Podcasts about Reynold

Oregon school districts rely on the state for funds they need to educate students in their schools, but some educators and advocates say the formula they use to allocate those funds is outdated and inequitable. In-depth reporting by The Oregonian/OregonLive describes the way that students in poverty are undercounted, their schools underfunded and details how the resulting cuts are affecting some of the most vulnerable children in the state.    Education reporter Julia Silverman spent time with a student, a teacher, a principal and an attendance specialist in the Reynold’s school district in east Multnomah county. The district serves the highest percentage of low-income students in the Portland area. Silverman joins us to share more about her reporting and the possibility of state lawmakers reforming or overhauling the funding formula.  

Reynold, Wilbrie en Bennie Fourie oor die tweede seisoen van Die Broer Toer op kykNET.

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

Jesus Protects His Own From Harm: Reviewed and revised Approved RJC by Reynold Conger https://www.amazon.com/Jesus-Protects-His-Own-Harm/dp/B0FD2FP6YM Jacob Koenig is pastor of a church near Albuquerque, New Mexico, when he decides to retire. He is the author of the recently published book, Take the Truth to Mecca, that instructs Christians how to convey a message to Muslims. While church members worry that if the book is released in Saudi Arabia, someone will want him dead, Pastor Koenig hopes his words will sow seeds in the minds of unbelievers. When a mullah is offended by Koenig's book, he organizes a group of men to locate and execute the pastor who is now a missionary serving six churches on an Indian reservation in North Dakota. One of Koenig's congregants is Charlie, a cowardly teenager who isn't sure about the existence of God, but overhears the group's plans, lets his friends know, and then prays for a miracle to save the pastor. When Charlie hears a voice that commands him to save Koenig during a brutal attack by the group, he singlehandedly and without arms, confronts the aggressors. Will he be successful in thwarting the execution or will the pastor make the ultimate sacrifice? In this Christian thriller, God uses a fearful teenager to physically defend a pastor after he is attacked by a group of men with an evil mission.

Final Edit HG Jess reynold by Teresa Kenney and Jamie Rathjen

Encouraging Growth Native seed restoration aims to restore degraded ecosystems that sequester carbon, such as wetlands and riverbanks. Restoration increases climate resilience by re-establishing native plants adapted to local conditions, making landscapes more resistant to drought or fire, and strengthening overall ecosystem stability by increasing biodiversity. Heritage Growers is a California-based non-profit that has taken on this challenge, helping restore more than 20,000 acres of natural habitat statewide since its founding. Diving Deeper Heritage Growers was born from another habitat restoration project, River Partners. As River Partners grew, employees realized that the company was not always able to obtain “regionally appropriate” seeds for restoration projects, and, thus, Heritage Growers was created to fill this gap and help River Partners obtain seeds. Heritage Growers operates out of a 160-acre farm in Colusa, where plants are cultivated to “amplify” their genetic suitability to local conditions. Additionally, all seeds are of “known genetic origin,” meaning that Heritage Growers know where the seeds came from, and can ensure that they are locally-adapted and grown in California. Heritage Growers' process is labor and time intensive. The seeds often cannot be grown immediately or in bulk, so “seed specialists travel to scout the land for native seeds,” collecting part of what they find in the wild (Haas). The seeds are cleaned by hand, and tested in labs to determine quality. Finally, they can be grown under precise conditions, and harvested at the perfect time. Some seeds must be hand-picked, while others, like milkweed favored by monarch butterflies, can be over $1,000 per pound to produce. One of Heritage Growers' most significant achievements includes the “cultivation of 40,000 plants and 1,500 pounds of locally-adapted seeds for the historic Klamath River restoration.” For this specific restoration strategy, Heritage Growers planted the Klamath River banks with milkweed and other pollinator plants to promote biodiversity after “the largest dam removal project in US history.”  Benefits Native plants are vital to ecosystems because among many things, “they provide nectar for pollinators including hummingbirds, native bees, butterflies, moths, and bats” (Audubon). Additionally, the flora is a shelter for many types of fauna, while also acting as an important food source for them (Audubon). On top of this, native plants require much less water to plant and maintain than their exotic successors, which are often unsuited to the climate conditions in a given area.  Heritage Growers also collaborates with Native Californian communities, who have centuries-long histories of tending the land. The company works to integrate traditional ecological knowledge into their land cultivation efforts. Recently, it has worked with the Yurok tribe in Northern California to ensure the primary plant growth on a restored riverbank was native plants, not weeds. Heritage Growers also says that, unlike other companies that heavily guard genetic information, the non-profit is part of an effort to expand access to native plant information to encourage an increase in native seed restoration. Potential Issues One issue with the process that Heritage Growers employs is that the recultivation of plants is extremely time intensive, sometimes taking years to obtain the correct quality and quantity. Additionally, native seeds are expensive to obtain even before cultivation works to increase the supply. and it is likely that climate-related variables like droughts, heat waves, and invasive species can affect the growth of the seeds. On top of this, there is limited infrastructure to produce enough native seeds at scale. Specifically, “the rising demand for seeds far outpaces the available supply” and there is simply not “enough wildland seed available to restore the land at the rate that the state has set out to” (The Guardian). Reynold's Take on the Future of Native Seed Restoration Reynolds emphasizes the importance of native plants in helping landscapes become more resilient to extreme weather conditions, benefit our food systems, and sequester carbon. He suggests that individuals support this initiative by planting native species in their own backyards as opposed to exotic plants.  About our guest Mr. Pat Reynolds, Heritage Grower's General Manager, is a restoration ecologist who has more than 30 years of experience leading efforts that promote habitat restoration. Mr. Reynolds is also the Director of River Partners' Native Seed and Plant Program. He sits on the board of the California Native Grasslands Association, the Yolo County Planning Commission, and is the Restoration Ecologist on the Science and Technical Advisory Committee for the Yolo County Habitat Agency. Resources/Citation Audubon, Why Native Plants Matter Heritage Growers, Our Experts Northern California Water, Heritage Growers And The Revival Of California's Native Habitats Dani Anguiano (The Guardian), Meet the seed collector restoring California's landscapes - one tiny plant at a time  Michaela Haas (Reasons to Be Cheerful), The Native Seed Farm Safeguarding California's Future For a transcript, please visit https://climatebreak.org/native-seed-restoration-with-patrick-reynolds/

Hola, Sneakers! Welcome to Sneaky Dragon – the podcast that knows its place! This week: sick report; going viral; jerk shop; Chinese checker; MAS*H notes; chop phooey; easy action; contentment; novelty numbers; mob rules; Monkees shine; what a character; Pryor engagement; myth fire; alone time; prize whiner; the house trap; Reynold’s rap; Southern comfort; comb over; rock’n’rollercoasters; Howard’s beginning; spam scam; slop culture; you gotta server yourself; let’s get physical; Question of the Week – Sneakers respond; notes from the underworld; queasy living; overcaring; golden Retriever; to hell with the past; and, finally, car sick. Question of the Week:What film doesn’t have a sequel that should have a sequel?Sub-question of the Week: What is an egregious example of ret-conning?? Thanks for listening. Andrea Martin is a real pip! Can you mock a mockingbird? How low could they go?

Dipli (ex-Agoraplace) décortiqué par son CEO Reynold Simonnet : comment passer d'un « Magic Recycle » à l'operating system de la seconde main électronique. Du test qualité au pricing en passant par le SAV et la revente, Dipli huile toute la machine — au point d'alimenter Orange pour la reprise en boutique et en ligne. Modèle PaaS, data-driven, statut ESS, et cap franchi des 100 M€ de GMV : ambition oui, mais réalisme rentable.Le tournant ? Covid : 95 % du CA s'évapore, pivot immédiat et diversification amont/aval. Stratégie des lighthouse customers (Econocom, puis Orange) pour faire grandir le produit par paliers, sans se perdre en « custom ». Prochaines batailles : scaler hors UE (US en ligne de mire), éduquer le marché, et obtenir une régulation adaptée au reconditionné (écotaxe, copie privée). Morale d'entrepreneur : rentable tôt, étape par étape, transformer l'océan rouge en océan bleu.[00:00:00] Introduction[00:02:00] Les débuts du reconditionné : Magic Recycle et la naissance d'un marché[00:07:00] L'échec fondateur et la création de Dipli, “l'OS du reconditionné”[00:14:00] Orange, le client phare : comment Dipli gère toute la chaîne de valeur[00:20:00] Passer de 0 à 100 M€ de GMV : le modèle rentable, data-driven et ESS[00:26:00] Les défis réglementaires : écotaxe, copie privée, et bataille européenne[00:34:00] Le pivot du Covid : 95 % du CA perdu, nouvelle vision gagnante[00:41:00] Les 3 clés du succès selon Reynold : rentabilité, phares clients et réalisme[00:46:00] Conclusion — Transformer l'océan rouge du reconditionné en océan bleuHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Lee Reynolds is Northern Ireland's first Commissioner for the Ulster-Scots and the Ulster-British tradition. The Coleraine man is a former DUP special advisor, Belfast city councillor and he's the man who coordinated the campaign for Brexit in Northern Ireland. What does the role entail? What is Mr Reynold's vision? And what changes can people expect to see, and hear? Lee Reynolds joined Ciarán Dunbar in the studio. Hosted on Acast. See acast.com/privacy for more information.

喜歡張大春主持的「聽說張大春」嗎？歡迎小額贊助我們，讓我們繼續產出優質節目＞https://open.firstory.me/join/thehearsayzhangdachun 主持人：張大春 來賓：陳亮 統一企業獨立董事 主題：亮哥快樂頌｜1975年曇花一現的樂團 播出曲目： 1. The Hustle / Van McCoy and th eSoul City Symphony 2. Magic / Pilot 3. Jackie Blue / Ozark Mountain Daredevils 4. How Long / Ace 5. Don't Call Us, We'll Call You / Sugerloaf 6. Fallin' Love / Hamilton, Joe Frank & Reynold 7. Sky High / Jigsaw 8. Precious and Few / Climax 9. Feelings / Morris Albert ----- ▍聽更多：https://flow.page/thehearsay ▍粉絲團：https://www.facebook.com/TheHearSayChannel ▍合作贊助：thehearsaytw@gmail.com Powered by Firstory Hosting

Send us a textDr. Reynold A. Panettieri, Jr, MD ( https://ritms.rutgers.edu/faculty/reynold-panettieri/ ) is the inaugural Director of the Institute for Translational Medicine and Science, and Vice Chancellor for Translational Medicine and Science, at Rutgers University, and previously served as the Director of the Airways Biology Initiative at the University of Pennsylvania. Dr. Panettieri's interests include the cellular and molecular mechanisms that regulate airway smooth muscle cell growth and the immunobiology of airway smooth muscle, which lead to the irreversible airflow obstruction and airway remodeling seen in patients with chronic severe asthma. Dr. Panettieri's lab also focuses on cytosolic signaling pathways that mediate gene expression and alter myocyte growth.Dr. Panettieri also served as the Deputy Director of the Center of Excellence in Environmental Toxicology at the University of Pennsylvania. He directed the human exposure chamber that defines the molecular mechanisms regulating ozone- and particulate matter-induced airway hyperresponsiveness.In addition to his research and clinical interests, Dr. Panettieri served as chairperson of the NIH Lung Cellular, Molecular, and Immunobiology Study Section, is a member of the NIH Distinguished Editorial Panel, and is a member of the American Society for Clinical Investigation and Association of American Physicians.Dr. Panettieri has an M.D. from University of Pennsylvania, and completed hisResidency and Fellowship at the Hospital of the University of Pennsylvania.Important Episode Links - As-Needed Albuterol–Budesonide in Mild AsthmaPublished May 19, 2025New England Journal Of Medicine -https://www.nejm.org/doi/full/10.1056/NEJMoa2504544BATURA Study Press Release - https://www.astrazeneca.com/media-centre/press-releases/2025/statistically-significant-clinically-meaningful-batura-phase-iii-trial-provide-evidence-airsupra-standard-care-as-needed-rescue-treatment-asthma.htmlAIRSUPRA (albuterol/budesonide) is a prescription medication used as a rescue inhaler for adults with asthma -https://www.airsupra.com/#ReynoldPanettieri #InstituteForTranslationalMedicineAndScience #RutgersUniversity #Asthma #COPD #ChronicObstructivePulmonaryDisease #AirwaysBiology #UniversityOfPennsylvania #Immunobiology #EnvironmentalHealth #Bronchiectasis #IdiopathicPulmonaryFibrosis #InterstitialLungDiseases #RescueInhalers #Albuterol #AIRSUPRA #Budesonide #Corticosteroid #BATURA #AstraZeneca #Exposome #RespiratoryDiseases #InflammatoryResponse   #ProgressPotentialAndPossibilities #IraPastor #Podcast #Podcaster #ViralPodcast #STEM #Innovation #Technology #Science #ResearchSupport the show

Matt Reynolds brings a message from Psalm 127.  He will begin a sermon series next week.

Lindsay and Madison discuss the history of Highwaymen, as well as all the shires, that robbing via horse is way cooler than robbing on foot, and how quickly one could meet the noose if they weren't careful. Information pulled from the following sources 2023 We Are South Devon article by Kevin Dixon 2021 The Boar article by Reece Goodall 2020 London Ghosts article by Tony McMahon 2019 Renaissance English History Podcast post by Heather 2017 Gloucestershire Crime History blog post by Jill Evans 2017 Just History blog post 2017 Reynold's News and Miscellany blog post Beaconsfield Historical Society article by Clare Bull Bite-sized Britain post Dark Oxfordshire article The Gazette article Historic UK article by Ben Johnson History article by James Brigden History of Bath Volume 13 article by Barbara White New Histories Volume 2, Issue 5 article by Tom Moult Our Warwickshire article by Anne Langley Watford Observer Wikipedia Wiltshire & Swindon History Centre article by Sophie Bunce Send us your listener questions to bit.ly/AskYOC. Become a member on Buy Me A Coffee for as little as $1/month to support the show.  Get your groceries and essentials delivered in as fast as 1 hour via Instacart. Free delivery on your first 3 orders. Min $10 per order. Terms apply. You can write to us at: Ye Olde Crime Podcast, PO Box 341, Wyoming, MN 55092. Leave us a rating and review on Apple Podcasts, Podchaser, Spotify, Podcast Addict, Audible, or Goodpods! Don't forget to follow us on Twitter, Instagram, Threads, Facebook, TikTok, and YouTube. Learn more about your ad choices. Visit megaphone.fm/adchoices

The guys are joined by Samford Tennis Coach Oliver Reynolds. They discuss the program and hear a little about his journey back to Samford.

00000197-836e-d51d-a9d7-f36f37ee0000https://www.wvik.org/podcast/good-morning-from-wvik-news/2025-06-18/iowa-house-lawmakers-sign-up-for-special-session-to-override-gov-kim-reynolds-veto-of-carbon-capture-pipeline-billJoseph LeahyIowa House lawmakers sign up for special session to override Gov. Kim Reyn

Anna found a list of the things that are considered an older person habit that that younger people are doing! Her husband made fun of her for one thing that helped on vacation! Anna lists three news stories that seem almost out of this world, and Raven can only pick and hear about one! Raven was on a line at the pet store and there was hostile energy behind him because he needed to use his coupons! Anna was at Costco and waited in line because someone was on the phone with their credit card company! Find out what happened! Anna and Raven take the test to see how their job ages them! Find out how much their job has aged them and take it yourself: https://www.harleystreetskinclinic.com/data/ageing-jobs-calculator/ Anna was “attacked” by a horse at a St. Patrick's Day Parade but not in the way you would think! She wants to know if this has happened to other people! Samantha's husband, David, doesn't think he should be forced to dance with his wife at bars/clubs/weddings. He says that he's 40 years old, he's too old to be dancing at bars with her. She's suggested if he won't dance with her at any of these places, then he can't get mad when she dances with other guys. He thinks that's ridiculous. Why does she need to dance with anyone?  Just dance with your girlfriends or by yourself. She says it's not the same. What do you think? Reynold has a chance to win $8400! All Reynold has to do is answer more pop culture questions than Raven in Can't Beat Raven! 

  Noah, Kennedie, and Augustine have faithfully served with Crossworld in Thailand for the past six years. Throughout their ministry, they have experienced incredible moments—witnessing teenagers come to faith, be baptized, and grow as disciples. In the last two years, their focus shifted from working in local schools to launching their own. However, recent legal challenges and visa complications have led them to the difficult decision to leave the field and return to the U.S. If you've ever been called to a ministry or job that felt like the perfect fit but was no longer an option, you understand the heartache and uncertainty that can follow. The Reynold family is navigating that transition now and would deeply appreciate our prayers and support as they seek new opportunities to serve. They are incredibly gifted, and we trust that God has a meaningful place for them in this next season. We are profoundly grateful for their dedication over the past decade and for the partnership we've shared through All Shores. We celebrate all they have accomplished and the impact of their ministry. Thank you, Noah and Kennedie—we are so proud of you! For more information or ways to engage, please contact thad.spring@allshores.org  

Welcome to Director Watch! On this AwardsWatch podcast, co-hosts Ryan McQuade and Jay Ledbetter attempt to breakdown, analyze, and ultimately, get inside the mind of some of cinema's greatest auteurs. In doing so, they will look at their filmographies, explore what drives them artistically and what makes their decision making process so fascinating. Add in a few silly tangents and a fun game at the end of the episode and you've got yourself a podcast we truly hope you love. On episode 86 of the Director Watch Podcast, the boys are joined by Pop Culture Confidential host Christina Jeurling Birro to discuss the next film in their Mike Nichols series, Postcards from the Edge (1990). As we enter the 1990s, Mike Nichols is coming off one of the most successful films of his career, and with his follow-up to Working Girl, he brings to life the deeply honest, humorous, personal story of Carrie Fisher's autobiographical novel, Postcards from the Edge. Based on Fisher's novel inspired by real life events from her childhood, relationship with her mother Debbie Reynolds, her acting career post Star Wars, and her battle with substance abuse, Nichols is expertly able to bring every element of Fisher's life together with a brilliant performance by Meryl Streep, and the excellent work by Shirley MacLaine playing her version of Reynolds, and the tragic yet relatable bond the real mother-daughter had while going through the Hollywood machine. Ryan, Jay, and Christina break down their thoughts on the film, their connection to Fisher and Reynold's careers, how different a role like this is for both Streep and MacLaine, the perfect use of Gene Hackman, the film's depiction of substance abuse and if it goes deep enough on the matter, and the what might possibly be the funniest moment in the history of the show with the discovery of the plot of a Disney Channel original movie from 2004 and how it all ties to the career of Debbie Reynolds. And no, we aren't talking about Halloween Town. You will have to listen to find out, and trust us, it's worth it. You can listen to the Director Watch Podcast wherever you stream podcasts, from iTunes, iHeartRadio, Soundcloud, Stitcher, Spotify, Audible, Amazon Music and more. This podcast runs 1h48m. The guys will be back next week to continue their series on the films of Mike Nichols with a review of his next film, The Birdcage. You can rent it via iTunes and Amazon Prime rental in preparation for the next episode of Director Watch. Till then, let's get into it. Music: MUSICALIFE, from Pond5 (intro) and “B-3” from BoxCat Games Nameless: The Hackers RPG Soundtrack (outro).

Colorado Springs artist and arborist Reynold Mackey on his decade of hand-carving accurate physiographic globes out of solid wood, how to translate a 2D topobathymetric map onto a sphere, art as family business, casting globes in bronze, chainsaw-carving to Hendrix and dental pick-carving to Debussy, why hard work is an ally to meaning, learning welding, leatherwork and paper lacquering to make globe enclosures, the acrobatic stillness of trees, and how, unsurprisingly, he “could never take any shortcuts.” See his work at globesculptor.com and @globesculptor on IG Art Castings of Colorado Vincenzo Coronelli Manitou Art Center Need maps for your org's reports, decks, walls and events? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Map Consultancy makes real nice maps, real fast.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ See what good maps can do for you at themapconsultancy.com I have three words for you: Big. Glowing. Maps. Depending on how that makes you feel, you might like two more words: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Radiant Maps⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. See ultra-detailed backlit maps at radiantmaps.co Time for some map gifts: get 10% off woven cotton map blankets with code 10OFF, everything ships free – ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.etsy.com/shop/RadiantMaps?coupon=15OFF

Xavier University of Louisiana president, Dr. Reynold Verret talks about Xavier's centennial anniversary and how Black institutions of higher learning can best navigate the onslaught of anti-Blackness coming from Washington.Become a supporter of this podcast: https://www.spreaker.com/podcast/tavis-smiley--6286410/support.

How are you feeling after the U.S presidential election? Although Election Day is over a few weeks past, many have been grappling with the fallout of the result. Emotions are being experienced in a wide range, with some people elated, to others in despair. Students on UNR's campus expressed these feelings and more, on the latest episode of the Reynolds Hotbox. The #NevadaVote team, took to unpacking this loaded topic, by gathering perspectives of different and diverse students around campus. The dedicated student reporters also spoke with mental health counseling service professionals on campus, to understand the situation from an expert's point of view. These professionals have been ramping up their efforts to meet a wide array of needs and concerns that have followed in the wake of the election, and took the time to discuss their experience for the podcast. This episode of the #Reynold'sHotbox hosted by Quay Skankey who is joined by Kathleen Leslie and Daniel Mariani, not only provides these interesting perspectives, but also looks into how people are managing what is a difficult time for some people. Some are needing support, while others are looking for ways to support others. Learn the ways people are moving forward, helping one another, and keeping a positive attitude, in this post-election Reynold's hotbox special edition.

Tim Reynolds talks about how Echevaria is the right person at the helm to run the University of Miami, especially in the new NIL era of collegiate sports. Reynolds also touches on how big of a brand the Canes have and the possibility of a conference change. The Cam Ward heisman talk continues…

Rotorua locals are calling for all of the city's emergency motels to be shut down right away. The Government's applied to keep seven motels operating after their resource consents expire in December. Independent commissioner David Hill will look at 176 submissions and decide whether to renew them. Of the 37 submitters, 36 are against. Rotorua District Residents and Ratepayers chair Reynold Macpherson told Mike Hosking that they don't have any faith in the commission process. He said that it's set up by the council, and always seems to come out with their preferred situation. LISTEN ABOVE See omnystudio.com/listener for privacy information.

Meet Coach Paul Reynold Your Guide to Fitness and Sports Excellence! Most professional and college athletes have an agility and movement coach. Find out how to up your game or your child's game to the next level with Coach Paul!  Since 1998, Coach Paul has been transforming lives with his passion for fitness and sports. Starting as a Personal Trainer, his journey of dedication and excellence saw him become a Certified High School Strength and Conditioning Specialist in 2008, and a Youth Speed and Agility Specialist in 2010. Beyond the gym, Coach Paul has spent a decade coaching youth baseball, softball, basketball, volleyball, and football, sharing his knowledge and enthusiasm with the next generation of athletes. In 2017, he founded SPEED World, a testament to his commitment and expertise. Now, Coach Paul is ready to inspire and guide you towards your fitness and athletic goals. Join Coach Paul and experience the difference dedication and expertise can make. Your journey to fitness and sports excellence starts here! Please feel free to email him at philgeorge@charter.net with any health/nutrition/exercise questions. https://www.wellnesswave.net/

Today's packed FFR features discussions on Nico Collins, Quentin Johnston, and Tony Pollard as well as prospect discussion involving Arch Manning, Rocket Sanders, Cam Ward, and so much more.FULL TIMELINE: Intro / Tua -- 0:00PODCAST RECORDED BEFORE BRYCE YOUNG NEWSNFL: Nico Collins -- 3:45 || Quentin Johnston -- 8:15 || Young Players (Harrison, Nabers, Bowers, Allen, Smith-Njigba, Flowers, Jameson, Polk) -- 14:00 || Buys (Pollard, Robinson Jr., Reynold) -- 19:00 || Richardson + Daniels WRs -- 23:30 || Gardner Minshew -- 26:55 || TEs (LaPorta, Kincaid, Andrews/Likely) -- 27:50 || JK Dobbins / Antonio Gibson -- 32:55 || Bryce Young (see above) -- 35:30 || Christian Kirk -- 41:00 || Other NFL Quick Notes (White, Jacobs, Jeudy, Stafford, Fields, Burrow, Pacheco) -- 43:30 || Deep Leagues (Tutu Atwell & Luke Schoonmaker) -- 47:50 || Caleb Williams -- 49:30 || Bo Nix -- 52:10Arch Manning & Quinn Ewers -- 56:10College Football Risers Week 3: Cam Ward -- 69:30 || Garrett Nussmeier -- 73:30 || Raheim "Rocket" Sanders -- 77:55 || Isaiah Bond -- 79:00 || Avery Johnson -- 81:25 || Nico Iamaleava & Jackson Arnold -- 82:20 || Jeremiyah Love & Darius Taylor -- 83:05 || Caden Durham -- 84:15 || Ryan Williams & Ryan Wingo -- 85:50 || Tetairoa McMillan -- 87:10 || Luther Burden III -- 88:10 || Evan Stewart -- 89:45 || Jordan James -- 91:35 || Ollie Gordon II -- 92:00 || Dylan Sampson -- 94:40 || TCU/UCF -- 95:00 || Tai Felton -- 95:20 || Tre Harris -- 96:00 || Ja'Quinden Jackson -- 96:20 || Lev Moss, Maalik Murphy, Gunner Helm, Eli Holstein -- 96:30 || Carson Beck -- 98:00 || Damien Martinez -- 99:20 || Luke Lachey -- 99:45Ending Notes -- 100:55 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjfreel.substack.com

Blake Lively faces backlash and controversy surrounding her new movie 'It Ends With Us' as allegations of a major divide between the director, Justin Baldoni, and the rest of the cast have been spreading across social media. In this episode, Kiki is joined by Shannon Hill, of Shannon Hill news, to ask, “is any of it even true?” Some claim Lively's responses to questions about the movie and domestic violence have been dismissive and insensitive, leading to criticism from survivors and the public. Together, they also touch on the marketing of the film, the power of TikTok, and Blake Lively's other projects. The conversation concludes with speculation about whether Lively and Reynold's can come back from this. @shannonhillnews Learn more about your ad choices. Visit megaphone.fm/adchoices

There have been rumors for months that Taylor Swift will be making a surprise cameo in the new Deadpool movie. Hate to tell you Swifties, but it looks like it's not happening. But what we did learn is that she is VERY influential in the Reynold's household, especially when it comes to baby names. 

Jason shares the power of understanding our purpose and following your dreams with intentional action.

In early March 1879, fifty-five-year-old widow Julia Martha Thomas disappeared from her home in southwest London. Julia often travelled by herself on moment's notice, so neighbors thought nothing of her absence; however, when several female body parts were discovered in the Thames, police uncovered a gruesome crime that not only involved theft and impersonation, but also the ghastly murder of Julia Martha Thomas.Thomas's maid, Kate Webster, was quickly arrested and charged with Julia's murder. Through their investigation, detectives discovered that Thomas had recently given Webster notice of termination after only one month. Days before she was to leave Thomas' home, Webster murdered her employer, then dismembered her body and posed as Julia in order to sell off the murdered woman's belongings for a quick profit. Although she maintained her innocence, Kate Webster was tried, convicted, and executed for the crime, finally confessing her guilt just hours before she went to the gallows.The ”Richmond Murder,” as it was dubbed by the press, captivated Londoners for months and Webster's trial and execution became something of a public spectacle. In Victorian-era England, few people believed a woman capable of committing murder, much less dismemberment and rendering of a human body. Given that, and the shocking viciousness of the crime itself, the Richmond Murder remains one of London's most notorious murders of the late nineteenth century.Thank you to the incredible Dave White of Bring Me the Axe Podcast for research!ReferencesBirmingham Evening Mail. 1879. "Solution of the Barnes mystery." Birmingham Evenign Mail, March 26: 3.Blake, Matt. 2011. Attenborough skull mystery finally solved. July 6. Accessed June 23, 2024. https://www.independent.co.uk/news/uk/crime/attenborough-skull-mystery-finally-solved-2307530.html.Lloyd's Weekly Newspaper. 1879. "The Barnes mystery." Lloyd's Weekly Newspaper, March 16: 5.O'Donnell, Elliot. 2010. The Trial of Kate Webster. New York, NY: Gale, Making of Modern Law.Portsmouth Evening News. 1879. "The Richmond murder." Portsmouth Evening News, July 9: 3.Shaver Hughes, Sarah, and Brady Hughes. 1997. Women in World History: Readings fom 1500 to the Present. London, UK: Routledge.The Citizen. 1879. "The Barnes Mystery." The Citizen, March 13: 3.The Journal. 1879. "The Barnes mystery." The Journal, March 14: 3.The Times. 1879. "TRhe murder and mutilation at Richmond." Reynold's Newspaper, April 6: 6.—. 1879. "The murder at Richmond." The Times, April 1: 5.—. 1879. "The supposed tragedy at Richmond." The Times, April 3: 2.Wood, Walter. 1916. Survivors' Tales of Famous Crimes. London, UK: Cassell.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In 1851, an unknown man suddenly appeared in a small town Germany, saying he was a survivor of a shipwreck, but claiming to be from a country (and continent) that no one had ever heard of. Yet, he was fully believed. The police chief wondered if he might have somehow traveled from another world. Support this podcast === EPISODE RELEASE DATE:  06/26/2024. === HISTORICAL REFERENCES: Newspaper Clipping of the Day, Strange Company, Wednesday, July 9, 2014. Jophar Vorin, Obscure Legends Wiki (2021). A New Man, Reynold's Newspaper, London, England, April 13, 1851. ⁠Jophar Vorin⁠, Paranormal Strange Wiki (2023). Incredible, But True: Voice of the Dead⁠, Episode of ⁠radio broadcast⁠ (1951; exact date unknown). === VOICES - The Man From Nowhere: Narrator - ⁠⁠⁠⁠⁠Kit Caren⁠⁠⁠⁠⁠, co-host of Forgotten News Podcast. === MISCELLANEOUS: Host Intro – Nina Innsted, host of the ⁠⁠⁠⁠Already Gone⁠⁠⁠⁠ podcast. Exit Aphorism - extract from "The Duty of the Historian" (1921) by G.K. Chesterton. Aphorism Voice - ⁠⁠⁠⁠Kit Caren⁠⁠⁠⁠, co-host of Forgotten News Podcast. === MUSIC: Kevin MacLeod  of⁠⁠⁠⁠ Incompetech.com⁠⁠⁠⁠ – Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses / by 3.0. At Rest The Curtain Rises I Knew A Guy. === All Sound Effects & Short Instrumentals Are From ⁠⁠⁠⁠Freesound.org.⁠⁠⁠⁠ === HEY!  CONTACT US! E-Mail:  ⁠⁠⁠⁠ForgottenNewsPodcast@gmail.com ⁠⁠⁠⁠ FNP Facebook page: ⁠⁠⁠⁠https://www.facebook.com/Forgotten-News-Podcast ⁠⁠⁠⁠ Kit Caren's Facebook page: ⁠⁠⁠⁠https://www.facebook.com/people/Kit-Caren/100085459732466⁠⁠⁠⁠ X - formerly known as Twitter: ⁠⁠⁠⁠@NewsForgotten⁠⁠⁠⁠ ⁠⁠⁠⁠@KitCaren ⁠⁠⁠⁠

Nous sommes en novembre 1935, à Lisbonne. A l'issue de sa rencontre avec Antonio de Oliveira Salazar, le « moine-dictateur », comme on l'appellera, l'essayiste contre-révolutonnaire suisse Gonzague de Reynold, dresse le portrait du président du Conseil portugais. Il rapporte : « Salazar entre, la main tendue. Une forte main blanche. Il parle d'une voix basse et douce, laissant parfois la phrase interrompue ou plutôt continuée par la pensée. Il vous regarde, la tête penchée vers vous, de ses yeux perçants, au regard droit. Il est grand, avec une tendance à se voûter comme sous une charge constante et lourde (…). Un air de jeunesse et de maturité, d'indépendance et d'autorité. Un timide intimidant, qui défend sa vie intérieure. Un homme de pensée transformé par devoir en homme d'action. Un maître devenu un chef. » Deux ans plus tard, Salazar se confie au français Henri Massis, homme d'extrême-droite, qui sera condamné pour sa participation au régime de Vichy. Il lui dit : « Ce que je veux, c'est faire vivre le Portugal habituellement, c'est gouverner sans ces violences contraires à la douceur des coutumes du peuple, c'est reconstruire le pays normalement, sans prétendre réaliser l'impossible, sans tenter de faire changer la nature des choses et des hommes. » Le professeur d'université, en apparence effacé, presque ascétique, a pourtant mis en place une dictature intraitable, soutenue par l'Eglise, l'armée et le patronat. Un régime qui va plonger le Portugal dans la terreur durant plus de quarante ans. Mais la peur explique-t-elle à elle seule la longévité du système ? A quel point la nation, à laquelle le « dictateur malgré lui » (autre surnom) disait être marié, a-t-elle adhéré ? Jusqu'où les puissances étrangères ont-elles été complaisantes ? Quels sont les ferments, dans l'histoire intime d'un homme, qui le mènent à une carrière de dictateur ? L'énigme Salazar est épaisse : ne nous décourageons pas … Invité : Yves Léonard, enseignant à Sciences Po Paris. « Salazar – Le dictateur énigmatique » aux éditions Perrin. Sujets traités : Salazar, moine, dictateur, Gonzague de Reynold, Henri Massis, extrême-droite, Eglise, énigme Merci pour votre écoute Un Jour dans l'Histoire, c'est également en direct tous les jours de la semaine de 13h15 à 14h30 sur www.rtbf.be/lapremiere Retrouvez tous les épisodes d'Un Jour dans l'Histoire sur notre plateforme Auvio.be : https://auvio.rtbf.be/emission/5936 Et si vous avez apprécié ce podcast, n'hésitez pas à nous donner des étoiles ou des commentaires, cela nous aide à le faire connaître plus largement.

Don't have time to listen to the entire Dave & Chuck the Freak podcast? Check out some of the tastiest bits of the day, including Florida cracking down on rub and tugs, the most boring video on YouTube, a toddler drew on his mom's car, and more!

Simon Reynolds in conversation with David Eastaugh https://store.whiterabbitbooks.co.uk/products/futuromania Simon Reynolds's first book in eight years is a celebration of music that feels like a taste of tomorrow. Sounds that prefigure pop music's future - the vanguard genres and heroic innovators whose discoveries eventually get accepted by the wider mass audience. Starting with an extraordinary chapter on Giorgio Moroder and Donna Summer, taking in illuminating profiles of Ryuichi Sakamoto, Boards of Canada, Burial, and Daft Punk, and arguing for Auto-Tune as the defining sound of 21st century pop, Futuromania shapes over two-dozen essays and interviews into a chronological narrative of machine-music from the 1970s to now. Reynolds explores the interface between pop music and science fiction's utopian dreams and nightmare visions, always emphasising the quirky human individuals abusing the technology as much as the era-defining advances in electronic hardware and digital software.

On today's episode, we are talking to the multi-hyphenate sustainability and responsible investment leader Fiona Reynolds about the intersection of the E and the S and why it matters for business.

Wayne Elliott joins the podcast via a connection with Bobby Malone (Episode 150). Wayne and Bobby knew each other from the time when they worked at Reynold's Aluminum together. Wayne retired, moved to Kansas and they lost touch, but got reconnected about two years ago and have been talking ever since. He grew up in Essex County, VA and played a lot of baseball. He went on to play at both Ferrum and Randolph Macon. His love of baseball came from his Dad who he unfortunately lost when he was in eighth grade. They talked about his work, baseball, playing softball and golf and we learned about a unique backyard game he played growing up. They ended by talking about what keeps Wayne busy nowadays and vowed to meet each other if Wayne ever makes his way back to Virginia for a visit.

A Sigún Reynold Alexander. Uno de los magos más prestigiosos de nuestro vecino Puerto Rico, con quien tuvimos una amplia conversación sobre una de sus obsesiones: El Mago Harry Houdini. Hablamos del oficio y nos hizo varios trucos sorprendentes.Esto es A Sigún Reynold Alexander con Carlos Sánchez. Ep. 139.29 de febrero en Santo Domingo2 de marzo en Orlando y 3 en Tampa12 de abril MiamiBoletas en carloscomic.comApoya este podcast en patreon.com/carlossanchez

Join Jim and Greg as they set the stage for today's off-year elections that will have big consequences in states like Virginia, Kentucky, Louisiana, Mississippi, New Jersey and more. Then they kick off the martinis with a focus on Iowa Gov. Kim Reynolds endorsing Florida Gov. Ron DeSantis for president. How much does her endorsement matter and will we actually get a competitive primary?They also shudder at the news that our annual interest payments on the national debt are now more than $1 trillion per year. It's an issue that both parties have intentionally ignored for decades and the consequences are going to be ugly.Finally, they roll their eyes as Florida Rep. Jared Moskowitz insists that lousy polls for President Biden over the past two years are merely a "messaging issue."Please visit our great sponsors:4Patriothttps://4Patriots.com/martiniCatch the deal of the day before it is gone! After Deathhttps://angel.com/threemartinilunchNow in theaters. Check for a theater near you and get tickets today. Rated PG-13HumanN Super Beetshttps://getsuperbeets.comUse promo code SARA for a free 30-day supply of Superbeets Heart Chews and 15% off your first order.

April 14th, 1897 --- Support this podcast: https://podcasters.spotify.com/pod/show/theaxemurderdiaries/support

This episode of EMS One-Stop With Rob Lawrence is brought to you by Lexipol, the experts in policy, training, wellness support and grants assistance for first responders and government leaders. To learn more, visit lexipol.com. This edition of EMS One-Stop was recorded in New Orleans at the 2023 EMS World Expo.  Host Rob Lawrence is joined by a range of guests who discuss the sessions they presented and the latest developments in clinical medicine. Alexia Jobson, director of public relations at REMSA, discusses top tips for dealing with the media, and she then interviews media pre-con student Katherine Robillard.  Peter Antevy, MD, describes his conference session, titled “Five protocol changes you're too afraid to make.” Brian Maloney of Plum EMS, in Pennsylvania, talks culture of safety, and lights and sirens reduction (and their results within the NEMSQA L&S reduction program). Doug Wolfberg, Esq., of Page, Wolfberg & Wirth, steps in to discuss leadership lessons from the Beatles and his new book – "Beatles FAB but True." The episode concludes with veteran EMS podcasters Chris and Anne Monterra, who offer tips on the art of podcasting. TOP QUOTES FROM THIS EPISODE “‘No comment is a comment!' So you really want to avoid that as part of your media strategy and work to develop some transparent and honest information when those tough questions come.” — Alexia Jobson “Anything that you say to a reporter is considered on the record and can be used in a news story.” — Alexia Jobson “Top tips for going on camera: You want to make sure that they are knowledgeable about what they are going to be talking about, you want them to be a willing participant and able to re-frame and be positive about the content they are going to cover.” — Alexia Jobson “It's important for you to just spend a little time looking inside your organization, recognize those important stories that you want to share, and then make sure that you commit some time and resources to building those relationships with your audiences ... having that positive relationship in place will go a long way. And it's also important as a profession that we work together to kind of raise the profile of out of hospital healthcare and EMS.” — Alexia Jobson “Getting out the door, our shoot time is the No. 1 thing that can decrease our response times. It's not driving lights and sirens; it's not driving recklessly or speeding or not obeying the laws ... it's getting out that door quick from the time of dispatch to the time our truck's pulling out of the garage.” — Brian Maloney “When we first started looking at the use of lights and sirens during transport to the hospital, which is right there, that increases our chance of getting in a wreck threefold and so it's very dangerous. When we first started it, we were at 26% of the time using lights and sirens during transport; we're down to almost 2%, for transport to the hospital. For response to calls, we were about 46-48% of the time using lights and sirens; we're down to 7% of the time now.” — Brian Maloney “Antibiotics for sepsis, so a lot of people are fearful of giving antibiotics, and why? Because the hospital says we need to have a culture, a blood culture. Turns out that's not true. If the patient's hypotensive, they're fixing to die, as they say. And we in Palm Beach County can give the antibiotics within 12 minutes of the 911 call. And our own data shows that the hospital is giving antibiotics at 120 minutes. That's a 10-fold difference in that. So, antibiotics for sepsis are, I think, a major item.” — Dr. Peter Antevy “There's a story about how the Beatles had a drummer for a couple of years before Ringo. He wasn't quite the right fit for that band. He's a good drummer. But when they got Ringo in, they took off, right? So, in EMS, we tend to think if somebody has a pulse and a patch, let's hire them or let's bring them in. But we need the right people.” — Doug Wolfberg “Recognize your own limitations, I tell a story about how the Beatles sort of came on hard times when their manager died, but weren't quite wise enough to know what they didn't know. They thought ‘we can manage ourselves,' and so it's to also recognize your limitations and get the skills that you need, if you don't possess them yourself, with your team.” — Doug Wolfberg EPISODE CONTENTS 01:15 – Media management with Alexia Jobson (REMSA) 09:22 – Alexia Jobson interviews Katherine Robillard (LA Office of EMS) 11:37 – Brian Maloney (Plum EMS) talks culture of safety and lights and sirens reduction 20:15 – Dr. Peter Antevy on the five protocol changes you're too afraid to make 23:54 – Doug Wolfberg Esq. (Page, Wolfberg & Wirth) on leadership lessons from the Beatles 28:13 – Chris and Anne Monterra on the art of podcasting ABOUT OUR GUESTS Alexia Jobson REMSA Alexia Bratiotis Jobson is the director of public relations and serves the organization by expanding opportunities for engagement, promotion, communication and relationship-building. She has more than two decades of business and communications experience. Prior to joining REMSA Health, Alexia worked as a senior account director with KPS3, where she managed REMSA's client account, as well as accounts related to industrial real estate and higher education. She held communications-related positions with Renown Health and the Nevada Museum of Art. She holds an Accreditation in Public Relations (APR). This certification asserts professional competence, high ethical standards and mastery of progressive public relations industry practices. She is a Nationally Registered Emergency Medical Technician and is a graduate of the University of Nevada, Reno's Reynold's School of Journalism. She serves as the immediate past president of the board of directors for Western Industrial Nevada (WIN), Chair of the Public Relations Committee of AIMHI and chair of the American Ambulance Association Communications Committee. Dr. Peter Antevy Peter M. Antevy, MD. is a pediatric emergency medicine (EM) physician practicing in-hospital emergency medical care at Joe DiMaggio Children's Hospital, a level I trauma and tertiary care center in South Florida. Board-certified in pediatrics, emergency medicine and the complex subspecialty of EMS, he is also the founder and chief medical officer of Handtevy – Pediatric Emergency Standards, Inc.; and he serves as the medical director for Davie Fire-Rescue, Coral Springs-Parkland Fire Rescue, Southwest Ranches Fire Rescue and United Medical Transport, all in South Florida. Dr. Antevy also serves as associate medical director for several other agencies, including Palm Beach County, Florida, and he is also the longstanding medical director for two highly regarded paramedic training programs as well as several mobile integrated healthcare (MIHC) programs in greater Broward County, Florida. Brian Maloney Brian Maloney has been working in EMS for over 24 years as a practitioner, educator and leader. His EMS career began while attending the University of Pittsburgh, where he obtained his paramedic certification and bachelor's degree in emergency medicine. Later, he continued his education and achieved his Master of Science degree from Carlow University. He has spent most of his career working in the field and had the opportunity to teach with the Center for Emergency Medicine and the University of Pittsburgh. Currently, he is the director of operations of Plum EMS, where he has been for the past 5 years. His love and appreciation for the EMS profession run deep, and he continuously strives to help make it that much better. Doug Wolfberg, Esq. Doug Wolfberg has been a well-known national EMS leader for decades. He is an EMS attorney and consultant, and a founding partner of Page, Wolfberg & Wirth. He has served as an EMS practitioner and has held positions at the county, regional, statewide and federal levels in his EMS career prior to becoming an attorney. He has written hundreds of articles and has been one of the most highly rated presenters at EMS conferences throughout the U.S. He earned his law degree magna cum laude from Widener University School of Law and holds an undergraduate degree from Penn State University. Doug also serves as an adjunct professor of law at Commonwealth Law School and as an adjunct professor at the University of Pittsburgh. Chris Montera Christopher Montera has more than 34 years of experience in paramedic services, public health, and the fire service. He is the director of State and Federal Programs for ESO and the former chief executive officer at Eagle County Health Service District and holds a master's degree in health leadership. Chris is serving as the National EMS Museum Treasurer for 2023. Anne Montera Anne Montera received a master's degree in health leadership from Western Governors University and a BSN from Bethel College. She has over 20 years of nursing experience in public health, labor and delivery, patient safety/quality improvement, and EMS coordination in urban and rural hospitals and community settings, including the use of telemedicine. In her previous role as the senior VP of quality for Ready Responders, she worked to research, develop and implement quality matrix to demonstrate program cost savings and health impact. She was also the executive director for the Central Mountains RETAC, supporting a 6-county EMS and trauma region in Colorado. She is the co-creator and public health partner for the first National Community Paramedic Pilot Program in rural Eagle, Colorado. She received the State of Colorado EMS Region of the year in 2019 and Colorado Nightingale Luminary Award for Innovation work on the Colorado community paramedic program in 2011. ADDITIONAL RESOURCES Team-driven improvement in the use of lights and sirens – Plum EMS use cases demonstrate when the risk of using L&S is lower than the risk of delaying a lifesaving intervention RATE AND REVIEW THE EMS ONE-STOP PODCAST Enjoying the show? Please take a moment to rate and review us on Apple Podcasts. Contact the EMS One-Stop team at editor@EMS1.com to share ideas, suggestions and feedback.

Happy Birthday week to Travis & Donna Kelce!Cosmic comedians Molly Mulshine and Sara Armour reflect after Taylor Swift's second week in the NFL and explore the astrology of Travis Kelce's teammates from Day 1: Donna Kelce & Jason Kelce. PLUS: Will Traylor save Democracy? Taylor is a WITCH!12:40 Sunday night, Taylor Swift, the Reynold's, and her entourage of divorcées joined Mama Kelce in the box for the Jets vs. Chiefs game. Taylor and Blake Lively are caught fan-girling over Travis on the Jumbotron but what was the punchy punch move about? Any lip readers out there? SOS What are they saying!? 20:00 This is a humbling, post-Kobe awakening moment for the men! The Kelce's love women! Let the Kelce's lead the men into family values and humility! 25:49 All hail Donna Kelce aka the Kris Jenner of the NFL. From the State Farm photo opp in podcast merch to chest bumping THlkr in the box this momager means business.26:57 Kelce Family Astrology. Travis Kelce: Libra Sun/Mars, Sag Moon, Virgo Mercury, Scorpio Venus, South Node in Leo / North Node in Aquarius (Patreon for deep dive of Travis and TYlor relationship astrology & compatibility)28:35 Donna Kelce Astrology : Libra Sun, either Gemini or Cancer Moon, Scorpio Venus , Sag Mars, South Node in Leo conjunct Lilith/ North Node in Aquarius.38:25 Jason Kelce Astrology: Scorpio Sun, Taurus Moon, Sag Venus, Libra South Node / Mars, Aries North Node.47:00 Did Taylor Swift channel Mary's Song (Oh, My My My) and her entire first album to specifically manifest soulmate Travis Kelce, 15 years later? Future Traylor predictions. Write out your desires, Trashlings!Join the Patreon & tell us all your thoughts about Traylor & the Kelce's! Patreon.com/SpaceTrashPodcastCheck out our blog at SpaceTrash.coSubscribe & leave a 5-star review! Hosted on Acast. See acast.com/privacy for more information.

Give us about fifteen minutes a day and we will give you all the local news, local sports, local weather, and local events you can handle.   SPONSORS: Many thanks to our sponsors... Annapolis Subaru, the SPCA of Anne Arundel County,  Solar Energy Services, Hospice of the Chesapeake, Scout & Molly's, and Alpha Engineering. Today... Another shooting in Annapolis, this time a man in Eastport and the Annapolis Police Department's report is differing from witnesses. Chris's Charcoal Pit is now once again open! Reynold's Tavern is for sale--but we told you that back in May, but it is official now. The Annapolis Rotaract is ready to Rock the Dock this Thursday. And thanks to Rams Head On Stage we have tickets to give away to several shows at the Annapolis Songwriters Festival! And a big thanks. to our new subscribers to the Daily New Recap Newsletter! Daily Newsletter Subscription Link: https://forms.aweber.com/form/87/493412887.htm And as usual, George from DCMDVA Weather is here with your local weather forecast! Please download their app to keep on top of the local weather scene! The Eye On Annapolis Daily News Brief is produced every Monday through Friday at 6:00 am and available wherever you get your podcasts and also on our social media platforms--All Annapolis and Eye On Annapolis (FB) and @eyeonannapolis (TW) NOTE: For hearing impaired subscribers, a full transcript is available on Eye On Annapolis

On this week's edition of the Reynold's Hotbox, reporters Derek, Kailee, Dom, and Brooke discuss what they have going on this upcoming fall semester and each give a tidbit of advice on how to deal with school and keep a social life.

节目推荐 一个没人关注的失踪案，如何在一夜之间变成流量的宠儿？ 「跳进兔子洞」经过一个月的调查和采访发现，在一个 15 岁男孩消失的背后隐藏着诸多推手。他们让这起事件变得扑朔迷离、错综复杂，最终演变成了一出永远无法落幕的悲剧。 这是关于谣言如何战胜事实的故事，也是关于真相是怎么被一股怪力拼凑出来的故事。欢迎点击链接 (https://sourl.cn/vb2jNm)，收听节目！ 兔子洞 https://files.fireside.fm/file/fireside-uploads/images/4/4931937e-0184-4c61-a658-6b03c254754d/bi6p4wT2.png 活动邀请 年初我们曾有一个构想，重新将科技世界的探索重心拉回硅谷，并且在硅谷进行一场小范围的活动。 这个夏天，我们终于找到了合适的机会，跟大家细聊「后GPT时代」的硅谷风向。 「科技早知道」邀请身在硅谷的胡同会员，与主创团队一起，用声音去定格今夏的硅谷科技世界。8 月 6 日下午一点，我们硅谷见。报名 请点击这里 (https://sdhp.memberful.com/posts/17909)。国内支付的会员 请点击这里报名 (https://shengfm.zhubai.love/posts/2295917314924941312)。 Shownote 时隔一年，我们又请来了超级独角兽数据和 AI 公司 Databricks 的联合创始人 Reynold Xin。 最近几个月人工智能如火如荼，而 Databricks 不但刚刚用13亿美元收购了明星 AI 公司 MosaicML，还显著加强了和 Snowflake 等友商的竞争。 "It's the best time to be alive"，许多硅谷大厂和顶级创业公司的创始人感到现如今正是伟大诞生的时代。生成式人工智能的到来，不仅让全球数十亿人首次感受到了 AI 的强大，更让企业级市场的佼佼者们，看到了新一波洗牌机会的到来。 就让我们从硅谷徐老师和 Reynold 的视角，来体会 AI 云数据库领域的优秀从业者们的兴奋，看看他们是怎样看待 ChatGPT 所引发的这一次生成式 AI 热潮的，以及解答一个终极难题：人类如何与 AI 共存？ 主要话题 [05:50] 生成式 AI 对软件业的最大冲击，可能在于交互方式的彻底改变 [18:17] 科技早知道硅谷线下见面会，启动！ [21:04] Reynold 点评自己和友商 Snowflake 最近一次用户大会的「对决」以及谁造成了发布会 [25:44] 对于企业级行业来说，开源和闭源的大语言模型的优劣？ [32:12] 为什么 Reynold 认为超大语言模型不一定适合企业级场景？盲目上大模型有哪些弊端？ [36:18] GPU 缺货的背景下，AI 和数据库公司如何聪明地突破算力的瓶颈? [45:49] Databricks 为什么收购 MosaicML？这是一家「历史上增长速度最快」的企业服务公司 [49:14] 通用人工智能 (AGI) 对人类将会产生哪些看得见摸得着的影响？Reynold 对AI/数据科学领域新人的建议 本期人物 硅谷徐老师，硅谷连续创业者、人工智能高管、斯坦福商学院客座讲师，「科技早知道」主播 ｜推特：@H0wieXu｜ 微信公众号：硅谷云｜ AI英文博客：howiexu.substack.com Reynold Xin 辛湜， Databricks 联合创始人 名词解析 - GenAI：Generative AI， 生成式人工智能（又称AIGC） - Claude：创业公司 Anthropic 开发的对话式 AI 产品，类似 ChatGPT - LM：指 Language Model，也即（大）语言模型 - Jensen Huang：黄仁勋，英伟达 CEO - MoE：Mixture of Experts 混合专家系统，MoE 将预测建模任务分解为若干子任务，在每个子任务上训练一个专家模型，根据要预测的输入来学习信任哪个专家，并组合预测结果 - MosaicML：人工智能创业公司，最近被 Databricks 以 13 亿美元收购 - LLaMA：Meta 公司在本月早些时候发布的开源版本，第一版不能商用。但在本期节目录制以后，新版本 LLaMA-2 大语言模型正式发布。节目中硅谷徐老师和 Reynold 都提到 LLaMA 2 即将有商用许可的发布 往期节目 - S6E06 硅谷徐老师｜对话Databricks联合创始人Reynold Xin：380 亿美元估值背后的长期主义 (https://guiguzaozhidao.fireside.fm/s6e06) - S7E07| AI大神贾扬清离职阿里后首次受访:创业为什么不做大模型｜硅谷徐老师 (https://guiguzaozhidao.fireside.fm/20220158) - 通用人工智能离我们多远，大模型专家访谈 ｜S7E11 硅谷徐老师 x OnBoard！ (https://guiguzaozhidao.fireside.fm/20220162) - S7特快 | GPT4来啦，欢迎加速进入通用人工智能时代！| 硅谷徐老师 (https://guiguzaozhidao.fireside.fm/20220155) - S7E20｜ xAI vs OpenAI 背后，揭开马斯克和 Altman 竞逐硅谷「顶流」的隐秘战争 (https://guiguzaozhidao.fireside.fm/20220173) - S7E18｜硬核对谈华为云田奇院士，从盘古大模型看 AI 在硬工业领域的未来｜AI学者系列 (https://guiguzaozhidao.fireside.fm/20220171) 欢迎加入声动胡同会员计划 (https://sourl.cn/iCVg6n) 成为声动活泼会员，支持我们独立而无畏地持续创作，并让更多人听到这些声音。 加入方式 支付 ¥365/年 (https://sourl.cn/ZPb9Dm) 成为声动胡同常住民。加入后，你将会在「声动胡同」里体验到专属内容、参与社群活动，和听友们一起「声动活泼」。 在此之前，也欢迎你成为声动胡同闲逛者 (https://sourl.cn/ZPb9Dm) ，免费体验会员内容、感受社群氛围。 了解更多会员计划详情，我们在声动胡同等你。 (https://sourl.cn/4xPkEf) 幕后制作 监制：杜晨、刘灿、闻晓（实习） 后期：迪卡普里鑫、六工（实习） 运营：瑞涵、Babs 设计：饭团 关于节目 原「硅谷早知道」，全新改版后为「What's Next｜科技早知道」。放眼全球，聚焦科技发展，关注商业格局变化。 商务合作 声动活泼商务合作咨询 (https://sourl.cn/6vdmQT) 关于声动活泼 用声音碰撞世界。声动活泼致力于为人们提供源源不断的思考养料。 我们还有这些播客：声东击西 (https://etw.fm/episodes)、What's Next｜科技早知道 (https://guiguzaozhidao.fireside.fm/episodes)、声动早咖啡 (https://sheng-espresso.fireside.fm/)、商业WHY酱 (https://msbussinesswhy.fireside.fm/)、跳进兔子洞 (https://therabbithole.fireside.fm/)、反潮流俱乐部 (https://fanchaoliuclub.fireside.fm/)、泡腾 VC (https://popvc.fireside.fm/)、吃喝玩乐了不起 (https://urbanfloat.fireside.fm/) 如果你想获取热门节目文字稿，请添加微信公众号 声动活泼 如果想与我们交流，欢迎到即刻 (https://okjk.co/Qd43ia)找到我们 也期待你给我们写邮件交流，邮箱地址是：ting@sheng.fm 如果你喜欢我们的节目，欢迎 打赏 (https://etw.fm/donation) 支持，或把我们的节目推荐给朋友 Special Guest: Reynold Xin.

It's YOUR time to #EdUp In this episode, YOUR guest is Dr. Reynold Verret, President of Xavier University of Louisiana YOUR guest cohost is Dr. Mordecai Ian Brownlee, President of Community College of Aurora YOUR host is Dr. Joe Sallustio & YOUR sponsor is Commencement: The Beginning of a New Era In Higher Education!⁠ What is Reynold doing to sustain his presidency & Xavier's future?  What does Reynold think about AI in higher education? What does Reynold see as the future of Higher Education? Listen in to #EdUp! Thank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp! Connect with YOUR EdUp Team - Elvin Freytes & Dr. Joe Sallustio ● Join YOUR EdUp community at The EdUp Experience! We make education YOUR business! --- Send in a voice message: https://podcasters.spotify.com/pod/show/edup/message

Ryan Restivo joins host Nikita Roy to discuss the product life cycle of building a generative AI product. As a Reynold's Journalism Institute (RJI) fellow at the Missouri School of Journalism, Ryan developed YESEO. This free SEO slack tool uses Natural Language Processing and Generative AI to help newsrooms with SEO best practices. Since its launch in March, over 160 newsrooms have adopted the tool. Besides his work on YESEO, Ryan holds the Director of Product position at Newsday. He has more than a decade of industry experience in digital media.In this episode, we hear about Ryan's journey building the YESEO app and  explore the unique challenges and opportunities of building generative AI toolsThoughts or questions? You can reach us here. Hosted on Acast. See acast.com/privacy for more information.

Christian Coleman took down Noah Lyles at 100m in Bermuda and Paul Chelimo impressed at the night of the 10,000s even if he missed the World Championship standard. The action really heats up this weekend in Rabat with Fred Kerley vs Marcell Jacobs and Yared Nuguse vs Jakob Ingebrigtsen. Meanwhile stateside, Sha'Carri Richardson will be in LA as Cole Hocker and Cooper Teare will take on Reynold and Tim Cheruiyot at 1500. Full show notes below. Want to try a running video game?! XC Cross Country Racing is here. Try today. Apple iPhone here Android here Drink LMNT - Electrolytes without the Junk - Grapefruit Salt is here for the summer. Money Back Guarantee Try today. https://letsrun.com/drink Want a Rabat Preview and Recap podcast? Join our Supporters Club today and get all the LetsRun.com content, a second podcast every week, savings on running shoes, and a lot more. Cancel at anytime. https://www.letsrun.com/subscribe Show notes: 00:00 Xc Cross Country Racing Apple iPhone here Android here :42 Drink LMNT 04:27 Paul Chelimo is baaack 27:12 (and so is Jon from "suspension") 11:11 Who does 10,000/5000 double at USAs? 15:12 Women's Results Mizan Alem Adane 29:59, Weini Kelati 2nd 20:21 No more time qualifiers in rounds at Worlds in events 1500+ 31:24 Christian Coleman takes down Noah Lyles 9.78 to 9.80 in Bermuda 37:24 Marcell Jacobs vs Fred Kerley @ 100m Sunday in Rabat 45:56 Jakob Ingebrigtsen vs Yared Nuguse @ 1500m in Rabat 52:40 Intern Alex 54:02 Nuguse vs Jakob Prediction 59:17 1500m in LA - Cole Hocker vs Cooper Teare vs Reynold and Timothy Cheruiyot 01:07:39 Sha'Carri in 100m in LA 01:11:23 Sydney skipping LA but running Paris 10 days later End Drink LMNT, Join our Supporters Club for a Rabat recap podcast Contact us: Email podcast@letsrun.com or call/text 1-844-LETSRUN podcast voicemail/text line. Find out more at http://podcast.letsrun.com Send us your feedback online: https://pinecast.com/feedback/letsrun/07ae202d-93a0-4476-806a-6fdb742628e9 This podcast is powered by Pinecast.

Craig and Chris talk about the Reynold's Extension Situation-even though they don't want to-and give their takeaways from the first few games of the season; as well as what to look for moving forward.  Brought to you by ShopYinzz.com! Craig Toth covers the Pirates for Inside The Bucs Basement, and joins his buddy Chris at a 9-foot homemade oak bar to talk Pittsburgh Pirates Baseball. Listen. Subscribe. Share. We are "For Fans, By Fans & All Pirates Talk." THE Pirates Fan Podcast found EVERYWHERE podcasts can be found and always at BucsInTheBasement.com!  

Have you ever returned to a beloved children' book as an adult and found the content unnerving? Charity introduces the topic of cynicism as a perspective that shapes what we are able to see, a stance that conditions our vision, a judgement that conditions our choices. Charity introduces an excellent essay by Anna Kaladish Reynolds regarding cynicism, a critical reading of Mirette on the High Wire by Emily Arnold McCully. Reynold's essay proposes that the innocence available in picture books like Mirette On the High Wire may help us to learn a wisdom that is greater than any that cynicism can offer to us.Read Innocence: A Perspective of Intelligent Reading on the Bright Wings' blog.Follow Bright Wings: Children's Books on Instagram :)

Another rough day for the market, as the banking crisis drove down both the S&P 500 and the Dow Jones Industrial Average. However, the NASDAQ posted a very modest 0.05% gain, and Jim Cramer is diving into the market's reaction. First, Jim sits down with Adobe CEO Shantanu Narayen to discuss the company's strong growth in 2023. Then, Jim breaks down what's driving the strong revenue growth that chemical and engineering firm ChampionX posted at their Investor Day last Tuesday. Plus, an exclusive interview with T-Mobile CEO Michael Sievert and Ryan Reynolds about the telecom's acquisition of Reynold's company, Mint Mobile. Mad Money Disclaimer