Podcasts about Vector

An airhacks.fm conversation with Stuart Marks (@stuartmarks) about: the history of the Teletype Model 33 and punched paper tape, Telex service and long-distance communication costs, the connection between TTY and the teletype company name, 110 baud modems and 10 characters per second transmission, Wang Laboratories field offices connected via Telex, the evolution from Java Enumeration to Iterator to Iterable, Vector.elements() and the absence of an Enumerable interface, the introduction of Iterator and Iterable in JDK 1.2 and 1.5 respectively, the legacy collections Vector and Hashtable and their method-level synchronization overhead, Java 8 lambdas and streams as the major language feature, default methods enabling compatible interface evolution, the long-standing problem of not being able to add methods to published interfaces, Brian Goetz as the main designer of the Spliterator concept, Eclipse Collections and Rich Iterable as an alternative to streams, the GS Collections to Eclipse Collections history, C# LINQ as a competing influence that pressured Java to add streams, the design decision to separate lazy stream operations from eager collection operations, intermediate vs terminal operations in stream pipelines, why streams cannot be consumed twice and the buffering problem with forking streams, primitive specializations of streams (IntStream, LongStream, DoubleStream) and the original compromise of Java primitives vs objects, Spliterator characteristics, the subsized optimization that avoids intermediate storage and merge steps for array-based collections, how Spliterator splitting works for parallel execution and the fork/join pool, Amdahl's law and minimizing single-threaded setup for parallel streams, why Spliterator.trySplit mutates in place rather than returning two new spliterators, HashSet being sized but not subsized due to bucket distribution, ArrayList vs LinkedList performance considerations for streams, streams from non-collection sources like BufferedReader.lines() and String.lines(), infinite streams with Stream.generate(), the limitations of streams for reactive or socket-based processing, the for-each approach as an alternative to to-list for live data sources, the upcoming topics of fork/join pools and parallel stream configuration, the JavaOne conference Stuart Marks on twitter: @stuartmarks

Send a textAndy Yakulis—West Point graduate, former Army pilot, and Special Operations officer turned defense tech entrepreneur—joins Joe to talk about leadership, transition, and the rapidly changing nature of modern warfare.Recruited to West Point just days before September 11th, Andy entered the Army knowing he would serve during a generation defined by war. After flying Kiowa Warrior helicopters and spending nearly a decade in Special Operations, he became increasingly frustrated with the gap between the technology soldiers used in combat and what existed in the civilian world.Together, they discuss Andy's decision to leave the Army at 18 years to start Vector, a company focused on unmanned systems, as well as the challenges of military transition, the realities of leadership in the private sector, and how paying attention to what captures your curiosity might reveal the work you're meant to pursue.Watch the full interview on YouTube!Joe and Andy also discuss:Why physical fitness and sleep still shape Andy's decision-making as a CEOThe value of civilian education for military leadersThe “Saturday morning coffee test” for discovering what you're passionate aboutWhy veterans shouldn't feel pressure to find the perfect post-military job immediatelyThe challenge of leading teams in the private sectorWhy the future of warfare may shift from one operator controlling one drone to one operator orchestrating manyWhether you're transitioning out of the military, exploring entrepreneurship, or curious how technology is changing warfare, this episode offers insights on leadership, innovation, and pursuing work you feel called to do.A Special Thanks to Our Sponsors!Veteran-founded Adyton. Step into the next generation of equipment management with Log-E by Adyton. Whether you are doing monthly inventories or preparing for deployment, Log-E is your pocket property book, giving real-time visibility into equipment status and mission readiness. Learn more about how Log-E can revolutionize your property tracking process here!Dunedain Systems is a veteran-founded defense technology company building Warmind, an AI platform that accelerates military planning, operations, and document generation. Warmind connects to your unit's data and learns how your warfighting function operates, delivering outputs tailored to your SOPs and operational context rather than generic AI responses. Whether your team is building OPORDs, running intel workflows, or generating CONOPs, Warmind handles the heavy lift so your staff can focus on decisions, not paperwork. Built by combat veterans who lived the problem firsthand, Warmind is already in use across SOCOM and the broader DoD. The beta is free for anyone with a .mil or .edu email at dunedainsystems.com.Meet ROGER Bank—a modern, digital bank built for military members, by military members. With early payday, no fees, high-yield accounts, and real support, it's banking that gets you. Funds are FDIC insured through Citizens Bank of Edmond, so you can bank with confidence and peace of mind. Logistics Systems Incorporated (LSI) is a Service-Disabled Veteran-Owned Small Business supporting DoD and federal civilian agencies with enterprise IT operations, global logistics support, cybersecurity, data, and mission support services. Founded by a veteran Army leader, LSI is known for operating inside

Who will win the AI race in 2026?

Turbopuffer came out of a reading app.In 2022, Simon was helping his friends at Readwise scale their infra for a highly requested feature: article recommendations and semantic search. Readwise was paying ~$5k/month for their relational database and vector search would cost ~$20k/month making the feature too expensive to ship. In 2023 after mulling over the problem from Readwise, Simon decided he wanted to “build a search engine” which became Turbopuffer.We discuss:• Simon's path: Denmark → Shopify infra for nearly a decade → “angel engineering” across startups like Readwise, Replicate, and Causal → turbopuffer almost accidentally becoming a company • The Readwise origin story: building an early recommendation engine right after the ChatGPT moment, seeing it work, then realizing it would cost ~$30k/month for a company spending ~$5k/month total on infra and getting obsessed with fixing that cost structure • Why turbopuffer is “a search engine for unstructured data”: Simon's belief that models can learn to reason, but can't compress the world's knowledge into a few terabytes of weights, so they need to connect to systems that hold truth in full fidelity • The three ingredients for building a great database company: a new workload, a new storage architecture, and the ability to eventually support every query plan customers will want on their data • The architecture bet behind turbopuffer: going all in on object storage and NVMe, avoiding a traditional consensus layer, and building around the cloud primitives that only became possible in the last few years • Why Simon hated operating Elasticsearch at Shopify: years of painful on-call experience shaped his obsession with simplicity, performance, and eliminating state spread across multiple systems • The Cursor story: launching turbopuffer as a scrappy side project, getting an email from Cursor the next day, flying out after a 4am call, and helping cut Cursor's costs by 95% while fixing their per-user economics • The Notion story: buying dark fiber, tuning TCP windows, and eating cross-cloud costs because Simon refused to compromise on architecture just to close a deal faster • Why AI changes the build-vs-buy equation: it's less about whether a company can build search infra internally, and more about whether they have time especially if an external team can feel like an extension of their own • Why RAG isn't dead: coding companies still rely heavily on search, and Simon sees hybrid retrieval semantic, text, regex, SQL-style patterns becoming more important, not less • How agentic workloads are changing search: the old pattern was one retrieval call up front; the new pattern is one agent firing many parallel queries at once, turning search into a highly concurrent tool call • Why turbopuffer is reducing query pricing: agentic systems are dramatically increasing query volume, and Simon expects retrieval infra to adapt to huge bursts of concurrent search rather than a small number of carefully chosen calls • The philosophy of “playing with open cards”: Simon's habit of being radically honest with investors, including telling Lachy Groom he'd return the money if turbopuffer didn't hit PMF by year-end • The “P99 engineer”: Simon's framework for building a talent-dense company, rejecting by default unless someone on the team feels strongly enough to fight for the candidate —Simon Hørup Eskildsen• LinkedIn: https://www.linkedin.com/in/sirupsen• X: https://x.com/Sirupsen• https://sirupsen.com/aboutturbopuffer• https://turbopuffer.com/Full Video PodTimestamps00:00:00 The PMF promise to Lachy Groom00:00:25 Intro and Simon's background00:02:19 What turbopuffer actually is00:06:26 Shopify, Elasticsearch, and the pain behind the company00:10:07 The Readwise experiment that sparked turbopuffer00:12:00 The insight Simon couldn't stop thinking about00:17:00 S3 consistency, NVMe, and the architecture bet00:20:12 The Notion story: latency, dark fiber, and conviction00:25:03 Build vs. buy in the age of AI00:26:00 The Cursor story: early launch to breakout customer00:29:00 Why code search still matters00:32:00 Search in the age of agents00:34:22 Pricing turbopuffer in the AI era00:38:17 Why Simon chose Lachy Groom00:41:28 Becoming a founder on purpose00:44:00 The “P99 engineer” philosophy00:49:30 Bending software to your will00:51:13 The future of turbopuffer00:57:05 Simon's tea obsession00:59:03 Tea kits, X Live, and P99 LiveTranscriptSimon Hørup Eskildsen: I don't think I've said this publicly before, but I just called Lockey and was like, local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you. But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working.So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people. We're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards. Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before.Alessio: Hey everyone, welcome to the Leading Space podcast. This is Celesio Pando, Colonel Laz, and I'm joined by Swix, editor of Leading Space.swyx: Hello. Hello, uh, we're still, uh, recording in the Ker studio for the first time. Very excited. And today we are joined by Simon Eski. Of Turbo Farer welcome.Simon Hørup Eskildsen: Thank you so much for having me.swyx: Turbo Farer has like really gone on a huge tear, and I, I do have to mention that like you're one of, you're not my newest member of the Danish AHU Mafia, where like there's a lot of legendary programmers that have come out of it, like, uh, beyond Trotro, Rasmus, lado Berg and the V eight team and, and Google Maps team.Uh, you're mostly a Canadian now, but isn't that interesting? There's so many, so much like strong Danish presence.Simon Hørup Eskildsen: Yeah, I was writing a post, um, not that long ago about sort of the influences. So I grew up in Denmark, right? I left, I left when, when I was 18 to go to Canada to, to work at Shopify. Um, and so I, like, I've, I would still say that I feel more Danish than, than Canadian.This is also the weird accent. I can't say th because it, this is like, I don't, you know, my wife is also Canadian, um, and I think. I think like one of the things in, in Denmark is just like, there's just such a ruthless pragmatism and there's also a big focus on just aesthetics. Like, they're like very, people really care about like where, what things look like.Um, and like Canada has a lot of attributes, US has, has a lot of attributes, but I think there's been lots of the great things to carry. I don't know what's in the water in Ahu though. Um, and I don't know that I could be considered part of the Mafi mafia quite yet, uh, compared to the phenomenal individuals we just mentioned.Barra OV is also, uh, Danish Canadian. Okay. Yeah. I don't know where he lives now, but, and he's the PHP.swyx: Yeah. And obviously Toby German, but moved to Canada as well. Yes. Like this is like import that, uh, that, that is an interesting, um, talent move.Alessio: I think. I would love to get from you. Definition of Turbo puffer, because I think you could be a Vector db, which is maybe a bad word now in some circles, you could be a search engine.It's like, let, let's just start there and then we'll maybe run through the history of how you got to this point.Simon Hørup Eskildsen: For sure. Yeah. So Turbo Puffer is at this point in time, a search engine, right? We do full text search and we do vector search, and that's really what we're specialized in. If you're trying to do much more than that, like then this might not be the right place yet, but Turbo Buffer is all about search.The other way that I think about it is that we can take all of the world's knowledge, all of the exabytes and exabytes of data that there is, and we can use those tokens to train a model, but we can't compress all of that into a few terabytes of weights, right? Compress into a few terabytes of weights, how to reason with the world, how to make sense of the knowledge.But we have to somehow connect it to something externally that actually holds that like in full fidelity and truth. Um, and that's the thing that we intend to become. Right? That's like a very holier than now kind of phrasing, right? But being the search engine for unstructured, unstructured data is the focus of turbo puffer at this point in time.Alessio: And let's break down. So people might say, well, didn't Elasticsearch already do this? And then some other people might say, is this search on my data, is this like closer to rag than to like a xr, like a public search thing? Like how, how do you segment like the different types of search?Simon Hørup Eskildsen: The way that I generally think about this is like, there's a lot of database companies and I think if you wanna build a really big database company, sort of, you need a couple of ingredients to be in the air.We don't, which only happens roughly every 15 years. You need a new workload. You basically need the ambition that every single company on earth is gonna have data in your database. Multiple times you look at a company like Oracle, right? You will, like, I don't think you can find a company on earth with a digital presence that it not, doesn't somehow have some data in an Oracle database.Right? And I think at this point, that's also true for Snowflake and Databricks, right? 15 years later it's, or even more than that, there's not a company on earth that doesn't, in. Or directly is consuming Snowflake or, or Databricks or any of the big analytics databases. Um, and I think we're in that kind of moment now, right?I don't think you're gonna find a company over the next few years that doesn't directly or indirectly, um, have all their data available for, for search and connect it to ai. So you need that new workload, like you need something to be happening where there's a new workload that causes that to happen, and that new workload is connecting very large amounts of data to ai.The second thing you need. The second condition to build a big database company is that you need some new underlying change in the storage architecture that is not possible from the databases that have come before you. If you look at Snowflake and Databricks, right, commoditized, like massive fleet of HDDs, like that was not possible in it.It just wasn't in the air in the nineties, right? So you just didn't, we just didn't build these systems. S3 and and and so on was not around. And I think the architecture that is now possible that wasn't possible 15 years ago is to go all in on NVME SSDs. It requires a particular type of architecture for the database that.It's difficult to retrofit onto the databases that are already there, including the ones you just mentioned. The second thing is to go all in on OIC storage, more so than we could have done 15 years ago. Like we don't have a consensus layer, we don't really have anything. In fact, you could turn off all the servers that Turbo Buffer has, and we would not lose any data because we have all completely all in on OIC storage.And this means that our architecture is just so simple. So that's the second condition, right? First being a new workload. That means that every company on earth, either indirectly or directly, is using your database. Second being, there's some new storage architecture. That means that the, the companies that have come before you can do what you're doing.I think the third thing you need to do to build a big database company is that over time you have to implement more or less every Cory plan on the data. What that means is that you. You can't just get stuck in, like, this is the one thing that a database does. It has to be ever evolving because when someone has data in the database, they over time expect to be able to ask it more or less every question.So you have to do that to get the storage architecture to the limit of what, what it's capable of. Those are the three conditions.swyx: I just wanted to get a little bit of like the motivation, right? Like, so you left Shopify, you're like principal, engineer, infra guy. Um, you also head of kernel labs, uh, inside of Shopify, right?And then you consulted for read wise and that it kind of gave you that, that idea. I just wanted you to tell that story. Um, maybe I, you've told it before, but, uh, just introduce the, the. People to like the, the new workload, the sort of aha moment for turbo PufferSimon Hørup Eskildsen: For sure. So yeah, I spent almost a decade at Shopify.I was on the infrastructure team, um, from the fairly, fairly early days around 2013. Um, at the time it felt like it was growing so quickly and everything, all the metrics were, you know, doubling year on year compared to the, what companies are contending with today. It's very cute in growth. I feel like lot some companies are seeing that month over month.Um, of course. Shopify compound has been compounding for a very long time now, but I spent a decade doing that and the majority of that was just make sure the site is up today and make sure it's up a year from now. And a lot of that was really just the, um, you know, uh, the Kardashians would drive very, very large amounts of, of data to, to uh, to Shopify as they were rotating through all the merch and building out their businesses.And we just needed to make sure we could handle that. Right. And sometimes these were events, a million requests per second. And so, you know, we, we had our own data centers back in the day and we were moving to the cloud and there was so much sharding work and all of that that we were doing. So I spent a decade just scaling databases ‘cause that's fundamentally what's the most difficult thing to scale about these sites.The database that was the most difficult for me to scale during that time, and that was the most aggravating to be on call for, was elastic search. It was very, very difficult to deal with. And I saw a lot of projects that were just being held back in their ambition by using it.swyx: And I mean, self-hosted.Self-hosted. ‘causeSimon Hørup Eskildsen: it's, yeah, and it commercial, this is like 2015, right? So it's like a very particular vintage. Right. It's probably better at a lot of these things now. Um, it was difficult to contend with and I'm just like, I just think about it. It's an inverted index. It should be good at these kinds of queries and do all of this.And it was, we, we often couldn't get it to do exactly what we needed to do or basically get lucine to do, like expose lucine raw to, to, to what we needed to do. Um, so that was like. Just something that we did on the side and just panic scaled when we needed to, but not a particular focus of mine. So I left, and when I left, I, um, wasn't sure exactly what I wanted to do.I mean, it spent like a decade inside of the same company. I'd like grown up there. I started working there when I was 18.swyx: You only do Rails?Simon Hørup Eskildsen: Yeah. I mean, yeah. Rails. And he's a Rails guy. Uh, love Rails. So good. Um,Alessio: we all wish we could still work in Rails.swyx: I know know. I know, but some, I tried learning Ruby.It's just too much, like too many options to do the same thing. It's, that's my, I I know there's a, there's a way to do it.Simon Hørup Eskildsen: I love it. I don't know that I would use it now, like given cloud code and, and, and cursor and everything, but, um, um, but still it, like if I'm just sitting down and writing a teal code, that's how I think.But anyway, I left and I wasn't, I talked to a couple companies and I was like, I don't. I need to see a little bit more of the world here to know what I'm gonna like focus on next. Um, and so what I decided is like I was gonna, I called it like angel engineering, where I just hopped around in my friend's companies in three months increments and just helped them out with something.Right. And, and just vested a bit of equity and solved some interesting infrastructure problem. So I worked with a bunch of companies at the time, um, read Wise was one of them. Replicate was one of them. Um, causal, I dunno if you've tried this, it's like a, it's a spreadsheet engine Yeah. Where you can do distribution.They sold recently. Yeah. Um, we've been, we used that in fp and a at, um, at Turbo Puffer. Um, so a bunch of companies like this and it was super fun. And so we're the Chachi bt moment happened, I was with. With read Wise for a stint, we were preparing for the reader launch, right? Which is where you, you cue articles and read them later.And I was just getting their Postgres up to snuff, like, which basically boils down to tuning, auto vacuum. So I was doing that and then this happened and we were like, oh, maybe we should build a little recommendation engine and some features to try to hook in the lms. They were not that good yet, but it was clear there was something there.And so I built a small recommendation engine just, okay, let's take the articles that you've recently read, right? Like embed all the articles and then do recommendations. It was good enough that when I ran it on one of the co-founders of Rey's, like I found out that I got articles about, about having a child.I'm like, oh my God, I didn't, I, I didn't know that, that they were having a child. I wasn't sure what to do with that information, but the recommendation engine was good enough that it was suggesting articles, um, about that. And so there was, there was recommendations and uh, it actually worked really well.But this was a company that was spending maybe five grand a month in total on all their infrastructure and. When I did the napkin math on running the embeddings of all the articles, putting them into a vector index, putting it in prod, it's gonna be like 30 grand a month. That just wasn't tenable. Right?Like Read Wise is a proudly bootstrapped company and it's paying 30 grand for infrastructure for one feature versus five. It just wasn't tenable. So sort of in the bucket of this is useful, it's pretty good, but let us, let's return to it when the costs come down.swyx: Did you say it grows by feature? So for five to 30 is by the number of, like, what's the, what's the Scaling factor scale?It scales by the number of articles that you embed.Simon Hørup Eskildsen: It does, but what I meant by that is like five grand for like all of the other, like the Heroku, dinos, Postgres, like all the other, and this then storage is 30. Yeah. And then like 30 grand for one feature. Right. Which is like, what other articles are related to this one.Um, so it was just too much right to, to power everything. Their budget would've been maybe a few thousand dollars, which still would've been a lot. And so we put it in a bucket of, okay, we're gonna do that later. We'll wait, we will wait for the cost to come down. And that haunted me. I couldn't stop thinking about it.I was like, okay, there's clearly some latent demand here. If the cost had been a 10th, we would've shipped it and. This was really the only data point that I had. Right. I didn't, I, I didn't, I didn't go out and talk to anyone else. It was just so I started reading Right. I couldn't, I couldn't help myself.Like I didn't know what like a vector index is. I, I generally barely do about how to generate the vectors. There was a lot of hype about, this is a early 2023. There was a lot of hype about vector databases. There were raising a lot of money and it's like, I really didn't know anything about it. It's like, you know, trying these little models, fine tuning them.Like I was just trying to get sort of a lay of the land. So I just sat down. I have this. A GitHub repository called Napkin Math. And on napkin math, there's just, um, rows of like, oh, this is how much bandwidth. Like this is how many, you know, you can do 25 gigabytes per second on average to dram. You can do, you know, five gigabytes per second of rights to an SSD, blah blah.All of these numbers, right? And S3, how many you could do per, how much bandwidth can you drive per connection? I was just sitting down, I was like, why hasn't anyone build a database where you just put everything on O storage and then you puff it into NVME when you use the data and you puff it into dram if you're, if you're querying it alive, it's just like, this seems fairly obvious and you, the only real downside to that is that if you go all in on o storage, every right will take a couple hundred milliseconds of latency, but from there it's really all upside, right?You do the first go, it takes half a second. And it sort of occurred to me as like, well. The architecture is really good for that. It's really good for AB storage, it's really good for nvm ESSD. It's, well, you just couldn't have done that 10 years ago. Back to what we were talking about before. You really have to build a database where you have as few round trips as possible, right?This is how CPUs work today. It's how NVM E SSDs work. It's how as, um, as three works that you want to have a very large amount of outstanding requests, right? Like basically go to S3, do like that thousand requests to ask for data in one round trip. Wait for that. Get that, like, make a new decision. Do it again, and try to do that maybe a maximum of three times.But no databases were designed that way within NVME as is ds. You can drive like within, you know, within a very low multiple of DRAM bandwidth if you use it that way. And same with S3, right? You can fully max out the network card, which generally is not maxed out. You get very, like, very, very good bandwidth.And, but no one had built a database like that. So I was like, okay, well can't you just, you know, take all the vectors right? And plot them in the proverbial coordinate system. Get the clusters, put a file on S3 called clusters, do json, and then put another file for every cluster, you know, cluster one, do js O cluster two, do js ON you know that like it's two round trips, right?So you get the clusters, you find the closest clusters, and then you download the cluster files like the, the closest end. And you could do this in two round trips.swyx: You were nearest neighbors locally.Simon Hørup Eskildsen: Yes. Yes. And then, and you would build this, this file, right? It's just like ultra simplistic, but it's not a far shot from what the first version of Turbo Buffer was.Why hasn't anyone done thatAlessio: in that moment? From a workload perspective, you're thinking this is gonna be like a read heavy thing because they're doing recommend. Like is the fact that like writes are so expensive now? Oh, with ai you're actually not writing that much.Simon Hørup Eskildsen: At that point I hadn't really thought too much about, well no actually it was always clear to me that there was gonna be a lot of rights because at Shopify, the search clusters were doing, you know, I don't know, tens or hundreds of crew QPS, right?‘cause you just have to have a human sit and type in. But we did, you know, I don't know how many updates there were per second. I'm sure it was in the millions, right into the cluster. So I always knew there was like a 10 to 100 ratio on the read write. In the read wise use case. It's, um, even, even in the read wise use case, there'd probably be a lot fewer reads than writes, right?There's just a lot of churn on the amount of stuff that was going through versus the amount of queries. Um, I wasn't thinking too much about that. I was mostly just thinking about what's the fundamentally cheapest way to build a database in the cloud today using the primitives that you have available.And this is it, right? You just, now you have one machine and you know, let's say you have a terabyte of data in S3, you paid the $200 a month for that, and then maybe five to 10% of that data and needs to be an NV ME SSDs and less than that in dram. Well. You're paying very, very little to inflate the data.swyx: By the way, when you say no one else has done that, uh, would you consider Neon, uh, to be on a similar path in terms of being sort of S3 first and, uh, separating the compute and storage?Simon Hørup Eskildsen: Yeah, I think what I meant with that is, uh, just build a completely new database. I don't know if we were the first, like it was very much, it was, I mean, I, I hadn't, I just looked at the napkin math and was like, this seems really obvious.So I'm sure like a hundred people came up with it at the same time. Like the light bulb and every invention ever. Right. It was just in the air. I think Neon Neon was, was first to it. And they're trying, they're retrofitted onto Postgres, right? And then they built this whole architecture where you have, you have it in memory and then you sort of.You know, m map back to S3. And I think that was very novel at the time to do it for, for all LTP, but I hadn't seen a database that was truly all in, right. Not retrofitting it. The database felt built purely for this no consensus layer. Even using compare and swap on optic storage to do consensus. I hadn't seen anyone go that all in.And I, I mean, there, there, I'm sure there was someone that did that before us. I don't know. I was just looking at the napkin mathswyx: and, and when you say consensus layer, uh, are you strongly relying on S3 Strong consistency? You are. Okay.SoSimon Hørup Eskildsen: that is your consensus layer. It, it is the consistency layer. And I think also, like, this is something that most people don't realize, but S3 only became consistent in December of 2020.swyx: I remember this coming out during COVID and like people were like, oh, like, it was like, uh, it was just like a free upgrade.Simon Hørup Eskildsen: Yeah.swyx: They were just, they just announced it. We saw consistency guys and like, okay, cool.Simon Hørup Eskildsen: And I'm sure that they just, they probably had it in prod for a while and they're just like, it's done right.And people were like, okay, cool. But. That's a big moment, right? Like nv, ME SSDs, were also not in the cloud until around 2017, right? So you just sort of had like 2017 nv, ME SSDs, and people were like, okay, cool. There's like one skew that does this, whatever, right? Takes a few years. And then the second thing is like S3 becomes consistent in 2020.So now it means you don't have to have this like big foundation DB or like zookeeper or whatever sitting there contending with the keys, which is how. You know, that's what Snowflake and others have do so muchswyx: for goneSimon Hørup Eskildsen: Exactly. Just gone. Right? And so just push to the, you know, whatever, how many hundreds of people they have working on S3 solved and then compare and swap was not in S3 at this point in time,swyx: by the way.Uh, I don't know what that is, so maybe you wanna explain. Yes. Yeah.Simon Hørup Eskildsen: Yes. So, um, what Compare and swap is, is basically, you can imagine that if you have a database, it might be really nice to have a file called metadata json. And metadata JSON could say things like, Hey, these keys are here and this file means that, and there's lots of metadata that you have to operate in the database, right?But that's the simplest way to do it. So now you have might, you might have a lot of servers that wanna change the metadata. They might have written a file and want the metadata to contain that file. But you have a hundred nodes that are trying to contend with this metadata that JSON well, what compare and Swap allows you to do is basically just you download the file, you make the modifications, and then you write it only if it hasn't changed.While you did the modification and if not you retry. Right? Should just have this retry loops. Now you can imagine if you have a hundred nodes doing that, it's gonna be really slow, but it will converge over time. That primitive was not available in S3. It wasn't available in S3 until late 2024, but it was available in GCP.The real story of this is certainly not that I sat down and like bake brained it. I was like, okay, we're gonna start on GCS S3 is gonna get it later. Like it was really not that we started, we got really lucky, like we started on GCP and we started on GCP because tur um, Shopify ran on GCP. And so that was the platform I was most available with.Right. Um, and I knew the Canadian team there ‘cause I'd worked with them at Shopify and so it was natural for us to start there. And so when we started building the database, we're like, oh yeah, we have to build a, we really thought we had to build a consensus layer, like have a zookeeper or something to do this.But then we discovered the compare and swap. It's like, oh, we can kick the can. Like we'll just do metadata r json and just, it's fine. It's probably fine. Um, and we just kept kicking the can until we had very, very strong conviction in the idea. Um, and then we kind of just hinged the company on the fact that S3 probably was gonna get this, it started getting really painful in like mid 2024.‘cause we were closing deals with, um, um, notion actually that was running in AWS and we're like, trust us. You, you really want us to run this in GCP? And they're like, no, I don't know about that. Like, we're running everything in AWS and the latency across the cloud were so big and we had so much conviction that we bought like, you know, dark fiber between the AWS regions in, in Oregon, like in the InterExchange and GCP is like, we've never seen a startup like do like, what's going on here?And we're just like, no, we don't wanna do this. We were tuning like TCP windows, like everything to get the latency down ‘cause we had so high conviction in not doing like a, a metadata layer on S3. So those were the three conditions, right? Compare and swap. To do metadata, which wasn't in S3 until late 2024 S3 being consistent, which didn't happen until December, 2020.Uh, 2020. And then NVMe ssd, which didn't end in the cloud until 2017.swyx: I mean, in some ways, like a very big like cloud success story that like you were able to like, uh, put this all together, but also doing things like doing, uh, bind our favor. That that actually is something I've never heard.Simon Hørup Eskildsen: I mean, it's very common when you're a big company, right?You're like connecting your own like data center or whatever. But it's like, it was uniquely just a pain with notion because the, um, the org, like most of the, like if you're buying in Ashburn, Virginia, right? Like US East, the Google, like the GCP and, and AWS data centers are like within a millisecond on, on each other, on the public exchanges.But in Oregon uniquely, the GCP data center sits like a couple hundred kilometers, like east of Portland and the AWS region sits in Portland, but the network exchange they go through is through Seattle. So it's like a full, like 14 milliseconds or something like that. And so anyway, yeah. It's, it's, so we were like, okay, we can't, we have to go through an exchange in Portland.Yeah. Andswyx: you'd rather do this than like run your zookeeper and likeSimon Hørup Eskildsen: Yes. Way rather. It doesn't have state, I don't want state and two systems. Um, and I think all that is just informed by Justine, my co-founder and I had just been on call for so long. And the worst outages are the ones where you have state in multiple places that's not syncing up.So it really came from, from a a, like just a, a very pure source of pain, of just imagining what we would be Okay. Being woken up at 3:00 AM about and having something in zookeeper was not one of them.swyx: You, you're talking to like a notion or something. Do they care or do they just, theySimon Hørup Eskildsen: just, they care about latency.swyx: They latency cost. That's it.Simon Hørup Eskildsen: They just cared about latency. Right. And we just absorbed the cost. We're just like, we have high conviction in this. At some point we can move them to AWS. Right. And so we just, we, we'll buy the fiber, it doesn't matter. Right. Um, and it's like $5,000. Usually when you buy fiber, you buy like multiple lines.And we're like, we can only afford one, but we will just test it that when it goes over the public internet, it's like super smooth. And so we did a lot of, anyway, it's, yeah, it was, that's cool.Alessio: You can imagine talking to the GCP rep and it's like, no, we're gonna buy, because we know we're gonna turn, we're gonna turn from you guys and go to AWS in like six months.But in the meantime we'll do this. It'sSimon Hørup Eskildsen: a, I mean, like they, you know, this workload still runs on GCP for what it's worth. Right? ‘cause it's so, it was just, it was so reliable. So it was never about moving off GCP, it was just about honesty. It was just about giving notion the latency that they deserved.Right. Um, and we didn't want ‘em to have to care about any of this. We also, they were like, oh, egress is gonna be bad. It was like, okay, screw it. Like we're just gonna like vvc, VPC peer with you and AWS we'll eat the cost. Yeah. Whatever needs to be done.Alessio: And what were the actual workloads? Because I think when you think about ai, it's like 14 milliseconds.It's like really doesn't really matter in the scheme of like a model generation.Simon Hørup Eskildsen: Yeah. We were told the latency, right. That we had to beat. Oh, right. So, so we're just looking at the traces. Right. And then sort of like hand draw, like, you know, kind of like looking at the trace and then thinking what are the other extensions of the trace?Right. And there's a lot more to it because it's also when you have, if you have 14 versus seven milliseconds, right. You can fit in another round trip. So we had to tune TCP to try to send as much data in every round trip, prewarm all the connections. And there was, there's a lot of things that compound from having these kinds of round trips, but in the grand scheme it was just like, well, we have to beat the latency of whatever we're up against.swyx: Which is like they, I mean, notion is a database company. They could have done this themselves. They, they do lots of database engineering themselves. How do you even get in the door? Like Yeah, just like talk through that kind of.Simon Hørup Eskildsen: Last time I was in San Francisco, I was talking to one of the engineers actually, who, who was one of our champions, um, at, AT Notion.And they were, they were just trying to make sure that the, you know, per user cost matched the economics that they needed. You know, Uhhuh like, it's like the way I think about, it's like I have to earn a return on whatever the clouds charge me and then my customers have to earn a return on that. And it's like very simple, right?And so there has to be gross margin all the way up and that's how you build the product. And so then our customers have to make the right set of trade off the turbo Puffer makes, and if they're happy with that, that's great.swyx: Do you feel like you're competing with build internally versus buy or buy versus buy?Simon Hørup Eskildsen: Yeah, so, sorry, this was all to build up to your question. So one of the notion engineers told me that they'd sat and probably on a napkin, like drawn out like, why hasn't anyone built this? And then they saw terrible. It was like, well, it literally that. So, and I think AI has also changed the buy versus build equation in terms of, it's not really about can we build it, it's about do we have time to build it?I think they like, I think they felt like, okay, if this is a team that can do that and they, they feel enough like an extension of our team, well then we can go a lot faster, which would be very, very good for them. And I mean, they put us through the, through the test, right? Like we had some very, very long nights to to, to do that POC.And they were really our biggest, our second big customer off the cursor, which also was a lot of late nights. Right.swyx: Yeah. That, I mean, should we go into that story? The, the, the sort of Chris's story, like a lot, um, they credit you a lot for. Working very closely with them. So I just wanna hear, I've heard this, uh, story from Sole's point of view, but like, I'm curious what, what it looks like from your side.Simon Hørup Eskildsen: I actually haven't heard it from Sole's point of view, so maybe you can now cross reference it. The way that I remember it was that, um, the day after we launched, which was just, you know, I'd worked the whole summer on, on the first version. Justine wasn't part of it yet. ‘cause I just, I didn't tell anyone that summer that I was working on this.I was just locked in on building it because it's very easy otherwise to confuse talking about something to actually doing it. And so I was just like, I'm not gonna do that. I'm just gonna do the thing. I launched it and at this point turbo puffer is like a rust binary running on a single eight core machine in a T Marks instance.And me deploying it was like looking at the request log and then like command seeing it or like control seeing it to just like, okay, there's no request. Let's upgrade the binary. Like it was like literally the, the, the, the scrappiest thing. You could imagine it was on purpose because just like at Shopify, we did that all the time.Like, we like move, like we ran things in tux all the time to begin with. Before something had like, at least the inkling of PMF, it was like, okay, is anyone gonna hear about this? Um, and one of the cursor co-founders Arvid reached out and he just, you know, the, the cursor team are like all I-O-I-I-M-O like, um, contenders, right?So they just speak in bullet points and, and facts. It was like this amazing email exchange just of, this is how many QPS we have, this is what we're paying, this is where we're going, blah, blah, blah. And so we're just conversing in bullet points. And I tried to get a call with them a few times, but they were, so, they were like really writing the PMF bowl here, just like late 2023.And one time Swally emails me at like five. What was it like 4:00 AM Pacific time saying like, Hey, are you open for a call now? And I'm on the East coast and I, it was like 7:00 AM I was like, yeah, great, sure, whatever. Um, and we just started talking and something. Then I didn't know anything about sales.It was something that just comp compelled me. I have to go see this team. Like, there's something here. So I, I went to San Francisco and I went to their office and the way that I remember it is that Postgres was down when I showed up at the office. Did SW tell you this? No. Okay. So Postgres was down and so it's like they were distracting with that.And I was trying my best to see if I could, if I could help in any way. Like I knew a little bit about databases back to tuning, auto vacuum. It was like, I think you have to tune out a vacuum. Um, and so we, we talked about that and then, um, that evening just talked about like what would it look like, what would it look like to work with us?And I just said. Look like we're all in, like we will just do what we'll do whatever, whatever you tell us, right? They migrated everything over the next like week or two, and we reduced their cost by 95%, which I think like kind of fixed their per user economics. Um, and it solved a lot of other things. And we were just, Justine, this is also when I asked Justine to come on as my co-founder, she was the best engineer, um, that I ever worked with at Shopify.She lived two blocks away and we were just, okay, we're just gonna get this done. Um, and we did, and so we helped them migrate and we just worked like hell over the next like month or two to make sure that we were never an issue. And that was, that was the cursor story. Yeah.swyx: And, and is code a different workload than normal text?I, I don't know. Is is it just text? Is it the same thing?Simon Hørup Eskildsen: Yeah, so cursor's workload is basically, they, um, they will embed the entire code base, right? So they, they will like chunk it up in whatever they would, they do. They have their own embedding model, um, which they've been public about. Um, and they find that on, on, on their evals.It. There's one of their evals where it's like a 25% improvement on a very particular workload. They have a bunch of blog posts about it. Um, I think it works best on larger code basis, but they've trained their own embedding model to do this. Um, and so you'll see it if you use the cursor agent, it will do searches.And they've also been public around, um, how they've, I think they post trained their model to be very good at semantic search as well. Um, and that's, that's how they use it. And so it's very good at, like, can you find me on the code that's similar to this, or code that does this? And just in, in this queries, they also use GR to supplement it.swyx: Yeah.Simon Hørup Eskildsen: Um, of courseswyx: it's been a big topic of discussion like, is rag dead because gr you know,Simon Hørup Eskildsen: and I mean like, I just, we, we see lots of demand from the coding company to ethicsswyx: search in every part. Yes.Simon Hørup Eskildsen: Uh, we, we, we see demand. And so, I mean, I'm. I like case studies. I don't like, like just doing like thought pieces on this is where it's going.And like trying to be all macroeconomic about ai, that's has turned out to be a giant waste of time because no one can really predict any of this. So I just collect case studies and I mean, cursor has done a great job talking about what they're doing and I hope some of the other coding labs that use Turbo Puffer will do the same.Um, but it does seem to make a difference for particular queries. Um, I mean we can also do text, we can also do RegX, but I should also say that cursors like security posture into Tur Puffer is exceptional, right? They have their own embedding model, which makes it very difficult to reverse engineer. They obfuscate the file paths.They like you. It's very difficult to learn anything about a code base by looking at it. And the other thing they do too is that for their customers, they encrypt it with their encryption keys in turbo puffer's bucket. Um, so it's, it's, it's really, really well designed.swyx: And so this is like extra stuff they did to work with you because you are not part of Cursor.Exactly like, and this is just best practice when working in any database, not just you guys. Okay. Yeah, that makes sense. Yeah. I think for me, like the, the, the learning is kind of like you, like all workloads are hybrid. Like, you know, uh, like you, you want the semantic, you want the text, you want the RegX, you want sql.I dunno. Um, but like, it's silly to like be all in on like one particularly query pattern.Simon Hørup Eskildsen: I think, like I really like the way that, um, um, that swally at cursor talks about it, which is, um, I'm gonna butcher it here. Um, and you know, I'm a, I'm a database scalability person. I'm not a, I, I dunno anything about training models other than, um, what the internet tells me and what.The way he describes is that this is just like cash compute, right? It's like you have a point in time where you're looking at some particular context and focused on some chunk and you say, this is the layer of the neural net at this point in time. That seems fundamentally really useful to do cash compute like that.And, um, how the value of that will change over time. I'm, I'm not sure, but there seems to be a lot of value in that.Alessio: Maybe talk a bit about the evolution of the workload, because even like search, like maybe two years ago it was like one search at the start of like an LLM query to build the context. Now you have a gentech search, however you wanna call it, where like the model is both writing and changing the code and it's searching it again later.Yeah. What are maybe some of the new types of workloads or like changes you've had to make to your architecture for it?Simon Hørup Eskildsen: I think you're right. When I think of rag, I think of, Hey, there's an 8,000 token, uh, context window and you better make it count. Um, and search was a way to do that now. Everything is moving towards the, just let the agent do its thing.Right? And so back to the thing before, right? The LLM is very good at reasoning with the data, and so we're just the tool call, right? And that's increasingly what we see our customers doing. Um, what we're seeing more demand from, from our customers now is to do a lot of concurrency, right? Like Notion does a ridiculous amount of queries in every round trip just because they can't.And I'm also now, when I use the cursor agent, I also see them doing more concurrency than I've ever seen before. So a bit similar to how we designed a database to drive as much concurrency in every round trip as possible. That's also what the agents are doing. So that's new. It means just an enormous amount of queries all at once to the dataset while it's warm in as few turns as possible.swyx: Can I clarify one thing on that?Simon Hørup Eskildsen: Yes.swyx: Is it, are they batching multiple users or one user is driving multiple,Simon Hørup Eskildsen: one user driving multiple, one agent driving.swyx: It's parallel searching a bunch of things.Simon Hørup Eskildsen: Exactly.swyx: Yeah. Yeah, exactly. So yeah, the clinician also did, did this for the fast context thing, like eight parallel at once.Simon Hørup Eskildsen: Yes.swyx: And, and like an interesting problem is, well, how do you make sure you have enough diversity so you're not making the the same request eight times?Simon Hørup Eskildsen: And I think like that's probably also where the hybrid comes in, where. That's another way to diversify. It's a completely different way to, to do the search.That's a big change, right? So before it was really just like one call and then, you know, the LLM took however many seconds to return, but now we just see an enormous amount of queries. So the, um, we just see more queries. So we've like tried to reduce query, we've reduced query pricing. Um, this is probably the first time actually I'm saying that, but the query pricing is being reduced, like five x.Um, and we'll probably try to reduce it even more to accommodate some of these workloads of just doing very large amounts of queries. Um, that's one thing that's changed. I think the right, the right ratio is still very high, right? Like there's still a, an enormous amount of rights per read, but we're starting probably to see that change if people really lean into this pattern.Alessio: Can we talk a little bit about the pricing? I'm curious, uh, because traditionally a database would charge on storage, but now you have the token generation that is so expensive, where like the actual. Value of like a good search query is like much higher because they're like saving inference time down the line.How do you structure that as like, what are people receptive to on the other side too?Simon Hørup Eskildsen: Yeah. I, the, the turbo puffer pricing in the beginning was just very simple. The pricing on these on for search engines before Turbo Puffer was very server full, right? It was like, here's the vm, here's the per hour cost, right?Great. And I just sat down with like a piece of paper and said like, if Turbo Puffer was like really good, this is probably what it would cost with a little bit of margin. And that was the first pricing of Turbo Puffer. And I just like sat down and I was like, okay, like this is like probably the storage amp, but whenever on a piece of paper I, it was vibe pricing.It was very vibe price, and I got it wrong. Oh. Um, well I didn't get it wrong, but like Turbo Puffer wasn't at the first principle pricing, right? So when Cursor came on Turbo Puffer, it was like. Like, I didn't know any VCs. I didn't know, like I was just like, I don't know, I didn't know anything about raising money or anything like that.I just saw that my GCP bill was, was high, was a lot higher than the cursor bill. So Justine and I was just like, well, we have to optimize it. Um, and I mean, to the chagrin now of, of it, of, of the VCs, it now means that we're profitable because we've had so much pricing pressure in the beginning. Because it was running on my credit card and Justine and I had spent like, like tens of thousands of dollars on like compute bills and like spinning off the company and like very like, like bad Canadian lawyers and like things like to like get all of this done because we just like, we didn't know.Right. If you're like steeped in San Francisco, you're just like, you just know. Okay. Like you go out, raise a pre-seed round. I, I never heard a word pre-seed at this point in time.swyx: When you had Cursor, you had Notion you, you had no funding.Simon Hørup Eskildsen: Um, with Cursor we had no funding. Yeah. Um, by the time we had Notion Locke was, Locke was here.Yeah. So it was really just, we vibe priced it 100% from first Principles, but it wasn't, it, it was not performing at first principles, so we just did everything we could to optimize it in the beginning for that, so that at least we could have like a 5% margin or something. So I wasn't freaking out because Cursor's bill was also going like this as they were growing.And so my liability and my credit limit was like actively like calling my bank. It was like, I need a bigger credit. Like it was, yeah. Anyway, that was the beginning. Yeah. But the pricing was, yeah, like storage rights and query. Right. And the, the pricing we have today is basically just that pricing with duct tape and spit to try to approach like, you know, like a, as a margin on the physical underlying hardware.And we're doing this year, you're gonna see more and more pricing changes from us. Yeah.swyx: And like is how much does stuff like VVC peering matter because you're working in AWS land where egress is charged and all that, you know.Simon Hørup Eskildsen: We probably don't like, we have like an enterprise plan that just has like a base fee because we haven't had time to figure out SKU pricing for all of this.Um, but I mean, yeah, you can run turbo puffer either in SaaS, right? That's what Cursor does. You can run it in a single tenant cluster. So it's just you. That's what Notion does. And then you can run it in, in, in BYOC where everything is inside the customer's VPC, that's what an for example, philanthropic does.swyx: What I'm hearing is that this is probably the best CRO job for somebody who can come in and,Simon Hørup Eskildsen: I mean,swyx: help you with this.Simon Hørup Eskildsen: Um, like Turbo Puffer hired, like, I don't know what, what number this was, but we had a full-time CFO as like the 12th hire or something at Turbo Puffer, um, I think I hear are a lot of comp.I don't know how they do it. Like they have a hundred employees and not a CFO. It's like having a CFO is like a runningswyx: business man. Like, you know,Simon Hørup Eskildsen: it's so good. Yeah, like money Mike, like he just, you know, just handles the money and a lot of the business stuff and so he came in and just hopped with a lot of the operational side of the business.So like C-O-O-C-F-O, like somewhere in between.swyx: Just as quick mention of Lucky, just ‘cause I'm curious, I've met Lock and like, he's obviously a very good investor and now on physical intelligence, um, I call it generalist super angel, right? He invests in everything. Um, and I always wonder like, you know, is there something appealing about focusing on developer tooling, focusing on databases, going like, I've invested for 10 years in databases versus being like a lock where he can maybe like connect you to all the customers that you need.Simon Hørup Eskildsen: This is an excellent question. No, no one's asked me this. Um, why lockey? Because. There was a couple of people that we were talking to at the time and when we were raising, we were almost a little, we were like a bit distressed because one of our, one of our peers had just launched something that was very similar to Turbo Puffer.And someone just gave me the advice at the time of just choose the person where you just feel like you can just pick up the phone and not prepare anything. And just be completely honest, and I don't think I've said this publicly before, but I just called Lockey and was like local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you.But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working. So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people and we're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards and.Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before. As I said, I didn't even know what a seed or pre-seed round was like before, probably even at this time. So I was just like very honest with him. And I asked him like, Lockie, have you ever have, have you ever invested in database company?He was just like, no. And at the time I was like, am I dumb? Like, but I think there was something that just like really drew me to Lockie. He is so authentic, so honest, like, and there was something just like, I just felt like I could just play like, just say everything openly. And that was, that was, I think that that was like a perfect match at the time, and, and, and honestly still is.He was just like, okay, that's great. This is like the most honest, ridiculous thing I've ever heard anyone say to me. But like that, like that, whyswyx: is this ridiculous? Say competitor launch, this may not work out. It wasSimon Hørup Eskildsen: more just like. If this doesn't work out, I'm gonna close up shop by the end of the mo the year, right?Like it was, I don't know, maybe it's common. I, I don't know. He told me it was uncommon. I don't know. Um, that's why we chose him and he'd been phenomenal. The other people were talking at the, at the time were database experts. Like they, you know, knew a lot about databases and Locke didn't, this turned out to be a phenomenal asset.Right. I like Justine and I know a lot about databases. The people that we hire know a lot about databases. What we needed was just someone who didn't know a lot about databases, didn't pretend to know a lot about databases, and just wanted to help us with candidates and customers. And he did. Yeah. And I have a list, right, of the investors that I have a relationship with, and Lockey has just performed excellent in the number of sub bullets of what we can attribute back to him.Just absolutely incredible. And when people talk about like no ego and just the best thing for the founder, I like, I don't think that anyone, like even my lawyer is like, yeah, Lockey is like the most friendly person you will find.swyx: Okay. This is my most glow recommendation I've ever heard.Alessio: He deserves it.He's very special.swyx: Yeah. Yeah. Yeah. Okay. Amazing.Alessio: Since you mentioned candidates, maybe we can talk about team building, you know, like, especially in sf, it feels like it's just easier to start a company than to join a company. Uh, I'm curious your experience, especially not being n SF full-time and doing something that is maybe, you know, a very low level of detail and technical detail.Simon Hørup Eskildsen: Yeah. So joining versus starting, I never thought that I would be a founder. I would start with it, like Turbo Puffer started as a blog post, and then it became a project and then sort of almost accidentally became a company. And now it feels like it's, it's like becoming a bigger company. That was never the intention.The intentions were very pure. It's just like, why hasn't anyone done this? And it's like, I wanna be the, like, I wanna be the first person to do it. I think some founders have this, like, I could never work for anyone else. I, I really don't feel that way. Like, it's just like, I wanna see this happen. And I wanna see it happen with some people that I really enjoy working with and I wanna have fun doing it and this, this, this has all felt very natural on that, on that sense.So it was never a like join versus versus versus found. It was just dis found me at the right moment.Alessio: Well I think there's an argument for, you should have joined Cursor, right? So I'm curious like how you evaluate it. Okay, I should actually go raise money and make this a company versus like, this is like a company that is like growing like crazy.It's like an interesting technical problem. I should just build it within Cursor and then they don't have to encrypt all this stuff. They don't have to obfuscate things. Like was that on your mind at all orSimon Hørup Eskildsen: before taking the, the small check from Lockie, I did have like a hard like look at myself in the mirror of like, okay, do I really want to do this?And because if I take the money, I really have to do it right. And so the way I almost think about it's like you kind of need to ha like you kind of need to be like fucked up enough to want to go all the way. And that was the conversation where I was like, okay, this is gonna be part of my life's journey to build this company and do it in the best way that I possibly can't.Because if I ask people to join me, ask people to get on the cap table, then I have an ultimate responsibility to give it everything. And I don't, I think some people, it doesn't occur to me that everyone takes it that seriously. And maybe I take it too seriously, I don't know. But that was like a very intentional moment.And so then it was very clear like, okay, I'm gonna do this and I'm gonna give it everything.Alessio: A lot of people don't take it this seriously. But,swyx: uh, let's talk about, you have this concept of the P 99 engineer. Uh, people are 10 x saying, everyone's saying, you know, uh, maybe engineers are out of a job. I don't know.But you definitely see a P 99 engineer, and I just want you to talk about it.Simon Hørup Eskildsen: Yeah, so the P 99 engineer was just a term that we started using internally to talk about candidates and talk about how we wanted to build the company. And you know, like everyone else is, like we want a talent dense company.And I think that's almost become trite at this point. What I credit the cursor founders a lot with is that they just arrived there from first principles of like, we just need a talent dense, um, talent dense team. And I think I've seen some teams that weren't talent dense and like seemed a counterfactual run, which if you've run in been in a large company, you will just see that like it's just logically will happen at a large company.Um, and so that was super important to me and Justine and it's very difficult to maintain. And so we just needed, we needed wording for it. And so I have a document called Traits of the P 99 Engineer, and it's a bullet point list. And I look at that list after every single interview that I do, and in every single recap that we do and every recap we end with.End with, um, some version of I'm gonna reject this candidate completely regardless of what the discourse was, because I wanna see people fight for this person because the default should not be, we're gonna hire this person. The default should be, we're definitely not hiring this person. And you know, if everyone was like, ah, maybe throw a punch, then this is not the right.swyx: Do, do you operate, like if there's one cha there must have at least one champion who's like, yes, I will put my career on, on, on the line for this. You know,Simon Hørup Eskildsen: I think career on the line,swyx: maybe a chair, butSimon Hørup Eskildsen: yeah. You know, like, um, I would say so someone needs to like, have both fists up and be like, I'd fight.Right? Yeah. Yeah. And if one person said, then, okay, let's do it. Right?swyx: Yeah.Simon Hørup Eskildsen: Um. It doesn't have to be absolutely everyone. Right? And like the interviews are always the sign that you're checking for different attributes. And if someone is like knocking it outta the park in every single attribute, that's, that's fairly rare.Um, but that's really important. And so the traits of the P 99 engineer, there's lots of them. There's also the traits of the p like triple nine engineer and the quadruple nine engineer. This is like, it's a long list.swyx: Okay.Simon Hørup Eskildsen: Um, I'll give you some samples, right. Of what we, what we look for. I think that the P 99 engineer has some history of having bent, like their trajectory or something to their will.Right? Some moment where it was just, they just, you know, made the computer do what it needed to do. There's something like that, and it will, it will occur to have them at some point in their career. And, uh. Hopefully multiple times. Right.swyx: Gimme an example of one of your engineers that like,Simon Hørup Eskildsen: I'll give an eng.Uh, so we, we, we launched this thing called A and NV three. Um, we could, we're also, we're working on V four and V five right now, but a and NV three can search a hundred billion vectors with a P 50 of around 40 milliseconds and a p 99 of 200 milliseconds. Um, maybe other people have done this, I'm sure Google and others have done this, but, uh, we haven't seen anyone, um, at least not in like a public consumable SaaS that can do this.And that was an engineer, the chief architect of Turbo Puffer, Nathan, um, who more or less just bent this, the software was not capable of this and he just made it capable for a very particular workload in like a, you know, six to eight week period with the help of a lot of the team. Right. It's been, been, there's numerous of examples of that, like at, at turbo puff, but that's like really bending the software and X 86 to your will.It was incredible to watch. Um. You wanna see some moments like that?swyx: Isn't that triple nine?Simon Hørup Eskildsen: Um, I think Nathan, what's calledAlessio: group nine, that was only nine. I feel like this is too high forSimon Hørup Eskildsen: Nathan. Nathan is, uh, Nathan is like, yeah, there's a lot of nines. Okay. After that p So I think that's one trait. I think another trait is that, uh, the P 99 spends a lot of time looking at maps.Generally it's their preferred ux. They just love looking at maps. You ever seen someone who just like, sits on their phone and just like, scrolls around on a map? Or did you not look at maps A lot? You guys don't look atswyx: maps? I guess I'm not feeling there. I don't know, butSimon Hørup Eskildsen: you just dis What about trains?Do you like trains?swyx: Uh, I mean they, not enough. Okay. This is just like weapon nice. Autism is what I call it. Like, like,Simon Hørup Eskildsen: um, I love looking at maps, like, it's like my preferred UX and just like I, you know, I likeswyx: lotsAlessio: of, of like random places, soswyx: like,youswyx: know.Alessio: Yes. Okay. There you go. So instead of like random places, like how do you explore the maps?Simon Hørup Eskildsen: No, it's, it's just a joke.swyx: It's autism laugh. It's like you are just obsessed by something and you like studying a thing.Simon Hørup Eskildsen: The origin of this was that at some point I read an interview with some IOI gold medalistswyx: Uhhuh,Simon Hørup Eskildsen: and it's like, what do you do in your spare time? I was just like, I like looking at maps.I was like, I feel so seen. Like, I just like love, like swirling out. I was like, oh, Canada is so big. Where's Baffin Island? I don't know. I love it. Yeah. Um, anyway, so the traits of P 99, P 99 is obsessive, right? Like, there's just like, you'll, you'll find traits of that we do an interview at, at, at, at turbo puffer or like multiple interviews that just try to screen for some of these things.Um, so. There's lots of others, but these are the kinds of traits that we look for.swyx: I'll tell you, uh, some people listen for like some of my dere stuff. Uh, I do think about derel as maps. Um, you draw a map for people, uh, maps show you the, uh, what is commonly agreed to be the geographical features of what a boundary is.And it shows also shows you what is not doing. And I, I think a lot of like developer tools, companies try to tell you they can do everything, but like, let's, let's be real. Like you, your, your three landmarks are here, everyone comes here, then here, then here, and you draw a map and, and then you draw a journey through the map.And like that. To me, that's what developer relations looks like. So I do think about things that way.Simon Hørup Eskildsen: I think the P 99 thinks in offs, right? The P 99 is very clear about, you know, hey, turbo puffer, you can't run a high transaction workload on turbo puffer, right? It's like the right latency is a hundred milliseconds.That's a clear trade off. I think the P 99 is very good at articulating the trade offs in every decision. Um. Which is exactly what the map is in your case, right?swyx: Uh, yeah, yeah. My, my, my world. My world.Alessio: How, how do you reconcile some of these things when you're saying you bend the will the computer versus like the trade

Got a question or comment? Message us here!A.I. conversations are everywhere ... but how can businesses realistically use it today? In this episode of Secure AF, we introduce Vector Pulse A.I. and discuss how A.I. can help organizations automate workflows, improve operational efficiency, and support smarter decision-making. We also dive into the growing excitement (and concerns) around A.I., common mistakes companies make when adopting it, and practical advice for leaders looking to explore A.I. responsibly.Support the showWatch full episodes at youtube.com/@aliascybersecurity.Listen on Apple Podcasts, Spotify and anywhere you get your podcasts.

Wow. Episode 100. What a genuinely impressive and momentous occasion, one that we certainly aren't taking lightly. So to celebrate this incredible milestone, we've decided to take things back to where they all began... No, not Sonic 1, we obviously did that already. No, we're taking things back to where WE all began. Before the podcast, before Sonic F, there were the Sonic Shorts collabs. A passion project helmed by animators on Newgrounds and YouTube, all of whom shared a love for that speedy little spike ball and a desire to share that love with the world (by making him run fast and crash into things). That's why we're looking back at the entire nearly 20 year history of Sonic Shorts with Sonic Paradox cofounders The Wax and Boozerman. We're not stopping there, though, not by a long shot. You'll also get to hear from many of the same artists and voices who have been part of the series, some dating back to the very first volume, to talk about their own history with SP and the shorts. It's a love letter to the project that brought us all together, one we couldn't be prouder to have been a part of, and we couldn't think of a better way to celebrate the big one-double-zero. Thanks for joining us for the last 100 episodes. Here's to 100 more. (0:01:00) Intro/Main topic: Sonic Shorts (0:06:57) Interview: Ter0nik (0:10:58) Sonic (Paradox) origins (0:17:02) Volume 1 (0:19:29) Interview: RGX (0:26:37) Volume 1 continued (0:30:51) Volume 2 (0:42:26) Volume 3 (0:478:26) Interview: Mahamarr (Gust198) (0:57:40) Volume 3 continued  (0:59:36) Interview: Lythero (Link3Kokiri) (1:07:46) Volume 3 continued (1:13:36) Volume 4 (1:14:30) Interview: Cacti (1:21:59) Volume 4 continued (1:27:51) Volume 5 (1:28:58) Interview: Paddy (AtomicBottle) (1:35:51) Volume 5 continued (1:37:57) Interview: Mystic Pyro Freak (1:42:56) Volume 5 continued  (1:47:36) Knuckles Briefs (1:51:05) George (Bit-Master) (2:02:39) Knuckles Briefs continued (2:04:30) Sonic Shits (2:10:13) Volume 6 (2:18:14) Volume 7 (2:23:00) Sonic Heroes musicals (2:24:05) Interview: RecD (2:35:35) Sonic Heroes continued (2:36:18) Sonic Shits 2 (2:38:33) Volume 8 (2:43:07) Interview: KaDoYuu  (2:52:09) Volume 8 continued  (2:53:15) Interview: Hieifireshadow (3:04:26) Volume 8 continued  (3:09:20) Graphicn8 (Surging PNSK) (3:11:43) Volume 8 continued  (3:12:17) Meetup, hiatus, and HD volumes (3:17:51) Vector's Knickers (3:25:06) Volume 9 (3:33:08) Volume 10 (3:39:30) Final thoughts (including what's next) (3:47:55) Outro  Featuring The Wax, Boozerman, Ter0nik, RGX, Mahamarr, Lythero, Cacti, Paddy, Mystic Pyro Freak, Bit-Master, RecD, KaDoYuu, Hieifireshadow, and Graphicn8 Amie Waters on Linktree Sonic Paradox on YouTube Sonic Shorts playlist Sonic Heroes: The Musical Sonic Legacy

Join us as Amelia shares the debugging story nobody tells you about - how her vector store DB couldn't surface specific data until she tested it with simplified data from ChatGPT. Amelia walks through her journey from throwing JIRA tickets into a large language model without understanding pipelines or data cleaning, to discovering why her production vector store was failing. You'll learn about the gap between chatting with data and getting accurate connections, how to validate vector similarity search results, the difference between production and synthetic test data, and practical troubleshooting workflows for AWS vector stores. This episode reveals the messy reality of RAG systems - when everything seems fine but the outputs are subtly wrong, and how testing with simplified data can expose what production complexity hides. Timestamps 0:00 Cold Open 1:03 Welcome & Introduction 2:06 Amelia's Background & DeepRacer Trophy 4:49 The JIRA Ticket Use Case Origin Story 5:53 Getting Into the Presentation 6:03 Accessing & Cleaning Data Sets 8:12 Losing Production Data & Recreating with ChatGPT 12:45 Understanding Vector Databases 18:22 How Embeddings Work 24:16 The Hallucination Discovery 30:41 Testing Strategies for Vector Stores 36:52 Debugging Vector Similarity Search 42:18 Real-World Troubleshooting Workflows 44:26 Where to Find Amelia & Wrap-up How to find Amelia: https://www.linkedin.com/in/ameliahoughross/

¿Tu servidor Linux se comporta de forma extraña y no sabes por qué? En este episodio de Atareao con Linux, Lorenzo nos sumerge en el fascinante (y a veces temido) mundo de los logs, específicamente aplicados a la migración de Docker a Podman.Descubre por qué delegar la gestión de registros en JournalD es la decisión más inteligente que puedes tomar para la estabilidad de tu infraestructura. Lorenzo comparte cómo configurar los límites de almacenamiento para evitar que un contenedor descontrolado sature tu disco duro, una lección aprendida tras años de lidiar con los archivos de texto de Docker.Puntos clave del episodio:00:00:00 - Introducción a la recta final de la serie Podman.00:03:41 - El papel de la IA y Gemini en la interpretación de errores.00:05:12 - Configuración de JournalD y límites de persistencia.00:10:46 - Scripts personalizados: checkQuadlets y JCU para mejorar la visibilidad.00:14:06 - Observabilidad avanzada con Vector y OpenObserve.00:16:10 - Cómo ser reactivo y bloquear ataques usando los registros de acceso.Además de la configuración técnica, Lorenzo nos presenta herramientas prácticas de su propio flujo de trabajo, como el uso de bat para el resaltado de sintaxis en logs y cómo automatizar reportes de salud para tus servicios. Si quieres transformar tus aburridos registros en una herramienta de seguridad activa capaz de enviar notificaciones a Telegram o bloquear IPs maliciosas directamente en el proxy, no puedes perderte este cierre de serie.Recuerda que puedes encontrar todos los scripts y notas detalladas en atareao.es. ¡Acompañanos en este viaje hacia la maestría en contenedores!Más información y enlaces en las notas del episodio

Na een lekker weekend is het tijd voor een nieuwe werkweek. Het is aan het driemanschap Boris, Jasper en Koos om de verse werkdagen in te luiden. Drie heren die allemaal goed van de tongriem gesneden zijn. Het vocaal inluiden gebeurt middels een nieuwe aflevering van Brievenmaandag. Vragen zijn er volop. Bijvoorbeeld waarom de plotselinge veranderingen aan de nieuwe Assetto Corsa, wat de juiste mascotte zou zijn voor PlayStation en wat we vinden van gamen op een beamer. Je krijgt de antwoorden op deze prangende vragen en meer in de Brievenmaandag van maandag 2 maart 2026.Wat is de ideale mascotte voor PlayStation?We hebben de afgelopen maanden regelmatig vragen gehad van communityleden die op vakantie gingen naar Tokyo en van ons wilden weten welke toffe zaken ze daar konden doen. Vandaar dat we de Guide to Tokyo hebben gemaakt. Maar nu is er een vraag die de omgekeerde weg hanteert. Iemand uit de community die woonachtig is in Japan komt hier naartoe met zijn Japanse vrouw en baby. Wat moet hij hier gaan doen? Hebben we tips? Vooral voor babyvriendelijke activiteiten. Weten de drie een behulpzaam antwoord te geven op deze vraag? Je merkt het als je deze video bekijkt of beluistert.Zijn we allemaal NPC's in een computer simulatie?Iemand vraagt wat een goede mascotte, vergelijkbaar met Mario, zou kunnen zijn die PlayStation goed kan vermarkten? Astro Bot lijkt het te zijn momenteel, maar die is toch erg gezichtsloos? Of zijn we een andere mening toegedaan? En, als Boris erbij zit, dan weet je dat er altijd wel een conspiracy-driven vraag bij zit. Zo wil iemand weten of hij denkt dat we NPC's zijn en als zodanig geboren worden? Je-weet-wel, de computersimulatie waar we in zitten. Wat is Boris' antwoord hierop en hebben Jasper en Koos hier ook enige input voor handen?Schaf de Vector 16 HX gaming laptop aan en krijg er Resident Evil Requiem gratis bijMSI showt deze week de Vector 16 HX. Het betreft een gaming laptop met daarin een Intel Core Ultra 7 (Series 2) processor, een NVIDIA GeForce RTX 5070 Ti GPU, een 1TB SSD, een 16” 240Hz QHD display, 24-zone RGB toetsenbord en een Thunderbolt 5 aansluiting. Deze pittige laptop is nu hier bij MeGekko verkrijgbaar voor een scherpe prijs én je krijgt er ook nog eens Resident Evil Requiem bij. En je hebt de review gezien …

Would you like to take your search in SQL Server to the next level? In this episode, check out how to use vector search, securely built into SQL Server 2025. #sqlserver2025 #sqlai Chapters 00:00 - Introduction 01:10 - Evolution of SQL 02:44 - Intelligent searching with SQL and AI 06:16 - Model definition 08:55 - Generate embeddings 13:19 - Vector index 15:25 - Vector Search 17:50 - Azure OpenAI 19:36 - Wrap up Recommended resources Announcement Sign-up Learn Docs Product page Connect Scott Hanselman | Twitter/X: @SHanselman Bob Ward | Twitter/X: @bobwardms Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Would you like to take your search in SQL Server to the next level? In this episode, check out how to use vector search, securely built into SQL Server 2025. #sqlserver2025 #sqlai Chapters 00:00 - Introduction 01:10 - Evolution of SQL 02:44 - Intelligent searching with SQL and AI 06:16 - Model definition 08:55 - Generate embeddings 13:19 - Vector index 15:25 - Vector Search 17:50 - Azure OpenAI 19:36 - Wrap up Recommended resources Announcement Sign-up Learn Docs Product page Connect Scott Hanselman | Twitter/X: @SHanselman Bob Ward | Twitter/X: @bobwardms Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

Don't forget to share the good vibes by smashing that like button! Tracklist (Time - Title - Artist - Label): 00:00:00 - Fix - Author - Tectonic 00:06:25 - Skylark - Perverse - Innamind Recordings 00:10:17 - Tek-1 - Nanobyte - Innamind Recordings 00:14:31 - Cuban Links - Elizrae - Heiwa Beats 00:18:37 - Type AB - SPE:C - SPE:C 00:23:39 - Mahdi - Mystic State - Artikal Music UK 00:29:09 - Hunted - SP:MC & LX ONE - Tempa 00:33:43 - Pentagon VIP - Biome - New Moon Recordings 00:39:12 - Vector Eyes - KiloWatts - KiloWatts Music 00:45:41 - Gracie - Dharma - R&S Records 00:52:50 - All I Want - Bodhi - Hotflush Recordings 00:57:18 - Sun - Author - Tectonic 01:02:22 - Helter Skelter - Kahn - Punch Drunk Records 01:05:31 - The Vision (Breathe in) - Joker feat. Jessie Ware - 4AD Want to discover more awesome tunes? Already 333 episodes to date presenting more than 3000 different tracks and counting...Just subscribe to get your weekly fix of fine selected electronic music. New set every Sunday or so Available on Youtube, Soundcloud, Apple Podcasts, Google Podcasts and more. All details at https://atchawalker.com #djset #chill #bass music #deep dubstep continuer la lecture

Deze talkshow wordt mede mogelijk gemaakt door MSI. Alle meningen in deze video zijn onze eigen. MSI heeft inhoudelijk geen inspraak op de content en zien de video net als jullie hier voor het eerst op de site.Drie heren zitten er klaar voor in de studio van Gamekings. We hebben het over Daan, JJ en Koos. Gedrieën luiden ze het weekend voor je in met een nieuwe editie van Einde van de Week Live. EvdWL is de talkshow waarin we wekelijks het belangrijkste game gerelateerde nieuws doornemen. Met dit keer onder andere nieuws over Marvel's Wolverine, de releasedatum van GTA 6, Assassin's Creed, de chaos bij Xbox en de GaaS titel van PlayStation, Fairgame$. Dit en nog veel meer onderwerpen komen voorbij in de Einde van de Week Live van vrijdag 26 februari.Marvel's Wolverine komt 15 september uitIn deze aflevering wordt naast Wolverine en Assassin's Creed ook gesproken over de ontslagen die gevallen zijn bij de studio achter de game Skate, het gerucht dat Bluepoint wilde werken aan een Bloodborne remake maar dat PlayStation dat niet wilde dit feestjaar en een opmerkelijk patent van Sony.Schaf de Vector 16 HX gaming laptop aan en krijg er Resident Evil Requiem gratis bijMSI showt deze week de Vector 16 HX. Het betreft een gaming laptop met daarin een Intel Core Ultra 7 (Series 2) processor, een NVIDIA GeForce RTX 5070 Ti GPU, een 1TB SSD, een 16” 240Hz QHD display, 24-zone RGB toetsenbord en een Thunderbolt 5 aansluiting. Deze pittige laptop is nu bij MeGekko verkrijgbaar voor een scherpe prijs én je krijgt er ook nog eens Resident Evil Requiem bij. En je hebt de review gezien …Speel vanaf 27 februari het gruwelijke Resident Evil RequiemHet zijn momenteel hoogtijdagen voor de ouderwetse gamer. De gamer die van goede single player games houdt met uitdagende actie en een sterk verhaal. Crimson Desert komt eraan, Nioh 3 is net uit en aanstaande donderdag is het tijd voor de release van Resident Evil Requiem. Het negende deel van de beruchte franchise van Capcom, staat klaar om je de stuipen op het lijf te jagen. Aanstaande woensdag hebben we vanaf 16:00 de review voor je klaarstaan.Stap nu over op KPN internet en krijg een Switch 2 of PS5 cadeauVanaf deze week heeft KPN een actie lopen die je als weldenkend gamer bijna niet links kunt laten liggen. Als je namelijk overstapt naar KPN internet en een tweejarig abonnement afneemt, kun je als welkomstcadeau kiezen uit een Switch 2 of een PS5. En we weten dat veel mensen nog een Switch 2 willen halen. Plus de gamers die in november GTA 6 willen spelen en nog geen PS5 hebben; die zijn ook erg gebaat bij deze actie. Hier vind je alle info, de voorwaarden en de plek om deze deal te sluiten. En oh ja, glasvezel is natuurlijk de beste optie (als die tenminste bij jou in de straat ligt). Heb je geen lag meer en op sommige plekken tot 4 g/bit up snelheden. Wel zo fijn als je onbekommerd wil gamen.

As part of community-driven interventions on vector control, the Environmental Health Division held a road show in Dennery, where community members were provided information on the control and management of vectors such as mosquitoes and rodents. Community members were also engaged through demonstrations on how to identify and treat mosquito breeding sites. The roadshow in the community is very important as residents will get information on ways to prevent and eliminate vector breeding sites. Residents of Dennery were sensitized on ways to reduce the mosquito and rodent breeding sites in their community and also presented with brochures and items such mosquito repellents and larvicides to kill mosquito larvae.

De volta ao vira o grande artista gráfico - e um dos mais queridos desenhistas - e por que não, intérpretes - do Brasil, Cristiano Siqueira, ou, para os íntimos, Cris Vector! (Mais queridos...bem: dependendo de que lado você estiver. No caso, o correto).Cris chega lançando sua nova obra, e vem, como sempre, com comentários repletos de consciência e inserção política, que permeiam seu trabalho sem recair no mero chavão ou pleitear o puro engajamento por comodismo.Com atuação forte nas redes sociais, o artista comenta a lógica da comunicação atual, a arte engajada/alienada dos dias de hoje e suas exigências, o trânsito pela linguagem 'oficial' dos memes e, claro, o que a Inteligência Artificial e sua mudança de paradigmas nos oferecem.  Programaço! Taca play que é ouro:COMPRE O NOVO LIVRO DO CRIS, "Apocalipse ilustrado" !! --> AQUIVEM DE INSIDER! Vem de cupom progressivo: mete VIRACASACAS na hora da compra que não tem erro! Descontos que podem acumular para os produtos que você já aprendeu a não viver sem! #insiderstore ExpedientePai-Fundador e apresentador: Felipe AbalOutro apresentador: Gabriel Divan Apresentador que está em missão secreta: CarapanãCapas que vocês adoram: Gui ToscanEdição de Áudio que nunca falha: Ingrid DutraA Mestra dos Instagrams: Dani BoscattoMúsica de abertura: Dog Fast by mobigratis  

We push past rankings and traffic to map the real skills SEOs need to influence AI answers. Duane Forrester explains the machine layer, vector embeddings, semantic density, and why structured data is a must if you want reliable retrieval.• AI reshapes marketing and elevates SEO's role across the business• Good SEO foundations as the prerequisite for AI performance• Writing for chunks with high semantic density• Structured data and entity clarity to validate facts• Vector embeddings as the new alignment target• KPIs beyond rankings: retrieval confidence and zero‑click presence• Why LLMs.txt lacks adoption and what matters instead• Practical tracking of AI answers and trend analysis• The gap between search engines and LLM information retrieval• Learning paths to keep pace with faster platform updatesGuest Contact Information: Website: duaneforrester.comLinkedIn: linkedin.com/in/dforresterTwitter/X: x.com/DuaneForresterMore from EWR and Matthew:Leave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show

As vehicles transition into software‑defined platforms, the complexity of integrating operating systems, middleware, and application layers has increased dramatically. QNX, a division of BlackBerry, focuses on solving these challenges through secure, reliable, and high‑performance embedded software. Its technology is deployed in hundreds of millions of vehicles worldwide, supporting systems that require stability, safety, and predictable behavior. With the introduction of Alloy Kore, QNX expands its role by offering a foundational software platform designed to streamline integration and accelerate development for modern automakers.The rise of software‑defined architectures has created new demands on engineering teams. Software now originates from multiple vendors, spans numerous domains, and must operate cohesively across the entire vehicle. This complexity has contributed to delayed vehicle programs, increased development costs, and a growing number of software‑related recalls. Alloy Kore was developed to address these challenges by providing a unified foundation that reduces fragmentation and supports consistent, reliable performance.Engineered for Integration and Long‑Term StabilityAlloy Kore serves as a foundational layer that manages the essential software infrastructure of the vehicle. It integrates the QNX operating system with automotive middleware from Vector, creating a cohesive environment that reduces the burden on automakers. Rather than stitching together disparate components, manufacturers can rely on a platform engineered specifically for integration, verification, and long‑term stability.This approach allows development teams to focus on the application layer, where user experience, personalization, and vehicle‑specific innovation occur. By offloading foundational complexity to a purpose‑built platform, automakers can allocate engineering resources more effectively and reduce the risk of delays caused by low‑level software issues. Alloy Kore supports the performance, safety, and security requirements expected in modern vehicles while providing a consistent base for future development.Supporting the Shift to Software‑Defined MobilityThe automotive industry is undergoing a significant transformation as vehicles become increasingly dependent on software for functionality, safety, and user experience. Alloy Kore supports this transition by offering a stable, scalable foundation that can evolve alongside new technologies. The platform is designed to accommodate the growing number of software components, sensors, and connectivity features that define next‑generation vehicles.By addressing integration challenges early in the development process, Alloy Kore helps reduce downstream issues that can lead to costly recalls or delayed launches. The platform's architecture supports predictable behavior, enabling automakers to build advanced features with confidence. This stability is essential as vehicles incorporate more complex driver‑assistance systems, connected services, and personalized digital experiences.Industry Adoption and Collaborative DevelopmentThe introduction of Alloy Kore has already gained traction within the automotive industry. Mercedes‑Benz has been announced as the first customer for the platform, demonstrating its relevance to manufacturers seeking to modernize their software strategies. The collaboration between QNX and Vector reflects a shared commitment to addressing industry‑wide challenges through a unified, purpose‑built solution.The platform's launch at CES highlights the growing recognition of software as a central component of vehicle development. Automakers increasingly view foundational software as a critical factor in achieving faster time‑to‑market, improved reliability, and enhanced user experience. Alloy Kore provides a structured path toward these goals by offering a stable base that supports innovation without compromising safety or performance.ConclusionQNX advances the future of automotive software through Alloy Kore, a foundational platform designed to simplify integration, improve reliability, and accelerate development. By combining secure operating system technology with automotive middleware, the platform addresses the complexity of modern vehicle software and supports the transition to software‑defined architectures. As automakers continue to innovate, solutions like Alloy Kore will play a central role in enabling efficient development and delivering the advanced features expected in next‑generation vehicles.Interview by Scott Ertz of F5 Live: Refreshing Technology.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. Secure your connection and unlock a faster, safer internet by signing up for PureVPN today.

As vehicles transition into software‑defined platforms, the complexity of integrating operating systems, middleware, and application layers has increased dramatically. QNX, a division of BlackBerry, focuses on solving these challenges through secure, reliable, and high‑performance embedded software. Its technology is deployed in hundreds of millions of vehicles worldwide, supporting systems that require stability, safety, and predictable behavior. With the introduction of Alloy Kore, QNX expands its role by offering a foundational software platform designed to streamline integration and accelerate development for modern automakers.The rise of software‑defined architectures has created new demands on engineering teams. Software now originates from multiple vendors, spans numerous domains, and must operate cohesively across the entire vehicle. This complexity has contributed to delayed vehicle programs, increased development costs, and a growing number of software‑related recalls. Alloy Kore was developed to address these challenges by providing a unified foundation that reduces fragmentation and supports consistent, reliable performance.Engineered for Integration and Long‑Term StabilityAlloy Kore serves as a foundational layer that manages the essential software infrastructure of the vehicle. It integrates the QNX operating system with automotive middleware from Vector, creating a cohesive environment that reduces the burden on automakers. Rather than stitching together disparate components, manufacturers can rely on a platform engineered specifically for integration, verification, and long‑term stability.This approach allows development teams to focus on the application layer, where user experience, personalization, and vehicle‑specific innovation occur. By offloading foundational complexity to a purpose‑built platform, automakers can allocate engineering resources more effectively and reduce the risk of delays caused by low‑level software issues. Alloy Kore supports the performance, safety, and security requirements expected in modern vehicles while providing a consistent base for future development.Supporting the Shift to Software‑Defined MobilityThe automotive industry is undergoing a significant transformation as vehicles become increasingly dependent on software for functionality, safety, and user experience. Alloy Kore supports this transition by offering a stable, scalable foundation that can evolve alongside new technologies. The platform is designed to accommodate the growing number of software components, sensors, and connectivity features that define next‑generation vehicles.By addressing integration challenges early in the development process, Alloy Kore helps reduce downstream issues that can lead to costly recalls or delayed launches. The platform's architecture supports predictable behavior, enabling automakers to build advanced features with confidence. This stability is essential as vehicles incorporate more complex driver‑assistance systems, connected services, and personalized digital experiences.Industry Adoption and Collaborative DevelopmentThe introduction of Alloy Kore has already gained traction within the automotive industry. Mercedes‑Benz has been announced as the first customer for the platform, demonstrating its relevance to manufacturers seeking to modernize their software strategies. The collaboration between QNX and Vector reflects a shared commitment to addressing industry‑wide challenges through a unified, purpose‑built solution.The platform's launch at CES highlights the growing recognition of software as a central component of vehicle development. Automakers increasingly view foundational software as a critical factor in achieving faster time‑to‑market, improved reliability, and enhanced user experience. Alloy Kore provides a structured path toward these goals by offering a stable base that supports innovation without compromising safety or performance.ConclusionQNX advances the future of automotive software through Alloy Kore, a foundational platform designed to simplify integration, improve reliability, and accelerate development. By combining secure operating system technology with automotive middleware, the platform addresses the complexity of modern vehicle software and supports the transition to software‑defined architectures. As automakers continue to innovate, solutions like Alloy Kore will play a central role in enabling efficient development and delivering the advanced features expected in next‑generation vehicles.Interview by Scott Ertz of F5 Live: Refreshing Technology.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. Secure your connection and unlock a faster, safer internet by signing up for PureVPN today.

In this episode of The Effortless Podcast, Dheeraj Pandey speaks with Dr. Abhishek Bhowmick about how quantum mechanics reshaped our understanding of determinism and why that shift matters for AI today.  From the Einstein–Bohr debates to the idea that nature is fundamentally probabilistic, they explore how the collapse of “if-then” thinking began nearly a century ago. The discussion draws parallels between quantum superposition and modern LLM behavior. At its core, the episode reframes AI as a rediscovery of how reality computes. The conversation then moves from physics to computing architecture, tracing the evolution from scalar CPUs to GPUs, TPUs, tensors, and eventually quantum computing. They examine why probabilistic systems and vector math feel more natural than purely deterministic software. Hybrid computing models show that classical systems still matter. The episode also unpacks what quantum computers are truly good at, especially in cryptography and simulation. Ultimately, it reflects on whether the future of computing lies in embracing probability rather than resisting it. Key Topics & Timestamps 00:00 – Welcome, context, and how Dheeraj & Abhishek met 04:00 – Abhishek's journey: IIT, Princeton, Apple, Snowflake 08:00 – The 1927 Solvay Conference and physics at a crossroads 12:00 – Einstein vs. Bohr: determinism vs. probability 16:00 – Superposition and the collapse of the wave function 20:00 – Fields vs. particles: what is an electron really? 25:00 – Matter particles, force particles, and the Standard Model 30:00 – Transistors, voltage, and the rise of deterministic computing 35:00 – From scalar CPUs to vectors and matrices 40:00 – Tensors, linear algebra, and modern AI systems 45:00 – Principle of Least Action and gradient descent parallels 50:00 – Hallucinations, probability mass, and LLM behavior 55:00 – Vector databases, embeddings, and KNN search 59:00 – GPUs vs. TPUs: matrix vs. tensor architectures 1:05:00 – What quantum computers are actually good at 1:10:00 – Post-quantum cryptography and the future of computing Host -  Dheeraj Pandey Co-founder & CEO at DevRev. Former Co-founder & CEO of Nutanix. A systems thinker and product visionary focused on AI, software architecture, and the future of work. Guest -  Dr Abhishek Bhowmick                                                                                                                                                                                                                Co-Founder and CTO of Samooha, a secure data collaboration platform acquired by Snowflake. He previously worked at Apple as Head of ML Privacy and Cryptography, System Intelligence, and Machine Learning, and earlier at Goldman Sachs. He attended Princeton University and was awarded IIT Kanpur's Young Alumnus Award in 2024. Follow the Host and Guest - Dheeraj Pandey: LinkedIn - https://www.linkedin.com/in/dpandey Twitter - https://x.com/dheeraj Abhishek Bhowmik  LinkedIn –  https://www.linkedin.com/in/ab-abhishek-bhowmick Twitter/X – https://x.com/bhowmick_ab Share Your Thoughts Have questions, comments, or ideas for future episodes?

Michael and Jake discuss Jake's device charging chaos, household optimisation, international power outlets, and vector embeddings.Show linksGitryinMagnetic 3-in-1 wireless chargerDesktop charging station 12-in-1Corona dischargeLaracon US ElevenLabsDaily Dose of DS (Data Science)MstyRetrieval-Augmented Generation (RAG)Laravel AI

CyberArk founder and executive chairman Udi Mokady returns to Security Matters at a transformational moment—now as part of Palo Alto Networks, following the acquisition's close on February 11. In this far‑reaching conversation, Udi and host David Puner explore why identity has become the attack vector for modern enterprises, driven by an unprecedented surge in human, machine and AI‑powered identities that attackers increasingly exploit.Udi discusses what the combined companies' scale and capabilities mean for customers, why identity security must now operate as frontline defense rather than a management layer, and how AI agents are rapidly reshaping the threat landscape. He also reflects on CyberArk's long‑distance entrepreneurial journey, the cultural foundations that have made the company durable over 26 years, and how productive paranoia, innovation and trust continue to guide the mission forward inside Palo Alto Networks.Note: This episode was recorded in January, prior to the acquisition's close.

In this episode, we dive into why most online stores lose money because of poor search bars and how to fix it.Paulius Nagys, Co-founder of LupaSearch, explains how modern shoppers have very little patience when they can't find what they want. He shares how AI-powered search understands what a person actually means, even if they use the wrong words.You will also learn how to use search data to predict what customers will want next and how to turn your search bar into a powerful tool for more sales.Topics discussed in this episode:  How the "patience gap" kills revenue. Why keyword search is now a commodity. What AI does to match search intent. How search bars act as feedback channels. Why vector search beats simple keywords. How seasonal trends impact search results. What complex catalogs need to convert. Why "symptom search" helps pharmacies sell How real data simulations prove ROI. What the future holds for AI adoption. Links & Resources Website: https://www.lupasearch.com/ LinkedIn: https://www.linkedin.com/company/lupasearchX/Twitter: https://x.com/LupaSearchGet access to more free resources by visiting the show notes at https://tinyurl.com/mw2nekyxI'd love your feedback. Tap the the link to send me a text.______________________________________________________ LOVE THE SHOW? HERE ARE THE NEXT STEPS! Follow the podcast to get every bonus episode. Tap follow now and don't miss out! Rate & Review: Help others discover the show by rating the show on Apple Podcasts at https://tinyurl.com/ecb-apple-podcasts Join our Free Newsletter: https://newsletter.ecommercecoffeebreak.com/ Support The Show On Patreon: https://www.patreon.com/EcommerceCoffeeBreak Partner with us: https://ecommercecoffeebreak.com/partner-with-us/

- China to Ban Yoke Steering Wheels and Mandate Physical Buttons - Trump Administration Eliminates EPA Endangerment Finding in Historic Deregulation - Rivian Stock Surges 25% On 2026 Growth Guidance Despite 2025 Revenue Slump - Waymo Rolls Out 6th-Gen AV Tech Stack Targeting 1 Million Weekly Rides - Canada's Project Arrow Debuts Next-Gen EV Prototypes - Maextro S800 Outsells Mercedes-Maybach and BMW 7 Series in China - White House Considers Lowering Steel and Aluminum Tariffs to Ease Auto Manufacturing Costs - Mercedes-Benz To Sell Daimler Truck Stake to Boost Finances After 50% Profit Drop

- China to Ban Yoke Steering Wheels and Mandate Physical Buttons - Trump Administration Eliminates EPA Endangerment Finding in Historic Deregulation - Rivian Stock Surges 25% On 2026 Growth Guidance Despite 2025 Revenue Slump - Waymo Rolls Out 6th-Gen AV Tech Stack Targeting 1 Million Weekly Rides - Canada's Project Arrow Debuts Next-Gen EV Prototypes - Maextro S800 Outsells Mercedes-Maybach and BMW 7 Series in China - White House Considers Lowering Steel and Aluminum Tariffs to Ease Auto Manufacturing Costs - Mercedes-Benz To Sell Daimler Truck Stake to Boost Finances After 50% Profit Drop

Deze talkshow wordt mede mogelijk gemaakt door MSI. Alle meningen in deze video zijn onze eigen. MSI heeft inhoudelijk geen inspraak op de content en zien de video net als jullie hier voor het eerst op de site.Het is tijd om het weekend feestelijk in te luiden. We hebben de vrije dagen met z'n allen verdiend. Dat inluiden doen we met een verse editie van Einde van de Week Live. De talkshow waarin we elke week het belangrijkste game gerelateerde nieuws met jullie doornemen. Vandaag zitten Huey, JJ en Koos achter de desk. Never change a winning team immers. Het hoofddeel van deze aflevering draait om de PlayStation State of Play die op donderdagavond werd uitgezonden. Vooraf werd gesteld dat dit de langste editie ooit zou gaan worden. Lang kan leuk zijn, maar als de games en de trailers tegenvallen, dan kan lang ook saai worden. Wat is het geworden? Wat waren de beste aankondigingen van de avond? Je krijgt het antwoord in de Einde van de Week Live van vrijdag 13 februari 2026.Alle hoogte- en dieptepunten van de PlayStation State of Play op een rijIn ander nieuws praten de heren ook over de nieuwe Silent Hill die mogelijk sneller komt dan verwacht, de prima verkoopcijfers van Nioh 3, Kingdom Come Deliverance II en Lies of P, de controverse rond het tweede seizoen van Battlefield 6 en een crimineel die baalt omdat hij de bak in moet en dus niet GTA 6 kan spelen.Krijg 200 euro korting + Resident Evil Requiem bij aanschaf van de Vector 16HX AI gaming laptopMSI zet deze week de Vector 16 HX AI in het zonnetje. Deze gaming laptop is goed krachtig dankzij een Intel Core Ultra 9 processor, een NVIDIA GeForce RTX 5080, een 240Hz QHD+ display, een 1TB SSD en een 24-zone RGB toetsenbord. Deze laptop is hier bij Informatique te koop met 200 euro korting. Plus je krijgt er Resident Evil Requiem bij.Scoor kaarten voor het concert van de Zweedse metal sensatie Avatar in de Ziggo DomeOp vrijdag 20 februari gaat de Zweedse metalband Avatar de Ziggo Dome zwaar op zijn grondvesten doen schudden.  Na een reeks shows in de zomer van 2025 met metalhelden Iron Maiden, brengt de Zweedse band een vernieuwde liveproductie vol nummers van vroeger en nu naar Amsterdam. De band heeft aangekondigd al hun vorige grenzen te willen doorbreken. Neem je stoelriemen dus maar mee. Wil je bij dit concert aanwezig zijn, dan kun je hier de kaarten kopen.

Got a question or comment? Message us here!Romance scams spike around Valentine's Day ... and they're more dangerous than you think. In this episode, we break down how scammers build emotional trust, isolate victims, and turn relationships into financial and emotional traps. Learn the warning signs, the psychology behind the scams, and how to protect yourself and the people you love

Episode 157 of the Taproom Podcast: host Mike sits down with Jasper Gallardo of Bottle Logic Brewing for an inside look at his journey from canning-line work to head brewer. Jasper shares how mentorship, self-study and hands-on learning during COVID led him into brewing, his time at Harlan Brewing, and his return to Bottle Logic to lead R&D and production growth. Topics include recipe development (from Italian pilsners to double-mashed outs), balancing core beers with experimental and barrel-aged releases, running a pilot system, beer naming and label art, and the brewery's national expansion and recent collabs (including visits to Firestone Walker, Vector, Windmill, Celestial and False Idol). Jasper also discusses his love of coffee, favorite beers to keep stocked, brewing playlists, hangover cures, and the team-focused leadership approach that guides his work. Listeners can expect behind-the-scenes brewing stories, practical notes on consistency and QA/QC, insights into market strategy for different regions, and a candid conversation about passion, creativity and the craft beer community.

Episodio 970 de Contralínea En Vivo conducido por Aníbal García y Anahí del Ángel: -OIC investiga conflicto de interés encaso Vector-CNBV- Transmisión 10 de noviembre de 2025 CONTRALÍNEA EN VIVO se transmite de lunes a viernes a partir de las 10:00hrs (hora del centro de México) a través de Facebook live, YouTube y Telegram. La MESA DE ECONOMÍA POLÍTICA se trasmite todos los lunes a partir de las 14:00hrs. Nuestro programa de análisis, AMÉRICA INSUMISA, se trasmite los martes a partir de las 14hrs. AGENDA DE SEGURIDAD NACIONAL es los miércoles a partir de las 14:00hrs Estamos en Facebook, YouTube, Twitter, TikTok, Instagram, Whatsapp y Telegram como Contralínea. Escúchanos en Spotify, Apple Podcast e Ivoox como Contralínea Audio.

This week on The Beat, CTSNet Editor-in-Chief Joel Dunning spoke with Dr. Louise Kenny, a consultant pediatric and adult congenital cardiothoracic and transplant surgeon at Freeman Hospital in Newcastle upon Tyne, England, about congenital heart transplants. Chapters 00:00 Intro 02:24 JANS 1, VECTOR Procedure 07:38 JANS 2, Combined Inflation & Cooling 08:26 JANS 3, Caring for VIP Patients 11:43 JANS 4, Country Wealth & Min Inv Correlation 12:57 Career Center 13:37 Video 1, Debranching AAV Step-by-Step 15:14 Video 2, Abramson Technique 16:59 Video 3, Min Inv Cardiac w Dr. Chitwood 18:54 Dr. Kenny, DCD-HOPE Congenital Transplant 31:58 CKD & CSA-AKI Podcast Episode 34:12 Upcoming Events 35:13 Closing They discussed the complexities surrounding congenital heart transplants, donation after brain death (DBD), and donation after circulatory death (DCD). They also explored the benefits of hypothermic oxygenated perfusion (HOPE) for children, particularly in DCD pediatrics patients, and highlighted the first case where this model was used. Additionally, they examined the future of HOPE and its potential for more complex procedures. Moreover, they discussed implanting ventricular assist devices (VAD) in children, along with what other countries are doing regarding congenital heart transplants, including ongoing studies in this field.    Joel also highlights recent JANS articles on the first human VECTOR procedure for percutaneous aorto-coronary bypass graft to prevent coronary obstruction following TAVR, combined inflation and cooling method improves lung function in uncontrolled donation after circulatory death, caring for VIP patients in cardiothoracic surgery, and the national wealth and the global spread of minimally invasive thoracic surgery.  In addition, Joel explores a step-by-step guide for debranching of aortic arch vessels through a cervical approach for aortic arch aneurysm, a master class with Horacio Abramson on the Abramson technique, and an episode of The Atrium podcast featuring host Dr. Alice Copperwheat speaking with Dr. Randolph Chitwood about the future of minimally invasive cardiac surgery. Before closing, Joel highlights upcoming events in CT surgery.    JANS Items Mentioned  1.) Percutaneous Aorto-Coronary Bypass Graft to Prevent Coronary Obstruction Following TAVR: First Human VECTOR Procedure  2.) Combined Inflation and Cooling Method Improves Lung Function in Uncontrolled Donation After Circulatory Death  3.) Caring for VIP Patients in Cardiothoracic Surgery: Navigating Bias, Pressure, and Protocol  4.) National Wealth and the Global Spread of Minimally Invasive Thoracic Surgery: Insights From the European Society of Thoracic Surgeons Database  CTSNet Content Mentioned  1.) Debranching of Aortic Arch Vessels Through a Cervical Approach for Aortic Arch Aneurysm: A Step-by-Step Guide  2.) Master Class: The Abramson Technique With Horacio Abramson and Joel Dunning  3.) The Atrium: The Future of Minimally Invasive Cardiac Surgery  Other Items Mentioned  1.) HOPE for Children: Successful Pediatric DCD Heart Transplantation Using Hypothermic Oxygenated Perfusion  2.) Instructional Video Competition   3.) Career Center   4.) CTSNet Events Calendar  Disclaimer The information and views presented on CTSNet.org represent the views of the authors and contributors of the material and not of CTSNet. Please review our full disclaimer page here.

Episode 135!  Joining the show today is Justin Donald.Justin was once deep in the ‘golden handcuffs,' working as a Division Manager for Cutco Knives and parent company Vector, trading time for money and hoping someday life would slow down enough to enjoy it. When his daughter was born, something changed, and he made a promise to himself: every recital, every birthday, every moment — he'd be there.That commitment led him to create an entirely different path. In just a few years, he built an eight-figure net worth and a portfolio of passive income that allowed Justin and his wife to quit their jobs and design a life of true freedom. Today you'll hear Justin share how he uses his Lifestyle Investing strategy to align with his values, mitigate risk, and create cash flow to live his life with intention focused on his family. Enjoy!  ===============================================================Connect with Justin here: Website: https://lifestyleinvestor.com/https://access.lifestyleinvestor.com/lifestyle-strategy-sessionThanks for listening! Eric Sardina Executive Life Coaching As a business and life coach, I help individuals work towards authentic lives of meaning and purpose. I also work with organizations to optimize their teams and individual contributors. Interested in working with me or learning more? Connect with me below: Website: https://www.ericsardina.com - book a free, 15-minute strategy session. https://calendly.com/ericsardina/8-session-authentically-you-discovery-call-website-linkFollow me on: Instagram: @theericsardina Facebook: Eric SardinaLinkedIn: https://www.linkedin.com/in/ericsardina/ YouTube: https://www.youtube.com/@EricSardina Affiliate: LMNT hydration drink mix: get a free sample pack with your first order by using this link: http://elementallabs.refr.cc/ericsardina

Send us a textPeaches runs a solo Daily Drop Ops Brief and cuts through a wide slate of military news with zero patience for nonsense. From the Army's recruiting age creeping up and a 10th Mountain deployment to the Middle East, to a soldier sentenced for murder at Fort Novosel, this episode stays grounded in accountability and reality. Peaches breaks down why the Army paused the soldier-built VECTOR data tool, what Navy pilots flying Air Force F-35As actually learn from it, and why a former Marine drill instructor's post-release arrest is indefensible. The Air Force brings back no-notice ORIs, lessons learned from Midnight Hammer drive comms upgrades, Space Force stands up a Northern Command component, the Coast Guard responds to deadly maritime incidents, SECDEF Hegseth takes aim at legacy procurement at Blue Origin, and the White House pushes to end the government shutdown. Context over outrage—again.⏱️ Timestamps: 00:00 Ones Ready intro and Daily Drop kickoff 01:10 Hoist Hydration sponsor 02:30 OTS Alabama 2026 rundown 04:40 Army recruit age increase explained 05:10 10th Mountain Division Middle East deployment 05:45 VECTOR AI tool suspended pending review 07:10 Soldier sentenced for murder at Fort Novosel 08:10 Navy pilots fly Air Force F-35A jets 09:30 Marine drill instructor arrested after early release 10:00 Air Force reinstates no-notice ORIs 11:20 Comms lessons from Midnight Hammer 12:45 Space Force stands up NORTHCOM component 13:20 Coast Guard rescues 27 mariners near Galapagos 14:00 Lily Jean sinking investigation 14:50 SECDEF Hegseth criticizes legacy procurement 15:50 POTUS urges end to government shutdown 16:40 Counter-narcotics strikes continue 17:00 Iran rhetoric and regional posturing 17:40 Russian cargo aircraft arrives in Cuba 18:30 Wrap-up and final thoughts

Lyme and vector disease treatments are highly effective when you incorporate these essential steps. In this episode, I've compiled conversations with vector disease experts on the best supplements, therapies and protocols. You may be missing a step that could improve your healing. Learn more, listen now.   ✅ Start healing with us! Learn more about our virtual clinic:  https://drruscio.com/virtual-clinic/ The Horowitz Multiple Systemic Infectious Disease Syndrome Questionnaire: https://mailchi.mp/8e5ccb1a9297/lyme-questionnaire  

I sit down with Kevin Rose for a live screen share where he walks me through “Nylon,” a personal Techmeme-style news engine he vibe-coded to track AI and tech stories. He breaks down how he pulls from RSS, enriches articles with tools like iFramely, Firecrawl, and Gemini, then generates TLDRs and vector embeddings to cluster stories with real nuance. We dig into his “gravity engine,” an editorial scoring system that ranks stories by impact, novelty, and builder relevance. The bigger theme is simple: with today's models and workflows, a solo builder can ship wild, high-leverage software fast, then refine by cutting features down to the few that matter. Timestamps: 00:00 – Intro And What Kevin Plans To Demo 03:10 – Techmeme Breakdown And How Signal Gets Ranked 06:44 – RSS Sources, Ingestion, And The Article Pipeline 11:23 – Winner Selection: RSS vs iFramely vs Firecrawl vs Gemini 13:01 – Why iFramely And Firecrawl, Explained 16:37 – TLDRs, Vector Embeddings, And Why They Beat Keyword Search 19:49 – Task Orchestration With trigger.dev And Retries 24:58 – Clusters: Expanding With Search APIs And Discovery 27:07 – The Gravity Engine: Editorial Scoring Rubric 31:31 – Product Management: Gut, Iteration, And Cutting Features 34:53 – Synthetic Audiences And Personal Software 37:03 – What “Success” Looks Like 43:52 – Retention Mechanics And The Idea Browser Example 47:19 – “Blurred Presence” Blog Project From A 12-Year-Old Idea 50:34 – This the best time to build 51:55 – How To Work With Kevin, DIGG Reboot, And VC Today Keypoints I watch Kevin's end-to-end pipeline for turning messy RSS links into clean, enriched, clustered stories. Kevin uses a “winner” judge to pick the best source of truth per field (summary, main content, metadata). Vector embeddings plus clustering unlock meaning-level grouping that keyword search misses. trigger.dev gives durable background jobs, retries, and observability for a solo builder workflow. His “gravity engine” acts like an editorial layer that prioritizes novelty, impact, and builder relevance. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ Kevin Rose: x: https://x.com/kevinrose personal website: https://www.kevinrose.com/about Youtube: https://www.youtube.com/@KevinRose

B2B marketing doesn't have to mean mediocre design, generic messaging, and content no one reads. In this episode of Pipe Dream, host Jason Bradwell sits down with Dmitry Shamis - former HubSpot creative leader and founder of OhSnap!, a brand systems agency helping marketers build creative that's both scalable and standout. Dmitry gets brutally honest about channels - 95% of his business comes from LinkedIn. Not just frameworks and case studies, but gardening updates and dumb kid stories. Because you want to work with people you actually like. This sparks a great discussion about the line between being human and being cringey (looking at you, banana peel LinkedIn posts). Jason throws him a hypothetical: $50K to build an audience, what do you do? Dmitry's answer: invest in brand systems. When you have templates ready, you focus on what you say, not how it looks. That's the foundation for everything else. They circle back to AI. What are we catastrophizing? The "you wrote this with AI" police. If the work is good, it's good. The real danger? People getting lazy and outsourcing their thinking. Dmitry's mantra: never outsource your thinking. His desk is covered with notebooks because side thoughts never make it into transcripts. He comes to AI with a fully baked idea - he doesn't ask it what the story is. They close with Dmitry shouting out Jess Cook at Vector for building a personality-led brand without a massive budget - a perfect blueprint for scrappy B2B teams. If you're feeling pressure to create more, post more, be everywhere, this is your reality check. The future isn't volume - it's consistent quality that resonates. Whether startup or enterprise, Dmitry's principles on brand systems and intentional content will help you build smarter operations. Expect practical advice, real talk, and a little fun along the way. Whether you're scaling a startup or running creative at an enterprise brand, this episode will help you build smarter, more sustainable content operations - and create marketing that actually moves people. 00:00 – Intro: Scaling creative without burnout 01:30 – What Dmitry learned running creative at HubSpot 03:00 – The rise of brand systems in B2B marketing 06:00 – Using AI to remove the busywork (not the thinking) 08:00 – Why most content fails (and what to do instead) 10:00 – How to make LinkedIn actually work for your brand 13:30 – Authenticity vs cringe: Finding your tone online 17:00 – Stop chasing impressions. Start tracking DMs. 21:00 – The forgotten power of adding a CTA to content 24:00 – How to stay creative with systems and structure 27:00 – AI fear factor: What should marketers *really* worry about? 30:00 – The antidote to lazy content in the AI age 33:00 – B2B brands and creators Dmitry admires 36:00 – Where to find Dmitry and more resources Connect with Jason Bradwell on LinkedIn Connect with Dmitry Shamis on LinkedIn Visit OhSnap! agency Visit The Brief Creative newsletter  What's Your Process? podcast on Spotify and Apple. More at B2B Better website and the Pipe Dream podcast

THE BEST BITS IN A SILLIER PACKAGE (from Thursday's Mike Hosking Breakfast) No Real Link There/Dunedin Rocks/Vector Doesn't/Where Did You Get That Suit?/Disconnected In the AirSee omnystudio.com/listener for privacy information.

Some great listener feedback, one of the best studies of the year in atrial fibrillation and heart failure, imaging to exclude left atrial thrombus, and a truly amazing first cardiac procedure are the topics John Mandrola, MD, discusses in this week's podcast. This podcast is intended for healthcare professionals only. To read a partial transcript or to comment, visit: https://www.medscape.com/twic I Listener Feedback On Fish Oil and AF Links between omega-3 fatty acids and AF https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.121.058596 Omega-3 and risk of AF https://doi.org/10.1016/j.pcad.2024.11.003 DHA vs EPA in reducing vulnerability to AF https://www.ahajournals.org/doi/10.1161/CIRCEP.112.971515 II Withdrawal of HF Therapy  AF rhythm control The AF is Gone, the EF Is Up. Can You Stop the HF Meds? https://www.medscape.com/viewarticle/af-gone-ef-can-you-stop-hf-meds-2024a1000h6o Effect of beta-blockers in patient with HF plus AF -- meta-analysis https://pubmed.ncbi.nlm.nih.gov/25193873/ TRED HF Trial 10.1016/S0140-6736(18)32484-X External Link WITHDRAW-AF Trial https://academic.oup.com/eurheartj/article/47/2/250/8238240 III ICE or TEE Before AF Ablation ICE vs TEE in Atrial Fibrillation Ablation https://jamanetwork.com/journals/jamacardiology/fullarticle/2839370 IV The Vector Procedure Percutaneous Aorto-Coronary Bypass Graft: the VECTOR procedure https://www.ahajournals.org/doi/10.1161/CIRCINTERVENTIONS.125.016130 You may also like: The Bob Harrington Show with the Stephen and Suzanne Weiss Dean of Weill Cornell Medicine, Robert A. Harrington, MD. https://www.medscape.com/author/bob-harrington Questions or feedback, please contact news@medscape.net

#321 | Jess Cook, VP of Marketing at Vector, joins Dave to break down what's actually working in early-stage B2B marketing. They dig into how she thinks about attribution for brand channels, how Vector's podcast became a top marketing channel, why they created a brand mascot, and details on what content strategy is working on LinkedIn right now. They also cover shift from content leader to VP of Marketing and how to drive demand without a massive team or budget.Timestamps(03:06) - — Meet Jess Cook & What is Vector? (07:39) - — B2B Influencer pilot setup: why this channel, why now (14:57) - — The result: 45 demos, ~$1.1M pipeline, and how she tracked it (16:55) - — How to run influencers (22:20) - — Scaling idea: retainer-style influencer partnerships (26:00) - — Vector's podcast: “awareness magnet” and the format that works (28:24) - — The production system: in-person batch recording a full season in 2 days (42:10) - — Jess's LinkedIn strategy: why she started posting and what she optimizes for (53:58) - — Content → VP shift: the two muscles she's building (metrics + leadership) Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Neo4j's Ajay Singh discusses future shifts in AI and why knowledge graphs may be the missing layer in your Gen AI strategy.Topics Include:Ajay Singh from Neo4j discusses graph intelligence platform serving 80+ Fortune 100 companies.Financial services firms use Neo4j knowledge graphs to detect fraud rings and accounts.IT companies build digital twins of infrastructure to analyze attack surfaces and vulnerabilities.Knowledge graphs provide richer context for Gen AI agents beyond what vector search offers.Gaming company achieved 10x faster insights and 92% reduction in analyst data gathering.Transportation company improved tariff code workflow from 50% abandonment to 95% completion rate.Neo4j has partnered with AWS since 2013, running on AWS infrastructure and Marketplace.Customers combine Neo4j with AWS Bedrock and SageMaker to build agentic AI applications.Neo4j evolved from late-stage AWS collaboration to early-stage joint customer solution development approach.Success requires business-first mindset over technology-first to avoid POCs that never reach production.Effective Gen AI needs semantic layers and knowledge graphs, not just throwing documents at LLMs.Future agents will tackle outcome-based objectives requiring explainability, security, and proper LLM operations.Participants:Ajay Singh – Global Vice President, Neo4jSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Peter Schmidt Nielsen, who is building FPGA-accelerated servers at Saturn Data. The conversation explores why servers need FPGAs, how these field-programmable gate arrays work as "IO expanders" for massive memory bandwidth, and why they're particularly well-suited for vector database and search applications. Peter breaks down the technical realities of FPGAs - including why they "really suck" in many ways compared to GPUs and CPUs - while explaining how his company is leveraging them to provide terabyte-per-second bandwidth to 1.3 petabytes of flash storage. The discussion ranges from distributed systems challenges and the CAP theorem to the hardware-software relationship in modern computing, offering insights into both the philosophical aspects of search technology and the nuts-and-bolts engineering of memory controllers and routing fabrics.For more information about Peter's work, you can reach him on Twitter at @PTRSCHMDTNLSN or find his website at saturndata.com.Timestamps00:00 Introduction to FPGAs and Their Role in Servers02:47 Understanding FPGA Limitations and Use Cases05:55 Exploring Different Types of Servers08:47 The Importance of Memory and Bandwidth11:52 Philosophical Insights on Search and Access Patterns14:50 The Relationship Between Hardware and Search Queries17:45 Challenges of Distributed Systems20:47 The CAP Theorem and Its Implications23:52 The Evolution of Technology and Knowledge Management26:59 FPGAs as IO Expanders29:35 The Trade-offs of FPGAs vs. ASICs and GPUs32:55 The Future of AI Applications with FPGAs35:51 Exciting Developments in Hardware and BusinessKey Insights1. FPGAs are fundamentally "crappy ASICs" with serious limitations - Despite being programmable hardware, FPGAs perform far worse than general-purpose alternatives in most cases. A $100,000 high-end FPGA might only match the memory bandwidth of a $600 gaming GPU. They're only valuable for specific niches like ultra-low latency applications or scenarios requiring massive parallel I/O operations, making them unsuitable for most computational workloads where CPUs and GPUs excel.2. The real value of FPGAs lies in I/O expansion, not computation - Rather than using FPGAs for their processing power, Saturn Data leverages them primarily as cost-effective ways to access massive amounts of DRAM controllers and NVMe interfaces. Their server design puts 200 FPGAs in a 2U enclosure with 1.3 petabytes of flash storage and terabyte-per-second read bandwidth, essentially using FPGAs as sophisticated I/O expanders.3. Access patterns determine hardware performance more than raw specs - The way applications access data fundamentally determines whether specialized hardware will provide benefits. Applications that do sparse reads across massive datasets (like vector databases) benefit from Saturn Data's architecture, while those requiring dense computation or frequent inter-node communication are better served by traditional hardware. Understanding these patterns is crucial for matching workloads to appropriate hardware.4. Distributed systems complexity stems from failure tolerance requirements - The difficulty of distributed systems isn't inherent but depends on what failures you need to tolerate. Simple approaches that restart on any failure are easy but unreliable, while Byzantine fault tolerance (like Bitcoin) is extremely complex. Most practical systems, including banks, find middle ground by accepting occasional unavailability rather than trying to achieve perfect consistency, availability, and partition tolerance simultaneously.5. Hardware specialization follows predictable cycles of generalization and re-specialization - Computing hardware consistently follows "Makimoto's Wave" - specialized hardware becomes more general over time, then gets leapfrogged by new specialized solutions. CPUs became general-purpose, GPUs evolved from fixed graphics pipelines to programmable compute, and now companies like Etched are creating transformer-specific ASICs. This cycle repeats as each generation adds programmability until someone strips it away for performance gains.6. Memory bottlenecks are reshaping the hardware landscape - The AI boom has created severe memory shortages, doubling costs for DRAM components overnight. This affects not just GPU availability but creates opportunities for alternative architectures. When everyone faces higher memory costs, the relative premium for specialized solutions like FPGA-based systems becomes more attractive, potentially shifting the competitive landscape for memory-intensive applications.7. Search applications represent ideal FPGA use cases due to their sparse access patterns - Vector databases and search workloads are particularly well-suited to FPGA acceleration because they involve searching through massive datasets with sparse access patterns rather than dense computation. These applications can effectively utilize the high bandwidth to flash storage and parallel I/O capabilities that FPGAs provide, making them natural early adopters for this type of specialized hardware architecture.

Double Tap Episode 442 This episode of Double Tap is brought to you by: C&G Holsters, Die Free Co., Night Fision, Blue Alpha, Second Call Defense, and Swampfox Optics   Welcome to Double Tap, episode 442! Your hosts tonight are Jeremy Pozderac, Aaron Krieger, Nick Lynch, and me Shawn Herrin, welcome to the show! Text Dear WLS or Reviews +1 743 500 2171 - Dear WLS Dependable Don - So what holsters do you run with your fanny pack? I got the qilo prison wallet which is Velcro backed so crossbreed has holsters that work but not crazy about it. Switch to a blapha or are Velcro backed holsters acceptable? Adam W - I am looking for a red dot that can stand up to a .357 magnum Chippa Rhino. I have put 2 other dots on it I had laying around and now I just want one I don't have worry about. I was thinking the Judge XL from Gideon. Would this be a good choice? The use case for this gun is local matches and range toy. Also, I am looking for a holster for this setup. The Chippa Rhino is the 60ds model with the pic rail in front of the cylinder. Your help is much appreciated. Scanks Adam Luis G - I am in Florida and do a lot of lake bank fishing. What would be a good caliber to carry and what type of rounds to use against alligators? Should I run a couple of snake shot rounds first for moccasins then the gator rounds? Jack B - Matt diniman just did a kickstarter campaign where 2 of the reward tiers included getting killed in a future DCC book. If you were get this prize for another cast member, which option would you choose and how would they die? Option, They are a crawler who gets killed. Option 2, They are a monster or NPC that gets killed by Donut and T-bagged by mongo. Ny(e)gerski - "This one is mostly for Mr. Saggins. Scroto, what are you signed up to hunt this year? I feel like we haven't had any 47 minute long hunting stories in a while and are due for one or 2. P.S.....are you sure you and Kevin from Q aren't kindred spirits?.....I can't tell who tells longer hunting stories... Pee Pee S.....i had something for here, but forgot....and now got you to say pee pee...." Eli K - I am building a new house soon. It will have a vault room in the basement. The floor, ceiling, and all four walls will be poured concrete. Other than that, I'm leaving it unfinished after framing and insulation, and I will take it form there. It will have HVAC and electrical available. What else should I do? Seems like a good idea to put a drain in. I'm tentatively planning to do Lockdown walls. Anything other suggestions? Jerry F - Do either of you guys have any idea where i can find Accurate Nitro 100NF for sale? I've been checking all of the reputable dealers online (Brownells, Midway usa, ammoseek etc) and I haven't been able to find any 4 or 8lb bottles all summer. I shoot trap every weekend with my dad and our local league just started and I commonly go through a hundred plus rounds each weekend. I believe accurate is a division of Hodgdens. Any help would be greatly appreciated. And in your opinions where is all the powder going? Love the show, thank you. Jeremy is not a cunt, he just doesn't have any patience for stupidity. John J - I've recently realized I'm a fan of both Jeremy and Aaron. Which probably means I'm either deeply complex, or there's something wrong with me. Thoughts? Also, would love to see some more Dangerous Freedom videos. I am looking forward to the red dot - magnifier comparison. One of my AR's has a CompM5 with a 3x magnifier. I want to love it for what the combo cost, but I find myself removing the magnifier more often than not. Thanks for the show.   The winner of this week's swag pack is John J! To win your own, go to welikeshooting.com/dashboard and submit a question!   Gun Industry News O/LINK Modular Trauma Panel (MTP) Analysis: A low-profile, "cyberpunk" inspired attachment designed by Evan Ohl to extend MOLLE webbing below mounted pouches for medical gear. Made from rigid yet lightweight 8-layer Tegris®, it attaches hardware-free to 4 columns of webbing and includes shock cord for securing items. Price / Availability: $25.00 / Available now at evanohl.com (Made to order, ~2 week lead time). Zaffiri Precision to Unveil Their First Complete Pistols at SHOT 2026 Analysis: Zaffiri Precision is shifting focus from à la carte parts to pre-configured complete uppers and will debut their first three complete pistols. The new lineup features five tiers (ZULU, ECHO, X-RAY, VECTOR, and IBS), each available in standard or "Elite" configurations with upgrades like threaded barrels and tritium night sights. Price / Availability: Pricing not listed / Unveiling at SHOT Show 2026; product shift begins January 2026. Weatherby Model 307 Cuts Barrel to 16 Inches for 7mm Backcountry Analysis: Weatherby introduces the Model 307 Alpine MDT SB, a compact rifle optimized for suppressor use and backcountry hunting. It features a 16-inch barrel specifically paired with Federal Premium's 7mm Backcountry ammunition to maintain performance in a short package. Built on the Model 307 action (Remington 700 footprint compatible), it sits in an MDT HNT26 carbon fiber chassis with a folding stock, reducing overall length by over 9 inches for transport. Price / Availability: $3,249 MSRP / Released late Dec 2025; available now. Turkish MMT Machine Gun Completes NATO Qualification Tests Analysis: The MKE MMT (Milli Makineli Tüfek) is a Turkish 7.62x51mm machine gun that has passed NATO qualification. Based on the Soviet PKM design (two-stage feed, right-side feed), it features modern updates like a detachable trigger mechanism, receiver cover Picatinny rail, and a new brass deflector. Weighing only 8 kg (17.6 lbs), it is lighter than the M240 and HK421. Price / Availability: No civilian price listed / Cleared for serial production as of Dec 2025; likely for Turkish military and potential export to African or former Warsaw Pact nations. Henry Honors America's 250th With Ultra-Limited Spirit of ‘76 Rifle Analysis: A highly exclusive collector's edition celebrating the U.S. Semiquincentennial (250th anniversary). Built on the "New Original Henry" platform (1860 patent reproduction) in .44-40 WCF. Features an engraved nickel-plated brass receiver with 24-karat gold accents depicting Revolutionary War imagery (Independence Hall, George Washington's sword, early flags). Includes a polished blued octagon barrel, hand-selected rosewood stock, and crescent buttplate. Price / Availability: $4,115 MSRP / Limited to 250 units; sold factory-direct. Released Dec 2025. Less Length, Same Strength: Samson Unveils The SAS-K Stock Analysis: A compact variant of the Samson Adjustable Stock (SAS) system, the SAS-K reduces the length of pull (LOP) by one inch (9"-10") compared to the standard model while maintaining the same durability and features. It includes a side-folding mechanism, 5-position adjustable LOP, 4-position adjustable cheek riser, and ambidextrous QD sling points. Designed for body armor users or confined spaces. Price / Availability: $315.65 / Available now. Badger Ordnance Forged Condition One Charging Handle (C1CH) Analysis: The C1CH differentiates itself by being machined from forgings rather than billet or extrusion for superior strength. It features a raised gas fence for gas mitigation (ideal for suppressed shooting), ergonomic ambidextrous latches with vertical serrations, and snag-free rounded edges. The width is streamlined at 2.42 inches, and it weighs 1.1 oz. Price / Availability: $100.00 / Available now in 5.56 (Black/Tan); 7.62 and MCX versions coming in 2026. CrossBreed Holsters Introduces The LightGuard Holster Analysis: The LightGuard is a new IWB holster built on CrossBreed's MultiFlex platform, specifically designed for pistols with weapon-mounted lights. It features a hybrid construction with a replaceable light-specific Kydex lower shell (allowing light upgrades without replacing the whole holster) and an injection-molded adjustable upper shell for firearm retention. It supports multiple mounting clips and carry positions (appendix, strong-side, cross-draw). Price / Availability: $44.95 (Base Price) / Available now directly from CrossBreed. New Product Highlight: Build A Custom Rifle Case With Lynx Defense Analysis: Lynx Defense now offers fully customizable rifle cases made in the USA (North Carolina) using 1,000D Cordura. Users can mix and match colors for the main body (solids, camo, splatter), exterior pocket, zippers, and logo. Available in four sizes: Byte (21" for PDWs), Bureau (32" for SBRs), Bronx (36" for 16" carbines), and Gigabyte (42" for long rifles). Price / Availability: $319.99 - $644.99 depending on size / Available now (made to order). Pistollo 77° Secures U.S. Distributor - Limited Launch Edition Planned Analysis: The Pistollo 77° semi-automatic pistol is coming to the U.S. civilian market via exclusive distributor Deluxe Imports (Boerne, Texas). The first release will be a "Launch Edition" designed for collectors with unique elements. To comply with U.S. regulations and market needs, the U.S. version features a rear Picatinny rail for braces, an upper receiver rail for optics, and a 1/2×28 threaded muzzle. A proprietary stabilizing brace is also in development. Price / Availability: Pricing not listed / Launch planned for Q2 2026; waitlist currently exceeds 2,000 customers.   Before we let you go - Join Gun Owners of America   Tell your friends about the show and get backstage access by joining the Gun Cult at theguncult.com.   No matter how tough your battle is today, we want you here fight with us tomorrow. Don't struggle in silence, you can contact the suicide prevention line by dialing 988 from your phone.

¿Y si te dijera que la realidad no es continua, sino que "parpadea"? Existe una micro-grieta entre cada segundo —un intervalo de 5.39x10^-44 segundos conocido como Tiempo de Planck— donde el universo se "apaga" para recalcularse. La mayoría de la gente vive en "Bucle" porque intenta cambiar su vida cuando la realidad ya está "sólida" (congelada en materia). Eso es fuerza bruta. En este análisis de Ingeniería Inversa, dejamos atrás el pensamiento mágico para aplicar la física pura. Usando la Teoría del Péndulo de Itzhak Bentov y la mecánica del Desdoblamiento del Tiempo, te enseñaré a encontrar ese "Fallo" en el sistema: el momento exacto donde puedes infiltrarte en el código fuente y REINICIAR tu destino antes de que se proyecte en 3D. No vamos a pedir deseos. Vamos a hackear el mecanismo de proyección. ¿QUIERES LAS HERRAMIENTAS DE ACELERACIÓN? He reabierto el Reto de 7 Días con una actualización crítica. Hemos añadido dos tecnologías nuevas para asegurar tu resultado: El Audio Binaural "Vector Zeta": Diseñado para inducir ondas Theta y facilitar el acceso al intervalo. La Hoja de Transmisión (PDF): La plantilla exacta para diseñar tu nueva línea de tiempo sin errores. PARA ACCEDER AL SISTEMA BLINDADO: Escribe la palabra VECTOR en los comentarios ahora mismo.(Al comentar VECTOR, se te enviará el enlace privado con los bonos activados). ⏱️ ÍNDICE DE INGENIERÍA: 0:00 - La Ilusión de la Solidez Por qué fallan tus intentos de manifestación. El error de golpear la pared (materia) en lugar de operar en el vacío. Introducción a la ingeniería inversa. 11:29 - PRINCIPIO 1: FRENAR (La Mecánica Cerebral)Tu cerebro en Beta es demasiado rápido para la creación. Por qué necesitas reducir la velocidad a Ondas Theta para detener el "Péndulo" de Bentov. 16:19 - PRINCIPIO 2: ENTRAR (El Intervalo Planck) El secreto del "Click-Out". Cómo acceder a la grieta de 5.39^{-44} segundos. La transición crítica de ser Partícula (Materia) a ser Onda (Posibilidad). 20:29 - PRINCIPIO 3: DISEÑAR (La Inserción)Cómo crear la "Diapositiva" perfecta. La técnica para incrustar un holograma estático en el intervalo de silencio antes de que la realidad vuelva a colapsar. 25:12 - PRINCIPIO 4: SOLTAR (Física de Fluidos) Energía Potencial vs. Cinética. Por qué el "apego" destruye la señal. La técnica de ingeniería para lanzar el paquete al vacío y confiar en la mecánica universal. 29:52 - PRINCIPIO 5: NAVEGAR (El GPS del Doble)Cómo usar tu intuición como radar. Aprendiendo a leer las señales de retorno del futuro potencial para no perder la ruta. 30:20 - PROTOCOLO FINAL Y ACCESO Herramienta de regalo: El Saneamiento Nocturno. LANZAMIENTO: Presentación del Reto de 7 Días actualizado con el Audio Vector Zeta y la Hoja de Transmisión. Instrucción: Comenta VECTOR para entrar. Salvador Mingo Creador de Conocimiento Experto | Estratega en desarrollo personal y enfoque interno salvador@conocimientoexperto.com Enlaces oficiales: Web: https://conocimientoexperto.com YouTube: https://www.youtube.com/@conocimientoexperto Podcast (Spotify): https://open.spotify.com/show/65J8RTsruRXBxeQElVmU0b Instagram: https://www.instagram.com/salvadormingo/ LinkedIn: https://www.linkedin.com/in/salvadormingoce/ Guías prácticas: https://conocimientoexperto.com/accede-a-las-guias

¿Y si te dijera que la realidad no es continua, sino que "parpadea"? Existe una micro-grieta entre cada segundo —un intervalo de 5.39x10^-44 segundos conocido como Tiempo de Planck— donde el universo se "apaga" para recalcularse. La mayoría de la gente vive en "Bucle" porque intenta cambiar su vida cuando la realidad ya está "sólida" (congelada en materia). Eso es fuerza bruta. En este análisis de Ingeniería Inversa, dejamos atrás el pensamiento mágico para aplicar la física pura. Usando la Teoría del Péndulo de Itzhak Bentov y la mecánica del Desdoblamiento del Tiempo, te enseñaré a encontrar ese "Fallo" en el sistema: el momento exacto donde puedes infiltrarte en el código fuente y REINICIAR tu destino antes de que se proyecte en 3D. No vamos a pedir deseos. Vamos a hackear el mecanismo de proyección. ¿QUIERES LAS HERRAMIENTAS DE ACELERACIÓN? He reabierto el Reto de 7 Días con una actualización crítica. Hemos añadido dos tecnologías nuevas para asegurar tu resultado: El Audio Binaural "Vector Zeta": Diseñado para inducir ondas Theta y facilitar el acceso al intervalo. La Hoja de Transmisión (PDF): La plantilla exacta para diseñar tu nueva línea de tiempo sin errores. PARA ACCEDER AL SISTEMA BLINDADO: Escribe la palabra VECTOR en los comentarios ahora mismo.(Al comentar VECTOR, se te enviará el enlace privado con los bonos activados). ⏱️ ÍNDICE DE INGENIERÍA: 0:00 - La Ilusión de la Solidez Por qué fallan tus intentos de manifestación. El error de golpear la pared (materia) en lugar de operar en el vacío. Introducción a la ingeniería inversa. 11:29 - PRINCIPIO 1: FRENAR (La Mecánica Cerebral)Tu cerebro en Beta es demasiado rápido para la creación. Por qué necesitas reducir la velocidad a Ondas Theta para detener el "Péndulo" de Bentov. 16:19 - PRINCIPIO 2: ENTRAR (El Intervalo Planck) El secreto del "Click-Out". Cómo acceder a la grieta de 5.39^{-44} segundos. La transición crítica de ser Partícula (Materia) a ser Onda (Posibilidad). 20:29 - PRINCIPIO 3: DISEÑAR (La Inserción)Cómo crear la "Diapositiva" perfecta. La técnica para incrustar un holograma estático en el intervalo de silencio antes de que la realidad vuelva a colapsar. 25:12 - PRINCIPIO 4: SOLTAR (Física de Fluidos) Energía Potencial vs. Cinética. Por qué el "apego" destruye la señal. La técnica de ingeniería para lanzar el paquete al vacío y confiar en la mecánica universal. 29:52 - PRINCIPIO 5: NAVEGAR (El GPS del Doble)Cómo usar tu intuición como radar. Aprendiendo a leer las señales de retorno del futuro potencial para no perder la ruta. 30:20 - PROTOCOLO FINAL Y ACCESO Herramienta de regalo: El Saneamiento Nocturno. LANZAMIENTO: Presentación del Reto de 7 Días actualizado con el Audio Vector Zeta y la Hoja de Transmisión. Instrucción: Comenta VECTOR para entrar. Salvador Mingo Creador de Conocimiento Experto | Estratega en desarrollo personal y enfoque interno salvador@conocimientoexperto.com Enlaces oficiales: Web: https://conocimientoexperto.com YouTube: https://www.youtube.com/@conocimientoexperto Podcast (Spotify): https://open.spotify.com/show/65J8RTsruRXBxeQElVmU0b Instagram: https://www.instagram.com/salvadormingo/ LinkedIn: https://www.linkedin.com/in/salvadormingoce/ Guías prácticas: https://conocimientoexperto.com/accede-a-las-guiasConviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/conocimiento-experto--2975003/support.

Graham and Joshua scramble to save Talia from The Sojourn. Written by Mac Rogers, Directed by Jordana Williams, Designed by Bart Fasbender. Featuring: Sean Williams, Felicia Hudson, Nat Cassidy, Jason Howard, Joe Mathers, Dani Martineck, Briggon Snow, Jordan Tierney, Lauren Shippen and Diana Oh Music by Adam Blau, production manager Katie Kosma, produced and edited by Sean Williams. Learn more about your ad choices. Visit megaphone.fm/adchoices

Graham and Joshua race against the clock to cut a deal that could both save - and betray - everyone they hold dear.  Written by Mac Rogers, directed by Jordana Williams, sound design by Bart Fasbender.  Featuring: Sean Williams, Dani Martineck, Felicia Hudson, Jordan Tierney, Lauren Shippen, Diana Oh, Nat Cassidy, Jason Howard, Brian Silliman, Rebecca Comtois, Lori Elizabeth Parquet, Joe Mathers, Briggon Snow, Fernando Gonzalez, Hennessy Winkler, Kevin R. Free, Amy Lee Pearsall, Kristen Vaughan and Hanna Cheek Music by Adam Blau, production manager Katie Kosma, produced and edited by Sean Williams. Learn more about your ad choices. Visit megaphone.fm/adchoices

En SAGA Noticias con Kim Armengol te presentamos un resumen completo de los hechos más importantes en México y el mundo: la Corte Interamericana de Derechos Humanos responsabiliza al Estado mexicano por el caso de Ernestina Ascencio Rosario; la polémica por presuntos actos de tortura en Michoacán; avances en seguridad en Chiapas; detenciones y sentencias de miembros de la delincuencia organizada; temas legales y financieros de empresarios; accidentes y rescates en Toluca y el Pico de Orizaba; medidas de salud por influenza H3N2; nombramientos en el IMSS; la “cuesta de enero” y economía; política internacional con Chile, Venezuela y Estados Unidos; así como sucesos insólitos y curiosidades en México. Toda la información con el análisis y el estilo de SAGA Noticias. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Profepa suspende extracción de arena del río SuchiapaEU entrega tres cachorros policías a Zapopan EU sanciones al Cartel Santa Rosa de Lima Más información en nuestro podcast

⬥EPISODE NOTES⬥Modern application development depends on open source packages moving at extraordinary speed. Paul McCarty, Offensive Security Specialist focused on software supply chain threats, explains why that speed has quietly reshaped risk across development pipelines, developer laptops, and CI environments.JavaScript dominates modern software delivery, and the npm registry has become the largest package ecosystem in the world. Millions of packages, thousands of daily updates, and deeply nested dependency chainsഴ് often exceeding a thousand indirect dependencies per application. That scale creates opportunity, not only for innovation, but for adversaries who understand how developers actually build software.This conversation focuses on a shift that security leaders can no longer ignore. Malicious packages are not exploiting accidental coding errors. They are intentionally engineered to steal credentials, exfiltrate secrets, and compromise environments long before traditional security tools see anything wrong. Attacks increasingly begin on developer machines through social engineering and poisoned repositories, then propagate into CI pipelines where access density and sensitive credentials converge.Paul outlines why many existing security approaches fall short. Vulnerability databases were built for mistakes, not hostile code. AppSec teams are overloaded burning down backlogs. Security operations teams rarely receive meaningful telemetry from build systems. The result is a visibility gap where malicious code can run, disappear, and leave organizations unsure what was touched or stolen.The episode also explores why simple advice like “only use vetted packages” fails in practice. Open source ecosystems move too fast for manual approval models, and internal package repositories often collapse under friction. Meanwhile, attackers exploit maintainer accounts, typosquatting domains, and ecosystem trust to reach billions of downstream installations in a single event.This discussion challenges security leaders to rethink how software supply chain risk is defined, detected, and owned. The problem is no longer theoretical, and it no longer lives only in development teams. It sits at the intersection of intellectual property, identity, and delivery velocity, demanding attention from anyone responsible for protecting modern software-driven organizations.⬥GUEST⬥Paul McCarty, NPM Hacker and Software Supply Chain Researcher  | On LinkedIn: https://www.linkedin.com/in/mccartypaul/⬥HOST⬥Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com⬥RESOURCES⬥LinkedIn Post: https://www.linkedin.com/posts/mccartypaul_i-want-to-introduce-you-to-my-latest-project-activity-7396297753196363776-1N-TOpen Source Malware Database: https://opensourcemalware.comOpenSSF Scorecard Project: https://securityscorecards.dev⬥ADDITIONAL INFORMATION⬥✨ More Redefining CyberSecurity Podcast: 

Episode Summary: In this episode, our team explores the top defense issues in Washington, D.C. and beyond. Where do the defense bills stand? What's up with the new Air Force fighter force structure report, plus Secretary of War Hegseth's acquisition speech? We also explore Gen. Wilsbach's new priorities, F-35s to Saudia Arabia, as well as Lt. Gen. White's nomination for a new job as DRPM. The conversation also covers the Space Force, including Vector 2025, the creation of Combat Forces Command, and new developments regarding their test and validation requirements. Credits: Host: Heather "Lucky" Penney, Director of Research, The Mitchell Institute for Aerospace Studies Producer: Shane Thin Executive Producer: Douglas Birkey Guest: Mark "Gonzo" Gunzinger, Director of Future Concepts and Capability Assessments, Mitchell Institute for Aerospace Studies Guest: Jennifer "Boost" Reeves, Senior Resident Fellow for Space Studies, The Mitchell Institute Spacepower Advantage Center of Excellence (MI-SPACE) Guest: Todd “Sledge” Harmer, Senior Vice President, American Defense International Guest: Jeff "Rowli" Rowlison, Vice President of Space & Intel Programs, American Defense International Guest: Anthony “Lazer” Lazarski, Principal, Cornerstone Government Affairs Post-Credits Discussion: Guest: Douglas Birkey, Executive Director, The Mitchell Institute Spacepower Advantage Center of Excellence (MI-SPACE) Guest: Charles Galbreath, Director and Senior Resident Fellow for Space Studies, The Mitchell Institute Spacepower Advantage Center of Excellence (MI-SPACE) Guest: Kyle "Puma" Pumroy, Senior Resident Fellow for Space Studies, The Mitchell Institute Spacepower Advantage Center of Excellence (MI-SPACE) Links: Subscribe to our YouTube Channel: https://bit.ly/3GbA5Of Website: https://mitchellaerospacepower.org/ Twitter: https://twitter.com/MitchellStudies Facebook: https://www.facebook.com/Mitchell.Institute.Aerospace LinkedIn: https://bit.ly/3nzBisb Instagram: https://www.instagram.com/mitchellstudies/ #MitchellStudies #AerospaceAdvantage #rendezvous #politics

Crypto News: Bitcoin nears the bottom based on the RSI, Jim Cramer is bearish on Bitcoin and Crypto, and Japan approves $135.5 Billion stimulus package. Coinbase is acquiring Vector, an onchain trading platform built on Solana.Brought to you by