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Hello, Voices of the Bench community. This is Casey Baldwin with Ivoclar. If you've been curious about fast-firing zirconia to improve efficiency but aren't convinced it can deliver predictable, high-quality results, I'd encourage you to connect with us. Our new IPS emax Zirconia, offers multiple fast-fire protocols designed to help you save valuable production time while maintaining consistent outcomes. Time is money in every lab. Don't wait. Reach out today and discover how IPS emax Zirconia can help streamline your workflow. As full-arch dentistry continues to grow, so do the demands on today's dental laboratories. That's why Knight Dental recently launched SimplyARCH Studio, a dedicated production environment built exclusively for full-arch restorations. To support this specialized workflow, Knight invested in an XTCERA milling system and carefully evaluated multiple CAM software solutions before choosing hyperDENT. The decision came down to exceptional milling quality, minimal hand finishing, and impressive production efficiency. But what truly set hyperDENT apart was the implementation process. From the very beginning, the team provided more than software training—they shared the knowledge and experience needed to build an optimized workflow for complex full-arch cases. With proven expertise in advanced milling strategies and laboratory production, hyperDENT helped ensure SimplyARCH Studio was designed for long-term success from day one. This week, Elvis and Barb are coming to you from the FDLA Symposium at the GPS Digital RPD booth with two conversations that prove one thing: dental technology never stops evolving. First up, Chris Bradley from SmileLine USA returns to the podcast alongside technician, educator, and lab owner Richard Wodzinski, with Dawn Roniger from GC America joining the discussion. What starts as a conversation about "sexy brushes" quickly turns into a deep dive into one of the most intriguing shade-matching workflows you'll hear about. Richard explains how the OptiShade camera and Matisse software work together to create incredibly accurate shade recipes for everything from monolithic zirconia to layered ceramics and even gingiva. They also discuss the latest Creation Magic Color system, hands-on education, custom shade appointments, and why reducing remakes isn't just good for labs—it's better for doctors and patients too. Add in some FDLA leadership talk and a shared passion for education, and you've got a conversation packed with practical ideas and plenty of laughs. Then Elvis and Barb sit down with Kaveh Shams, Branch Manager for Zirkonzahn Canada, whose journey into digital dentistry spans London, Italy, and Canada. Kaveh shares how his admiration for Enrico Steger and Zirkonzahn eventually led to his dream job, while also offering a fascinating look into the company's history, philosophy, and commitment to education. From the origins of Exocad and custom CAM strategies to modular milling systems, open architecture, and Zirkonzahn's incredible Military School program that trains the next generation of technicians, this conversation is full of insight into what makes one of dentistry's most respected digital companies tick. It's an inspiring story of passion, persistence, and why great technology always starts with great technicians.Special Guests: Chris Bradley, Dawn Roniger ​​​​, Kaveh Shams, and Rich Wodzinski.

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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

If you've ever felt like the hardest part of business isn't always what to do every day, but it's believing bigger results are actually possible for you... this episode is for you.In today's episode, I'm talking with my Localpreneur Academy student Maddy Memmer, the owner of Color Chroma in Austin, Texas, a color analysis and personal stying business.Maddy is a former teacher who has spent the last few years building a business that has grown beyond what she once believed was available to her. In this conversation, we talk about the internal glass ceilings she had to break through, how her background shaped what she thought was realistic, and what it looked like to keep going even when her brain wanted to doubt the process. We also talk about what mindset work really is, why it matters so much in business and how learning to think more powerfully and intentionally helped her create a fully booked business.In this episode, we talk about: The biggest belief shifts Maddy had to make as a former teacher stepping into entrepreneurship  Why mindset work is about more than “thinking happy thoughts” and how intentional thinking changed how she showed up in her business  How Maddy learned to keep going through doubt, emotional ups and downs, and the internal glass ceilingsMentioned in this episode:Work with me inside The Localpreneur AcademyFollow me on Instagram @‌lesliepresnallDownload my Free Guide: How To Grow Your Local Instagram FollowingFollow Maddy on Instagram at color.chroma.atx Visit Color Chroma's websiteIf you're ready to grow your local business and bring in a steady stream of clients, you need to check out The Localpreneur Academy. Click here to join me inside.Rate, Review & Follow:“I LOVE listening to the episodes, especially since they're focused on local businesses and it's not just generic marketing advice.” If you love the show too, please leave a rating and review. This helps me reach more people just like you who want to reach more local people and create a business they love.FREE TRAINING:The Fully Booked Roadmap: 5 Local Skills to Get Seen, Chosen and Booked in 2026Click here to register for this free training happening on Monday, June 22 at 12PM CT.

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Marco Niro"Romanzo mondiale"Il gioco sporco del potereGarrincha EdizioniZurigo, 2010. Lo Schiavo attende la visita del Re del pallone. Per comprare i mondiali di calcio, deve comprare il suo voto. Sa che è in vendita al miglior offerente. E lui sa essere sempre il miglior offerente. Abuja, 2017. Rashidi sta per lasciare la Nigeria e partire per Petrolia, dove serve manodopera per costruire gli stadi dei mondiali. Da piccolo sognava di giocarci, allo stadio. Adesso si accontenta di lavorarci. Senza immaginare che presto diventerà uno schiavo. Roma, 2021. Rita ed Ernesto, teatranti falliti e imbevuti d'ideali, vogliono sabotare i mondiali a Petrolia, macchiati del sangue di donne e operai, e architettano un piano imperniato sull'incredibile somiglianza tra Ernesto e il più grande calciatore in attività: il Mago. Lisbona, 2022. Sentenza, il calciatore più prolifico di tutti i tempi, non sa accettare il suo declino ed è pronto a vincere la coppa del mondo, l'unico trofeo che ancora manca al suo sterminato palmarés. Ma più ancora spera che a vincerla non sia l'eterno rivale. I destini di tutti si incroceranno al termine del torneo, durante la finale più bella della storia, quando ogni macchinazione cercherà compimento e assolutamente nulla sarà scontato. Perché la palla, si sa, è rotonda.Marco NiroFondatore insieme a Mattia Maistri del collettivo di scrittura Tersite Rossi, Marco Niro (1978) è giornalista e scrittore. Laureato in Scienze della comunicazione, ha collaborato con varie testate giornalistiche e oggi, oltre a scrivere, si occupa di comunicazione ambientale. Ha all'attivo un saggio (“Verità e informazione. Critica del giornalismo contemporaneo”, Dedalo 2005), due libri per ragazzi (“L'avventura di Energino”, Erickson 2022; "Alice nel Paese delle Tavole Imbandite", Erickson 2024) e, col collettivo Tersite Rossi, quattro romanzi (“È già sera, tutto è finito”, Pendragon 2010; “Sinistri”, e/o 2012; “I Signori della Cenere”, Pendragon 2016; “Gleba”, Pendragon 2019) e due raccolte di racconti (“Chroma. Storie degeneri”, Les Flâneurs 2022; “Pornocidio”, Mincione 2023).I suoi romanzi da “solista” sono “Il predatore” (Bottega Errante 2024), "L'uomo che resta" (Les Flâneurs 2025) e “Romanzo mondiale” (Garrincha 2026). Diventa un supporter di questo podcast: https://www.spreaker.com/podcast/il-posto-delle-parole--1487855/support.IL POSTO DELLE PAROLEascoltare fa pensarehttps://ilpostodelleparole.it/

Czy zautomatyzowane agenty AI są gotowe na zarządzanie krytyczną infrastrukturą? W dzisiejszym odcinku Tomek, Wojtek i Sebastian omawiają głośną katastrofę w PocketOS, bezwzględne kulisy procesu Elon Musk vs OpenAI, wielki powrót opłaty reprograficznej w Polsce oraz tajną operację Google, które wgrało model AI na dyski milionów użytkowników.W tym odcinku Brew™️ między innymi:

This week's Yellow Brit Road is live from Cardiff! Fresh from Super Furry Animals' homecoming show on their reunion tour not 24 hours ago, I am joined by friends Jaz and Nathan to review the first Furries comeback in 10 years. We also bring highlights from Focus Wales festival this year. We also bring you a live set and interview recorded a few weeks ago with Irish rockers NewDad from their show at the Danforth Music Hall in Toronto! Music this week by:Gorky's Zygotic Mynci, Bloc Party, Lava La Rue, Lemfreck, My First Time, Jorja Smith, Lime Garden, CHROMA, Panedeni, KyoYoko, Super Furry Animals, NewDad. Also check out Melin Melyn and Getdown Services! Find this week's playlist here. Try and support artists independently through buying their music, merch, going to shows! Bandcamps/websites linked above.Cover shot: Super Furry Animals, Utilita Arena, Cardiff, 16 May 2026.Note: This week, I am giving away tickets to see Rostam Batmanglij live in Toronto next month! Listen on to find out how to win.Touch that dial and tune in live! CFRC 101.9 FM in Kingston or cfrc.ca⁠, Sundays 8-9:30 PM! Full shows in the linked archive for 3 months from broadcast.Like what we do? ⁠Donate⁠ to help keep our 102-year old radio station going!Get in touch with the show: email ⁠yellowbritroad@gmail.com⁠, IG @⁠⁠yellowbritroad⁠⁠.PS: submissions, cc ⁠music@cfrc.ca⁠ if you'd like other CFRC DJs to spin your music on their shows as well.

New music from PRESTI, HARRY PUTTER, NIGHTMARES ON WAX, JIM JARMUSCH w/ ANIKA + more hosted by BILL BEARDEN aka WHOA-B + LUKE STOKES. BILL begins the program with a mix of 2 step + UK garage. LUKE follows with an eclectic set of dub, techno + downtempo. [aired 26 Feb 2026 on WLUW-Chicago 88.7FM] >BILL BEARDEN aka WHOA-B Pa Salieu “Belly” (Bakey Remix, 2024) Presti “Big Ting” (Time Is Now, 2026) Main Phase “Hive Mind” (ATW Records, 2026) Holloway “Tailwind” (Nerve Collect, 2025) DJ Haus “Machine Learning” (Interplanetary Criminal Remix, Unknown To The Unknown, 2020) Bodhi “433Mhz” (Ingram, 2025) Coido “Into The Bleak” (Well Street Records, 2024) D1 “Oni” (Tempa, 2025) Adam BFD “Busy Days” (Studio Goncourt, 2025) Jeigo “Emptiness 4 U” (Fleurella Records, 2025) Harry Putter “Drink This Potion” (Swingers, 2026) Oldboy “How’d Ya Feel” (Constant Sound, 2026) Sterling Void “Don’t Wanna Go” (Gemi Remix, 2024) Kepler vs The Trip “House Nation” (Tessellate, 2026) Kobe JT & The Phat Controlla “Next DJ” (Time Is Now, 2022) >LUKE STOKES Bicep “CHROMA 004 ROLA” (CHROMA 000, CHROMA, 2025) Johan Lenox “Show ‘EM Something New” (Full Speed Nowhere, Self Released, 2025) Nightmares on Wax “Bang Bien (feat. Yasiin Bey)” (Echo45 Soundsystem, Warp, 2025) Makaton “Volvelle” (/every.moment, Rodz-Kones, 2025) Weval “OPEN UP THAT DOOR (feat. Kilimanjaro)” CHOROPHOBIA, Technicolour, 2025) Harvey Sutherland “Cigarette” (Debt, clarity recordings, 2025) Deluka “Plastic Emotion” (Supercinema 06 EP, Supercinema Records, 2025) Patrick Watson ” (Uh Oh, Secret City Records, 2025) Venna “Indigo” (MALIK, Cashmere Thoughts, 2025) Hybrid Leisureland “8mm (Mix)” (Flower Bullet, Sonar Library Records, 2025) Jim Jarmusch and Anika “These Days” (Father Mother Sister Brother Soundtrack, Sacred Bones, 2025) Afterlife “WU WEI” (Standing At The Foot Of The Mountain, Subatomic UK, 2025) JL Segel “Mist” (Mist Single, Self Released, 2025) The post absci radio 1410 – whoa-b + luke stokes appeared first on abstract science >> future music chicago.

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Welcome to Off The Beat and Track!In this special episode, host Stu Whiffen sits down with acclaimed singer-songwriter Eugene McGuinness.Emerging from the UK indie scene in the late 2000s, Eugene quickly made a name for himself with his sharp songwriting, distinctive voice, and effortlessly cool blend of indie rock, pop, and art-rock influences. With albums like The Early Learnings of Eugene McGuinness, The Invitation to the Voyage, and Chroma, he's built a reputation as one of the UK's most interesting and inventive songwriters. Eugene has also been a longtime collaborator with Miles Kane, bringing his songwriting talents to a wider audience.In this episode, Eugene reflects on his musical journey, the records and artists that shaped him, and the tracks that mean the most to his story.

David Bailey reveals that 30-40 countries are secretly mining Bitcoin and 10+ nations are quietly building strategic Bitcoin reserves. The CEO of Nakamoto and Bitcoin Magazine joins Brandon to break down the Nakamoto-BTC Inc merger, why Bitcoin treasury companies are struggling, how the convertible note strategy backfired, what the Trump administration has actually delivered for Bitcoin, and why the nation-state Bitcoin race is bigger than anyone realizes. David shares hard-won lessons from his first year as a public company CEO, explains why you can't out-Saylor Saylor, and reveals the asymmetric advantage of accumulating Bitcoin in a bear market. He also discusses why no government wants to announce their Bitcoin holdings — and why that's about to change. Guest: David Bailey — CEO of Nakamoto, Founder of Bitcoin Magazine & BTC Inc Twitter: @DavidFBailey Timestamps: 0:00 - Nations Are Secretly Stacking Bitcoin 0:40 - The Nakamoto & Bitcoin Magazine Merger 3:37 - Bear Market Strategy: Plant Seeds Now, Harvest Later 8:00 - Bitcoin Treasury Companies: What Went Wrong 10:00 - The Saylor Problem: Why You Can't Copy Strategy 13:00 - Too Many DATs, Not Enough Value 16:00 - The $200M Convertible Note Mistake 21:14 - Can Treasury Companies Time The Market? 25:00 - Lessons From A First-Time Public Company CEO 35:00 - Trump Administration: A+ For Bitcoin 38:00 - 30-40 Countries Mining Bitcoin Right Now 42:00 - Why Governments Won't Announce Their Bitcoin 47:00 - Bitcoin Conferences: Vegas, Prague & Global Expansion 49:00 - Bitcoin Culture As A Force Multiplier Bitcoin #DavidBailey #BitcoinMagazine #Nakamoto #BitcoinTreasury #Strategy #BTC #Trump #StrategicBitcoinReserve #NationStateBitcoin #GreenCandle Please Like, Share, and Subscribe to my channel!

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Bitcoin is down 50% from its all-time high. Sentiment is the worst it's been in years. And yet, this might be the most important conversation I've had about where Bitcoin is actually going. Peter Dunworth is a Bitcoin advisor who has been in this space since 2016. He's survived every crash, every bear market, and every time people said Bitcoin was dead. Today he laid out the case for why Bitcoin could see a 10,000x return from current levels — and why the real crisis nobody is talking about makes that not just possible, but necessary. We broke down the collateral crisis hiding underneath the debt problem, what happens when two nation states with money printers start competing for Bitcoin, why the gold and silver blow-off top actually confirms the parabolic thesis, and why this bear market might be the last real buying opportunity before everything changes.

CinemAddicts Episode 333 features reviews of two movies opening Friday, February 27 (Operation Taco Gary's and Undercard). Eric Holmes reviews Santa Zeta which was featured at the Slamdance Film Festival. Bruce Purkey recommends Mistress Dispeller which is streaming on Criterion Channel and he reviews the Patreon assigned pick Delirium: Photo of Gioia.   Timestamps 03:11 - Operation Taco Gary's.

This week, we're marking Dydd Miwsig Cymru, the annual celebration of Welsh and Welsh-language music with an hour of some of the best music from Wales on the Yellow Brit Road (not in the least exhaustive, only vaguely guided by things I haven't played in past years)! From icons to new artists, from miwsig Cymreig to intriguing multilingual songs pushing the boundaries of genre, it's only the finest for you, listeners. In the last half-hour of the show, we join Toronto indie artist Liz Uninvited at her show at The Piston in Toronto for a quick interview and a few songs performed live with her backing band as part of a live session! Music this week by:Manic Street Preachers, Catatonia, Gorky's Zygotic Mynci, Ani Glass, Melin Melyn, Gwilym, Lloyd Steele, Atyniad Achwanegol, CHROMA, N'famady Kouyaté, Shale, Siula, Heather Jones, Sage Todz, Kim Hon, Liz Uninvited. [Other artists mentioned: mclusky, Super Furry Animals, Ynys, Pys Melyn, Joe Webb, Gruff RhysCover picture: Liz Uninvited, The Piston, 9 February 2026.Find this week's playlist here. Try and support artists independently through buying their music, merch, going to shows! Bandcamps/websites linked above.Touch that dial and tune in live! CFRC 101.9 FM in Kingston or cfrc.ca⁠, Sundays 8-9:30 PM! Full shows in the linked archive for 3 months from broadcast.Like what we do? ⁠Donate⁠ to help keep our 102-year old radio station going!Get in touch with the show: email ⁠yellowbritroad@gmail.com⁠, IG @⁠⁠yellowbritroad⁠⁠.PS: submissions, cc ⁠music@cfrc.ca⁠ if you'd like other CFRC DJs to spin your music on their shows as well.

Silver just crashed 41% in a single day while Bitcoin barely flinched — so what does that tell us about where the smart money is really going? In this episode, British Hodl breaks down why $340,000 Bitcoin this cycle is actually conservative, how $10 trillion in bank liquidity is about to flood the markets, why 94% of BlackRock's iBit holders didn't sell through the crash, and what the gold and silver collapse signals about the end of this business cycle. We also dive into why Michael Saylor and BlackRock are now doing the marketing for all of us, how the new Fed chair was basically hired to print, why retail keeps selling Bitcoin at the price they deserve, and what the Trump administration defending Bitcoin really means.

Playlist: Inflo - No FearSault - Let Me GoKid Sister - Long Way BackSault - WildfiresSault - R.LJungle - Beat 54Belle & Sebastian - Poor BoyLittle Simz, featuring Cleo Sol - SelfishSault - Bitter StreetsSault - Smile & GoCleo Sol - Nothing On MeSault - Son ShineLittle Simz - GorillaSault - Feel So GoodCleo Sol - Why Don't YouSault - Fight For LoveCleo Sol - PromisesAdele - Love Is A GameLittle Simz - No MerciCleo Sol - 23Little Simz, featuring Cleo Sol - WomanMichael Kiwanuka - Floating ParadeCHRONIXX - MarketSault - Good Things Will Come After The PressureTyler, The Creator, featuring Daniel Caesar - St. Chroma

Gold and silver are hitting all-time highs while Bitcoin is down over 22% — so what are precious metals screaming at the Bitcoin market? In this episode, Joe Burnett, VP of Bitcoin Strategy at Strive, breaks down why $10 million Bitcoin by 2035 is actually conservative, how technology deflation is quietly destroying the value of stocks, real estate, and even gold, and why Bitcoin is the only asset that can't be diluted. We also dive into the Bitcoin treasury company movement, why SaaS companies are already dead thanks to vibe coding, how banks are about to collide with Bitcoin, and what Saylor's digital credit thesis means for the $300 trillion bond market.

JP Morgan crashed the silver markets! London and Davos is pulling the strings behind the scenes. Gold just ripped past $5,000. Silver spiked to $120+ before a violent pullback. Tom Luongo breaks down what's really happening — how the bullion banks and LBMA engineered the squeeze, why the City of London is at war with the Trump administration, and what it all means for the global financial system. We get into COMEX delivery mechanics most people don't understand, why China is more vulnerable than anyone thought, the real story behind the Venezuela play, and where Bitcoin fits in the new financial order.

The banks' obsession with Bitcoin is accelerating FAST, and the takeover may not be what most people think. In this explosive interview, money expert Hunter Albright breaks down exactly how traditional banking institutions are making their move on Bitcoin—and what it means for YOUR financial sovereignty. Make sure to take advantage of this EXCLUSIVE lending deal with Salt BEFORE Selling your bitcoin!! https://saltlending.com/green-candle/ Hunter Albright brings years of financial expertise to decode this critical moment in Bitcoin's evolution. Whether you're a seasoned holder or just Bitcoin-curious, this conversation will change how you think about the future of money.

You wont be able to buy 0.01 Bitcoin When you Want To…. EX BANKER Exposes WHY You NEED To Buy 0.01 Bitcoin today Banking INSIDER Reveals Why You will NEVER Be Able to own 0.01 Bitcoin Bram, a banker until he found Bitcoin, explains his perspective on why Bitcoin is the single most "asymmetric opportunity" in the investment landscape today. And that that opportunity is based entirely "upon publicly available information." In this episode of the State of Bitcoin podcast, we dive deep into why most people just simply won't do the research. Please Like, Share, and Subscribe to my channel!

This week on the Yellow Brit Road, we reviewed the new Robbie Williams album Britpop, brought you the best new releases out of the UK and Ireland, as well as some of our favourite new Canadian releases and some coverage from Exclaim's class of 2026 showcases of the best new bands in the country. Music byDelays, Gorillaz, Ladytron, Rose Gray, vincent's last summer, CHROMA, DC Dolls, Gingerella, Madra Salach, Greentea Peng, Mellt, congratulations, Robbie Williams, Amy Gadiaga, Aiden Grimshaw, Miesha and the Spanks, GUV, The Kewpie Dolls, The Slow Drags.Find the full playlist of listener picks here. CFRC Fundraiser events here!Try and support artists independently through buying their music, merch, going to shows! Bandcamps/websites linked above.Touch that dial and tune in live! CFRC 101.9 FM in Kingston or cfrc.ca⁠, Sundays 8-9:30 PM! Full shows in the linked archive for 3 months from broadcast.Like what we do? ⁠Donate⁠ to help keep our 102-year old radio station going!Get in touch with the show: email ⁠yellowbritroad@gmail.com⁠, IG @⁠⁠yellowbritroad⁠⁠.PS: submissions, cc ⁠music@cfrc.ca⁠ if you'd like other CFRC DJs to spin your music on their shows as well.

Sunlight or fake light? We explore how light timing and intensity shape the circadian clock, mood, hormones, fertility, and sleep—and why amplitude is the missing key. Sean Kane shares new research on individual light sensitivity, depression and bipolar patterns, and practical fixes that work.Sean Cain, PhD is a Matthew Flinders professor of circadian biology at Flinders University, Australia. He has more than 25 year of research into human circadian system and how light affects health.Join Dr Cain's Adelaide Research project: http://theilluminatestudy.com/(see below for more study links).PODCAST SPONSORS

In this explosive breakdown, we dive deep into the shocking moves coming out about Jamie Dimon, Michael Saylor, and BlackRock — and what it means for every Bitcoin holder RIGHT NOW. If you care about BTC's future, institutional strategies, and the hidden signals Wall Street doesn't want you to see… this video is a MUST WATCH.

In this talk I present the case that artificial light and wireless RF radiation are pervasive indoor pollutants that are disrupting your circadian rhythm and damaging the health of your children. Watch on Youtube to see the slides. CONSULT DR MAXInitial consult - https://www.drmaxgulhane.com/offers/5jfDvLyH/checkoutSUPPORT MY WORK

JP Morgan has quietly flipped its stance on Bitcoin, a move that historically appears near major market turning points. Public skepticism paired with private positioning often signals the final shakeout before a much larger move. At the same time, gold has just doubled for the first time since 1979. In past cycles, gold leads and Bitcoin follows with far greater upside. If that pattern holds, a 10x Bitcoin move into 2026 is not unrealistic. While governments expand powers to freeze accounts and tighten financial controls, institutions like BlackRock and JP Morgan are accumulating Bitcoin and building the infrastructure around it. This video breaks down the data, the timing, and why retail is always pushed out before the real move begins. Watch the signals, not the headlines. Follow Nathan on Twitter @theBTCmentor Study Bitcoin! www.BTCsessions.ca/learn Please Like, Share, and Subscribe to my channel!

In this podcast I'm joined by Mitchell Askew. Mitchell Askew is a Bitcoin educator and content creator known for his work demystifying Bitcoin for newcomers and skeptics alike. Through his online presence as @mitchellhodl, he's built a reputation for breaking down complex Bitcoin concepts into accessible, compelling arguments that resonate with people across the adoption curve. His approach combines technical understanding with practical wisdom about why Bitcoin matters for individual sovereignty and financial freedom. Follow Mitchell on X: https://x.com/MitchellHODL Check out Blockware: https://www.blockwaresolutions.com/ Please Like, Share, and Subscribe to my channel!

Varant Zanoyan is the Co-founder & CEO at Zipline AI, working on building a next-generation AI/ML infrastructure platform that streamlines data pipelines, model deployment, observability, and governance to accelerate enterprise AI development. Nikhil Simha Raprolu is the Co-founder & CTO at Zipline AI, focused on architecting and scaling the company's AI data platform — extending the open-source Chronon engine into a developer-friendly system that simplifies building and operating production AI applications.Real-time features, AI search, Agentic similarities, Varant Zanoyan & Nikhil Simha Raprolu // MLOps Podcast #354Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps Swag/Merch: [https://shop.mlops.community/]And huge thanks to Chroma for hosting us in their recording studio// AbstractFeature stores might be the wrong abstraction. Varant Zanoyan and Nikhil Simha Raprolu explain why Cronon ditched “store-first” thinking and focused on compute, orchestration, and real-time correctness—born at Airbnb, battle-tested with Stripe. If embeddings, agents, and real-time ML feel painful, this episode explains why.// Related LinksWebsite: https://zipline.ai/ ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Varant on LinkedIn: /vzanoyan/Connect with Nikhil on LinkedIn: /nikhilsimha/Timestamps:[00:00] Feature Platform Insights[02:00] Zipline and Feature Stores[05:19] Cronon and Zipline Origins[10:49] Feast and Feather Comparison[13:27] Open source challenges[20:52] Zipline and Iceberg Integration [23:54] Airbnb Agent Systems[28:16] Features vs Embeddings[29:07] Wrap up

Join us for a deep and candid conversation with Chairwoman Angela McArdle on how the Ross Ulbricht pardon came about, including the political dynamics and motives surrounding President Trump at that pivotal moment. We also explore the existential pursuit of financial freedom, the tension between free markets and systemic control, and the current

We dig into why visceral fat drives disease risk, how to spot it on sight and imaging, and the levers that shrink it without losing muscle. We map a practical plan across food, fasting, light, stress, and training, and weigh GLP-1s and surgery against lifestyle-first care.Christopher J. Stadtherr, MD is a board-certified physician in Family Medicine and Obesity Medicine, with expertise in nutrition and metabolic health.  He practices metabolic medicine in a direct primary care (DPC) model out of Gig Harbour, WA, USA and is committed to helping his patients reverse their diabetes, improve their metabolic health, and avoid the myriad complications that necessitate hospitalization.CONSULT DR MAXInitial consult - https://www.drmaxgulhane.com/offers/5jfDvLyH/checkoutSUPPORT MY WORK

We're really moving from a world where humans are authoring search queries and humans are executing those queries and humans are digesting the results to a world where AI is doing that for us.Jeff Huber, CEO and co-founder of Chroma, joins Hugo to talk about how agentic search and retrieval are changing the very nature of search and software for builders and users alike.We Discuss:* “Context engineering”, the strategic design and engineering of what context gets fed to the LLM (data, tools, memory, and more), which is now essential for building reliable, agentic AI systems;* Why simply stuffing large context windows is no longer feasible due to “context rot” as AI applications become more goal-oriented and capable of multi-step tasks* A framework for precisely curating and providing only the most relevant, high-precision information to ensure accurate and dependable AI systems;* The “agent harness”, the collection of tools and capabilities an agent can access, and how to construct these advanced systems;* Emerging best practices for builders, including hybrid search as a robust default, creating “golden datasets” for evaluation, and leveraging sub-agents to break down complex tasks* The major unsolved challenge of agent evaluation, emphasizing a shift towards iterative, data-centric approaches.You can also find the full episode on Spotify, Apple Podcasts, and YouTube.You can also interact directly with the transcript here in NotebookLM: If you do so, let us know anything you find in the comments!

From Pony.ai launching a robo-taxi service during a Shanghai storm to E Ink revolutionising the way supermarkets label their shelves – emerging market companies are in many cases leapfrogging western counterparts. In this episode, investment manager Alice Stretch reveals to host Leo Kelion some of the most disruptive companies innovating at speed in Asia and Latin America. Background:Alice Stretch is an investment manager in Baillie Gifford's Emerging Markets Equity Team. In this conversation, recorded as part of our annual Disruption Week briefings, she explores some of the growth companies in her portfolios turning constraints to their advantage and reducing friction in their customers' lives. Companies discussed include: PolicyBazaar – the Indian insurance platform making it easier for people to protect themselves against life's financial shocks.Nubank – the Brazilian digital lender extending access to banking and credit.Meituan – the food delivery and local services app extending its reach beyond China.MercadoLibre – the Latin American ecommerce and fintech giant expanding into advertising.Mobile World – the Vietnamese conglomerate that has expanded from mobile phones to competitively priced groceries.Sea Ltd – the Singaporean gaming, shopping and fintech group eyeing the possibilities of agentic AI.TSMC (Taiwan Semiconductor Manufacturing Company) – the world's leading chip manufacturer.E Ink – the Taiwanese e-paper pioneer building on its ebook success to provide supermarkets with updateable price tags and marketers with low-power digital billboards.Pony.ai – the first driverless car company to offer a robo-taxi service in four of China's most populous cities. Resources:Disruption Week Emerging markets: how we do what we doEmerging markets: from imitators to innovatorsEmerging markets: the next engines of growth (podcast)Emerging markets in 2050: growth in a changing worldImecShort Briefings on Long Term Thinking hub Companies mentioned include:AmazonByteDanceChromaE InkMercadoLibreMobile WorldMeituanNubankNVIDIAPolicyBazaarPony.aiSea LtdStellantisTSMC Timecodes:00:00  Introduction – Pony.ai takes to Shanghai's roads02:00  The imitators become the innovators05:10   How PolicyBazaar benefits from not being locked into a legacy system 07:10   Nubank: reducing friction while expanding access to banking and credit09:25  MercadoLibre's multi-act expansion leads it to advertising technology10:25   Mobile World's move from selling handsets to groceries11:50   Ways Sea Ltd developed capabilities while operating under constraints13:45   Sea CEO Forrest Li's ability to adapt and pivot15:25   Taking the long-term view and a generalist approach17:30   Studying the semiconductor industry with the help of Imec and TSMC19:45   Investing in Chroma and E Ink in Taiwan21:10   Walmart and other supermarkets adopt E Ink's updateable price labels22:45  The case for investing in Pony.ai as a long-term growth investor24:10   Pony.ai's cost advantage and international partnerships25:55  Taking macroeconomic and geopolitical risk into account27:15   Putting deep knowledge and research to our clients' advantage

Expert physician researcher Sunil Wimalawansa explains why Vitamin D plays a critical role in immune system function, the physiology various forms of vitamin D and how to ensure you keep a level compatible with optimal health.Dr Sunil J. Wimalawansa, MD, PhD is a globally respected clinician-scientist, educator, over three decades of leadership in endocrinology, osteoporosis, metabolic bone disease, and nutrition. He served as professor and chief of endocrinology at leading U.S. medical institutions, including the Robert Wood Johnson Medical School/Rutgers University.CONSULT DR MAXInitial consult - https://www.drmaxgulhane.com/offers/5jfDvLyH/checkoutSUPPORT MY WORK

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Repost of Guy Foundation 2025 Autumn Series Roundtable discussion "Improving our light environment for better health" on 3.12.25. The topic of my talk was "Metabolic consequences of indoor light environment".Head to Guy Foundation YouTube channel to watch the talks with associated slides. Other speakers BiographiesProfessor Stefan Behling is Head of Studio, member of the Design Board and was responsible for Integrated design and innovative construction at the University of Stuttgart from 1995 to 2010. He is a passionate advocate for sustainable design, renewable energy and solar energy and has written a book called Sol Power: the Evolution of Sustainable Design with Sophia Behling in 1996. Daylight and artificial lighting have been a strong interest since the beginning of his career. Scott Zimmerma, optics engineer with more than 35 years of experience in the fields of lighting and displays. His innovations and inventions have been used successfully in a wide range of military and commercial products that include night vision displays, liquid crystal display backlighting designs, and lighting fixtures.Ulysse Dormoy is a highly experienced professional in the lighting industry with influence the profound impact of light on human physiology. Ulysse's quest to uncover the deeper implications of light also extends to its integration within our built environments, exploring how architects, lighting designers, and interior designers can leverage light's full potential. His goal is to enhance daily life through strategic lighting solutions that can optimise routines, improve quality of life, and promote overall wellbeing.James Sherman studied Architecture and City/Regional Planning at Cornell University and the University of Texas at Austin, where he discovered a passion for environmental design. Since he joined Foster + Partners in 2014, James has been focused on the design and execution of natural and artificial lighting strategies for high-profile projects around the world.SUPPORT MY WORK

More and more people are waking up to the fact that 0.01 of a bitcoin is going to be SIGNIFICANT wealth in the not-so-distant future. In this conversation, we're talking about the 2030s… 2040s.. and we'll likely see a bitcoin priced in dollars into the tens of millions, Rajat Soni, CFA breaks it all down for you in this episode of the State of Bitcoin Podcast. Check out Rajat's YouTube channel: @rajatsonifinance Give Rajat a follow on Twitter: https://x.com/Rajatsoni?s=20 Please Like, Share, and Subscribe to my channel!

The truth behind Bitcoin's recent crash revealed by Matt Crosby, Bitcoin Magazine Pro Analyst. In this video, I break down exactly what's happening in the markets overall, why Bitcoin dropped, and what this means for your portfolio going forward. X: https://x.com/MattCrosbyPro Bitcoin Mag Pro: https://x.com/BitcoinMagPro Please Like, Share, and Subscribe to my channel!

We go back to double digits as we celebrate Cartel's 20th and relisten to "Chroma!" Discover bonus eps, merch and more on our Patreon! In this episode: Ramsey figures out how to make a million dollars from the show! New laws are passed! And Heather reveals the latest in swear word innovations! All this and MORE! Wanna get a shout-out on a future episode? Give us a rating on iTunes! It helps us, and it helps you feel good about yourself!

Dr. Sabine Hazan is a pioneering gastroenterologist and the first physician to launch a private microbiome testing lab in the U.S. In this powerful episode, she reveals how decades of clinical experience and cutting-edge research have convinced her that the gut microbiome—especially the near-extinction of key bacteria like Bifidobacteria—lies at the root of Autism, Alzheimer's, cancer, and many chronic diseases. Speaking candidly about the erosion of the doctor-patient relationship, relentless censorship, and the profit-driven forces that have turned medicine into a pill-pushing machine, Dr. Hazan explains why she believes the art of medicine is dying—and how restoring the microbiome could bring it back to lifeProgenabiome: https://progenabiome.comClinical Trials: https://progenabiome.com/clinical-trialsX: https://x.com/SabinehazanMDChroma Light Devices, use "BFCM2025" for 21% discount at https://getchroma.co/?ref=autismUse "autism"$50 discount https://buy.daylightcomputer.com/autism10% discount https://figtreegolf.com/?ref=autismhttps://thecognity.com0:00 Chroma, use "BFCM2025"; Daylight Computer & Fig Tree Golf, use "autism"2:00 Dr. Sabine Hazan; Gastroenterologist; Microbiome; Fecal Transplant; Covid, Alzheimers, Cancer, Gut Conditions7:12 The Impact of COVID on Medical Perspectives; Censorship & Narratives12:26 The Art of Medicine & Relationships- more than just pills (Big Harma)16:28 Understanding Autism & Microbiome connections; Cancer21:16 Challenges with Clinical Trials & Funding26:58 Innovations in Treatment versus the Status Quo31:44 Censorship & Narrative Control (Profits over Humanity); Dr. Andy Wakefield & Autism35:52 The Role of Vaccines & Antibiotics40:16 Future of Microbiome Research & Treatment; Bifidobacteria47:52 Preserving the Microbiome; Mother's & Autism; Autism Research54:18 Fighting Censorship in Science; Narrative Control1:00:56 Lab Testing for Autism; Red Light; Dr. Jack Kruse1:09:14 Collaborating versus Censorship1:13:03 Humanity & Health; Profits over Humanity1:17:27 The Medical Oath; Urgency in Microbiome & BifidobacteriaX: https://x.com/rps47586YT: https://www.youtube.com/channel/UCGxEzLKXkjppo3nqmpXpzuAemail: info.fromthespectrum@gmail.com

Today I had the pleasure of sharing a conversation about recent Bitcoin price action with James Check on checkonchain.com. If you haven't heard of James before, you are missing out on expert analysis and on-chain insights that has made him a widely respected analyst and notable speaker at multiple Bitcoin conferences worldwide. https://x.com/_checkmatey_ https://x.com/_checkonchain https://www.checkonchain.com/ Please Like, Share, and Subscribe to my channel!

Jeff Huber is the CEO of ​Chroma, working on context engineering and building reliable retrieval infrastructure for AI systems. Context Engineering, Context Rot, & Agentic Search with the CEO of Chroma, Jeff Huber // MLOps Podcast #348.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractJeff Huber drops some hard truths about “context rot” — the slow decay of AI memory that's quietly breaking your favorite models. From retrieval chaos to the hidden limits of context windows, he and Demetrios Brinkmann unpack why most AI systems forget what matters and how Chroma is rethinking the entire retrieval stack. It's a bold look at whether smarter AI means cleaner context — or just better ways to hide the mess.// BioJeff Huber is the CEO and cofounder of Chroma. Chroma has raised $20M from top investors in Silicon Valley and builds modern search infrastructure for AI.// Related LinksWebsite: https://www.trychroma.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Jeff on LinkedIn: /jeffchuber/Timestamps:[00:00] AI intelligence context clarity[00:37] Context rot explanation[03:02] Benchmarking context windows[05:09] Breaking down search eras[10:50] Agent task memory issues[17:21] Semantic search limitations[22:54] Context hygiene in AI[30:15] Chroma on-device functionality[38:23] Vision for precision systems[43:07] ML model deployment challenges[44:17] Wrap up

Bitcoin expert since 2011 uncovers how BlackRock's plan can directly impact your wealth and financial freedom. These massive banking institutions will do anything to maintain their power, use YOUR money as THEIR debt collateral; "America will create the legislation to seize the bitcoin if it wants." Simon Dixon is a veteran in the space, bringing an extensive knowledge of economics and banking. Please Like, Share, and Subscribe to my channel!

In this video, we reveal a shocking truth that most investors overlook: you may need far less Bitcoin to secure your financial freedom than you've been told. A leading Bitcoin expert breaks down the math behind long term adoption, supply scarcity, and the staggering future purchasing power of a capped digital money. Follow Ben on X: https://x.com/bensig Please Like, Share, and Subscribe to my channel!

Woah, this is a show FULLLLL of goodness today! First up is Michele Zipp, a Wedding Officiant and ritualist, Reiki Master, writer, editor, and founder of Resisterhood New Paltz. They are well into their Red Tent Drive where the community comes together to donate menstrual hygiene products for those in need. All donations go to Family of New Paltz and their affiliates. Historically, this drive helps folks at Family throughout the year until the next drive. That's where you come in … helping them by donating maxi pads or money so they can purchase pads. Pads only as per Family and what's most requested and needed.They'll be celebrating the end of their drive with a Period Party, hoping to push the donations over the top, and celebrating their partners all in the name of dignity and love on Sunday, November 16th from 1pm until 2:30pm at Redeemer Church in New Paltz. With performances by Perennial and Resisterhood Community Choir featuring members of the B2s! Enter to win their amazing raffle — dinner and grounds tickets for two at Mohonk Mountain House. Enjoy some sweet treat offerings in our Bake Sale. A box/bag of pads will get you in the door (or a $10 suggested donation). Raffle tickets for Mohonk are $20.The drive ends November 30th and red tent boxes are located at Elting and Gardiner Library, The L Salon, Lush, Chroma, JEM, and Le Shag in Kingston.For those of you interested, Resisterhood Choir practice time is Mondays at 6pm at the Marbletown Community Center, by donation. And here's Resisterhood, the organization, on Facebook. You can also send an email to resisterhoodnewpaltz@gmail.com.Next on the show, I welcome two inspiring humans and hosts of the "show of the year," The Oldest Profession at Unicorn Bar Nov 14 Friday Nov 14 | Doors 5 pm | Show 6:30pm. The evening will include a dual pole performance by Ashley Molesso + Gentle Mothh, a 1 hour Performance - comedic history of Whore's written and performed by Kaytlin Bailey, and the Ishtar Collective Mutual Aid Table. Early Bird Tickets are $12 - $22 and $30 at the doorJoining me in conversation are Gentle Mothh, a queer, Southern, Taiwanese American artist and entertainer based in Kingston, NY whose work spans fashion, music, and advocacy. Her debut book,Giving Body, about lived experience and community around erotic labor, is out this fall with Eureka! Press. She is a student of Traditional Chinese Medicine and teaches live Qigong classes on her Substack “Gentle, gentle.”And KWD (they/she) who has been a sex worker their entire adult life, holding a variety of roles in the adult industry throughout their career, and an active advocate for LGBTQ+ and gender-based rights just as long. The flexibility of their work has allowed them to be a dedicated community organizer: distributing medical supplies and meals to working class comrades and unhoused neighbors. Joining with The Ishtar Collective in 2022 created a path beyond local efforts and into state legislative and cultural initiatives to humanize and decriminalize erotic laborers and their clients. She is passionate about inclusive community organizing and invites you to reach out by email to learn more and get involved! kwd@ishtarcollective.orgOur conversation serves as an introduction to the issues faced by and harm caused to sex workers by way of our current laws controlling their behavior and the behavior of their clients. KWD asks us to call Governor Hochul 1-518-474-8390 and ask that she sign the legislation that has passed both houses of our state government and is sitting somewhere in her office. This Immunity legislation - A.1029-B / S.3967-B -  is an "act to amend the penal law, in relation to individuals engaged in prostitution who are victims of or witnesses to a crime." Call today!They walk me through some of the prevailing topics related to sex work that are deserving of a deeper conversation - body autonomy, perceived victimhood, feminism, choice, censorship, religious freedom, and the need for full decriminalization as opposed to partial decriminalization.We get a peek into the personal talking to Mothh about her BEAUTIFUL book and what self care looks like for both of them.You can get a sneak peak into the magic happening on Nov. 14th by joining them for Tarte happening on Sunday November 9, Doors 4pm, show 5pm at C. Cassis, 108 Salisbury Turnpike, Rhinebeck - featuring Lex Powell @lex_growl Joss Lake @joss.e.lake Stephanie Kaylor @stemkay Kaytlin Bailey @kaytlinbaileyAshley Molesso @ashleymolesso Gentle Mothh @gentlemothh Ft. chef: Morgan Brill @morganbrillToday's show was engineered by Ian Seda from Radiokingston.org.Our show music is from Shana Falana!Feel free to email me, say hello: she@iwantwhatshehas.org** Please: SUBSCRIBE to the pod and leave a REVIEW wherever you are listening, it helps other users FIND IThttp://iwantwhatshehas.org/podcastITUNES | SPOTIFYITUNES: https://itunes.apple.com/us/podcast/i-want-what-she-has/id1451648361?mt=2SPOTIFY:https://open.spotify.com/show/77pmJwS2q9vTywz7Uhiyff?si=G2eYCjLjT3KltgdfA6XXCAFollow:INSTAGRAM * https://www.instagram.com/iwantwhatshehaspodcast/FACEBOOK * https://www.facebook.com/iwantwhatshehaspodcast

Linktree: ⁠https://linktr.ee/Analytic⁠Join The Normandy For Additional Bonus Audio And Visual Content For All Things Nme+! Join Here: ⁠https://ow.ly/msoH50WCu0K⁠ In this segment of Notorious Mass Effect, Analytic Dreamz dives deep into Tyler, The Creator's Chromakopia+ deluxe edition, released October 28, 2025 via Columbia Records. The standout addition: “Mother,” a 2020-recorded track originally cut from the 2024 original Chromakopia—Tyler's diary-like exploration of monogamy pressures, fatherhood fears, identity, and introspection. Debuting #1 on Billboard 200 with 299,500 first-week units (platinum-certified), Chromakopia held the top spot for 3 weeks, spawning Hot 100 hits “Noid” (#10), “St. Chroma” feat. Daniel Caesar (#7), and “Sticky” feat. GloRilla, Sexyy Red & Lil Wayne (#10). Tyler calls “Mother” the grounding piece, inspired by 2020 bike rides through Inglewood and maternal conversations redefining “home.” Post-release, he dropped ninth album Don't Tap the Glass (July 2025, another #1) and debuts in Josh Safdie's Marty Supreme alongside Timothée Chalamet. Analytic Dreamz analyzes Tyler's 15-year evolution from Bastard (2009) to career peak, global tour with Lil Yachty & Paris Texas, and creative restlessness. Chromakopia+ completes the narrative with emotional depth and experimental percussion.Support this podcast at — https://redcircle.com/analytic-dreamz-notorious-mass-effect/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

This episode of the No Film School Podcast takes a deep dive into the intersection of AI and creativity in filmmaking. Host GG Hawkins speaks with Matty Shimura from ElevenLabs about the upcoming Chroma Awards—an international competition that aims to spotlight ethical, intentional, and innovative uses of AI in film, music videos, and games. The conversation explores how AI is being used as a tool rather than a shortcut, the ethical complexities of its application in creative work, and how filmmakers can adapt and thrive using these new technologies. This is a sponsored podcast in partnership with ElevenLabs and the Chroma Awards. In this episode, No Film School's GG Hawkins and guest Matty Shimura discuss... The mission behind the Chroma Awards and what makes it unique in the AI creative space Why AI is not the death of creativity, but a tool for expanding it The distinction between “AI natives” and traditional filmmakers How the competition promotes transparency and ethical storytelling Ways AI can democratize filmmaking for underrepresented voices Real-world examples of powerful AI-driven projects like Electric Pink The rigorous and human-driven process behind making an AI film The fears surrounding job replacement and how to respond with curiosity and skill-building Opportunities for collaboration and community within the AI creative movement Memorable Quotes: “AI can never create taste or choice or voice. But it is a tool for honing your voice.” “Just because you can technically do anything, that doesn't mean you should.” “The people who are going to be best at using these tools are those ones who have had these decades of experience.” “I think directing is reacting.” Guests: Matty Shimura – ElevenLabs and Chroma Awards Resources: Chroma Awards ElevenLabs Find No Film School everywhere: On the Web: No Film School Facebook: No Film School on Facebook Twitter: No Film School on Twitter YouTube: No Film School on YouTube Instagram: No Film School on Instagram