Podcasts about Panther

Tobin shares that Hellebuyck did request a trade from Winnipeg; but it is not believed that the Panther could pull off a trade at this point. With the performances from the Dolphins back up QBs not being great; can we expect them to shop around once cuts start being made around the NFL. We then dip into our mixed bag and the girls wonder if it's just Tobin trying to play Goosies or No Goosies?

The Florida Panthers schedule baffles the guys after taking notice that Brady Tkachuk's return to Ottawa and Sergei Bobrovsky's return to Miami are not nationally televised games. Updates continue from the exhilarating Sweden vs. Finland Qualifier. Will fans have a rude awakening from Pelle Larsson this year? Tobin strangely confesses he has never gone to an Ikea which causes the show to explain how the store works and its fame for hard to build furniture.

This week Kelly and Katai read YEAR OF THE CAT 3: THE AMULET by Zoe Daniels, aka Yucky Lucky Twilight Panther. They talk hating Tisha's characterization, lack of concrete Panther lore, wtf is Alex even, Holly being a giant baby weakling, how Zack needs to distance himself from these drips, and more!Support BROTHER MANOR, Kelly's gothic romance miniseries, on Kickstarter! INFO AND DONATE!SUBSCRIBE ON PATREON for ad free and video eps, bonus eps, & more.DiscordInstagramMERCH!TEEN CREEPS IS AN INDEPENDENT PODCAST.*All creepy opinions expressed are those of the hosts and guests. Hosted on Acast. See acast.com/privacy for more information.

How are hip hop and Black Liberation connected? In this special Black August edition of Rattling the Bars, former political prisoner and Black Panther Mansa Musa sits down with artist, producer, and "Panther Cub" Mopreme Shakur on the rooftop of a hotel in the nation's capital. Together, they explore Shakur's memoir, This Thug's Life, tracing the trajectory from the rise and fall of Black Power to the birth of hip hop through the eyes of the son of a Panther and the stepbrother of a legend.Additional links/info:Mopreme Shakur, Penguin Random House, This Thug's Life: An Unapologetically Black StoryCredits:Producer / Videographer / Editor: Cameron GranadinoBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-real-news-podcast--2952221/support.Help us continue producing radically independent news and in-depth analysis by following us and becoming a monthly sustainer.Follow us on:Bluesky: @therealnews.comFacebook: The Real News NetworkTwitter: @TheRealNewsYouTube: @therealnewsInstagram: @therealnewsnetworkBecome a member and join the Supporters Club for The Real News Podcast today!

The gang gets into Leroy's time in the NFL and reminisces on his days with the Minnesota Vikings! Reports came out yesterday claiming that a no trade clause is what kept Sergei Bobrovsky from resigning with the Panther which of course devastates Tobin so naturally he and Leroy quibble about it! And we get some bad news about one of the Hurricanes running backs!

In the third hour, Mac & Bone gauge the optimism that Panthers fans have entering the season, they react to the early returns from Bears camp, the Voice of the Panthers, Anish Shroff stops by to talk about Panthers training camp, & Weatherman Mark and Monroe Lara join for the Panthers Round Table See omnystudio.com/listener for privacy information.

David, Ryan, and Tim break down the newly released Sun Belt basketball schedule before turning to Georgia State football's 2026 home game promotions—and debating whether some of them actually qualify as “themes.” From '90s throwbacks and Boo & Brew to tailgating plans, old Panther logos, and Ryan spending his birthday talking schedule, the guys get dangerously close to football season.Follow usWeb: http://stateofatlanta.comFacebook: http://facebook.com/STATEofAtlantaTwitter: http://twitter.com/STATEofAtlantaYouTube: https://www.youtube.com/@STATEofAtlantaSupport the showPatreon: http://patreon.com/STATEofAtlantaRock our swagMerch: http://merch.STATEofAtlanta.com

Max and Panther back at it after a few month hiatus! Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

In the second hour, Mac & Bone debate which Carolina Panther is next to make the Hall of Fame, after Luke Kuechly was officially enshrined over the weekend, Jim Szoke joins to give his view from the booth from the Panthers win over the Cardinals in the preseason, before the guys give their conclusions from they weekend See omnystudio.com/listener for privacy information.

Catch up on all the Rugby League news from NRL 360, Monday the 10th of August, with hosts Braith Anasta and Gorden Tallis. The NRL 360 panel discuss the huge news with star Panther, Brian To'o, signing on with the PNG Chiefs, and what it means for the new club. After the Warriors take down the competition favourites, can they win the comp?! One 360 panel member refuses to believe. Plus, the Isaah Yeo injury - how much does it hurt the Panthers chances? For more of the show, tune in on Fox League CH 502 or stream full episodes on KAYOSee omnystudio.com/listener for privacy information.

Is Panthea doing TOO much on Real Housewives of London?! Should we nickname her “The Panther” at this point? Is Nessie the Heather Dubrow of London? Why does Tamra like her more than Teddi? Plus, did we enjoy how vulnerable the girls got this episode? Is it better than seeing them fight over absolutely nothing?! See omnystudio.com/listener for privacy information.

David, Ryan, and Tim kick off the 2025 Georgia State football season with a realistic look at what Panther fans should expect. From preseason win predictions and national rankings to the new Centennial merchandise collection, the guys debate whether this team can outperform expectations—even if nobody is drinking quite as much blue Kool-Aid as last year.Along the way, they discuss ticket promotions, travel plans for UCF, and plenty of the usual STATE of Atlanta off-topic detours. If you're wondering why Georgia State might surprise people this fall, this is the episode for you.Follow usWeb: http://stateofatlanta.comFacebook: http://facebook.com/STATEofAtlantaTwitter: http://twitter.com/STATEofAtlantaYouTube: https://www.youtube.com/@STATEofAtlantaSupport the showPatreon: http://patreon.com/STATEofAtlantaRock our swagMerch: http://merch.STATEofAtlanta.com

In the second hour, Mac & Bone tell you what stood out to them in both a positive and negative way, from last night's win over the Cardinals in the preseason, they play all the best cuts from Luke Kuechly's Hall of Fame press conference, before debating if Kuechly is the best Panther ever See omnystudio.com/listener for privacy information.

The Nerdpocalypse breaks down Spider-Man: Brand New Day's historic opening, shattering box office records for the biggest Tuesday ever and cementing the film's dominant theatrical run. Dave Bautista is now in talks to play Kratos in Amazon's God of War live-action series. David Jonsson has been cast as T'Challa's son in Black Panther 3, set for a December 2028 release; we unpack what the very odd response from some about this news.Ryan Gosling officially is starring in a Ghost Rider project with Mephisto and possibly Rosamund Pike attached with early buzz on Marvel's supernatural corner of the MCU. Mahershala Ali has exited Marvel's Blade entirely, the latest setback for a project that's been stuck in development hell for years. We break down why and what comes next. David Ellison's bid to acquire Warner Bros. Discovery has hit serious obstacles, with implications for the entire industry landscape.Plus trailers for Matchbox, Fall 2: Deadpoint, Neuromancer, Lanterns, The Thomas Crown Affair, and Avengers Doomsday. All your franchise news and trailer breakdowns in one episode!The Nerdpocalypse is a weekly podcast covering the latest movie news, TV show news, trailer reactions, and pop culture commentary. We break down Marvel MCU updates, DC Universe news, Star Wars, superhero movies, sci-fi, horror, streaming wars, box office results, casting announcements, and everything happening in Hollywood and the entertainment industry. Hosted by Jay, Micah, and Terrence. A TNP Studios production since 2011. New episodes weekly on Spotify, Apple Podcasts, YouTube, and all major platforms. Premium content at TheNerdpocalypse.com/premium. For more TNP Studios content, check out Black on Black Cinema (Black film reviews), Dense Pixels (video game news), and Look Forward (progressive politics).

Luke Metcalf has been summoned from the selection wilderness into the Warriors ahead of tonight's match against NRL league leaders Penrith. He'll start at halfback in what will be his first game since round five, after incumbent Te Maire Martin was ruled out with a hamstring strain. Metcalf has played two NRL games this season, both in the five-eighth role and both in defeats. Former Kiwis captain Richie Barnett told Mike Hosking it's unknown at the moment what impact the late change will have. “Is it an opportunity or a challenge for the side? We'll find out tonight.” LISTEN ABOVE See omnystudio.com/listener for privacy information.

**The Clay Edwards Show with Creston Berch** Clay and Creston open with the surging legal fundraiser for Nolan Wells' targeted friends. The original $100,000 goal was obliterated in days—$120,000 already raised and climbing toward $200,000 (and beyond) so the group can retain serious counsel, including the high-powered attorney who just delivered massive wins for Donald Trump. The point is straightforward: match the other side's funding machine instead of letting Ben Crump and the media narrative steamroll the case. The conversation then shifts to the WNBA culture war. Sophie Cunningham continues refusing to back down on men in women's sports while Golden State Valkyries head coach Natalie Nakase openly embraces “trans women” in the league under the banner of inclusivity and authentic self. Clay lays out why biology is decisive after male puberty, discusses Clay Travis's multimillion-dollar challenge (high-school boys or a team of biological males identifying as women versus WNBA talent), and explains the job-security angle for mid-tier players who stay silent. A raw playground video surfaces next: a mother coaching and filming her young son as he confronts and berates a white child, framed online as a “MAGA kid” meeting a “young Panther.” Clay calls it pure culture rot—adults manufacturing racial hostility in eight-year-olds—and contrasts it with the selective outrage machine. The hour also covers a Jackson case that received none of the usual national attention: a teenager (14 at the time of the crime) pleading guilty to the 2021 kidnapping, rape, and murder of a 33-year-old Black woman. Details are grim. The absence of Ben Crump, marches, or sustained media pressure is noted as the predictable double standard. Unfiltered talk on media bias, race-baiting incentives, Section 230 double-dealing, and the broader culture-rot problem that treats some victims as useful and others as inconvenient. No gloves, no softening.

Sorry for the delay! We hit a few technical gremlins this month, so we're a few days behind schedule, but we're back with another instalment of Carpy Ramblings. Spoiler alert: Mark doesn't drop any tackle boxes, lose any fish, or cause any lakeside disasters this time. In fact, for a change, he doesn't even cast out. Instead, we settle in by the lake and chat about the recent heatwave and its impact on fisheries, catch up on Mark's ADHD journey, and look back at The Wild Goose Chase—the latest film from Gaz and me. We also discuss how some of our bait photos mysteriously found their way onto another brand's social media in what can only be described as a rather questionable attempt to sell products. The Panther returns with another slice of sermon magic, there's your chance to win a bait bundle, and, last but certainly not least, Jake "The Heron" joins us once again to talk about a huge change in his life. After leaving his full-time role at Prolite Explorer, he's taking the plunge into some exciting new ventures — and we find out exactly what's next. Enjoy.   

S04E07 — Im Gespräch mit Leo Rath, Tight End, Dickinson College Münster, Blackhawks, ein Schaumstoff-Football und zwei Straßen Entfernung. Leo Rath erzählt, wie er mit zehn Jahren zum Football kam, über die Düsseldorf Panther und die Green Machine den Weg in die USA fand und jetzt am Dickinson College um einen Starting Spot kämpft.

S04E07 — Im Gespräch mit Leo Rath, Tight End, Dickinson College Münster, Blackhawks, ein Schaumstoff-Football und zwei Straßen Entfernung. Leo Rath erzählt, wie er mit zehn Jahren zum Football kam, über die Düsseldorf Panther und die Green Machine den Weg in die USA fand und jetzt am Dickinson College um einen Starting Spot kämpft.

S04E07 — Im Gespräch mit Leo Rath, Tight End, Dickinson College Münster, Blackhawks, ein Schaumstoff-Football und zwei Straßen Entfernung. Leo Rath erzählt, wie er mit zehn Jahren zum Football kam, über die Düsseldorf Panther und die Green Machine den Weg in die USA fand und jetzt am Dickinson College um einen Starting Spot kämpft.

S04E07 — Im Gespräch mit Leo Rath, Tight End, Dickinson College Münster, Blackhawks, ein Schaumstoff-Football und zwei Straßen Entfernung. Leo Rath erzählt, wie er mit zehn Jahren zum Football kam, über die Düsseldorf Panther und die Green Machine den Weg in die USA fand und jetzt am Dickinson College um einen Starting Spot kämpft.

It's a action-packed Friday episode of FreightWaves Today! Host Craig Fuller, Julie Van de Kamp, and guest host Max Fuller dive deep into the latest earnings releases, critical market shifts, and major legal developments rocking the supply chain industry. In this episode, we cover: Spotlight on ArcBest: President & CEO Seth Runser joins the show to discuss ArcBest's impressive Q2 performance, signs of an early demand recovery, their strategic rebranding (consolidating Molo and Panther), and the launch of the new ArcBest View platform. Freight Market Deep Dive: A breakdown of 5 key market pillars—from capacity exits and durable spot rates to shifting driver recruiting dynamics. C.H. Robinson & Earnings Roundup: Senior Editor John Kingston drops by to unpack C.H. Robinson's earnings call, headcount reductions, and the lingering overhang of recent litigation. Legacy Carriers & Market Supercycle: Covenant Logistics Founder & CEO David Parker sits down to discuss Covenant's transition away from one-way OTR, driver market constraints, rising insurance burdens, and why we might be in the early stages of a freight supercycle. Freight Expectations: Transportation attorney Matt Leffler breaks down the massive $604M Lupus Superior nuclear verdict against C.H. Robinson, the legal concept of vicarious liability/co-employment, and why this case represents an existential threat to the freight brokerage model. ⁠Follow the FreightWaves Today Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

It's a action-packed Friday episode of FreightWaves Today! Host Craig Fuller, Julie Van de Kamp, and guest host Max Fuller dive deep into the latest earnings releases, critical market shifts, and major legal developments rocking the supply chain industry. In this episode, we cover: Spotlight on ArcBest: President & CEO Seth Runser joins the show to discuss ArcBest's impressive Q2 performance, signs of an early demand recovery, their strategic rebranding (consolidating Molo and Panther), and the launch of the new ArcBest View platform. Freight Market Deep Dive: A breakdown of 5 key market pillars—from capacity exits and durable spot rates to shifting driver recruiting dynamics. C.H. Robinson & Earnings Roundup: Senior Editor John Kingston drops by to unpack C.H. Robinson's earnings call, headcount reductions, and the lingering overhang of recent litigation. Legacy Carriers & Market Supercycle: Covenant Logistics Founder & CEO David Parker sits down to discuss Covenant's transition away from one-way OTR, driver market constraints, rising insurance burdens, and why we might be in the early stages of a freight supercycle. Freight Expectations: Transportation attorney Matt Leffler breaks down the massive $604M Lupus Superior nuclear verdict against C.H. Robinson, the legal concept of vicarious liability/co-employment, and why this case represents an existential threat to the freight brokerage model. Follow the FreightWaves Today Podcast Other FreightWaves Shows Learn more about your ad choices. Visit megaphone.fm/adchoices

Our first guest Robin Baker describes three big black cat sightings from the Forest of Dean and two pieces of his resulting artwork which include black leopards. Robin also explains his ‘Big Five' creatures of the Dean which feature in his artwork.Robin also explains the scowles of the Forest of Dean, a landform which inspired Tolkein's Lord of the Ring's Middle-earth landscape. The scowles are gullies in the woods, produced by ancient iron ore mining and now used as eerie backdrops to Star Wars and Harry Potter film scenes. These channels are also highly suited to big cats, for their routes and their ambush positions.Our second guest is Gary Ridley, back from episode 131. He fronted the recent Big Cat Investigator program in the BBC Our Lives series, available on I Player. Gary responds to podcast listeners' different feedback on the program. The program had an emphasis of the quest rather than the proof, and Rick and Gary discuss a key item which didn't make the final edit…   Word of the week:   scowles29 July 2026

In the show's opening hour, Kyle reacts to rookie WR Chris Brazzell II going down with an LCL Tear and how it could hinder his rookie year as a whole, and how this impacts the back end of the Panthers WR roomSee omnystudio.com/listener for privacy information.

Jesus did not only die to forgive our sins, He rose from the dead, is reigning now, and is coming again to make all things new.Teaching from 1 Corinthians 15, Philippians 1, and Revelation 21–22, Pastor Shane shares how the resurrection and the hope of eternity can sustain believers through failure, weariness, suffering, and the unfinished work of this present life. Because Christ conquered death, our labor is not in vain and our hope is not limited to this world.Plan Your Visit to SALT Church:https://www.saltchurches.com/Ways to Support the Ministry:https://www.saltchurches.com/givingSubscribe:https://www.instagram.com/saltchurches/Subscribe @saltchurchNC Connect with Parker + Jessi Green:Instagram Parker / https://www.instagram.com/parkerrichardgreen/Instagram Jessi /https://www.instagram.com/jessi.green/Websites https://www.saltchurches.com/https://www.jessi-green.com/https://www.saturateglobal.com/#prayer #bible #biblestudy #saltchurch #revival #parkergreen #jessigreen

Training camp doesn't wait for anybody, and Days 3 and 4 at Bank of America Stadium gave us a little bit of everything — a genuine gut-punch injury, a roster move that changes the pass-rush math, and one of the best "welcome to the building" stories you'll hear from a new Panther. On this episode of Keep Pounding Podcast, we break down every bit of it.We start with the hardest part of the show: Nic Scourton tearing his ACL in practice. Head coach Dave Canales didn't sugarcoat it, calling it a "horrible loss" for a rookie who was already building himself into a leader in that outside linebacker room. We walk through what Canales said about the team's reaction, what the timeline looks like for surgery and rehab, and why the NFLPA has actually requested to review the practice film. We also get into the ripple effects — Rob Hunt and Michael Jackson both dealing with back tightness, Will Lee and Chris Tabor Jr. on the watch list, and what it means for a defense that Canales says has been "pretty dominant" through the first two days of camp.From there we pivot to the response: the offense bouncing back hard in the rain, capping a competitive Day 4 with a two-minute drill touchdown drive against the number-one defense. Bryce Young spreading the ball to Xavier Legette, Tetairoa McMillan, and Trevor Coker looked like a quarterback in complete command of the install, and we get into why Canales keeps pointing to "the meu factor" — reps on task with these receivers dating back to the offseason — as the reason for it.Speaking of Legette, he's our Play of the Day. A touchdown grab in the back of the end zone, a contested deep ball down the sideline against Robert Rochell — this is a receiver who flashed as a rookie, got a little buried in the numbers last year behind McMillan's Offensive Rookie of the Year campaign, and looks like he's ready to make some noise in a genuinely deep receiver room.We also spend real time on the personnel move that matters most right now: Cam Gill signing back with the team after a strong UFL season and notching a sack in his very first practice back. With Scourton out, that outside linebacker room just got a lot more interesting — Princely Umanmielen being asked to become a complete every-down player, Pat Jones bringing rush versatility off last year's back injury, and a rotation of familiar faces in Travis Gibson and Thomas Incoom that the staff already trusts.That leads into one of the best segments of the show — Pat Jones' comeback story. A herniated disc, a broken-off piece of it pressing on a nerve, a season nearly lost, and a version of Jones who came out of it, in his own words, "the strongest I've ever been." He gets emotional talking about the teammates who got him through it, and he's already turned around and used that same experience to talk Nic Scourton through what's ahead. If you only watch one clip from this episode, make it this one.We round things out with a feature on Devin Lloyd, who's stepping into a Panthers middle linebacker lineage that runs through Luke Kuechly, Thomas Davis, and Sam Mills — and actually set up a film session with Kuechly himself to get ready for it. Plus a full rundown of the five position battles we're watching closest heading into pads on Tuesday: outside linebacker, safety, wide receiver, running back, and the right side of the offensive line.Subscribe for the rest of camp coverage, drop a comment on who you think steps up in the rush rotation with Scourton out, and hit the bell so you don't miss the pads-on reaction video dropping later this week. Keep Pounding.

In the third hour, Mac & Bone express their concern of the injuries that are already stacking up among the Panthers offensive line, and the defensive line, they speak with the most dominant competitive eater of all time, Joey Chestnut. before going over the results of the Panther's fan survey See omnystudio.com/listener for privacy information.

The Panthers lost their leading tackler to Tampa Bay — and might have upgraded anyway. In this Keep Pounding Podcast camp preview, we break down all seven inside linebackers on the 90-man roster, led by the new signal-caller of the defense: Devin Lloyd.Lloyd picked off FIVE passes for Jacksonville last season and signed a three-year, $45 million deal to run Ejiro Evero's defense from the middle. Next to him should be Trevin Wallace, who was on a breakout pace before shoulder surgery ended his 2025 — but he's had a second procedure and isn't cleared for contact yet, which makes his camp ramp-up the biggest health watch on defense. We also cover Claudin Cherelus, who started the playoff game and led the team in tackles in it, plus special teams stalwart Maema Njongmeta, seventh-round flier Jackson Kuwatch, and Gamecock great Bam Martin-Scott fighting for a spot.WHAT'S IN THIS VIDEO:The Devin Lloyd signing and coverage upgradeWallace's injury timeline and outlookCherelus, Njongmeta and the depth pictureKuwatch and the rookie fliersLB depth chart predictionsSubscribe to Two Growls One Roar for the full 90-man series. Does Lloyd make the Pro Bowl in year one as a Panther? Comment below.

The Panther's released their schedule yesterday and the gang goes through it and reacts to having to play Bob and the Maple Leafs in March. Tobin sits down with Giannis and scares him about the lizard encounters he may have now that he lives in South Florida as well as how he is feeling after joining the Miami Heat, leaving Milwaukee, playing with Bam, and more! We wrap things up with trying to Tickle Leroy's Fancy; but he only cares about Golf.

David, Ryan, and Tim react to Georgia State being picked last in the Sun Belt preseason poll before diving into a bigger question: what keeps Panther fans coming back year after year?The guys share how they each became Georgia State fans, discuss the unique “Panther Family” culture that has grown around the program, and debate whether campus revitalization can build stronger school pride. They also touch on Sun Belt Media Days, the transfer portal, NIL, fundraising, downtown Atlanta's growth, and what Georgia State Athletics can do to build a stronger fan base for the future.If you've ever wondered why Georgia State fans keep showing up through the highs, the lows, and everything in between, this episode is for you.Follow usWeb: http://stateofatlanta.comFacebook: http://facebook.com/STATEofAtlantaTwitter: http://twitter.com/STATEofAtlantaYouTube: https://www.youtube.com/@STATEofAtlantaSupport the showPatreon: http://patreon.com/STATEofAtlantaRock our swagMerch: http://merch.STATEofAtlanta.com

Welcome back to a special league-wide edition of Guerilla Sports Off Ice! Leo Carlsson's $90M offer-sheet continues to be arguably the biggest news of the NHL offseason. Now that the Ducks have offically matched Philly's offer and have the contract on their books, what does it mean for Anaheim? Rumors are circulating that Cutter Gauthier won't take a penny less than Leo's new contract. Will the Ducks be able to shake their new contract issues? Or is this the start of a downfall in SoCal? We're joined on the episode by a very special guest, Zach Cavanagh! Zach is an Anaheim Ducks reporter for The Sporting Tribune, host of the ‘Ducks in Deep' Podcast and a member of the Anaheim Chapter of the PHWA. Zach gives his inside perspective on the Leo Carlsson contract situation, how the Ducks community is reacting to matching the offer-sheet, and his understanding of how Anaheim will tackle their cap situation now that they have an NHL record-breaking contract on their books. After chatting with Zach, Mark Robinson is joined by Michael Gurzhiev, a senior creative at Guerilla Sports, who is pinch-hitting for Jesse Montano while he's out on vacation. Mark and Michael overview a handful of topics, and close things out with a fun game.

Dave goes solo to discuss the latest Panthers news and other topics.

Wanna tell us how you feel about the podcast? Text us!Three lawyers. Four sandwiches. Zero filter.This week, Andy, Ed, and Terry bring in Ozzy's Market — one of St. Louis' newest restaurants, a grab-and-go café on Washington Avenue in Downtown West — straight to the Brown & Crouppen studio on The Hill for a taste test. On the menu: chicken salad, Italian combo on focaccia, chopped cheese with tomato jam, and a spicy house-made meatball sub. Spoiler: the tomato jam is doing a lot of work.But as always, the food is just the starting point.This episode covers:• Private equity buying hospital systems — and the 13% rise in ER death rates nobody is talking about• Why AI is the single greatest financial and security threat facing American consumers right now• Online scams targeting older adults and why one of our aunts dumped her boyfriend over a $50,000 email scheme• Porch pirate explosion videos: real, AI, or entrapment?• Polymarket and prediction markets — and whether the UFO files are actually getting declassified• Health tracking wearables: Oura Ring vs. Whoop vs. Panther, and what HRV actually means• Michael Dell's $6.25 billion donation to Trump accounts — generous gesture or the world's most pointless gift?• Nikki Glaser, writing jokes, and a challenge for next episodeFilmed at Brown & Crouppen Law Firm Studios on The Hill, St. Louis.---Subscribe wherever you listen so you never miss an episode.

The Carolina Panthers exceeded expectations by reaching the playoffs last season, but can this young roster take another step forward in 2026? In this episode of A Look Inside, we break down the Panthers' fantasy football outlook and identify the players you should be targeting—and the ones you should approach with caution—in your 2026 fantasy football drafts.Bryce Young enters another critical season with hopes of leading Carolina's emerging offense. We discuss whether Tetairoa McMillan can develop into the true WR1 the Panthers envisioned, if Jonathon Brooks is finally healthy enough to become a fantasy difference-maker, and whether Xavier Legette and Ja'Tavion Sanders can carve out meaningful fantasy value.Whether you're playing redraft, keeper, or best ball, this episode provides the analysis you need before drafting Panthers players this season.Topics Covered:Carolina Panthers fantasy football previewBryce Young 2026 fantasy outlookJonathon Brooks breakout potentialTetairoa McMillan fantasy valueXavier Legette & Ja'Tavion Sanders analysisPanthers sleepers, busts, and draft values2026 fantasy football draft strategyIf you feel like talking ball with us, come and join the Club Fantasy FFL/Women of Fantasy Football Discord!

This month Mark had a nightmare on the bank. We kicked off our usual podcast ramblings live in session. We only had a few hours to try and get a bite live on the podcast mic but lets just say it didn't go to plan. Mark hasn't been fishing for ages, he was rusty to say the least and everything he touched seemingly went wrong. That aside we eventually got to settle down and discuss our movements over the last four weeks, a trip to Holland in 38c sun, carp care and the recent paper that seems to point to it's lack of impact on the fish, we also discuss the benefits of handling carp in the water and how using Ai carp in bait adverts has begun!  The Panther is back in full Sermon flow and our special guest this month is our good pal, the Welsh Choir Boy himself, Luke Kennard. I've been wanting to get Luke on for some time as he recently embarked on an adventure to track down and catch two carp that lived in a remote, Welsh mountain lake. This adventure was captured on his cameras on his YouTube channel - Kennards Reel Adventures, it's a must watch. Enjoy.   

David, Ryan, and Tim welcome Georgia State insider Ben Moore for a wide-ranging Panther football conversation. Ben breaks down Dell McGee's recruiting momentum, the reshaped roster, how Georgia State is navigating NIL and revenue sharing, and why Cam Brown has the keys to the offense heading into a pivotal season.They also talk bowl-game paths, the Kennesaw State matchup, roster-building through the transfer portal, and what Ben is hearing about the Panthers' new-look defense and offensive line. Plus, a quick look at basketball under Coach Kremens and the state of Georgia State athletics.Follow usWeb: http://stateofatlanta.comFacebook: http://facebook.com/STATEofAtlantaTwitter: http://twitter.com/STATEofAtlantaYouTube: https://www.youtube.com/@STATEofAtlantaSupport the showPatreon: http://patreon.com/STATEofAtlantaRock our swagMerch: http://merch.STATEofAtlanta.com

Our first guest Ellie watched two pumas in Wiltshire in April this year. Still fresh from the excitement she describes the incident, and the new sense of wildness it brings to the British landscape for her. She also explains how this experience influences her work as an artist. She has recently seen a darker shaded puma in a sanctuary in Georgia, USA, that matches the colour tone of the Wiltshire ones.    Ellie has been invited to Wildside (ep 137 of our podcasts) to be an artist in residence, to illustrate pumas and other animals at the sanctuary. Some of Ellie's working sketches and illustrations of the pumas are available to see on The Refs & Links page of the Big Cat Conversations website.Our second guest Sophie was staying at a property next to Wildside in Herefordshire last year. Her fish barbeque had already attracted two farm cats one evening, but then a much bigger one entered the grounds. The farm cats dived for cover, and Sophie discusses whether it was the barbecue smell that attracted the puma-like big cat, or the wailing sound coming from nearby at Wildside, that sounded like a puma on heat…  Words of the week:   rufous pelage 30 June 2026

It is no secret that Tobin has been having a hard time with the idea of the Panther moving on from Sergei Bobrovsky and he just isn't prepared for the day he might have to say goodbye to him. Kel'el stroll down memory lane with his time with the Heat on instagram; which brings the guys to speak on whether or not the Heat might retain Wiggins and if not who will they go seek to fill the holes. We then wrap things up with dipping into the mixed bag!

It is finally Friday! And we are happy to report that the viral sad Marlins dog owner has been found and the pooch will be getting his dream day at the park. Tobin has been on edge as we await Sergei Bobrovsky's future with the Panthers; and last night good ole got a big scare from the Panther's social media. The gang discusses the potential of Lebron bringing his talents back to South Beach!

Send us Fan MailOur Patreon - https://www.patreon.com/HockeyCardsGongshowOn this episode of the Hockey Cards Gongshow podcast we start with Get To Know Your Hockey Hall of Famers, this time looking at the life, hockey career, and hobby market for hockey hall of famer, Harry Howell (14:08).  Next, are you willing to pay the rookie chase tax? (26:03).  In hobby news, Brady Tkachuk gets traded, Alexis Ohanian buys college sports cards manufacturer Onit, and a sports cards video game (43:33)?  We rank the best rookie parallels serial numbered /100 or less (1:28:33).  In new product releases, we give our initial 2025-26 SP Authentic reactions (1:53:22), then end the show by sharing our recent personal pickups (2:02:48).Partners & SponsorsThe Upper Deck Company - https://www.UpperDeck.comGongshow Breaks - https://www.GongshowBreaks.comGongshow Reloaded - https://www.GongshowReloaded.comHockeyChecklists.com - https://www.hockeychecklists.comSlab Sharks Consignment - http://bit.ly/3GUvsxNSlab Sharks is now accepting U.S. submissions!GP Sports Cards - https://gpsportcards.com/Total Sports Cards - https://totalsportcards.comSign up for Card Ladder - https://app.cardladder.com/signup?via=HCGongshoFollow Hockey Cards Gongshow on social mediaInstagram - https://www.instagram.com/hockey_cards_gongshow/TikTok - https://www.tiktok.com/@hockey_cards_gongshowFacebook - https://www.facebook.com/HockeyCardsGongshowTwitter - https://twitter.com/HCGongshowThe Hockey Cards Gongshow podcast is a production of Dollar Box Ventures LLC

He's arrived! Just a few days after being acquired by the Florida Panthers in a blockbuster deal, Brady Tkachuk joins the Territory Talk podcast to discuss how the deal went down, his move to South Florida, playing with his brother and more. Plus, the newest Panther answers some quick-hitters on everything from food to favorite Disney characters.

We're excited to have Databricks join us at AIEWF, among hundreds of the top companies in the AI Engineer ecosystem. LS subscribers can use their discount to get past the late bird pricing and access over $50k in sponsor offers! Everyone is still talking about Satya's Frontier Ecosystems post, but few have actually built a (now $175 billion) frontier ecosystem and cloud like our guests today.From open-sourcing the layer above coding agents to rethinking databases for the agent era, Databricks cofounders Matei Zaharia and Reynold Xin are pushing the company beyond the lakehouse into a full data-and-AI operating system. In this episode, Matei and Reynold join swyx at the 2026 Data + AI Summit to unpack Omnigent, LTAP, Lakebase, agent security, open formats, Mosaic, and why databases may matter more than ever once AI agents start doing real work.We go deep on Omnigent: Databricks' open-source meta-harness for combining, controlling, and sharing agents across Claude Code, Codex, Cursor, Pi, custom agents, and internal tools. Matei explains why coding agents and enterprise agents run into the same problems: portability, collaboration, session history, security, spend controls, and the need for a common API above every harness.Then Reynold walks through Databricks' database dream: why CDC is brittle enough to joke that it means “continuous data corruption,” why HTAP has been the holy grail of database engineering, and why Databricks thinks LTAP gets most of the benefits by unifying the storage layer instead of collapsing every query engine. We also cover Databricks' infrastructure scale, the culture behind rapid prototyping, the difference between tech and enterprise customers, Databricks vs Snowflake, whether vector databases should have ever existed, the Mosaic model strategy, Genie, AI Runtime, RL fine-tuning, and the thesis that traditional software gets rewritten once the data is in the right place and agents sit on top.Databricks began as a company for the big data era. The origination of Spark from the Berkeley AMPLab which eventually turned into the product Lakehouse convinced enterprises that they didn't need a separate data lake, warehouse, ML platform, and governance layer. They just needed one open foundation where all of their data could live and be reasoned over.Since then a lot has changed, but data has only become more important. Data is no longer something you keep track of and analyze ad hoc, it's the necessary context agents need in order to act. So the framing has shifted from “where do we put all of our data?” to “how do we expose the right slice of state, history, permissions, and business logic to an AI system at the exact moment it's doing work?”If frontier model performance becomes commoditized, the durable advantage then becomes the company-specific context around them: proprietary data, governed access, operational state, transaction logs, workflows, and feedback loops. Which makes Databricks positioned perfectly.Now coming fresh off the Data + AI Summit 2026, the company is moving just as fast to keep up, announcing Genie One, Omnigent, LTAP, and many more, indicating a central mission in its newer work: Databricks is trying to become the operating system for enterprise agents.Models are getting good enough, but agents are only useful if they have the right context, permissions, memory, state, cost controls, and access to live business data. Fundamentally it appears that significantly better model performance in production is a systems problem, one that data guys like us are remarkably well prepared to solve!We discuss:* Why Databricks built Omnigent as a meta-harness above existing AI agents* Why coding agents and custom enterprise agents need the same infrastructure* The common API for agent sessions, files, streams, tool calls, and cancellation* Why persistent sessions, cloud sandboxes, sharing, search, and collaboration matter* Why Databricks open-sourced Omnigent instead of keeping it proprietary* Databricks' internal agent usage, cloud sandboxes, and coding workflows* The scale of Databricks: 50–60 million virtual machines a day and exabytes before breakfast* Why agent security needs contextual and stateful policies* How an agent could read confidential docs, install a compromised npm package, and leak data* Why spend control matters when an agent can burn $500 reading logs* Startup opportunities around coding-agent analytics, quality, skills, and spend* LTAP, Lakebase, and why Databricks wants to rethink the database stack* OLTP vs OLAP, CDC, and why data pipelines break at 3 a.m.* Why HTAP has historically been the holy grail of database engineering* Why Databricks thinks LTAP is “HTAP done right”* How writing transactional data into column-oriented formats changes analytics* Why agents need live operational context from databases, not just telemetry* How Databricks prototypes strategic systems without endless process* Enterprise vs tech customers, governance, procurement, and DIY culture* The “second system syndrome” risk of rewriting a database engine* Building a database engine from a decade of traces and quadrillions of data points* Why vector databases should never have been a separate category* Why open formats and AI changed the race with Snowflake* The Mosaic story, DBRX, Genie, document parsing models, and specialized model training* Why model customization and RL fine-tuning may become mainstream* Why “get the data there, slap some agent on top” may rewrite traditional softwareMatei Zaharia* LinkedIn: https://www.linkedin.com/in/mateizaharia* X: https://x.com/matei_zahariaReynold Xin* LinkedIn: https://www.linkedin.com/in/rxin* X: https://x.com/rxinDatabricks* Website: https://www.databricks.com* X: https://x.com/databricksTimestamps00:00:00 Introduction00:02:22 Omnigent and the Agent Infrastructure Layer00:08:39 Agent Clouds, Common APIs, and Open Source00:16:52 Databricks Scale and Internal AI Workflows00:18:03 Agent Security, Governance, and Spend Controls00:27:34 LTAP and the Database Dream00:30:30 CDC, HTAP, and Why Data Pipelines Break00:34:05 Lakebase, Parquet, and Live Data for Agents00:36:47 Databricks' Culture of Fast Prototyping00:43:40 The Dream Engine and Rewriting the Database Stack00:51:02 Vector Databases, Query Engines, and LTAP00:52:36 Databricks vs Snowflake00:57:48 Mosaic, DBRX, Genie, and Specialized Models01:03:11 Context, AI Runtime, and RL Fine-Tuning01:06:15 Why Data + Agents May Rewrite Software01:07:09 Closing ThoughtsTranscriptIntroduction: Databricks, Data + AI Summit, and Founder DynamicsSwyx [00:00:00]: Matei and Reynold from Databricks, welcome to Latent Space.Reynold Xin [00:00:06]: Hey, thanks for having us.Swyx [00:00:07]: Yeah.Matei Zaharia [00:00:08]: Yeah, thanks so much.Swyx [00:00:09]: thanks for taking time out. You have your Databricks, Data AI Summit going on. You were just telling me how the first summit that you guys ran was just 50 peopleReynold Xin [00:00:17]: Yeah, it wasSwyx [00:00:17]: in BerkeleyReynold Xin [00:00:18]: little meetup at Berkeley, I thinkMatei Zaharia [00:00:19]: YeahReynold Xin [00:00:19]: put togetherMatei Zaharia [00:00:20]: We were doing these tutorials and, yeah, just teach people Spark.Swyx [00:00:23]: Yeah. obviously now it's like, I think like the headline number's like 100,000 people around the world, 30,000 in person.Swyx [00:00:30]: it's a crazyMatei Zaharia [00:00:31]: AmazingSwyx [00:00:31]: community. Well, I just saw the keynote.Swyx [00:00:35]: Ali's just. Did was it obvious or that back when that Ali would be, like, such a great, like, CEO? LikeReynold Xin [00:00:42]: OhSwyx [00:00:42]: such a great presenter?Reynold Xin [00:00:43]: What do you think?Matei Zaharia [00:00:44]: I think among our group of founders it was clear that, I think he'd be the best at this.Swyx [00:00:50]: Yeah.Matei Zaharia [00:00:50]: And yeah, it turned out great. And he's, he's ramped up on so many topics growing a company. He would just go in and, like, study it and, be talk to all the experts. Like, even if he can't hire the person, learn enough about, like, finance and sales and whatever it was, and, and go from there. Yeah.Swyx [00:01:09]: Yeah.Reynold Xin [00:01:10]: he's obviously very high IQ and a very high EQ, but it wasn't. Like, Ali today is quite different from Ali from, like 10 years ago. I think there's a lot of work that he put in to, get to this point.Swyx [00:01:20]: Yeah. no, to me the most appealing thing about him is that he's funny. And like, it, it's, it'Matei Zaharia [00:01:26]: It's true, yeahSwyx [00:01:26]: it's hard to make jokes about, data warehousesReynold Xin [00:01:30]: About serious topicsSwyx [00:01:31]: securityMatei Zaharia [00:01:32]: YeahSwyx [00:01:32]: what have you.Matei Zaharia [00:01:33]: Oh, yeah. That's for sure.Swyx [00:01:34]: Yeah. So you guys launched a whole bunch of things. I'll, I'll just name check briefly, the stuff because we're not gonna cover everything. Omnigentt, your baby. LTAP, your baby, your dream engine.Swyx [00:01:47]: we're also gonna cover Genie, cover CustomerLake, you acquired PantherMatei Zaharia [00:01:52]: YeahSwyx [00:01:52]: Open Sharing, and there's Unity AI Gateway. A lot of these, I think, like, are things that you would expect a Databricks to do. It's, it's like part of the roadmap. Everyone in your category has similar things. But I think, probably the two of you are leading the two most unique and differentiated initiativesOmnigent and the Agent Infrastructure LayerSwyx [00:02:09]: on, in the landscape. Maybe we'll start with, Omnigentt we'll, we'll, we'll, we'll go into it. I do think that a lot of people are exploring this meta harness concept.Matei Zaharia [00:02:21]: Yeah, totally.Swyx [00:02:21]: What led you to it?Matei Zaharia [00:02:22]: Yeah. There were a couple of, like, converging lines, which I think is a good sign that you need something new. So on the one hand, there's all the coding agent info internally. We have really great, dev infra team. they built something called Isaac, that's like a wrapper on Claude Code and Codex, and, lets you use them either on the web in, like, sandboxes or, just on your dev machine or on your laptop or whatever. And then, they were adding all kinds of stuff there. And we saw all the more advanced engineers like, were building their own workflows with tons of agents, and they were building their own UIs and stuff on top or even on top of that. And then the other one was, like, us building agents. We ship this, like, data science agent called Genie on the research team, which I lead. We also build a lot of internal ones for various things, and then we have all the customer ones. And all of them running into this thing of like, “Oh, I need to switch model and harness and so on,” every few months. Plus the agent is, like, completely useless if you can't share sessions with someone and have history and have search and all this, like, layer on top of it for collaboration. I thought a bit about it from both contexts and, at first people thought it was weird. They're like, “Why are you doing coding agents and custom agents in the same thing?” But I said it's, it's the same problems and, you just wanna build the stuff that lets you deliver the agent, maybe control it if you care about security, and, make it portable across things. And then we prototyped some things as experiments. We saw, yeah, we can make it work, and then we built that for real.Swyx [00:04:06]: I'm wondering if this let's call it architectureMatei Zaharia [00:04:11]: YeahSwyx [00:04:11]: maps to anything in your careers in the past. like I always think about how a lot of things just tie back to operating systems.Swyx [00:04:18]: A lot of operatingMatei Zaharia [00:04:19]: YeahSwyx [00:04:20]: systems tie back to databases,Matei Zaharia [00:04:21]: SoSwyx [00:04:21]: or the other way aroundMatei Zaharia [00:04:22]: so the thing, I do think it ties a lot to, like, network protocols, internet protocol. we alsoSwyx [00:04:29]: Communication between entities.Matei Zaharia [00:04:30]: Yeah. We did stuff with, like, data sharing also, which is probably, most viewers probably won't know unless they'Swyx [00:04:36]: Yeah, open protocol is the term.Matei Zaharia [00:04:37]: Yeah.Swyx [00:04:38]: Open sharing. Open sharing.Matei Zaharia [00:04:38]: Open sharing.Swyx [00:04:39]: Yes.Matei Zaharia [00:04:39]: Yeah. So it's like you have a company, you maintain some table, like let's say like a Walmart or something. They have like the, inventory and what's been sold in each store. And then you also have suppliers, and they would love to produce more things and ship them, like, exactly the moment you need them. So they would love, like, real-time access to your table. So instead of like sending emails around or Excel sheets or phone calls, why can't you share like a view of that table in real time with them? Then they query, they, join it with their data, and they decide what to send. So it's one of these things where you, like you might ask like today since we can vibe code anything so fast, why do we even need to design like protocols or APIs or software? Why can't you just vibe code things on demand? But for this type of interoperability where multiple parties that are moving at different speeds are building stuff and you still want some layer on top to coordinate, you do wanna design it and build it. So it reminds me of that, like agents talking to each other and, users talking to agents and tools.Agent Clouds, Cloud Sandboxes, and Keeping Sessions AliveSwyx [00:05:42]: Reynold, any other comments alternative viewpoints?Reynold Xin [00:05:46]: I think, by the way, we had a debate on exactly which set of benefits would, matter a lot, and I think around the time we decided to do this thing I was telling Matei, “Hey,” it just happened to be there's a particular week that I was coding nonstopSwyx [00:06:00]: from the moment I woke up to, like, the moment I went to bed, I was, like, looking at my Claude sessions, my Codex sessions. And one of the things that was particularly annoying was having to keep my laptop open.Swyx [00:06:12]: I was driving to a doctor's appointment, and I remember because I wanted to make sure the whole thing continues working.Matei Zaharia [00:06:18]: But by the way, it's so comforting to hear you say that because I'm like, “I don't know if I'm a clown and I'm doing this or like.”Swyx [00:06:25]: Yeah. Like honestly, I was driving and I was tethering my laptop to my phone.Matei Zaharia [00:06:29]: huh.Swyx [00:06:29]: Keeping it on the side. Whenever I hit a red light, I started looking at what's going on my laptop.Matei Zaharia [00:06:35]: Yeah.Swyx [00:06:35]: And I just felt that was ridiculous.Matei Zaharia [00:06:37]: Yeah.Swyx [00:06:37]: It felt like we went back to the dark agesMatei Zaharia [00:06:39]: YeahSwyx [00:06:40]: programming. the productivity you gain from all this coding age is amazing, but, yeah.Matei Zaharia [00:06:45]: Have you heard of cloud?Swyx [00:06:47]: Yeah.Swyx [00:06:48]: It was crazy to me.Matei Zaharia [00:06:49]: Oh, the thing you were working on was the sandboxes or was this before that?Swyx [00:06:52]: It was a sandbox.Matei Zaharia [00:06:53]: Okay.Swyx [00:06:54]: I was workMatei Zaharia [00:06:54]: So you were inSwyx [00:06:55]: So I was approaching from a very different angle. I wanted to, “Hey, we're gonna have cloud sandboxes that doesn't shut down. You can get one very quickly,” but not just for running agentic sessions.Matei Zaharia [00:07:06]: Yeah.Swyx [00:07:06]: It's also for running development. So I was personally building that week, and through building that, I ran into all these issues, and then I wroteMatei Zaharia [00:07:15]: YeahSwyx [00:07:15]: a document for Matei, it's like, “Here's my wish list of what the actual environment should do.” And I think he ended up almost implementingMatei Zaharia [00:07:22]: YeahSwyx [00:07:22]: every single one of them.Matei Zaharia [00:07:23]: Yeah, I remember Reynolds saying, ‘cause my first prototype of this had just chats with your agent and he said, “I have to be able to open a shell, like my own shell and like list files and like tail them and stuff.” SoSwyx [00:07:36]: So SSH into a mainframe.Matei Zaharia [00:07:37]: Yeah. it has that now.Swyx [00:07:39]: Tailing my log.Matei Zaharia [00:07:40]: Yeah.Matei Zaharia [00:07:41]: Yeah.Swyx [00:07:41]: And also another thing I think I asked was, I had. I still use cursor for the sole purpose of rendering markdown files.Matei Zaharia [00:07:48]: huh. Yes.Swyx [00:07:49]: So I said, “If you just give me a way to see my markdown files and renderMatei Zaharia [00:07:53]: YeahSwyx [00:07:53]: them properly, I don't need a separate tool anymore.”Matei Zaharia [00:07:55]: Yeah.Swyx [00:07:56]: And I think you also built that in.Matei Zaharia [00:07:57]: Yeah, we, yeah, we did that, yeah. Yeah, we had a lot of engineers building, their own vibe coding setup. But then the other thing they all said is like, “Hey, I built something that's amazing for me, but, like, no one else on the team can use it ‘cause I don't have a server to collaborate.” And this is why we tried to set up, Omnigent, so you can have a server and have the security, set up in there. So, like log in with Google or whatever and, like securely share stuff. which. And that's where we've seen a lot of other agents like hit things. Like people think they prototyped an awesome agent, but it's not allowed to connect to like some really important data or whatever because of the security team.Omnigent Architecture, Open Source, and Common APIsSwyx [00:08:38]: Yeah.Matei Zaharia [00:08:38]: So yeah.Swyx [00:08:39]: Yeah. At this point, so for those watching along on YouTube, we're gonna putting up a image of the structure here, and we can talk a little bit of the architecture. I think I just want to have people understand, ‘cause like when we're talking about software, it can be very abstract and like here is what we're talking about. You've worked out in open source this entire platform and there's a runner component and server component with a uniform API that you've, you've figured out. any other element and obviously you can plug in all this, persistence layers and compute layers. This is a whole cloud. It's an agent cloud.Matei Zaharia [00:09:12]: Yeah. It's, it's got these components to work with it. The, a lot of the action happens like on the machine where you deploy your agent too. So whatever you've got on there, you can run. But yeah, it's, I think it's the minimal thing you want to have hosted, like collaborative agents and to have that server. And one of the reasons we open sourced it is, anyone building agents, this gives them an app they can start with and customize, which we were seeing in Databricks too. Like someone would make a nice, agent app and then other teams would ask, “Oh, can I just use yours for my agent?”Swyx [00:09:45]: Yeah, I think we had like five or six different agentic frameworksMatei Zaharia [00:09:48]: YeahSwyx [00:09:48]: built by every different team. They do all do more or less the same thing. Yeah, you need to. people wanna take something that works in Forkit, and you might as well have something open source. Yeah, which also was another question, which is interesting for Databricks. Like what do you choose to open source? What do you choose to make it proprietary? It's in. this goes back to Spark, right?Matei Zaharia [00:10:05]: Yeah.Matei Zaharia [00:10:06]: One, so one of the reasons to open source something is if you think it's a layer that will there'll be some network effect, it'll benefit from many, people collaborating, on it. So, for example, with Spark, I don't know if when Spark came out, we also focused a lot on letting you have libraries on top. So like there used to be differentSwyx [00:10:28]: EcosystemMatei Zaharia [00:10:28]: distributed computing engines for like machine learning and graph computation. We said they should all be libraries that you can compose. And we made it super easy to add connectors to data sources too. And then we benefit because, we don't have the time to write like connectors to like, 1,000 like different databases and file formats, but we can just use the ones people make, and of course they benefit from joining, this thing. So that's like one of these as it. Another way to think about it is like imagine, we our thing wasn't open. We had some agent hosting thing, but it's not open and then there is an open one. if you're. Which one's gonna win in the long run? So like here, because there is this benefit from like people writing integrations, it'll be, it'll be that. And then there are other things that like you just can't, even deliver as open source that are things the company does. Like for example, how do you make sure you're like streaming, jobs or your Lakebase database doesn't like, lose all your data at night? Well, that requires an operational team that's gonna sit there. There's no way it has to be a service. So like we wanna make sure as a company we're really good at those infra services and then we're as open as we can in terms of like what you build on top.Swyx [00:11:42]: speaking from a benefits, I think we are already seeing pull requestsMatei Zaharia [00:11:45]: YeahSwyx [00:11:45]: of all kinds of ecosystem integration, even though it was only released on Saturday.Matei Zaharia [00:11:50]: Yeah, Saturday. Yeah. So someoneSwyx [00:11:51]: Let's see, let's see what's going on. Yeah, you can look at the merge ones. I asked Sam Nigon this morning aboutMatei Zaharia [00:11:59]: 400 merge already?Matei Zaharia [00:12:00]: Yeah. I think Recent quite, I would guess around half are not from our team. but for example, someone added support for running it on Kubernetesrnetes. people added, many cloud sandboxes, so this can launch a cloud sandbox and run your agent in there, which is great for sharing too, ‘cause it's not, like, on your laptop and someone's, like, running scary code on there. so yeah, many startups have put those in, and, we expect to see more of them. We also have more agent harnesses already. Cursor, CLI, and Antigravity also.The Modern Data Stack and the Emerging AI StackMatei Zaharia [00:12:34]: Yeah. That's all, beautiful. And I, I feel like the last time this happens, there was the rise of the modern data stack.Matei Zaharia [00:12:42]: I don't know if it's that useful. I'm, I'm curious in your postmortem.Matei Zaharia [00:12:46]: I think most peopleSwyx [00:12:47]: AgreeMatei Zaharia [00:12:47]: will agree that it is finally dead. but maybe this arises to a new modern AI stack that, like, does the same thing.Matei Zaharia [00:12:52]: I don't know.Reynold Xin [00:12:54]: I think the modern data stack was a pretty useful thing, probably even up until this day. I think what, maybe for the audience who don't understand the history, I think the modern data stack is effectively decomposed into you need a layer to ingest the data in, you need a layer to transform your data, and then all of this are run, and then you need a layer to maybe visualize your data. And all of this runs on some data warehouse, or later on, as we're doing data warehouse or lakehouse.Reynold Xin [00:13:21]: I think that concepts are all very powerful and very useful. They enable a lot of workloads. What people eventually run into is a question of unification and consolidation is, hey, do you really need to chop all this into different pieces and work with so many different vendors and platforms in order to get, like, a very simple visualization done, right? So I think, like, over time, everybody started realizing that customers are pushing us. We started, we can realize that, so we started building more and more capabilities and trying to consolidate. And at the end of the day now, customers don't have to worry about having me hook up five different systems in orderMatei Zaharia [00:13:55]: YeahReynold Xin [00:13:55]: produce a chart. But the. I think, honestly, something like this is probably happening, in how many different frameworks do you want to hook up together in order to produce, like do a very simple agent.Matei Zaharia [00:14:06]: Just to be clear, I would say the core of this is this common API on top of all the harnesses. So the API is like, you've got an agent session, and you can send in a message or, like, a file. That's what you can send in, and then you get out, these streams as it's streaming text or as it's doing tool calls. And, or the other thing you can send in is you can, like, tell it to cancel a turn. So that's the API. Now, the thing we did is we could get you that on top of, like, cloud code running in a terminal, Codex, Py, OpenAI SDK, all that stuff. We map them all to that same interface. So that is something that you'd have to maintain yourself if you built your own, like, agent orchestrator, and then whenever cloud changes its API, you gotta, tweak your thing or it's gonna lose some messages. So that's the thing that's valuable to maintain. Then on top of that, like, we built a few apps. I think we built a pretty cool UI and stuff, but that's, And we built a security and control piece, which I'm excited about. But it's that common interface, so we don't. We. That doesn't try to be a stack. And in fact, you could plug in your own UI on top of this, server. That, and that's one of the use cases we care a lot about, ‘cause we want to use this in our own products.Compute, Sandboxes, and Databricks ScaleSwyx [00:15:20]: Yeah. It should be everywhere.Matei Zaharia [00:15:22]: Yeah.Swyx [00:15:22]: I think one of those things that is really interesting to me is, like, well, first of all, I'll, I'll endeavor to do everything and not call it the modern AI stack because like it needs a different name.Matei Zaharia [00:15:32]: Yeah.Swyx [00:15:32]: But like, yes, like, so one of the first people that told me about compute, sandboxing was Nikita from Neon.Swyx [00:15:39]: Because a lot of people think about Neon as like, well, it's serverless Postgres with, like, the separation of compute and storage and, instant branching and all those things. But every database company is also a compute company.Matei Zaharia [00:15:51]: Yeah. Yeah.Swyx [00:15:52]: And so he was showing to me his whole, his sandboxing solution. I don't think he have ever launched it.Matei Zaharia [00:15:57]: So our sandbox solution, the reason we could build it so quickly was because we realized if you just take the actual Lakebase architectureSwyx [00:16:05]: YeahMatei Zaharia [00:16:05]: and remove the database from it, by the coming from NeonSwyx [00:16:08]: Exactly, rightMatei Zaharia [00:16:09]: you have this sandboxSwyx [00:16:09]: Every database company has it already, yeah.Matei Zaharia [00:16:11]: Now, there are some differences. For example, in the one to support this particular workflow, it's important to have local persistence,Swyx [00:16:19]: YeahMatei Zaharia [00:16:19]: because you want your state to persist. Your libraries, you don't have to install your library every time, right?Matei Zaharia [00:16:24]: whereas the Neon architecture, because of the separation of storage from compute, you don't need persistent local disk.Swyx [00:16:30]: Yeah.Matei Zaharia [00:16:30]: So there's some differences.Swyx [00:16:32]: Yeah.Matei Zaharia [00:16:32]: But the, at the end of the day, yeah, it's, Yeah, so this is when you run, like, a coding sandbox. Like, if I use it, yeah, we have the dev env internally at Databricks. There's, like, many, like, tens of gigabytes of data just for, like, all the source code and, like, artifacts and stuff that I built, and I want that to come back next time, so.Matei Zaharia [00:16:51]: Yeah.Matei Zaharia [00:16:51]: But yeah.Matei Zaharia [00:16:52]: Before the show, we was talking about some statistics that might be surprising at the adoption.Matei Zaharia [00:16:56]: It could be internal, it could be external, whatever comes to mind, just to impress people the scale this is happening.Swyx [00:17:02]: So we, on the analytics side, I think we launchedReynold Xin [00:17:06]: Maybe 50 or 60 million virtual machines a day across all three clouds, so we're one of the biggest compute orchestrators out there.Reynold Xin [00:17:13]: Stuff for sure for CPU compute.Swyx [00:17:14]: Yeah.Matei Zaharia [00:17:14]: Yeah.Reynold Xin [00:17:15]: the. And all of this process, I think exabytes of data, I joked about depending on which time zone you are, typically before you have breakfast, Databricks would have processed exabytes of data already on that day. and on Neon, it's pretty interesting, too. It's launching, I think, 13 million databasesSwyx [00:17:34]: YeahReynold Xin [00:17:34]: a day now.Swyx [00:17:35]: Yeah, to me that was, like, aReynold Xin [00:17:36]: And that's just likeSwyx [00:17:37]: Like, what do you mean?Matei Zaharia [00:17:38]: Yeah. And that's the point.Reynold Xin [00:17:40]: And a lot of those were thanks to agent- agents and branching experimentationSwyx [00:17:44]: YeahReynold Xin [00:17:44]: because we made it so easy and so quickly, and thanks a lot to Nikita's team, to launch databases. It's, the. So it's changing the way people use databases.Swyx [00:17:54]: Yeah. Okay, we're gonna go into more database talk in a bit, but I wanna make sure we close up anything on Omnigentt. you mentioned, you were excited about the securityOmnigent Security, Contextual Policies, and Spend ControlsSwyx [00:18:03]: control side.Matei Zaharia [00:18:04]: Yeah.Swyx [00:18:04]: a lot of companies are figuring that out right now, as well as the spend side.Matei Zaharia [00:18:08]: Yep.Swyx [00:18:09]: what have you found there?Matei Zaharia [00:18:11]: Yeah, so I spent quite a bit of time talking to internal users, developers, security team, managers, and also lots of customers, and there's a few things. Like, first of all, one thing, that immediately was. became obvious is for security, there's this tension between, like, usability and security. And, the way people do. Like, a lot of coding agents today have very basic things like you can tell me which tool patterns I'll allow or disallow or whatever. It's like yes or no. But that puts you in a very tough spot. So just as an example, like, should my agent be able to read, some confidential documents, or let's say, should it be able to install new packages from npm, which, maybe it's compromised. Yes or no? Like, maybe I wanna allow it. Should my agent be able to publish stuff to the company website? Well, if I'm using it to code on the website, yes. But should it be able to do both, so it can, like grab a confidential document and be prompt injected and leak it? Probably not. So the thing we decided we need is stateful or what we call contextual policies where you keep track of the state of that session. It's not like is it allowed to push to the marketing site or not, but, like, hey, if it did a risky thing, like it installed, a old package from npm, or it read, like, 1,000 confidential docs, then no. Then don't, don't do it. Otherwise, maybe it's okay. That's one example of, like, moving that trade-off so it's both more secure and more useful by having a more powerful engine, essentially. This requires tracking sessions. The other piece that was interesting there is, like, there are these very level events it's doing, and you want some libraries on top that parse them. Like, for example, we have a, MCP server on Google Drive internally. It's got 60 API calls. like, how do I know which of those, like, will share a document with stuff on the internet and which ones won't? It's, it's annoying. So we designed in Omnigentt the policy layer so that it's functions and you can have libraries. Like, someone can make something that maps the level events to high-level ones, and then you write a policy about the high-level things that came out. so and thatSwyx [00:20:25]: This is related to the Panther,Matei Zaharia [00:20:27]: Yeah, Panther is. will help with that. PantherSwyx [00:20:30]: YeahMatei Zaharia [00:20:30]: a similar idea on the event processing side, and it's Python-based versus a weird custom language. this is more, as in realSwyx [00:20:39]: I didn't even know we were good yeah.Matei Zaharia [00:20:41]: Those things are happening, yeah.Swyx [00:20:42]: Yeah.Matei Zaharia [00:20:42]: So yeah, but these are the cool things. I think the contextual or stateful part, and then the way it can be libraries, and that was another reason to make it open source because others will write libraries and, like, we and our customers can use them. And the final thing, because it's stateful, one of the states we track is how much you spent in that session. So I can. I've had, like, I ask an agent to debug something, and it spent $500 because it decided to read a lot of log files and burn a lot of tokens. but I can literally say, “Okay, launch a agent to do this and cap it to spending $5.” Like, ask me for permission if it needs more. And because we're counting that within that session, it'll pop up and tell me, “Okay, you spent five, $5. Do you wanna go on?”Reynold Xin [00:21:27]: So important context here. Matei spent the last five years, a lot of his time was architecting Unity Catalog at DatabricksMatei Zaharia [00:21:34]: YeahReynold Xin [00:21:34]: which is the governance layer for data.Matei Zaharia [00:21:35]: That's right, yeah.Reynold Xin [00:21:36]: And he's combining expertise at that layer together with all the AI governance he knows.Matei Zaharia [00:21:41]: Yeah.Swyx [00:21:41]: DoMatei Zaharia [00:21:41]: But I also spent a lot of time being annoyed by coding agents and getting prompts.Matei Zaharia [00:21:46]: And also as theReynold Xin [00:21:48]: All the aboveMatei Zaharia [00:21:48]: I don't want to end up on the front page as, like, I installed some weird npm package and leakedSwyx [00:21:53]: YeahMatei Zaharia [00:21:53]: all the code, so I'm especially paranoid. But also I have very little time, so I don't want to sit there approving, like, do you want to run a 20-line, bash script, yes or no? so that's why I spend a lot of time figuring out, like, how can I make it as safe as possible and not annoying?Swyx [00:22:10]: Yeah. Is safety and mmm, let's call it security a bigger concern than token maxing or token budgets? which one is, likeMatei Zaharia [00:22:19]: Oh, yeah, they're both there. I don't know. I guess it depends on the type of company you are. So I think, some companies, like, the budget is, limited and, they really care about thatSwyx [00:22:34]: you can be Uber and still be concerned?Matei Zaharia [00:22:36]: Yeah. Oh, yeah, totally. Yeah. If you haveReynold Xin [00:22:38]: for us, securityMatei Zaharia [00:22:39]: YeahReynold Xin [00:22:40]: super paramount.Matei Zaharia [00:22:40]: For us, security is absolutely critical as a, cloud provider. It's, it's the most important thing, and, token maxing, we're not so worried about it yet, but I've seen the Like, for example, I talked to some consulting companies. They have, like, 100,000 employees who are all coding for customers. If those each spend, like, an extra $1,000 a month, that's, that's not fun.Swyx [00:23:04]: YeahMatei Zaharia [00:23:04]: we have, like, only a few thousand engineers.Swyx [00:23:06]: What's the policy in Databricks? Is it just unlimited or what'Matei Zaharia [00:23:08]: It's, it's unlimited, but we do. we use our own product to, like, analyze the traces and stuff, and we have a team that'looking to optimize and to see if anyone's doing something weird. And, we had some really cool insights just from analyzing current traces, like whichSwyx [00:23:24]: YeahMatei Zaharia [00:23:25]: models are better at, say, Rust versus like TypeScript or whatever. So yeah, at least in our code base.Swyx [00:23:31]: Yeah. Amazing. Obviously, I have to ask the token question, obviously.Matei Zaharia [00:23:34]: Yeah.Swyx [00:23:34]: I think it'sReynold Xin [00:23:34]: YeahSwyx [00:23:34]: it's a key thing. But yes, security and control above that, and figuring out a sane layer there you can have some autonomy, but, not too much.Matei Zaharia [00:23:43]: Yeah. Yeah, and we wanna make it super easy. As a engineer, you should set a thing. So in Omnigentt, you can ask your agent, “Set a policy on yourself to do this.” So it can likeSwyx [00:23:52]: But if there's something I should be showingMatei Zaharia [00:23:53]: YeahSwyx [00:23:53]: I don't, I don't see it on the GitHub, but,Matei Zaharia [00:23:55]: Oh, yeahSwyx [00:23:56]: there's justMatei Zaharia [00:23:56]: Well, in the docs there's something.Swyx [00:23:57]: Yeah, this is it.Matei Zaharia [00:23:58]: You can look at it later.Swyx [00:23:59]: Okay. Yeah.Matei Zaharia [00:23:59]: Just look in the docsSwyx [00:24:00]: YeahMatei Zaharia [00:24:00]: contextual policies if you wanna see.Swyx [00:24:04]: I just like to point peopleMatei Zaharia [00:24:05]: look at the built-in policies.Swyx [00:24:06]: Yeah.Reynold Xin [00:24:06]: Yeah.Swyx [00:24:06]: If you want to, follow up on this is exactly where to look, right?Reynold Xin [00:24:10]: Yeah.Matei Zaharia [00:24:10]: Yeah. yeah, and the story of these is, like, I just wrote, like, I wrote a doc with like 10 ideas for things before as you were working on them. Well, that was, like, my wish list of things people asked, and I told the team, like, “Hey, can you do like at least five of these for the launch?” And then they just got back with all of them, so.Swyx [00:24:29]: Oh, wow.Matei Zaharia [00:24:29]: so you can come up with more, but them- some of them are just meant to be examples. really you can intercept, like, any event the agent is making, and you can then either block or force it to ask the user or, like, allow, and you can update state to keepSwyx [00:24:45]: YeahMatei Zaharia [00:24:45]: track stuff.Swyx [00:24:46]: Yeah, ‘cause ultimately you're, I think of you as, like, a systems designer.Swyx [00:24:50]: You let people plug in, right? That's the wholeMatei Zaharia [00:24:51]: YeahSwyx [00:24:52]: modus operandi of what you do.Matei Zaharia [00:24:53]: Yeah.Swyx [00:24:54]: It's likeMatei Zaharia [00:24:54]: And we care a lot about also composab- like, can someone else write a library that others use, whichSwyx [00:24:59]: YeahMatei Zaharia [00:24:59]: this is meant to.Reynold Xin [00:25:00]: There's also a batteries included philosophy hereMatei Zaharia [00:25:03]: YesReynold Xin [00:25:03]: probably very similar to how you did Spark, which is you could just start using.Swyx [00:25:06]: Yeah.Matei Zaharia [00:25:06]: Yeah, that's right. It has to be good out of the box at certain things, and then you can build your own things on top that, like, we don't wanna do. But in Spark, if you just wanna like, I don't know, like read a table or do, like, a aggregation, it should be awesome at that out of the box.Building on Omnigent: Contributions, Startups, and AnalyticsSwyx [00:25:23]: Yeah. People wanna catch up on Omnigentt, they should watch your keynote.Swyx [00:25:26]: they should go through the GitHub and the docs. If they wanted to contribute, or they want to build on this ecosystem what would you call out as the most high-leverage places get involved?Matei Zaharia [00:25:36]: Yeah, do get involved in the Discord and in GitHub. Our team is there, is monitoring, and, some of the things people ask for we just built ourselves. Some of them, we're, we're collaborating with them to build it. and also tell us, likeSwyx [00:25:49]: Yeah, they're gonna be veryMatei Zaharia [00:25:49]: how you would like to use it because I think especially for developers, like, everyone wants it to work their own way, and a really good developer tool, like you have to hear the feedback on all the ways and figure out the abstractions and how to let people customize. So we'd love to hear, like, if you think, “Hey, I, I don't want it to work this way,” tell us. We really just wanna get that compatibility layer across agents and then let you do stuff on top.Swyx [00:26:14]: Yeah. is there any, in terms of like the startup side, I'm, I'm a founder.Swyx [00:26:18]: I wantMatei Zaharia [00:26:18]: YeahSwyx [00:26:18]: I see an opportunity, I wanna get in front of you. What's your request for, like, a startup that, like, I wish someoneMatei Zaharia [00:26:23]: Oh, like you wanna integrate with us?Swyx [00:26:24]: someone was working on this.Matei Zaharia [00:26:26]: Oh, for a startup?Swyx [00:26:27]: Yeah.Swyx [00:26:28]: Like, your, you got your own startup. It's doing well.Matei Zaharia [00:26:30]: Yeah.Swyx [00:26:30]: But like, if you weren't working on your own startup, what is, like, obvious that you should You advise many startups too, obviously.Matei Zaharia [00:26:37]: I do think, just as a company with a lot of engineers, like anything that helps me make sense of how people are usingSwyx [00:26:46]: SpendMatei Zaharia [00:26:46]: coding agents and,Swyx [00:26:48]: Yeah. AnalyticsMatei Zaharia [00:26:48]: spend, but also quality or like you should write, you should add this skill, or you should write this thing, or your agents are really horrible at tasks involving this service, so I go spend time. That would be nice. yeah.Swyx [00:27:00]: Yeah. The closest I've found is, this team, GitAI.Matei Zaharia [00:27:03]: Oh, cool. Yeah.Swyx [00:27:04]: They started with, like, we will just do, code and human attribution, but they're building the analytics layer on top of that.Matei Zaharia [00:27:12]: Yeah.Swyx [00:27:12]: I do think, like, there are a bunch of, like, artificial analysis is obviously,Matei Zaharia [00:27:18]: Yeah, they have their benchmarksSwyx [00:27:18]: doing super wellMatei Zaharia [00:27:19]: YeahSwyx [00:27:19]: with their stuff. so there's, there will be people. I think this is like the domain of consultants first, but then peopleMatei Zaharia [00:27:26]: YeahSwyx [00:27:26]: will build software that, let's say, it's kinda like the management planeMatei Zaharia [00:27:29]: YeahSwyx [00:27:30]: for coding agents.Matei Zaharia [00:27:30]: Yeah, I think there'll be a lot of insights there. You have it in other areas.Swyx [00:27:34]: Okay. Well, and then the other, big thing is your dream engine.LTAP: Lake Transactional/Analytical ProcessingSwyx [00:27:39]: maybe you wanna tell the story of, LTAP.Reynold Xin [00:27:45]: So, and background with. I'm, I'm gonna make people listen to our Ankur Goyal episode where we talked about SingleStore, HTAPMatei Zaharia [00:27:52]: YeahReynold Xin [00:27:52]: and all that history.Matei Zaharia [00:27:52]: Yeah. The LTAP idea is pretty simple. so if people have heard of the, Ankur's, talk about HTAP, it's effectively the world of databases. Sorry, there's like maybe a lot of context needs to be injected here. The world of databasesSwyx [00:28:06]: I am happy to be the database podcast that I'm forcing people to, like, learn your databases, guys.Swyx [00:28:11]: You cannot vibe code with just markdown files.Reynold Xin [00:28:13]: Yeah.Swyx [00:28:13]: Like,Reynold Xin [00:28:14]: It's one of the most important fundamental systems technologies out there. But the world of database effectively split into roughly two halves. There's what we call OLTP databases, which are transactional, and think of your Postgres, your MySQL, your Oracle databases, and the other side is what we call analytics, and sometime might refer to term OLAP. And the difference is on OLTP, you typically have maybe run some transaction on some event that looks up at one specific row. We update that row, right? It's a very oriented data structure. And on analytics, you're trying to reason on the data. You're trying to compute, “Hey, what's my revenue per store? What's my. How's my website doing every day?” And then you, eventually want to probably end up running anal- machine learning on it to predict, “Hey, how will my maybe sales be going in the future?” they are so very different architecture, and everybody start with OLTP databases. Every app, when you become serious enough, that needs more than markdown files, you need to have a database. You want to lose your data, you want to have some transactional consistency. But once you want to reason on the data, if you only have like- A hundred rows, it's probably okay to run it on your Postgres or your own, your MySQL database. But once you have more data and want to run more complicated analysis, the very analysis might crush your Postgres database. So you start doing, getting data out of the OLTP databaseSwyx [00:29:35]: Replication.Reynold Xin [00:29:36]: Replicate them into the analytic systems and just startSwyx [00:29:39]: Yeah, which for people, Elasticsearch is, like, aReynold Xin [00:29:42]: Yeah. So some of them get into Elasticsearch for, like, blocked analysis. A lot of our customers obviously get into Databricks to run more sophisticated things.Swyx [00:29:51]: Yeah.Reynold Xin [00:29:51]: And there's this term called CDC, whichMatei Zaharia [00:29:54]: Change data captureReynold Xin [00:29:55]: change data capture. and what it does, it reads the binlog of the database, and if you don't understand what binlog is, it's fine. The, but it's a little delta of the data, and it reconstructs based on the delta, the state of the database, on the analytics side. But CDC is, like, a very painful thing. It's how standard in the industry, everybody uses it, but, it ends up being. I think many data engineers ends up being waken up at, like, 3:00 a.m, because there's some pipeline thing.Swyx [00:30:22]: my explanation is, like, Airbyte is like a, became a $5 billion company just doing CDC.Reynold Xin [00:30:27]: Yeah, exactly.Reynold Xin [00:30:28]: CDC is, like, a veryMatei Zaharia [00:30:30]: It's hard.Reynold Xin [00:30:30]: It's one of the most boring but one of the most fundamental operations, like, powering modern society.Matei Zaharia [00:30:37]: huh.Reynold Xin [00:30:37]: But it's so brittle that, we joke that it's, should be called continuous data corruption, because you might change your schema on your OLTP database, and then the CDC pipeline fails to handleSwyx [00:30:48]: YeahReynold Xin [00:30:48]: the schema change.Swyx [00:30:49]: Yeah.Reynold Xin [00:30:49]: And then everything goes out.Swyx [00:30:51]: And there's all sorts of tricks that you can do, like, you add in, like, some versioning or whatever, but yeah.Reynold Xin [00:30:55]: Yeah, but it's a very, in general, very complicated. Like, I think at my keynote, I asked the audience put up their hand if they love their CDC pipeline. Only, like, maybe two people put it up. So if single store, like, about maybe a decade ago, I think the industry had this idea, hey, what if I built a single database that can handle both workloads? Now I don't.Swyx [00:31:12]: Which, like, by the way, every database person ever has ever always dreamed about this.Reynold Xin [00:31:15]: Yes. Yes.Reynold Xin [00:31:16]: This is the holy grail of database engineering is why not build a single system that can do both of this? But it ends up just being a lot of compromises. one, I think one of the first issue is that, hey, each. they say Postgres has a massive ecosystem, right? You want to be using the tools that's built for Postgres. And Spark, for example, had a massive ecosystem. There's a lot of libraries you want to use. If you were to create now a new thing, you don't have a ecosystem. You tend to create a new, smaller proprietary API, and you're lacking both, and it's also very difficult to make it performance-wise to be, comparable on either side. So it ends up being sucking on both. And our whole idea of LTAP, it's obviously a wordplay on the term HTAP, is that we think this is HTAP done right. HTAP wants to build a single engine for both. We think you can get 99% of what you need by unifying the storage, and just have a single storage layer. And once you have the single storage layer, if your Postgres databases are writing data in a column-oriented format, everything analytics can just go read that data directly without any delay, right? There's no pipeline in between, so all the data will immediately be available for reasoning analytics. I think I was telling some customers earlier, hey, when we talked about this is gonna be super useful for agents, I at first didn't really believe in it myself, even though we wrote that positioning.Lakebase, Agents, and Live Operational DataMatei Zaharia [00:32:39]: Yeah.Reynold Xin [00:32:40]: But then last night I was having dinner with a Australian customer, and they told me, “Oh, hey, one of the big issue we have is we have all these logs from our services, and we see SLA dips and want to investigate. But then there's no way for those agents to even understand what's going on in the actual databases themselves. All we see is just, like, product telemetry of the database and the services.” It would make those agents 10 times more powerful if understand, for example, who's placing those orders, what is happening, what exactly are they doing. So now I'm sold on our own message.Swyx [00:33:13]: Yeah.Reynold Xin [00:33:14]: I think it's really. It gets you the almost all of the benefits of the HTAP holy grail, which is, hey, make the data available immediately for reasoning analyticsSwyx [00:33:26]: Yeah, I think,Reynold Xin [00:33:27]: without compromiseSwyx [00:33:28]: in the way that humans are generally intelligent and want to have the ability and access to query anythingReynold Xin [00:33:34]: YeahSwyx [00:33:35]: while they do the work, they also need history and need context.Swyx [00:33:38]: And, like, where else does they get context? That's it's an analytical workload.Reynold Xin [00:33:41]: Exactly.Matei Zaharia [00:33:42]: Yeah. Yeah. And I remember when we had incidents with our databases and engineers said, “Well, I can't just run a giant query on it to see what's going on because that's gonna bring down the database and hoard it even more.” Like, that's the stuff that this gets rid of, because you spin up a whole separate fleet of machines that's doing the analytics. You're not overloading, like, the main databaseReynold Xin [00:34:02]: RightMatei Zaharia [00:34:02]: that's still trying to serve stuff.Reynold Xin [00:34:04]: Yeah.Matei Zaharia [00:34:04]: Yeah.Why LTAP Works Now: Parquet, Postgres, and LakebaseSwyx [00:34:05]: So this has been a dream for a while. what had to get done in order to get to today? Like,Reynold Xin [00:34:11]: Yeah.Swyx [00:34:11]: I feel like, you have announced variants of this several times, but it wasn't as clear as LTAP.Reynold Xin [00:34:18]: Yeah.Swyx [00:34:18]: I think LTAP is like Like, okay, we've got it, guys.Matei Zaharia [00:34:21]: This thing, yeah.Reynold Xin [00:34:21]: I was talking to somebody at Meta, and then he was asking me, “Hey, what's the catch? Why is it possible now?” And I think the reality is we took a lot of time to work on the Lakebase architecture. obviously a lot of it came from the Neon team, which is a separation of storage from compute. And it turned out it was just a tiny little step away going from that to this LTAP idea, which is, hey, we just. in the Neon architecture and in Lakebase architecture, we're writing data in oriented format to the open data lake, but in there we're writing in Postgres pages. Ali and I were spending a lot of time debating, hey, can we just change that to write in column-oriented format? And we're just debating, and one day, one of our engineers who's, like, super smart came in, he's like, “Hey, I just prototyped it. It works.”Swyx [00:35:07]: Wait, it's, prototype what?Reynold Xin [00:35:09]: Prototype, instead of storing the data in the data lake in the oriented formatSwyx [00:35:15]: ColumnReynold Xin [00:35:15]: like Postgres pagesSwyx [00:35:15]: YeahReynold Xin [00:35:16]: write them in Parquet.Swyx [00:35:17]: Yeah.Reynold Xin [00:35:18]: and he just made the observation that, hey, our storage fleet has a lot of extra idle CPUs And we could use those CPUs to do the transcoding from row to column, where row is good for OLTP, but column is good for analytics. so let's do that transcoding at that time. And as a matter of fact, once you transcode the data compresses better. So from those services writing to, for example, S3 or other data lake, like object stores, you can write them faster ‘cause now they are now smaller.Matei Zaharia [00:35:49]: Yeah.Reynold Xin [00:35:49]: So there's no overhead, it's no compromise in performanceMatei Zaharia [00:35:52]: Some CPU overhead.Swyx [00:35:54]: Yeah, because,Matei Zaharia [00:35:55]: YeahSwyx [00:35:55]: we had extra CPUs anyway.Matei Zaharia [00:35:56]: We had that fleet anyway, yeah.Swyx [00:35:57]: so the debate ended. it's one of the classics of, tech, issue of a lot of debate, but then somebody went ahead and just tried to prototype it and it worked.Matei Zaharia [00:36:06]: But, like, something this strategicSwyx [00:36:07]: That's rightMatei Zaharia [00:36:07]: and important to the company, I expect there to be, like, a kickoff thing, like a design doc. Nothing like that.Swyx [00:36:13]: Nothing like that.Swyx [00:36:14]: He just. We were debating in many meetingsMatei Zaharia [00:36:17]: Yeah.Swyx [00:36:17]: and then we're just debating whether it's possible or not from first principle.Matei Zaharia [00:36:20]: YeahSwyx [00:36:20]: and then, somebody just did it.Matei Zaharia [00:36:23]: Yeah, if you set yourself up so people do that'll be great. And that happened a bit with Omnigentt too. I think if I just had a doc on, like, we can make these together, everyone would, would think, “Oh, what about this? What about this?” But then you. if you try it out, it helps. And then if you have real users and they bash it and, like, it's still working, or in this case, if you have the workload, what the workload looks like, you can just test the same pattern then.Databricks' Culture of Fast PrototypingSwyx [00:36:47]: Yeah.Matei Zaharia [00:36:47]: Yeah.Swyx [00:36:47]: Tech aside, which is very cool, this is, like, the most important thing, the culture of innovation, and you don't have to ask my permission, you don't have like, do a whole form- formal process, just do it?Matei Zaharia [00:36:59]: Well, especially these days, I think withSwyx [00:37:01]: YeahMatei Zaharia [00:37:01]: AI, it's easier to buildSwyx [00:37:02]: But so, likeMatei Zaharia [00:37:03]: a prototypeSwyx [00:37:03]: I think you are very I made a lot of suite of, like, large companies and, like, I think that at scale, things slow down, and I'm sure you felt it already, but somehow you have this core of people that, like, are exempt. How? I think we hire and we work with really good people, and that's a very important part of it, and empowering them, but also spending a lot of time, maybe us in the trenches matter a lot also.Matei Zaharia [00:37:28]: Yeah, I think, I think first, people can adapt to being in the larger company, so that helps. And we wanna make sure they know that they can try stuff and settle debates and have a lot of examples of how it was done before, or launch a thing in beta or whatever. and then the other thing I do think as a company, like despite the size, we don't launch that many, like, products. We try to keep it pretty coherent. That's, that was the whole, like, theory of the company, was like instead of having, like, 20 Amazon services you need to set up, like a analytics and machine learning stack, you just have one, and it's, like, the same API, the same semantics across all of them, the same copy of the data. So that requires, like, unification. And then we added one more thing at a time. Like, we added storage with Delta Lake. We didn't used to do any storage. Then we added SQL, we added, machine learning platform stuff. So, but yeah, don't, don't do too many, but do those things well and, that also helps, it helps keep it manageable.Reynold Xin [00:38:33]: Yeah. The other thing we encourage a lot is instead of building, boil the ocean for everything, let's figure out how do we do it incrementally, how do we do it very quickly. Like, many of our productsMatei Zaharia [00:38:43]: YeahReynold Xin [00:38:43]: they're built in the span of weeks, and then we go to, hey. Like, usually my first question to whoever team is building is who's the target customer? Who are you working with? Are you on a first-name basis with them? Are you texting with them? I think having that very tight loop,Matei Zaharia [00:38:59]: Can you bring up another launch that comes to mind when, in this thing? I just want to give examples.Reynold Xin [00:39:04]: Omnigentt itself happened that way.Reynold Xin [00:39:05]: Yeah.Matei Zaharia [00:39:06]: Who's the customer? That's a good oneReynold Xin [00:39:34]: storage layer we did. we had, our largest customer at the time said like, “Okay, I need some. I want something in the cloud ‘cause, I. if the rest of our network is compromised, like this thing needs to be separate to store and query the events.” And then, talked to us, he said, “Okay, this is the rate of events per second. This is, like, the freshness I want. Can you do it?” So that was, like, way larger than any workload we had, and we had our, engineer, working on that, Michael Armbrust, and he worked just to make this work. And once it worked for them, it worked for everyone else. Yeah. This was early in the company, probably like four years in or something.Matei Zaharia [00:40:24]: 20- 2018?Swyx [00:40:26]: Yeah, ‘17, ‘18.Matei Zaharia [00:40:28]: Few companiesSwyx [00:40:28]: Do you have other examples?Matei Zaharia [00:40:30]: there'Swyx [00:40:31]: Maybe you have othersMatei Zaharia [00:40:31]: yeah, Clean Room, which is how you share data in a way without sharingSwyx [00:40:35]: YeahMatei Zaharia [00:40:35]: underlying data, but you allow specific operations. Those were done effectively initially just for two customers. I think the industry has a sense of, hey, maybe if you overfit to, like, one or two customers, it's gonna be really bad for you. But I think the, downside of overfitting is much smaller than the upside itself. And if you try to be too ambitious and boil the ocean, it's a much bigger problem.Swyx [00:40:58]: Yeah. Yeah.Matei Zaharia [00:40:58]: ‘Cause you might end up having no customer.Swyx [00:41:00]: Yeah, that's more, that's the more likely outcome.Matei Zaharia [00:41:02]: Yeah.Tech Companies vs. EnterprisesSwyx [00:41:03]: than you can pivot from there. I do think there is such a thing as a bad customer that sometimes you should fire. Yeah.Matei Zaharia [00:41:08]: They could exist sometimes if you drive. well, one of the challenge I think we probably see, and maybe many AI, so newer generation companies are seeing is, so tech companies are very different from tech companies or traditional enterprises.Swyx [00:41:22]: Yeah.Matei Zaharia [00:41:22]: And, if you optimize everything just for tech companies, you might have various challengesSwyx [00:41:27]: OhMatei Zaharia [00:41:27]: scaling them outside of tech companies.Swyx [00:41:28]: Okay, what likeMatei Zaharia [00:41:30]: YeahSwyx [00:41:30]: what like top three differences that you always think about?Reynold Xin [00:41:33]: Governance is a big oneMatei Zaharia [00:41:34]: I think, yeah, a big one is like, yeah, security, data privacy, governance, all that stuff. So usually if you're building some kinda like B2B or developer tool, like your biggest market is gonna be enterprises, but it's just very different. A company that's existed for like, it's had some form of IT for like 30 years, they have so many legacy systems or they operate in a regulated space. whereas a startup or, even like a, like sorta more recent tech company, all the. everything is new and pristine. So yeah, it's just different, and if you've never worked with enterprises or been in one, you just won't know about it.Reynold Xin [00:42:13]: Yeah.Matei Zaharia [00:42:13]: Yeah.Reynold Xin [00:42:13]: And the procurement process is probably quite different. There's far more stakeholders.Matei Zaharia [00:42:17]: Yeah, that is one. Yeah.Matei Zaharia [00:42:18]: Another piece that's interesting is I think some tech companies, people, will say, “Oh, I can build that myself,” right? I'll just build that myself.Matei Zaharia [00:42:27]: So then you go,Reynold Xin [00:42:28]: I don't think people say that about Databricks, butMatei Zaharia [00:42:31]: yeah, it dependsReynold Xin [00:42:32]: They do.Matei Zaharia [00:42:32]: They do?Matei Zaharia [00:42:32]: Yeah, the. Yeah, and it depends on the teams and things. So, but, on the other hand, like many of the enterprises say, “I don't, I never wanna be in the business of building that.” Like, I don't want my, whatever, I'm a retailer or something, I never wannaReynold Xin [00:42:45]: Yeah, sell clothes,Matei Zaharia [00:42:46]: be down because like some weird like nerd like couldn't get streaming pipelines working.Matei Zaharia [00:42:51]: That is not what I'm doing.Reynold Xin [00:42:53]: Yeah.Reynold Xin [00:42:53]: Yeah. This makes them great customers, to be honest, right?Matei Zaharia [00:42:55]: Yeah. But you have to understand that it's hard without having worked there and stuff, like you may not appreciate.Reynold Xin [00:43:01]: Look, I think they're all great. don't get me wrong, they have different challenges. But the, many of the tech companies, for sure there's a lot, far more DIY.Matei Zaharia [00:43:10]: On the flip side, you have people who are. they're very much experts in their domain, like they're building airplanes, they're, designing medicines, whatever, and they just want to bridge the technology, where like they don't wanna learn, databases or whatever. As cool as we think it is, even as interesting as the average software engineer might think it is to read a little bit, like they just never wanna know. They just say, “I have a, giant like, matrix or whatever with my, clinical data, like how do I, how do I like cluster it or whatever?” So yeah.The Dream Engine and Rewriting the Database StackReynold Xin [00:43:40]: Yeah. That's true. Okay, so and then I wanted to build out the dream engine, vision. where does this all lead? So one of the thing we, realized maybe a couple years back is that every single database engine out there, especially on the analytics side, are a decade old. pretty much everything that have reasonable traction are about a decade old. And they all started targeting some very specific narrow use cases, and then over time it's become more and more successful. They have grown in their ambition, and then they try to support more and more use cases. But the fastest way to support those use cases tend to be hacked around the abstractions that were initially created, that were not for those use cases.Matei Zaharia [00:44:23]: Yeah.Reynold Xin [00:44:23]: And then, but you can support them more or less okay. And before it, after 10 years of organic evolution that way, it becomes a gigantic pile of s**t.Reynold Xin [00:44:31]: the. And, but that includes Databricks. And very few company or very few systems, I think, have the gut to say, let's go start from scratch. Let's go back to the drawing board and design, knowing everything we know today after a decade of workloads and probably billions in revenue, let's attempt to rewrite it from scratch and make sure it will work and it can support all of these use cases. So we started doing that, but it's a very ambitious project. by the way, you can search on Wikipedia, there's this thing called second system syndrome.Matei Zaharia [00:45:08]: Yeah, I know that. Yes.Reynold Xin [00:45:09]: Or second system effect.Matei Zaharia [00:45:11]: Every developer must know what a second syndrome is.Reynold Xin [00:45:12]: It's you built your first thing and it works out great, and the second one's bound to fail because you become too ambitious.Reynold Xin [00:45:19]: And then you ask so many requirements.Matei Zaharia [00:45:20]: Or like you think everythingReynold Xin [00:45:21]: YeahMatei Zaharia [00:45:21]: and then you're likeReynold Xin [00:45:22]: You justMatei Zaharia [00:45:22]: you're, “I'm gonna design the perfect system this time.”Reynold Xin [00:45:24]: Yeah. And it turned out it's not perfect, and then it start failing and you're too ambitious, never launch, and you get killed. The, and the engineering team that started this, they were brilliant. I think we hired some of the best database engineers, on the planet into Databricks, and they were brilliant. Thank God it's not their second system. Many of them have built more than two in the past.Matei Zaharia [00:45:44]: Ah, nice.Reynold Xin [00:45:45]: But they were still worried about this, hey, building a database engine from scratch, I think the conventional wisdom is gonna take like five years to mature. This would be a very long-term project. It could fail. I think one of the engineers jokingly said, “Hey, maybe we just call it Reynolds Stream Engine.” If we name after a founder, maybe we then may get canceled or killed. But I think they built something pretty remarkable. they went back to. They changed the way the database engines were built from a paradigm point of view. Usually when y

The adventure in the Samurai City comes to a close, and Panther attempts to get back to Wakanda. As a vibranium-related crisis unfolds in his homeland, various roadblocks appear in Panther’s path to ratchet up the tension. Can he get home in time? Can his geeky relatives help stave off disaster? Who knew this about vibranium? Tim and Emmet react to surprise twists in Wakanda’s past. Brought to you by: Who's Who podcast Our supporters on Patreon

Full Show: Brady Tkachuk makes Panthers greater, Doug Plagens explains. Chris Perkins talks about how Malik Willis needs to be great for Dolphins to do well & Anthony Bender almost quit baseball but lucky for The Marlins, he did not.

Another blockbuster deal for the Florida Panthers. On this episode of Territory Talk, co-hosts Doug Plagens and Jameson Olive share their immediate reactions to Brady Tkachuk taking his talents to the beaches of Fort Lauderdale. In addition to reviewing the trade with the Senators, the duo also discusses what Tkachuk will bring to an already loaded lineup for the two-time Stanley Cup champion Panthers.

The gang is broadcasting LIVE from the Hard Rock Bets Bus! We continue to keep an eye on trade rumors; as we are knee deep in the off season with the Panther and Heat! Lover of the beautiful game Alejandro Solana joins the show to talk about the upcoming matchup between the USA v. Australia, Ronaldo hate going around; as well as Messi's impressive performance the other night! And we close things out with a little “Dead to Me”!

Panther, Tiger, Snow Leopard, El Capitán, Big Sur... nombres que son leyenda de macOS y de los cuales Golden Gate podría ser el último. Te lo cuento en este capítulo 2988.¿Quieres más de Emilcar Daily? Suscríbete a Emilcar Daily Premium desde emilcar.fm/daily y disfruta de capítulos exclusivos los lunes y viernes, además de sonido en HD, acceso anticipado y sin publicidad. Todo esto en tu aplicación de podcasts favorita.

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The Carolina Panthers are on the Green Light Podcast. Derrick Brown joins Chris to talk about the Panthers 2025 season that culminated with a home playoff game against the LA Rams, Bryce Young's upstart play, the Panthers DLine and assistant coach Daren Bates. Chris asks for your favorite Panther from the late 90s and early 2000s so make sure to leave that player in the comments. To finish the episode, Chris talks about Rashee Rice and Nolan Smith's recent troubles with the law and ends with Joe Burrow's comments on the Bengals roster. Plenty of NFL talk in this one, enjoy! (00:00:00) - Intro: Carolina Panthers & Derrick Brown (00:08:45) - Derrick Brown on the Carolina Panthers Ascension, Bryce Young & Carolina's Playoff Appearance in 2025 (00:43:00) - Rashee Rice & Nolan Smith (00:53:19) - Joe Burrow's Bengals Comments Have some interesting takes, some codebreaks or just want to talk to the Green Light Crew? We want to hear from you. Call into the Green Light Hotline presented by Zone Nicotine and give us your hottest takes, your biggest gripes and general thoughts. Day and night, this hotline is open: ‪(202) 991-0723‬ With the return of the Layup Line, make sure to check out the playlist here: https://open.spotify.com/playlist/1olmCMKGMEyWwOKaT1Aah3?si=YP1-ffQ3T_yUDRnJRhDtOw Check out Green Light's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, where you can catch all the latest GL action: Green Light with Chris Long: Subscribe and enjoy weekly content including podcasts, documentaries, live chats, celebrity interviews and more including hot news items, trending discussions from the NFL, MLB, NHL, NBA, NCAA are just a small part of what we will be sharing with you. Learn more about your ad choices. Visit megaphone.fm/adchoices