Podcasts about XL

Samuel vacationed with strangers and lived to tell the tale. This week, he breaks down his full experience on the Ghostie Getaway, the guys draft the ultimate beach activities, and Dane dishes out some fresh advice for his new coworker.---Please message us if you would be interested in joining our Fantasy Football league. You can do that via email or Instagram DM.---If you want an Until Next Week Podcast shirt for $20 (+shipping), email untilnextweekpodcast@gmail.com or DM us on Instagram. (Large & XL available)---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Ghostrunners Getaway, Gulf Shores Vacation, The Beach, Lindsey is Back, The Lake, Sunburns, Packers Backup, Dolphins Trade, Lambert's Cafe, Surprise Seasons, Spikeball, Eating Crabs, & No Pro Bowl.

Chuck and Heath discuss two new starting QB announcements that are interesting for different reasons. Spencer Holbrook of Letterman Row previews Chuck's number 4 team Ohio State. Ryan Green of 1010 XL in Jacksonville reacts to Florida naming Aaron Philo starting QB.See omnystudio.com/listener for privacy information.

Mad Libs are back! When we aren't struggling with action verbs, Dane is getting sent to the dunk tank, Samuel is raving about Chick-fil-A's new menu, and the guys give their super early Super Bowl predictions.---Please message us if you would be interested in joining our Fantasy Football league. You can do that via email or Instagram DM.---If you want an Until Next Week Podcast shirt for $20 (+shipping), email untilnextweekpodcast@gmail.com or DM us on Instagram. (Large & XL available)---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, St. Louis Arch Grounds, Union Station, Chicken & Waffles, Catan, Bobblehead Haul, Bad Ebay Experiences, Fantasy Football, Alvaro Call, St. Louis Part 2, Springfield Cardinals, Early Christmas Music, Fantasy Busts, & Texas Belly Pete.

Alex Peru invented one of the most versatile lures in Northeast saltwater fishing — the Albie Snax — and he did it by asking a question nobody else was asking: how do you make a weightless soft plastic that actually casts? In this episode, Peter sits down with Alex to unpack the design decisions behind the Albie Snax, the Super Snax (which actually came first), and the Fish Snax XL. Then Alex breaks down his new company, Clobber, and The Freak — an 11-inch, 4-ounce sliding-weight spook with a baitfish profile and a nose-rigged single hook, built to convert the big striped bass that follow a Doc but won't commit. Along the way: why stiffness (not weight) is the secret to casting distance, how to rig soft plastics for weeds and mangroves, why squid are always in the bait ball, reading a fish's body language, the cat-toy theory of triggering strikes, and why big stripers hit a baitfish in the head. Guest Links Clobber (The Freak) — Instagram: https://www.instagram.com/clobber_company/ Fish Snax Lures (Albie Snax, Super Snax, XL): https://www.fishsnaxlures.com ZipChip pocket frisbee: https://www.zipchipsports.com/ Shop the Episode (saltwateredge.com) Albie Snax — https://www.saltwateredge.com/products/albie-snax Fish Snax Super Snax — https://www.saltwateredge.com/products/fish-snax-super-snax Fish Snax XL — https://www.saltwateredge.com/products/fish-snax-xl-albie-snax Albie Snax Hooks 4/0 — https://www.saltwateredge.com/products/albie-snax-hooks-4-pack Fish Snax Twistlock Hooks — https://www.saltwateredge.com/products/fish-snax-twistlock-hooks Owner Twistlock Beast Hooks — https://www.saltwateredge.com/products/owner-twistlock-beast-hooks Chapters / Timestamps (Timestamps are from the raw recording — they'll shift after you cut the ending and any mid-roll edits. Re-check against the final export.) 00:00 — Intro: the story of the Albie Snax 01:19 — Origins: starting the business in 2011, the albie lures of the day 02:44 — The design problem: a "weightless" soft plastic that casts 04:34 — More plastic, not more weight — why cylindrical, and the two-piece mold 06:11 — The red-head prototype era and hand-pour war stories 07:20 — Rigging mileage: rotate the bait a quarter turn and re-rig 08:01 — Skipping into mangroves for snook 09:15 — The original colors (amber, white, bubblegum, olive) and the two-tones 10:49 — Rigging: screw-lock swimbait hooks, plus a nose-rig trick with a thin-wire hook 12:28 — Squid, the amber Snax, and jumping the ladder of the food chain 14:35 — From albie lure to year-round striper staple; selling the company 15:18 — Surprise: the Super Snax came before the Albie Snax 16:43 — Fish Snax XL and the rat tail: a lure that folds in the air 20:32 — ZipChip: fishing-lure engineering applied to a pocket frisbee 25:20 — Clobber and The Freak: reverse-engineering why the Doc works 28:35 — Profile matters: why a spook shaped like a baitfish converts more fish 31:13 — The sliding magnetic weight: casts tail-heavy, swims level 33:50 — The skip: very bunker-like, and perfect for casting into boulder fields 35:07 — How to work a glide spook: rod tip down, watch your line (not your lure) 36:42 — The Freak: 11 inches, 4+ ounces — and a 14-inch prototype 39:58 — Curiosity vs. commitment: converting follows into strikes 43:58 — The cat-toy theory of triggering a predator 46:34 — Why big stripers hit the head — and the nose-rigged single hook 49:13 — Hook mechanics: gap, wire, and why you stop dropping fish 51:06 — Where to get The Freak (hand-made drops for now) 52:02 — Wrap-up: Alex's two lures, two resources, and one last day on Earth

In a busy third hour, Mac & Bone get in-person accounts from yesterday's Panthers/Jaguars joint practice, as Vashti Hurt from Carolina Blitz and Ryan Green from 1010 XL in Jacksonville tell you how the Panthers fared yesterday, before Thursday's edition of Random Crap See omnystudio.com/listener for privacy information.

The guys are joined by Ryan Green from 1010 XL in Jacksonville, as he tells you what stood out to him from the Panthers/Jaguars joint practice, he talks about watching Bryce Young in person, what expectations should be for both teams after they both made the playoffs last year, & more See omnystudio.com/listener for privacy information.

The prodigal son has returned! Dane is back this week and he is bringing the heat! Listen in this week as the guys discuss bartending for the women's ministry, getting slandered at work, and all things related to fantasy football. Additionally, we attempt are hardest challenge yet...naming 100 Bible characters in 10 minutes.---Please message us if you would be interested in joining our Fantasy Football league. You can do that via email or Instagram DM.---If you want an Until Next Week Podcast shirt for $20 (+shipping), email untilnextweekpodcast@gmail.com or DM us on Instagram. (Large & XL available)---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Wisconsin, Fireworks, The Odyssey, Grandpa's Birthday, Dirty Soda Bartending, GOAT Award, New Roommates, Wiffle Ball Playoffs, Softball Drama, Wild Injury Predictions, Jayden Daniels NIL, and Gulf Shores.

Wir stellen das Line 6 Helix Stadium Floor (non XL) vor. Gonz hat es sein ein paar Monaten in Benutzung und auch schon Live eingesetzt. Tatsächliche Benutzererfahrung anstatt nur Marketing gebrabbel. Viel Spaß dabei. Diese Folge auf Youtube https://youtu.be/bN5u4OFP_7M 00:00:00 Intro und Begrüßung 00:03:15 Aufbau 00:07:20 Editor 00:16:30 Stimmgerät und Focus View 00:21:15 Hype Knopf 00:22:20 Gonz Presets 00:28:00 Clone 00:32:30 Preset basteln – 2 Gitarristen an einem Helix 00:45:45 Showcase 00:50:30 Lautstärke Matrix 00:54:30 Mehr Showcase 01:08:30 Vor- und Nachteile 01:22:25 Verabschiedung und Outro https://www.facebook.com/gitarrenkram https://gitarrenkram.de https://gitarrenkram.de/gitarrenkram-unterstuetzen Unsere Musik auf Bandcamp https://silentmenband.bandcamp.com/releases

01. Накуренный пилот едва не разбил самолёт с пассажирами 02. Кебаб XL исчез из меню «Крестов-2» 03. В России хотят ввести интернет по паспорту 04. Американец с микропенисом выбрал филлеры вместо операции 05. У Трампа появился «человек-будильник» 06. Россияне захотели Человека-паука

Ryan Green, of 1010 XL in Jacksonville, joined The Drive for a quick scouting report on the newest Chiefs edge rusher.

Panelists: Paul Hagstrom (hosting), Quinn Dunki, and Kay Savetz Topic: 1990 1990 saw a decline of various personal computer magazines, as well as the introduction of the Video Toaster. Apple started misting the market with computer variants. Topic/Feedback links: RCR episode 90 Macintosh LC  Macintosh Classic  Macintosh IIfx  Macintosh IIsi Computer mags in 1990 were an interesting mix of modern and dying (Compute's Gazette, BBC Acorn, Atari Explorer, the last issue of Antic) and MSX which was both. MiniDisc  (actually 1992) MiniDisc.wiki (home of Web MiniDisc Pro) MZ-RH1 MiniDisc player/recorder with USB data export support Photoshop 1.0  Video Toaster Retro Computing News: Interim Computer Museum Intellivision: How a videogame battled Atari and almost bankrupted Barbie Adventures in Videoland Adventures in Videoland playthrough 2-XL Vintage Computer/discussion-related commercials: MiniDisc system infomercial Minute Rice Family Computing magazine  2-XL by Mego Keeping up with the Commodore Super Breakout Various 1980s ads (The Clapper) Lotus 123 Retro Computing Gift Idea: PBTfans 1984 R2 keycaps See also: Big Mac at CHM Auction Picks: Paul: CORE remote CL 9 (company) Celadon PIC-100 (rebranded CORE, post CL 9) MagicLink PIC-1000 (no relation, but had IR remote capability) Oric-1 Oric-1 (Wikipedia) Pravetz 8D (Oric-1 clone) Elizabethan typing Sargon II MC-10 Chaos the software Three tiny Apple programs Lisa floppies Closing notes: Kay’s 2025 Wrapped Softalk for the IBM PC Enter magazine (at time of recording) Teaching and Computers Other ways to experience this episode: a2stream file for this episode: http://lo-fi.rcrpodcast.com/rcr290.a2stream YouTube episode 290 Feedback/Discussion: feedback@rcrpodcast.com rcrpodcast@podcast.social on Mastodon rcrpodcast.com on bluesky Vintage Computer Forum RCR Podcast on Facebook Intro / Closing Song: Back to Oz by John X Listen/Download:

Jack is back and Dane is not! Listen in this week as Samuel travels to St. Louis to see Noah Kahan and DJ Diesel, Jack tries to become Captain America, and the guys blind rank everything.---If you want an Until Next Week Podcast shirt for $20 (+shipping), email untilnextweekpodcast@gmail.com or DM us on Instagram. (Large & XL available)---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Noah Kahan in St. Louis, Noah Kahan Concert, DJ Diesel Concert, Shaq, Elevator Hack, Wisconsin State Fair, Cow Photo Shoot, T.J. Maxx Credit Card, Cardinals Trade Deadline, Tarik Skubal Trade Deadline, and Lindsey Voice Memos.

When your guest is a sixth degree black belt, has rolled with Helio Gracie and had Rickson Gracie as best man at his wedding, you know this is going to be a GREAT episode. Training jiu jitsu for 50 years, Carlos grew up with the Gracies. He shares some epic stories in this is a not-to-be missed episode by a legitimate pioneer of the art!P.S. We still have a limited number of high-quality Roll or Die x MANA T-Shirts available in S, M, L & XL - message us to secure yours at $30 + shipping, which is a total steal!Links to our sponsors making this podcast possible and all our past episodes can be found in our bio or via https://linktr.ee/Roll_or_Die_PodcastDid you know we can also be found at the links below, and anywhere else great podcasts are! https://podcasts.apple.com/au/podcast/roll-or-die/id1519037518https://www.youtube.com/@rollordiepodcast9106https://www.facebook.com/rollordiepodcast/https://www.instagram.com/roll_or_die_podcast/https://open.spotify.com/show/2BHJ2tB4H5GLB8IImRFcXqhttps://australian-podcasts.com/podcast/roll-or-die

How can you wear an XS shirt in one fabric, brand or style -- but an XL in another? *** Thank you for listening. Help power On Point by making a donation here: wbur.org/giveonpoint

Ari Meirov is back with the 6th episode of our 32 Team Training Camp tour, this time with the Jacksonville Jaguars & 1010 XL / 92.5 FM's Rick Ballou offering his expertise. Rick explains how the Jaguars intend to use Travis Hunter, he talks the relationship between Liam Coen/Trevor Lawrence and whether the Jags D is ready to match its takeaway total from 2025. 00:00 - Cold Open 02:00 - Front Office & Coaching Reset 04:18 - Roster Moves & Backfield Shift 05:55 - Devin Lloyd Departure Impact 07:13 - Team Motivation & Small Market Status 08:22 - Free Agent Leadership Additions 10:48 - Trevor Lawrence in Liam Coen's Offense 13:39 - Travis Hunter's Starting Corner Role 16:43 - Parker Washington's Standout Camp 19:38 - Brian Thomas Jr.'s Camp Resurgence 22:48 - Tight End Usage & 12 Personnel 25:44 - Secondary Competition & Takeaways 28:56 - Interior D-Line & Pass Rush Depth 32:04 - 2026 Season Expectations & Schedule 36:34 - Show Wrap-up NFL Spotlight is dedicated to shining a light on those in the NFL that deserve a spotlight with top-notch insight and research from Ari Meirov. Follow Ari on X: https://x.com/MySportsUpdate Follow Ben on X: https://x.com/BenAllenSports Follow The 33rd Team on X: https://x.com/The33rdTeamFB Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome back to the ultimate hub for all things Carolina Panthers! In today's episode, we break down all the major headlines, press conference takeaways, and roster developments fresh out of Panthers training camp. Head coach Dave Canales took the podium today to drop a series of crucial updates as Carolina prepares for its preseason matchup against the Arizona Cardinals in the Hall of Fame Game in Canton, Ohio.First up, Coach Canales officially made the big quarterback announcement: veteran backup Kenny Pickett will get the start under center on Thursday night with Bryce Young sitting out to rest. Canales emphasized that while Bryce Young remains the undisputed starter for the 2026 season, the Hall of Fame Game serves as a vital showcase for Pickett to prove his command of the offense, set protections, and re-establish his rhythm in live game conditions. Joining Pickett in the action will be undrafted rookie standout Haynes King, who is set to serve as the secondary quarterback and handle a significant portion of snaps. Canales praised the depth and athletic versatility of the quarterback room while noting that giving King extended live reps will offer the coaching staff a clear evaluation of his growth during camp.We also dive into the pressers from both Kenny Pickett and Haynes King as they reacted to the starting assignment and detailed their preparation. Pickett spoke highly of the chemistry he has built with the second-team receiving core, singling out wide receivers who have been making big plays in practice and making the decision tough on the front office. Meanwhile, Haynes King shared his excitement for his first real NFL action, discussing how he approaches every rep with high intensity and confidence.In additional roster news, we review the recent unexpected retirement announcement from veteran quarterback Will Grier, which reshaped the dynamic of the QB room heading into camp, along with an update on wide receiver Xavier Legette ("XL"). Fans held their breath after Legette exited practice for an evaluation following a physical hit, but Coach Canales provided welcome news by confirming that Legette was cleared of a concussion and is expected to be fine moving forward.We wrap up the show analyzing what these roster decisions mean for the depth chart, player rotations, and overall team momentum as Carolina kicks off its four-game preseason schedule. Be sure to like, comment your thoughts on Pickett and King getting the spotlight, and subscribe for daily Panthers updates, film breakdowns, and postgame pressers all season long!

Ford F-150 2027 : pourquoi Ford abandonne le 2.7L EcoBoost ?TORQ | Épisode 586Le Ford F-150 2027 apporte plusieurs changements importants au Canada, particulièrement sous le capot. Le populaire moteur V6 2,7 L EcoBoost disparaît de la gamme et sera remplacé par un nouveau V6 3,0 L EcoBoost sur plusieurs versions, notamment les XL, STX, XLT et certains Lariat.Dans cette épisode de TORQ, je décortique le véritable guide de commande canadien du Ford F-150 2027 afin de comparer les changements avec le marché américain. Ford retire aussi l'Auto Start-Stop sur certaines motorisations, dont le V8 5,0 L, mais le système demeure présent avec le nouveau 3,0 L EcoBoost et plusieurs versions équipées du 3,5 L EcoBoost.Nous parlons également des différences importantes entre le Canada et les États-Unis : aucun nouveau Raptor 800A au Canada, aucun Tremor 400A plus abordable et toujours aucun V8 5,0 L disponible dans les versions King Ranch et Platinum canadiennes.Au programme :Nouveau moteur V6 3,0 L EcoBoostDisparition du moteur 2,7 L EcoBoostChangements à l'Auto Start-StopDifférences entre les modèles canadiens et américainsMotorisations du King Ranch et du PlatinumGamme Tremor et Raptor 2027Nouvelles couleurs et groupes d'équipementOptions supprimées et changements dans le guide de commandeEst-ce que Ford fait une erreur en abandonnant le 2,7 L EcoBoost? Est-ce que le nouveau moteur 3,0 L sera plus puissant, plus économique ou simplement plus coûteux? Donnez-moi votre opinion dans les commentaires.Abonnez-vous à TORQ pour suivre toute l'actualité automobile au Canada, les nouveaux véhicules, les camionnettes, les essais routiers et les changements importants dans l'industrie.#FordF150 #EcoBoost #Pickup

Dane skipped this week, so Jokes with Jack is taking his place! Listen in this week as Samuel takes over Spikeball, Jack got his man card, and the guys both draft the top phone apps.---If you want an Until Next Week Podcast shirt for $20 (+shipping), email untilnextweekpodcast@gmail.com or DM us on Instagram. (Large & XL available)---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, K-Life, Slammo, Spiderman: Brand New Day, Haircut Fails, St. Louis Cardinals Fall, Jackson Holliday Trade, Fantasy Baseball Nonsense, Trade Predictions, Bible App, Living With Kids, & Becoming a Grill Master.

Hey there friends and weirdos! This week we're celebrating the ten year anniversary of It Gets Weird by talking about John F. Kennedy, the world's most normal president who died in an extremely normal way surrounded by a cast of completely normal characters...or did he? That's right, this week we're doing a special XL episode discussing the bizarre world of JFK assassination conspiracies. All this and much more!

This week's guest is well known throughout the Apple Isle. Beginning his journey in the 1990s, Chris is a pioneer of the scene and one of the nicest guys around. Take a listen as he shares how he has stayed in the game for almost 30 years and how he is passing the torch to the younger generation of grapplers.P.S. We still have a limited number of high-quality Roll or Die x MANA T-Shirts available in S, M, L & XL - message us to secure yours at $30 + shipping, which is a total steal!Links to our sponsors making this podcast possible and all our past episodes can be found in our bio or via https://linktr.ee/Roll_or_Die_PodcastDid you know we can also be found at the links below, and anywhere else great podcasts are! https://podcasts.apple.com/au/podcast/roll-or-die/id1519037518https://www.youtube.com/@rollordiepodcast9106https://www.facebook.com/rollordiepodcast/https://www.instagram.com/roll_or_die_podcast/https://open.spotify.com/show/2BHJ2tB4H5GLB8IImRFcXqhttps://australian-podcasts.com/podcast/roll-or-die

Samuel high fived Forrest Frank, Dane gets called out in a sermon, and the guys rank the worst chain restaurants.---If you want an Until Next Week Podcast shirt shipped to you for $25 (Large & XL available), email untilnextweekpodcast@gmail.com or DM us on Instagram. ---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Greed Part 3, Kid Broke My Watch, Coros Pace 3, Dane Gets Called Out, Fantasy Baseball, Softball, Lebron James 76ers, World Cup Final, Cardinals Stink, Ring by Spring TV Show, Forrest Frank Tour Sales, Tori Kelly, Cory Asbury, The Figs, JP Pokluda, NF Spiderman, & Give Me A Reason.

In the second hour, Mac & Bone talk about XL having a good start to his third NFL training camp, they address the NFLPA's investigation into the Nic Scourton injury; Paul Domowitch joins the show to talk about his book about Sam Mills, & the guys talk about the players they believe the most in after the first few days of camp See omnystudio.com/listener for privacy information.

El Evangelio va de cosas pequeñas que se vuelven gigantes. En nuestra pequeñez pidamos un corazón XL capaz de contener la abundancia del amor divino.

In the opening hour of the show, Kyle reacts to the weekend practices for the Panthers, showing an uptick in production for the offense, if XL could be getting into an early groove, and Kyle admits to taking his own man card away for a mistake this morning.See omnystudio.com/listener for privacy information.

In recent months, the open vs closed, and US vs China discussions on model ownership and sovereign/local AI have heated up to a fever pitch. So it is very very good news that Poolside AI are finally emerging with new models, like Laguna S 2.1, that are beating Thinking Machines' recent release nearly 10 times their size.Poolside's recent tech report got a lot of praise due to their level of detail, and Vibhu first covered Laguna's recent technical report on our paper club:From spending $12 million building language models for code before the world cared to creating a Model Factory that can take a model from pre-training to release in eight weeks, Eiso Kant has spent more than a decade betting that code is the path to AGI. In this episode, the Poolside co-founder joins swyx and Vibhu to explain why ChatGPT felt like vindication, why Poolside embraced open weights and open research, and why he would rather live in a world with 100 foundation model companies than five even if Poolside were one of the five.We go deep on Poolside's Model Factory: the engineering systems behind 10,000–20,000 experiments per month, streaming data directly into training, reproducible experimentation, low-precision compute, and agents that increasingly write code, launch jobs, evaluate results, and modify the pipelines used to train future models. Eiso also unpacks their recent launch Laguna S, why persistence, verification, and backtracking may matter more than raw intelligence, how much capability remains inside smaller models, why reinforcement learning will move earlier into pre-training, and why next-token prediction is still extracting too little from the web.We also discuss model-harness co-design, Poolside's path from coding agents to AGI, why Eiso thinks MCP and traditional tool calls are “stupid,” the real economics behind frontier-model training, Poolside's $500 million raise, open-source AI, regulation, NVIDIA and TSMC's influence, engineering productivity in the agent era, high-agency teams, and hiring at Poolside.We discuss:* How Andrej Karpathy's RNN work inspired Eiso to start building language models for code in 2015* Why Eiso spent four years and $12 million pursuing an idea before the market cared* Why ChatGPT felt like vindication and brought Poolside back to open source* Why Eiso would prefer 100 foundation model companies over an oligopoly of five* The difference between releasing open weights and publishing genuinely open research* Why Poolside deliberately built a global research organization outside the Bay Area talent war* Why model building is ultimately 90% engineering* The Model Factory: Poolside's end-to-end system for rapidly training and improving models* How fewer than 70 researchers run roughly 10,000–20,000 experiments each month* How Poolside moved from six-month model cycles to five- and eight-week launches* Why streaming data directly into training unlocked faster experimentation* How immutable data, versioned code, and reproducibility enable rigorous model research* Why Eiso wants capable researchers to leave their labs and become Poolside's competitors* Why 95% of model building can be reduced to better data or compute efficiency* Laguna S and why persistence, verification, and backtracking can outperform raw intelligence* Why smaller models may handle far more knowledge work than previously expected* Why reinforcement learning will move earlier into pre-training* Why next-token prediction is still failing to extract enough knowledge from the web* Why distillation and environments have become the AI industry's favorite “drugs”* Why mid-training is really an early form of curriculum design* Low-precision training, networking bottlenecks, and the next gains in compute efficiency* Laguna S: 118 billion total parameters, 8 billion active, and eight weeks from training to launch* Why model builders can often evaluate a new checkpoint within its first 30 minutes* Model versus harness: where agent capabilities actually come from* Why Poolside sees coding and long-horizon software tasks as a path to AGI* Why Eiso thinks MCP and traditional tool calls are “stupid”* Why future agents will write scripts instead of choosing from dozens of predefined tools* The case for minimal harnesses, containers, and model freedom* Why Poolside is prioritizing vision but does not expect to work on audio soon* Why language may be the most compute-efficient modality for encoding knowledge and reasoning* The real cost of model development and why the final training run is anticlimactic* The story behind the Poolside name and why it represents refusing to lower ambitions* How Poolside raised $500 million while investors still questioned whether AGI was real* Why intelligence could become the world's most demanded and commoditized resource* When open models may become too capable to release without restrictions* Why unilateral AI safety does not work in a globally competitive environment* How regulation could accidentally lock in an oligopoly of two or three AI companies* NVIDIA, TSMC, and the hardware systems underpinning foundation-model progress* Why reinforcement-learning wall-clock time is one of Poolside's biggest bottlenecks* Why Poolside trains models from scratch instead of simply distilling larger models* How AI changes the way companies should measure engineering productivity* Why agency may become the most important quality for employees in the AI era* How leaders align high-agency people through shared goals and clear constraints* Hiring across research, post-training, pre-training, architecture, evals, and engineering at PoolsideEiso KantLinkedIn: https://www.linkedin.com/in/eisokantX: https://x.com/eisokantPoolside: https://poolside.aiTimestamps00:00:00 Introduction00:00:54 Karpathy, RNNs, and Building Code Models Before Transformers00:02:26 The $12M Failure and ChatGPT Vindication00:03:39 Open Source and the Case for 100 Foundation Model Companies00:09:22 Open Weights, Open Research, and Poolside's Global Team00:16:04 The Model Factory: Why Model Building Is 90% Engineering00:20:19 Agents, Automated Experiments, and Early Signs of RSI00:24:04 Streaming Data, Reproducibility, and Scientific Rigor00:30:35 Creating More Foundation Model Companies00:36:07 Laguna S: Persistence vs. Raw Intelligence00:43:01 Reinventing Pre-Training, RL, and Curriculum Design00:52:33 Low-Precision Training and Squeezing More From Smaller Models00:58:37 Model Harnesses, Coding Agents, and the Path to AGI01:09:26 Why MCP and Traditional Tool Calls Are “Stupid”01:13:04 Vision, Multimodality, and Why Language Still Matters01:18:15 Scaling Models and the Real Economics of Training01:20:40 Why Poolside Is Called Poolside and Raising $500M01:27:37 Open Models, AI Safety, and the Risk of an Oligopoly01:33:53 NVIDIA, TSMC, and the Reinforcement-Learning Bottleneck01:41:52 Smaller Models, Distillation, Engineering Productivity, and HiringTranscriptIntroduction: Eiso Kant, Poolside, and Open ModelsSwyx [00:00:00]: All right, we're here in the studio with Eiso Kant from Poolside, together with Vibhu. Welcome.Eiso Kant [00:00:08]: Thanks. Thanks for having me, guys. Good to be here.Swyx [00:00:10]: Yeah, fresh on the plane. You texted me, you were like, “Hey, I'm on my way to SF.” I was like, “You're on a plane right now, right?” Like, hey.Eiso Kant [00:00:16]: I know. After I texted you, I realized that probably coming in with major jet lag was gonna offer some fun experiences today, but let's do it.Swyx [00:00:23]: I mean, I think the thing I would tell guests is that they don't have to prepare that much because if you're truly working on this every single day, then even, like, what you hazily remember is going to be new for a lot of the audience that don't live in your world every day, right? so 10 years ago, you did a talk at Google Slush, talking about the democratization of AI. and, now here you are, like, open sourcing an incredible new model that we're gonna talk about. But I guess, like, what got you into democratization of AI? Like, it's not obvious from your LinkedIn or something.From Karpathy's RNN Post to SourcedEiso Kant [00:00:57]: No, it's not at all. I don't think it's obvious how I got in this space. I owe getting into this space to Andrej Karpathy.Eiso Kant [00:01:05]: In 2015, he wrote an article called “The Unreasonable Effectiveness of Recurrent Neural Nets.”Swyx [00:01:10]: Neural Nets, yep.Eiso Kant [00:01:11]: And that article, I read it, and I pivoted my startup at the time overnight to working on RNNs, and later LSTMs and Transformer models to be able to write code. If you go to this article and you scroll down, you can start seeing, like, this was the precursor to what ended up becoming language models. So, at least when he was character-level language models that were starting to predict letters, he has an example out here. There's a little Paul Graham generator, and you can read it, and the text makes sense, but it doesn't. and there's a little-- There's an example of code a little bit further down. Yeah, so Shakespeare.Swyx [00:01:47]: Shakespeare.Swyx [00:01:49]: CoolEiso Kant [00:01:49]: And for some reason, I read this, and I went down the rabbit hole of learning everything I could about RNNs and LSTMs, right? This is Transformer paper. And I had built a completely unreasonable belief, that neural nets should be able to generalize to anything and everything, and that language should be able to generalize, to a lot of things that are intelligent and the ability to write code. And so I started building Sourced, which was a fully open source company trying to build, what we used to call machine learning on code, language models on code. And we spent about four or five years on this, till the end of 2019. And that sounds really cool today, but back then, no one cared.Eiso Kant [00:02:29]: Right? Like, no one cared. We were in the dark. Like, we did things along the way. We tried applying convolutional neural nets to, like, the structure of code. We were. when attention came out, we were applying it to LSTMs, and then the Transformer paper came out. And it - it wasn't obvious, and what we missed throughout that entire journey, that we were on the right track, but we should have just kept scaling up. And today, to all of us, the scaling laws and scaling up seems like the most obvious thing. But having spent four or five years of my life on working on language models on code, it wasn't obvious. So I have a lot of respect to folks at Google and OpenAI and others who took that confidence and kept going. we failed ultimately at the time, and it was, like, biggest failure of my career, right? You blew $12 million of investors' money, which was a lot back then.Swyx [00:03:18]: Yep.Eiso Kant [00:03:19]: You spent, still a lot, but, And you spent years with, like, a group of 40 people just obsessing over this problem. And life took a different turn, And it was, and family became a focus, and I kept my heads down and really, didn't really look at language models for the following two years. big mistake considering Following years are gonna be really interesting. And then ChatGPT came out And it was like a vindication. It's like people started texting me. I found, like, my old, work decks and these old talks. And throughout that whole journey, we,ChatGPT, Vindication, and Returning to Open SourceEiso Kant [00:03:56]: We really had a strong point of view at the time that, like, as you're building more capable intelligence, it should be open and open source.Eiso Kant [00:04:04]: When we started Poolside, that wasn't the case at all, and I wanna be very open about it. When we started Poolside, we were like, there was a premise of two things. One is this technology is not gonna stop compounding in capabilities. I think to most people obvious today, but three-plus years ago when we started, most people were still arguing if these were stochastic parrots or not.Eiso Kant [00:04:23]: And the second was that reinforcement learning was gonna be the biggest driver for LLM capabilities. Today, very obvious. Three years ago, was not an opinion held or direction held at either OpenAI or Google or Anthropic or others. And so people looked down on us a little bit. They were like, “ is this really gonna work?” And so we just started working the problem, and we never really thought about open source again. We just kept our heads down and we built our, like, knowledge, understanding from scratch, right? We didn't roll out of an existing lab. So we picked up the papers and started writing code and figuring things out.Eiso Kant [00:04:59]: And it wasn't until the beginning of this year that me and my founder, Jason, picked up the open source conversation again.Eiso Kant [00:05:07]: And if you go back to some of the early things on our website, it was very straightforward. It was we wanna get to AGI, we wanna support a world of abundance, and we wanna be the first company that gets there.Eiso Kant [00:05:20]: But we started talking at the beginning of this year because it became obvious that the world was going in a direction that was starting to like, pick at us a little bit. Like, it didn't, this didn't happen overnight. It was, like, a little bit we were seeing this and we're like, “Okay, The world's going down a path.” And Throughout this journey, there was something that I used as a, as an analogy or thing. So I said well, if I go back to back in those days, 2015 or 2016, we're working on this, and I picked up a fi book off the shelf, and I was reading the book about 2035. AGI is achieved, and the story would be over the following, decades. And it would have that first chapter where everyone's trying to figure things out. You'd get the chapter of ChatGPT coming out And then you would get to the chapter where the world was at a fork in the road, and the one that it picked was one where three or four or a handful of companies were going to create all of intelligence moving forward.Eiso Kant [00:06:21]: And when I thought about that story, it felt like a dystopian fi book, not a utopian fi book. And the reality is, I'm a utopian fi guy. Like, and so We took a step back and said, “Hey, can we play a role here?” Now it was easy for us to do so because we were not at the frontier.Eiso Kant [00:06:41]: If we were at the frontier, I don't think we could have changed our mind. and I don't mean this like it's when the moment there's too much capital involved, too much expectations, you've built up things, right? We're a small team, just improving and improving. And so we knew that we could make that decision now, but it would be a lot harder to make as we got closer and closer to the frontier and caught up to others. And did a lot of soul-searching and a lot of conversations, and said, “No, this makes sense,” Even if there's big unanswered questions, like how the hell do you build a business model with foundation models about open source? Big open-ended question that we do not fully have the answer to yet, right? At what point do you no longer wanna release open source models because misuse of models has, real potential risks associated with it? how is the government gonna respond to open source? but I think it all just came down to one thing, and I'll stop the monologue, is the fact that I rather live in a world that has 100 foundation model companies than a world that has five, even if I was one of the five. And the smallest and most meaningful contribution we can make for 100 to exist is to open up our research and open up, like, our weights right now and figure out along the way how we can, like, do more.Neo-Labs, Model Choice, and the Token EconomySwyx [00:08:01]: Yeah. I think if anything, over the past three years, that has become a bit more true. you are one of a cohort of Neo labsEiso Kant [00:08:10]: YeahSwyx [00:08:10]: That people are now calling that. And, we're, we're doing this on the day that Thinky launched their, new model and you are outperforming them on their, on some benchmarks that they released, right? Like, they just don't have it yet. so it goes to show that I think, like, this is one of those things where, like, there is room for multiple players, and you are seeing a little bit more of the future. Maybe more like 20, not 100, but, like, you are one of the 20.Eiso Kant [00:08:36]: I really hope so, right? I think we I'm, I'm excited about their release, and I'm excited about everyone releasing because, like, ultimately, like, choice competition is both gonna drive progress in the right direction. But the fact that like, we create models and while we all, drink out of the same well of data effectively, we do introduce very different behaviors and biases in our models. Some are intended biases, some are completely unintended biases.Swyx [00:09:03]: Yeah.Eiso Kant [00:09:03]: And if we shape up in an ecosystem in the world where open models are gonna be a part of the token economy, like, I don't think there's any question about it anymore Then we want to be able to live in a world where companies, countries, people can choose and say, “Hey, I am most aligned and I trust most this provider for these things.”Swyx [00:09:25]: Yeah.Vibhu [00:09:26]: I think more than just one of the 20 Neo labs, up until recently, most of open source innovation was coming from the Chinese labs, right? So there's the DeepSeek of the West. Is it today? Okay, maybe it's thinking machines reflection, but there aren't many, right? So, one of the things you guys started in France, Europe, but very much now you're taking that American standpoint and more than just that, the point is the Chinese models that we see, they're not super open research. the work you put out is, I think, some of the best. So every few months you get not only frontier models, but also here's a breakdown blog, paper, technical report of here's everything for state of the art to build, frontier intelligence and you're filling that gap too, right? So not just only open weight, not just Western, but also pretty open research.Open Weights vs. Open ResearchEiso Kant [00:10:20]: No, I appreciate it. Look, I think it's, I think it's the most meaningful contribution, right? Weights are a binary. Let's call them what they are. Yes, we can modify them, we can change them, but, like, giving someone the weights does not allow them ultimately to recreate what you're doing, right? And so now there's challenges around releasing data sets, challenges around like releasing certain things, but being able to share your research, like, right, how do we do it? What are the lessons we learned that we spent, tens of thousands of experiments of compute on? I think very much so. One correction though, Vibhu, and I say this because it's been haunting us for quite a few years. We from day zero were an American company.Swyx [00:10:55]: Yeah. They movedPoolside's Global Team and American Company StorySwyx [00:10:56]: To France.Eiso Kant [00:10:56]: So the story once and for all is very. We start as an American company. We have always been an American company, and early on we made a very conscious decision. We said, “We're not gonna hire any researchers in the Bay Area. We're gonna look for talent everywhere else in the world.” and that is everything from Middle Americas, Seattle to, Serbia, and to Taiwan and Singapore and other places. And it was because we took a view that this was gonna become a talent war for this, and I think it has over the years now. Three years ago, that wasn't fully obvious yet. I think today it very much is. And we also realized that, like, some of the world's most capable people with, like, the most interesting, innovative ideas were not just gonna be here. And so it led us to create like a fully remote company. and we ended up opening an office in Paris and London and different places and we have a lot of the team in the US and a lot of team outside. But we always took this view of like, we're an American company, but if we want the best of the best to work with us, we need to take a global view. Now we do also have people here in Silicon Valley, like the company's grown and others, but I think one of the things that, it slowed us down at the beginning, but it has sped us up now, and it's why you're seeing like the progress, I think, on our models and the cadence at which we release, is because we didn't roll out of an existing lab. Right? we didn't, we didn't have a lot of the information that's freely flowing around here at the time. We just took this point of view as like, “Okay, well, let's just work the problem. Let's just go and, like, read the few papers that are out there, and let's just figure this stuff out.” And we made some hilarious mistakes in model training because of that over the yearsEiso Kant [00:12:35]: Like especially in the first 12 months. there's a few that I think still haunt me and scare me. We can talk about them later. but it created a, like, a resiliency and persistency in the team, right? with extremely few people have left us over the years, that, like, told us, “Okay, we can do this.” When we first wrote our first training code base completely from scratch, it wasn't a fork of any open source. It was just like, “Okay, let's build it from scratch.” I remember we had this one moment where we spent three weeks working out an optimizer bug. Like, it was like training just couldn't get stable. We, like, obsessed over it, and we thought, like, maybe we were wrong. Maybe we should have just forked this repo, or we should have. But then when we solved it, I still remember at the time we were like five people in the company. when we solved it, we were like, “Oh, we can do things,” like if we're just willing to work hard. and I think that culture with a very strong engineering bias has helped us, like, get to where we were. And so there's this notion of open source and talent and these things. I think we, We just took different decisions from a different starting point. and I think we are lucky. I do want to definitely call it lucky. And there was a lot of hard work at the team that now, like, that's starting to show up in results.Swyx [00:13:52]: Just ‘cause we probably won't revisit this again, but, and this is a fun recruiting challenge if someone knows the answer. What was the bug? And then we won't tell the solution, but we'An Optimizer Bug and the Value of Building From ScratchEiso Kant [00:14:01]: So the - This - You're gonna test my memory here,Swyx [00:14:04]: Oh, okayEiso Kant [00:14:04]: So but I thinkSwyx [00:14:05]: DirectlyEiso Kant [00:14:05]: I think I can recall. So if you, so if you look at, So if you take like Adam as an optimizer, you have epsilonSwyx [00:14:12]: YeahEiso Kant [00:14:13]: Which is, right, like in the denominatorSwyx [00:14:14]: Momentum and weights. YeahEiso Kant [00:14:15]: Is exactly, in the denominator. And at the time, if I recall, you looked at like the early Llama papers and things like that. People were juicing epsilon, like, quite a bit. Like, they were, like, adding, I don't know if it was E minus four or whatever, like a high value for epsilon.Eiso Kant [00:14:31]: And if you think about this during training, it's like a bit weird and counterintuitive that we're adding noise to our optimizer by just adding effectively, like, a random number in the denominator, right? Like behind the decimal point. And I don't recall the exact bug, but it had - What I remember is once we solved it, we no longer had to juice epsilon as much as, like, was happening in the Llama paper and other places. and it was like one of those fundamental moments where we had trusted this paper that was out there, and we're like, “Oh, no, it has to be this way. It has to have this high value of epsilon.” But it made no sense to us intuitively. Like, why do you have to have this so high? Like, if you're just trying to avoid division by zero, why can't the value be extremely small? and that was like one of those moments where you realize like, okay, finding things out from scratch yourself builds a better intuition. Because the one thing you learn very quickly with model building is that your intuitions that you start with are gonna get beaten up so hard.Eiso Kant [00:15:33]: Right? Like - It's such an experimental science, that the things that seem obvious, you very quickly get to learn, like, you were wrong, and hopefully you figure out why, and sometimes you don't even.Swyx [00:15:45]: Yeah. yeah, so, one of the reasons that you, when you released your new models, Vibhu got really excited. I mean, everyone got really excited. But Vibhu led our paper club on it, and you guys sawEiso Kant [00:15:58]: YeahSwyx [00:15:58]: Obviously. maybe talk through some lessons learned in that, whatever you can disclose. we can focus on the model factory stuff, whatever you think is a good starting point.Model Building as EngineeringEiso Kant [00:16:08]: So I would say that our view from very early on in the company was that model building is ultimately 90% engineering.Eiso Kant [00:16:18]: And I think we all know it in the industry because if you look at where's every researcher spending their time, they're spending their time writing code, right? Looking at data and writing code. And so we said, okay, The state at the moment, like three years ago, was bash scripts and Slurm and spaghetti code bases for training and, like, data pipelines that were patched together. And we looked at this and said, “Well, ultimately, model building is a process.” You're going from raw data, right? Like training raw material, the web, et cetera. you're doing a whole bunch of filtering, cleaning up, transformations, analyzing. These days, that's, far more complex than it was three years ago. then you're training a model, which is effectively a large distributed systems problem, right? Across hardware that has still-- It's become a lot more reliable. It was extremely flaky back then. and now with every new generation, we get our new sets of challenges. And then you go into the next stages, right? There was no training back then, but, like, you got, your post-training and then your reinforcement learning. And so we looked at this and we said, “Well, this looks like an industrialized process. This looks like an end process, that every single part of it has its machinery,” right? If it's your big data pipelines, if it's your crawling ingestion of the web, if it's your, large-scale distributed training, and then you've got your reliability. And we said, “Well, why don't we take some of the world's smartest distributed systems engineers that we knew and make them part of the process of research from day zero?” Not retrofitting it later on, but, like, really from the beginning. And that became our model factory. And so our model factory started with a handful of components. Today, it's thousands of components, and I try to equate it to, if you think about, like, someone who was at the very early days of Foxconn, if they had been there for the following, decade, they would be able to rebuild Foxconn because they saw every decision that led to building that system and all the complexity. If you and I walk into Foxconn today, no chance.The Model Factory and Experiment VelocityEiso Kant [00:18:18]: Right? Because we don't have the lineage and history of decisions that led to that. And so we built early on from the beginning- with a team that really understood that, well, the metric that we are optimizing for is the speed of an idea from a researcher to an experimental result that we can trust to then being part of the next model training.Eiso Kant [00:18:42]: And in the. And because it's such an experimental science, ultimately, in the beginning when it wasn't that complex, you could patch your way around it, right? But now, at any foundation model company, you are running. I mean, we're a small team, right? We're less than 70 researchers, another 35 engineers. and we are running, I haven't checked the latest count, but far more than 10,000, maybe 10 to 20,000 experiments a month that we cut. And so if you look at that scale of every model run that is, like it's ultimately it's, it's you need to be able to trust it as an infra problem. And so what we have now done over the years is gotten really good at that, and just by working it and improving it and obsessing over those end decisions. So now what that means is that you looked up Laguna XS 2 that we launched. It was five weeks from the beginning of training to launch. The model that we're gonna talk about today was eight weeks from start of training, to launch. We started the next model literally yesterday because we now finished the post-training required for the model we're launching, next week or by the time this comes out today. and we move that compute to the much larger Laguna M model that we're now training. And so the model should be an artifact of someone's process. It shouldn't be really a thing in itself. Like, and we treat this like the way you would look at like a SpaceX factory where, yes, the first rocket, really hard to build, but the much harder challenge was building the factory. And now they're rolling off, and no one is really thinking about the next launch anymore. So it's just another launch, it's another launch, another rocket comes off. And that's what we're trying to do with model building.Eiso Kant [00:20:22]: And what has been, which was not planned from day zero, it was in the back of our mind like this will happen one day, is that when you build a really good end model factory with really good APIs and really good engineering systems, Well, what is it perfect for? It's perfect for agents.Agents Inside the Model FactoryEiso Kant [00:20:40]: Because agents are now starting to take over more and more work in our model factory.Vibhu [00:20:43]: Yeah.Eiso Kant [00:20:44]: So I look at the screens when I walk, like when we're, we come together, in our monthly, we do monthly onsites, and I walk behind people's screens and I stop by and I talk to our researchers. And the default is all of these different agents running on their screen that are writing the code. They're launching the jobs. They're evaluating the results that are coming back from the model runs. They are, making the changes. And we're still in the driver's seat. We're still coming up with the ideas. We're still helping with the debugging. But more and more, and this is right now very profound on the data side of our pipelines in both pre and post and the synthetic data pipelines, it's starting to become more on the architecture side as well. You're starting to see these twinklings of what RSI is gonna look like.Eiso Kant [00:21:27]: And that's. So when we talk about, like to your question about our models, every talk about the model factory, And my coolest example of these things is always that when we kick off a new run, doesn't matter if it's a training like big run or if it's now a post, like one of 10 post-training versions we do for like release or many experiments, is that at any given moment, the changes that somebody made that they had experimental results from the day before make it into that run.Eiso Kant [00:21:57]: So there's not like a cutoff 90 days before. Like no, it's like literally from that moment because we can now trust the machine enough. And then you also have to invest in the reliability. So one of my favorite metrics about like Laguna S is that there was no call events, Right? Like completely zero. And we haven't had a meaningful call event, like something to wake up for, as far as I recall this entire year. now there is one asterisk to that. In usually the first six hours of launching a new model run, something breaks because you set a config wrong, you made a small mistake, et cetera. So that's usually there's a little bit of intervention, but that's always within like call periods, right? Not on call. And I think that's starting to now compound. So the model we're releasing now, I love it. It's amazing, but we're already onto the next one. and I think that's the way it should be.Laguna, Five-Week Builds, and Zero On-Call EventsVibhu [00:22:50]: Hey, I also just wanna point out, so for context, this was like a month ago. we found it in the tech report, so we just came in with, “Okay, new model's dropped. Haven't heard about it.” We wereEiso Kant [00:23:02]: Yeah, we're very used to doing this every few months.Vibhu [00:23:03]: We're, we're very much like, “ okay, look, it's like, on par with Kimi, DeepSeek, whatnot, the small ones, Gemma level. Oh, it's a very cool paper on what goes into building.” And then we hit this page, right? Like literally page two of tech report is, “This process allowed us to build the small model from scratch to delivery within five weeks applying the lessons”. And then I'm like, oh, this paper is not about here's a tech report of benchmarks and here's how many tokens it was trained on. Like for people that wanna dive more from what we're not gonna discuss on the podcast, it's all laid out here, right? FromEiso Kant [00:23:38]: YeahVibhu [00:23:39]: Custom software that agents can use to interface with training code, training data.Eiso Kant [00:23:45]: Yeah. Well, link the paper correctly, so yeah.Vibhu [00:23:47]: Yeah. All that stuff. read the paper here, but,Technical Report Principles and Streaming Training DataEiso Kant [00:23:50]: But I would like to. I love principles, and I think that is a good starting off point for maybe telling some stories. Maybe we can go one by one past the principles. I'll just call out that Dagster just got bought by a Prefect.Vibhu [00:24:01]: Yeah.Eiso Kant [00:24:01]: Isn't it fun? But yes, I'm very familiar with Dagster. just anything where like they trigger some story.Vibhu [00:24:07]: So, well, I would say, well, experiments code's obvious, but I think one of my favorite things is, I don't know where it is in here, but early on, and I still think this is the case a lot of foundation model companies, people prepare their training data sets, they get packaged up, then they get copied over to a training cluster distributed across all of the nodes, and then training starts.Vibhu [00:24:30]: And we looked at this like three years ago and we were like That makes no senseEiso Kant [00:24:36]: You lose so much time because the moment you have to rematerialize the data set, you have to make a change, you have to fix something, et cetera, you've got all this time of like repackaging it, right? Toca- tokenizing it, repacking it, moving it over to a cluster, then distributing it across the nodes. The bigger your clusters are, you start using fancy like torrent-like algorithms to like distribute your data. So why aren't we streaming data into training? Right? Something that's very common and like just basicVibhu [00:25:00]: Like just in timeEiso Kant [00:25:01]: Just in time, like good computer science like principle. And that was one of the first things that I think unlocked - the model factory. Because the moment you start thinking about, well, a training job, it doesn't matter if it's a big hero run or a small like, post-training experiment, consumes a certain number of tokens per second, right? And it's not a lot, right? From a like a data, moving data perspective. So we said, well, we have our training cluster, and then we've got like our AWS kinda setup where we can build these amazing big data pipelines. We can set things up. We use Spark underneath the hood, like all these things.Vibhu [00:25:36]: But when you say AWS, it's not actual AWS, it's your internal AWS.Eiso Kant [00:25:39]: It's our internal-- No, it's our internal like just running like our infrastructureVibhu [00:25:42]: Site web servicesEiso Kant [00:25:43]: Exactly. Our stuff running on like an AWS account or on like any hardware, right?Vibhu [00:25:47]: Yeah.Eiso Kant [00:25:48]: And so once we made that shift into I can stream data into training, all of a sudden you realize a lot of things unlock. Because now you don't have to wait for the whole data set to materialize.Immutable Data, Experiments as Code, and Scientific RigorEiso Kant [00:26:00]: You now all of a sudden when you're running data experiments about mixing data, it's a config. Because you've got these data sources that are coming in, and you just - we have this service called Blender that's in the report, where we then say, “Okay, for this run, I want 20% of this source, 10% of this source. I want this much, so many epochs of repetition. I want this to be, shuffled in a certain way,” and your training job can start while the rest of the data is even still materializing. also what it does is because all of this underneath-- So for us, we treated the data layer underneath as like an immutable data layer, and that was really important. Like experiments as code, immutable data layer means that you can always go back and understand literally down to the single token at which cursor it went in on which version of the code.Vibhu [00:26:47]: Yeah.Eiso Kant [00:26:48]: And it took us a I have to admit, like the first year of Poolside, we understood that engineering had to get great, But we didn't understand yet, that this is ultimately in support of like a good rigorous scientific progress. We were quite a - We were a very small number of people, so a lot of it was YOLO ideas and YOLO runs.Vibhu [00:27:08]: Yeah.Eiso Kant [00:27:09]: And we built great infra for the YOLO runs. But once we realized that we treated data as immutable and code as always versioned, and you could always track and trace every experiment end to end perfectly, you could repeat everything perfectly, right? You have perfect reproducibility. I can still reproduce runs from two years ago if I wanted to, right? It enables the scientific progress, like the scientific process, and I think that took us probably about a year and a half into the company to figure out. We also had some great hires, like our head of applied research, Nikolai, who joined us from Yandex, who'd been working on language models since like the early 2020s, I think brought that into the company of like, “Hey, we wanna have even more rigor.” And then once we kinda had the combination of like increasingly more capable platform that allowed people to do more, but had this immutability, we were able to start “Okay, every experiment is truly an ablation. We truly need to understand it.” And I think we became much more scientifically rigorous in the last couple of years, and the infra underneath enabled it. and then there's just fun stuff like, andVibhu [00:28:16]: Yeah, a lot of it's fun, like even just the, one, you share all the ablations, two, picking the data sets, right? There's like a random small paragraph in here where it's just like, “Oh yeah, training data, we have some, we have an auto mixer.” it trains eight small models, scales them up, picks the training data set. We don't even need to look at it. I'm like, “Wow, a lot of engineering rigor there.” And there's just, there's just a lot in here.Publishing Research and Giving BackEiso Kant [00:28:40]: Yeah, and it'- and look, and we wanna put out more. Like we, We treat writing papers as something that we haven't earned the right for yet for a long time. So you earn the right to spend time, publishing research once you're at the frontier, because until then, you're catching up, and every minute and hour in this industry matters. Like I obsess over it, not just the wall clock time from idea to result, but just general like time every day that we, waste is one that doesn't allow us to catch up. But in this case, we said, “Okay, we're gonna give ourselves.” I think we gave the team like three or four days while still doing their work, like give everything in there. And to your point earlier, if your stuff, it's easy to like put it out. And so there's so many more things that we wanna talk about over time, and we will definitely start doing. And as we earn more of the right, but also now have like added to our mission that we want more foundation model companies to exist, you'll see us like be way more proactive, and just trying to keep dropping some of those like things that we've learned along the way that can help others like speed up.Vibhu [00:29:40]: Which is the other cool side of this, right? It's, it's not like, back to your point, it's not just here's the benchmarks of our training. If you want to replicate, here's experiments of optimizers, data sets, post-training. you lay out a lot of it here alongside here's your system for how to do it? So it's, it's really like promotingEiso Kant [00:29:59]: No, thank youVibhu [00:29:59]: Other people can do the same.Eiso Kant [00:30:00]: And by the way, I also wanna make clear, right, we have been incredible-- Like we've taken a lot of advantage of the fact of all the open research that others have published, Right? And you mentioned, the Chinese labs, and we I think it's important that there's, from every country and every culture and background, including like Western companies like us, there's different models that come out that people can choose to trust. But I think we do have to give credit where credit's due, right? The incredible Chinese lab have done an amazing job at sharing their research, and we have definitely like been on the receiving end of taking advantage of that. So when you're on the receiving end of something coming to you, I think it's, you also have an obligation to give back.Swyx [00:30:39]: Do you have a favorite or underrated Chinese lab that you wanna shout out? Everyone shout outs DeepSeek.Chinese Labs, Zhipu, and PersistenceEiso Kant [00:30:44]: That's a good question.Swyx [00:30:45]: Moaan obviously for Therapsi. Yeah.Eiso Kant [00:30:48]: Yeah, look, I think, I think obviously everyone's been talking about Zhipu lately, with 5.2. I think what most people don't realize is when they started.Swyx [00:30:59]: Yeah.Eiso Kant [00:30:59]: Right? They started years before ChatGPT.Swyx [00:31:02]: They just rebranded. YeahEiso Kant [00:31:03]: And so, I've like, I remember how hard it was to work on these things Before the rest of the world got excited about it. And so I have an immense amount of respect for people, who were working on improving models when it wasn't the sexy thing to do, when believing in LLMs, was gonna get you ridiculed. I remember like back in 2016 when we were doing what we'd call, machine learning on code with some of these models. we would-- people would just laugh at us, like they'd be like, “This makes no sense. Like why are you wasting all these, like, millions of dollars on trying to figure this out?” And so I would say they're probably the one that, I think deserves a shout-out, not just because their latest model is very good, but because they fought to get here. And I think, I think every foundation model company it takes time to get here, right? It took us three years to get to the model that we're, that we're now gonna be releasing. and now the time in between the models is coming, is counted in weeks. It's no longer counted in months or years. But this stuff's hard. and if we can make it a little bit easier for the next person, like we should all do so. Because if we don't do so, we're, we've got a small window before models are really impacting recursive self-improvement to a level where catching up otherwise might become unfeasible. And we should try to, in that window, encourage as many labs or however we wanna call them, like to start. And so one of my currentEiso Kant [00:32:36]: Mission, but qualm is like I wanna encourage whoever is a researcher right now who thinks they can tackle this to go and leave and become my competitor.Eiso Kant [00:32:45]: Like start another foundation model company because I think we need it. I think otherwise we're not gonna be in the world where, I don't want to just be the fifth or the sixth company that wins. I wanna look at a world where there's lots of choice.Starting a Foundation Model CompanyVibhu [00:32:57]: What else do people not see in starting a foundation model? it's, there's a lot of compute, there's a lot of capital required, a lot of compute. You lay out model factory and how to do the training, but there's a lot there, right? That's,Eiso Kant [00:33:10]: Well, look, it's, I in turn-- this is an oversimplification, and I always asterisk it with that because it can land a little bit the wrong way in people's minds. But I think you can sum down, And I saw it, 95% of model building to just doing, you're just doing two things. You're improving data or you're improving compute efficiency. And I know that feels like an oversimplification for the incredible, like, Gifted and skilled work people do. But if you really look at it, like what are we doing? We are looking at data, we're generating new data, we're improving data. and the only way to do that is to look at the data, right? That's a big part of foundation model building. And on the other hand, we come up with these incredible breakthroughs in inference, in architecture, and new attention mechanisms. But what are they really doing? They're bringing compute efficiency. Now, we have definitely had some breakthroughs over the years that allow for more model capabilities. But at the limit, if you could train a large enough model, right, like, and you had infinite compute, we probably-- if you had infinite compute, you'd be at AGI probably already tomorrow.Eiso Kant [00:34:12]: Right? Like it's not. And so, and let me say that infinite compute with infinite ability of much faster networking because networking ends up being more of the bottleneck than compute. But, so I do think that's, those are the main things. And to just realize that this is engineering. I think it's become more obvious, but I think for quite a few years, people have held foundation model companies and researchers and others on this pedestal of like you're doing incredible magic or rocket science, or only like, Nobel laureate physicists can do this. And don't get me wrong, there are some really hard problems that need to be solved, but a lot of the work that all of us are doing on a day Is not sitting down trying to solve a math theorem. A lot of the work that we're doing is just really doing the basics right, writing good code, looking at data, improving it, running experiments, looking at plots, trying to see like, hey, trying to shape our intuitions. And a lot more people could be highly capable researchers. and I think that's, it feels far for people to do so. But I've seen in our own company, we've seen engineers become researchers because the model factory allowed them to be, have a much lower hurdle of running experiments and trying things. And one of the guys on our team who started as an engineer building our agents is a legit reinforcement learning researcher now, making real progress. and that happened in the span of like six months. that would've not been what I think most people assumed was possible, a couple of years ago.Swyx [00:35:46]: Yeah. I think one of the interesting moments is when you can self-host, like, if in a programming language, like if you can compile the language in the language, the equivalent is can you use your own tools, right? You have the pool CLI, you have your own models. presumably you're not only using your own models. There's no way. But like, what's that percentage over time?Laguna S, Persistence, and Behavioral GainsEiso Kant [00:36:10]: This is the first model that we're releasing that is starting to meaningfully contribute to our own work. It's not a it's not state-art model yet. Fable and other, they're, they're very capable models, but Laguna S Is really interesting. I'm gonna pull up the quote. Peng Ming, one of our heads of applied research, said something, last week as the model came out about 10 days ago, much better than we had hoped for or expected. And he said, I have the feeling that a lot of the gains in Laguna S come not from more intelligence, but more from different behavior, more verification, less taking things for granted, not declaring victory early, and being way more persistent. And to be honest, those are more predictive than raw intelligence for success in human also to some degree. And this was, he wrote me this on 5th of July on a Sunday, and it's been burned in my brain ever since because the Laguna S model, as you'll see it and why it does so well on benchmarks and why it does so well in using it on a day basis, is that it's just incredibly persistent. It reasons a lot. I do call that out. We have work to do on making it more efficient. We have to work to do on offering different reasoning modes. But this is the model that has been able to do things that I never thought it could do. A hundred eighteen billion 8B active model, which is not that large. It fits on a DGX Spark and still runs at, thirty, forty tokens a second on a Spark, is able to solve Erdős 397 independently. It's able to do complex programming tasks. It's able to. I asked it this morning to make me a Fi scanner without using any external libraries on my Mac, and it's, like, figuring out, like, the core WLAN API by really persistently trying to understand it without access to the internet. And more, I love vibe checking. I've probably spent eight to ten hours a day with this model for the last ten days.Eiso Kant [00:38:05]: I'm not exaggerating. I was on my eleven-hour flight yesterday. I spent ten hours reading trajectories and traces and, like, of the model.Eiso Kant [00:38:12]: And what I take away from it is exactly what Peng Ming said. We are gonna be able to squeeze so much more out of smaller models than I think we had imagined in the industry because, yes, there's intelligence and larger models are more intelligent. Like, no doubt about it. We should continue to scale up. but the behaviors of being really persistent, of being able to backtrack when you're wrong, of, like, understanding how to interact with your environment show us that we can get a lot more out of it. And this, for me, has created a bit of a Question in my mind the last couple of days. If you think about where we're using models today, right? We are using models, say, for knowledge work. Represents twenty-five percent of the global economy, twenty-five trillion dollars of work.Eiso Kant [00:39:00]: As we scale up models and they become more intelligent, we are excited about using them more and more for pushing the frontier of science.Small Models, Knowledge Work, and CommoditizationEiso Kant [00:39:08]: And if you look at the frontier of science, like true breakthroughs in science, they have been linked, they are linked to more intelligence in many places. Einstein figuring out general relativity is able to bring ideas together that other people would have not brought together. And I think one of the many dimensions of intelligence is the ability to do that, and it's something we clearly see that as models get larger and more capable, they're able to pull more ideas and threads together that a smaller model wouldn't be able to.Eiso Kant [00:39:36]: And we're starting to see examples of that in medicine and, like, in bio and other things. But if you think about the majority of knowledge work that we do, and it includes building software. I'm a software developer at heart first and foremost probably, although I probably can't say it that much anymore as I don't write production code in years, is that what makes us good is our persistence. It's our ability to encounter a problem and backtrack and say, “I need to go figure out this bug. I need to go research this. I need to go look at the documentation. I need to, like, try different, five different ways to see, like, if I can solve it.” But it is not necessarily bringing three ideas together from radically different fields. And so if we are now seeing, and I think Laguna S is an example, that we are able to make a relatively small model much more capable than I had definitely predicted or any previous, like, benchmarks had shown for any model remotely this size or even larger, At least on coding tasks, that it's because of the behaviors. And so now the question I have, and I don't have an answer, it is I know at the limit, so infinite model size, right, extremely large model, and the cost of that model is gonna be very expensive to run. We know this, right? So larger model ROI.Eiso Kant [00:40:52]: So I know that at the very limit, I'm not gonna use the world's largest model one day, quadrillion parameter, whatever crazy, like, scale we scale up, to do a basic coding task. Already today, I'm starting to size down for certain tasks.Eiso Kant [00:41:07]: So it means that there is an optimal. It means there's some curve that goes as we go up to model size for knowledge work, at some point we're at the peak, and after that, the return on investment of using a bigger model, just doesn't make sense.Eiso Kant [00:41:22]: Now, I think the question is, before I would have thought that peak was extremely very far away.Eiso Kant [00:41:30]: This model for me is the first sign that Maybe that peak is At a trillion, five trillion, ten trillion. Maybe we can just squeeze way more out of these models. I'm no longer thinking that we need two or three orders of magnitude on the largest models to be able to, solve knowledge work, the accounting, the legal, the code that we write. And so if that holds true, It is an argument for the commoditization of models. It's an argument that open source can win and, like, succeed in this world. And now it's of course a self-serving argument and it's a hopeful argument, but theoretically at the limit it works. We just have to go discover in the next couple of years of how much more we can squeeze out. Now, I do want to put a big asterisk. This does not mean I'm against scaling models. I think we ultimately only succeed if we scale our models as large as our competition. I do not like. I think we should not put our head in the sand and say we're gonna be king of open source small models. I think that's, It's a out. It's trying to be king of your own kingdom, but not realizing what the rest of the world's doing. All of us rather use a smarter, faster, more model. It's a sign of hope. And so I don't wanna overly state this is a good model. We have a long way to go to get to the state-art. But what hopefully people take away when they use this model is that the behaviors inside of it are what push it to be far more capable, less than necessarily the number of parameters.Pre-Training, Mid-Training, and RL Moving EarlierVibhu [00:43:03]: Is that mostly post-training? LikeEiso Kant [00:43:05]: YesVibhu [00:43:05]: Right.Eiso Kant [00:43:06]: It's entirely post-training.Vibhu [00:43:08]: Are we done improving anything on training? Is, like, training done?Eiso Kant [00:43:12]: No.Vibhu [00:43:12]: Okay.Eiso Kant [00:43:13]: SoVibhu [00:43:13]: I just wanted to cover training, and then we go post-trainingEiso Kant [00:43:15]: Training is not done. I mean, look, there's a part of training of just dealing with skill, right? Every new order of magnitude of model skill, you are going to get new things you gotta solve for. That'- but those are ultimately, engineering challenges.Eiso Kant [00:43:31]: I have a, I would say, a not commonly held opinion that reinforcement learning Will move earlier and earlier into training.Vibhu [00:43:42]: Yeah, training.Eiso Kant [00:43:44]: Not even training. Like training today, right, is, like if you look at - So we've been working on this for years already. and I think the best-- I think the first time we saw it out in public was the DeepSeek Zero paper. this is a year and a half ago, I think, if I recall correctly. where, you can Very early on in a model as it starts capable of being able to use language, et cetera, induce reasoning. and so the question that I have is like, we have this- we have the dataset that's the web. and the web, I think we could arguably say probably has The totality of humanity's knowledge somewhere encoded in different places. It's a huge variance degree of quality, from garbage data, and like once you look at training data, you really get humbled of like what the web is, to like, the most greatest scientific papers and best blog posts and like, best transcripts and whatnot.Eiso Kant [00:44:39]: And so now What we are trying to figure out, and have been doing a lot of work on, and it's a place where maybe not as open as we're on other things, but we will become more over time. we've been spending a couple of years really doing research on how can we turn the web into not just next token prediction, but into a way to teach the model to think earlier in its training. and I think there's a huge amount of gold to be found there. I think we are right now in, we've got some drugs in the industry. One of the drugs is distillation. Another drug is, more environments. Like, and they're great, and they make us feel good, and they make the models better, and like we're all addicted to them, and we'll use them, right? in various different ways. and but ultimately, I think we are still barely squeezing out of the web what we should be getting out of the web.Eiso Kant [00:45:33]: I think just next token prediction during training is not enough.Eiso Kant [00:45:36]: AndVibhu [00:45:38]: YeahEiso Kant [00:45:38]: I think we'll see some very interesting things still happen. and that RL in post-training to induce behaviors, to improve things, like I think - the whole world knows how to do this now. I think we're, we're scaling it up. Everyone is. But I wonder if we need to go as far as we're going today with environments. I'm not sure yetVibhu [00:46:01]: You mean we're going too far?Eiso Kant [00:46:02]: I'm, I'm not sure if the path to AGI is justVibhu [00:46:06]: Is more environmentEiso Kant [00:46:07]: More environments.Vibhu [00:46:08]: It seems like a never-ending, “Okay, I want instruction manual for this table, right? Am I gonna environment out building furniture? Or are we just gonna tail end like we need some general solution?”Eiso Kant [00:46:19]: I think there is, I think there's an ability to generalize more from the web. but I also am very encouraged, like when I look at Laguna S and, which is post-training is, well, is the big impact there. and I see like, oh, wait a second, just by making some of these behaviors much better, we're able to get so much more out of it. It just changes a little bit the way you think about intelligence.Vibhu [00:46:40]: Yeah. The analogy people draw often is the RL phase is where you don't learn as much new knowledge. You shiftEiso Kant [00:46:46]: Yeah.Vibhu [00:46:46]: Yeah. So, you shift distribution, and you can have it reason towards what you want. on your point about training, a lot of training is still just continue training in a domain, say medicine, then you do RL. So still justEiso Kant [00:47:00]: It's just better data, right? Like, I mean, training, ooh, I like how we invented this word. Like it's effectively just like,Vibhu [00:47:06]: Second phaseEiso Kant [00:47:07]: It's the second phase of training With like a really dumb way to do a curriculum. But like ultimately, what you'd want is a curriculum from token zero to token 30 whatever or 40 trillion tokens that really truly is the optimal curriculum for the model to learn. But training is essentially a stage curriculum on the web because we do not have to compute, And, effectively to try to ablate the perfect curriculum, right? And so I'm pretty sure that you'll start to see people talking soon about some other term, and there's two or - ‘cause now we do this, right? We talk stage two and stage three and stage four training and like. But ultimately, all we're doing is we're trying to assign a curriculum to the web data that we have to allow the model to learn better. I think at some point, as things get compute, as models get cheaper to run, as the next generations of compute, this will become more of a continuous spectrum. I also think the reason, by the way, you have training and like stage two and stage three is organizational, Right? It'- this is, I think, a thing where-- that we really try to avoid with the model factory is like Training exists because there's a training team now, right? There's people, or like people in training decide to focus on like a training effort. but what you really want is engineering and scale of experiments that allows for a much more continuous spectrum that you don't, you have infinite stages. Now, we're not there. Compute's not there. Organization design is not there for it yet. but I think we'll get there. we'll look back on a couple of years and be like, “Oh my God, it was so cute that we did our training data like this in such a like naïve way. Like we barely ordered it. We didn't really do a good job at likeCurriculum, Auto Research, and New ObjectivesVibhu [00:48:48]: The building that curriculum will get you that in the industry.Eiso Kant [00:48:51]: And I'll confirm that, when I talk to some researchers that this is a lot of the focus now is like how does training change and what is the next objective other than, next token prediction. I assume you don't have the answers, but you have some ideas.Vibhu [00:49:02]: We have some ideas. We're not ready to talk about it yet.Eiso Kant [00:49:05]: Yeah.Vibhu [00:49:05]: We've been working on them for years, and I think that's the one thing that's also like you asked earlier about, like what's not obvious about building a foundation model company is that you are constantly balancing the table stakes work, the recipe worksEiso Kant [00:49:19]: Yeah.Vibhu [00:49:19]: Versus like your, my crazyEiso Kant [00:49:22]: Pure researchVibhu [00:49:22]: Breakthrough.Eiso Kant [00:49:22]: Yeah.Vibhu [00:49:22]: Pure research and finding that balance and adjusting the percentage to it based on where you are in the race is really important.Eiso Kant [00:49:31]: I mean, so like, this is a nice way. I was gonna bring up auto research at some pointVibhu [00:49:35]: YesEiso Kant [00:49:35]: As another Andrej invention, or coinage, which is like, I honestly, like how many objective functions can there be, right? Like just try 1,000 of them, set it running, whatever.Vibhu [00:49:47]: Man, it's alsoEiso Kant [00:49:48]: Like what you're looking for. You're looking for loss curves like that, likeVibhu [00:49:51]: It's also a thing people take bets on, right? When you say more Neo labs, you're doing a version of we'll do foundation models, scale them up, next token predictors. A lot of other Neo labs that we see want to take a completely different approach, right? At some level, you're right. It's all, compute efficiency, and that's the net objective. But some are okay, different architecture, like vastly different amounts of compute spend. So some are different. They're not justEiso Kant [00:50:19]: YeahVibhu [00:50:19]: They're like, 99% not balancing, here's the vanilla and scale up. They're 99% on, here's novel research that'll change everything.Eiso Kant [00:50:27]: And I think, Luke, I think you. It depends when you started as well, right?Pure Research vs. Table StakesVibhu [00:50:30]: Yeah.Eiso Kant [00:50:30]: When we started, like the novel thing we did was reinforcement learning on code. No long- that's no longer novel by far, but we were like, - that's where we obsessed over when no one believed in RL. So you have to when you start the company, you have to have your own idea. You have to have something that's different that allows you to speed up, right? For us, it was RL to LLMs that later became common, like, Knowledge. But in the beginning, it wasn'tVibhu [00:50:53]: It's cool. this was like your original 2023 blogEiso Kant [00:50:57]: YeahVibhu [00:50:57]: Of purpose.Eiso Kant [00:50:58]: Yeah.Vibhu [00:50:59]: And like you do lay it all out here.Eiso Kant [00:51:01]: We laidVibhu [00:51:01]: The blog is pretty underrated, right? The whole RL on code was very early on.Eiso Kant [00:51:06]: Very early. And even we had to argue with people, like we say here things like to push beyond current capability, to train your own foundation model. We had to argue with people that it mattered that you had your own like, base model. you can fine-tune your way to success, right? major capabilities emerge from training a base model made accurate and useful during fine-tuning.Vibhu [00:51:23]: Which like, for perspective at the time, we knew closed models, OpenAI, Anthropic were huge. The open models we had were like Mistral 7B, a 30B, a 70B.Eiso Kant [00:51:35]: When weVibhu [00:51:35]: YeahEiso Kant [00:51:36]: The date on this thing is wrong. When we published this, it was April 2023. I think this was justVibhu [00:51:42]: YeahEiso Kant [00:51:42]: Happened on a migration, probably found it on archive.org.Vibhu [00:51:45]: Mistral.Eiso Kant [00:51:46]: Mistral had started, we started on the same month, right?Vibhu [00:51:49]: Yeah.Eiso Kant [00:51:49]: So this wasn't even, there was only, I think, Llama out at the timeVibhu [00:51:52]: SnellEiso Kant [00:51:52]: And that's it, right? And so, but I agree. I think we wan

What are relationship pet names that actually work? Listen in this week as the guys give you the perfect cheat sheet to make your relationship succeed. Additionally, Dane shares his prank playbook and Samuel can't stop raving about Jordan Walker's Homerun Derby victory.---If you want an Until Next Week Podcast shirt shipped to you for $25 (Large & XL available), email untilnextweekpodcast@gmail.com or DM us on Instagram. ---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Dress Like a Cow, Chick-fil-A, Wiffle Ball in the Rain, The Odyssey, Pretty Rickie's Wedding, Serious Softball, Bad SPeakers, Dentist Cavities, Jordan Walker Homerun Derby, Caitlin Clark, Lebron James Watch, Trade Deadline, How To Prank Lindsey, Random Nonsense, and Greed Part 2.

XL as in 40. But, seeing as I nearly doubled the listener feedback I addressed in this episode, I suppose XL works on a couple of levels. One of my favorite kinds of episode to record are these regular opportunities to respond to readers, listeners, and viewers of content on Casting Across. I feel privileged that you take the time to consume what I produce, and even more so when you reach out. Today's topics include: Stream temperatures Fly rod prices Wader repair Angling authors & podcast audio! Learn more about your ad choices. Visit megaphone.fm/adchoices

Mac & Fitty start Friday's show, talking about the latest developments at the Open Championship, before getting into Day 2 of ACC Kick Off, as both Dabo Swinney & James Franklin talked about their respective teams, they get a surprise visit from Kyle Bailey, and they react to XL liking an odd tweet See omnystudio.com/listener for privacy information.

What are the most embarrassing moments in the history of sports? Listen in this week to find out while Dane has a run in with the homeless, Samuel gets therapy at a car wash, and both the guys briefly discuss the World Cup.---If you want an Until Next Week Podcast shirt shipped to you for $25 (Large & XL available), email untilnextweekpodcast@gmail.com or DM us on Instagram. ---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Pickleball, Amazon Basic, 4th of July, Rehearsal Dinners, Sports Streaming Services, Homerun Derby, Lebron James Next Team, Bronny James, JJ Wetherholt Extension, Jordan Walker Homerun Derby, Team USA, Celtics Trade, Coworkers, Chick-fil-A Dress Like A Cow, Cow Appreciation Day, & Greed Talk.

Nous sommes aujourd'hui avec Majed Mansour et Wissem Ben Ammar, les cofondateurs de Junk, l'une des plus belles réussites de la street food française. En seulement 5 ans, ces deux entrepreneurs franco-tunisiens, plutôt discrets et obsédés par la performance et la qualité d'exécution, ont ouvert plus de 20 restaurants en France, en Angleterre et à Dubaï. Leur truc à eux, c'est le smash burger, qu'ils ont largement démocratisé en France. Pour co-animer ce nouvel épisode de Business of Bouffe, Philibert est accompagné d'Elisa Gautier, la fondatrice du restaurant Kiosk.À travers cet épisode, nous cherchons à comprendre comment Majed Mansour et Wissem Ben Ammar ont bâti, en cinq ans à peine et à force d'exigence, un groupe international de smash burgers qui conjugue croissance fulgurante, qualité et rentabilité.Pour cela, Majed et Wissem reviennent sur leurs origines et sur la place de leur double culture franco-tunisienne dans leur parcours. Ils racontent les valeurs de travail et d'ambition transmises par leurs familles. Dès 2013, le duo met un pied dans le Business de la Bouffe avec Graine, l'un des premiers concepts de « fast couscous » à Paris, qui modernise un plat traditionnel avec les codes du fast casual. Pendant le Covid, leur modèle bascule vers les dark kitchens et plusieurs marques en livraison, dont ils mesurent vite les limites. C'est dans ce cadre qu'ils créent Junk et tombent amoureux du smash burger, dont ils comprennent rapidement le fort potentiel business !Le duo nous explique ensuite comment Junk est devenu réalité, à commencer par une carte courte et minimaliste centrée sur une seule recette de smash burger, déclinée du S au XL. Avec eux, tout est maîtrisé au millimètre (et c'est sûrement ce qui fait la différence) : la recette, le sourcing, l'organisation, mais aussi le branding et la direction artistique brute, urbaine et très identifiable. Porté par un succès immédiat, Junk enchaîne les ouvertures à Paris, toujours en propre, en s'appuyant sur la livraison, un packaging pensé en R&D et une communication soignée au service d'une marque forte.Enfin, Majed et Wissem nous racontent le changement d'échelle du groupe. Après Paris, Junk se déploie dans les grandes métropoles régionales pour atteindre 20 adresses en France, avant de partir à la conquête du monde, à Londres en 2024 puis Dubaï en 2025. Ils nous expliquent comment ils adaptent leur offre, financent cette croissance internationale et préservent l'âme du concept aux quatre coins du monde.Cet épisode de Business of Bouffe [Street Food] a été réalisé avec le soutien de Deliveroo. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

¡Bienvenidos al capítulo 27 de la séptima temporada del podcast de Topes de Gama! Hoy José y J se quedan solos ante el peligro para analizar un menú cargadito de bombazos tecnológicos que van a cambiar las reglas del juego. Hablamos de la crisis de componentes, subidas de precios y las filtraciones más brutales del año.En el menú de hoy:• El bombazo de Xiaomi: Certificada una batería absurda de 9.000 mAh para el Redmi Note 17. ¿Estamos ante el móvil indestructible?• Samsung Galaxy Z Fold8 Ultra y Wide: Desvelamos las sorpresas del próximo Unpacked en Londres. ¿Hay innovación real o se centran todo en la IA?• El drama de Google: Se filtran todos los precios oficiales de la familia Pixel 11 (Pro, XL y Fold). Spoiler: preparad la cartera.• Apple y el iPhone 18: Filtradas capacidades de batería históricas. ¿Es suficiente para competir en 2026?• El salseo de las memorias RAM: La presunta jugada de los tres gigantes fabricantes para encarecer los precios y cómo te va a afectar.• ¡Nuestros míticos juegos! Definimos los teléfonos del año con una sola palabra y creamos el smartphone perfecto.Usa el código: RHINO para tener un 10% de descuento en toda la webEnlace a RHINOSHIELD: https://url.rhinoshield.es/RHINO-tdg

Nous sommes aujourd'hui avec Majed Mansour et Wissem Ben Ammar, les cofondateurs de Junk, l'une des plus belles réussites de la street food française. En seulement 5 ans, ces deux entrepreneurs franco-tunisiens, plutôt discrets et obsédés par la performance et la qualité d'exécution, ont ouvert plus de 20 restaurants en France, en Angleterre et à Dubaï. Leur truc à eux, c'est le smash burger, qu'ils ont largement démocratisé en France. Pour co-animer ce nouvel épisode de Business of Bouffe, Philibert est accompagné d'Elisa Gautier, la fondatrice du restaurant Kiosk.Dans ce 2ème chapitre, le duo nous raconte comment Junk est devenu réalité, à commencer par une carte courte et minimaliste centrée sur une seule recette de smash burger, déclinée du S au XL. Avec eux, tout est maîtrisé au millimètre (et c'est sûrement ce qui fait la différence) : la recette, le sourcing, l'organisation, mais aussi le branding et la direction artistique brute, urbaine et très identifiable. Porté par un succès immédiat, Junk enchaîne les ouvertures à Paris, toujours en propre, en s'appuyant sur la livraison, un packaging pensé en R&D et une communication soignée au service d'une marque forte.Cet épisode de Business of Bouffe [Street Food] a été réalisé avec le soutien de Deliveroo. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Lionhead, formerly StinkyVisits some friends post-temporal bleedHe wants to know what they are thinkingNow that they remember everythingStinky runs the HutchWith his gang of lopsHelpful and servile and willing to dieMike gets a taste when he's transported Attacked in the night by some mystery guyMike's visit to Tryleg was perfectly timed Stinky was planning to visit the BaseWhile Project Hail Mary plays in the backgroundMike, Mikey, and Stinky are taken awayThere's a metal cubeOh, what does it do?Mike think he has a decent ideaIt's important workOr so I've heardA cauliflower scenario coming soonAnd no one remembers Ducky but meNo one remembers Ducky but meI thought the point of this thingWas everyone remembers every single thingBut no one remembers Ducky Tex has a nightmare, scaring him straightHe and the Numbers smash up the vatsHe catches Michael in Mike's fireplaceWhat reason could he have for something like that?He and TXdawg leapOut and seize the beastThey perform a citizen's arrestThey transport to BaseSo that he can faceMarissa's attempts to make him confessNew Mike and MDawg are up on the roofMDawg wants to stay forever in nowA crow brings them an interesting coinNow we know where Matt's been sneaking aroundIt's from Bradford's groupNow they have the proofMatt has joined the societyAt the lost and foundMatt is led aroundBy lop, with orders to locate StinkyThe Complex is nice, the bunnies are cuteBut Troy, Ty, and Britches have business to doThey check out the Base and scour for cluesA hat from Rugby, an arm that came looseNow the path is clearTo Rugby from hereBritches arranges for transportationThey shoot Silver FoxMikey's in the trunkA coin in a Leg makes them all disappearlop's got 100 things on his placeA percent of him is in yellowknifeHe lands in an avalanche and almost freezesXL's responsible for saving his life38's not kindHe wants lop to dieLike all the lops that came there beforelop betrays XLNothing personallop must survive if he wants to learn moreThe iterations are back at the ComplexA dying Silver Fox gets StinkybonesHe runs off to die, the others all followThey find his corpse, he's left Stinky a noteNobody arrivesAnd in the lops' eyesHe's just another bunny like themWith Stinky as the prizeHe takes Salt insideThe Bunny Complex to search for him thereTurns out Salt is no stranger to hardshipHe was almost killed while building a cubeThe lop that was with him reports to the CompoundTo see if there's something that Ty can doTy turns out the lightsAt the Hutch that nightBradford's misconduct voided the contractStuck in the mudrainIn their little caveStinky falls right into Nobody's laplop's had a hard time out in the tundraTurns out that XL was hiding a LegHe digs XL up to take it for himselfBut 47 was hiding in waitNow the stage is setAll while LieutenantTricks MDawg to get in the cubeHornswaggle's replacedAnd inside the caveStinky transports and Mike gets looseSilver Fox wrote down all the detailsThe Rugby idea was his own compromiseMatt, Troy, and Britches are let out the HutchMatt sits on MDawg to keep him aliveTex transports from BaseTo the Meating placeThe three Legs meet and form an allianceNow the Compound runsUnder Bradford's thumbLop and Al get stuck on an islandLop's wearing XL's old TryLeg unitNow that means 38's wearing it tooThe Meating of the Three Legs is intenseBut all of them know what they're going to doNobody outsmartsAll their metal partsThe array can't withstand the attackBradford's lops swoop inAt the last minuteScoop stinky up and they carry him backWill Stinky be a good bossWhen he runs the Compound?Will Mikey get his life backOr is he just a blob now?Will MDawg be a problemOnce they stop sitting on him?Will they remember Ducky?Will they remember Ducky? And no one remembers Ducky but meNo one remembers Ducky but meI thought the point of this thingWas everyone remembers every single thingBut no one remembers DuckyBut me. Hosted on Acast. See acast.com/privacy for more information.

Who made Dane's top fans of 2026? Listen in this week to find out while Dane has to lead a parent meeting and Samuel finds himself agreeing with Tom Brady.---If you want an Until Next Week Podcast shirt shipped to you for $25 (Large & XL available), email untilnextweekpodcast@gmail.com or DM us on Instagram. ---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Pickleball, High Profile, Frisbee Record, Car Detailing, John Mozeliak to Angels, Albert Pujols to the Mets, Aaron Rodgers is the GOAT, 100 Things at Walmart, & Sophie Cunningham.

  Plunge into the relentless pressure and behind-the-scenes tactics of 24's "1am to 2am" episode — a masterclass in crisis escalation, operational teamwork, and rapid decision-making that showcases resolutions to real-life law enforcement challenges. From tracking down missing persons, uncovering deep-cover moles in a national security agency, to the split-second choices officers and crisis negotiators face, this episode leans into the realities that are showcases regularly on the smaller HD screen! Listen as 24 production designer Joseph Hodges and host Mike Wilkerson - 2GuysTalking.Com break down the visual language of suspicion, discuss the show's approach to tactical realism, and explore how environments and set design were engineered to heighten tension and drive authentic response. Whether you're interested in the coordination of tactical units, the psychology of interrogation, or simply crave the adrenaline of high-stakes law enforcement drama, this podcast episode offers unique insights and behind-the-scenes discussion for those interested in engaging storytelling. Ready to see the parallels between your world and Jack Bauer's? Tune in now and join the conversation. This - is the 24 Podcast - our complete, detailed and always-educational review of Season 1, Hour 2 - 1am-2am on the Day of the California Presidential Primary...   The ultimate success for every podcaster – is FEEDBACK! Be sure to take just a few minutes to tell the hosts of this podcast what YOU think over at Apple Podcasts! It takes only a few minutes but helps the hosts of this program pave the way to future greatness! Not an Apple Podcasts user? No problem! Be sure to check out any of the other many growing podcast directories online to find this and many other podcasts via The Podcaster Matrix!       The 24 Podcast Connection Links:   Connect with The Hosts (and View Direct Contact information Below!) Subscribe to This Podcast & Listen Now!        Subscribe, Like, and Share Everywhere! Help The 24 Podcast Grow!   The Detailed & Always Educational Shownotes for this Episode of The 24 Podcast: Did You Catch the TRIVIA for This Episode of The 24 Podcast? You won't find it here, but you WILL find it over in the video presentation! Have you been there yet? Enjoy This Series Yourselves (and Foster the Podcast)! It's easy to have the  same great experience from this series! Hit the links below and get your copy of the the series' music and media to follow along!   Two Great Ways to Listen/Watch! We all know that our project started as an AUDIO experience. That's same killer program is still here but now there are two great ways to take in the 24 Podcast! To Listen Now: Hit the play button in the player on this page or hit of the options to Subscribe via your favorite Podcast Directory to instantly get these episodes when they release! To Watch Now: Visit this program on YouTube, or hit the window located below to see the hosts, guests and light bulb moments that make this program special! https://youtu.be/u02ENUuaM1k Timestamps for this Episode of The 24 Podcast: 00:00 Changes in TV viewing habits over time 15:50 Desert night scenes and character focus 23:35 Discussing Titanic's love story elements and casting process 35:04 Establishing shots enhance character storytelling dynamics 47:58 Discussing Team Dynamics in TV Production 54:47 Insights from Joseph Hodges on production design 01:12:30 Vic Mackie's flawed problem-solving methods 01:21:43 Storyboarding: Connecting Narrative Elements 01:27:55 Discussing episode spoilers cautiously 01:45:16 First episode production disagreements and changes 01:46:45 Neurodiversity's influence on creativity and work     The Parts that Make the 24Podcast.Com Effort "GO!" -- The USCCA - Education, Peace of Mind and More: The USCCA is a centerpiece of education for 2GuysTalkingGuns, in that Mike Wilkerson is a USCCA-Certified Firearms Instructor. Be sure to check out the USCCA to understand the benefits of incident insurance that goes far deeper than simply events involving a firearm. Protect your family by educating yourselves about the USCCA. 2GuysTalking is an Official Partner Organization of The USCCA. https://www.usconcealedcarry.com/ -- The Editor Corps - Make Your Podcast Soar: There's only one question to ask: Why are YOU still editing your podcast? Reclaim the time you spend on editing (easily at least twice the time you spend on capturing the program) to make more great content by enlisting "The Editor Corps" who will "Make Your Podcast Soar!" http://EditorCorps.Com -- The Voice Farm: Fred Wilkerson, Mike's Father that died in the first few days of 2018, always dreamed of a place that those interested in Voiceover could go to learn more about the industry and experience - without all the BS that goes with it. We build it four and a half years go and it continues to provide new voiceover artists and businesses looking for voiceover talent a place to go and secure great voiceover artists. http://VoiceFarmers.Com   Foster the Goals and Connect with The 24Podcast.Com Effort: It's EASY to do it all! Whether you've just recently found us, or want to get the T-shirts that foster our educational goals you can do it all here! Send your items to us at: 2GuysTalking 1200 Lake Saint Louis Boulevard  Lake Saint Louis, MO 63367 Connect with us via our quick web form or socials listed above... Wear the 24Podcast Gear: It's the EASIEST way to showcase your zeal, share it with others without saying a word and you're helping the podcasters - all at the same time! Questions Answered Inside this Episode of The 24 Podcast: How does the series' real-time format influence the pacing and storytelling in this episode, especially regarding the tension and movement between scenes? In what ways does the introduction of the character Aaron Pierce serve as an impactful, understated presence within the series, and why do you think viewers become attached to him so quickly? Discuss how the production design choices, such as shooting at the Vasquez Rocks and using tight, moody lighting, contribute to the tone and atmosphere of this episode. What do you think about the decision to use stock footage, such as helicopter shots and van footage, to solve production challenges? Does this enhance or detract from the realism of the show? The episode presents early breadcrumbs that someone within CTU is a mole. How does the handling of suspicion and mistrust among team members drive the suspense in the story? Kim Bauer's forced phone call to her mother includes the unexpected "I love you" clue. How does this scene effectively communicate both desperation and coded messaging without exposition? Several scenes hinge on the idea of quick access to information (like codes, phone numbers, or dossiers) via CTU's advanced systems. How does this narrative device help or hinder the believability of the story? How do you interpret the depiction of Jack Bauer's resolve, especially in the thumb amputation scene? What does this reveal about his character and the lengths he will go to accomplish his mission? Joseph Hodges discusses his insistence on certain production details, such as avoiding generic "Craftsman" homes and building specific set elements. How do these seemingly small choices impact the overall distinctiveness of 24's visual style? Reflect on the way the episode ends—with the revelation that data traces Nina Myers as the mole. What feelings or questions does this moment leave you with, and how does it serve as an effective cliffhanger? Links from Inside this Episode of The 24 Podcast: -- Looking to score one of the (XL -there are only 20 available!) Official 24 Fan Club T-Shirts from (GASP!) 20+ years ago? Contact us today and tell us you're interested! -- Take time to learn more about what LAUNCHED this new effort via the Content Clarion Call of The Real Life Fake Wizard   Sponsors of This Episode of The 24 Podcast: Looking to establish some of the most pound-for-pound online message power when it comes to educational content and great storytelling? Connect with The 2GuysTalking Podcast Network and take advantage of Perpetual Advertising NOW! Tell Us What You Think of This Episode of The 24 Podcast: Few things are more valuable than feedback. We talk about a LOT of hot-topic subjects inside The 24 Podcast and now - it's time for YOU to THROW-DOWN! Tell us what you think, give us YOUR perspective and we'll be sure to incorporate your input and perspective into another great All-Fan Input episode!     The Hosts of this Program: Mike Wilkerson: Mike Wilkerson Is the PodFather of St. Louis, and has been hosting, producing, concepting and enhancing podcasts since 2005. As a professional content creator, Mike has been making and documenting every mistake in the Podcasting industry so you won't have to when you're ready to begin. With thousands of of hours of business, marketing and life experience behind and in front of the mic and keyboard, he has created a vibrant and always-growing business tapestry via The 2GuysTalking Podcast Network. As a perpetual student, Mike continues to foster interests in Crisis Negotiator Training, Firearms Instruction and helping people to find the next step in their career with an active interest in hunting light bulb moments. — Mike Wilkerson on Facebook — Mike Wilkerson on LinkedIn — Mike Wilkerson on X — 2GuysTalking on LinkedIn   Joseph Hodges: Joseph Hodges is a veteran production designer, director, and producer best known for shaping the striking visual identity of the groundbreaking television series 24....

Nyfiken på vad som kommer till hösten (nej GTA VI, vi tittar faktiskt inte på dig)? Sommarledigheterna är på antågande, men innan fliflopsen åker på så bjussar Anna och Pajlen på ett sista Svamppodavsnitt 'a la Pepphörna XL. 

Today's Topics:1. Sound Signature Review 6.229 – Tuna Cans 5.56 XL and WRMFZY 5.56 on the 14.5-in M4. Two silencers from the new breed of economical manufacturing that is occurring in the industry. Well-understood traditional and conventional baffle designs. How does varying length and volumetric expansion vary performance, if at all? Deep dive into last week's multi-silencer case study report. (00:08:15)a. Intro and recap (00:09:54)b. Tuna Cans overview (00:15:11)c. Tuna Cans silencer design (00:23:33)d. Hazard Map Brief 8.1.26 (00:31:31)e. System performance (00:35:29)f. Overall thoughts (00:55:44)2. Sound Signature Review 6.230 – Strategic Sciences MFMD + SDX on 20-in .308 bolt-action. One of the most interesting silencer systems we have evaluated in the research, to date. The multifunction muzzle device, like all silencers, suppresses recoil, flash, and blast. How does the MFMD compare with other things on the market? Are reflex designs making a comeback? Introductory discussion for this very high performance system. (00:58:17)Sponsored by  Legion Athletics and the PEW Science Laboratory!Legion Athletics: use code pewscience for BOGO off your entire first order and 20% cash back always!

What are the best moments of America's 250 years? Listen in this week to find out while Dane shares his 2026 Haters of the Year and Samuel goes on a spontaneous rant about Kevin Durant.---If you want an Until Next Week Podcast shirt shipped to you for $25 (Large & XL available), email untilnextweekpodcast@gmail.com or DM us on Instagram. ---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Pickleball, Toy Story 5, Bulls Bands & Barrels, Thunder Ridge Arena, Jon Pardi, Braxton Keith, Hudson Westbrook, Anne Wilson, Braxton Keith, Bachelor Trip, Fireworks, America Soccer Losing, Giannis Trade, Lamelo Trade, Miles Bridges Trade, Kevin Durant, KD Rant, NBA Twitter, Haters of the Year, America 250, US Semiquincentennial, Best Moments in US History, Funny Sports Podcasts, Weekly Recap, Pop Culture Commentary, 250th Anniversary.

Today's Topics:1. Sound Signature Review 6.228 – FOR Systems Predator 6.5 with 6.5 PRC. Hunters rejoice. Killing two birds with one stone – adding pressure and shrinking jet diameter. Please welcome 6.5 PRC to the research pedigree. The FOR Systems Predator 6.5 kicks things off. Technical discussion of last week's report. (00:10:42)a. Intro and recap (00:11:50)b. Predator 6.5 overview (00:17:10)c. Predator 6.5 silencer design (00:24:56)d. Hazard Map Brief 8.1.25 (00:31:54)e. System performance (00:42:13)f. Overall thoughts (01:06:43)2. Sound Signature Review 6.229 – Tuna Cans 5.56 XL and WRMFZY 5.56 on the 14.5-in M4. Two silencers from the new breed of economical manufacturing that is occurring in the industry. Well-understood traditional and conventional baffle designs. How does varying length and volumetric expansion vary performance, if at all? Intro to today's multi-silencer case study report. (01:08:11)Sponsored by  Legion Athletics and the PEW Science Laboratory!Legion Athletics: use code pewscience for BOGO off your entire first order and 20% cash back always!

2026 Summer Appetizer Auction Day One Sponsored by Blind Information Technology Solutions (BITS) Opens Thursday, July 9 at 12:00 noon ET Closes Friday, July 10 at 12:00 noon ET Opening Bids Included Appetizer Auction Rules and Information: Contact Leslie Spoone at 407 929-9837 or 407 227-4489 or email lesliespoone@cfl.rr.com with your bid. Please provide your name, phone number, email, item number and bid amount. Bids must be in $5.00 increments. • Leslie will send out Appetizer Auction information communicating the high bid on each item at 5:00pm ET, 8:00pm ET and 9:00am ET each day. After the close of each mini auction, an email will be sent announcing who has won each item. Billing for both the appetizer and Convention auction will take place starting on Wednesday, July 15, 2026, for all the winning purchases. Billing for auction items will be paused during the convention and resume on August 5, 2026. The auction items need to be paid for by August 14, 2026. ACB Auction Disclaimer The American Council of the Blind conducts fundraising auctions to provide financial support for our programs and services. We thank those individuals, organizations, and businesses who donate items for our auctions. We make every effort to ship purchased items in a timely manner. However, due to various circumstances beyond our control, it may not be possible for items to be shipped or to arrive by a specific date. To participate as a bidder, we ask that you be courteous to one another, to those who are conducting the auction and to those who will be contacting the winning bidders to arrange for payment. It is expected that any winning bidder will, after being contacted by anyone connected to the auction, provide proper billing information prior to the auction item being sent to them. If we are unable to collect the bid amount, we reserve the right to repurpose the item for the benefit of ACB. Any individual who does not comply with these rules will be prohibited from continuing to bid in this auction and may be prohibited from participating in any future auction. Day One 300 Victor Reader Stream 3 Donated by HumanWare Opening Bid $350 Enjoy having this handheld pocket-sized digital media audio player to harness the power of wireless content access that features a fully tactile interface. The Victor Reader Stream 3 is a handheld digital audio player to enjoy your media content, and this assistive device lets you listen to books, newspapers, web radio, music, podcasts, and other online resources. This is simple to use for anyone who is blind or living with a visual impairment, the Stream talking book player packs all your media into place and gives 15 hours of battery life, leaving more time to enjoy media content. 301 Movie Extravaganza Package Donated by ACB Associate Director of Development Jo Lynn Bailey-Page Opening Bid $30 Enjoy using this $50 Regal Cinemas gift card to watch the latest audio-described movies with some friends or family. Plus, that's not all, enjoy some goodies to go along with your movie! 302 Upcycled Ladybug Purse Donated by Keri Bishop of Tucson, AZ Opening Bid $30 This one-of-a-kind handbag transforms a pair of burgundy jeans into a stylish and functional accessory which is crafted with creativity and purpose. The upper portion of the jeans has been thoughtfully repurposed, preserving the original pockets that are perfect for convenient, built-in storage. A cheerful yellow accent fabric, adorned with playful ladybugs and delicate flowers, adds a bright pop of personality. The same fabric lines the interior, creating a cohesive and charming design inside and out. The adjustable strap is cut from the denim legs and allows for versatile wear. You can comfortably wear it over the shoulder or as a crossbody for hands-free ease. It has snap closures at the top to keep your belongings secure while maintaining easy access. This upcycled purse is a celebration of sustainability, craftsmanship, and whimsical style. perfect for anyone who loves unique, eco-friendly fashion and is practical and eye-catching. 303 Pampered Chef Stainless Steel Toaster Donated by Christina Brino Opening Bid $25 Our 4-slice stainless steel toaster is built for busy days, with extra-long, extra-wide slots that welcome everything from artisanal loaves to bagels, English muffins to Texas toast. Seven browning settings put you in control, so every slice comes out just the way you like it. Our bonus warming rack keeps buns and rolls perfectly toasty, cafe-style, without over-browning. Four smart functions put you in control: Bagel, Defrost, Reheat, and Cancel. Whether your bread is fresh, frozen, or already toasted, it comes out just right. Defrost takes bread and waffles from frosty to golden in one step while Reheat warms cooled toast without extra browning. This toaster has built-in cord storage that keeps counters tidy and a removable crumb tray allows for easy cleanup, and a high-lift lever ensures safe, easy removal making this toaster ready for weekday breakfasts, weekend brunches, and busy dinnertimes. 304 Two Dozen Dreamy Chocolate Chip Cookies Donated by Jack Pinnock, Owner Dreamie Cookies Opening Bid $40 These cookies were a huge hit in the ACB Holiday Auction. Enjoy the individually wrapped yummy chocolate chip cookies with your favorite beverage. Wow, they will melt in your mouth. You can share them with friends or just keep them for yourself! 305 Silver and Red Garnet Necklace and Earring Set Donated by Claudia Aff Opening Bid $25 You will look stunning in this beautiful 30-inch necklace of acrylic garnet red and filigree silver beads with matching hoop earrings. This will dress up any outfit! 306 Handmade Lap Blanket Donated by Nancy Mareno Opening Bid $25 Enjoy snuggling up with this beautiful handmade lap blanket which measures 33 inches by 29 inches. This blanket has 3 shades of pink with interspersed white. A great blanket for those cold nights! 307 Echo Spot Donated by Leslie Spoone Opening Bid $30 Enjoy this Echo Spot with a sleek smart alarm clock with Alexa and big vibrant sound. This spot will be great for you to wake up, wind down and so much more. You can personalize your display with your favorite clock face and fun colors. Just ask Alexa to play music, podcasts, and audiobooks. Ease into the day and set up an Alexa routine that gently wakes you with music and gradual light. You can also glance at the time, check reminders, or ask Alexa for weather updates. 308 $50 Amazon Gift Card Donated by Friends in Art Opening Bid $30 It is time to treat yourself to something special and here's a gift card to help you do it. $50 in spending at Amazon! 309 Cook with Confidence Using Cookie Voice Recipes Donated by Daria Axelrod Marmer Opening Bid $25 Designed specifically for blind and low vision cooks, Cookie Voice Recipes is a fully accessible, voice-controlled cooking app that provides hands-free, step-by-step recipe guidance. Ask questions while you cook, set timers, get ingredient substitutions, and even import your own recipes. This package includes a one-year Premium Subscription, providing unlimited access to voice-guided cooking, AI cooking assistance, and recipe importing features. Must be redeemed by December 2, 2026. 310 Handmade Framed Decoupage Canvasses of Colorful Collages Donated by ACB Director of Advocacy and Governmental Affairs Claire Stanley Opening Bid $25 This piece of art measures 12 by 16 inches. It is framed in a light blue picture frame. The decoupage style of art includes various sizes of ovals layered on top of each other in various tones of blue, yellow, and green. The piece is covered with a final layer of gloss. What a great conversational piece! 311 ModusTech 500GB Portable Donated by The Literacy Project Pat Tussing Director Opening Bid $25 The ModusTech external hard drive delivers lightning-fast transfer speeds of up to 5 Gbps with USB 3.0 technology. You can easily back up your files, transfer data, and store important documents. It's compatible with USB 2.0 and perfect for large files like HD movies, games, videos, and it has an ultra-Fast USB 3.0 Connectivity for Effortless Data Transfers. 312 $50 Darden Gift Card Donated by Cathy Spoone Opening Bid $30 Enjoy this gift card with someone special or just splurge on yourself and don't forget those scrumptious breadsticks! 313 Monet Jewelry Turtle Two Piece Jewelry Set Donated by Melissa Dubose Opening Bid $30 The two-piece jewelry set adds a playful yet polished touch to your accessories collection. This coordinated set includes a 17-inch rope chain necklace with a 2-inch extender and matching stud earrings, designed with glass accents for subtle shine. A lobster clasp closure ensures secure wear, while post-back earrings provide a comfortable fit. It's a great gift option for special occasions or everyday styling. 314 Logitech Wired Headset, Stereo Headphones with Noise-Cancelling Microphone Donated by Dan Spoone Opening Bid $25 These stereo headphones are black and have a noise-cancelling microphone, USB connection and In Line Controls. The PC headphones with plush, padded headband and ear cups provide optimum comfort. A rotating microphone minimizes background noise to provide noise-cancelling qualities resulting in clearer calls. 315 Tantalizing Homemade Candy Donated by Patty Slaby Opening Bid $40 This scrumptious homemade candy will make your get together with friends even sweeter! You can select one type of homemade candy or three different kinds. You will receive 60 pieces of candy in total from a selection of: peanut butter balls, chocolate covered potato chips, rum balls, dipped pretzels, bugles dipped in chocolate and many, many others. Patty will contact you for your selections and shipping will be determined by the weather. 316 Mary Kay Satin Hands Set Donated by Nancy Folsom Opening Bid $30 This 3-step process will leave your hands and feet feeling soft, smooth, and luxurious! The Satin Hands set softens, exfoliates, and moisturizes each time you use it. This set is great for guys and gals to help keep your hands healthy! You will love how great your hands feel! You can use it on your feet as well. 317 Fiery Dragon Print Black T shirt Donated by Blind Girl Designs Tricia Waechter Opening Bid $30 The red tactile print features the fierce head of a dragon in profile. Its jaws are open wide, exposing sharp, curved teeth as a stream of flames which pour outward. The fire is drawn with sweeping lines that curl and twist, giving a sense of movement and heat. The dragon's eye is narrow and intense, outlined with a strong stroke that adds a menacing expression. The dragon has a large horn on its snout and additionally, horns arc backward from its skull, and a row of large, jagged spines traces down the back of its neck. This t-shirt is 100% cotton, but do not size up because there is very little shrinkage when washed. Please wash inside out in cold wash and hang to dry or tumble for a few minutes to get the wrinkles out. These t-shirts come in sizes youth small through large, adult small through five XL, tall large through three XL. All sizes are unisex. The winner gets to pick their size! Enjoy your Blind Girl Designs! 318 Hand Carved Wooden Figurines Donated by DeAnna Quiet Water Noriega Opening Bid $25 Enjoy having these hand carved wooden figurines which include: a Buddha from Indonesia, a lion, a warthog, and a lioness all from Kenya. The giraffe is a soapstone also from Kenya. Wow, these will make a great conversational piece for your mantel! 319 Friday Morning Quotations Braille Book Donated by Dorlyn Catron Opening Bid $30 You will love reading the volume two Friday Morning Quotations Braille Book compiled by kay Wilson and published by The National Braille Press. Plus, enjoy a $50 Amazon card to splurge on yourself while you are reading and relaxing! 320 Chocolate Chip Bread Donated by Becky Hawkins Opening Bid $40 Indulge in this mouthwatering homemade chocolate chip bread. The bread is decadent and will melt in your mouth! What a fantastic treat to share with friends or family! 321 COSORI Air Fryer Pro Smart Donated by Carl Richardson Opening Bid $50 Enjoy this 5.8-quart air fryer which can roast and bake. The fryer has a 3-way control and a 12-in-1 customizable function. The basket is detachable, and it works with Alexa and Google Assistant. You can get online recipes. This would make a fantastic gift for the chef in your household! 322 $50 Gift Card to Walmart Donated by Arkansas Quazar Chapter Opening Bid $30 Enjoy this opportunity to fill your basket with treats for your family and friends. This $50 gift card could provide a chance for a special gift for yourself! 323 Black and Silver necklace Donated by Koni Sims, ACB Board Director Opening Bid $25 You will look stunning in 16-inch necklace featuring faux onyx and crystal beads. It has a 3-inch extender. Plus, enjoy the earrings which are 2 inches long. What a special gift to give to someone special! 324 Daniel Terrico Carved Puzzle Box Donated by Connie Jacomini Opening Bid $25 The Daniel Terrico puzzle box sports a hand carved shark motif on top. It is perfect for trinkets. There are instructions for use of this puzzle box enclosed. What a fantastic gift for your favorite fisherman! 325 Two Dozen Homemade Shortbread Cookies Donated by Deb Trevino and Delaware Council of the Blind and Visually Impaired Opening Bid $40 Enjoy two dozen fresh-baked mouth-watering authentic shortbread cookies guaranteed to explode on your palate with luscious buttery goodness. These are great with milk, hot chocolate, coffee, or your favorite tea. Next to Walker's, these are the best I've ever tasted. 326 Handcrafted Crocheted Bunny Donated by Keri Bishop of Tucson AZ Opening Bid $25 Enjoy this whimsical handcrafted crocheted bunny in a blue dress which is delightfully soft and lovingly handmade. This charming, crocheted bunny is a timeless keepsake and is perfect for all ages and is carefully crafted in a creamy ivory yarn. This sweet bunny features long floppy ears, gentle blue eyes and a soft pink nose that give it an irresistibly tender expression. The bunny is dressed in a beautifully textured, sky-blue crocheted dress with ruffled sleeves and a full, flowing skirt and this bunny exudes simple elegance. A delicate satin ribbon at the waist adds a graceful finishing touch, making it as lovely for display as it is for cuddling. Whether gifted to a child, displayed in a nursery, or cherished as a collectible, this one-of-a-kind bunny brings warmth, comfort, and handcrafted artistry. 327 Bangle Bracelets and Six Pairs Post Earrings Donated by Judy Okraski Opening Bid $25 You will look stunning with these multi metal bangle bracelets which are perfect to match any outfit. Plus, six sets of post earrings. All the earrings are colorful with single smooth surface colors that include: 2 Coral, 2 blue, green, and light pink. A fantastic gift for yourself or for someone special! 328 $50 Gift Card to the Blind Kitchen Donated by Debra Erickson, Executive Chef and Founder of The Blind Kitchen Opening Bid $30 Welcome to The Blind Kitchen where adaptive tools, helpful strategies, and specialized knowledge are provided to blind and vision-impaired people who want to cook safely, confidently, and independently. Debra Erickson is the Executive Chef and Founder of The Blind Kitchen where she will help you enjoy splurging on either yourself or someone special with this gift card and a 30-minute consult with Debra! 329 Three Handmade Hot Pads, Protein Fudge Recipe and Amazon Gift Card Donated by Tonya Drew of Essentially Braille Opening Bid $30 Enjoy the three brown cotton magic square potholders which come in large, medium, and small. As a special treat, enjoy making a delicious protein fudge recipe for yourself or friends and family. The recipe is written in Braille on Perma Braille cards to fit in your recipe box. Also, dine or shop with a $50 Amazon gift card. 330 $100 See's Candy E Gift Card Donated by Brad and Kathy Snyder Opening Bid $60 Enjoy splurging either on yourself or friends or family with this $100 E card for See's Candy. The brand is known for its premium chocolates, truffles, brittles, and other candies. They are very yummy! 331 ACB Students Common Ground Sweatshirt Donated by Blind Girl Designs Tricia Waechter Opening Bid $30 This print features a bold, symbolic Tree of Life design in a cool teal-green tactile ink. At the heart of the artwork is a circular Celtic-style tree with flowing, interwoven branches and roots that mirror one another. The canopy forms an elegant, rounded crown, while the roots weave into intricate knot- work, visually reinforcing the message of connection and shared foundation. Arched above the tree are the words: “COMMON GROUND,” And below that is printed “common ground” in grade 1 tactile braille. Curved below the roots are the words: “DIFFERENT ROOTS” And just above these words is “different roots “in grade one tactile braille. Surrounding the circular tree design is a subtle square frame made of different style of white canes, positioned along the top, bottom, and sides. The canes form a balanced border, reinforcing themes of accessibility and inclusion. On the back, printed horizontally in the same teal ink, is the phrase “Growing towards a bright future” in a fun cursive font with grade one tactile Braille underneath it. The overall design communicates unity, diversity, inclusion, and shared humanity. Different roots, but common ground presented in a clean, high-contrast layout that stands out beautifully against the rich colored background. This cozy heavyweight crewneck sweatshirt has banded sleeves and bottom. It is made from cotton poly and will not shrink. It should be washed inside out to protect the ink and make sure it's inside out before you feel free to put it in a hot tumble dryer in order to make it nice and fluffy! These sweatshirts come in unisex sizing, youth, small through large, adult small through 5-XL, tall large through 3-XL. The winner can pick their own size! Enjoy your Blind Girl Designs! 332 Necklace and Bracelet Jewelry Set Donated by Charlotte Lang Opening Bid $25 This dainty set is classic and sparkly in black and white. Most of the set is made up of 4-millimeter faceted black spinel beads. In the center of the necklace and bracelet is a 10 millimeter round white pearl. The necklace is 18 inches long and the bracelet is 7-1/2 inches long. Both have 2-inch adjuster chains and close with lobster claw clasps. 333 Waterford Crystal Marcella Vase Donated by Connie Jacomini Opening Bid $25 The Waterford Crystal Marcella Vase is a 6-inch, high-quality, clear lead crystal vase known for its elegant design, often featuring intricate fan and wedge cuts. Typically produced in the 2010s, this hand-cut footed vase is celebrated for its clarity, weight, and ability to catch light. 334 Singing Lesson Donated by Carole Brewer Opening Bid $25 You will enjoy spending one hour on ZOOM with singer and recording artist, Carole Brewer. Learn some of Carole's many concert-tested recipes for better breathing, tone quality, and confidence building. You will receive a free copy of Carole's voice manual titled 'Cookin' Up a Song ' and explore the possibility of taking your singing up to the next level. All great singing starts here, and you can contact Carole to set up a lesson time at info@carolebrewer.com. 335 Homemade Caramel Brownies Donated by Judy Okraski Opening Bid $40 These scrumptious homemade caramel brownies come in an 8 by 11-inch pan. Pair with your favorite beverage and enjoy this delicious treat with your friends. 336 Set of Six Handknitted Dishcloths Made with love and donated by Rhonda Lang from Milwaukee, Wisconsin Opening Bid $30 Enjoy this set of six handknitted dishcloths in a variety of colors. They will bring craftsmanship and resilience to your kitchen. The dishcloths are meticulously crafted for durability and designed to manage daily cleaning tasks with ease and elegance. 337 $50 Ruth's Cris Gift Card Donated by The Literacy Project Pat Tussing Director Opening Bid $30 Enjoy splurging at convention with this Ruth's Cris gift card. You will love dining at this restaurant which offers a New Orleans-inspired menu, including seafood and signature sides and USDA Prime steaks in a sophisticated, romantic, and welcoming atmosphere. 338 Pink Macrame Apple Watch Band Donated by Keri Bishop of Tucson, AZ Opening Bid $25 This handcrafted macramé watch band is a vibrant, eye-catching accessory designed to fit Apple Watch models ranging from 38 mm through 42 mm. Made from durable 2 mm satin cord in a bright bubblegum pink, the band has a smooth, lustrous finish that adds a playful yet polished touch to any look. The design is accented with elegant ceramic beads, each hand-painted with delicate pink floral details on a clean white background. These beads provide a soft contrast to the bold pink cord, creating a charming and balanced aesthetic that highlights the handcrafted artistry of the piece. The functionality is built into the design with a fully adjustable button-and-loop closure, similar to a toggle clasp. The button side features two main cords that pass through and loop back, allowing the band to be easily lengthened or shortened. This adjustable construction ensures a comfortable, secure fit for a variety of wrist sizes while maintaining a neat and streamlined appearance and they are both stylish and practical. This macramé watch band offers a unique way to personalize your Apple Watch with a handmade accessory that combines durability, adjustability, and a cheerful pop of color. 339 Light Green Glass Bead Necklace and Earrings Donated by Claudia Aff Opening Bid $25 You will look stunning in this beautiful light green glass bead 10-1/2 inch necklace with 6 darker ceramic flower beads at the bottom. Also, matching flower bead hook earrings that measure 2 inches. What a perfect complement to that summer outfit! 340 Key West Goodies Donated by Dan Spoone Opening Bid $40 Enjoy two dozen yummy macadamia nut and chocolate chip cookies. You can either share them with a friend or just have all of them for yourself! 341 Vera Bradley Backpack Donated by Cecily Laney Nipper ACB Board Director Opening Bid $30 Want to go out in style? This slightly used Vera Bradley backpack is for you. Perfect for work or school, this 18-inch backpack with two side pockets for water or soda and two zipper pockets will comfortably hold a 16.5-inch laptop in its built-in laptop sleeve. The black background of the print sets off the vibrant pink, teal, and lime green floral print. 342 $50 Starbucks Gift Card Donated by Merrilee Hill-Kennedy Opening Bid $30 Everyone loves a good cup of coffee. It's even better with some friends or family members over some laughs! As an extra bonus, Starbucks has goodies to eat. Bid so you can enjoy all the delicious choices from a great coffee establishment. 343 Computers for the Blind Laptop Donated by Computers for the Blind Opening Bid $60 Computers for the Blind (CFTB) is dedicated to bridging the digital divide for the community of the Blind and Visually Impaired. We do this by providing affordable, accessible refurbished computers and training. The winner will receive our standard laptop which is a $250 value. The laptop includes Windows 11, 256GB SSD and 8GB RAM. To qualify for Software and Warranty, registration is required. A certificate will be included with the laptop which contains details about how to register. The winner must register within 30 days of receiving their computer. The certificate indicates the expiration date and redemption code for registration. You will receive 1-Year free license of JAWS, ZoomText, or Fusion, JAWS training and 1-Year Warranty. Contact us at service@computersfortheblind.org 344 3D “we hold these truths to be self-evident” Royal Blue T-shirt Donated by Blind Girl Designs Tricia Waechter Opening Bid $30 This classic Americana white puff ink tactile print combines bold 18th century typography with raised tactile braille. This is a very similar font that was used in the typed version of the Declaration of Independence. A circle of 13 large five-pointed stars frames the entire design, creating the look of an early American flag which was inspired by the spirit of 1776 and, of course, the 13 original colonies. At the top left and right corners of the print, the years “1776” and “2026” mark the 250-year anniversary of the United States. Beneath each year is a line of raised braille dots, adding a tactile reading element that complements the18th century fonts. Centered in the middle of the print, the famous and powerful phrase from the Declaration of Independence is stacked in dramatic vintage-style lettering “WE HOLD THESE TRUTHS TO BE SELF EVIDENT THAT ALL MEN ARE CREATED EQUAL.” Each section of text is paired with tactile braille underneath, allowing the message to be experienced both visually and through touch. The combination of distressed colonial inspired lettering and raised puff ink creates a striking and authentic dimensional effect. Below the main statement is a horizontal divider with a centered star, followed by the words: “UNITED STATES Of AMERICA.” Again, accompanied by tactile braille beneath the 18th century authentic wording the entire print is designed in clean white puff ink for a bold raised texture that stands out. The tactile surface gives the artwork depth, accessibility, and a handcrafted feel while maintaining a strong patriotic presentation. This T-shirt is 100% cotton, but do not size up because there is very little shrinkage when washed. You should wash inside out in cold wash and hang it to dry or tumble for a few minutes to get the wrinkles out. These t-shirts come in sizes youth small through large, adult small through five XL, tall large through three XL. All sizes are unisex and the winner gets to pick their own size. Enjoy celebrating our 250th anniversary with your Blind Girl Designs!!!! 345 Homemade Triple Play Oversized Cookies Donated by Brian Charlson Opening Bid $40 Here we go again; it's time for Brian's triple play oversized cookies. Those who have won this item in the past will attest to the flavor, size, and overall quality of this perennial auction favorite. You can choose one dozen from either classic chocolate chip, oatmeal raisin, or peanut butter. They are packaged individually. Feel free to offer them up as additions to gift baskets or pop them in the freezer to savor them over a few months or weeks. 346 $25 Panera Gift Card and $25 Dunkin Doughnuts Gift Card Donated by Diane Scalzi and Leslie Spoone Opening Bid $30 Enjoy or share delicious soups, sandwiches, salads, and baked goods with a $25 gift card from Panera Bread. Also included is a $25 Dunkin Doughnuts gift card to enjoy with friends or family. Cards are available as electronic or physical, your choice. 347 Embroidered Apron Donated by Terry Keyson of Braille Wear Opening Bid $25 Protect your clothing while you cook by wearing this lovely knee-length maroon apron with two front pockets. It has customized embroidery that is both visual and tactile. The embroidered wording on the front of the apron in print and braille is “Serving Up 20 Years “. Wow, celebrate the auction turning 20 years with this apron and your chef will look fantastic! 348 $75 Amazon E Gift Card Donated by Blue Grass Council of the Blind Opening Bid $40 Seventy-five dollars, ready to send by email or text, It's yours in the end. A click and a smile, a gift in a flash for someone you love or your own little splash. From BCB's heart to the auction fun, Bid with cheer and may you be the one. 349 Three hours of one-on-one personal happiness coaching along with Handwritten Booklets Donated by Darian Slayton Fleming of Embrace Happiness Opening Bid $25 The booklets are entitled: My AI: Affirmations and Intentions (this booklet has 31 suggested affirmations and 31 suggested intentions. Each section is followed by instructions about how to write your own affirmations and intentions and blank pages on which you can write your own affirmations and intentions. Also, My AI: Affirming and Intentional Self Care. This booklet describes the Happy for No Reason approach to designing your own happiness and practical exercises that will help you embody happiness through intentional self-care. You can enjoy these booklets in braille, large print, or standard print. Enjoy having this time with Darian Slayton Fleming who is a Certified Happiness Trainer and Licensed Clinical Social Worker. Darian will show you how to embrace happiness in these sessions. 350 Chocolate Peanut Butter Buckeyes Donated by Dan Spoone Opening Bid $40 Enjoy this 24-piece box of chocolate Peanut Butter Buckeyes. These are packed in our Ohio State Themed Buckeye box. What a yummy treat to either share with some friends or just keep them for yourself! Find out more at https://acb-convention.pinecast.co

Can we name 100 musical artists in 10 minutes? Listen in this week to find out while Dane shares an unfortunate turn in his car saga and Samuel gets heated at a Mumford & Sons concert.---If you want an Until Next Week Podcast shirt shipped to you for $30 (Large & XL available), email untilnextweekpodcast@gmail.com or DM us on Instagram. ---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Get 10% off your order for a Bloom Card with the following code: SAMUEL14434https://bloom.inc---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Pickleball, Unthawing Uncrustables, Ryan Lochte, Summer Camp, Wedding, The Commissioner, The Spurs, Joshua Baez 4 Homeruns, New Homerun Derby Rules, Nico Harrison Victory Lap, Giannis Trade, Skype Blew the Lead, and Worship Nights.

Mac & Bone start Tuesday's show, reacting to the scenes from the Canes returning from Las Vegas with the Stanley Cup Trophy, they play sound of Jalen Coker talking expectations for 2026 & Emmanuel Acho sounds off on XL, they get into Brendan Sorsby heading to the NFL Supplemental Draft, & more See omnystudio.com/listener for privacy information.

Listen in as we attempt to name 100 athletes, discuss the latest significant NFL moves, and predict Shepherd's life.---If you want an Until Next Week Podcast shirt shipped to you for $30 (Large & XL available), email untilnextweekpodcast@gmail.com or DM us on Instagram. ---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Pickleball, Softball is Back, 1st Sale, High Level Competition, Summer Camp, Late Recruiters, Cat Car, Worst Smells, Board Games, & Strawberry Uncrustables.

Bust your suncreen and beach towel because SUMMER GAME FEST is taking over this week on an extra special XL version of The Rage Select Podcast as Michael and Jeff discuss all the announcements from Nintendo, XBOX, as well as ALL THE REST! MP3 here - http://traffic.libsyn.com/rageselect/RageSelectEpisode647.mp3 RSS feed here - http://rageselect.libsyn.com/rss iTunes here - https://itunes.apple.com/us/podcast/rage-selects-podcast/id657490976 Email address for your questions: mail@rageselect.com FOLLOW Tessa on Instagram - https://www.instagram.com/tessamorrison FOLLOW Matt on Twitter! - https://twitter.com/spankzilla85 FOLLOW Brian Salisbury on Twitter! - https://twitter.com/JunkfoodCinema FOLLOW Jeff on Twitter - https://twitter.com/RageSelect FOLLOW Grant on Twitter - https://twitter.com/BaronVonGrant LIKE Rage Select on Facebook - https://www.facebook.com/RageSelect Listen to our podcast and if you enjoy it, SUBSCRIBE! Check out the full website at http://www.rageselect.com #rageselect #podcast

In a Friday edition of Random Crap, XL opens up about hosting some of his teammates down in Mullins, we have another viral Knicks fan getting attention, NASCAR drivers troll the Bussin With the Boys Podcast, Scottish soccer fans have invaded Boston, & moreSee omnystudio.com/listener for privacy information.

Sabrina Gonzalez Pasterski is a first-generation Cuban-American theoretical physicist from Chicago whose life has been shaped by flight and physics. She began flight lessons at age nine and, between ages 12 and 14, built a single-engine Zenith CH 601 XL aircraft from a kit, making her own engineering modifications after fatal midair breakups involving the model. At 16, before she had a driver's license, she flew the aircraft solo. The FAA later allowed her demonstration flight to validate her modifications before grounding the fleet. At MIT, Pasterski became the first freshman selected for NASA's January Operational Internship, received the inaugural MIT Freshman Entrepreneurship Award, interned at NASA Kennedy Space Center and CERN, and graduated first in her MIT Physics class. She earned her PhD from Harvard in 2019 under Andrew Strominger, focusing on quantum gravity, then joined Canada's Perimeter Institute for Theoretical Physics at 27 as its youngest faculty member and one of only three women on staff at the time. She now leads the Celestial Holography Initiative, and her honors include Scientific American's 30 Under 30, Forbes 30 Under 30 in Science, and the Albert Einstein Foundation's “100 Greatest Innovators.” Shawn Ryan Show Sponsors: Live better longer with BUBS Naturals. Get 20% OFF on collagen, MCT creamers, and more with code SHAWN at https://bubsnaturals.com/srs Go to https://calderalab.com/SRS and use code SRS for 20% off your first order. Ready to upgrade your eyewear? Check them out at https://roka.com and use code SRS for 20% off sitewide. Sign up and get 10% off at https://betterhelp.com/srs #ad Sabrina Pasterski Links: Perimeter Institute - https://perimeterinstitute.ca/people/sabrina-pasterski Learn more about your ad choices. Visit podcastchoices.com/adchoices

Listen in as A.I. predicts the future, Dane attends a boujee wedding, and Samuel breaks down the Madden Curse.---If you want an Until Next Week Podcast shirt shipped to you for $30 (Large & XL available), email untilnextweekpodcast@gmail.com or DM us on Instagram. ---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Pickleball, The Lake, Wiffle Ball, Catan, Hat Guy, Racing, Weddings, Sleep vs Diet/Exercise, & Kat Daddy.

This week, guests can get a better idea of the weather for their Disney vacations, Magic Keyholders are getting a new perk, more details released for Halloween Time, a new partnership for transportation around the Anaheim Resort, Disneyland Handcrafted receives major recognition, we talk to James and Tage about their recent transatlantic cruise, and more! Please support the show if you can by going to https://www.dlweekly.net/support/. Check out all of our current partners and exclusive discounts at https://www.dlweekly.net/promos. News: Disney partnered with AccuWeather to create a new forecasting system called “Disney Weather Check” specifically for their theme parks and resorts. The service has its own mobile setup that alerts guests with real-time updates and matches Disney's internal safety rules. Visitors can use features like “MinuteCast” and “RealFeel” to see exactly when it will rain and what the weather actually feels like while they are walking around the parks. – https://www.micechat.com/436589-disneyland-update-summer-builds-shady-spots-kids-rule/ https://www.laughingplace.com/disney-parks/disney-weather-check-accuweather-disney-parks/ Attention Magic Keyholders, Disneyland is introducing a new perk! Current Magic Key holders who renew any pass type between May 27, 2026, and May 26, 2027, will receive a free Disney Dining Card. The value of the card depends on the pass tier being renewed, ranging from $25 for the Imagine Key up to $100 for the Inspire Key. Unlike standard Disney Gift Cards, these promotional dining cards can only be used to purchase food and beverages at the parks and cannot be used for retail merchandise. – https://www.micechat.com/436589-disneyland-update-summer-builds-shady-spots-kids-rule/ Once again Halloween Time is starting in late August on the 21st and running through Halloween on October 31st. Mickey, Minnie, and their pals will be dressed in new harlequin motifs for the 2026 season. Decor, Haunted Mansion Holiday, Halloween Screams, and Disney's Happiest Haunts Guided Tour all are back for the season. Oogie Boogie Bash also returns for 33 nights throughout August to October, with the Sunday, September 27th date being for D23 Members only. The Oogie Boogie Bash VIP tour returns this year starting on August 30th. – https://disneyparksblog.com/dlr/halloween-and-fall-celebrations-at-disneyland/ Following the closure of the Anaheim Transportation Network, the Disneyland Resort has partnered with Lyft to provide reliable transportation for guests staying at Good Neighbor Hotels. To celebrate the partnership, new Lyft users can get 50% off two rides using the promo code 50MAGIC, while existing users can get 10% off an XL ride with the code XL10. These special discounts are active for the summer season and remain valid through September 8, 2026. – https://www.laughingplace.com/disney-parks/lyft-disneyland-good-neighbor-hotel-savings/ The documentary Disneyland Handcrafted earned major recognition for its craftsmanship, winning multiple Telly Awards including a Gold Telly for its incredible historical accuracy. Directed by Leslie Iwerks, the film uses beautifully restored archival footage to show the immense effort and tight deadlines required to build Walt Disney's original theme park for its 1955 opening. The project was further elevated by the team at Skywalker Sound, who painstakingly re-created realistic background audio for the original silent reels to bring the historical footage to life. – https://disneyparksblog.com/disney-experiences/disney-experiences-earns-recognition-at-the-telly-and-shorty-awards/ Disney is celebrating the 250th anniversary of the United States with “Disney Celebrates America.” This set of events will take place starting on June 29th with a 2-hour special on ABC called “Disney Celebrates America: The Pursuit of Happiness.” This special will be coast-to-coast at both resorts. On the evening of July 3rd and continuing through July 4th, the entire Disney broadcast empire will celebrate America across all 50 states, exploring the people, places, and moments of the nations 250 year history. For all of the details, visit the link in the show notes. – https://www.laughingplace.com/disney-business/disney-celebrates-america-lineup/ SnackChat: Pride Nite eats – https://www.instagram.com/p/DZDoV66Gtsl/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA== https://www.laughingplace.com/disney-parks/dlr-pride-nite-foodie-guide-2026/ Discussion Topic: Tage and James's Cruise – https://www.dlweekly.net/103/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join us as we delve into the journey of Overthinker, exploring their creative process, album release strategies, and upcoming tour plans. Discover insights into music production, the importance of physical media, and the unique experiences of touring and band dynamics.About Bardown Breakdown: Power chords and crashing boards. Mikey, Tom, and Justin talk music, hockey, and anything else that gets in their way. Tom and Mikey are lifelong friends that grew up on Long Island during the glory days of alternative music where our local bands were As Tall As Lions, Brand New, Taking Back Sunday, Bayside, The Sleeping, Envy on the Coast, you get the point. We spent many nights together at The Downtown, catching any pop-punk, indie, hardcore, or emo band that came through. This was not a phase, Mom! Fast forward 20 years and we are still just as passionate about the scene as we were during our girl jeans and youth XL band tees days. Tom and Mikey are diehard New York Islanders fans, but Justin (Bolts fan) likes to remind us that we are not an Isles podcast. As we got older we realized we can like more than one thing and running beside our love for music has always been our love for hockey. We have realized we are not alone in this thinking, actually there are many of us that love these two things! This podcast explores just how connected they are!

After a long hiatus, Michael Fuller is back on the podcast! Listen in as the guys learn about the evolution of sleepovers, Samuel becomes a conspiracy theorist, Dane becomes a sports legend, and Michael can't stop messing with the sound effects!---If you want an Until Next Week Podcast shirt shipped to you for $30 (Large & XL available), email untilnextweekpodcast@gmail.com or DM us on Instagram. ---Please follow our Instagram & TikTok to stay updated on all things podcast and make sure to send us a voice message via Instagram DM to be featured on one of our next episodes.https://www.instagram.com/untilnextweekpodcasthttps://www.tiktok.com/@untilnextweekpodcast---Please leave us a 5 STAR REVIEW on both Spotify and Apple for a chance to be mentioned on a future episode.---Get $10 off at Friday Pickleball with a minimum order of $95: [MUST CLICK LINK BELOW]https://www.fridaypickle.com/discount/SAMUEL14434---Key words for the algorithm: Clean Podcast, Clean Comedy, Friday Pickleball, Ghostrunners Podcast, Correct Opinions Podcast, Tim Hawkins Podcast, Becoming Something Podcast, Youth Group Chronicles Podcast, Almost Athletes Podcast with Dude Perfect, Pickleball, Silver Dollar City, Ella Langley Fandom, Bowling, Can't Stop Sweating, Nice Dinner Spots, Small Phones, MLB Salary Proposals, Spurs Win!, What if the Knicks win?, Ethical Hoops Wins!, Michael's Dating Life, and Midwest Travel.