before the Hut. Order the Big New Yorker for $10. Subscribe on YouTube: https://www.youtube.com/@MostlySportsTitusandWalker?sub_confirmation=1. Follow Mostly Sports on Twitter: https://twitter.com/MostlySports Follow Mark on Twitter: https://twitter.com/clubtrillion Follow Brandon on Twitter: https://twitter.com/bfw Follow Mostly Sports on Instagram: https://www.instagram.com/mostlysportsshow/ Follow Mark on Instagram: https://www.instagram.com/marktheshark34/ Follow Brandon on Instagram: https://www.instagram.com/bwalkersec/ Follow Mostly Sports on TikTok: https://www.tiktok.com/@mostlysportsshow?lang=en Follow Brandon on TikTok: https://www.tiktok.com/@brandonfwalker?lang=en Follow Mark on TikTok: https://www.tiktok.com/@marktituspod?lang=en

Welcome back for season 3 of The Big Podcast. Today Shaq brings you a Super Bowl Special! Make sure you subscribe so you never miss an episode of The Big Podcast. Download DraftKings Pick6 and use code BIGPOD Follow us on all platforms: https://linktr.ee/bigpodcast GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. #nba #lakers #shaq #bigpod #basketball #bigshaq #bigpodcast #comedy #humor #miketyson #boxing #jakepaulSee omnystudio.com/listener for privacy information.

Raul Bilecky is a researcher, explorer, and creator of the YouTube channel “Pillars of the Past.”www.youtube.com/@PillarsofthePast101https://www.patreon.com/PillarsofthePastwww.pillarsofthepast.com Perplexity: Download the app or ask Perplexity anything at https://pplx.ai/rogan. Don't miss out on all the action this week at DraftKings! Download the DraftKings app today! Sign-up using https://dkng.co/rogan or through my promo code ROGAN. GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit https://ccpg.org (CT), or visit https://www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: https://sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. 30% off + two free gifts. Visit https://ARMRA.com/ROGAN Learn more about your ad choices. Visit podcastchoices.com/adchoices

Nick and KB catch up with Dana Beers, Rone, and Joey Avery ahead of the big game in San Francisco! Ads: Gametime - Download the Gametime app and use code UNTOLD for $20 off your first purchase. Rocket Money - Join at https://RocketMoney.com/untold Columbia Sportswear - Learn more about how you can bring the outdoors in at https://columbia.com/naturecalls ZBiotics - Head to https://ZBiotics.com/UNTOLD and use the code UNTOLD at checkout for 15% off. DraftKings - GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. Want more Anus? Check out the links below https://linktr.ee/anuspodcastYou can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/anuspodcast

Sign the petition: https://www.change.org/p/give-mister-ed-his-rightful-spot-on-the-hollywood-walk-of-fame?source_location=psf_petitions Bobbleheads: https://store.barstoolsports.com/products/mostly-sports-bobblehead-ii?variant=42353493114977 Mark Titus and Brandon Walker talking sports... mostly. Thanks to our sponsors: DraftKings: GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. NO PURCHASE NECESSARY. Open to eligible U.S. residents physically located in an eligible jurisdiction. Void where prohibited. Valid DraftKings Sportsbook account req. Opt-in req. Token valid on Super Bowl LX live bets only. Min. $1 bet. Min. odds -500. Token auto-applied to eligible bets and will be reissued after each use. Each eligible customer receives 1 prize (i) non-withdrawable Bonus Bet that expires in 30 days, stake removed from payout; or (ii) single-use 20% profit boost token that expires 30 days after issuance, max bet $20. 30 days = 720 hours. Begins 2/8/26 at 6:30 PM ET and ends 2/8/26 at 11:59 PM ET. See Official Rules at sportsbook.draftkings.com/promos for all entry requirements, free method of entry, odds, and prize details. Sponsored by Crown Gaming Inc. TaxAct: Sign up now for a chance to win! https://taxact.com/barstool Pizza Hut: Don't Forget to Pizza Before the Hut. Order the Big New Yorker for $10. Subscribe on YouTube: https://www.youtube.com/@MostlySportsTitusandWalker?sub_confirmation=1. Follow Mostly Sports on Twitter: https://twitter.com/MostlySports Follow Mark on Twitter: https://twitter.com/clubtrillion Follow Brandon on Twitter: https://twitter.com/bfw Follow Mostly Sports on Instagram: https://www.instagram.com/mostlysportsshow/ Follow Mark on Instagram: https://www.instagram.com/marktheshark34/ Follow Brandon on Instagram: https://www.instagram.com/bwalkersec/ Follow Mostly Sports on TikTok: https://www.tiktok.com/@mostlysportsshow?lang=en Follow Brandon on TikTok: https://www.tiktok.com/@brandonfwalker?lang=en Follow Mark on TikTok: https://www.tiktok.com/@marktituspod?lang=en

SPONSORS: - New customers, bet $5 and get extra bonus bets if your bet wins. The Crown Is Yours! Sign up using https://dkng.co/mom or through my promo code MOM. #dkpartner - Visit http://BlueChew.com to get 10% off your first month. - Sign up for your one-dollar-per-month trial today at https://shopify.com/ymh - Tear. Pour. Live More. Go to https://liquid-iv.com and get 20% off your first order with code YMH at checkout. This week on Your Mom's House, Christina P is riding solo while Tom Segura is away shooting Bad Thoughts, and she's joined by comedian/Impractical Joker Sal Vulcano for a unscheduled ride into the world of Architecture Digest. Things spiral immediately as Christina introduces Sal to Kevin Leonardo, a self-proclaimed “educational” creator who demonstrates ass shaving, douching, and butt-hole hygiene in full HD. Sal, who has a famously weak constitution and a severe fear of vomiting, is absolutely not prepared for what he sees, but you probably are. From there, Christina and Sal debate wild internet conspiracies involving satanic rituals, celebrity baby-eating rumors, and adrenochrome hysteria, questioning how anyone could possibly keep secrets at that level of fame. They next break down a viral food challenge. where a man with obviously fake teeth eats an obviously roasted potato every single day. The chaos continues with Sal recounting his nightmare experience in a self-driving Waymo car, the duo dissecting unhinged “alpha male” Uber-fight roleplay videos, and a brutally honest roast of shirtless celebrity vacation photos, featuring Jack Nicholson living his absolute best life. Plus some TikToks, cool guys, and Grammy fashion, all in this weeks episode for you to chew on. Your Mom's House Ep. 845 https://tomsegura.com/tour https://christinap.com/ https://store.ymhstudios.com https://www.reddit.com/r/yourmomshousepodcast GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit http://gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit http://ccpg.org (CT), or visit http://www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: http://sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. Chapters 00:00:00 - Intro 00:04:25 - Celebrity Satanists 00:09:57 - Opening Clip: Beaver Teeth Potato Eater 00:15:54 - McDonalds, Steve Irwin, & Beavo's IG 00:21:24 - Waymos & Disrespectful Uber Drivers 00:31:48 - Vacation Jack Nicholson, Pam Anderson, & Eyebrows 00:40:44 - RIP Catherine O'Hara + Michael Jackson & Eddie Murphy 00:46:11 - Sex Scenes In Movies 00:48:54 - Architecture Digest Open Door 00:53:30 - Uncomfortable Vin Diesel 00:57:48 - Grammy Fashion 01:04:49 - Sal's New Show 01:06:34 - Christina's Curations 01:16:01 - Closing Song - "Talk 2 U Girl" by Saul Garland Learn more about your ad choices. Visit megaphone.fm/adchoices

The Giants found their next offensive coordinator in Matt Nagy. Former OC for the Chiefs and Bears HC from 2018-2021. Shaun and Justin talk about it and break it down!Use our code for 10% off your next SeatGeek order*: https://seatgeek.onelink.me/RrnK/JOMBOY10. Sponsored by SeatGeek. *Restrictions apply. Max $20 discountDownload the DraftKings Sportsbook app and use promo code JMFOOTBALL00:00 Matt Nagy hired by Giants HC01:50 Initial reaction to the hire06:30 Where did this hire come from10:00 Matt Nagy's past results12:00 Nagy Didn't have much to work with in Chicago17:00 Working with The Chiefs and Mahomes20:35 Nagy's Rushing Offense is a concern27:00 Giants need to be a more diverse offense29:30 Nagy's Playcalling is Creative and Simple31:30 expecting a Passing lead offense33:00 The Giants pace of play is key37:34 Tracy and Skattebo in Nagy's offense42:00 Extensions of the run game43:20 Getting too cute46:00 What's next for NagyCheck out our Merch: https://shop.jomboymedia.com/collections/talkin-giantsSubscribe to JM Football for our NFL coverage: https://www.youtube.com/@JMFootballFollow all of our content on https://jomboymedia.com#giants #nygiants Download the DraftKings Sportsbook app and use promo code JMFOOTBALLGAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA).Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply.On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min.$5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK.You can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/pickscentral

0:00 Intro 4:00 Flag Football Recap 14:00 NBA Trade Deadline/Celebrity All Star Game 1:08:00 CFB Calendar Disaster Sign the petition: https://www.change.org/p/give-mister-ed-his-rightful-spot-on-the-hollywood-walk-of-fame?source_location=psf_petitions Bobbleheads: https://store.barstoolsports.com/products/mostly-sports-bobblehead-ii?variant=42353493114977 Mark Titus and Brandon Walker talking sports... mostly. Thanks to our sponsors: DraftKings: GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. NO PURCHASE NECESSARY. Open to eligible U.S. residents physically located in an eligible jurisdiction. Void where prohibited. Valid DraftKings Sportsbook account req. Opt-in req. Token valid on Super Bowl LX live bets only. Min. $1 bet. Min. odds -500. Token auto-applied to eligible bets and will be reissued after each use. Each eligible customer receives 1 prize (i) non-withdrawable Bonus Bet that expires in 30 days, stake removed from payout; or (ii) single-use 20% profit boost token that expires 30 days after issuance, max bet $20. 30 days = 720 hours. Begins 2/8/26 at 6:30 PM ET and ends 2/8/26 at 11:59 PM ET. See Official Rules at sportsbook.draftkings.com/promos for all entry requirements, free method of entry, odds, and prize details. Sponsored by Crown Gaming Inc. Pizza Hut: Don't Forget to Pizza Before the Hut. Order the Big New Yorker for $10. TaxAct: Sign up now for a chance to win! https://www.taxact.com/barstool Subscribe on YouTube: https://www.youtube.com/@MostlySportsTitusandWalker?sub_confirmation=1. Follow Mostly Sports on Twitter: https://twitter.com/MostlySports Follow Mark on Twitter: https://twitter.com/clubtrillion Follow Brandon on Twitter: https://twitter.com/bfw Follow Mostly Sports on Instagram: https://www.instagram.com/mostlysportsshow/ Follow Mark on Instagram: https://www.instagram.com/marktheshark34/ Follow Brandon on Instagram: https://www.instagram.com/bwalkersec/ Follow Mostly Sports on TikTok: https://www.tiktok.com/@mostlysportsshow?lang=en Follow Brandon on TikTok: https://www.tiktok.com/@brandonfwalker?lang=en Follow Mark on TikTok: https://www.tiktok.com/@marktituspod?lang=en

Mike Benz is the Executive Director of the Foundation for Freedom Online and a former official with the U.S. Department of State.www.youtube.com/@MikeBenzCyberOfficialwww.foundationforfreedomonline.com Perplexity: Download the app or ask Perplexity anything at https://pplx.ai/rogan. Don't miss out on all the action this week at DraftKings! Download the DraftKings app today! Sign-up using https://dkng.co/rogan or through my promo code ROGAN. GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit https://ccpg.org (CT), or visit https://www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: https://sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. Visit https://squarespace.com/ROGAN to save 10% off your first purchase of a website or domain. Learn more about your ad choices. Visit podcastchoices.com/adchoices

On Episode 617 of Spittin' Chiclets, The crew are joined by USA Hockey Hero and 1980 Olympic Gold Medalist, Jack O'Callahan to talk about the recent Netflix Documentary tha gathered the 1980 USA team back in Lake Placid to recount how we got one of the most inspirational moments in USA Sports history. But first, with probably the best outdoor game between Tampa and Boston and with the boys attending an unreal Penn State Vs. Michigan State weekend matchup, the hockey world is electric. All this and more on this weeks episode, you won't want to miss it. 00:01:29 - Stadium Series 00:28:40 - Barry Trotz 00:33:14 - Around The League 00:42:59 - MTL Fan Takeover 00:48:28 - Penn State 00:56:53 - Quick Hits 01:18:25 - Jack O'Callahan Interview 02:32:02 - ETC. Support the Show: PINK WHITNEY: Take Your Shot with Pink Whitney RHOBACK: Use the code CHICLETS on https://Rhoback.com for 20% off your first purchase through the end of this week BODYARMOR FLASH IV: Work hard and hydrate hard with BODYARMOR Flash I.V. Grab it at 7-Eleven KRAKEN: Go to https://kraken.com/barstool and sign up with code BARSTOOL25 for $25 in BTC DRAFT KINGS: GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK.You can find every episode of this show on Apple Podcasts, Spotify or Netflix. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/schiclets

Files on Files | Son of a Boy Dad #372 -- Harry recaps the weekend in BUSH gaming and world politics -- #Ad: Download the Gametime app and use code BOYDAD for $20 off your first purchase. -- #Ad: Head to https://ZBiotics.com/SOABD and use the code SOABD at checkout for 15% off. -- #Ad: Learn more about how you can bring the outdoors in at https://columbia.com/naturecalls -- #Ad: GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. -- Follow us on our socials: https://linktr.ee/sonofaboydad -- Merch: https://store.barstoolsports.com/collections/son-of-a-boy-dad -- SUBSCRIBE TO THE YOUTUBE #SonOfABoyDad #BarstoolSportsYou can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/sonofaboydad

On today's show we are joined by PFT Commenter & Steven Cheah for a snake draft of The Top 25 NFL Moments of The 2000's. SUPPORT THE SHOW: Rhoback - Use the code “DOG” on https://Rhoback.com for 20% off for all new customers through the end of this week DraftKings - GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK.You can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/thedogwalk

T-Bob, Big Ev, and Blutman are joined by Mike Katic to ring in the College Football offseason as they talk CFB scheduling, the ever developing new era of College sports, and whether or not Alabama Football has lost its luster. ++++++++++++++++++++++++ DraftKings - GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. Gametime - Download the Gametime app and use code ROUGH for $20 off your first purchase. Tony Chachere's Seasoning - Meet the all-new Tony's Cajun Kick. Turn up the heat, turn up the flavor. Cajun Kick brings bold spice, zesty garlic, and just the right burn to wake up anything on your plate. Shop now at https://www.cajunkick.com/barstool Rocket Money - Join at https://RocketMoney.com/rough BlueChew - Get 10% off your first month of BlueChew Gold with code ROUGHNESS https://bluechew.com ++++++++++++++++++++++++ Follow the podcast on... Facebook: facebook.com/UnnecRoughness Instagram: instagram.com/unnecroughness/ Twitter: twitter.com/unnecroughness/ TikTok: tiktok.com/@unnecroughnessYou can find every episode of this show on Apple Podcasts, Spotify or YouTube. Prime Members can listen ad-free on Amazon Music. For more, visit barstool.link/unnecroughness

Justin and Shaun grade the Giants Defensive players after the 2025 Season, react toThe giants coaching hires, and give their thoughts on the Steve Tisch situationUse our code for 10% off your next SeatGeek order*: https://seatgeek.onelink.me/RrnK/JOMBOY10. Sponsored by SeatGeek. *Restrictions apply. Max $20 discountDownload the DraftKings Sportsbook app and use promo code JMFOOTBALL00:00 Giants Defense 2025 Report Card01:50 Steve Tisch on the Epstein list06:00 Giants OC search after Todd Monken12:00 Coaching staff additions16:00 Report Card Grades, Darius Alexander25:25 Darius Muasau31:20 Deonte Banks36:30 Kayvon Thibodeaux44:15 Roy Robertson-Harris47:00 Dane Belton51:50 Dru Phillips57:10 Dexter Lawrence01:03:30 Paulson Adebo01:07:30 Cor'Dale Flott01:10:30 Tyler Nubin01:15:00 Jevon Holland01:18:00 Abdul Carter01:23:57 Brian Burns01:28:30 Bobby OkerekeCheck out our Merch: https://shop.jomboymedia.com/collections/talkin-giantsSubscribe to JM Football for our NFL coverage: https://www.youtube.com/@JMFootballFollow all of our content on https://jomboymedia.com#giants #nygiants Download the DraftKings Sportsbook app and use promo code JMFOOTBALLGAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA).Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply.On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min.$5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Mark Titus and Co. talking hoops… mostly. Thanks to our sponsors: DraftKings: GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit ccpg.org (CT), or visit www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. Venmo: Score more with the college-branded Venmo Debit Card and get up to 5% cash back with Venmo Stash. Sign up at venmo.com/collegecard. The Venmo Mastercard® is issued by The Bancorp Bank, N.A. Select schools available. Venmo Stash bundle terms and exclusions apply at venmo.me/stashterms. Max $100 cash back per month. Subscribe to Mostly Sports on YouTube: https://www.youtube.com/@MostlySportsTitusandWalker?sub_confirmation=1. Follow Mostly Sports on Twitter: https://twitter.com/MostlySports Follow Mark on Twitter: https://twitter.com/clubtrillion Follow Tate on Twitter: https://x.com/BarstoolTate Follow Dana on Twitter https://x.com/danabeers Follow WBR on Twitter: https://x.com/W_B_Rick Follow Mostly Hoops on Instagram: https://www.instagram.com/mostlyhoopsshow/ Follow Mostly Sports on Instagram: https://www.instagram.com/mostlysportsshow/ Follow Mark on Instagram: https://www.instagram.com/marktheshark34/ Follow Tate on Instagram: https://www.instagram.com/barstool_tate/ Follow Dana on Instagram: https://www.instagram.com/danabeers/ Follow Mostly Hoops on Tiktok: https://www.tiktok.com/@mostlyhoopsshow Follow Mostly Sports on TikTok: https://www.tiktok.com/@mostlysportsshow?lang=en

Million Dollaz Worth of Game goes BEHIND THE SCENES at Madison Square Garden.

Andrew Wilson has participated in thousands of debates on political, cultural, and religious topics. He is the host of “The Crucible” and proprietor of its associated online school, Debate University.www.youtube.com/@The_Cruciblewww.rumble.com/c/TheCruciblewww.thecrucible.videowww.debateuniversity.com Perplexity: Download the app or ask Perplexity anything at https://pplx.ai/rogan. Don't miss out on all the action this week at DraftKings! Download the DraftKings app today! Sign-up using https://dkng.co/rogan or through my promo code ROGAN. GAMBLING PROBLEM? CALL 1-800-GAMBLER, (800) 327-5050 or visit gamblinghelplinema.org (MA). Call 877-8-HOPENY/text HOPENY (467369) (NY). Please Gamble Responsibly. 888-789-7777/visit https://ccpg.org (CT), or visit https://www.mdgamblinghelp.org (MD). 21+ and present in most states. (18+ DC/KY/NH/WY). Void in ONT/OR/NH. Eligibility restrictions apply. On behalf of Boot Hill Casino & Resort (KS). Pass-thru of per wager tax may apply in IL. 1 per new customer. Must register new account to receive reward Token. Must select Token BEFORE placing min. $5 bet to receive $300 in Bonus Bets if your bet wins. Min. -500 odds req. Token and Bonus Bets are single-use and non-withdrawable. Bet must settle by and Token expires 2/22/26. Bonus Bets expire in 7 days (168 hours). Stake removed from payout. Terms: https://sportsbook.draftkings.com/promos. Ends 2/15/26 at 11:59 PM ET. Sponsored by DK. Learn more about your ad choices. Visit podcastchoices.com/adchoices