Podcasts about Panther

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!

Thursday, July 2 on Urban Forum Northwest:*Earl Key, Senior Director of Transportation Equity, Washington State Department of Transportation (WSDOT) comments on WSDOT's revised Small Business Program that complies with the anti DEI initiatives that allows for participation of women and minority owned firms seeking to do business with WSDOT. He is on the agenda later Thursday afternoon for the Washington State Chapter-National Association of Minority Contractor's (NAMC) monthly meeting.*Bob Armstead, president, Washington State Chapter-National Association of Minority Contractors (NAMC) talks about some of the barriers facing his members and minority and women businesses seeking to do business in the state. He's paying attention to one of the largest contracts that WSDOT will undertake soon, the bridge form Vancouver WA to Portland OR that will cost over five billion dollars. Contractors interested in getting more information can go to NAMCWA.COM at 5:00 pm Thursday afternoon.*Elmer Dixon, Owner, Executive Diversity Services and Co Founder, Seattle Black Panther Party talks about the legacy of the party and the current projects that have been completed and others that are in the works. Completed projects include, the Black Panther Park in Skyway, the mural in front of the old Panther office, the Interpretative Center that will be housed in the Metropole Building on Second and Yesler. And the Carolyn Downs Medical Clinic on East Yesler Way is the last standing Black Panther Party medical clinic in the country..*Jazmyn Scott, Director, ARTE NOIR her organization celebrates and sustains Black art, artists, and culture by cultivating inclusive spaces, fostering opportunities and honoring community alongside the diversity and vitality of Black creativity. This past Sunday she hosted the Seattle King County Branch NAACP Afro Cultural Scientific Olympics (ACTSO) winners that will compete at the NAACP National Convention on July 17 & 18 in Chicago.*Randolph Cross of Seattle's Royal Esquire Club comments on the activities from the past month and invites you to the club's very popular First Friday. The members of the Royal Esquire Club raise money for scholarships are engaged in a number of community organizations that help uplift the community.Urban Forum Northwest streams live at www.1150kkknw.com. Visit us at www.urbanforumnw.com for archived programs and relevant information. Like us on Facebook.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Thursday, July 2 on Urban Forum Northwest: *Earl Key, Senior Director of Transportation Equity, Washington State Department of Transportation (WSDOT) comments on WSDOT's revised Small Business Program that complies with the anti DEI initiatives that allows for participation of women and minority owned firms seeking to do business with WSDOT. He is on the agenda later Thursday afternoon for the Washington State Chapter-National Association of Minority Contractor's (NAMC) monthly meeting. *Bob Armstead, president, Washington State Chapter-National Association of Minority Contractors (NAMC) talks about some of the barriers facing his members and minority and women businesses seeking to do business in the state. He's paying attention to one of the largest contracts that WSDOT will undertake soon, the bridge form Vancouver WA to Portland OR that will cost over five billion dollars. Contractors interested in getting more information can go to NAMCWA.COM at 5:00 pm Thursday afternoon. *Elmer Dixon, Owner, Executive Diversity Services and Co Founder, Seattle Black Panther Party talks about the legacy of the party and the current projects that have been completed and others that are in the works. Completed projects include, the Black Panther Park in Skyway, the mural in front of the old Panther office, the Interpretative Center that will be housed in the Metropole Building on Second and Yesler. And the Carolyn Downs Medical Clinic on East Yesler Way is the last standing Black Panther Party medical clinic in the country.. *Jazmyn Scott, Director, ARTE NOIR her organization celebrates and sustains Black art, artists, and culture by cultivating inclusive spaces, fostering opportunities and honoring community alongside the diversity and vitality of Black creativity. This past Sunday she hosted the Seattle King County Branch NAACP Afro Cultural Scientific Olympics (ACTSO) winners that will compete at the NAACP National Convention on July 17 & 18 in Chicago. *Randolph Cross of Seattle's Royal Esquire Club comments on the activities from the past month and invites you to the club's very popular First Friday. The members of the Royal Esquire Club raise money for scholarships are engaged in a number of community organizations that help uplift the community. Urban Forum Northwest streams live at www.1150kkknw.com. Visit us at www.urbanforumnw.com for archived programs and relevant information. Like us on Facebook.

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

Catch up on all the Rugby League news from NRL 360, Tuesday the 30th of June, with hosts Braith Anasta and Gorden Tallis. The NRL 360 panel look at the big name Panther testing the open market, and what it means for the Panthers dynasty, plus will Mitch Moses rediscover his form in the Origin decider? Anasta has some concerns. Plus the QLD changes that get forgotten about in Billy Slater's run as Maroons coach. For more of the show, tune in on Fox League CH 502 or stream full episodes on KAYO.See omnystudio.com/listener for privacy information.

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!

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!

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

It's 2018, and Marvel is lurching towards the climax of ten years of interconnected movies, while the Academy manages to trip over itself. The Oscar went to Green Book, now considered one of the century's biggest blown calls, but is it a bad movie, or just a bad pick for Best Picture? Claire, Erin, and Dan discuss, before moving on to the Marvel movies that ruled the box office. Black Panther brought audiences to the kingdom of Wakanda, while Infinity War finally bring Thanos to the forefront. But which works better? Who's got the hotter lead? Listen in and see if you agree.Find all of our episodes and the rest of Writing Therapy Productions' various entertainments at www.writingtherapyproductions.com

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

Agradece a este podcast tantas horas de entretenimiento y disfruta de episodios exclusivos como éste. ¡Apóyale en iVoox! El frente del este hizo patentes las limitaciones de los carros de combate alemanes. El T-34 y el KV-1 demostraron que el blindaje y la potencia de fuego de los panzer resultaban insuficientes para enfrentarse a los tanques soviéticos. Mientras las nuevas generaciones de carros salían de los tableros de diseño dando lugar a las familias Tiger y Panther, hubo de echarse mano de soluciones de emergencia para suplir esas carencias. Los cazacarros (panzerjäger) nacieron de la urgencia de la Wehrmacht mientras salían de fábrica los nuevos diseños de panzer en buscar una solución de compromiso. Para ello, instalaron en chasis de modelos obsoletos o capturados, cañones contracarro capaces de neutralizar a los carros rusos. Como la fórmula era barata, se siguieron fabricando con posterioridad a la aparición de los tigers y panthers. Los cañones de asalto nacieron de la necesidad de apoyo directo a la infantería y fueron asimilados por el arma de Artillería. Aparte de esta función, algunos modelos, como el Stug III cumplieron una función sobresaliente como cazacarros. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

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”!

Warum gelten Tiger, Panther und Co. bis heute für viele als die unbesiegbaren Wunderwaffen des Zweiten Weltkriegs? In dieser Folge nehmen wir den hartnäckigen „Mythos der deutschen Panzer“ genauer unter die Lupe und trennen historische Realität von reiner Propaganda. Wir reisen zurück zu den Anfängen des Krieges und zeigen, warum der sagenumwobene „Blitzkrieg“ im Westfeldzug 1940 weniger ein Produkt überlegener Technik, sondern vielmehr das Resultat von rasanter Funkkoordination und taktischer Flexibilität war. Doch wie entstand später die Legende um den tonnenschweren Tiger? Wir beleuchten die technischen Meilensteine und die psychologische Wirkung der stählernen Kolosse. Gleichzeitig blicken wir hinter die Kulissen der NS-Propaganda und decken die ungeschönte Wahrheit auf: Warum blieben viele dieser hochkomplizierten „High-Tech-Waffen“ im Schlamm stecken, scheiterten an der Logistik oder fielen schlicht durch technische Defekte aus?

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.

Plan Your Visit to SALT Church:https://www.saltchurches.com/Ways to Support the Ministry:https://www.saltchurches.com/givingSubscribe:  / saltchurches  Subscribe @saltchurchNC Connect with Parker + Jessi Green:Instagram Parker /   / parkerrichardgreen  Instagram Jessi /  / jessi.green  Websites https://www.saltchurches.com/https://www.jessi-green.com/https://www.saturateglobal.com/#prayer #bible #biblestudy #saltchurch #revival #parkergreen #jessigreen

Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

In hour 2 of the show, Kyle weighs in on some of the news and notes surrounding Panthers minicamp, including Jaycee Horn telling people that Ejiro Evero's system gets criticized too much by fans.See omnystudio.com/listener for privacy information.

"The source made me think of German metro-tunnels, so I wanted to include footsteps, which THEN put me in mind of the poem The Panther by Rainer Maria Rilke. The poem is (amongst other things) about the impotent power of the caged big cat, forlorn, empty-hearted, broken, pacing but going nowhere. I'm reading the poem in my faltering German! "For the second half of the piece, I wanted to highlight the energy and momentum of such a magnificent beast, so I cut two, 4-bar sections of didgeridoo from the field recording, tuned them and got them into the right tempo, and set those to a pulse to echo the heartbeat of the cat."Didgeridoo busker in Hannover reimagined by Kevin O'Connor.

Brewers take a series in Houston despite not playing their best, Miz has been unreal but still might not be enough to win Pitcher of the Month for May. Panther baseball making noise in the NCAA Baseball Tournament, Thunder lose Game 7 to Wemby and the Spurs, could they be interested in Giannis' services in a trade?See omnystudio.com/listener for privacy information.

We hear from several big cat witnesses at the Dean Heritage Centre, recorded at the Art & Science of British Big Cats event in April-May 2026. Key guests include Will, a 16-year-old investigator who has had three big cat encounters in the Forest of Dean area, and 10-year-old George, who travelled from Somerset with his mun Louise to take part. George looks for evidence in southwest England, and with his dad he recently observed a big cat skulk away at dusk as they were watching beavers.Artist Rob Amos describes chatting with visitors at the event while he produced his oil painting of a ‘Gloucestershire black leopard at dusk' to engage people for the final three days. See photos on Big Cat Conversations website Refs & Links page, and a video with snippets from the event will soon be available via the Big Cat Conversations YouTube  channel. Words of the week:   weird is cool   31 May 2026

Zayd Ayers Dohrn was born underground, the son of Bernardine Dohrn and Bill Ayers, two cofounders of the Weather Underground, a militant, radical leftist group of the 1970s that used tactics like the after-hours bombings of government buildings—including the Capitol, the State Department, and the Pentagon—to protest the Vietnam War and racial injustice. “When I was just 3 years old, I learned to recognize plainclothes police officers and undercover agents in a crowd,” Dohrn writes, “It was a bit like playing a game—a grown-up version of dress-up or make believe—that only my family was good at or knew all the rules.” By the time Dohrn was born in 1977, his parents had been hiding from the FBI for close to a decade, working cash jobs from San Francisco to Harlem using assumed names and forged papers. Their decision to have a family while on the run is just one of the tangled contradictions that Dohrn writes about his new book, Dangerous, Dirty, Violent, and Young, which is both a family memoir and a social history of a forgotten chapter of American activism. An acclaimed playwright and screenwriter, Zayd Ayers Dohrn is a professor at Northwestern University and director of the MFA in Writing for Screen and Stage at Northwestern University. He is the creator of the narrative podcast Mother Country Radicals and the rock protest musical Revolution(s).Go beyond the episode:Zayd Ayers Dohrn's Dangerous, Dirty, Violent, and Young: A Fugitive Family in the Revolutionary UndergroundListen to Mother Country RadicalsIn 2022, we interviewed another member of the underground: Laura Kaplan, a member of the Jane collective that provided abortions before Roe v. WadeTune in every other week to catch interviews with the liveliest voices from literature, the arts, sciences, history, and public affairs; reports on cutting-edge works in progress; long-form narratives; and compelling excerpts from new books. Hosted by Stephanie Bastek.Subscribe: iTunes/Apple • Amazon • Google • Acast • PandoraHave suggestions for projects you'd like us to catch up on, or writers you want to hear from? Send us a note: podcast [at] theamericanscholar [dot] org. And rate us on iTunes! Hosted on Acast. See acast.com/privacy for more information.

Plan Your Visit to SALT Church:https://www.saltchurches.com/Ways to Support the Ministry:https://www.saltchurches.com/givingSubscribe:  / saltchurches  Subscribe @saltchurchNC Connect with Parker + Jessi Green:Instagram Parker /   / parkerrichardgreen  Instagram Jessi /  / jessi.green  Websites https://www.saltchurches.com/https://www.jessi-green.com/https://www.saturateglobal.com/#prayer #bible #biblestudy #saltchurch #revival #parkergreen #jessigreen

The first segment gets off to a silly start when it sounds like Leroy is playing a guitar during his weather update. The gang reports the sad news that Manny Fernandez, one of the players on the legendary Dolphins 1972 team has passed. Bam Adebayo is in hot water with Panthers fans after he was photographed wearing a custom Golden Knights jersey alongside A'ja Wilson. Leroy hands out his Game Balls and Game Bums; which then turns into the guys declaring James Harden a BUM!

We've been living on the road and in the pit! This week on The Heavy Metal Hangover, Rex and Duff are breaking down our thoughts on some killer recent live shows, including the high-octane thrash of Death Angel and the hilarious, riff-heavy spectacle of Steel Panther. If you want to know who still delivers the goods live in 2026, we've got your front-row report. Then, we are shifting gears into the ultimate temple of groove. Rex recently went back to school, relistening to the entire Pantera discography from top to bottom—including the legendary live albums. We're breaking down how the albums hold up today, the evolution from Cowboys from Hell to Reinventing the Steel, and why their live recordings capture a level of sheer, hostile energy that few bands have ever matched. Crack open a cold one, turn the volume up to 11, and let's get vulgar!

Here is your Daily Disney News for Friday, May 22nd, 2026 - Disneyland Resort in California is set to unveil a new nighttime spectacular, "Illuminations of Imagination," starting June 15th, with advanced projections and pyrotechnics featuring beloved stories and characters. - Disney California Adventure's Marvel Avengers Campus is expanding with a new attraction, "Wakanda: Journey to the Panther's Throne," offering an immersive experience through Wakanda with Black Panther. - Tokyo Disneyland plans to reopen a reimagined "Fantasyland Forest Theatre" this summer, featuring enhanced seating and a state-of-the-art sound system for a magical storytelling experience. - Disney Publishing announces a new book series, "Tales from the Galaxy's Edge," expanding the Star Wars universe with captivating stories and characters. Have a magical day and tune in again tomorrow for more updates.

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

The guys are joined by former Panther tight end Greg Olsen, as Greg talks about the off-season for the team, with the draft & free agency completed, he gives his thoughts on the addition of Darrell Bevell to the coaching staff, while talking about Luke Kuechly getting going into the Hall of Fame, & more See omnystudio.com/listener for privacy information.

Typical of the Jack Kirby comics we’ve read from the 1970s, the 1977 Black Panther series is a wild ride. Issues 5 and 6 feature a city of samurai (apparently nowhere near Japan), a yeti (nowhere near the Himalayas), and a nuclear missile (which is far too close to Wakanda). Wait, did we say “Wakanda”?! At last the series is inching back to the familiar territory, literally and figuratively, of a Black Panther story! But first, Panther has to survive Abner Little‘s snafu in the Samurai City. Tim and Emmet are along for the ride. Brought to you by: Worst Collection Ever podcast Bat Bits podcast Our supporters on Patreon

Sommaren 1943 stod östfronten i ett kritiskt läge. Efter Stalingrad var det tyska fälttåget i Sovjetunionen hårt prövat, men ännu inte krossat. Adolf Hitler ville återta initiativet i ett avgörande slag vid Kursk i södra Ryssland som omfattade två miljoner man och nästan 6000 stridsvagnar.Operation Zitadelle blev historiens största planerade pansaroffensiv, där tiotusentals stridsvagnar, tusentals flygplan och miljoner soldater ställdes mot varandra i en strid som skulle avgöra kriget på östfronten. Trots tysk teknisk förmåga och initial framgång stelnade offensiven mot de sovjetiska försvarslinjerna. När dammet lagt sig hade Nazityskland förlorat sin sista realistiska chans till offensiv seger i öst.I denna teaser av avsnitt av Historia Nu Premium samtalar programledaren Urban Lindstedt med militärhistorikern Anders Frankson. Anders Frankson har bland annat skrivit standardverket Slaget om Kursk : historiens största pansarslag (2002) tillsammans med Niklas Zetterling. Frankson är aktuell med Achtung panzer! Stalingrad och Charkov – två slag som förändrade andra världskriget. Vill du höra hela avsnittet blir du medlem på https://historianu.supercast.com/Slaget vid Kursk var inte bara ett nederlag i markstrid för Nazityskland – det var en strategisk kollaps. Efter juli 1943 skulle Tyskland aldrig mer kunna genomföra en större offensiv på östfronten. Initiativet låg nu hos Röda armén, som metodiskt började pressa tyskarna västerut – hela vägen till Berlin.Den 22 juni 1941 inledde Nazityskland invasionen av Sovjetunionen under kodnamnet Operation Barbarossa. Offensiven förde Wehrmacht djupt in på sovjetiskt territorium, men logistiska problem, det ryska vintervädret och hårt motstånd bromsade framryckningen. Slaget vid Stalingrad (augusti 1942–februari 1943) blev en katastrof för tyskarna och visade att kriget i öst inte längre kunde vinnas snabbt.Trots detta planerade Hitler en ny sommarsatsning år 1943. Målet var att slå ut den utbuktning i frontlinjen runt Kursk och därmed omringa stora delar av Röda armén. Operation Zitadelle var resultatet av en kompromiss mellan fältmarskalk Erich von Mansteins mer försiktiga strategi och Hitlers krav på ett kraftfullt offensivt genombrott. Idén var enkel: Armégrupp Nord skulle anfalla söderifrån och Armégrupp Syd norrifrån och därefter mötas öster om Kursk för att sluta en kniptång runt de sovjetiska styrkorna.Men beslutet att fördröja anfallet för att invänta leveranser av nya tyska vapen som Tiger- och Panther-stridsvagnar gav sovjeterna tid att bygga upp ett omfattande försvar i djupet med lager av minor, skyttegravar, flera motståndslinjer och stora reserver.Bildtext: Sovjetiska soldater från Voronezjfronten genomför en motoffensiv bakom T-34-stridsvagnar vid Prochorovka den 12 juli 1943, under slaget vid Kursk. Slaget vid Kursk är känt som ett av historiens största pansarslag och markerade en vändpunkt på östfronten under andra världskriget. Prochorovka blev särskilt beryktat för de intensiva striderna mellan sovjetiska och tyska pansarförband. Bild: Mil.ru Wikipedia / CC BY 4.0Musik: Red Army 25th Anniversary Song framförs av Röda arméns kör under ledning av A. V. Alexandrov. Sången är ett exempel på patriotisk sovjetisk musik under andra världskriget, där Röda arméns kör spelade en viktig roll i att höja moralen. Kompositören Alexandrov är även känd för att ha skrivit Sovjetunionens nationalsång. Skivan (katalognummer 3005-B, matrisnummer ST-103) spelades in i Sovjetunionen 1943 och digitaliserades av George Blood, L.P. Källhänvisning: Internet Archive, public domain – ingen känd upphovsrätt gäller. Hosted on Acast. See acast.com/privacy for more information.

Welcome to the celebration of five years of fine is a four letter word. I'm your host, Lori Saitz, and man, what a ride it has been. Five years. I don't know that I could have said five years ago that I would expect to be still doing this show five years later. mean, man, that's like another lifetime ago.Think of everything that's happened in your life in the past five years. I mean, I had different cats, I lived in a different state. I've had so many adventures in the past five years and met so many amazing, incredible people and been through so many experiences. Someone asked me the other day, I was a guest on someone else's show, and they asked me what I was grateful for, and I said, all the incredible experiences I have gotten to experience, all the incredible adventures I've gotten to experience in my life. So grateful.You know what else I'm grateful for? Every single guest, more than 200 of them who have been on this show, and especially the first 20 who trusted me enough to give me their time and say yes to being on a brand new show. Because stats show 80 to 90 % of shows never make it past the first 20 episodes. 44 % don't even get past the first three episodes. And here we are at episode 227, five years of weekly publishing. Wow. Sure, there have been some vacation weeks like last year when I was in Tanzania and that year, Panther and I were on our month long road trip sabbatical, but average it out and we've published 45 episodes a year.When I say we, I'm referencing that this show isn't a solo effort from the people who've helped me with strategy before it even launched, specifically Donnie and Mark, to my editors Greg and Chad and Adam and team and Jennifer, who put it all together after it's recorded. I thought for this episode, we do a little review of some especially memorable moments and shows.This episode is sponsored by Zen Rabbit. Listen, we all know that no one's reading emails and those all hands meetings and Slack messages can feel a little impersonal. How do you make work feel more human? Leaders who are serious about building real trust with their teams are finding more modern and effective ways to strengthen culture, create connection and foster community. That's where I come in.Forward-thinking companies, and specifically those with new CEOs, are hiring me to produce internal podcasts, to bring leadership and employees together through insightful stories and personalized conversations, and to share information that actually helps you move your career and company forward. Think of it as your old school printed company newsletter, reinvented. I know, what a cool idea, right? If you run, work for, or know of a company that wants to upgrade communication, facilitate connections, build community, and maintain culture, let's chat. Message me at lori at zenrabbit.com.As I look ahead, I can't necessarily promise another five years, but I can promise I'll keep doing this for as long as it brings me joy. And right now, it brings me SO MUCH JOY to meet all these fantastically interesting people and hold space in my studio for them to be seen and heard and to tell their stories.Thanks for listening to Fine is a 4-Letter Word. If you enjoyed the show, please follow and share it with a friend. Leave a review on Apple Podcasts or your favorite platform to help others discover it too.Remember, you do not have to settle for FINE. You have the power to become a leader people respect and want to follow AND create a life you love. Now let's f-ing go!

¿Qué lleva a un ingeniero a arriesgar millones en una solución que nadie ha probado antes? La palabra "ingeniero" viene del latín ingenium, que significa "capacidad mental para inventar". En este vídeo rendimos homenaje a esos rebeldes que, entre 1960 y 1990, decidieron que el camino marcado no era el único posible. Desde motores de helicóptero hasta chasis de plástico, recorremos 20 ejemplos de que, aunque el atrevimiento no garantiza el éxito comercial, sí asegura un lugar en la historia de las rarezas mecánicas. Los 20 "rebeldes" que desafiaron la lógica: -Amphicar 770 (1961): El coche-lancha que demostró que la estanqueidad total era posible en una cadena de montaje. -Chrysler Turbine (1963): Un motor sin pistones capaz de quemar desde gasóleo hasta perfume o tequila. -Oldsmobile Toronado (1966): El desafío de mandar el par de un V8 de 7 litros exclusivamente a las ruedas delanteras. -Jensen FF (1966): Mucho antes que Audi, este GT inglés ya montaba tracción total permanente y ABS mecánico de aviación. -Mazda Cosmo Sport (1967): El milagro de Hiroshima que salvó a la marca gracias al perfeccionamiento del motor rotativo de dos rotores. -Citroën M35 (1969): El laboratorio rodante con motor Wankel que Citroën intentó comprar y destruir para no dar soporte técnico. -Bond Bug (1970): La "cuña de queso" de tres ruedas con cúpula de avión en lugar de puertas. -Clan Crusader (1971): Un deportivo sin chasis metálico; un monocasco integral de fibra de vidrio increíblemente ligero. -Maserati Bora (1971): El superdeportivo italiano que adoptó la alta presión hidráulica de Citroën para frenos y pedales. -Monica 560 (1973): El renacimiento del lujo francés con motor V8 de competición, truncado por la crisis del petróleo. -Aston Martin Lagonda (1976): El coche que quiso vivir en el futuro con un cuadro digital y pantallas que la tecnología de 1976 no podía soportar. -Lancia Gamma (1976): Una joya con motor bóxer que se autodestruía si girabas la dirección a tope al arrancar en frío. -Panther 6 (1977): Un descapotable de seis ruedas inspirado en la F1 con un motor V8 biturbo de 8.2 litros. -Aston Martin Bulldog (1979): Una cuña extrema con cinco faros ocultos diseñada para pulverizar récords de velocidad. -Cadillac Fleetwood V-8-6-4 (1981): El primer intento masivo de desconexión de cilindros, fallido por la lentitud de la informática de la época. -Honda City Turbo II "Bulldog" (1983): El concepto de movilidad total que incluía una moto plegable (Motocompo) en el maletero. -BMW Z1 (1989): El roadster de paneles intercambiables y puertas que bajaban verticalmente hacia el suelo. -Vector W8 (1989): Tecnología aeroespacial, pantallas de caza F-15 y materiales exóticos en un superdeportivo indomable. -Nissan S-Cargo (1989): La furgoneta de diseño retro que demostró que la funcionalidad podía ser simpática y diferente. -Cizeta-Moroder V16T (1991): El exceso absoluto de un motor V16 transversal y cuatro faros escamoteables. El legado de la originalidad Aunque muchos de estos modelos fracasaron en los concesionarios, fueron laboratorios rodantes esenciales. Sin el Variomatic de DAF no entenderíamos los cambios eficientes de hoy, y sin el Jensen FF, la tracción total seguiría relegada a los tractores. Ser original es un ejercicio de funambulismo: si aciertas, cambias el mundo; si fallas, hundes la empresa. Pero en Garaje Hermético preferimos a los que se atrevieron a fallar de forma espectacular antes que a los que se limitaron a copiar lo establecido. ¿Cuál de estas locuras técnicas es tu favorita? ¿Conocías el error de diseño del Lancia Gamma? Te leo en los comentarios.

Mac & Bone start Wednesday's show, talking about Charlotte FC's loss in the US Open Cup, and address Dean Smith's altercation with a fan during the match, they react to audio from multiple Panther players, including Jonathan Brooks, Chuba Hubbard & Taylor Moton, before expressing their disdain with the arrival of NCAA Tournament expansion See omnystudio.com/listener for privacy information.

We hear from Paul, a retired woodsman from mid Suffolk. He has had three encounters with large cats, including one watching him through the bracken. He describes his own incidents and others he has heard.  Paul explains his tree management work across the local countryside and considers how big cats would use woods and features of the landscape.     Paul and Rick also discuss actions to get more evidence in Suffolk, including a ‘camera wall' being set up across a nature reserve on a farm.Words of the week:   non-invasive study28 April 2026

This week, we're joined by John Mathieson, the hardware designer best known as the father of the Atari Jaguar. John takes us through an extraordinary career that began at Sinclair Research on the ZX Spectrum, before moving through ambitious and often misunderstood projects including Loki, the Konix Multisystem, Atari's Panther and Jaguar, and later the Nuon. Along the way, he shares brilliant behind-the-scenes stories about working with Clive Sinclair, Jeff Minter and the Tramiel-era Atari team, and reflects on the technical ideas, challenges and missed opportunities behind some of gaming's most fascinating machines.  Contents:00:00 – The Week's Retro News Stories53:08 – John Mathieson InterviewPlease visit our amazing sponsors and help to support the show:Bitmap Books – https://www.bitmapbooks.comGo to https://surfshark.com/retrohour or use code RETROHOUR at checkout to get 4 extra months of Surfshark VPN!Nottingham Gaming Market:  https://www.nottinghamgamingmarket.com/Check out PCBWay at https://pcbway.com for all your PCB needsWe need your help to ensure the future of the podcast, if you'd like to help us with running costs, equipment and hosting, please consider supporting us on Patreon:https://theretrohour.com/support/https://www.patreon.com/retrohourJoin our Discord channel: https://discord.gg/GQw8qp8Website: http://theretrohour.comFacebook: https://www.facebook.com/theretrohour/X: https://twitter.com/retrohourukInstagram: https://www.instagram.com/retrohouruk/Bluesky: https://bsky.app/profile/theretrohour.comTwitch: https://www.twitch.tv/theretrohourShow notesStunt Car Racer 60FPS Update: https://tinyurl.com/48auryjzStunt Car Racer Multiplayer: https://tinyurl.com/4juw2a99Pokémon Adventure Demo: https://tinyurl.com/2bcntp4uCrystian And The Lost Crystals: https://tinyurl.com/4ju936w9DS And PSP Screen Fix: https://tinyurl.com/4mphcth5SuperSega Creator Returns: https://tinyurl.com/5eezr29vSega RPG Returns: https://tinyurl.com/nw8jupxa

Join SP3 for our Mania Week Review breaking down GCW's The Collective ft. Joey Janela's Spring Break X & PALM's Slam Fest ft. CMLL in Las Vegas. Leave your thoughts on this podcast in the comments section. Like, share and subscribe to support! #TheCollective #JJSBX #JBBSXV #EffyBGB #CMLL #HOGVegas #MLPMultiverse Welcome to the Tru Heel Heat Wrestling YouTube channel where we cover  the sport of professional wrestling including all WWE TV shows (Raw,  Smackdown, & NXT), AEW Dynamite/Dark, IMPACT Wrestling, NJPW, ROH,  Dark Side of the Ring and more. Our weekly podcast hosted by SP3, Top  Guy JJ & Miss Krssi Luv breaking down the weekly wrestling news and  present unfiltered, honest thoughts and opinions for wrestling fans by  wrestling fans, drops every Saturday. We also include PPV reviews,  countdowns, and exclusive interviews with wrestlers from all promotions  hosted by a wide range of personalities such as Romeo, Chris G, Ness,  StatKing, Drunk Guy JJ, J-News and more. Subscribe and enable ALL  notifications to stay posted for the latest wrestling WWE news,  highlights, commentary, updates and more.Become a member of Tru Heels Facebook community: www.facebook.com/groups/1336177103130224/Subscribe to Tru Heel Heat on YouTube: www.youtube.com/channel/UC0AmFQmsRyQYPKyRm5hDwNgFollow Tru Heels on Twitter: twitter.com/truheelheatFollow Tru Heels on Instagram: www.instagram.com/truheelheat/Music composed by JPM

“Heroes are made by the path they choose, not the powers they are graced with”- Iron Man. Join the girls this month as they explore superheroes and how it can be interpreted. Vicious by V.E. Schwab and Ahsoka by E.K. Johnston are in the main spotlight for this discussion, along with the regular segments that you know and love. Grab your caffeine of choice and join us for a lovely adventure!    Books Mentioned This Episode:  Vicious by VE Schwab Ahsoka by EK Johnston The Faraway Inn by Sarah Beth Durst A Tempest of Tea by Hafsah Faizal Vengeful by VE Schwab Wrong Place Wrong Time by Gillian McAllister Alchemy of Secrets by Stephanie Garber With a Vengeance by Riley Sager His & Hers by Alice Feeney City of Bones by Cassandra Clare This Damsel is Not in Distress by Tee Harlowe The Alpha's Panther by Randy Schilling Dungeon Crawler Carl Book 8 by Matt Dinniman   Article discussed: https://www.pewresearch.org/short-reads/2026/04/09/americans-still-opt-for-print-books-over-digital-or-audio-versions-few-are-in-book-clubs/   NEW Spotify playlist https://open.spotify.com/playlist/3ivrQ5IRpmbri97qxQ9m7H?si=xn1-7CQ6Rlery_ipfA6IQw

Chris Williams sits down with new UNI Panthers men's basketball head coach Kyle Green for a quick-hitting conversation during one of the busiest weeks of his career.

We've got a rambunctious case of the zoomies on our hands, Hero!A batch of muddled pet food has turned the neighborhood into a high-flying, fire-breathing zoo. From levitating Siamese cats to super-speed Labradors, the local fur-friends are causing a bit of a ruckus.Grab your gear and help me and Mr. Honeybee deploy the Pet-Power Pacifier to bring some calm back to the chaos. https://EJmissions.com________________ Join Captain EJ on his biggest mission yet...Captain EJ battles The KNUCKLERS, whose reign of terror has just begun

Jerry AKA Caser Rebel is back with a chilling look at the 1978–1979 encounters around Kaser, North Carolina, near the South Mountains and Carpenter's Knob. Witnesses including Minnie Cook, Sally White, the Price family, and Gay Smith reported a large black, hairy, humanlike figure prowling properties, killing animals, leaving tracks, and unleashing terrifying howls, screams, and strange yodeling wails.Drawing from reports documented by Robert Williams, who helped popularize the name “Knobby,” Jerry explores the possibility that more than one threat was involved, including an oversized black panther and a third track type he believes may point to a Dogman.The episode also dives into the fear of feral people in Appalachia, with accounts of eerie communication, violent encounters, a destroyed 1978 campsite, and a 2021 cave investigation that revealed a barefoot human track and signs of repeated human activity.Rebel's Dark Tales of Appalachia YouTubeEmail BrianGet Our FREE NewsletterGet Brian's Books Leave Us A VoicemailVisit Our WebsiteBecome a supporter of this podcast: https://www.spreaker.com/podcast/sasquatch-odyssey--4839697/support.Have you had a Bigfoot encounter, Sasquatch sighting, Dogman experience, or other cryptid or paranormal encounter? We'd love to hear your story. Email brian@paranormalworldproductions.com to be featured on a future episode of Sasquatch Odyssey.Sasquatch Odyssey is a leading Bigfoot and cryptid podcast exploring real encounters, field research, and scientific analysis of the Sasquatch phenomenon.Follow the show and turn on automatic downloads so you never miss an episode.

“We all signed up for the criticism, and will to take a bullet for our team, that's our job.” Bryce Young Fresh off a breakout playoff run with the Carolina Panthers, former No. 1 overall pick Bryce Young sits down with Ryan, Channing and Fred for a deeply personal and one of his most reflective conversations yet. Bryce opens up about the pressure of being selected first overall in the NFL Draft, the early adversity he faced adjusting to the speed and complexity of the NFL as a business, and how criticism fueled his growth rather than defined him. From learning how to command a locker room to embracing failure as part of development, Bryce shares the pivotal moments that shaped his evolution from highly touted prospect to playoff quarterback. From a long drive Bryce never envisioned making to the lessons the rough roads taught him, the guys talk about the complexity of Dave Canales' play calling, Bryce's unique bond with Xavier Legette, support from Cam Newton and how the Panther faithful can be hard to navigate but worth the privilege of being the team leader. He also discusses the mental side of the game — staying grounded amid expectations, blocking out outside noise, and building resilience during tough stretches. The conversation dives into leadership, faith, preparation habits, and what it truly means to “earn it” at the highest level. Sharing a close bond with CJ Stroud, Bryce talks about CJ's strength and talent will put him back on track ignoring the noise of this past season. Honest, thoughtful, and poised beyond his years, Bryce reflects on what the playoff run taught him about trust, accountability, and belief — not just in football, but in himself. Pivot Family, comment, like, hit the subscribe button, we enjoy hearing and learning from you- the good and the bad, we want to know! Learn more about your ad choices. Visit megaphone.fm/adchoices