Podcasts about hdds

Im Juli kommt FSR 4 für RDNA 3, bei RDNA 2 dauert es noch bis "Anfang 2027". Warum? Dazu hat sich AMD jetzt etwas detaillierter geäußert und Fabian erklärt in einem Deep Dive, was dahinter steckt. Von FSR 4 für RDNA 3 schon kurzfristig profitieren wird die Steam Machine, denn die scheint jetzt doch noch in diesem Monat und nicht erst später im Jahr auf den Markt zu kommen. Das moderne Upscaling steht der Konsole definitiv gut, aber lässt das aktuelle Marktumfeld am Ende nicht jeden guten Ansatz am Preis verpuffen? Bei den Speicherpreisen ist jedenfalls keine Entspannung in Sicht: RAM und SSDs werden auf hohem Niveau zwar nur noch geringfügig teurer, aber sie werden es - und HDDs haben jetzt erstmals ebenfalls die 100-%-Preisaufschlag-Marke gegenüber September 2025 genommen. Ein großes Lob gibt es abschließend für die aktuellen Community-Benchmarks, die am letzten Wochenende mit einer Aktion zum 3DMark Zuwachs erhalten haben. Viel Spaß beim Zuhören!

The back episodes finally make it online, this is number 3 in a series of episodes that did not get posted, but are now!Brett is out (which is why these didn't get posted) - but the show is very fine, up to our usual standards.  Computex hits (and misses), the 5800X3D comeback, our RX 9070 GRE review, the ZimaCube 2 Pro and even a VS Code zero day and ZeroSpace gaming!  Enjoy!Timestamps:0:00 Intro1:09 Patreon1:38 Food with Josh (or not)3:38 Computex highlights begin - AMD was busy6:47 Ryzen 7 5800X3D returns8:57 Reviewing the RX 9070 GRE (and extended pricing discussion)22:57 NVIDIA at Computex34:00 Intel wants to build back their reputation36:36 Noctua at Computex40:11 Corsair's announcements include a pretty sweet looking case46:32 RIP 24-pin ATX connector as everything shrinks49:52 Qualcomm has potentially gone insane with the 6G stuff58:43 MSI has world's first triple mode QD-OLED gaming monitor1:01:02 A very fast NAS (just don't try to buy big HDDs right now)1:06:43 (In)Security Corner1:13:55 Gaming Quick Hit1:19:52 Picks of the Week1:32:55 Outro ★ Support this podcast on Patreon ★

   ✨ Agena Astro |

Seagate just reported its best free cash flow in a decade. EPS is up 115% year over year. Revenue grew 44%. Management is calling it a structural shift — the idea that nearline hard disk drives have permanently broken out of their long secular decline thanks to AI data center demand.The numbers are real. The demand from hyperscalers is real. The Mozaic 4 platform shipping at 40-plus terabytes per device is real, and the Mozaic 5 roadmap targeting over 50 terabytes in late 2027 is genuinely impressive. When AI inference needs to recall vast quantities of stored data almost instantaneously, nearline HDDs are exactly the right tool, and Seagate is the dominant supplier. The $1.1 trillion in remaining performance obligations that cloud providers have committed to accelerated compute infrastructure means there is a multi-year demand runway here that is not in dispute.What is in dispute is whether calling this a structural shift — rather than a very powerful cyclical upswing driven by a once-in-a-generation CapEx surge — is accurate. Hard disk drive technology is mature. NAND flash and SSDs will continue taking market share over a long enough time horizon. And Seagate, for all its current dominance, is still a price-taker in a commodity memory market. The party is real. The question is how long it lasts and what you do while it's happening.In this excerpt from a Semi Insider live Q&A session, CSI works through every layer of Seagate's Q3 FY2026 results and close with something genuinely useful for investors: a three-part framework for handling a commodity stock that is over-earning in a cycle without knowing exactly when it ends.What we cover:— Seagate Q3 FY2026: $3.1B revenue (+44% YoY), 47% gross margin, EPS +115%— Best free cash flow in a decade: $953M and the operating leverage story— Q4 FY2026 guidance: $3.45B revenue (+41% YoY), EPS of $5 (+123% YoY)— The structural shift thesis: what management is claiming and what history says— Nearline HDD explained: why AI inference changed the demand equation— Mozaic 4 shipping now, Mozaic 5 roadmap to late 2027— Data center revenue: $2.5B of $3.1B total — hyperscaler dependency— The $1.1T cloud RPO and Seagate's multi-year runway— Reverse DCF: 56% EPS growth over three years — what it implies at $687— Three frameworks for handling an over-earning commodity stock— The 2028 risk: debt paydown, shareholder returns, and the inevitable washoutMembers of Semi Insider get the full live session including extended Q&A and the complete research. Join at chipstockinvestor.com

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

US equities were mostly higher in Monday trading, ending a bit off best levels. Big tech was mostly higher with NVDA the upside standout. Other outperformers included energy (crude), defense (Iran), software, banks (particularly regionals), PE, insurers, steel, rails, small-caps, and E&Cs. Laggards included airlines (fuel-price concerns), homebuilders (yields), semis, HDDs, managed care (ELV), pharma/biotech, MedTech, building products, travel/tourism, casual diners, apparel, housing-related retail, HPCs, beverages, and China tech. Treasuries came under meaningful pressure with yields up 9-10 bp at the short end of the curve. Dollar index was up 1.0%. Gold finished up 1.2%, though off best levels. Silver was down 4.8%. Bitcoin futures were up 5.8%. WTI crude settled up 6.3% and closed at its highest level since last June (though came off even higher overnight levels).SPI down 20 - Gold up slightly - Oil up on Strait closure news.—Marcus Today – Daily Market InsightsMarcus Today provides clear, practical commentary for self-directed investors – covering markets, portfolios, education, and decision-making without the noise.If you'd like to go further:Start a free 14-day trial of Marcus Today http://bit.ly/mt-trial-podcastJoin Marcus Today Use code MTPODCAST for 10% off http://bit.ly/mt-join-podcast-offerMT20 – Managed ETF Portfolio A professionally managed portfolio run by Marcus Padley and the team, using ASX-listed ETFs with active market timing. http://bit.ly/mt20-podcastPrinciples – How We Think About Investing A short video series on timing, behaviour, and decision-making. No stock tips. http://bit.ly/mt-principles-podcast—Disclaimer This podcast is general information only and does not consider your personal circumstances. It is not personal financial advice.

Sem alarde, Paramount+ mata plano mais barato no Brasil. Nos Jogos Olímpicos de Inverno, vídeo de drone quase caindo em atleta durante prova volta a viralizar. Virou febre no Carnaval 2026, carregador ambulante vende carga para celular por R$ 15. Apple confirma evento para lançar iPhone 17e; saiba o que esperar. PF investiga vazamento de dados de ministros do STF na Receita Federal. Discos rígidos também ficarão mais caros. Rival do PS6 novo Xbox será como um PC? Explicamos. Galaxy S26: novo vídeo promocional mostra função de privacidade na tela. Anthropic passa a valer US$ 380 bilhões após recente rodada de investimentos.

January 2026 Sustainable Stock and ETF Picks… Covers the world's most sustainable companies, cleantech and renewable energy stocks, and more. By Ron Robins, MBA Transcript & Links, Episode 163, January 23, 2026 Hello, Ron Robins here. Welcome to my podcast episode 163, published on January 23, 2025, titled "January 2026 Sustainable Stock and ETF Picks." This podcast is presented by Investing for the Soul. Investingforthesoul.com is your go-to site for vital global, ethical, and sustainable investing mentoring, news, commentary, information, and resources. Remember that you can find a full transcript and links to content, including stock symbols and bonus material, on this episode's podcast page at investingforthesoul.com/podcasts. Also, a reminder. I do not evaluate any of the stocks or funds mentioned in these podcasts, and I don't receive any compensation from anyone covered in these podcasts. Furthermore, I will reveal any investments I have in the investments mentioned herein. I have a huge crop of 24 articles for you in this podcast! Note: Some companies are covered more than once. Now with so many articles to potentially cover, I've chosen 6 to quote from. The other 18 can be found with their titles and links on the webpage for this podcast edition. ------------------------------------------------------------- The 2026 Global 100 list puts speed in the spotlight The first article I'm quoting from is hot off the press and is about one of my favourite company rankings! It's titled The 2026 Global 100 list puts speed in the spotlight on corporateknights.com. The introduction is by Tristan Bronca. Here's some of what he says. "As the global economic transition accelerates, more companies are recognizing that sustainability isn't just good marketing – it's good for business, too… This was the animating spirit of the new methodology behind the Corporate Knights Global 100 ranking. The revised methodology introduces 'sustainable revenue momentum' to measure how fast companies are growing their sustainable revenues. A change of method Last year, sustainable revenues and investments together accounted for 50% of the score, and the other 50% was scored across 22 common environmental, governance and social performance indicators (KPIs) such as water use, emissions, workplace fatalities, and diversity on the board and among executives. The change has reordered the deck in a big way… A dramatic departure? 'In terms of performance, the G100 companies are back in top form, beating the benchmark MSCI AWCI index over the past year,' Toby Heaps says, referring to a stock market index of 85% of global investable equities across almost 50 countries." End quotes. Incidentally, the top five companies are ERG SpA (ERG.MI), Pandora A/S (PNDORA.CO), EDP Renováveis SA (EDP.LS), Fluence Energy, Inc. (FLNC), and Taiwan High Speed Rail Corp. (2633.TW). ------------------------------------------------------------ Top 4 Clean Tech Companies to Watch in 2026 This next article brings us back to highly familiar territory. It's titled Top 4 Clean Tech Companies to Watch in 2026 on carboncredits.com and is by Jennifer L. Here are some brief quotes. "1. NextEra Energy (NEE) is the largest clean energy company in the world. It owns and operates wind farms, solar fields, and battery storage systems across the United States… NextEra has also increased its dividend for more than 26 years in a row. 2. First Solar (FSLR) is one of the top makers of solar panels worldwide. It uses a technology called thin‑film photovoltaic modules. These panels are lighter, use fewer raw materials, and often perform better in hot climates compared to traditional silicon panels. The company builds large solar power plants that send power to utilities and corporate customers… Financially, First Solar is a strong player. Its market cap was around $24 billion in 2025, and it has shown double‑digit revenue growth. 3. Bloom Energy (BE) makes a special type of power generator called a solid‑oxide fuel cell. These units produce electricity efficiently and with low emissions. Customers include data centers, large buildings, and industrial sites that need reliable power without high carbon output. Bloom's fuel cells can run on hydrogen or biogas, which makes them flexible for future clean energy systems… Premium financial news reported that its stock jumped more than 410 % in 2025 after strong earnings results. 4. Plug Power (PLUG) focuses on hydrogen fuel cell systems. Its products are designed to replace traditional batteries and fossil fuels in heavy equipment, forklifts, and industrial vehicles. The company is also building hydrogen production and fueling infrastructure across North America and Europe. This supports a broader 'green hydrogen' economy… Plug Power has faced financial challenges, including consistent net losses and stock price volatility… Its long‑term growth story depends on hydrogen demand and policy support worldwide." End quotes. ------------------------------------------------------------- 3 ESG Stocks to Add to Your Portfolio for Sustainable Returns in 2026 - December 30, 2025 The third article I've chosen to quote from is titled 3 ESG Stocks to Add to Your Portfolio for Sustainable Returns in 2026 - December 30, 2025 on zacks.com. It's By Aniruddha Ganguly. Now, some quotes from the article. "1. NVIDIA (NVDA) achieved 100% renewable electricity for all its global offices and controlled data centers in fiscal 2025. This Zacks Rank #1 (Strong Buy) company targets to reduce direct emissions by 50% for operations (Scope 1) and electricity consumption (Scope 2) by 2030… The Zacks Consensus Estimate for fiscal 2026 increased a couple of cents to $4.66 per share, indicating 55.9% growth from the figure reported in fiscal 2025. (NVDA - Free Report). 2. IDEXX Laboratories (IDXX) is a developer, manufacturer and distributor of products and services primarily for the companion animal veterinary, livestock and poultry, water testing and dairy markets. IDEXX has set goals to reduce Scope 1 and 2 greenhouse gas emissions and aims to source 100% renewable electricity by 2030… This Zacks Rank #2 (Buy) company plans to improve diversity and representation of underrepresented groups… IDEXX shares have surged 66% in the trailing 12-month period. The Zacks Consensus Estimate for 2026 earnings has been steady at $14.42 per share, indicating 11.7% growth from the 2025 consensus estimate figure of $12.93 per share. (IDXX - Free Report). 3. Microsoft (MSFT) targets to become carbon negative, water positive, and generate zero waste by 2030… This Zacks Rank #3 (Hold) company is leveraging AI for Good Lab and tools like the Microsoft Planetary Computer to drive biodiversity conservation… Microsoft shares have returned 14.7% in a year. The Zacks Consensus Estimate for fiscal 2026 increased a couple of cents to $15.61 per share, indicating 14.4% growth from the figure reported in fiscal 2025. (MSFT - Free Report)." End quotes ------------------------------------------------------------- Top Renewable Energy Stocks To Watch Today This next article picks a few lesser-known, and for some sustainable investors, a few controversial companies for review. It's titled Top Renewable Energy Stocks To Watch Today on marketbeat.com and is by MarketBeat. Here are several brief quotes from the article. "1. Quanta Services (PWR) provides infrastructure solutions for the electric and gas utility, renewable energy, communications, and pipeline and energy industries in the United States, Canada, Australia, and internationally. Read Our Latest Research Report on PWR. 2. WEC Energy Group (WEC) through its subsidiaries, provides regulated natural gas and electricity, and renewable and nonregulated renewable energy services in the United States. It operates through Wisconsin, Illinois, Other States, Electric Transmission, and Non-Utility Energy Infrastructure segments. Read Our Latest Research Report on WEC. 3. NOV (NOV) designs, constructs, manufactures, and sells systems, components, and products for oil and gas drilling and production, and industrial and renewable energy sectors in the United States and internationally. Read Our Latest Research Report on NOV. 4. Clearway Energy (CWEN) operates in the renewable energy business in the United States. The company operates through Conventional and Renewables segments. Read Our Latest Research Report on CWEN. 5. HA Sustainable Infrastructure Capital (HASI) through its subsidiaries, engages in the investment of energy efficiency, renewable energy, and sustainable infrastructure markets in the United States. Read Our Latest Research Report on HASI. 6. Ameresco (AMRC) a clean technology integrator, provides a portfolio of energy efficiency and renewable energy supply solutions in the United States, Canada, Europe, and internationally. Read Our Latest Research Report on AMRC. 7. Gibraltar Industries (ROCK) manufactures and provides products and services for the renewable energy, residential, agtech, and infrastructure markets in the United States and internationally. Read Our Latest Research Report on ROCK." End quotes. ------------------------------------------------------------- Top Wind Energy Stocks Poised to Benefit From Clean Energy Transition My fifth article is titled Top Wind Energy Stocks Poised to Benefit From Clean Energy Transition on finance.yahoo.com. It's by Avisekh Bhattacharjee and originally published on zacks.com. In the US, the wind industry could be gaining ground despite President Trump's protestations. Here are some quotes from the article. "1. NextEra Energy (NEE) is a public utility holding company engaged in the generation, transmission, distribution and sale of electric energy. The Zacks Rank #2 (Buy) company's competitive energy business, NextEra Energy Resources LLC (NEER), is the leading generator of wind energy globally. NextEra Energy, Inc. (NEE): Free Stock Analysis Report. 2. PG&E (PCG) operates as the parent holding company of California's largest regulated electric and gas utility, Pacific Gas and Electric Company.  The Zacks Rank #2 company's exposure in wind energy stems from the procurement of power from several renewable resources. Pacific Gas & Electric Co. (PCG): Free Stock Analysis Report. 3. Arcosa (ACA) is a leading manufacturer of infrastructure-related products and services that serve the energy, construction and transportation markets. This Zacks Rank #2 company's Engineered Structures business continues to benefit from strong demand for its wind towers and engineered structures. Arcosa, Inc. (ACA): Free Stock Analysis Report. 4. Constellation Energy (CEG) is a well-recognised provider of electric power, natural gas and energy management services to 2 million customers across the continental United States. Constellation Energy operates 27 wind projects across 10 states… This Zacks Rank #3 (Hold) company is launching a $350 million initiative to increase the output and lifespan of its portfolio of renewable energy sources. Constellation Energy Corporation (CEG): Free Stock Analysis Report." End quotes. ------------------------------------------------------------- AI infrastructure stocks Lumentum, Celestica, Seagate beat Nvidia 2025 My final review article covers some old favourites. Its title is AI infrastructure stocks Lumentum, Celestica, Seagate beat Nvidia 2025 on cnbc.com. It's by Kif Leswing. Here are some brief quotes. 1. Nvidia has been the biggest infrastructure winner in the artificial intelligence boom, soaring in value by almost thirteenfold since the end of 2022 to a market cap of $4.6 trillion. 2. Lumentum based in San Jose, California, makes switches, transceivers and other optical laser-based parts that are needed for fiber-optic cables. Customers have typically been telecommunications carriers and device makers like Apple, which previously used Lumentum parts in its FaceID sensor… Lumentum's stock price has jumped 372% this year… lifting the company's market cap past $28 billion. Sales surged 58% in the most recent quarter from a year earlier to $533 million.  3. Western Digital is one of three major hard drive manufacturers, along with Seagate and Toshiba. Shares of the 55-year-old company are up almost 300% this year… 'Data is the fuel that powers AI, and it is HDDs that provide the most reliable, scalable and cost-effective data storage solution,' CEO Irving Tan said in October on an earnings call… Revenue is expected to increase about 23% in fiscal 2026, with growth slowing to 13% in 2027. 4. Micron is one of three major memory producers, alongside Samsung and SK Hynix, but the only one based in the U.S… Analysts from Morgan Stanley said in a December note that Micron's results showed the best revenue and profit upside in the 'history of the U.S. semis industry' — aside from Nvidia. Revenue is expected to almost double in the year ending in August, before dramatically slowing to 24% in fiscal 2027 and less than 1% in 2028, according to LSEG. 5. Seagate is also benefiting from booming demand for storage. The stock is up 231% this year. Sales rose 21% to $2.63 billion in the company's fiscal third quarter, which ended Oct. 3. The company said at the time that 80% of its sales go to the data center market. 'There is no question that AI is reshaping hard drive demand by elevating the economic value of data and data storage,' CEO Dave Mosley said on a call with analysts… Analysts expect 21% revenue growth this fiscal year, followed by increases of about 15% and 6% in the next two years, according to LSEG. 6. Celestica founded in 1994 as an IBM subsidiary, makes switches that connect networks together and manage the data and traffic flowing through them. The stock is up more than 230% this year… Analysts at Goldman Sachs wrote in a note Friday that Celestica supplies parts for Google's ASIC. 'The company should benefit in 2026 from being the leading provider of Google TPU rack level solutions,' the analysts wrote." End quotes. ------------------------------------------------------------- More articles from around the world with Sustainable Investment Picks for January 2026. 1. Title: These Infrastructure Stocks Could Quietly Power the AI Revolution on fool.com. By Matt DiLallo. 2. Title: Top Beaten-Down Data Center Infrastructure Stocks on seekingalpha.com. By Steven Cress. 3. Title: Meet the four most sustainable funds on the market for 2025 corporateknights.com. By CK Staff. 4. Title: 3 Green Energy Stocks to Watch for a Cleaner, More Sustainable 2026 on finance.yahoo.com. By Pulkit Chamria. 5. Title: Analysts See Triple-Digit Revenue Growth in 2026 for These 3 AI Infrastructure Stocks on wallst.com. By Rich Duprey. 6. Title: The Top Clean-Energy Stocks for 2026, According to an Investment Advisor on businessinsider.com. By Samuel O'Brient. 7. Title: Top 10 Companies for CSR and Sustainability in 2025 on thecsrjournal.in. By Hency Thacker. 8. Title: This Underrated Industrial Stock Could Be the Purest Play on AI Infrastructure on fool.com. By John Bromels. 9. Title: Sustainable Investing Trends to Watch in 2026 on sustainalytics.com. By Morningstar Sustainalytics. 10. Title: The most sustainable equity funds in 2026 on corporateknights.com. Introduction by Saint Ekpali. 11. Title: Top 10: Renewable Energy Companies on energydigital.com. By Charlie King. 12. Title: The Grid Gap Gamble: Why Bloom Energy is Defying the Clean Tech Downturn in 2026 on markets.financialcontent.com. By MarketMinute. 13. Title: Some of the Best Sustainable Companies Call This ETF Home on etftrends.com. By Todd Shriber. 14. Title: Cisco Systems a Top Socially Responsible Dividend Stock With 2.2% Yield (CSCO) on nasdaa.com. By BNK Invest. 15. Title: Top 10: Sustainable Investments 2026 on sustainabilitymag.com. By Charlie King. 16. Title: Why Bloom Energy (BE) Stock Is Trading Up Today on finance.yahoo.com. By Petr Huřťák. 17. Title: Barclays Calls This 1 AI Server Stock 'Best in Class' Amid Upgrade to 'Overweight' Rating on finance.yahoo.com. By Aditya Raghunath. 18. Title: A clean technology company on the verge of transformational growth on stockhouse.com. By Trevor Abes. ------------------------------------------------------------- Ending Comment These are my top news stories with their stock and fund tips for this podcast, "January 2026 Sustainable Stock and ETF Picks." Please click the like and subscribe buttons wherever you download or listen to this podcast. That helps bring these podcasts to others like you. And please click the share buttons to share this podcast with your friends and family. Let's promote ethical and sustainable investing as a force for hope and prosperity in these tumultuous times! Contact me if you have any questions. Thank you for listening. My next podcast will be on February 27th. See you then. Bye for now.   © 2026 Ron Robins, Investing for the Soul

„AI“ als Stichwort ruft bei der breiten Gamerschaft üblicherweise keine positiven Reaktionen hervor. Ausgenommen selbstverständlich die modernen Upscaler von Nvidia und AMD. MSI aber hielt es für eine gute Idee den „wahren AI-Gaming-Monitor“ auf der CES vorzustellen: Gegner werden aufgehellt, der Monitor zoomt automatisch auf sie, Spieler:innen erholen sich schneller von Blendgranaten usw. Im Single-Player alles kein Problem und kann da auch für höhere Zugänglichkeit sorgen. Aber im Multi-Player ein eingebauter Cheat-Mode. OpenAI wird in den nächsten Wochen eine Testphase für Werbung in der freien Version von ChatGPT und in ChatGPT Go (8 Doller im Monat) starten. Die Werbung soll personalisiert sein, Daten aus den Gesprächsverläufen aber natürlich nicht an die Werbekunden weitergegeben werden. Außerdem sollen Nutzer:innen die für die Werbung genutzten Daten manuell löschen. Wie viel Vertrauen OpenAI verdient, dürfen alle selbst für sich entscheiden. Derzeit darf man Blitzerwarn-Apps zwar installiert haben, aber nicht aktiv nutzen. Die Polizei kann die Nutzung auch nur dann ahnden, wenn die App noch aktiv ist, wer sie schnell genug deaktiviert, ist fein raus. Und selbst wenn man erwischt wird, sind es gerade mal 75 Euro und ein Punkt. Das möchten die Bundesländer ändern und fordern ein Totalverbot nach Vorbild von Frankreich, wo die Apps auch nicht installiert sein dürfen. Bei Verstoß sind dann gerne 1500 Euro fällig. Aber Deutschland ist bei Bußgeldern im Verkehr eh recht milde. Viel Spaß mit Folge 291! Sprecher:innen: Meep, Michael Kister, Mohammed Ali DadAudioproduktion: Michael KisterVideoproduktion: Mohammed Ali Dad, Michael KisterTitelbild: MeepBildquellen: MSI/id Software/Zenimax MediaAufnahmedatum: 17.01.2026 Besucht unsim Discord https://discord.gg/SneNarVCBMauf Bluesky https://bsky.app/profile/technikquatsch.deauf Youtube https://www.youtube.com/@technikquatsch https://www.youtube.com/@technikquatschgamingauf TikTok https://www.tiktok.com/@technikquatschauf Instagram https://www.instagram.com/technikquatschauf Twitch https://www.twitch.tv/technikquatsch RSS-Feed https://technikquatsch.de/feed/podcast/Spotify https://open.spotify.com/show/62ZVb7ZvmdtXqqNmnZLF5uApple Podcasts https://podcasts.apple.com/de/podcast/technikquatsch/id1510030975Deezer https://www.deezer.com/de/show/1162032 00:00:00 Herzlich willkommen zu Technikquatsch Folge 291! 00:02:10 Hausmeisterei: Kommentare, Let’s Play Onimusha: Warlords Folge 2 auf Technikquatsch Gaminghttps://www.youtube.com/watch?v=fqU2ccxJMLU 00:06:05 Übersicht über die Preissteigerungen bei Arbeitsspeicher, SSDs und HDDs von Computerbasehttps://www.computerbase.de/news/storage/speicherpreise-im-check-ram-inzwischen-viermal-so-teuer-scalper-schlagen-zu.95764/ 00:09:04 PC-Brand durch Druckluftspray bei Jochen G. bzw. J. Gebauer, Fehlersuche bei A. Peschke bzw. André P., Computerläden und ElectroBoomhttps://www.youtube.com/@ElectroBOOM 00:27:45 heizende Rechner, Fußbodenheizung und Balkonkraftwerke 00:34:35 Autoräder, -lampen und Mardergeschichten 00:41:55 Länder fordern Totalverbot von Blitzerwarn-Apps.https://www.golem.de/news/verkehr-bundeslaender-wollen-totalverbot-von-blitzer-apps-2601-204073.html 00:53:34 OpenAI fährt Testphase zu Werbung in kostenlosem ChatGPT und ChatGPT Go (8 Dollar/Monat).https://www.computerbase.de/news/apps/offizielle-ankuendigung-openai-testet-werbung-in-der-freien-chatgpt-version.95820/ 01:00:47 AI-unterstützter „Cheater“-Monitor von MSI („recommended for use in single-player gameplay or in practice“)https://www.computerbase.de/news/monitore/msi-meg-x-bei-diesem-display-hilft-ai-bitte-nur-sp-beim-cheaten.95718/ 01:06:46 Das wars für heute, vielen Dank und bis zum nächsten Mal!

Heute haben wir eine gute und eine schlechte Nachricht. Die gute: Es geht vorwärts bei der Batterietechnologie für Elektro-Autos! Nissan hat angekündigt, bis 2028 mit einer neuentwickelten Festkörperbatterie in die Massenproduktion zu gehen. Im Vergleich zu klassischen Lithium-Ionen-Batterien machen die alles besser, höhere Energiedichte, bessere Temperaturstabilität, höhere Ladeleistung und voraussichtlich sogar günstiger zu produzieren. Und Nissan ist nicht der einzige Produzent. Jetzt zur schlechten Nachricht. Die Speicherpreise sind massiv gestiegen und werden es wohl auch noch weiter steigen: RAM, VRAM, SSDs und sogar HDDs. Und was ist schuld? Der "KI"-Hype. Ohne Verstand werden links und rechts neue Rechenzentren aus dem Boden gestampft, die nicht mehr nach Rechenleistung bemessen werden, sondern nach Energiebedarf. Künstlich geschaffene Nachfrage nach Lösungen auf der Suche nach Problemen. Microsoft und Google stopfen generative AI den Nutzern in den Rachen und verschlechtern ihre Produkte. OpenAI ruft nach staatlicher Unterstützung. Nvidias Jensen Huang sieht China als langfristiger Gewinner des AI-Wettrennens, deshalb sollen alle noch mehr AI-Accelerators von Nvidia kaufen. Diese Blase kann nicht schnell genug platzen. Bei der ganzen schlechten Laune hilft vielleicht doch mal ein Cozy Survival Game, so richtig reduziert. Zum Runterkommen. Winter Burrow dürfte sich da ganz gut eignen. Mit einer kleinen Maus in der winterlichen Wildnis langsam den heruntergekommenen Bau der Eltern wieder herrichten. Das klingt entspannend. Viel Spaß mit Folge 281! Sprecher:innen: Meep, Michael Kister, Mohammed Ali DadAudioproduktion: Michael KisterVideoproduktion: Michael KisterTitelbild: MeepBildquellen: Pixabay/Origin Systems/Electronic ArtsAufnahmedatum: 07.11.2025 Besucht unsim Discord https://discord.gg/SneNarVCBMauf Bluesky https://bsky.app/profile/technikquatsch.deauf TikTok https://www.tiktok.com/@technikquatschauf Youtube https://www.youtube.com/@technikquatschauf Instagram https://www.instagram.com/technikquatschauf Twitch https://www.twitch.tv/technikquatsch RSS-Feed https://technikquatsch.de/feed/podcast/Spotify https://open.spotify.com/show/62ZVb7ZvmdtXqqNmnZLF5uApple Podcasts https://podcasts.apple.com/de/podcast/technikquatsch/id1510030975 00:00:00 Mo grüßt aus der Küche. 00:12:21 Nissan möchte Fahrzeuge mit neuer Feststoffbatterie bis 2028 in Serienfertigung produzieren.https://www.elektroauto-news.net/news/festkoerperbatterien-nissan-2028 00:23:06 Renault Twingo E-Tech Electric im Retro-Design für die Stadthttps://www.auto-motor-und-sport.de/neuheiten/renault-twingo-e-tech-electric-das-serienmodell-geht-zu-weit/ 00:32:20 Anhaltender "KI"-Boom sorgt für massive Preissteigerung bei RAM, VRAM, SSDs und HDDs.https://www.heise.de/news/Arbeitsspeicher-RAM-Preise-schiessen-hoch-11066715.htmlhttps://www.computerbase.de/news/storage/hiobsbotschaften-aus-asien-2-jahre-lieferzeit-fuer-hdds-qlc-ausgebucht-nand-preis-um-50-prozent-rauf.94971/ 00:54:39 GTA 6 von Mai 2026 auf 16. November 2026 verschoben; Mafia - The Old Country interne Erwartungen übertroffen.https://www.computerbase.de/news/gaming/rockstar-games-gta-6-auf-november-2026-verschoben.94960/ 01:01:39 Winter Burrow angespielt: Cozy Survival mit niedlicher Maus https://store.steampowered.com/app/3008740/Winter_Burrow/Disclaimer: Wir haben vom Entwickler/der PR einen Key erhalten; die einzige Vorgabe war die frühestmögliche Veröffentlichung. 01:11:38 The Witcher Staffel 4 Folge 1 mit Liam Hemsworth statt Henry Cavill https://www.netflix.com/de/title/80189685 01:22:17 Jetzt sind wir am Ende!

The guys talk about Skate Story is finally releasing in December, Indiana Jones and the Great Circle is getting a New Game+ mode and some new duds in a free update, Might and Magic: Olden Era is delayed to 2026, a Minecraft Movie sequel is coming in July 23, 2027, and Cities: Skylines 2's big Bridges and Ports expansion is finally almost here. News includes: Helldivers 2 developers blame HDDs for the PC version's file size & delayed updates Let us know what you think.

This is a recap of the top 10 posts on Hacker News on October 08, 2025. This podcast was generated by wondercraft.ai (00:30): Synology reverses policy banning third-party HDDsOriginal post: https://news.ycombinator.com/item?id=45513485&utm_source=wondercraft_ai(01:53): We found a bug in Go's ARM64 compilerOriginal post: https://news.ycombinator.com/item?id=45516000&utm_source=wondercraft_ai(03:17): One-man campaign ravages EU 'Chat Control' billOriginal post: https://news.ycombinator.com/item?id=45514433&utm_source=wondercraft_ai(04:41): A competitor crippled a $23.5M bootcamp by becoming a Reddit moderatorOriginal post: https://news.ycombinator.com/item?id=45521920&utm_source=wondercraft_ai(06:04): The email they shouldn't have readOriginal post: https://news.ycombinator.com/item?id=45515657&utm_source=wondercraft_ai(07:28): Nobel Prize in Chemistry 2025Original post: https://news.ycombinator.com/item?id=45514164&utm_source=wondercraft_ai(08:52): After 2 decades of tinkering, MAME cracks the Hyper Neo Geo 64Original post: https://news.ycombinator.com/item?id=45516968&utm_source=wondercraft_ai(10:15): Discord says 70k users may have had their government IDs leaked in breachOriginal post: https://news.ycombinator.com/item?id=45521738&utm_source=wondercraft_ai(11:39): Doctorow: American tech cartels use apps to break the lawOriginal post: https://news.ycombinator.com/item?id=45518136&utm_source=wondercraft_ai(13:03): Suspicionless ChatControl must be taboo in a state governed by the rule of lawOriginal post: https://news.ycombinator.com/item?id=45517642&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

In today's episode of 'Cybersecurity Today,' hosted by Jim Love, we cover several key issues in the cybersecurity landscape. Firstly, a breach involving Workday and social engineering attacks targeting Salesforce customers is discussed. Next, the risks posed by a recent Windows update potentially causing data corruption on SSDs and HDDs are highlighted. We also delve into a critical infrastructure breach where Russian hackers remotely accessed a Norwegian dam's control system. Additionally, the episode covers Google's vulnerabilities in its AI and Gmail services, and finally, Apple's significant privacy victory against the UK's backdoor encryption mandate. The episode concludes with a call for listener support through donations to sustain the program. 00:00 Introduction and Headlines 00:23 Workday Data Breach Explained 02:15 Windows Update Issues 04:05 Norwegian Dam Cyber Attack 05:49 Google's Security Challenges 07:12 Apple's Privacy Victory 08:19 Conclusion and Listener Support

In this episode of Hashtag Trending with Jim Love, we discuss China's directive for data centers to use 50% domestic AI chips, Adobe, Grammarly, and Otter AI's push to incorporate AI features, and the backlash and legal risks they face. We also highlight how a Windows 11 patch is causing issues with SSDs and HDDs, and an MIT report reveals that 95% of enterprise AI pilots fail to deliver measurable results. Tune in for these stories and more. 00:00 Introduction and Headlines 00:26 China's Push for Domestic AI Chips 02:30 AI Features in Popular Software 04:26 Windows 11 Update Issues 06:52 Enterprise AI Pilots Struggling 09:04 Conclusion and Call to Action

Guest: Dr. Tom Coughlin, President, Coughlin Associates, IEEE Past President (2025) Website: https://tomcoughlin.com FMS Conference: https://futurememorystorage.com/ Episode Summary: Join us for an enlightening conversation with Dr. Tom Coughlin, a seasoned digital storage analyst and consultant with over 40 years in the industry. Tom, the President of Coughlin Associates and former IEEE President, shares unparalleled insights into the foundational technologies shaping our digital world. We delve into the crucial role of memory in AI's development, the surprising realities of storage demand, and the fascinating world of breakthrough memory technologies. Discover why memory often gets overlooked in AI discussions, critical considerations for data privacy, and the global impact of the IEEE. Tom also previews the upcoming Future of Memory and Storage (FMS) conference and offers invaluable career advice for tech entrepreneurs. Key Discussion Points: Behind-the-Scenes of Storage Innovation: Tom shares a surprising story about the 25-year research journey behind HAMR technology now rolling out in HDDs. Evolving Storage Demands: Learn how SSDs have become primary data center storage and replaced HDDs in personal computers and consumer applications. Understand HDDs' shift to colder storage in data centers—this is their growth market, and much of the world's data lives on HDDs. Discover magnetic tape's vital role in archiving and backing up cloud data. Explore new archive storage technologies being developed, such as optical recording and DNA storage. Memory's Critical Role in AI: Memory, particularly DRAM, is playing a big role in training AI models. Approaches are emerging that reduce the need for expensive DRAM (especially in HBM) for inference applications, using storage technologies like SSDs (e.g., Kioxia's AiSAQ for tuning LLMs). er optical storage or DNA for long-term data storage and preservation. Why Memory is Overlooked in AI: Insights into why people tend to focus more on processing (GPUs) than on the data itself, despite memory and storage advances being as impressive as those in GPUs. Data Privacy & Security in Storage: Essential considerations include having copies of data on immutable storage for ransomware recovery, using AI for anomaly detection on networked systems to prevent malware, and proper encryption use in storage systems for data security. The Global Impact of IEEE: Learn about IEEE as the world's largest technical professional organization with nearly half a million members in over 190 countries. IEEE puts on over 2,000 conferences and events each year and publishes a good percentage of the world's technical literature. IEEE standards enable interoperability and industries, with a recent focus on sustainability and ethical AI practices to solve global problems and benefit humanity. Future of Memory and Storage (FMS) Conference: Dr. Coughlin, the general chair, provides details on the 2025 FMS (August 4-7, 2025, at the Santa Clara Convention Center). The conference will feature keynotes by major players in the digital storage and memory industry and sessions covering all major technologies and applications. FMS is the largest independent event focused on digital storage and memory. Highlight Speakers at FMS: Keynote talks include representatives from Kioxia, Fadu, Micron, Silicon Motion, SK hynix, Samsung, Neo, Sandisk, Max Linear, VergeIO, and Kove. There will also be a special session on AI, memory, and storage organized by NVIDIA, and Dr. Coughlin will give a talk on his experiences as IEEE President in 2024. Many parallel sessions will feature speakers from important industry players. Major Disruption in Digital Storage: Dr. Coughlin predicts that just managing the massive amounts of data generated by AI and IoT will be a huge challenge. He also foresees a growing need for technology to ensure data provenance, to identify false information and curate data for AI training. Career Advice for Tech Professionals: Dr. Coughlin advises aspiring tech professionals to be part of their industry and join technical professional organizations like the IEEE. This provides opportunities to develop professional networks and learn important skills like working with others and communicating through volunteer leadership. Learn More About Dr. Tom Coughlin and FMS: Future of Memory and Storage (FMS) Conference: https://futurememorystorage.com/ Tom Coughlin's Work: https://tomcoughlin.com Disclaimer: The information provided in these show notes is for informational purposes only and does not constitute financial, investment, or technical advice. Views expressed by the guest are their own and do not necessarily reflect the views of the podcast host or its affiliates..do not necessarily reflect the views of Finalis Inc. or Finalis Securities LLC, Member FINRA/SIPC.. Listeners should conduct their own research and consult with qualified professionals before making any decisions.  

Endlich sind mal keine 8-GB-Grafikkarten im Test, die es zu besprechen gilt - aber die erste feiert dafür den 10. Geburtstag. Kurze Randnotiz zum Einstieg und weiter geht's! Denn eigentlich geht es heute um Gerüchte zu 52-Kern-CPUs von Intel auf Nova-Lake-S-Basis ("Core Ultra 400"), Synologys "Vendor-Lock" bei HDDs und SSDs in der +Serie, einen endlich effizienten High-End-PCIe-5.0-Controller von Phison, Gaming-Benchmarks und die Zukunft der (oder das aus für die?) Xbox mit Chips von AMD. Volles Programm! Viel Spaß beim Zuhören - und die Hausaufgabe nicht vergessen! :o)

This week, we discuss Google being found to be a monopoly, OpenAI's “offer” to buy Chrome, and some hot takes on JSON. Plus, is it better to wait on hold or ask for a callback? Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=EhUxUPJv5g4) 516 (https://www.youtube.com/watch?v=EhUxUPJv5g4) Runner-up Titles Just Fine The SDT “Fine” Scale Callback Asynchronous Friendship I would love to get to know you better…over text Send you Jams to the dry cleaners. JSON Take it xslt-easy! Rundown OpenAI OpenAI in talks to pay about $3 billion to acquire AI coding startup Windsurf (https://www.cnbc.com/2025/04/16/openai-in-talks-to-pay-about-3-billion-to-acquire-startup-windsurf.html) The Cursor Mirage (https://artificialintelligencemadesimple.substack.com/p/the-cursor-mirage) AI is for Tinkerers (https://redmonk.com/kholterhoff/2023/06/27/ai-is-for-tinkerers/) Vibe Coding is for PMs (https://redmonk.com/rstephens/2025/04/18/vibe-coding-is-for-pms/) OpenAI releases new simulated reasoning models with full tool access (https://arstechnica.com/ai/2025/04/openai-releases-new-simulated-reasoning-models-with-full-tool-access/) Clouded Judgement 4.18.25 - The Hidden Value in the AI Application Layer (https://cloudedjudgement.substack.com/p/clouded-judgement-41825-the-hidden?utm_source=post-email-title&publication_id=56878&post_id=161562220&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) OpenAI tells judge it would buy Chrome from Google (https://www.theverge.com/news/653882/openai-chrome-google-us-judge) The Creators of Model Context Protocol (https://www.latent.space/p/mcp?utm_source=substack&utm_medium=email) Judge finds Google holds illegal online ad tech monopolies (https://www.cnbc.com/2025/04/17/judge-finds-google-holds-illegal-online-ad-tech-monopolies.html) Intuit, Owner of TurboTax, Wins Battle Against America's Taxpayers (https://prospect.org/power/2025-04-17-intuit-turbotax-wins-battle-against-taxpayers-irs-direct-file/) Relevant to your Interests Switch 2 Carts Still Taste Bad, Designed Purposefully To Be Spat Out (https://www.gamespot.com/articles/switch-2-carts-still-taste-bad-designed-purposefully-to-be-spat-out/1100-6530649/) CEO Andy Jassy's 2024 Letter to Shareholders (https://www.aboutamazon.com/news/company-news/amazon-ceo-andy-jassy-2024-letter-to-shareholders) Amazon CEO Andy Jassy says AI costs will come down (https://www.cnbc.com/2025/04/10/amazon-ceo-andy-jassys-2025-shareholder-letter.html) Happy 18th Birthday CUDA! (https://www.aboutamazon.com/news/company-news/amazon-ceo-andy-jassy-2024-letter-to-shareholders) Honeycomb Acquires Grit: A Strategic Investment in Pragmatic AI and Customer Value (https://www.honeycomb.io/blog/honeycomb-acquires-grit) Everything Announced at Google Cloud Next in 12 Minutes (https://www.youtube.com/watch?v=2OpHbyN4vEM) GitLab vs GitHub : Key Differences in 2025 (https://spacelift.io/blog/gitlab-vs-github) Old Fashioned Function Keys (https://economistwritingeveryday.com/2025/04/11/old-fashioned-function-keys/) Fake job seekers are flooding U.S. companies that are hiring for remote positions, (https://www.cnbc.com/2025/04/08/fake-job-seekers-use-ai-to-interview-for-remote-jobs-tech-ceos-say.html) NetRise raises $10M to expand software supply chain security platform (https://siliconangle.com/2025/04/15/netrise-raises-10-million-expand-software-supply-chain-security-platform/) Mark Zuckerberg's antitrust testimony aired his wildest ideas from Meta's history (https://www.theverge.com/policy/649520/zuckerberg-meta-ftc-antitrust-testimony-facebook-history) How Much Should I Be Spending On Observability? (https://www.honeycomb.io/blog/how-much-should-i-spend-on-observability-pt1) Did we just make platform engineering much easier by shipping a cloud IDP? (https://seroter.com/2025/04/16/did-we-just-make-platform-engineering-much-easier-by-shipping-a-cloud-idp/) Google Cloud Next 2025: Agentic AI Stack, Multimodality, And Sovereignty (https://www.forrester.com/blogs/google-next-2025-agentic-ai-stack-multimodality-and-sovereignty/) iPhone Shipments Down 9% in China's Q1 Smartphone Boom (https://www.macrumors.com/2025/04/18/iphone-shipments-down-in-china-q1/) Exclusive: Anthropic warns fully AI employees are a year away (https://www.axios.com/2025/04/22/ai-anthropic-virtual-employees-security) Synology requires self-branded drives for some consumer NAS systems, drops full functionality and support for third-party HDDs (https://www.tomshardware.com/pc-components/nas/synology-requires-self-branded-drives-for-some-consumer-nas-systems-drops-full-functionality-and-support-for-third-party-hdds) Porting Tailscale to Plan 9 (https://tailscale.com/blog/plan9-port?ck_subscriber_id=512840665&utm_source=convertkit&utm_medium=email&utm_campaign=[Last%20Week%20in%20AWS]%20Issue%20#418:%20Another%20New%20Capacity%20Dingus%20-%2017270009) CVE Foundation (https://www.thecvefoundation.org/) The Cursor Mirage (https://artificialintelligencemadesimple.substack.com/p/the-cursor-mirage) There's a Lot of Bad Telemetry Out There (https://blog.olly.garden/theres-a-lot-of-bad-telemetry-out-there) Gee Wiz (https://redmonk.com/rstephens/2025/04/04/gee-wiz/?ck_subscriber_id=512840665&utm_source=convertkit&utm_medium=email&utm_campaign=[Last%20Week%20in%20AWS]%20Issue%20#418:%20Another%20New%20Capacity%20Dingus%20-%2017270009) Nonsense Silicon Valley crosswalk buttons hacked to imitate Musk, Zuckerberg's voices (https://techcrunch.com/2025/04/14/silicon-valley-crosswalk-buttons-hacked-to-imitate-musk-zuckerberg-voices/) A Visit to Costco in France (https://davidlebovitz.substack.com/p/a-visit-to-costco-in-france) No sweat: Humanoid robots run a Chinese half-marathon (https://apnews.com/article/china-robot-half-marathon-153c6823bd628625106ed26267874d21) Metre, a consistent measurement of the world (https://mappingignorance.org/2025/04/23/150-years-ago-the-metre-convention-determined-how-we-measure-the-world/) Conferences DevOps Days Atlanta (https://devopsdays.org/events/2025-atlanta/welcome/), April 29th-30th. KCD Texas Austin 2025 (https://community.cncf.io/events/details/cncf-kcd-texas-presents-kcd-texas-austin-2025/), May 15th, Whitney Lee Speaking. Cloud Foundry Day US (https://events.linuxfoundation.org/cloud-foundry-day-north-america/), May 14th, Palo Alto, CA, Coté speaking. Fr (https://vmwarereg.fig-street.com/051325-tanzu-workshop/)ee AI workshop (https://vmwarereg.fig-street.com/051325-tanzu-workshop/), May 13th. day before C (https://events.linuxfoundation.org/cloud-foundry-day-north-america/)loud (https://events.linuxfoundation.org/cloud-foundry-day-north-america/) (https://events.linuxfoundation.org/cloud-foundry-day-north-america/)Foundry (https://events.linuxfoundation.org/cloud-foundry-day-north-america/) Day (https://events.linuxfoundation.org/cloud-foundry-day-north-america/). NDC Oslo (https://ndcoslo.com/), May 21st-23th, Coté speaking. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Dope Thief (https://www.rottentomatoes.com/tv/dope_thief) on Apple TV (https://www.rottentomatoes.com/tv/dope_thief) Coté: Check out the recording of the Tanzu Annual update (https://www.youtube.com/watch?v=c1QZXzJcAfQ), all about Tanzu's private AI platform. Next, watch Coté's new MCP for D&D video (#4) figures out something cool to do with MCP Prompts (https://www.youtube.com/watch?v=xEtYBznneFg), they make sense now. And, a regret-a-mmendation: Fields Notes annual subscription (https://fieldnotesbrand.com/limited-editions). Photo Credits Header (https://unsplash.com/photos/a-telephone-sitting-on-top-of-a-wooden-shelf-2XnGRN_caHc)

Eight best-selling Mac products that don't exist–yet. Original text by David Pogue, Macworld April 1996. More on the history of DiskDoubler. John V. Holder's TakeABreak has recently been uncovered from the depths of archive.org. A hybrid of the imaginary Concatenator Pro and PocketBoot might be Startup Doubler, which gloms together all your extensions (internally, not on the filesystem) to accelerate startup. Apple sort of tried to make extensions management easier by including Ricardo Batista's Extensions Manager with System 7.5 and later. I've lost track of the number of Uninstaller-type software that's been produced for the Mac since this article was written, not that I would ever touch any of them. MacBreakZ is an awful lot like the imaginary Carpal Diem. From ~2010-2014, I always thought of NexTag as a real-world PriceDex. It's a shame it disappeared. CamelCamelCamel fills the void for those who haven't yet separated themselves from Amazon. Nobody ever went so far as to produce an INIT magazine but Symbionts will give you more technical insight into your System Folder. My all-time favourite feature: a file-by-file breakdown of how much memory is allocated by each INIT and cdev. Things I don't miss about the old days: holding my breath while capturing analog video, and waiting for machines with mechanical HDDs to boot. The PocketBoot would nearly useless today anyhow–not because of SSDs, but because Apple is actively striving to make it impossible to boot from external media. Thanks, Tim Cook! Super useful, good job. All because SECURITY. …except in the UK and everywhere else, shortly. Mmmkay, how about you let us boot from external devices again while you're at it? Better yet, throw out the current version of Mac OS, fork Snow Leopard, and start things over from there, kthxbai Scott Joplin “Maple Leaf Rag” clip courtesy of ConcertWare. PPG Wave 2.3 demo courtesy of RetroSound. More about CANYON.MID, composer George Stone, and how his work ended up shipping with most copies of Windows from 1991-1996. Composed on a Mac running Passport Designs' Master Tracks Pro. Live performance of CANYON.MID…? The canyon.mid Simulator and hard rock cover (pun not intended).

No programa de hoje vamos explorar as principais tendências que estão moldando o futuro do setor tecnológico em 2025. Da formação de profissionais às estratégias para promover empregabilidade e diversidade, o cenário está em plena transformação. Para falar sobre esse assunto eu recebo hoje aqui no Podcast Canaltech a Mariana Lopes, Gerente Executiva do MovTech 2030. E mais: Electronic Arts encerrará app da Origin em 2025; Xbox receberá suporte para HDDs externos com mais de 16 TB; Gemini Live ganha opção para enviar fotos e arquivos durante a conversa; IA vai exigir 2x mais armazenamento nos próximos 3 anos; NVIDIA garante que conector de energia das GeForce RTX 50 não derreterá. Receba notícias do Canaltech no WhatsApp Entre nas redes sociais do Canaltech buscando por @Canaltech nelas todas Entre em contato pelo nosso e-mail: podcast@canaltech.com.br Entre no Canaltech Ofertas Acesse a newsletter do Canaltech Este episódio foi roteirizado e apresentado por Gustavo Minari. O programa também contou com reportagens de Raphael Giannotti, Jones Oliveira e Diego Corumba. Edição por Yuri Souza. A trilha sonora é uma criação de Guilherme Zomer e a capa deste programa é feita por Erick Teixeira.See omnystudio.com/listener for privacy information.

Today we are talking all about STORAGE! Well - at least some of it - we are talking about HDDs. Hard Disk Drive storage. We also talk a little bit about the hierarchy of storage and volatile and non-volatile storage! Make sure to check our previous part of this episode about CPUs and GPUs if you missed that because we will be putting all this together at the end in an ultimate comparison of Mac v/s Windows =) Here's the hierarchy I mentioned in the podcast: Stage A - Cache Storage [THE FASTEST - TINIEST STORAGE] Stage B - Cache Storage [VERY VERY FAST - TINY STORAGE] Stage C - Cache Storage [ VERY FAST - SMALL STORAGE] Stage D - RAM [FAST - BIGGER STORAGE] Stage E - HDD/SSD [ STILL FAST, BUT NOT AS MUCH - TONS OF STORAGE] All of these are very fast to the point that you may not notice if a data packet is stored in Stage A, or D, but they are still faster than the previous one! (It's a matter of miliseconds and seconds) Sources: https://www.youtube.com/watch?v=wteUW2sL7bc&t=3s https://www.youtube.com/watch?v=wtdnatmVdIg&t=3s Also bleeds into the other Episodes sources.

Ficha técnica Hosts: Leticia Dáquer e Thiago Corrêa  Edição: Leticia Dáquer Capa: Leticia Dáquer Data da gravação: 20/10/2024 Data da publicação: 24/10/2024   Músicas/áudios: The Oldest Song in the World The Most Mysterious Song on the Internet - HQ Stereo Remastered   Coisas mencionadas no episódio: Episódio do Stuff You Should Know sobre mistérios da internet, incluindo a música desconhecida Música da bunda do Bosch A música mais misteriosa da internet (Wikipedia) But what is CRISPR-Cas9? An animated introduction to Gene Editing   Bom Leticia World-first therapy using donor cells sends autoimmune diseases into remission (Nature, 04/10/2024) Discovering Roman mosaics - A fabulous new find where history meets luxury in Antakya (World Archeology, 18/11/2020) Thiago Ouça a música mais antiga do mundo, de 3.400 anos (Olhar Digital, 29/07/2024) World's first ‘meltdown-proof' nuclear reactor aces safety test (New Atlas, 24/07/2024) Brazilian artist swaps historical coin in British Museum for a fake (The Guardian, 22/07/2024)   Mau Leticia Políticos de cidade alemã querem restringir venda de kebab (Carta Capital, 12/08/2024) Thiago  Music industry's 1990s hard drives, like all HDDs, are dying (12/09/2024)   Feio Leticia State-of-the-Art Fire Station Leveled by Blaze (Newsweek, 18/10/2024) Woman passes her driving test on her 960th go after spending £11,000 (The Mirror, 26/03/2023) Comandante de navio dos EUA é rebaixado após atirar com a mira ao contrário (UOL, 04/09/2024) Engenheira mantém 7,4 mil abas abertas no Firefox há mais de dois anos (Terra, 07/05/2024) Two San Francisco nudists save man from being attacked in street by a "crazy kind of pirate guy"with a blowtorch (MSN, 07/2024) Thiago Alemanha vai parar de usar disquetes em navios de guerra (Tecnoblog, 07/2024) MS-DOS and Windows 3.11 still run train dashboards at German railway — company listed admin job for 30-year-old operating system (Tom's Hardware, 29/01/2024) Math student builds fusion reactor at home with help from Claude AI and $2,000 (Techspot, 03/09/2024) Restaurant sues customer over $3,000 waitress tip he left on $13 meal (Unilad, 01/07/2024) Maldives minister arrested for performing ‘black magic' on President Muizzu: Report (Hindustan Times, 28/06/2024)   Parceria com Veste Esquerda: Agora tem camiseta do Pistolando direto no site da Veste Esquerda! Mas o código de desconto PISTOLA10 dá 10% de desconto na sua compra da nossa e de outras camisetas maneiríssimas esquerdopatas!   Parceria com Editora Boitempo: compre livros por esse link aqui pra gente ganhar uns trocados de comissão :)   Nosso link de associados da Amazon, mas só em último caso, hein: bit.ly/Pistolando    Parceria com o ICL: inscreva-se nos cursos pelo nosso link   Esse podcast é produzido pelo Estopim Podcasts. Precisa de ajuda pra fazer o seu podcast? Chega mais, que a gente te dá uma mãozinha.     Links do Pistolando www.pistolando.com contato@pistolando.com Twitter: @PistolandoPod Instagram: @PistolandoPod   Apóie o Pistolando no Catarse, no Patreon e agora também no PicPay, ou faça um Pix pra gente usando a chave contato@pistolando.com   Descrição da capa:  

In this episode, we starting a series about the computer and how it works! In this episode we are going to give a brief overview on all the parts in the computer before delving deep into each part in the coming episodes. I will be alternating between publishing an episode in this series with some other episodes as to not frizzle your brains. Please do consider sharing this podcast with others if you find it enjoyable! Sources - I will be referring to these sources in later episodes as well. My Sources https://www.youtube.com/watch?v=1kypaBjJ-pg https://www.youtube.com/watch?v=Axd50ew4pco https://www.youtube.com/watch?v=6LIv2ocJXRk https://www.youtube.com/watch?v=6LIv2ocJXRk https://www.youtube.com/watch?v=OdziYWEkDIM https://www.youtube.com/watch?v=ExxFxD4OSZ0 Sources from ChatGPT (I didn't use it's response, I asked it for sources. It gave me these) CPU (Central Processing Unit): Intel's Guide to CPUs:⁠https://www.intel.com/content/www/us/en/products/processors/what-is-a-processor.html⁠ How CPUs Work - HowStuffWorks:⁠https://computer.howstuffworks.com/microprocessor.htm⁠ GPU (Graphics Processing Unit): How GPUs Work - TechSpot:⁠https://www.techspot.com/article/1871-how-gpus-work/⁠ RAM (Random Access Memory): HowStuffWorks: RAM Explained:⁠https://computer.howstuffworks.com/ram.htm⁠ Storage (HDD and SSD): Seagate's Guide to HDDs and SSDs:⁠https://www.seagate.com/gb/en/internal-hard-drives/⁠ Motherboard: PCGuide: Motherboards:⁠https://www.pcguide.com/motherboard/guide/⁠ Power Supply Unit (PSU): How Power Supplies Work - TechSpot:⁠https://www.techspot.com/article/2024-how-power-supplies-work/⁠

We're on Patreon now! Find us at https://www.patreon.com/AudioUnleashed This week, Brent and Dennis discuss the death of music hard drives (and the inevitable doom of all music recordings?); riff on a  cut'n'paste review of a Coherence Systems… something or other, and worry whether a podcast they created about the Harman target curve using A.I. might actually be better than … well, not Audio Unleashed, of course, but much of what passes for audio journalism. Buy-now links for products mentioned herein (As Amazon Associates, we may earn a small cut from qualifying purchases):

Today, the hard disk drive industry and its big three companies - Seagate, Western Digital and Toshiba - are in decline. The Solid State Drive or SSD is on the rise. SSDs are faster, more reliable, and consume less power. Something that began 30 years ago with replacing audio tapes in telephone answering machines - remember those? - has grown to power a $60 billion market per the IEEE. HDD unit volume sales will never be as they were before. Consumers no longer buy HDDs for their iPods, laptops or even desktops. Sad. But the HDD's march towards oblivion has been arrested by a new market: Growing demand from enterprise companies storing data for "nearline" storage. Nearline, referring to data that the customer needs accessible but not so frequently nor immediately. This market is real. Companies in all sorts of fields are producing data at a far faster rate than they can afford to store it.

Today, the hard disk drive industry and its big three companies - Seagate, Western Digital and Toshiba - are in decline. The Solid State Drive or SSD is on the rise. SSDs are faster, more reliable, and consume less power. Something that began 30 years ago with replacing audio tapes in telephone answering machines - remember those? - has grown to power a $60 billion market per the IEEE. HDD unit volume sales will never be as they were before. Consumers no longer buy HDDs for their iPods, laptops or even desktops. Sad. But the HDD's march towards oblivion has been arrested by a new market: Growing demand from enterprise companies storing data for "nearline" storage. Nearline, referring to data that the customer needs accessible but not so frequently nor immediately. This market is real. Companies in all sorts of fields are producing data at a far faster rate than they can afford to store it.

La bolletta dei datacenter per l'IA. La deriva dei modelli LLM. Trenitalia fa retromarcia sui check-in. Sequestro nel mondo del retrogaming. Queste e molte altre le notizie tech commentate nella puntata di questa settimana.Dallo studio distribuito di digitalia:Franco Solerio, Francesco Facconi, Giulio CupiniProduttori esecutivi:Nicola Gabriele Del Popolo, Simone Podico, Alessandro Stevanin, Nicola Grilli, Andrea Nicola Vasile, Roberto A., Daniele Bastianelli, Giovanni Priolo, Raffaele Marco Della Monica, Gabriele Di Lorenzo, Andrea Guido, @Jh4Ckal, Michele Olivieri, Luca Ubiali, Letizia Calcinai, Idle Fellow, Michele Levada, Enrico Carangi, Davide Capra, Donato Gravino, Paolo Bernardini, Christophe Sollami, Davide Tinti, Giuliano Arcinotti, Gianluca Denaci, Michele Francesco Falzarano, Diego Arati, Nicola Fort, Nicola Gabriele Del Popolo, Antonio Taurisano, Manuel Zavatta, Renato Battistin, Michelangelo Rocchetti, @Tiumeito, Matteo Tarabini, Simone Andreozzi, Arzigogolo, Guido Raffaele Piras, Vincenzo Ingenito, Denis Grosso, Alessio Ferrara, Emanuele Libori, Angelo Merendi, Raffaele Viero, Roberto Medeossi, Ftrava, Carlo Tomas, Andrea Picotti, @Ppogo, Marco Grechi, Calogero Augusta, Mario Cervai, Andrea Giovacchini, Anonimo Esse, Paolo Tegoni, @Akagrinta, Alessandro Morgantini, Mario GiammonaSponsor:Squarespace.com - utilizzate il codice coupon "DIGITALIA" per avere il 10% di sconto sul costo del primo acquisto.Links:AI execs meet with White House to talk AI energy and data centersOracle's data center would be powered by 3 small nuclear reactorsWhite House gets commitments from AI companies to curb deepfake pornLLMs are getting dumber and we have no idea whyModel collapse threatens to kill progress on generative AIsMeta scraped every Australian user's account to train its AIFord seeks patent for tech that listens to driver conversations to serve adsEveryone says Chrome devastates Mac battery life but does it?Trenitalia eliminerà il check-in per i treni regionaliUnity is Canceling the Runtime FeeMark Zuckerbergs 20-year mistakeFlappy Bird is finally returning 10 years after its demiseRetrogaming operazione Coin up 80: 12 mila console piratate sequestrateFake retro videogame ring worth 50m smashed in ItalySequestrate migliaia di console: preinstallati milioni di videogiochi piratatiMusic industrys 1990s hard drives like all HDDs are dyingM-DISC - WikipediaApple threatened to move Will Smith movie out of LouisianaGingilli del giorno:eHammurabi - A digital version of the Law Code of Hammurabi, including cuneiform, transliteration, normalization, and an English translation.Commentari degli IncaAnimated Knot ListSupporta Digitalia, diventa produttore esecutivo.

Gaiman & Good Omens; Waymo means Uber drivers are cooked; local muggers; EU not messing around with Apple, Google; DOJ after Google as well; another genetic testing company with security breach disasters; META scraping Australian users' accounts to train AI; banning social media for children; AI to determine unemployment benefits; Lower Decks; Hope Solo vs US Soccer; Alan Cumming; the Perfect Couple; KAOS; Tears for Fears; FruitJuice; iPhone 16 pre-ordering process; AirPods Pro 2 as hearing aids; Flipper Zero; AI Audible narrators; Google AI Notebook podcast generation; RIP, James Earl Jones; Disneyland's Club 33; Overcast follow up; parcopresis & the politics of pooping.Sponsors:DeleteMe - Head over to JoinDeleteMe.com/GOG and use the code "GOG" for 20% off.1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordPrivate Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!Show notes at https://gog.show/665/FOLLOW UPDashaun Wesley & LE SSERAPHIM on InstagramGood Omens Season 3 Reportedly Paused Amid Neil Gaiman ControversyReport: Neil Gaiman May Step Back From Good Omens‘ Final SeasonWhat do Uber drivers make of Waymo? 'We are cooked'Human drivers keep rear-ending WaymosWaymo Safety ImpactIN THE NEWSApple ordered to pay back its illegal $14.4 billion Irish tax breakGoogle loses its seven-year fight against $2.7 billion EU antitrust fineDOJ claims Google has “trifecta of monopolies” on Day 1 of ad tech trialGoogle Teams With the Internet Archive to Revive Cache FeatureGenetic Testing Company Must Issue Refunds After Security Breach DisasterMeta scraped every Australian user's account to train its AIAustralia's Prime Minister wants to ban social media for childrenGoogle's AI Will Help Decide Whether Unemployed Workers Get BenefitsUtah judge blocks law preventing youth from accessing social media freelyMEDIA CANDYStar Trek: Lower Decks Is Back One Last Time With a Swashbuckling New ClipUntold: Hope Solo vs US SoccerAlan Cumming Wins Best Host Emmy for ‘The Traitors,' Ending RuPaul's Eight-Year StreakThe Perfect CoupleKAOSThe Penguin | Official Trailer | MaxSalem's Lot | Official Trailer | MaxTears for Fears Announce First Live Album Songs for a Nervous Planet, Reveal New Song “The Girl That I Call Home”: StreamTears for Fears Announce First Live Album Songs for a Nervous Planet, Reveal New Song “The Girl That I Call Home”: StreamAPPS & DOODADSFruitJuiceApple just got authorization for AirPods Pro 2's hearing aid featureMeet the first major release of Flipper Zero firmware — version 1.0.Audible narrators to create voice replicas using AIGoogle's AI notebook can generate a podcast about your notesMan Used Fake Rock Camera to Film 1,000 Women Bathing in Hot SpringsMusic industry's 1990s hard drives, like all HDDs, are dyingTHE DARK SIDE WITH DAVEDave BittnerThe CyberWireHacking HumansCaveatControl LoopOnly Malware in the BuildingJames Earl Jones, Distinguished Actor and Voice of Darth Vader, Dies at 93“It's a Cult, and Walt's the Messiah”: Meet the Couple Who Sued Disney Over Secretive Club 33Can't Poop at Work? Why Public Bathrooms Give Us AnxietySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of the Tech Talks Daily Podcast, we are joined by Roger Corell, Senior Director of AI and Leadership Marketing at Solidigm. Roger brings his extensive expertise to discuss the transformative role of solid-state drives (SSDs) in enabling artificial intelligence (AI) and enterprise workloads. With a new product launch on the horizon, Roger provides an inside look at how Solidigm is pushing the boundaries of storage technology. Solidigm, a leading provider of NAND flash memory solutions, offers one of the most comprehensive portfolios of enterprise SSDs. These solutions are designed to accelerate workloads, including AI, from the core to the edge, unlocking unprecedented performance while lowering costs and scaling efficiently. Solidigm's commitment to quality and reliability is evident through its rigorous testing and validation processes, ensuring their SSDs meet the highest industry standards. Roger highlights the critical importance of storage for AI applications. As AI models and datasets grow exponentially, the need for fast, dense, and power-efficient storage solutions becomes paramount. SSDs offer significant advantages over traditional hard disk drives (HDDs), including vastly superior speed, density, and energy efficiency. Solidigm's SSDs, particularly the upcoming PCIe Gen 5 D7 series, are engineered to deliver industry-leading performance across all metrics, making them ideal for demanding AI workloads. The conversation also delves into Solidigm's customer-centric approach. Roger explains how Solidigm collaborates closely with enterprise and cloud customers to optimize firmware and testing for real-world conditions. This collaborative effort not only accelerates time-to-market for their solutions but also ensures that the SSDs perform optimally in practical applications, beyond just peak specifications. Roger shares compelling examples of the real-world impact of Solidigm's SSDs. For instance, one hyperscaler was able to cut AI data preparation time by a factor of 50 by switching from HDDs to Solidigm SSDs. Similarly, OCIENT reported significant energy reductions in AI and HPC workloads using Solidigm's QLCSSDs. These examples underscore the tangible benefits that advanced SSD technology can bring to AI and other high-performance computing environments. Looking ahead, Solidigm is poised to sustain its leadership in high-capacity and high-performance SSDs, with plans to introduce next-generation drives exceeding 61TB. The company is also investing in edge data processing capabilities, recognizing the growing importance of data gravity in the AI landscape. By maintaining performance leadership, Solidigm aims to maximize the utilization of costly GPU servers, which are critical for AI training and inference. Join us for this enlightening episode as Roger Corell provides a detailed overview of how SSDs are revolutionizing AI and enterprise workloads. How is your organization leveraging advanced storage solutions to enhance its AI capabilities? Share your thoughts and join the conversation!  

The Personal Computer Show Wednesday July 31st 2024 PRN.live Streaming on the Internet 6:00 PM Eastern Time IN THE NEWS  USPS Shared Customer Postal Addresses with Meta, LinkedIn and Snap  Passwords Disappear for Millions of Windows Users Thanks to Google Microsoft says EU rules Made CrowdStrike Outage Possible  Astronauts Stuck in Space by Malfunctioning Boeing Spacecraft  Charter Loses 393,000 Video Subs in Second Quarter ITPro Series with Benjamin Rockwell  Is it Right to Use AI in Our Jobs? From the Tech Corner  How to Revive Your Broken USB Flash Drive  A History of HDDs and SSDs Technology Chatter with Benjamin Rockwell and Marty Winston  OWC Envoy Pro Mini, Gourmia Espresso Maker 

You didn't ask for it, but here it is. The greatest PC Perspective podcast ever recorded on March 27, 2024. China bans things, FSR 3.1, DirectSR, and EVGA PSU wiring ... Other topics below.Oh, and sorry this is posted late this week!Timestamps:00:00 Intro01:01 Food with Josh03:14 AMD announced FSR 3.1 at GDC08:10 Radeon 7900 GRE gets memory OC unlocked12:05 China bans AMD, Intel, and Windows from Government PCs17:24 ASUS launching NUC 14 Pro20:50 Microsoft DirectSR revealed25:23 EVGA PSU RMA fries HDDs, company makes it right29:09 TrueNAS Core bids goodbye to FreeBSD33:16 (in)Security Corner48:49 Gaming Quick Hits59:36 ECS LIVA Z5 PLUS review1:04:38 Picks of the Week1:14:43 Outro ★ Support this podcast on Patreon ★

In this episode, Chris chats to Rick Kutcipal, "At-Large Director" with the SCSI Trade Association. The topic of conversation is the adoption of SAS media (both HDDs and SSDs) by hyper-scale customers that include public cloud vendors and companies such as Meta.

Chuck provides a briefing on the function and benefits of the OWC Drive Dock from Other World Computing. Connection, operation, and some suggested use cases are included, as well as recommendations on drive naming and bare drive storage when not in use in the Drive Dock.    Show Notes: Chapters: 0:00:00 Introduction to the OWC Drive Dock and its capabilities0:00:27 Overview of the controls and indicators on the OWC Drive Dock0:01:37 Connectivity and usage instructions for the OWC Drive Dock0:02:34 Performance and recommended usage scenarios for the OWC Drive Dock0:03:14 Personal testimonial and additional use cases for the OWC Drive Dock0:04:07 Tips for naming and storing bare drives0:05:25 Pricing and where to purchase the OWC Drive Dock and protective cases0:06:06 Conclusion and recommendation for the OWC Drive Dock Links: OWC Drive Dockhttps://eshop.macsales.com/item/OWC/TCDRVDCK/ OWC Drive Dock (Amazon)https://amzn.to/48fJ5QD Inateck 3.5 Inch Hard Drive Case HDD Protective Box with Shockproof Dustproof and Anti-static Function, Storage Case for 3.5 inch HDDs https://amzn.to/470ZGGX ORICO 5-Pack Hard Drive Case Protective Box for 3.5/2.5 Inch SSD HDD Portable with Anti-Static,Shockproof and Dust Proof Travel Storage https://amzn.to/3TkI4T6 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

Chuck provides a briefing on the function and benefits of the OWC Drive Dock from Other World Computing. Connection, operation, and some suggested use cases are included, as well as recommendations on drive naming and bare drive storage when not in use in the Drive Dock.    Show Notes: Chapters: 0:00:00 Introduction to the OWC Drive Dock and its capabilities 0:00:27 Overview of the controls and indicators on the OWC Drive Dock 0:01:37 Connectivity and usage instructions for the OWC Drive Dock 0:02:34 Performance and recommended usage scenarios for the OWC Drive Dock 0:03:14 Personal testimonial and additional use cases for the OWC Drive Dock 0:04:07 Tips for naming and storing bare drives 0:05:25 Pricing and where to purchase the OWC Drive Dock and protective cases 0:06:06 Conclusion and recommendation for the OWC Drive Dock Links: OWC Drive Dock https://eshop.macsales.com/item/OWC/TCDRVDCK/ OWC Drive Dock (Amazon) https://amzn.to/48fJ5QD Inateck 3.5 Inch Hard Drive Case HDD Protective Box with Shockproof Dustproof and Anti-static Function, Storage Case for 3.5 inch HDDs https://amzn.to/470ZGGX ORICO 5-Pack Hard Drive Case Protective Box for 3.5/2.5 Inch SSD HDD Portable with Anti-Static,Shockproof and Dust Proof Travel Storage https://amzn.to/3TkI4T6 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 00:00:00 Introduction to the OWC Drive Dock and its capabilities 00:00:26 Overview of the controls and indicators on the OWC Drive Dock 00:01:37 Connectivity and usage instructions for the OWC Drive Dock 00:02:33 Performance and recommended usage scenarios for the OWC Drive Dock 00:03:14 Personal testimonial and additional use cases for the OWC Drive Dock 00:04:07 Tips for naming and storing bare drives 00:05:24 Pricing and where to purchase the OWC Drive Dock and protective cases 00:06:06 Conclusion and recommendation for the OWC Drive Dock

Brian invited Seagate’s Colin Presly to the podcast this week to discuss research and… The post Podcast #124: The Path to 50TB HDDs with Frickin Lasers appeared first on StorageReview.com.

WD disks “warning” that they have been running for 3 years, a modern replacement for IMAP that no one seems to be using, the potential issues that arise when PC games require an SSD to run, alternatives to VMware, and verifying your backups.   News/discussion “Clearly predatory”: Western Digital sparks panic, anger for age-shaming HDDs […]

On this show show Synology, Unihertz, Samsung Galaxy S23 FE, 5G Splicing, Anker Prime, JCB Toughphone and Pixel Fold and Tablet mused over by Gareth and Ted. With Gareth Myles and Ted Salmon Join us on Mewe RSS Link: https://techaddicts.libsyn.com/rss Direct Download iTunes | Google Podcasts | Stitcher | Tunein | Spotify  Amazon | Pocket Casts | Castbox | PodHubUK   Feedback, Fallout and Contributions Synology DS923+ Hardline on the hardware Western Digital hopes to release HAMR drives within the next 18 Months Are website builders dying out? Latest stats show a worrying trend Nokia is introducing a novel new way to make your Android phone faster Unihertz Jelly Star: Smallest Android 13 smartphone arrives with performance  Vodafone and Three Mega-Merger Samsung Galaxy S23 FE to launch in select markets in Q3 2023 Pixel Fold ship dates are getting delayed, slipping into July Pixel Tablet review: Uniquely Google, made possible by Android – The Pixel Tablet's new Google Weather app is gorgeous Anker Prime chargers and power banks on the way Samsung brings its self-repair program to the UK Your NFC payments could soon be truly contactless JCB Toughphone and Toughphone Max announced First Rugged Android Tablets With Heated Screens Launched The Name of the Game Pour one out for HDDs because PC games are starting to require SSDs The Light in the Darkness review – a sobering free educational game that confronts the Holocaust Steam gets a huge free update on PC, and it's good news for Steam Deck too EA Games is dead, long live EA Entertainment and EA Sports Flap your trap about an App Made by Google – YouTube  EU regulator orders Google to sell part of ad-tech business Google Domains shutting down, assets sold and being migrated to Squarespace Microsoft tests Windows Ink upgrade that lets you write anywhere you can type Your next job interview could be with AI instead of a person DuckDuckGo now has its own PC browser for keeping what you do online private Google Gallows & Chrome Coroner Google Photos on the web delivers robust editing tools exclusively for Google One subscribers A first look at the Google Password Manager Chromebook app YouTube Transcript Extractor Chrome Extension Chrome can soon convert PDFs into text it can read aloud This is ‘Chromebook X': Google's new standard for ChromeOS – Now ChromeBook Plus Hark Back The Trusty old Joystick Bargain Basement: Best UK deals and tech on sale we have spotted TP-Link Tapo Smart Plug with Energy Monitoring – Now £17.99 Was: £27.99 RØDE Podcaster Dynamic USB Microphone £119 from £149 Samsung SSD 870 EVO, 4 TB – £219.98 £75 cashback from Samsung Logitech Page of Deals at AmazonUK Get Microsoft Office and Windows 11 Pro at a huge discount Motorola Edge 30 Ultra 256GB/12GB £629 from £749 Amazon Basics Monitor Hub Arm Mount Aluminize Silver – £49.15 Main Show URL: http://www.techaddicts.uk | PodHubUK Contact:: gareth@techaddicts.uk | @techaddictsuk Gareth – @garethmyles | Mastodon | garethmyles.com | Gareth's Ko-Fi Ted – tedsalmon.com | Ted's PayPal | Mastodon | Ted's Amazon | tedsalmon@post.com Ricky – @RickysTechTalk | Rickys Tech Talk Youtube | rickystechtalk.com YouTube: Tech Addicts

We discuss the latest AMD RDNA 3, Intel CPU Architecture, and Nvidia Blackwell news! [SPON: dieshrink = 3% off Everything, brokensilicon = 25% off Windows: https://biitt.ly/shbSk ] [SPON: Get 6% OFF Custom PCs & GPUs at https://www.silverknightpcs.com/ w/ “brokensilicon”] [SPON: Get 10% off Tasty Vite Ramen with code BROKENSILICON: https://bit.ly/3wKx6v1 ] 0:00 Intel Codenames Galore, Content Overload (Intro Banter) 5:23 Nintendo's "Lateral Thinking", HDDs vs Tape Drives (Corrections) 16:21 AMD AM5 CPU Burning Issues Investigated 29:44 AdoredTV Leaks “Ladder L3” for Zen 5, DigiTimes confirms MLID Leaks 42:17 RX 7600 8GB targeting below 300 Leak, Navi 33 Recap 1:00:06 AMD Q1 2023 Earnings 1:09:57 Intel Q1 2023 Earnings 1:17:55 Intel 14th Gen Raptor Lake-R, Meteor Lake Ultra, and Arrow Lake Leaked 1:43:13 Adamantine, Dragon Range-X vs Meteor Lake, AMD Complacency 1:50:16 Nvidia Blackwell Delay Rumors - 3nm Woes, or Ampere Oversupply? 2:01:55 MS-Activision Blocked, Phoenix Z1 Extreme, RX 7950 XTX (Wrap-Up) 2:09:00 RDNA 4 VRAM, Broken Silicon 1, MLID Channel Goals (Final Reader Mail) https://www.techpowerup.com/301867/seagate-mechanical-hdd-with-u-2-nvme-interface-pictured-signals-the-decline-of-sas-12g https://youtu.be/kiTngvvD5dI https://youtu.be/3FDh9C59Z1A https://www.hardwaretimes.com/amd-ryzen-8000-cpus-to-be-based-on-4nm-node-not-3nm-5th-gen-epyc-to-get-3nm-rumor/ https://www.digitimes.com.tw/tech/dt/n/shwnws.asp?CnlID=1&Cat=40&id=0000662749_VR76FCFB51XKH38BW2VPS https://www.youtube.com/live/umJQXe5haa0?feature=share&t=736 https://www.newegg.com/sapphire-radeon-rx-6700-11321-02-20g/p/N82E16814202424?Description=RX%206700&cm_re=RX_6700-_-14-202-424-_-Product&quicklink=true https://twitter.com/mooreslawisdead/status/1651351480094408706 https://twitter.com/mooreslawisdead/status/1651489123528581120 https://community.amd.com/t5/gaming/game-beyond-4gb/ba-p/414776 https://ir.amd.com/news-events/press-releases/detail/1128/amd-reports-first-quarter-2023-financial-results https://www.anandtech.com/show/18845/amd-reports-q1-2023-earnings-back-into-the-red-as-client-sales-crumble https://youtu.be/Qa-ZAyQOviY https://www.anandtech.com/show/18839/intel-reports-q1-2023-earnings-a-record-losing-quarter-goes-better-than-expected https://wccftech.com/intel-announces-layoffs-after-paying-1-5-billion-in-q1-dividends/ https://youtu.be/GhLMbFgVfbY https://www.digitimes.com.tw/tech/dt/n/shwnws.asp?CnlID=1&Cat=40&id=0000662749_VR76FCFB51XKH38BW2VPS https://wccftech.com/nvidia-next-gen-3nm-gpus-not-launching-until-2025-tsmc-report/ https://youtu.be/8PVYOeHx8vA https://www.reuters.com/markets/deals/uk-blocks-microsoft-69-bln-activision-deal-over-cloud-gaming-concerns-2023-04-26/ https://www.techspot.com/news/98578-microsoft-might-partnering-amd-ai-chips.html https://videocardz.com/newz/nvidia-forces-msi-to-unlaunch-geforce-rtx-3060-ti-super-3x-series-after-just-one-week https://twitter.com/Kepler_L2/status/1651341246055497732 https://videocardz.com/press-release/amd-announces-ryzen-z1-zen4-apus-for-handheld-gaming-consoles-with-up-to-12-rdna3-gpu-cores https://videocardz.com/newz/amd-introduces-ryzen-7040u-phoenix-low-power-apus-with-up-to-8-zen4-cores-and-12-rdna3-cus https://videocardz.com/newz/nvidia-geforce-rtx-4060-ti-ad106-350-gpu-has-been-pictured https://www.techspot.com/news/98550-amd-confirms-mainstream-rdna-3-gpus-before-summer.html https://twitter.com/Bernard_P/status/1653022115367645190?s=20&fbclid=IwAR29SiFCOdRzQ-QmbSJWpOALAa8-GrqZREXxzD72LT_Iif_eRsYvACP7_uM

Dr. Doug talks: The Tang Dynasty, ZippyShare, NuGet, PinDuoDuo, Ernie, Lantern, HDD hard drives, and more on this edition of the Security Weekly News!   Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn282  Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly 

Dr. Doug talks: The Tang Dynasty, ZippyShare, NuGet, PinDuoDuo, Ernie, Lantern, HDD hard drives, and more on this edition of the Security Weekly News!   Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn282

Dr. Doug talks: The Tang Dynasty, ZippyShare, NuGet, PinDuoDuo, Ernie, Lantern, HDD hard drives, and more on this edition of the Security Weekly News!   Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn282  Follow us on Twitter: https://www.twitter.com/securityweekly Like us on Facebook: https://www.facebook.com/secweekly 

Dr. Doug talks: The Tang Dynasty, ZippyShare, NuGet, PinDuoDuo, Ernie, Lantern, HDD hard drives, and more on this edition of the Security Weekly News!   Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn282

Join Mats Oberg, Associate Vice President, DSP Architecture and podcast host Chris Banuelos on this week's episode, discussing the heart of hard disk drive (HDD) controller design -- Marvell's read channel technology. Learn about the challenges of data storage as data continues its explosive growth, future technologies shaping HDD controller design, and what is next for HDDs. Be sure to check out our other recent podcast episode 24 “Scaling HDD Capacity in the Data Center” to learn more.

A solid-state drive (SSD) is a solid-state storage device that uses integrated circuit assemblies to store data persistently, typically using flash memory, and functioning as secondary storage in the hierarchy of computer storage.[1] It is also sometimes called a semiconductor storage device, a solid-state device or a solid-state disk,[2] even though SSDs lack the physical spinning disks and movable read–write heads used in hard disk drives (HDDs) and floppy disks.[3] SSD also has rich internal parallelism for data processing.[4] Twitter Instagram Mack's channel Intro music by Dan Mason

In this episode, Chris is joined by Phison CTO Sebastien Jean to discuss the transition from HDD to SSD. As pricing for the two media types comes close to reaching parity, this conversation looks at how the two media are evolving and how NAND flash SSDs are set to become the de facto choice for the enterprise data centre. The transition to an all-flash data centre has been predicted for some time, however end game could be on the horizon as soon as 2025 or 2026. The Phison blog discussed by Sebastien can be found here - https://phisonblog.com/ Elapsed Time: 00:44:01 Timeline 00:00:00 - Intros 00:02:45 - Predictions of the death of the hard drive are overdone 00:04:15 - Enterprise SSD prices continue to drop - but don't HDDs do that too? 00:05:30 - 2020 was the cutover year for units produced (SSD vs HDD) 00:06:45 - HDD capacity growth has slowed 00:07:50 - SSD growth is being achieved with 3D techniques 00:09:15 - Floors could be used to increase layer count 00:11:00 - Latency is increasing in newer flash designs 00:13:05 - What is the “acceptable” limit for SSD capacity? 00:14:15 - Dense SSDs will be the norm with NVMe connectivity 00:15:30 - New form factors will drive greater drive capacities 00:17:00 - Is $/GB too simple a measure? 00:19:40 - SSD rebuilds are quick, avoiding the need for RAID-6 00:20:45 - SSD failure is not predictable 00:25:00 - Are HDD shipping costs relevant? 00:26:30 - How are the hyper-scalers using HDDs and driving change? 00:29:15 - Where do we go next - PLC? 00:32:00 - Could an entire SSD be dynamic between SLC and QLC? 00:35:45 - What about new technology Optane 4.0 or MRAM? 00:40:30 - Look out for CXL-enabled SSDs 00:42:40 - 2Tb NAND dies will bring HDD parity Copyright (c) 2016-2022 Unpacked Network. No reproduction or re-use without permission. Podcast episode #34ee.

Brian catches up with Broadcom’s Rick Kutcipal for this session. Rick is a Product… The post Podcast #112: Why HDDs Aren’t Going Away appeared first on StorageReview.com.

About ThomasThomas Hazel is Founder, CTO, and Chief Scientist of ChaosSearch. He is a serial entrepreneur at the forefront of communication, virtualization, and database technology and the inventor of ChaosSearch's patented IP. Thomas has also patented several other technologies in the areas of distributed algorithms, virtualization and database science. He holds a Bachelor of Science in Computer Science from University of New Hampshire, Hall of Fame Alumni Inductee, and founded both student & professional chapters of the Association for Computing Machinery (ACM).Links Referenced: ChaosSearch: https://www.chaossearch.io/ Twitter: https://twitter.com/ChaosSearch Facebook: https://www.facebook.com/CHAOSSEARCH/ TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: This episode is sponsored in part by our friends at AWS AppConfig. Engineers love to solve, and occasionally create, problems. But not when it's an on-call fire-drill at 4 in the morning. Software problems should drive innovation and collaboration, NOT stress, and sleeplessness, and threats of violence. That's why so many developers are realizing the value of AWS AppConfig Feature Flags. Feature Flags let developers push code to production, but hide that that feature from customers so that the developers can release their feature when it's ready. This practice allows for safe, fast, and convenient software development. You can seamlessly incorporate AppConfig Feature Flags into your AWS or cloud environment and ship your Features with excitement, not trepidation and fear. To get started, go to snark.cloud/appconfig. That's snark.cloud/appconfig.Corey: Welcome to Screaming in the Cloud. I'm Corey Quinn. This promoted episode is brought to us by our returning sponsor and friend, ChaosSearch. And once again, the fine folks at ChaosSearch has seen fit to basically subject their CTO and Founder, Thomas Hazel, to my slings and arrows. Thomas, thank you for joining me. It feels like it's been a hot minute since we last caught up.Thomas: Yeah, Corey. Great to be on the program again, then. I think it's been almost a year. So, I look forward to these. They're fun, they're interesting, and you know, always a good time.Corey: It's always fun to just take a look at companies' web pages in the Wayback Machine, archive.org, where you can see snapshots of them at various points in time. Usually, it feels like this is either used for long-gone things and people want to remember the internet of yesteryear, or alternately to deliver sick burns with retorting a “This you,” when someone winds up making an unpopular statement. One of the approaches I like to use it for, which is significantly less nefarious—usually—is looking back in time at companies' websites, just to see how the positioning of the product evolves over time.And ChaosSearch has had an interesting evolution in that direction. But before we get into that, assuming that there might actually be people listening who do not know the intimate details of exactly what it is you folks do, what is ChaosSearch, and what might you folks do?Thomas: Yeah, well said, and I look forward to [laugh] doing the Wayback Time because some of our ideas, way back when, seemed crazy, but now they make a lot of sense. So, what ChaosSearch is all about is transforming customers' cloud object stores like Amazon S3 into an analytical database that supports search and SQL-type use cases. Now, where's that apply? In log analytics, observability, security, security data lakes, operational data, particularly at scale, where you just stream your data into your data lake, connect our service, our SaaS service, to that lake and automagically we index it and provide well-known APIs like Elasticsearch and integrate with Kibana or Grafana, and SQL APIs, something like, say, a Superset or Tableau or Looker into your data. So, you stream it in and you get analytics out. And the key thing is the time-cost complexity that we all know that operational data, particularly at scale, like terabytes and a day and up causes challenges, and we all know how much it costs.Corey: They certainly do. One of the things that I found interesting is that, as I've mentioned before, when I do consulting work at The Duckbill Group, we have absolutely no partners in the entire space. That includes AWS, incidentally. But it was easy in the beginning because I was well aware of what you folks were up to, and it was great when there was a use case that matched of you're spending an awful lot of money on Elasticsearch; consider perhaps migrating some of that—if it makes sense—to ChaosSearch. Ironically, when you started sponsoring some of my nonsense, that conversation got slightly trickier where I had to disclose, yeah our media arm is does have sponsorships going on with them, but that has no bearing on what I'm saying.And if they take their sponsorships away—please don't—then we would still be recommending them because it's the right answer, and it's what we would use if we were in your position. We receive no kickbacks or partner deal or any sort of reseller arrangement because it just clouds the whole conflict of interest perception. But you folks have been fantastic for a long time in a bunch of different ways.Thomas: Well, you know, I would say that what you thought made a lot of sense made a lot of sense to us as well. So, the ChaosSearch idea just makes sense. Now, you had to crack some code, solve some problems, invent some technology, and create some new architecture, but the idea that Elasticsearch is a useful solution with all the tooling, the visualization, the wonderful community around that, was a good place to start, but here's the problem: setting it up, scaling it out, keep it up, when things are happening, things go bump in the night. All those are real challenges, and one of them was just the storaging of the data. Well, what if you could make S3 the back-end store? One hundred percent; no SSDs or HDDs. Makes a lot of sense.And then support the APIs that your tooling uses. So, it just made a lot of sense on what we were trying to do, just no one thought of it. Now, if you think about the Northstar you were talking about, you know, five, six years ago, when I said, transforming cloud storage into an analytical database for search and SQL, people thought that was crazy and mad. Well, now everyone's using Cloud Storage, everyone's using S3 as a data lake. That's not in question anymore.But it was a question five, six, you know, years ago. So, when we met up, you're like, “Well, that makes sense.” It always made sense, but people either didn't think was possible, or were worried, you know, I'll just try to set up an Elastic cluster and deal with it. Because that's what happens when you particularly deal with large-scale implementations. So, you know, to us, we would love the Elastic API, the tooling around it, but what we all know is the cost, the time the complexity, to manage it, to scale it out, just almost want to pull your hair out. And so, that's where we come in is, don't change what you do, just change how you do it.Corey: Every once in a while, I'll talk to a client who's running an Amazon Elasticsearch cluster, and they have nothing but good things to say about it. Which, awesome. On the one hand, part of me wishes that I had some of their secrets, but often what's happened is that they have this down to a science, they have a data lifecycle that's clearly defined and implemented, the cluster is relatively static, so resizes aren't really a thing, and it just works for their use cases. And in those scenarios, like, “Do you care about the bill?” “Not overly. We don't have to think about it.”Great. Then why change? If there's no pain, you're not going to sell someone something, especially when we're talking, this tends to be relatively smaller-scale as well. It's okay, great, they're spending $5,000 a month on it. It doesn't necessarily justify the engineering effort to move off.Now, when you start looking at this, and, “Huh, that's a quarter million bucks a month we're spending on this nonsense, and it goes down all the time,” yeah, that's when it starts to be one of those logical areas to start picking apart and diving into. What's also muddied the waters since the last time we really went in-depth on any of this was it used to be we would be talking about it exactly like we are right now, about how it's Elasticsearch-compatible. Technically, these days, we probably shouldn't be saying it is OpenSearch compatible because of the trademark issues between Elastic and AWS and the Schism of the OpenSearch fork of the Elasticsearch project. And now it feels like when you start putting random words in front of the word search, ChaosSearch fits right in. It feels like your star is rising.Thomas: Yeah, no, well said. I appreciate that. You know, it's funny when Elastic changed our license, we all didn't know what was going to happen. We knew something was going to happen, but we didn't know what was going to happen. And Amazon, I say ironically, or, more importantly, decided they'll take up the open mantle of keeping an open, free solution.Now, obviously, they recommend running that in their cloud. Fair enough. But I would say we don't hear as much Elastic replacement, as much as OpenSearch replacement with our solution because of all the benefits that we talked about. Because the trigger points for when folks have an issue with the OpenSearch or Elastic stack is got too expensive, or it was changing so much and it was falling over, or the complexity of the schema changing, or all the above. The pipelines were complex, particularly at scale.That's both for Elasticsearch, as well as OpenSearch. And so, to us, we want either to win, but we want to be the replacement because, you know, at scale is where we shine. But we have seen a real trend where we see less Elasticsearch and more OpenSearch because the community is worried about the rules that were changed, right? You see it day in, day out, where you have a community that was built around open and fair and free, and because of business models not working or the big bad so-and-so is taking advantage of it better, there's a license change. And that's a trust change.And to us, we're following the OpenSearch path because it's still open. The 600-pound gorilla or 900-pound gorilla of Amazon. But they really held the mantle, saying, “We're going to stay open, we assume for as long as we know, and we'll follow that path. But again, at that scale, the time, the costs, we're here to help solve those problems.” Again, whether it's on Amazon or, you know, Google et cetera.Corey: I want to go back to what I mentioned at the start of this with the Wayback Machine and looking at how things wound up unfolding in the fullness of time. The first time that it snapshotted your site was way back in the year 2018, which—Thomas: Nice. [laugh].Corey: Some of us may remember, and at that point, like, I wasn't doing any work with you, and later in time I would make fun of you folks for this, but back then your brand name was in all caps, so I would periodically say things like this episode is sponsored by our friends at [loudly] CHAOSSEARCH.Thomas: [laugh].Corey: And once you stopped capitalizing it and that had faded from the common awareness, it just started to look like I had the inability to control the volume of my own voice. Which, fair, but generally not mid-sentence. So, I remember those early days, but the positioning of it was, “The future of log management and analytics,” back in 2018. Skipping forward a year later, you changed this because apparently in 2019, the future was already here. And you were talking about, “Log search analytics, purpose-built for Amazon S3. Store everything, ask anything all on your Amazon S3.”Which is awesome. You were still—unfortunately—going by the all caps thing, but by 2020, that wound up changing somewhat significantly. You were at that point, talking for it as, “The data platform for scalable log analytics.” Okay, it's clearly heading in a log direction, and that made a whole bunch of sense. And now today, you are, “The data lake platform for analytics at scale.” So, good for you, first off. You found a voice?Thomas: [laugh]. Well, you know, it's funny, as a product mining person—I'll take my marketing hat off—we've been building the same solution with the same value points and benefits as we mentioned earlier, but the market resonates with different terminology. When we said something like, “Transforming your Cloud Object Storage like S3 into an analytical database,” people were just were like, blown away. Is that even possible? Right? And so, that got some eyes.Corey: Oh, anything is a database if you hold that wrong. Absolutely.Thomas: [laugh]. Yeah, yeah. And then you're saying log analytics really resonated for a few years. Data platform, you know, is more broader because we do more broader things. And now we see over the last few years, observability, right? How do you fit in the observability viewpoint, the stack where log analytics is one aspect to it?Some of our customers use Grafana on us for that lens, and then for the analysis, alerting, dashboarding. You can say that Kibana in the hunting aspect, the log aspects. So, you know, to us, we're going to put a message out there that resonates with what we're hearing from our customers. For instance, we hear things like, “I need a security data lake. I need that. I need to stream all my data. I need to have all the data because what happens today that now, I need to know a week, two weeks, 90 days.”We constantly hear, “I need at least 90 days forensics on that data.” And it happens time and time again. We hear in the observability stack where, “Hey, I love Datadog, but I can't afford it more than a week or two.” Well, that's where we come in. And we either replace Datadog for the use cases that we support, or we're auxiliary to it.Sometimes we have an existing Grafana implementation, and then they store data in us for the long tail. That could be the scenario. So, to us, the message is around what resonates with our customers, but in the end, it's operational data, whether you want to call it observability, log analytics, security analytics, like the data lake, to us, it's just access to your data, all your data, all the time, and supporting the APIs and the tooling that you're using. And so, to me, it's the same product, but the market changes with messaging and requirements. And this is why we always felt that having a search and SQL platform is so key because what you'll see in Elastic or OpenSearch is, “Well, I only support the Elastic API. I can't do correlations. I can't do this. I can't do that. I'm going to move it over to say, maybe Athena but not so much. Maybe a Snowflake or something else.”Corey: “Well, Thomas, it's very simple. Once you learn our own purpose-built, domain-specific language, specifically for our product, well, why are you still sitting here, go learn that thing.” People aren't going to do that.Thomas: And that's what we hear. It was funny, I won't say what the company was, a big banking company that we're talking to, and we hear time and time again, “I only want to do it via the Elastic tooling,” or, “I only want to do it via the BI tooling.” I hear it time and time again. Both of these people are in the same company.Corey: And that's legitimate as well because there's a bunch of pre-existing processes pointing at things and we're not going to change 200 different applications in their data model just because you want to replace a back-end system. I also want to correct myself. I was one tab behind. This year's branding is slightly different: “Search and analyze unlimited log data in your cloud object storage.” Which is, I really like the evolution on this.Thomas: Yeah, yeah. And I love it. And what was interesting is the moving, the setting up, the doubling of your costs, let's say you have—I mean, we deal with some big customers that have petabytes of data; doubling your petabytes, that means, if your Elastic environment is costing you tens of millions and then you put into Snowflake, that's also going to be tens of millions. And with a solution like ours, you have really cost-effective storage, right? Your cloud storage, it's secure, it's reliable, it's Elastic, and you attach Chaos to get the well-known APIs that your well-known tooling can analyze.So, to us, our evolution has been really being the end viewpoint where we started early, where the search and SQL isn't here today—and you know, in the future, we'll be coming out with more ML type tooling—but we have two sides: we have the operational, security, observability. And a lot of the business side wants access to that data as well. Maybe it's app data that they need to do analysis on their shopping cart website, for instance.Corey: The thing that I find curious is, the entire space has been iterating forward on trying to define observability, generally, as whatever people are already trying to sell in many cases. And that has seemed to be a bit of a stumbling block for a lot of folks. I figured this out somewhat recently because I've built the—free for everyone to use—the lasttweetinaws.com, Twitter threading client.That's deployed to 20 different AWS regions because it's go—the idea is that should be snappy for people, no matter where they happen to be on the planet, and I use it for conferences when I travel, so great, let's get ahead of it. But that also means I've got 20 different sources of logs. And given that it's an omnibus Lambda function, it's very hard to correlate that to users, or user sessions, or even figure out where it's going. The problem I've had is, “Oh, well, this seems like something I could instrument to spray logs somewhere pretty easily, but I don't want to instrument it for 15 different observability vendors. Why don't I just use otel—or Open Telemetry—and then tell that to throw whatever I care about to various vendors and do a bit of a bake-off?” The problem, of course, is that open telemetry and Lambda seem to be in just the absolute wrong directions. A lot.Thomas: So, we see the same trend of otel coming out, and you know, this is another API that I'm sure we're going to go all-in on because it's getting more and more talked about. I won't say it's the standard that I think is trending to all your points about I need to normalize a process. But as you mentioned, we also need to correlate across the data. And this is where, you know, there are times where search and hunting and alerting is awesome and wonderful and solves all your needs, and sometimes correlation. Imagine trying to denormalize all those logs, set up a pipeline, put it into some database, or just do a SELECT *, you know, join this to that to that, and get your answers.And so, I think both OpenTelemetry and SQL and search all need to be played into one solution, or at least one capability because if you're not doing that, you're creating some hodgepodge pipeline to move it around and ultimately get your questions answered. And if it takes weeks—maybe even months, depending on the scale—you may sometimes not choose to do it.Corey: One other aspect that has always annoyed me about more or less every analytics company out there—and you folks are no exception to this—is the idea of charging per gigabyte ingested because that inherently sets up a weird dichotomy of, well, this is costing a lot, so I should strive to log less. And that is sort of the exact opposite, not just of the direction you folks want customers to go in, but also where customers themselves should be going in. Where you diverge from an awful lot of those other companies because of the nature of how you work, is that you don't charge them again for retention. And the idea that, yeah, the fact that anything stored in ChaosSearch lives in your own S3 buckets, you can set your own lifecycle policies and do whatever you want to do with that is a phenomenal benefit, just because I've always had a dim view of short-lived retention periods around logs, especially around things like audit logs. And these days, I would consider getting rid of audit logging data and application logging data—especially if there's a correlation story—any sooner than three years feels like borderline malpractice.Thomas: [laugh]. We—how many times—I mean, we've heard it time and time again is, “I don't have access to that data because it was too costly.” No one says they don't want the data. They just can't afford the data. And one of the key premises that if you don't have all the data, you're at risk, particularly in security—I mean, even audits. I mean, so many times our customers ask us, you know, “Hey, what was this going on? What was that go on?” And because we can so cost-effectively monitor our own service, we can provide that information for them. And we hear this time and time again.And retention is not a very sexy aspect, but it's so crucial. Anytime you look in problems with X solution or Y solution, it's the cost of the data. And this is something that we wanted to address, officially. And why do we make it so cost-effective and free after you ingest it was because we were using cloud storage. And it was just a great place to land the data cost-effective, securely.Now, with that said, there are two types of companies I've seen. Everybody needs at least 90 days. I see time and time again. Sure, maybe daily, in a weeks, they do a lot of their operation, but 90 days is where it lands. But there's also a bunch of companies that need it for years, for compliance, for audit reasons.And imagine trying to rehydrate, trying to rebuild—we have one customer—again I won't say who—has two petabytes of data that they rehydrate when they need it. And they say it's a nightmare. And it's growing. What if you just had it always alive, always accessible? Now, as we move from search to SQL, there are use cases where in the log world, they just want to pay upfront, fixed fee, this many dollars per terabyte, but as we get into the more ad hoc side of it, more and more folks are asking for, “Can I pay per query?”And so, you'll see coming out soon, about scenarios where we have a different pricing model. For logs, typically, you want to pay very consistent, you know, predetermined cost structure, but in the case of more security data lakes, where you want to go in the past and not really pay for something until you use it, that's going to be an option as well coming out soon. So, I would say you need both in the pricing models, but you need the data to have either side, right?Corey: This episode is sponsored in part by our friends at ChaosSearch. You could run Elasticsearch or Elastic Cloud—or OpenSearch as they're calling it now—or a self-hosted ELK stack. But why? ChaosSearch gives you the same API you've come to know and tolerate, along with unlimited data retention and no data movement. Just throw your data into S3 and proceed from there as you would expect. This is great for IT operations folks, for app performance monitoring, cybersecurity. If you're using Elasticsearch, consider not running Elasticsearch. They're also available now in the AWS marketplace if you'd prefer not to go direct and have half of whatever you pay them count towards your EDB commitment. Discover what companies like Equifax, Armor Security, and Blackboard already have. To learn more, visit chaossearch.io and tell them I sent you just so you can see them facepalm, yet again.Corey: You'd like to hope. I mean, you could always theoretically wind up just pulling what Ubiquiti apparently did—where this came out in an indictment that was unsealed against an insider—but apparently one of their employees wound up attempting to extort them—which again, that's not their fault, to be clear—but what came out was that this person then wound up setting the CloudTrail audit log retention to one day, so there were no logs available. And then as a customer, I got an email from them saying there was no evidence that any customer data had been accessed. I mean, yeah, if you want, like, the world's most horrifyingly devilish best practice, go ahead and set your log retention to nothing, and then you too can confidently state that you have no evidence of anything untoward happening.Contrast this with what AWS did when there was a vulnerability reported in AWS Glue. Their analysis of it stated explicitly, “We have looked at our audit logs going back to the launch of the service and have conclusively proven that the only time this has ever happened was in the security researcher who reported the vulnerability to us, in their own account.” Yeah, one of those statements breeds an awful lot of confidence. The other one makes me think that you're basically being run by clowns.Thomas: You know what? CloudTrail is such a crucial—particularly Amazon, right—crucial service because of that, we see time and time again. And the challenge of CloudTrail is that storing a long period of time is costly and the messiness the JSON complexity, every company struggles with it. And this is how uniquely—how we represent information, we can model it in all its permutations—but the key thing is we can store it forever, or you can store forever. And time and time again, CloudTrail is a key aspect to correlate—to your question—correlate this happened to that. Or do an audit on two years ago, this happened.And I got to tell you, to all our listeners out there, please store your CloudTrail data—ideally in ChaosSearch—because you're going to need it. Everyone always needs that. And I know it's hard. CloudTrail data is messy, nested JSON data that can explode; I get it. You know, there's tricks to do it manually, although quite painful. But CloudTrail, every one of our customers is indexing with us in CloudTrail because of stories like that, as well as the correlation across what maybe their application log data is saying.Corey: I really have never regretted having extra logs lying around, especially with, to be very direct, the almost ridiculously inexpensive storage classes that S3 offers, especially since you can wind up having some of the offline retrieval stuff as part of a lifecycle policy now with intelligent tiering. I'm a big believer in just—again—the Glacier Deep Archive I've at the cost of $1,000 a month per petabyte, with admittedly up to 12 hours of calling that as a latency. But that's still, for audit logs and stuff like that, why would I ever want to delete things ever again?Thomas: You're exactly right. And we have a bunch of customers that do exactly that. And we automate the entire process with you. Obviously, it's your S3 account, but we can manage across those tiers. And it's just to a point where, why wouldn't you? It's so cost-effective.And the moments where you don't have that information, you're at risk, whether it's internal audits, or you're providing a service for somebody, it's critical data. With CloudTrail, it's critical data. And if you're not storing it and if you're not making it accessible through some tool like an Elastic API or Chaos, it's not worth it. I think, to your point about your story, it's epically not worth it.Corey: It's really not. It's one of those areas where that is not a place to overly cost optimize. This is—I mean we talked earlier about my business and perceptions of conflict of interest. There's a reason that I only ever charge fixed-fee and not percentage of savings or whatnot because, at some point, I'll be placed in a position of having to say nonsense, like, “Do you really need all of these backups?” That doesn't make sense at that point.I do point out things like you have hourly disk snapshots of your entire web fleet, which has no irreplaceable data on them dating back five years. Maybe cleaning some of that up might be the right answer. The happy answer is somewhere in between those two, and it's a business decision around exactly where that line lies. But I'm a believer in never regretting having kept logs almost into perpetuity. Until and unless I start getting more or less pillaged by some particularly rapacious vendor that's oh, yeah, we're going to charge you not just for ingest, but also for retention. And for how long you want to keep it, we're going to treat it like we're carving it into platinum tablets. No. Stop that.Thomas: [laugh]. Well, you know, it's funny, when we first came out, we were hearing stories that vendors were telling customers why they didn't need their data, to your point, like, “Oh, you don't need that,” or, “Don't worry about that.” And time and time again, they said, “Well, turns out we didn't need that.” You know, “Oh, don't index all your data because you just know what you know.” And the problem is that life doesn't work out that way business doesn't work out that way.And now what I see in the market is everyone's got tiering scenarios, but the accessibility of that data takes some time to get access to. And these are all workarounds and bandaids to what fundamentally is if you design an architecture and a solution is such a way, maybe it's just always hot; maybe it's just always available. Now, we talked about tiering off to something very, very cheap, then it's like virtually free. But you know, our solution was, whether it's ultra warm, or this tiering that takes hours to rehydrate—hours—no one wants to live in that world, right? They just want to say, “Hey, on this date on this year, what was happening? And let me go look, and I want to do it now.”And it has to be part of the exact same system that I was using already. I didn't have to call up IT to say, “Hey, can you rehydrate this?” Or, “Can I go back to the archive and look at it?” Although I guess we're talking about archiving with your website, viewing from days of old, I think that's kind of funny. I should do that more often myself.Corey: I really wish that more companies would put themselves in the customers' shoes. And for what it's worth, periodically, I've spoken to a number of very happy ChaosSearch customers. I haven't spoken to any angry ones yet, which tells me you're either terrific at crisis comms, or the product itself functions as intended. So, either way, excellent job. Now, which team of yours is doing that excellent job, of course, is going to depend on which one of those outcomes it is. But I'm pretty good at ferreting out stories on those things.Thomas: Well, you know, it's funny, being a company that's driven by customer ask, it's so easy build what the customer wants. And so, we really take every input of what the customer needs and wants—now, there are cases where we relace Splunk. They're the Cadillac, they have all the bells and whistles, and there's times where we'll say, “Listen, that's not what we're going to do. We're going to solve these problems in this vector.” But they always keep on asking, right? You know, “I want this, I want that.”But most of the feedback we get is exactly what we should be building. People need their answers and how they get it. It's really helped us grow as a company, grow as a product. And I will say ever since we went live now many, many years ago, all our roadmap—other than our Northstar of transforming cloud storage into a search SQL big data analytics database has been customer-driven, market customer-driven, like what our customer is asking for, whether it's observability and integrating with Grafana and Kibana or, you know, security data lakes. It's just a huge theme that we're going to make sure that we provide a solution that meets those needs.So, I love when customers ask for stuff because the product just gets better. I mean, yeah, sometimes you have to have a thick skin, like, “Why don't you have this?” Or, “Why don't you have that?” Or we have customers—and not to complain about customers; I love our customers—but they sometimes do crazy things that we have to help them on crazy-ify. [laugh]. I'll leave it at that. But customers do silly things and you have to help them out. I hope they remember that, so when they ask for a feature that maybe takes a month to make available, they're patient with us.Corey: We sure can hope. I really want to thank you for taking so much time to once again suffer all of my criticisms, slings and arrows, blithe market observations, et cetera, et cetera. If people want to learn more, where's the best place to find you?Thomas: Well, of course, chaossearch.io. There's tons of material about what we do, use cases, case studies; we just published a big case study with Equifax recently. We're in Gartner and a whole bunch of Hype Cycles that you can pull down to see how we fit in the market.Reach out to us. You can set up a trial, kick the tires, again, on your cloud storage like S3. And ChaosSearch on Twitter, we have a Facebook, we have all this classic social medias. But our website is really where all the good content and whether you want to learn about the architecture and how we've done it, and use cases; people who want to say, “Hey, I have a problem. How do you solve it? How do I learn more?”Corey: And we will, of course, put links to that in the show notes. For my own purposes, you could also just search for the term ChaosSearch in your email inbox and find one of their sponsored ads in my newsletter and click that link, but that's a little self-serving as we do it. I'm kidding. I'm kidding. There's no need to do that. That is not how we ever evaluate these things. But it is funny to tell that story. Thomas, thank you so much for your time. As always, it's appreciated.Thomas: Corey Quinn, I truly enjoyed this time. And I look forward to upcoming re:Invent. I'm assuming it's going to be live like last year, and this is where we have a lot of fun with the community.Corey: Oh, I have no doubt that we're about to go through that particular path very soon. Thank you. It's been an absolute pleasure.Thomas: Thank you.Corey: Thomas Hazel, CTO and Founder of ChaosSearch. I'm Cloud Economist Corey Quinn and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice, along with an angry, insulting comment that I will then set to have a retention period of one day, and then go on to claim that I have received no negative feedback.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.Announcer: This has been a HumblePod production. Stay humble.

New Google Privacy app; iOS 16 Safety Check & security; Storage: Floppy disks, SSDs or HDDs?; Smartphone hidden features; Improve signal strength; LEGO sets retiring; Ring Nation; Sci-Fi streaming; Netflix Top Ten

Once again Chris is joined by Rick Kutcipal, board member with the SCSI Trade Association. It's been four years since episode #74 when Rick provided an update on SAS 24Gb. This time, Rick has details of new features in 24Gb+. What does the "plus" mean in this context? While the bus speed may not be increasing, new features (+) are continually being added to the SAS protocol, hence the additional designation. In this episode, Rick discusses some interesting enhancements to drive management, mainly driven by the demands of hyper-scalers. These include Command Duration Limits, Format with Presets and Logical Depopulation. There are also additional features still in discussion that may yet be added in future releases. To learn more about the work of the SCSI Trade Association, hop over to www.scsita.org, or of course, simply listen to our next podcast after Flash Memory Summit 2023. Elapsed Time: 00:00:24:19 Timeline 00:00:00 - Intros 00:01:45 - How has the SCSI/SAS standard evolved? 00:03:00 - There's no need (currently) to go faster than 24Gb 00:03:50 - What features keep SAS relevant in the market? 00:05:35 - Hyper-scalers are driving the use of HDDs and SAS 00:06:50 - What's new in 24Gb+? 00:09:45 - Enterprise customers will use new features (driven by hyper-scalers) 00:10:15 - What is Command Duration Limits (CDL)? 00:11:25 - What is Format with Presets? 00:13:25 - What is Logical Depopulation? 00:17:30 - Drive failure is a part of “normal” operations 00:17:50 - What features are under consideration? 00:20:15 - How will 24Gb+ features be rolled out? 00:22:30 - Wrap Up Related Podcasts & Blogs #74 - All About Serial Attached SCSI with Rick Kutcipal #161 - Seagate MACH.2 Dual Actuator Drive Deep Dive #174 - Introduction to Zoned Storage with Phil Bullinger Copyright (c) 2016-2022 Storage Unpacked. No reproduction or re-use without permission. Podcast episode #fveh.

European Union lawmakers agreed on new proposals to force manufacturers use USB Type-C. Elon Musk to get Twitter data access to settle bot complaints. Microsoft wants to kill HDDs.

" The Personal Computer Show Wednesday March 9, 2022 PRN.live Streaming on the Internet 6:00 PM Eastern Time IN THE NEWS o Amazon Closing All 68 of its Books, 4-Star, and Pop-Up Stores o New Ohio Law Cracking Down on Robocalls o Backblaze Report SSDs are as Reliable as HDDs o Russia Says NASA Can Use Broomsticks to Fly in Space o Internet Backbone Provider Shuts Off Service in Russia IT Pro Series with Benjamin Rockwell o Building Your Brand on LinkedIn - Part 1 of 3 From The Tech Corner o Hubble Space Telescope 20 Years of Ground Breaking Discovery with ACS o Redesigning How CPU's are Built Technology Chatter with Benjamin Rockwell and Marty Winston o Zombie Shipping Containers Disrupting Economy "