Podcasts about Matei

Um dos melhores metroidvanias da história é o tema do episódio de hoje do Matei o Chefe! Shin Koheo, Vivard, Mario e Quinho batem um papo sobre este jogaço que fez até haters elogiarem a Nintendo!Letra da versãoEu fui... Eu fui... Eu fui... Eu fui... Eu fui... Eu fui...Pra outra área a de láEu fui... Eu fui... Eu fui... Eu fui... Eu fui... Eu fui...E voltei pra ArtariaÉ um joguinho que me fez felizE side scrolling como eu sempre quisPeguei para jogar e as áreas visitarFerenia, Gaviran que nunca ouvi nem falarOuvi muitas histórias, "ninguém zera isso aqui"O jogo te humilha, é difícil pa caraySe tivesse um Bob Marley ia ser bem mais legalIa ficar mais lento e facilitar pra geral, entãoEu fui... Eu fui... Eu fui... Eu fui... Eu fui... Eu fui...Pra outra área a de láEu fui... Eu fui... Eu fui... Eu fui... Eu fui... Eu fui...E voltei pra Artaria

David Matei war 15 Jahre lang bei der Bundeswehr, war Jugendoffizier und ist unter dem Namen "Sicherheitspolitik" auf Social Media bekannt. Und er hat mit seinem Buch "Deutschland ist es wert" eine Debatte über Wehrpflicht und Patriotismus ausgelöst. Im Gespräch mit Rixa Fürsen schildert er, wie eine Talkshow-Konfrontation zu seinem Bestseller wurde – und erzählt vom Schicksal eines ukrainischen Freundes, der nach Kriegsgefangenschaft schwer gezeichnet zurückkehrte. Es geht um Heimat, Freiheit als Privileg und die Spaltung zwischen den Generationen in der Wehrdienst-Debatte. Das Berlin Playbook als Podcast gibt es jeden Morgen ab 5 Uhr. Gordon Repinski und das POLITICO-Team liefern Politik zum Hören – kompakt, international, hintergründig. Für alle Hauptstadt-Profis: Der Berlin Playbook-Newsletter bietet jeden Morgen die wichtigsten Themen und Einordnungen. ⁠Jetzt kostenlos abonnieren.⁠ Mehr von Rixa Fürsen gibt es auch hier: Instagram: ⁠@rixafu⁠ | X: ⁠@rixa_fursen⁠. POLITICO Deutschland – ein Angebot der Axel Springer Deutschland GmbH Axel-Springer-Straße 65, 10888 Berlin Tel: +49 (30) 2591 0 ⁠information@axelspringer.de⁠ Sitz: Amtsgericht Berlin-Charlottenburg, HRB 196159 B USt-IdNr: DE 214 852 390 Geschäftsführer: Carolin Hulshoff Pol, Mathias Sanchez Luna Learn more about your ad choices. Visit megaphone.fm/adchoices

RĂSPUNSUL LUI DUMNEZEU LA ANXIETATE (2) „Veniţi la Mine, toţi cei trudiți și împovăraţi, şi Eu vă voi da odihnă!” (Matei 11:28)

AI FOST RĂNIT ÎN BISERICĂ? (1) „Eu... voi zidi Biserica Mea, și porțile Locuinței morților nu o vor birui.” (Matei 16:18)

O jogo mais polêmicos das últimas semanas é o tema do episódio de hoje no Matei o Chefe! Jogamos o Mixtape para discutir se ele é essa Coca-Cola toda ou se é só emoção, e pra isso temos Shin Koheo, Vivard, Mario e Pedro!Letra da versãoMais um gameQue chega de repenteCom um puta visualE que mexe com a genteYeah, yeahÉ o Mixtape, é esseYeah, yeahÉ o MixtapeTem quem viajouNas vibes quando jogouMas tem quem não gostouNostalgia não funcionouPra uns marcante, proutros só mais umSó mais umAmizade e somNo Mixtape, no MixtapeAmizade e somNo Mixtape, no Mixtape

Wie entsteht eigentlich der Wille, ein Land zu verteidigen? Im Gespräch spricht David Matei über Freiheit, Demokratie, den Zustand unserer Gesellschaft und die Frage, warum Deutschland oft besser darin ist, seine Schwächen zu sehen als das, was dieses Land ausmacht. Ein Gespräch über Verantwortung, Zusammenhalt und den Wert einer Demokratie, die nie selbstverständlich ist.

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

O 'Doa a Quem Doer', transmitido na CMTV a 19 de junho, mostrou todos os passos que a menina de oito anos fez até ser assassinada pela madrasta. O podcast desta semana transmitiu, também, as frases que a criminosa pronunciou durante a confissão que fez em tribunal. 

In this episode, Adam Torres interviews Matei Zatreanu, CEO & Founder of System2. Matei shares how System2 helps hedge funds integrate data and AI into investment decisions while exploring the opportunities and risks of emerging technologies, including robotics, automation, and the future role of humans in an AI-driven economy.  About Matei Zatreanu Matei is the founder of System2. He previously started the data initiative of a $20bn hedge fund. Matei started his career in investment banking at Lehman Brothers. Matei holds an M.A. in Mathematics from Columbia University and B.A.s in Psychology, Mathematics, Government, and Economics from Cornell University. About System2 System2 is a data and AI-driven research firm that helps fundamental investors make better investment decisions by combining human expertise with advanced analytics. Founded by Matei Zatreanu, the company partners with hedge funds, asset managers, and institutional investors to uncover insights that traditional research methods may miss. Inspired by Daniel Kahneman's concept of "System 2" thinking—the deliberate, analytical process behind rational decision-making—System2 empowers investment teams to validate hypotheses, explore complex questions, and leverage alternative data and artificial intelligence to gain a deeper understanding of companies, industries, and market trends. For more than a decade, System2 has been helping some of the world's leading investors navigate increasingly complex markets through a blend of technology, data science, and human judgment.  Watch Full Episode on ⁠Youtube⁠. --- Follow Adam on Instagram at ⁠https://www.instagram.com/askadamtorres/⁠ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: ⁠https://missionmatters.lpages.co/podcastguest/⁠ Visit our website: ⁠https://missionmatters.com/⁠ More FREE content from Mission Matters here: ⁠https://linktr.ee/missionmattersmedia Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, Adam Torres interviews Matei Zatreanu, CEO & Founder of System2. Matei shares how System2 helps hedge funds integrate data and AI into investment decisions while exploring the opportunities and risks of emerging technologies, including robotics, automation, and the future role of humans in an AI-driven economy.  About Matei Zatreanu Matei is the founder of System2. He previously started the data initiative of a $20bn hedge fund. Matei started his career in investment banking at Lehman Brothers. Matei holds an M.A. in Mathematics from Columbia University and B.A.s in Psychology, Mathematics, Government, and Economics from Cornell University. About System2 System2 is a data and AI-driven research firm that helps fundamental investors make better investment decisions by combining human expertise with advanced analytics. Founded by Matei Zatreanu, the company partners with hedge funds, asset managers, and institutional investors to uncover insights that traditional research methods may miss. Inspired by Daniel Kahneman's concept of "System 2" thinking—the deliberate, analytical process behind rational decision-making—System2 empowers investment teams to validate hypotheses, explore complex questions, and leverage alternative data and artificial intelligence to gain a deeper understanding of companies, industries, and market trends. For more than a decade, System2 has been helping some of the world's leading investors navigate increasingly complex markets through a blend of technology, data science, and human judgment.  Watch Full Episode on ⁠Youtube⁠. --- Follow Adam on Instagram at ⁠https://www.instagram.com/askadamtorres/⁠ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: ⁠https://missionmatters.lpages.co/podcastguest/⁠ Visit our website: ⁠https://missionmatters.com/⁠ More FREE content from Mission Matters here: ⁠https://linktr.ee/missionmattersmedia Learn more about your ad choices. Visit podcastchoices.com/adchoices

Immer wieder beschäftigt sich Florescu in seinen Romanen mit der wechselvollen Geschichte Rumäniens. Der Ich-Erzähler Matei ist geprägt von der seelischen Verwüstung, die das kommunistische Regime bei ihm hinterlassen hat. Das Blatt wendet sich, als er zufällig seinem ehemaligen Peiniger wieder begegnet.

Immer wieder beschäftigt sich Florescu in seinen Romanen mit der wechselvollen Geschichte Rumäniens. Der Ich-Erzähler Matei ist geprägt von der seelischen Verwüstung, die das kommunistische Regime bei ihm hinterlassen hat. Das Blatt wendet sich, als er zufällig seinem ehemaligen Peiniger wieder begegnet.

Leaders Special. Cătălin Striblea a fost live cu omul de afaceri Matei Păun, fost colaborator al lui Nicușor Dan. Ce crede despre această criză politică. Cum gândește Nicușor Dan? De ce vrea un guvern tehnocrat. Și cum vede actuala criză economică. De ce nu s-a înțeles președintele cu Ilie Bolojan?

Toți cei trei medaliați din proba de 200 m mixt de la Naționalele de natație trec în aceste zile printr-o probă a maturității. Robert Badea, Matei State și Darius Coman, ocupanții podiumului la Campionatele Naționale, dau în aceste zile Bacalaureatul Olimpicilor, bacalaureatul tinerilor care fac sport de performanță Elevii care fac parte din loturile olimpice, dar și sportivii de performanță care participă la competiții internaționale susțin în această perioadă sesiunea specială a Bacalaureatului 2026. Pentru acești tineri, 127 la număr, examenul maturității a început mai devreme cu o lună, în data de 12 mai, și se va încheia pe 28 mai, odată cu afișarea rezultatelor finale. Bacalaureatul olimpicilor a fost organizat prima dată în anul 2008 și în acest an se desfășoară la Ploiești. Printre cei care dau bacul olimpic se află și Robert Badea, Matei State și Darius Coman, ocupanții podiumului la ultimele Campionate Naționale de natație. Cei 3 înotători sunt printre cei mai buni din România. Ei au lăsat ochelarii de înot pentru pixuri și manuale și s-au dus direct în sala de examen. Prima probă scrisă a fost ieri, 20 mai, iar „greii” bazinului recunosc că materia e mai grea decât apa. Este și părerea lui Mihai State, născut în comuna Mălini, județul Suceava și unul dintre cele mai promițătoare talente ale secției de înot ale clubului Dinamo. „Bac-ul mi se pare un pic mai dificil decât competițiile. Pentru că materia este foarte multă. Presiunea poate e un pic mai mare, pentru că e o singură dată Bac-ul. Competiții, dacă ratăm o probă acum, mai avem alte probe” - Matei State, înotător. Matei a plecat de acasă de la vârsta de 10 ani, s-a mutat la București pentru a face înot de performanță și la 13 ani era deja campion național, demonstrând că performanța nu ține de vârstă, ci de ambiție, muncă și pasiune. Înotul s-a transformat rapid într-o pasiune arzătoare, care i-a dictat ritmul vieții de zi cu zi. Acum este în fața probei maturității și face o comparație între stilurile de înot și disciplinele de examen. Pentru Matei, matematica e „brasul” succesului, iar româna... o cursă de viteză la craul. Pentru acești campioni, timpul nu stă pe loc Pentru colegul lui Matei, Darius Coman, născut la Câmpina, legitimat la Corona Brașov și cel care deține recordul României la 200 m bras, a găsit metoda perfectă pentru a învăța pentru Bac : a transformat vestiarul și pauzele dintre curse în sală de lectură. „Mi-am luat la mine cărțile de română, istorie, de logică. Într-o portiță mai liberă mai citesc un comentariu. Că nu durează mult, în 10 minute îl citesc. Și îmi recapitulez materia. La istorie este foarte multă materie. Dar acolo îmi place, e ca o poveste” – Darius Coman, înotător. Darius Coman spune că nu va avea emoții la bacalaureat, oricum mai puține ca la o competiție. „Care seamănă cu brasul? Logica. Da, e vorba de tehnică. Mă gândesc la foarte multe aspecte. Aveam emoții, mă simțeam ca și când urmează examenul vieții mele. Ca și cum depinde viața mea de acest examen. Până când mi-am dat seama că nu e chiar așa” – Darius Coman, înotător. Iar dacă proba de mixt are patru procedee, și Bac-ul are materiile lui. Sportivii au făcut deja paralele între materii. „Matematica aș asemui-o cu brasul, pentru că sunt cel mai bine pregătit, informatica cu spatele, pentru că e al doilea cel mai bun procedeu al meu și româna cu craul. Nu e chiar cea mai rea, dar e OK” - Matei State, înotător După Bac, imediat la antrenament În fine, Robert Badea un talent înnăscut în natație, legitimat la Steaua, specialist în proba de fluture și considerat de americanii de la World aquatics urmașul lui David Popovici, se prezintă și el în aceste zile la examene. Robert face și el comparația între stilurile de înot și materiile pentru Bac: „Brasul - română, nici nu se pune problema, geografia - spatele, pentru că e mai natural, și craulul - istoria. Până acum n-am fost stresat, dar știu că mai e atât de puțin încât începe puțin stresul, dar mă descurc” – Robert Badea, înotător. Dacă unii visează la vacanță după examen, pentru Robert Badea sărbătoarea înseamnă tot antrenament. Iar viitorul sună bine tot în înotul românesc.  „Cum vei sărbători după ce vei lua Bac-ul? - Cu antrenament, nici nu se pune problema. Și în ziua cu Bac-ul sunt în apă” – Robert Badea, înotător.

Matei 28 18. Isus S-a apropiat de ei, a vorbit cu ei şi le-a zis: „Toată puterea Mi-a fost dată în cer şi pe pământ.19. Duceţi-vă şi faceţi ucenici din toate neamurile, botezându-i în Numele Tatălui şi al Fiului şi al Sfântului Duh.20. Şi învăţaţi-i să păzească tot ce v-am poruncit. Şi iată că Eu […]

Most teams are still asking where to use AI. The better question is where not to.In this episode, Adrian Matei, Product Manager from Jaja Finance, breaks down what actually happens when generative AI meets real users and real constraints. The result is far less hype, far more discipline, and a clear view of what it takes to ship AI that works.We talk about Jaja's chatbot, Airi, which is a RAG-based agentic system with six agents in production, serving customers who often face sensitive financial situations, such as debt.Adrian explains the design philosophy behind Airi's tone, which was developed in collaboration with Jaja's commercial and communications teams to ensure it matches the brand across every customer touchpoint.A significant part of the conversation focuses on the practical realities of building production-grade generative AI systems. Adrian shares his thinking on when to use generative AI and when deterministic, rule-based approaches are simply the better choice.We also touch on broader themes, including the future of AI at the edge and the emerging role of personal AI assistants. Show notesDiscover more about the CCW UK Summit: https://europe.customercontactweekdigital.com/events-ccw-uk/agenda-mc/?utm_source=VUX%20World&utm_medium=Media%20Partner&utm_campaign=47758.003_VUX_Social_Post_Agenda&utm_term=&utm_content=&disc=&extTreatId=7634824Follow Adrian on LinkedIn: https://www.linkedin.com/in/adriangmateiFollow Kane on LinkedIn: https://www.linkedin.com/in/kanesimmsTake our updated AI Maturity Assessment: https://vuxworld.typeform.com/to/a26bf9Rr?utm_source=podcast&utm_medium=audioSubscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeWSubscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms Hosted on Acast. See acast.com/privacy for more information.

Matei Lucescu, nepotul regretatului Mircea Lucescu, a vizitat Muzeul Fotbalului unde a avut ocazia să descopere colecția impresionantă de tricouri ale fostului selecționer. Mâine intrarea este gratuită la acest muzeu. Tudor Furdui a stat de vorbă cu Matei Lucescu.

Martin, Marko www.deutschlandfunkkultur.de, Studio 9

Martin, Marko www.deutschlandfunkkultur.de, Studio 9

Martin, Marko www.deutschlandfunkkultur.de, Studio 9

(00:47) «Dance Around the Self»: Ein Film über Siri Hustvedt, ihr Werk, und die Frauen, die sie in ihren Büchern porträtiert hat. Weitere Themen: (05:30) «Matei entdeckt die Freiheit» von Catalin Dorian Florescu – Ein Roman über einen ehemaligen politischen Gefangenen in Rumänien. (10:21) Sternstunde Kunst zeigt Dokumentarfilm über den «Pekinger Frühling» – Reformbewegung in der frühen Deng-Xiaoping-Ära. (16:40) Fenster in die Westschweiz: Wie kann Poesie auf Dramatisches reagieren?

About MusataMusata Matei is Head of Partnerships and Growth at IGNITE in DIFC, and the author of The Mother Shift, a candid exploration of working motherhood and the leadership reset it demands. An expat for most of her life, Musata began her career in London's high-pressure financial world, including a role at Goldman Sachs, before relocating to Dubai in search of a more sustainable, family-friendly way to live and work.After experiencing maternity discrimination firsthand, Musata began journaling as a form of self-therapy, which eventually evolved into a book that blends her story with the lived experiences of other mothers and founders. Today, she speaks openly about the motherhood penalty, bias, mental load, and the myth of “having it all,” while advocating for a more human, inclusive leadership model rooted in emotional intelligence, empathy, and authenticity.About This EpisodeIn this episode of the Matrix Green Pill Podcast, Hilmarie Hutchison sits down with Musata Matei (Head of Partnerships & Growth, IGNITE DIFC) to unpack what motherhood really shifts: identity, ambition, leadership style, and the definition of success. Musata shares how being fired while pregnant became a turning point, how Dubai offered a different path forward, and why leadership frameworks built for a previous era no longer serve the world we're living in now.The conversation dives into the realities many working mothers quietly carry: bias at work, mom guilt, the invisible mental load, and the burnout that comes from chasing the “supermom” standard. Musata offers practical insights for mothers in high-pressure roles, and also challenges companies to rethink performance, flexibility, and what inclusive leadership truly looks like. It's a grounded, hopeful conversation that reminds us: motherhood doesn't reduce ambition, it sharpens it and the future of leadership will reward the very skills many women were once told to hide.Quotes5:20 - I think the way we think about leadership, work, and parenthood has to evolve, both for women and men. And that's really what the Maver Shift is about. It's about raising awareness and encouraging today and tomorrow's leaders to embrace change.6:10 - These are becoming the leadership skills that will matter most. They're no longer optional extras. And I truly believe that mothers, working mums, are the ones who embody all of these skills.8:35 - Another huge experience that we have in common is the strength and perseverance that mothers have. We just don't give up. We keep showing up. Success for many of us is not about a final destination. It's about resilience, consistency, and continuing despite the odds.12:42 - I believe more in, let's say, sustainability, to put ourselves first without guilt. I know that's easier said than done, but I truly believe now that if we cannot function, everything else eventually falls apart.13:22 - The biggest advice that I would give to mothers who are really struggling to find that balance is not necessarily to chase that balance, but to put their needs first.14:12 - I do believe that if you know you want to succeed as a mom and as a professional, you have to redefine ambition and success on your own terms rather than according to what society has told us or according to the expectations of others or even our families. We have to be the ones who define what is good for us and what works for us at every single stage of our life, and certainly every stage of our motherhood.15:02 - For me, self-care is not just about spa days or bubble baths. It's about maintenance. And it includes both mental and physical healtThe Matrix Green Pill Podcast: https://thematrixgreenpill.com/Please review us: https://g.page/r/CS8IW35GvlraEAI/review

DEPUNE EFORT SUPLIMENTAR! „Dacă te sileşte cineva să mergi cu el o milă de loc, mergi cu el două.” (Matei 5:41)

Matei 11 28. Veniţi la Mine, toţi cei trudiţi şi împovăraţi, şi Eu vă voi da odihnă.29. Luaţi jugul Meu asupra voastră şi învăţaţi de la Mine, căci Eu sunt blând şi smerit cu inima; şi veţi găsi odihnă pentru sufletele voastre.30. Căci jugul Meu este bun, şi sarcina Mea este uşoară.”

CUM SĂ REZOLVI CONFLICTUL RAPID (1) „Dacă fratele tău a păcătuit împotriva ta, du-te şi mustră-l între tine şi el singur. Dacă te ascultă, ai câştigat pe fratele tău.” (Matei 18:15)

Matei 8 23. Isus S-a suit într-o corabie, şi ucenicii Lui au mers după El.24. Şi deodată s-a stârnit pe mare o furtună atât de straşnică, încât corabia era acoperită de valuri. Şi El dormea.25. Ucenicii s-au apropiat de El şi L-au deşteptat, strigând: „Doamne, scapă-ne, că pierim!”26. El le-a zis: „De ce vă este […]

Recorded at CEDIA Expo/CIX 2025, Andrei Matei, co-founder of Robbox Tools, joins Josh Cooperman on Inside Buzz to talk about reinventing the modern toolbox through smart features and a long-term vision for a more efficient tool ecosystem for integrators. Plus, how hands-on demos and real-world use cases change how integrators feel about adopting new tools.

Matei Zatreanu is the CEO and founder of System2, a data science firm that helps institutional investors make better decision. His family immigrated from Romania, but for the first few years, his parents had to leave him and his brother temporarily behind as they settled themselves in their new country.In our conversation, we explored how early hardship, like growing up separated by your parents, builds a “figure it out” mentality, why storytelling is one of the most underrated leadership skills, and how something as simple as sharing a meal can become the foundation of culture and trust inside an organization.We went deep into the meaning of profit, the tradeoffs entrepreneurs face when considering outside capital, and the importance of understanding your own motivations before chasing growth, money, or status.Contact Dino at: dino@al4ep.comWebsites:sstm2.comal4ep.comAdditional Guest Links:Podcast: on SpotifyOn YouTube: youtube.com/@system2podLinkedIn: linkedin.com/in/matei-zatreanu/Authentic Leadership For Everyday People / Dino CattaneoDino on LinkedIn: linkedin.com/in/dinocattaneoPodcast Instagram – @al4edp Podcast Twitter – @al4edpPodcast Facebook: facebook.com/al4edpMusicSusan Cattaneo: susancattaneo.bandcamp.com

„MULT MAI MULT” SAU „MULT MAI PUȚIN”? (2) „Cu cât mai mult Tatăl vostru, care este în ceruri, va da lucruri bune celor ce I le cer?!” (Matei 7:11)

In this interview, Andreea Matei shares her journey to earning over $180,000 from the Amazon Influencer Program. With 3,500 videos under her belt, she dives into the exact strategies that have helped her scale her income to $5,000-$6,000 per month. Andreea walks through her process for selecting the right products, filming efficiently, and juggling various earning opportunities. Tune in to learn how she built a successful system for creating content, landing brand deals, and maximizing earnings through Amazon. Sponsor: 201 Creative Get your FREE GEO Snapshot today! - https://201creative.com/geo-snapshot/?utm_source=niche_pursuits_podcast&utm_medium=audio&utm_campaign=geo_snapshot_launch&utm_content=show_notes   Links & Resources Connect with Andreea: https://kindlyconnected.com/ Learn more about Viral Vue: https://www.youtube.com/watch?v=iQtonnWxqvw Check our interview with Oink's founder: https://www.youtube.com/watch?v=xLNKDo-cm1o   Be sure to get more content like this in the Niche Pursuits Newsletter Right Here: https://www.nichepursuits.com/newsletter Want a Faster and Easier Way to Build Internal Links?  Get $15 off Link Whisper with Discount Code "Podcast" on the Checkout Screen: https://www.nichepursuits.com/linkwhisper Get SEO Consulting from the Niche Pursuits Podcast Host, Jared Bauman: https://www.nichepursuits.com/201creative

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) REVOLUT - @ramonalazar1 ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) REVOLUT - @ramonalazar1 ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) REVOLUT - @ramonalazar1 ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) REVOLUT - @ramonalazar1 ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) REVOLUT - @ramonalazar1 ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) REVOLUT - @ramonalazar1 ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) REVOLUT - @ramonalazar1 ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: REVOLUT - @ramonalazar1 RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: REVOLUT - @ramonalazar1 RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: REVOLUT - @ramonalazar1 RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: REVOLUT - @ramonalazar1 RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: REVOLUT - @ramonalazar1 RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: REVOLUT - @ramonalazar1 RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest proiect de narare a Scripturii este inițiat de Ramona Lazar, gazda podcastului #VULNERABIL, și constă în citirea integrală a Evangheliilor, fără comentarii sau explicații, doar textul biblic așa cum este, într-un ritm zilnic, de luni până vineri.Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: REVOLUT - @ramonalazar1 RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Acest episod marchează începutul unui nou proiect în cadrul podcastului #VULNERABIL - citirea integrală a Evangheliilor, fără comentarii sau explicații, doar Scriptura citită așa cum este. Din dorința de a face loc Cuvântului lui Dumnezeu în jurul căruia gravitează întreaga noastră viață și modul în care ne prezentăm în societate, voi citi zilnic, de luni până vineri, câte două capitole, începând cu Evanghelia după Matei, urmând apoi Marcu, Luca și Ioan. Acest proiect nu este despre performanță, despre cât de frumos citesc, ci despre ascultare, disponibilitate, dar mai ales despre împlinirea poruncii - „Duceți-vă în toată lumea și propovăduiți Evanghelia la orice făptură.” Vă mulțumesc că sunteți aici. Dacă vreți să susțineți acest proiect, vă rog să vă rugați pentru fiecare om care va asculta, ca sămânța să cadă într-un pământ bun și să aducă rod. Rugați-vă și pentru mine, ca să am putere, energie și determinare să duc la bun sfârșit ceea ce am început.De asemenea, dacă simțiți, dați mai departe. Un share, un like sau un comentariu nu costă nimic, dar pot face diferența în locul în care cineva își va petrece veșnicia.________________Mai poți susține VULNERABIL ☕️ printr-o donație aici: REVOLUT - @ramonalazar1 RO37BTRL00601201B14434XX (RON) RO12BTRLEURCRT00B1443401 (EUR) ⁠⁠https://buymeacoffee.com/vulnerabil⁠⁠

Matei 2.1-12 1. După ce S-a născut Isus în Betleemul din Iudeea, în zilele împăratului Irod, iată că au venit nişte magi din răsărit la Ierusalim2. şi au întrebat: „Unde este Împăratul de curând născut al iudeilor? Fiindcă I-am văzut steaua în răsărit şi am venit să ne închinăm Lui.”3. Când a auzit împăratul Irod […]

Recorded at CEDIA Expo/CIX 2025, Andrei Matei, co-founder of Robbox Tools, joins Josh Cooperman on Inside Buzz to talk about reinventing the modern toolbox through smart features and a long-term vision for a more efficient tool ecosystem for integrators. Plus, how hands-on demos and real-world use cases change how integrators feel about adopting new tools.Stay in the loop! Sign up now to get notified when registration for CEDIA Expo/CIX 2026 opens or contact us to explore exhibiting opportunities at CEDIA Expo.

Matei 1.18-23 18. Iar naşterea lui Isus Hristos a fost aşa: Maria, mama Lui, era logodită cu Iosif; şi, înainte ca să locuiască ei împreună, ea s-a aflat însărcinată de la Duhul Sfânt.19. Iosif, bărbatul ei, era un om neprihănit şi nu voia s-o facă de ruşine înaintea lumii; de aceea şi-a pus de gând […]

Matei 13.1-91. În aceeaşi zi, Isus a ieşit din casă şi şedea lângă mare.2. O mulţime de noroade s-au strâns la El, aşa că a trebuit să Se suie să şadă într-o corabie; iar tot norodul stătea pe ţărm.3. El le-a vorbit despre multe lucruri în pilde şi le-a zis: „Iată, semănătorul a ieşit să […]