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We each spent the week on our own projects, breaking then fixing things. Now we're back to compare progress, and a few lessons learned.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:

In this week's episode of Hands-On Tech, Mikah walks David through how to troubleshoot and set up a dual-boot system with Windows 10 and Windows 11 on separate SSDs. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: Melissa.com/twit

En este episodio del iSenaCode Live, analizamos algunas de las noticias tecnológicas más interesantes del momento y lo que significan para el futuro del ecosistema Apple y la inteligencia artificial.Comenzamos hablando de los siete nuevos productos que Apple ha lanzado recientemente y las primeras impresiones que están dejando en la industria. También comentamos el impacto del nuevo MacBook Neo, que según algunos ejecutivos del sector PC está causando auténtico “shock” por su propuesta, aunque también analizamos las críticas sobre la velocidad de su SSD frente a los MacBook Pro.Entramos después en uno de los rumores más intrigantes del momento: el iPhone plegable. Comentamos por qué Apple habría rechazado un diseño tipo concha y las filtraciones que apuntan a un iPhone Fold con multitarea al estilo iPad, algo que podría cambiar completamente la forma en la que usamos el iPhone.También repasamos novedades del ecosistema Sonos, con nuevos altavoces compatibles con AirPlay 2, y debatimos sobre cómo encajan en un setup Apple moderno.En la parte de inteligencia artificial, analizamos varias noticias importantes: el nuevo GPT-5.4 y su avance hacia agentes autónomos, la sorprendente demanda de Anthropic contra el Departamento de Defensa, y las polémicas sobre las gafas de IA de Meta y el tratamiento de datos sensibles.“La mejor forma de predecir el futuro es construirlo.” — Alan Kay

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

This week, we discuss why a "unified streaming stack" is not the same as combining two streaming services, despite media reports that HBO Max and Paramount+ will merge into a single DTC service shortly. As we break down the latest details of the proposed Paramount and WBD deal, we speculate on the layoff impact across both companies, as Paramount tells bankers it expects to see billions in cost savings while telling employees the savings target will be realized mostly through non-personnel means.We also cover the launch of F1 on Apple TV, Versant Media's full-year 2025 earnings, Sling TV losing 167,000 subs in Q4, NBCU not planning to publish Super Bowl viewership numbers for Peacock/digital, and YouTube in talks to stream four more live NFL games. Finally, we detail that, due to rising costs for servers, RAM, SSDs, and energy, Akamai has notified customers and partners of upcoming surcharges and contract renewal adjustments.Podcast produced by Security Halt Media

UGREEN, a leading global consumer electronics brand, announced on March 6 that pre-orders have opened for its latest Maxidok line of docks, an all-new collection of Thunderbolt 5 docking stations for the European market. As a leading docking station brand on Amazon Europe, UGREEN brings next-generation desktop connectivity to the lineup, with higher bandwidth, lower latency, and greater expansion capabilities, providing a significant boost in performance and workflow flexibility. As laptops become thinner and lighter, the trade-off is fewer available ports. At the same time, demand for faster data transfers, multi-display outputs, and external storage continues to rise. The Maxidok line, the latest flagship in UGREEN's Revodok series, is built to resolve these challenges with Thunderbolt 5 technology. It eliminates port and bandwidth bottlenecks that traditional docks struggle with for 4K/8K and multi?device workflows, fully utilising the high bandwidth and advanced display capabilities of Thunderbolt 5. The result is a powerful tool built to accelerate creative workflows and truly help users "Max Out Your Productivity." The Maxidok line offers three new models, all certified for Thunderbolt 5, to meet different needs. Certification ensures strong compatibility with MacBooks in terms of connection stability, transfer speed, and display quality. Positioned as a flagship dock for peak productivity, the UGREEN Maxidok 17-in-1 Thunderbolt 5 Dock integrates 17 ports covering data, video, networking, storage, and charging. It supports bandwidth up to 120Gbps and includes built-in M.2 SSD expansion that enables users to open and edit large 4K assets directly without relying on slower external workflows. The dock delivers up to 240W total power for charging laptops and phones together, while also powering external displays. It also enables single 8K@60Hz or dual 6K@60Hz outputs on macOS and supports three independent displays on Windows systems. The 10-in-1 Thunderbolt 5 desktop hub offers a streamlined and powerful alternative that features dual Thunderbolt 5 ports, 140W total power with up to 100W charging for laptops, Gigabit Ethernet, and multi-display capabilities. Designed to eliminate the need for additional adapters, it consolidates high-use ports into a single, cost-efficient solution. UGREEN will also introduce a dedicated 10-in-1 Thunderbolt 5 Mac mini dock, built to sit flush with the Mac mini M4 chassis while maintaining airflow integrity. It supports native dual extended displays on macOS and delivers up to a single 8K@60Hz or dual 6K@60Hz outputs without requiring third-party display drivers. The Mac mini model also includes built-in M.2 SSD storage expansion, high-speed USB-A ports, SD/microSD 4.0 card readers, and a hybrid cooling system combining an aluminium heatsink with intelligent fan control. By integrating high-speed bandwidth, multi-display performance, stable power delivery, and engineering-grade thermal management, UGREEN is positioning its new Thunderbolt 5 docking station lineup as a productivity upgrade. Designed for workflow?intensive scenarios, the lineup excels in demanding environments such as high?resolution video editing, real?time 3D rendering, multi?app creative production, immersive gaming setups, and multi?screen productivity workstations. Priced at €459.99/£419.99 and €299.99/£249.99 respectively, the flagship 17-in-1 and standard 10-in-1 Thunderbolt 5 docks will be available for pre-order through UGREEN's official website, with sales beginning March 24 on Amazon and direct channels. The Mac mini model is scheduled for release in late April or early May.

In this episode of Linux Out Loud, Wendy, Nate, and Bill start in the server room and end up staring down new “for the children” age‑verification laws aimed squarely at your operating system. They talk through wrangling tablets and printers with CUPS, why Framework laptops keep surviving industrial abuse, and how Deskflow brings Synergy/Barrier‑style magic to Wayland setups. From there, they dig into the new FIRST LEGO League robotics kits and what might be lost when classroom‑friendly AI kits replace hands‑on engineering. Finally, they unpack California and Colorado's OS‑level age‑verification bills, what “OS providers” really means, and why small Linux and BSD projects are already threatening to block entire states rather than bolt surveillance rails onto their distros. Show Links: CUPS (Common UNIX Printing System) – https://www.cups.org/ LibreNMS – network and printer monitoring – https://www.librenms.org/ Framework Laptop – https://frame.work/ Deskflow – seamless multi‑computer control – https://cubiclenate.com/2026/02/13/deskflow-seamless-multi-computer-control/ Third Reality Zigbee devices – https://3reality.com/ LEGO Education Computer Science & AI kit (new FLL robots) – https://education.lego.com/en-us/products/lego-education-computer-science-and-ai-45522 LEGO Education SPIKE Prime set – https://education.lego.com/en-us/products/lego-education-spike-prime-set-45678 California AB 1043 – Digital Age Assurance Act overview – https://calmatters.digitaldemocracy.org/bills/ca/2025-2026/ab1043 Nate – Data has weight (but only on SSDs) – https://cubiclenate.com/2026/03/04/data-has-weight-but-only-on-ssds-blathering/ Chapters: 00:00:00 Intro 00:00:52 Bill is a pro, trust me bro! 00:02:19 Printer monitoring, SNMP & copier contracts 00:07:01 Framework laptops in industrial environments 00:09:24 Framework durability, cases & drop protection 00:14:14 Deskflow – Wayland-friendly Synergy/Barrier 00:19:59 New FLL robots – kits, AI & concerns 00:33:10 Age verification laws hit Linux & BSD 00:38:58 Fines, liability & open-source maintainers 00:40:02 What counts as an “OS provider”? 00:44:43 Surveillance, mission creep & “for the children” 00:46:22 Future of OS compliance & responses 00:50:54 Guard rails 00:55:16 Wrap-up, jokes & closing banter 00:57:30 Data has weight 01:00:27 Outro Connect with the Hosts on Discord: Matt – @Dark1ltg Wendy – @Wendy.sh Nate – CubicleNate.com @CubicleNate Bill – @ctlinux on MastodonSpecial Guest: Bill.

On this week's episode of The MacRumors Show, we discuss Apple's concentrated week of announcements that saw the introduction of 10 new products.The most significant announcement of the week was the MacBook Neo, an all-new entry-level Apple laptop that starts at $599. The ‌MacBook Neo‌ is designed to compete with lower-cost Windows laptops and Chromebooks, while expanding the Mac lineup with a substantially more affordable option.Unlike every other Apple silicon Mac, the ‌MacBook Neo‌ is powered by the A18 Pro chip originally developed for the iPhone 16 Pro, making it the first Mac to use an iPhone-class processor instead of an M-series chip. The machine features a rounded, colorful design available in Silver, Indigo, Blush, and Citrus finishes, with matching keyboards and wallpapers that give it a more playful appearance than Apple's existing notebooks. At 2.7 pounds, it weighs the same as a MacBook Air.It offers a 13-inch Liquid Retina display with uniform, iPad-style bezels rather than a notch, a Magic Keyboard, a mechanical trackpad, two USB-C ports, 8GB of memory, a headphone jack, a 1080p camera, dual mics, dual speakers with Spatial Audio, and a battery life rated for up to 16 hours.Apple also updated several existing devices with modest specification improvements. The iPhone 17e retains the same design and price as the iPhone 16e but adds the A19 chip, MagSafe support, Apple's second-generation C1X modem, and 256GB of base storage.The 11- and 13-inch iPad Air gained the M4 chip, 12GB of RAM, Wi-Fi 7 support via Apple's N1 wireless chip, and the same C1X modem in cellular models. Meanwhile, the 13- and 15-inch ‌MacBook Air‌ were upgraded with the M5 chip and a higher base storage capacity of 512GB, though the removal of the 256GB option increased the starting price to $1,099.At the high end of the Mac lineup, Apple refreshed the 14-inch and 16-inch MacBook Pro models with the new M5 Pro and M5 Max chips, introducing a "Fusion Architecture" that bonds two 3nmdies together into a single processor. These models also gained faster SSD speeds, higher base storage, and Wi-Fi 7 and Bluetooth 6 via the N1 chip. Battery life increased slightly across the lineup, while GPU cores now include dedicated Neural Accelerators intended to improve AI workloads.Apple also expanded its display lineup with a new Studio Display XDR model, replacing the Pro Display XDR. The new model offers a 27-inch 5K mini-LED panel with up to a 120Hz refresh rate, HDR brightness up to 2,000 nits, and Thunderbolt 5 connectivity. The standard ‌Studio Display‌ was updated at the same time with two Thunderbolt 5 ports, improved speakers, and a camera that now supports Desk View, but retains its 60Hz panel and 600-nit brightness.All of the newly announced devices became available to pre-order on Wednesday, March 4, with the entire lineup scheduled to launch and begin arriving to customers on Wednesday, March 11.Get the right life insurance for you, for less, and save more than fifty percent at https://www.selectquote.com/macrumors00:00 - Intro01:17 - iPhone 17e06:42 - M4 iPad Air08:46 - M5 MacBook Air11:53 - Sponsor: SelectQuote13:40 - MacBook Pro: M5 Pro and M5 Max Overview21:30 - Studio Display25:58 - Studio Display XDR38:05 - Introducing the MacBook Neo

W niniejszym odcinku zanurzamy się w świat pamięci masowej

Matt demands we roast his home screen, Niléane drops some knowledge on SSDs, and (almost) everyone has fun with Pokémon. This week's Cozy Zone, we played Geoguesser, and it has a better ending than we could have even scripted. Want more from the gang? Cozy Zone is a bonus podcast every Monday where we let loose on all sorts of fun topics. You can get cozy with the Comfort Zone crew for just $5/month or $50/year, which not only makes the bonus episodes possible, but supports Comfort Zone, too. How would you have done our challenges? How would you answer the question at the end of the show? Let us know! Things discussed Swipe to type on the Mac Sharge USB-C cable BILRESA Ikea buttons Follow the Hosts Chris on YouTube Matt on Birchtree Niléane on Mastodon Comfort Zone on Mastodon Comfort Zone on Bluesky

Apple vuelve a sorprender con una nueva computadora portátil: la MacBook Neo.Una laptop que no es Air, no es Pro… pero que podría convertirse en la nueva Mac para la mayoría de los usuarios.En este episodio de BairesMac, analizamos todo sobre este lanzamiento: su diseño, el nuevo chip Apple Silicon, el almacenamiento SSD, la batería y por qué Apple podría estar redefiniendo otra vez su línea de Mac.Además reflexionamos sobre algo más grande:cómo las computadoras están evolucionando hacia una nueva era impulsada por inteligencia artificial, Apple Intelligence y el futuro del trabajo digital.¿Estamos frente a la nueva Mac más popular de Apple?

JR仙台病院は2月18日、同院のパソコン本体の紛失と一部端末のSSD等の欠損について発表した。

Apple presenta la nueva Studio Display XDR, un monitor profesional 5K Mini LED de 27 pulgadas que mejora en brillo, frecuencia y prestaciones… pero recorta tamaño respecto a la Pro Display XDR de 32 pulgadas, y va a contracorriente de un mercado que empuja hacia pantallas cada vez más grandes. El MacBook Air estrena chip M5 y se pone todavía más serio: CPU de 10 núcleos, salto grande en rendimiento de IA y SSD el doble de rápida que en el modelo anterior. El diseño no cambia, pero ahora parte de 512 GB de almacenamiento y puede llegar hasta 4 TB, con Wi‑Fi 7 y Bluetooth 6 de serie. A cambio, sube el precio: el modelo de 13 pulgadas arranca en 1.199 euros y el de 15 en 1.499, consolidándose como el portátil ligero ‘para casi todo' dentro del catálogo de Apple.” #StudioDisplayXDR #Apple #MacStudio #ProDisplayXDR #Monitor5K #MiniLED #EdiciónDeVídeo #FotografíaProfesional #SetupMac #AppleFan #MacBookAirM5 #MacBookAir #AppleM5 #Mac2026 #AppleMac #AppleEspañol #ReviewMacBook #PodcastTecnología #PortátilApple #AppleFans https://seoxan.es/crear_pedido_hosting Codigo Cupon "APPLE" PATROCINADO POR SEOXAN Optimización SEO profesional para tu negocio https://seoxan.es https://uptime.urtix.es PARTICIPA EN DIRECTO Deja tu opinión en los comentarios, haz preguntas y sé parte de la charla más importante sobre el futuro del iPad y del ecosistema Apple. ¡Tu voz cuenta! ¿TE GUSTÓ EL EPISODIO? ✨ Dale LIKE SUSCRÍBETE y activa la campanita para no perderte nada COMENTA COMPARTE con tus amigos applelianos SÍGUENOS EN TODAS NUESTRAS PLATAFORMAS: YouTube: https://www.youtube.com/@Applelianos Telegram: https://t.me/+Jm8IE4n3xtI2Zjdk X (Twitter): https://x.com/ApplelianosPod Facebook: https://www.facebook.com/applelianos Apple Podcasts: https://apple.co/39QoPbO

Would you call your spouse your “teammate” instead of “baby”? And would you believe that your old laptop might be a better investment than gold? On today’s episode of What’s Trending, Hongbin Jeong and Alexandra Parada dive into two unexpected trends shaking up the internet: married couples in China ditching lovey-dovey pet names in favour of practical titles like “teammate” or “roommate,” sparking debate over whether modern relationships are becoming more like partnerships than romance. And the surprising tech gold rush is happening at Sim Lim Square, where used laptops are being stripped for valuable RAM and SSD parts amid an AI-driven chip shortage that’s sending prices soaring.See omnystudio.com/listener for privacy information.

Enterprise IT spending is projected to reach $4.5 trillion by 2026, but this growth is concentrated in software, cloud services, and AI infrastructure for large organizations, according to HG Insights and Omdia research cited by Dave Sobel. The system integration market is positioned to approach $950 billion in 2025, with enterprises working with an average of 6.3 technology partners. A substantial surge in AI-optimized server sales, as reflected in Dell Technologies' reported 342% year-over-year increase in revenue for those systems, is reshaping supply chains and vendor dynamics, leading to shortages of DRAM, SSDs, and hard drives. Underlying this development are volatile component costs. DRAM prices have doubled quarter over quarter, and both Micron Technologies and Western Digital have indicated they are sold out for 2026. HP reports that RAM now constitutes 35% of new PC materials costs, up dramatically from 18% the previous quarter. Such cost shifts are creating downstream risks for managed service providers (MSPs) with fixed-price agreements, as the economic assumptions underpinning many contracts—stable hardware prices and predictable cloud costs—no longer hold. The episode also highlights an increase in application sprawl and a widening gap between IT budgets and other operational costs. A Torii report shows large enterprises use over 2,191 applications on average, with more than 61% bypassing formal IT approvals, resulting in unmanaged security and compliance exposure. Additionally, 80% of small businesses report rising energy costs that directly compete with IT budget allocations. Industry analysis from Jefferies and Boston Consulting Group signals that AI and automation are not viewed uniformly as productivity boosters and may compress revenue models in both Indian and domestic IT services sectors. The practical implication for MSPs is the urgent need to audit and reprice contracts related to hardware procurement and refresh cycles, clearly documenting and communicating current cost realities with clients. Dave Sobel stresses reframing device lifecycle extensions as a security risk rather than a cost-saving measure and warns against selling clients on speculative AI market projections. The advice is to focus on specific, scoped use cases and to structure agreements that accurately reflect volatility in component costs and the operational burden of application sprawl, ensuring financial and legal accountability as the IT services landscape evolves. 00:00 $4.96T IT Spend Surge Bypasses SMBs as AI Infrastructure Captures Enterprise Budgets 03:58 Dell's $43B AI Server Backlog Triggers DRAM Shortage, Repricing Downstream Hardware 05:52 AI Shrinks IT Services Revenue Model; MSPs Face Contested Implementation Role   This is the Business of Tech.    Supported by:

The prices of digital storage are set to climb this year because AI is eating up all the available inventory. And modern photography is entirely dependent on storage, whether it's the SD cards that store the captured images, the internal solid-state memory that stores data on your computer, or the external SSDs and traditional hard drives that keep your archive of photos. Hosts: Jeff Carlson: website, Jeff's photos, Jeff on Instagram, Jeff on Glass, Jeff on Mastodon, Jeff on Bluesky Kirk McElhearn: website, Kirk's photos, Kirk on Instagram, Kirk on Glass, Kirk on Mastodon, Kirk on Bluesky Show Notes: (View show notes with images at PhotoActive.co) Rate and Review the PhotoActive Podcast! Western Digital is out of hard drives, because Ai (of course) Take Control of Your Digital Storage Subscribe to the PhotoActive podcast newsletter at the bottom of any page at the PhotoActive web site to be notified of new episodes and be eligible for occasional giveaways. If you've already subscribed, you're automatically entered. If you like the show, please subscribe in iTunes/Apple Podcasts or your favorite podcast app, and please rate the podcast. And don't forget to join the PhotoActive Facebook group to discuss the podcast, share your photos, and more. Disclosure: Sometimes we use affiliate links for products, in which we receive small commissions to help support PhotoActive.

Today is Monday, March 2, 2026. Welcome to In Case You Missed It, our weekly five-minute rundown of important channel news stories that might have flown under the radar last week. In this edition: Component shortages start hitting the channel: Rising memory and storage costs are prompting vendors to revisit pricing and deal protections, highlighted by a letter from Cisco to partners and reinforced by warnings from other vendors, distributors, and suppliers as availability tightens across servers, storage, and PCs. Pure Storage rebrands as Everpure: Pure Storage has rebranded to Everpure, signaling a shift toward AI-ready data management and rolling out partner program changes aimed at supporting subscription services and platform-led growth. WatchGuard targets MSPs with enterprise-grade security: WatchGuard says new platform enhancements allow MSPs to deliver enterprise-level security outcomes — including zero trust, MDR, and unified management — without enterprise-level complexity. AWS threat research highlights AI-driven attacks: New findings from Amazon Web Services show attackers using AI-assisted techniques to accelerate exploitation of perimeter devices, including firewalls, underscoring how rapidly the threat landscape is evolving. Read Full Transcript Hello and welcome to In Case You Missed It from ChannelBuzz.ca, your Monday morning recap where we catch you up on some of the channel news and trend headlines you may have missed in the last week. I’m Robert Dutt, editor of ChannelBuzz.ca. Today is Monday, March 2, 2026. Let’s get your week started right. This week, the IT channel is being forced to confront an uncomfortable reality. Global components shortages and memory price spikes are fundamentally reshaping how hardware deals are negotiated and fulfilled, and vendors are already updating partner policies as they try to cope. At the center of the storm is a note from Cisco Systems to partners, which was obtained by CRN, in which Cisco says it’ll adjust partner contract terms in response to rapidly rising memory costs and supply volatility. The company now reserves the right to cancel compute orders up to 45 days prior to shipment and to adjust pricing between order and shipment date if component costs, tariffs, or other external factors shift dramatically. That’s a significant departure from the traditional price protection norms. And this isn’t isolated. Executives from major distributors told CRN that memory and storage shortages, particularly DRAM and SSDs, are pushing prices up and tightening supplies across servers, storage, and PC portfolios. Memory prices are reported to have doubled year over year in early 2026, and are expected to continue rising, leading many distributors to shorten their own validities and revisit backlog pricing with vendors. Vendors themselves are directly advising partners of pricing shifts too. Lenovo has warned partners that select PC and server products will see price hikes in March unless orders are placed and shipped promptly, reflecting those costs. And hardware availability is also tightening in real terms. For example, Western Digital says its entire 2026 hard drive production capacity is already spoken for, with most allocations locked up in long-term agreements with hyperscale cloud and AI customers, a trend that could push prices higher and leave less inventory for channel projects. As memory, storage, and other components become harder to source and pricier to procure, partners may face shortened quote windows, less pricing certainty, and project timing risk, compelling MSPs and VARs to rethink their own quoting strategies, accelerate their sales cycles, and build supply chain agility into their roadmaps. Good luck out there. Also worth noting, Everpure, the company formerly known as Pure Storage, has completed a major strategic evolution, rebranding itself to signal a transition from traditional storage vendor to a broader AI-ready data management platform and announcing changes that partners should really pay attention to. The name change, which takes effect on the New York Stock Exchange March 5, reflects the company’s push into enterprise data orchestration and intelligence beyond simply shipping storage hardware and arrays. Central to this transformation is Everpure’s planned acquisition of data intelligence firm 1touch, a move designed to bring automated data discovery, classification, and semantic enrichment capabilities into its portfolio. This expands the enterprise data cloud vision, equipping enterprises to make data inherently AI-ready and more valuable across hybrid environments. Alongside that rebrand, Everpure has updated its partner engagement model with a new tiering structure that gives MSPs, resellers, and distributors clearer pathways to profitability and growth, reflecting the broader mission of the company going forward. Recent results show that the demand for data management and subscription services are driving double-digit growth, the company says, underscoring why partners should lean into Everpure’s evolving platform play. For channel pros, the message is that Everpure sees partners as critical to selling data-centric solutions in the AI era and is aligning its incentives and program structure accordingly. Up next, WatchGuard is positioning its latest platform updates as a way for MSPs to deliver what it calls enterprise-grade security to small and mid-sized customers, without the complexity typically associated with large enterprise tools. The company says the enhancements are focused on unifying endpoint, network, identity, and MDR capabilities into a single manageable platform designed for service providers. Key to the message is simplification. WatchGuard is emphasizing centralized management, automated threat response, and bundled security services that allow MSPs to deploy advanced protection like zero-trust network access, AI-driven threat detection, and 24/7 monitoring at scale and under predictable pricing models. For MSPs, the pitch is that this closes a long-standing gap, giving smaller customers access to security capabilities that more rival enterprise deployments, while still fitting MSP operational and margin requirements. WatchGuard argues that as threats become more sophisticated, the ability to offer enterprise-grade outcomes without enterprise-grade overhead is becoming a baseline expectation rather than a premium add-on. And speaking of more sophisticated threats to bring this week’s roundup home, new threat research from Amazon Web Services adding to the evidence that AI is actively changing how attacks are carried out, not just how they’re defended against. AWS researchers report seeing threat actors use AI-assisted techniques to more quickly identify and exploit vulnerabilities in perimeter devices, including Fortinet FortiGate firewalls, reducing the time between disclosure and real-world exploitation. The finding reinforces a growing concern for solution providers. Attackers are using AI to scale reconnaissance, speed up exploit development, and adapt attacks faster than traditional defenses expect. For MSPs and VARs, the implication is clear. Staying ahead now requires faster patching cycles, continuous monitoring, and security platforms that assume AI-accelerated threats are the norm and not an edge case. Those are some of the things we were paying attention to last week. This week on the podcast, expect to hear how Citrix is thinking of partners as it hands off more of its channel management to Arrow Electronics, a look at the role of identity in taming shadow AI, and how startup Lexful is aiming to redefine how MSPs think about documentation. I’m Robert Dutt for ChannelBuzz.ca. Have a great week!

Bu bölümde Seyfeddin'in Topkapı Sarayı gezisi, Xbox'daki üst düzey yönetici değişiklikleri, Mülksüzler ve Fahrenheit 451 kitapları ve Shrinking dizisi üzerine sohbet ettik. Bizi dinlemekten keyif alıyorsanız, kahve ısmarlayarak bizi destekleyebilir ve Telegram grubumuza katılabilirsiniz. :) Yorumlarınızı, sorularınızı ya da sponsorluk tekliflerinizi info@farklidusun.net e-posta adresine iletebilirsiniz. Zaman damgaları: 00:00 - Topkapı 17:35 - Xbox'ın Sonu 29:28 - Okuduklarımız, Fahrenheit 451 1:14:47 - Okuduklarımız, Mülksüzler 1:44:00 - İzlediklerimiz, Shrinking Bölüm linkleri: Monofor Xbox chief Phil Spencer is leaving Microsoft Crucial is shutting down — because Micron wants to sell its RAM and SSDs to AI companies instead Windows is Ruining New Laptops. Expedition 33 Writing to Learn Piranesi Persian Fire Fahrenheit 451 Old Man and the Sea Coraline Technofeudalism Proust and the Squid The Dispossessed Only the Paranoid Survive Inside Anthropic's existential negotiations with the Pentagon Shrinking The Godfather Mountainhead

Les modèles d’IA de la semaine, stockage sur verre sur plus de 10 000 ans par Microsoft, la suite de la RAM-pocalypse avec les investissements de Micron et Samsung, l’avenor de Tesla d’Elon Musk avec son robot-taxi (cybercab) et les enjeux juridiques de l’autopilot.  Me soutenir sur Patreon Me retrouver sur YouTube On discute ensemble sur Discord IA de la semaine Autodesk veut ses World Models. GLM 5 fois mieux ? Les LLM aussi l'ont sur le bout de la langue… Y'a une IA c'est Aya. Le Mistral est un vent du nord. Un gros câlin pour GGML. Mauvaise langue : bientôt de meilleures fantrads ! Je vois des gens qui sont morts… en vidéo. Tesla lance son robotaxi pas encore autonome. Avis de SSDécès Aux émirats, ça Cerebrasse pas mal de fric. Taalas ! Ton univers impitoyaaableuh ! Les datacenters, c'est toi plus moi plus eux plus tous ceux qui le veulent… Crise de la RAM ? Loué soit HP. Achetez votre SSD maintenant. Ou dans 3 ans. Le stockage verre l'infini et au-delà. Le Donut ? C'est du solide ! Participants Une émission préparée par Guillaume Poggiaspalla Présenté par Guillaume Vendé

State Rep Brad Christ joins Maria Keena after the US Department of Justice released a report on seclusion and restraint practices used by the Special School District. He has unrelated pending legislation that would allow school districts to withdraw from SSD.

Your next laptop is about to cost a lot more. So is your next phone, your next SSD, and pretty much every piece of consumer tech you've been planning to buy. The reason is not what you'd expect. The global memory supply is being devoured by AI. Samsung, SK Hynix, and Micron, the three companies that make 95 percent of the world's RAM, have been redirecting their manufacturing toward high-margin AI chips. The result is a consumer memory shortage so severe the industry is calling it RAMmageddon. In this episode, we break down what's actually happening behind the scenes, why data centers are now consuming 70 percent of all memory chips produced, and why Intel's CEO says there's no relief until 2028. We also look at the real-world price impact that's already hitting: Laptop prices up $55 to $765 depending on specs SSD prices surging 90 percent in one quarter Fewer smartphones being produced at higher price points The PC market projected to decline up to 9 percent in 2026 Possible delays for next-gen gaming hardware including the PS6 Plus, what this means for your tech purchasing decisions right now, and why this might actually be a good moment to rethink your relationship with upgrading. If you're planning any tech purchase in 2026 or 2027, this is the episode to listen to first. Subscribe to The Healthier Tech Podcast wherever you listen so you never miss an episode. This episode is brought to you by Shield Your Body—a global leader in EMF protection and digital wellness. Because real wellness means protecting your body, not just optimizing it. If you found this episode eye-opening, leave a review, share it with someone tech-curious, and don't forget to subscribe to Shield Your Body on YouTube for more insights on living healthier with technology.

Galaxy S26 Ultra vaza em unboxing; novo Privacy Display é revelado. Samsung Galaxy Z TriFold esgotou o estoque em menos de 10 minutos. Tela 'anticuriosos' do Galaxy S26 pode chegar em breve em celulares chineses. IA reconhece jutsus de Naruto em tempo real e dispara efeitos visuais. Apple testa iPhone 18 Pro em cor inédita para a série. Autora de ataque a tiros conversava com o ChatGPT, mas OpenAI não alertou a polícia.

A fotografia não está morrendo, mas sua base de valor mudou. O caso da Life Touch nos EUA, onde uma gigante da fotografia escolar enfrentou cancelamentos massivos devido à associação de um executivo com arquivos comprometedores (caso Epstein), serve como um lembrete severo sobre Gestão de Reputação e Risco de Terceiros. No mercado atual, sua ética e sua marca valem tanto quanto sua técnica.O fotógrafo de 2026 deve ser o editor crítico da tecnologia. Como Annie Leibovitz posando para a Givenchy, o profissional deve extrapolar a captura de luz para se tornar um ícone de sua própria visão estratégicaO ano de 2025 começou e as regras mudaram. Neste episódio do C.A.O.S. Fotográfico, analisamos o impacto dos novos geradores de retrato por IA, a chegada dos Self-Portrait Studios ao Brasil e como as novas ferramentas do Google (Pomeli e Liria) estão redesenhando o mercado de e-commerce e produtos.Principais tópicos:• A polêmica dos fotógrafos que lançam IAs com seu próprio estilo: Inovação ou "suicídio" de mercado?• Radar 2026: Os perfis de fotógrafos que sobreviverão à próxima onda tecnológica.• C2PA e a luta pela autenticação da imagem real.• O custo invisível do hardware: Por que seus cartões e SSDs estão tão caros?• Lições do caso Life Touch sobre reputação e gestão de crise.

The RAM-apocolypse continues of course, with hints of it hitting general manufacturers, and delay of gaming systems and even spinning harddrives.  At least Micron is making some PCIe 6 drives you cannot have.  Also, since we are sometimes audio geeks as well as PC, we talk about some bananas.  Seriously.  You'll just have to listen to get the scoop on bad Chrome extensions, bad Copilot, and bad password managers.  Until then, enjoy Unread Tournament 2004!Timestamps:0:00 Intro01:15 Patreon03:22 Food with Josh05:20 Acer and ASUS caught up HEVC patent dispute07:15 Intel's new annual GPU cadence09:00 Micron is making PCI-E 6.0 SSDs that you can't have11:10 WD CEO says storage is already sold out for 202614:07 Warning - many consumer electronics companies will fail this year22:25 Sony may push PS6 launch as far as 202922:55 US reportedly removes two Chinese memory companies from banned list25:54 RTX 5090 LIGHTNING is 5090 USD (list price, anyhow)29:35 Audio dragged through the mud - and a banana34:34 (In)Security Corner45:07 Gaming Quick Hits50:35 Jeremy reviews 25 USD speakers from Cyber Acoustics56:53 Picks of the Week1:08:51 Outro ★ Support this podcast on Patreon ★

Episode #590: Rumors are swirling in the gaming world that Sony may push back the launch of the PlayStation 6 as far out as 2028 or even 2029, thanks to emerging global chip shortages and rising memory prices that are reshaping next-gen console timelines. Reports from outlets like Bloomberg and market insiders suggest AI-driven demand for critical components like RAM and SSDs is forcing manufacturers to rethink hardware release schedules, and the PS6 could be one of the biggest casualties of this shift.Who are the XoneBros?We are your exclusive Xbox Series X & Game Pass weekly podcast. We are more than just a podcast though, we are a positive gaming and Xbox community. We are a group of friends who love gaming, comics, fantasizing about superpowers, and making lame jokes.We strive to bring you news, informative discussion, and rocking good times on a weekly basis all while discussing the world that is Xbox. We are the brothers you never had and the sisters you always wanted... we are the XoneBros. If you are looking for a positive gaming environment, you are always welcome here!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Support Us On YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X1TheGamer Daily Xbox News ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MrMcspicey Know Your Game⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Earlier this week, Apple today a "special Apple Experience" for the media in New York, London, and Shanghai, taking place on March 4, 2026 at 9:00am ET. It is notable that Apple is specifically using the word "experience," rather than "event." Unlike a full live-streamed event from Apple Park, the March 4 event in other cities is likely to be smaller in scale.The launch of several new Apple products is believed to be imminent. We're most likely to see the announcement of the iPhone 17e, a spec-bumped successor to the iPhone 16e, with rumored upgrades including an A19 chip, MagSafe, and Apple's C1X and N1 wireless chips. The device will apparently have a notch despite earlier rumors mentioning a Dynamic Island, and pricing will continue to start at $599 in the United States.The all-new low-cost MacBook is likely to arrive, featuring the A18 Pro chip, a 12.9-inch display, and a selection of fun color options. The MacBook Pro is also expected to receive the M5 Pro and M5 Max chips, and PCIe 5.0 support for faster SSD speeds.Additionally, the iPad Air is due a bump up to the M4 chip, while the entry-level iPad is expected to get the A18 chip with Apple Intelligence support.A refreshed MacBook Air, Mac Studio, and Studio Display are also possibilities, along with a new Apple TV and HomePod mini. The event could could include a demo of immersive Formula 1 content on the Apple Vision Pro, too.We also discuss iOS 26.4, which is now available in beta. The update includes a new Playlist Playground feature that lets users create a playlist with a text-based prompt, refinements to Apple Music's design, videos in Apple Podcasts, end-to-end encryption (E2EE) for ‌RCS‌ messages, and more.Ready to tackle bigger problems? Get started with Claude today at — https://www.Claude.ai/mac

Tony: -Carbonation Station: Georgia Peach Arizona Energy   -Snapmaker U1 early Impressions   -Incoming Apple Event: https://www.engadget.com/computing/laptops/apples-next-event-is-set-for-march-4-145931890.html   -Update on the Moderna Flu Shot Rejection: https://arstechnica.com/health/2026/02/trump-official-overruled-fda-scientists-to-reject-modernas-flu-shot/ Jarron:  -Rivian reported a profit! https://tech.slashdot.org/story/26/02/15/2333200/rivians-stock-spikes-27-after-reporting-144-million-profit-in-2025?utm_source=rss0.9mainlinkanon&utm_medium=feed   -Micron produces PCIe 6.0 SSD: https://hardware.slashdot.org/story/26/02/17/1710225/microns-pcie-60-ssd-hits-mass-production-at-28-gbs?utm_source=rss0.9mainlinkanon&utm_medium=feed   -Western Digital is out of hard drives: https://hardware.slashdot.org/story/26/02/16/188251/western-digital-is-sold-out-of-hard-drives-for-2026?utm_source=rss0.9mainlinkanon&utm_medium=feed   -End-to-end encrypted RCS coming to iPhones: https://www.theverge.com/tech/879792/apple-iphone-android-rcs-messages-end-to-end-encrypted Owen: -Robot. Boxing. Need I say more. https://restofworld.org/2026/chinese-robot-boxing-unitree-rek/   -This tracks. https://www.theverge.com/report/879327/eva-ai-cafe-dating-ai-companions Lando: -Elon Musk wants to move the cloud to space! https://apnews.com/article/elon-musk-orbital-ai-data-centers-xai-spacex-92bc8ad95593bf3b5b801ddf36427194   -New law to prevent electronic price gouging. https://gizmodo.com/dems-want-to-ban-surveillance-pricing-at-big-grocery-stores-2000722182

February 17, 2026Have you had your dose of The Daily MoJo today? Download the APP HERE"The Smell Of Napalm! | The Daily MoJo Ep:021726"The content covers a range of topics from geopolitical issues like Taiwan's role in US-China relations to personal anecdotes about aging and media nostalgia. It discusses Ghislaine Maxwell's legal troubles, technical challenges with SSDs, and societal perceptions of mental health and identity. The dialogue blends humor with serious commentary, reflecting on personal experiences and broader societal narratives.Phil Bell's Morning Update - Where's the tariff talk?:  HEREAllThingsTrains.comAllThingsTrainsPhil on X: HEREDan Andros - host of The QuickStart Podcast and Managing Editor at CBN.com - Makes an excellent point about the drawbacks of ChatGPT.FaithwireCBN NewsYouTubeOur affiliate partners:EMP Shield - Figuring out the odds of a devastating EMP attack on the United States is impossible, but as with any disaster, the chances are NOT ZERO, and could happen any day. This decade has proven that the weird and unexpected is right around the corner. Be prepared - protect your home, vehicle, even your generator - with EMP Shield. You'll save money and protect what's important at the same time!ProtectMyMoJo.com Be prepared! Not scared. Need some Ivermection? Some Hydroxychloroquine? Don't have a doctor who fancies your crazy ideas? We have good news - Dr. Stella Immanuel has teamed up with The Daily MoJo to keep you healthy and happy all year long! Not only can she provide you with those necessary prophylactics, but StellasMoJo.com has plenty of other things to keep you and your body in tip-top shape. Use Promo Code: DailyMoJo to save $$Take care of your body - it's the only one you'll get and it's your temple! We've partnered with Sugar Creek Goods to help you care for yourself in an all-natural way. And in this case, "all natural" doesn't mean it doesn't work! Save 15% on your order with promo code "DailyMojo" at SmellMyMoJo.comCBD is almost everywhere you look these days, so the answer isn't so much where can you get it, it's more about - where can you get the CBD products that actually work!? Certainly, NOT at the gas station! Patriots Relief says it all in the name, and you can save an incredible 40% with the promo code "DailyMojo" at GetMoJoCBD.com!Romika Designs is an awesome American small business that specializes in creating laser-engraved gifts and awards for you, your family, and your employees. Want something special for someone special? Find exactly what you want at MoJoLaserPros.com  There have been a lot of imitators, but there's only OG – American Pride Roasters Coffee. It was first and remains the best roaster of fine coffee beans from around the world. You like coffee? You'll love American Pride – from the heart of the heartland – Des Moines, Iowa. AmericanPrideRoasters.com   Find great deals on American-made products at MoJoMyPillow.com. Mike Lindell – a true patriot in our eyes – puts his money where his mouth (and products) is/are. Find tremendous deals at MoJoMyPillow.com – Promo Code: MoJo50  Life gets messy – sometimes really messy. Be ready for the next mess with survival food and tools from My Patriot Supply. A 25 year shelf life and fantastic variety are just the beginning of the long list of reasons to get your emergency rations at PrepareWithMoJo50.comStay ConnectedWATCH The Daily Mojo LIVE 7-9a CT: www.TheDailyMojo.com Rumble: HEREOr just LISTEN:The Daily MoJo ChannelBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-daily-mojo-with-brad-staggs--3085897/support.

2:45:22 – Frank in New Jersey, plus the Other Side. Topics include: Rock boat, Livingston No. 331, chronoscopes, timelines theory, is it all stories, explanations, computer backup, flash drive and SSD prices have increased dramatically, snow melting, nut.com order, macadamia nuts, Thomas Dolby, new music for the cars, Howard the Duck (1986), The Warp Subheadquarters, Weird Little […]

2:45:22 – Frank in New Jersey, plus the Other Side. Topics include: Rock boat, Livingston No. 331, chronoscopes, timelines theory, is it all stories, explanations, computer backup, flash drive and SSD prices have increased dramatically, snow melting, nut.com order, macadamia nuts, Thomas Dolby, new music for the cars, Howard the Duck (1986), The Warp Subheadquarters, Weird Little […]

Retro and current gen gaming chat, with Trev and Stu, its the Console Shockcast! PC gaming handhelds have evolved fast since Valve shook things up by revealing the Steam Deck in 2021—but what should a true second-generation Valve handheld look like? Trev and Stu break down what would actually make a Steam Deck 2 a meaningful upgrade, drawing on features from newer PC handhelds and asking which ones Valve should steal, refine, or ignore entirely. In this episode: We kick things off with EA FC 26 somehow running on a 12-year-old laptop Valve nailed the original form factor—but is it time for a higher-resolution display? Modern handhelds are pushing higher TDPs for extra performance—should Valve move beyond the 15-watt limit? A more modular design, including easily user-replaceable SSDs, for better long-term upgrades Is a 5× performance jump over the original Steam Deck the bare minimum expectation? Bigger batteries for longer, truly untethered gaming sessions Hall-effect joysticks to finally put stick drift in the bin A next-gen dock with Switch-style performance boosts when docked If that's still not enough power… is it time for external GPU support? Whether you're all-in on Valve's handheld future or just curious where PC portables are heading next, this one's for you. Check out Trev and Al’s other podcast where they reminisce about a different episode of Star Trek every month! : https://longrangesensors.com/episodes Intro/Outro Music – Turn The Page (Tutorial Theme) – Ridge Racer Type 4 (1998) – Sony Playstation – Composer(s): Hiroshi Okubo

Everybody isn't streaming music as much as we think…The LowdownBeware: ApplePay email phishing scamWhy you should use an SSD with Final Cut Pro for iPadWho's keeping iTunes alive?2nd String“Eco-anxious” women aren't adopting AI as fast as menWho's really doing the work when AI replaces jobsAre you using MoltBot AI on your machine?For The CultureTech-ing While Black: Clarice Phelps - ChemistThe HookupHow to use Apple Intelligence as a Chatbot

Thinking about leaving the console life behind for the modded maps and high-frame rates of DayZ PC? This week, Andy and Dave break down the complex world of hardware for the absolute beginner. We know how daunting the switch can be, so we're simplifying what matters most when building or buying your first gaming rig.From CPU bottlenecks to the importance of an SSD, we explain what you should prioritize to get the smoothest experience in Chernarus and beyond!

China revela projeto de nave de guerra ao estilo 'Star Wars'. Tank X: celular 'monstro' tem bateria de 17 mil mAh e projetor 1080p. Controle do PS6? Sony trabalha em joystick com botões que mudam de lugar. Netflix diz que usuários podem “cancelar assinatura' se preço aumentar com a compra da Warner. E RESUMÃO DO BRIFÃO (o remember da semana) trazendo que quem precisar comprar computador ou peça nova vai tomar susto porque Memórias RAM, SSDs e placas de vídeo ficaram bem mais caras. CEO da Hostinger conversou com o The Brief de que o comércio global enfrenta ondas de transformação e que estamos no meio de mais uma delas. E OpenClaw chamou atenção por prometer ser algo próximo de um Jarvis da vida real.

Hace un par de meses, en pleno montaje de mi nuevo NAS casero, me encontré con el problema de no poder probar discos duros HDD o SSD en mi ordenador de una forma sencilla. Así que fui a Amazon y le puse solución rápidamente.

Ahoy there, pirates! This week, I'm joined by Caleb as we sit down to talk about the Doubloon reset that's coming with Season 19, the overall cadence of Rare's development for the game, changes to Hourglass, and some other topics. Caleb wanted me to include the notes from the show so you can get an idea of what we chatted about for reference. Check them out below! Support: https://www.patreon.com/keelhauledpodcast Contact Info: Bluesky: https://bsky.app/profile/captlogun.bsky.social Email: Captlogun@gmail.com Twitter: https://twitter.com/capt_logun Twitch: https://www.twitch.tv/capt_logun Gamertag: CaptainLogun Community: Keelhauled Podcast Discord: https://discord.gg/5VRabwR Other Places to Listen: iTunes: https://itunes.apple.com/us/podcast/keelhauled-a-sea-of-thieves-podcast/id1351615675?mt=2 Spotify: https://open.spotify.com/show/2BrEqA6prz6t31wlFgaWaS Merch: Teespring: https://teespring.com/stores/keelhauled-podcast   --- Show Notes --- Doubloons History Earned by doing Bilge Rat commendations (Actually called bilge rat doubloons) > Stopped giving them away from comms, now through certain items (and insider rewards) > Added them to seasons Used to buy stuff from the Black Market limited time items themed around the updates > bilge rat voyages & letters of recommendation & convert to gold > past seasonal items Now Now more “scarce” and while you can “earn them in small amounts at sea” (confirmed reaper chest & season track) main source will be a monthly event, and those sources will earn you smaller amounts. Black Market: Past Seasonal items, Past limited-time items (don't know if letters of recommendation or gold revert will remain) Don't want to argue limited-time items for the umpteenth time. Seasonal items already come back for doubloons, now they will just be in the black market instead of their respective shops. Blackmarket used to sell new recolors for gold, and one day Rare threw them all into their respective shops instead; why are we going backwards here? Why convert the current past seasonal items to gold if you're still going to charge doubloons for new past seasonal items? What's changing? Past season in the black market instead of the respective shops Past limited-time items as well Doesn't solve the issue of long-time players having nothing to spend doubloons on. Dev Cycles 2018-2019: Big updates every couple of months with small updates in between Small updates called Bilge Rat Adventures From release to anniversary update Hungerdeep > skeleton thrones, gunpowder skeletons, mermaid statues > cursed sails 2019-2020: Small updates every month From a few months after the anniversary update to the festival of giving (2020 - 2nd one) Fort of the Damned > Seabound Soul > Festival of Giving > Legends of the Sea > Crews of Rage 2020-2023: Big updates every couple of months with small updates in between Small updates are called events. Bile Rat Adventures was now just an umbrella section for commendations tied to the new updates. Season 1 > festival of fishing, vault raiders > Season 2 2022: Events dropped for Adventures Season 5 - Season 8 The start of Season 9 had the last adventure Events were now sparsely used for some time-limited things or to track stuff like community day 2023: Small updates every month Season 9-10 Features released across the season 9: Monkey Island 10: guilds & safer seas 2023-2025: Big updates every couple of months. Season 11-14 Notice I didn't say small updates in between. There were, but they were mostly gameplay improvements and bug fixes. This was a period when we were really feeling that they were releasing things before they were fully ready. 2025-current (2026): Small updates every month Season 15-Current (18) These updates were all a part of one big theme. For example: Season 15 ancient megs, then hunting spears & ambient wildlife, wild boars & ambient wildlife. Season 17 was intentionally spread feature release across the season, now in the form of acts. Of course, there were always delays and stuff Recurring Events Seems like they're setting up for the future. Get a suite of recurring events. Right now, we know of: Last Ship Standing for Hourglass Bilge Rat Weekender to earn doubloons Molten Sands Fortress player-activated event Smuggler Heist for smuggler loot at sea forts (key drop mechanic was cool by the way, would love to see this on a bigger scale) Maybe Reaper Fortresses' mega stash Hourglass Commendation fixing Supply (baseline starts similar to arena's equal starts) Circle (puts a soft timer on matches similar to Arena's hard timer) Last Ship Standing (puts multiple sloops in a fight similar to Arena's multi-ship fight) Friction Auto-Raising of emissary flags Lots of these things people been asking for since its release, glad they're focusing on it now Commendation fixing Supply (baseline starts similar to arena's equal starts) Circle (puts a soft timer on matches similar to Arena's hard timer) Last Ship Standing (puts multiple sloops in a fight similar to Arena's multi-ship fight) Friction Auto-Raising of emissary flags Lots of these things people been asking for since its release, glad they're focusing on it now File Size Currently: 129 GB (varies by console) 2019: optimization 47gb to 27gb 2022: 85 GB And, Overwatch 2 is 22 gigs. CoD Warzone 2 is 26 gigs. CoD Modern Warfare 2 is 72 gigs. Halo is 50 gigs. 2024: 103gb Helldivers: optimization 154gb to 23gb “These loading time projections were based on industry data - comparing the loading times between SSD and HDD users where data duplication was and was not used…We have real measurements specific to our game instead of industry data. We now know that the true number of players actively playing HD2 on a mechanical HDD was around 11%.”

Let's continue the conversation- send me a text!What does it really mean to live with single-sided deafness?In this episode of the EmpowEAR Audiology Podcast, I sit down with a mom and her teen daughter to share their family's journey with single-sided deafness (SSD) — from diagnosis and daily listening challenges to the decision to pursue a cochlear implant and life beyond activation.Although SSD can appear “invisible,” this conversation highlights the real impact it can have on listening effort, fatigue, confidence, and identity — especially in school and social settings. Together, we explore what it's like to grow up with hearing in one ear, how cochlear implantation entered the conversation, and what families and professionals need to understand to better support students with SSD.This episode blends lived experience with educational insight, offering encouragement, perspective, and reassurance for families navigating similar decisions.If this episode resonated with you, please subscribe, rate, and share — it helps more families and professionals find the stories they need to hear.For more information about Dr. Carrie Spangler- check out her Linktree at https://linktr.ee/carrie.spangler. For transcripts of this episode- visit the podcast website at: https://empowearaudiology.buzzsprout.com

Linktree: ⁠https://linktr.ee/Analytic⁠Join The Normandy For Additional Bonus Audio And Visual Content For All Things Nme+! Join Here: ⁠https://ow.ly/msoH50WCu0K⁠In the Notorious Mass Effect segment, Analytic Dreamz dives deep into the RAM Price Crisis (2025–2026), unpacking the key data, market drivers, and real consumer impact behind the dramatic surge in memory costs.RAM prices have skyrocketed into a sustained inflation cycle heading into 2026, fueled by explosive AI data center demand that prioritizes high-bandwidth memory (HBM) and diverts supply from consumer DRAM. Manufacturing bottlenecks, limited cleanroom capacity, and lithography constraints exacerbate the shortage, while major players like Micron exit consumer RAM sales (Crucial brand in December 2025) to focus on higher-margin AI segments. Samsung and SK hynix report massive profit surges amid the boom.DDR5 RAM has seen prices more than quadruple (+340–344%) since July 2025, with a +27% month-on-month jump from December to January 2026. DDR4 and older standards are rising even faster recently (+46% MoM in January), narrowing the gap with newer tech. ComputerBase's fixed-basket analysis confirms average prices have quadrupled versus September 2025, with Germany's retail tracking—Europe's largest PC hardware market—mirroring global trends, including growing secondary-market distortions.Secondary effects hit related components hard: SSDs up +79%, hard drives +53%, GPUs +14% (with street prices far exceeding MSRP on models like RTX 5070 Ti). Specific examples include 2TB NVMe drives jumping 60–159% and NAS HDDs doubling.Analyst forecasts from TrendForce and Omdia point to +50–60% DRAM contract price hikes in Q1 2026, following 40–70% YoY increases in 2025. PC shipments grew +9.2% in 2025 but face potential declines in 2026, while smartphone output forecasts drop ~20% for some brands, risking +30% price hikes or spec downgrades. Gaming consoles may see delays or higher launch prices.Apple's upgrade costs (e.g., $400 for 16GB→32GB) already outpace comparable DDR5 sticks, with M6 Macs potentially facing steeper hikes or supply delays if AI firms continue outbidding.The core takeaway: This AI-driven structural shift has quadrupled RAM prices in under six months, with volatility persisting through 2026. A plateau is the most optimistic scenario—no full reversal in sight. Analytic Dreamz breaks down the data, root causes, and widespread ripple effects across PCs, smartphones, and beyond.Support this podcast at — https://redcircle.com/analytic-dreamz-notorious-mass-effect/donationsPrivacy & Opt-Out: https://redcircle.com/privacy

Main pointsOpenAI's Financial Instability: OpenAI is facing a catastrophic financial burn of approximately $15 million daily, with projected losses exceeding $14 billion in 2026. This is coupled with a mass exodus of key leadership (CTO, Chief Research Officer, and Chief Scientist) and a massive $134 billion lawsuit from Elon Musk.The Component Crisis & Market Saturation: OpenAI's hoarding of GPUs, RAM, and SSDs has caused consumer prices to skyrocket (e.g., DDR5 RAM jumping from $300 to over $1,000). Despite this, newer models like GPT-5 are reportedly disappointing users, while Google's Gemini has surged to 650 million monthly active users.The "Agent" Marketing Myth: An internal Google playbook reveals that 99% of "AI Agents" currently on the market are merely "marketing buzzword packaging" consisting of simple API calls. True autonomous agents require a rigorous "AgentOps" infrastructure—including four-layer evaluation frameworks and security protocols—that most startups currently lack.Unsustainable Infrastructure & Economics: Experts warn that the AI bubble mirrors the 2008 housing crash. The "fundamental math" is failing: energy and capital costs are quintupling while performance gains diminish, requiring OpenAI to generate $2 trillion in annual revenue (15x current growth) just to remain viable.The AI Layoff Wave: Significant job cuts are being attributed to AI restructuring and automation, with 245,000 tech jobs lost in 2025. Major 2026 layoffs include 48,000 at UPS due to automation and 30,000 corporate roles at Amazon, signaling a shift from human capital to AI integration.Referenced X Users @BoringBiz_@nitinthisside_ @anon_opin

From Pepcom at CES 2026, Satechi Product Manager Manny Garcia describes the features of the company's most powerful docking station yet, built around Thunderbolt 5. Despite its compact size, the dock delivers up to 120Gbps bandwidth, supports 8K displays, provides up to 140W of host power, and includes a built-in SSD enclosure for storage expansion without sacrificing ports.  Show Notes: Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

From Pepcom at CES 2026, Satechi Product Manager Manny Garcia describes the features of the company's most powerful docking station yet, built around Thunderbolt 5. Despite its compact size, the dock delivers up to 120Gbps bandwidth, supports 8K displays, provides up to 140W of host power, and includes a built-in SSD enclosure for storage expansion without sacrificing ports.  Show Notes: Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

At Pepcom during CES 2026, ShiftCam unveils a new ProRig system with more mounting points, stability, and a redesigned filter lineup for better cinematography. Founder and CEO Benson KL Chiu explains how their company is working to make mobile creation even better with options such as their Explore lens kits, including telephoto and macro options and Plank, a phone-first SSD line built for high-bandwidth ProRes shooting.  Show Notes: Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

What happens when Kent decides to use the podcast as an SFF build livestream? What about a build using DDR4 memory?? It probably doesn't get more exciting than this.  Unless you count discussing the impending pricing DOOM for SSDs and the Google enabled bluetooth security flaw.So much more fun in the timestamps below!Timestamps:0:00 Intro00:41 Patreon01:29 Food with Josh03:03 Checking in on Kent04:42 RIP cheap SSDs06:07 Samsung and SK hynix reportedly cut NAND supply to drive profits07:00 Checking in on Kent again07:38 NVIDIA GPU prices are probably going up soon12:27 RTX 5070 Ti and 5060 Ti 16GB are not EOL after all14:18 NVIDIA releasing Arm-based chips for Windows laptops this year?17:33 Micron acquires PSMC fab to expand memory operations19:38 Dev patches WINE to make Photoshop 2021, 2025 run on Linux21:35 Josh checks in on Kent25:32 (In)Security Corner35:34 Another check on Kent's build progress36:38 Gaming Quick Hits40:24 Kent makes more progress41:36 Picks of the Week55:34 Outro ★ Support this podcast on Patreon ★

We talk about raising RAM chip prices and where this leads us in America-=Links=-If you would like to join in on the conversation, Join me on Discord.X: @magicsenshiRumble: (Multi-Dimensional Travels of Captain Epoch) https://rumble.com/c/c-5613161Fringe Radio: https://fringeradionetwork.comSpirit Force: https://faithbucks.comIf you would like to be a guest on the show or have a topic that you want explored, please Email me with the subject "Guest"Email: captainepoch79@proton.meIf you want to support this Podcast,https://paypal.me/Magicslayer/Cashapp $CaptainEpoch 

Join Alan Perry, technology tutor and host, with Terry Sirup, Computer Tech and Store Sales Manager at Priority 1 Computers, for the latest in tech news, deals, and tips. This weekend, they'll cover the hottest mobile plans, discounts on laptops and gadgets, rising RAM and SSD prices, and major updates from Apple, Microsoft, TikTok, and OpenAI. Plus, essential advice on avoiding online scams and protecting your security and privacy.

This week we dig into the hardware shortage caused by AI, answer your questions, and dig into managing ZFS via the web! -- During The Show -- 00:45 Intro Cheap managed POE switch Switch hops 05:35 Certificates - Randy Step CA (https://smallstep.com/docs/step-ca/) XCA (https://www.hohnstaedt.de/xca/) Certificate Authority (https://en.wikipedia.org/wiki/Certificate_authority) ACME (https://en.wikipedia.org/wiki/Automatic_Certificate_Management_Environment) LDAP (https://en.wikipedia.org/wiki/Lightweight_Directory_Access_Protocol) Kerberos (https://en.wikipedia.org/wiki/Kerberos_(protocol)) Steve's use of LDAP LDAP with PKI link (https://enterprise.arcgis.com/en/portal/11.4/administer/linux/use-ldap-and-pki-to-secure-access-to-your-portal.htm) ACME and Domain registrars dot tk (http://www.dot.tk/en/index.html?lang=en) Ansible collection (https://docs.ansible.com/projects/ansible/latest/collections/community/crypto/acme_certificate_module.html) 19:19 Ebook Management - Jeremy Steve went to audio books Calibre (https://docs.ansible.com/projects/ansible/latest/collections/community/crypto/acme_certificate_module.html) PDF manuals folder Audio bookshelf (https://www.audiobookshelf.org/) Paperless NGX (https://docs.paperless-ngx.com/) 23:50 Light Sync - Peter UltraStar Deluxe (https://usdx.eu/) Animux (https://usdb.animux.de/) USBD_Syncer (https://github.com/bohning/usdb_syncer/releases) Doing events Why Noah likes Karaoke Effect of "shared experiences" Steve's Christmas tree lights DMX lighting WLED Project (https://kno.wled.ge/) 33:03 News Wire Firefox 147 - firefox.com (https://www.firefox.com/en-US/firefox/147.0/releasenotes/) Thunderbird 147 - thunderbird.net (https://www.thunderbird.net/en-US/thunderbird/147.0/releasenotes/) Grub 2.14 - phoronix.com (https://www.phoronix.com/news/GRUB-2.14-Released) Gnome 49.3 - discourse.gnome.org (https://discourse.gnome.org/t/gnome-49-3-released/33609) Wine 11 - theregister.com (https://www.theregister.com/2026/01/15/wine_11_arrives_faster_and/) Q4OS 6.5 - q4os.org (https://www.q4os.org/forum/viewtopic.php?id=5903) Endeavour OS Genymede Neo - endeavouros.com (https://endeavouros.com/news/ganymede-neo-is-out-with-core-updates-and-upstream-nvidia-changes/) Tails 7.4 - torproject.org (https://blog.torproject.org/new-release-tails-7_4/) Linux Mint 22.3 - blog.linuxmint.com (https://blog.linuxmint.com/?p=4981) BeaglePlay PowerVR - phoronix.com (https://www.phoronix.com/news/BeaglePlay-PowerVR-Success) StackChan - cnx-software.com (https://www.cnx-software.com/2026/01/13/m5stack-stackchan-is-a-cute-open-source-ai-desktop-robot/) Mentra's Smart Glasses - engadget.com (https://www.engadget.com/wearables/mentras-first-smart-glasses-are-open-source-and-come-with-their-own-app-store-150021126.html) VoidLink - checkpoint.com (https://research.checkpoint.com/2026/voidlink-the-cloud-native-malware-framework/) darkreading.com (https://www.darkreading.com/cloud-security/voidlink-malware-advanced-threat-linux-systems) csoonline.com (https://www.csoonline.com/article/4117038/sophisticated-voidlink-malware-framework-targets-linux-cloud-servers.html) Boltz-1 - labmanager.com (https://www.labmanager.com/mit-researchers-release-boltz-1-an-open-source-alternative-to-alphafold-3-33385) Photoshop on Linux - videocardz.com (https://videocardz.com/newz/adobe-photoshop-can-now-install-on-linux-after-a-redditor-discovers-a-fix#disqus_thread) No Commits to MySQL Repo - devclass.com (https://devclass.com/2026/01/13/open-source-mysql-repository-has-no-commits-in-more-than-three-months/) Senate Inquiry - jdsupra.com (https://www.jdsupra.com/legalnews/recent-inquiry-from-senate-intelligence-2158429/) EU Tech Sovereignty - cybernews.com (https://cybernews.com/tech/europe-looks-for-ways-to-cut-cord-from-big-tech/) biometricupdate.com (https://www.biometricupdate.com/202601/eu-calls-for-input-on-open-source-as-it-looks-toward-tech-sovereignty) 35:03 SysAdmins & Smartphones Lowering friction Graphical vs CLI Webzfs (https://github.com/webzfs/webzfs) Exposing ZFS via Web UI Cockpit Putting Webzfs into Cockpit Write in! 43:43 New ESP32 ESP32-E22 Tri-band WiFi What is an ESP32 Steve's use of ESP32 Bandwidth Getting started with ESP32 linuxgizmos.com (https://linuxgizmos.com/esp32-e22-debuts-with-tri-band-wi-fi-6e-and-dual-mode-bluetooth/) 48:05 AI Hardware Run RAM spikes 300%-400% SSD price spikes Fab Capacity Bitcoin effect ARS Technica (https://arstechnica.com/gadgets/2026/01/ram-shortage-chaos-expands-to-gpus-high-capacity-ssds-and-even-hard-drives/) -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard (http://podcast.asknoahshow.com/476) Phone Systems for Ask Noah provided by Voxtelesys (http://www.voxtelesys.com/asknoah) Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix (https://element.linuxdelta.com/#/room/#geeklab:linuxdelta.com) -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard (http://www.asknoahshow.com) Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies (http://www.altispeed.com/) Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux (https://twitter.com/kernellinux) Ask Noah Show (https://twitter.com/asknoahshow) Altispeed Technologies (https://twitter.com/altispeed)

We're back for Episode 170 of Pixel Gaiden! In this episode Cody and Eric catch up on the news and cover Battle Of The Systems: Zynaps (ZX Spectrum) vs Armalyte (c64) Plus - All three hosts talk about their best things from 2025!   7:37 - Quick Questions 22:48 - Patreon Song 26:17- Tea Time With Tim - Indie Developer Spotlight #1 43:58 - News 1:33:25 - Battle Of The Systems: Zynaps (ZX Spectrum) vs Armalyte (c64) 2:18:43- Best of 2025   News -    Cody - https://www.indieretronews.com/2025/11/world-of-spells-this-first-person.html#more  Tim - Chikubi Ninja – MSX2 platformer from the MSX GameDev 25 competition.   Chikubi Ninja is an auto-scrolling action-platformer shoot-‘m-up with a groovy PSG soundtrack, where sharp reflexes and quick decisions are key to defeating every opponent. Designed for MSX2, but taking advantage of the MSX2+/turboR scrolling feature if present.  https://www.msxdev.org/2025/12/27/msxdev25-21-chikubi-ninja/  Eric - After 25 Years, Google Has Finally Killed Dreamcast Web Browser Support | Time Extension  https://www.timeextension.com/news/2025/12/after-25-years-google-has-finally-killed-dreamcast-web-browser-support  Tim – Bridle for the C64 from the awesome Roy Fielding (aka Roysterini) has now been released, a play on his previous release Turdle. Also a game thats been in dev for a while “eat ya greens” maybe back in development and out later this year.  https://megastyle.itch.io/birdle-c-64  Eric - Fire Emblem: Path of Radiance Burns onto Switch Online  https://www.retronews.com/fire-emblem-path-of-radiance-switch-online/  Cody – Marble Madness for 2026!  https://www.retronews.com/marbles-marbles-steam/  Eric - 'About Fishing' Is What You Get When You Combine Shenmue With Sega Bass Fishing, Apparently  https://www.timeextension.com/news/2026/01/about-fishing-is-what-you-get-when-you-combine-shenmue-with-sega-bass-fishing-apparently  Tim – Latest installment of Vix's series on Hudson Soft has been released. In part 4 Vix takes a look at the ill fated PC-FX console and sets a few things historically right about the system that has been misreported over time.  https://youtu.be/dg9dJ_0aHs8  Cody - https://www.timeextension.com/news/2026/01/someone-finally-did-it-this-homebrew-dreamcast-game-uses-two-vmu-displays-at-once    Eric - SN Operator lets you play actual SNES carts on your PC, pre-orders open Dec. 30th, 2025  https://gonintendo.com/contents/56332-sn-operator-lets-you-play-actual-snes-carts-on-your-pc-pre-orders-open-dec-30th-2025      Tim - Sega Channel on MiSTer (via RetroRGB) - One of the first download services for video game consoles that was released in the 90's for the Sega Genesis and only available via Time Warner Cable service.  The core is a modified version of the Mega Drive core, designed to run Sega Channel Revival ROMs released by BillyTime! Games.  https://retrorgb.com/sega-channel-on-mister.html  Cody - https://www.timeextension.com/news/2025/12/ais-insatiable-hunger-for-ram-is-going-to-play-havoc-with-the-emulation-handheld-industry-in-2026   Eric - Sega co-founder David Rosen dies aged 95 | Games | The Guardian  https://www.theguardian.com/games/2026/jan/05/sega-co-founder-david-rosen-dies  Cody – Super Important! https://www.timeextension.com/news/2025/12/who-created-the-term-metroidvania-gaming-historian-critical-kate-tries-to-find-out  Eric - Retro-inspired Turn Based Tennis Title Hardcourt Balls Announced  https://www.retronews.com/hardcourt-balls-announced/    Tim – PiMiga5 by Chris Edwards has been released, likely to be the last version. This is a BareMetal build of an Amiga emulator system that can be used on lots of different Intel or Arm based systems. It comes in an image you upload to an SD card or USB stick to boot from, you can also install it on an SSD.  Not only does it provide Amiga emulation, but within it, it also emulates early Mac systems and allows you to run early Mac games. You do however need to provide kickstart ROMs to get it working, but if you own Amiga Forever from Colanto then you already have them! Its a great way to breathe new life into old hardware by turning it in to an Amiga.  https://www.youtube.com/watch?v=OFa8YWv6j98  Eric – 2048 for Pico-8 (GREAT VERSION!)  https://www.lexaloffle.com/bbs/?tid=153397  Please give us a review on Apple Podcasts! Thanks for listening! You can always reach us at podcast@pixelgaiden.com. Send us an email if we missed anything in the show notes you need. You can now support us on Patreon.  Thank you to Henrik Ladefoged, Roy Fielding, Daniel James, 10MARC, Eric Sandgren, Brian Arsenault, Retro Gamer Nation, Maciej Sosnowski, Paradroyd, RAM OK ROM OK, Mitsoyama, David Vincent, Ant Stiller, Mr. Toast, Jason Holland, Mark Scott, Vicky Lamburn, Mark Richardson, Scott Partelow, Paul Jacobson, Steve Rasmussen, Steve Rasmussen's Mom, Retro Gamer Nation, Peter Price, Brett Alexander, Jason Warnes, Josh Malone (48kram), AndrewSan, Joe Ochwat, John Shawler, and Adam from Commodore Chronicles for making this show possible through their generous donation to the show.  

Your cloud SSD is sitting there, bored, and it would like a job. Today we're putting it to work with DiskCache, a simple, practical cache built on SQLite that can speed things up without spinning up Redis or extra services. Once you start to see what it can do, a universe of possibilities opens up. We're joined by Vincent Warmerdam to dive into DiskCache. Episode sponsors Talk Python Courses Python in Production Links from the show diskcache docs: grantjenks.com LLM Building Blocks for Python course: training.talkpython.fm JSONDisk: grantjenks.com Git Code Archaeology Charts: koaning.github.io Talk Python Cache Admin UI: blobs.talkpython.fm Litestream SQLite streaming: litestream.io Plash hosting: pla.sh Watch this episode on YouTube: youtube.com Episode #534 deep-dive: talkpython.fm/534 Episode transcripts: talkpython.fm Theme Song: Developer Rap

The storage apocalypse has arrived. An old friend drops by to talk survival strategies as prices explode, and we pitch our own unapologetically 90s approach to stretching storage.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED. Support LINUX UnpluggedLinks: