Podcasts about turbo

Spike and Zuckerman hold down the garage, while Jonny is lost somewhere in Austin. Zuckerman rolls in a pristine 1968 Alfa Romeo GT Junior (factory plastic still on the seats) and Brian Finster from Sotheby's Motorsport stops by to talk high-end online car auctions. Also on the docket: California's Montana car registration tax evasion crackdown, the new Porsche 911 Turbo S putting GT3 buyers in an existential crisis, and somehow... funeral home horror stories. ______________________________________________

This one was recorded on March 2 in Tombstone, Arizona, the day after our gig at Tombstone Brewing Company. Before heading out for Kingman, we spent the morning talking with some of the local business owners, all of them passionate as hell about what they do and full of great stories. We sat out on the brewery patio with taproom manager Don Phillips and owner Matt Brown (via phone), talking about how Tombstone Brewing got started, how it's grown, and what makes the place tick. We loved this venue from the jump... great people, GREAT beer, and just a great atmosphere all around. While talking with Don and Matt, we also got to meet Ritchie Rhinehardt of Dick's Diner, the food truck on the patio. Ritchie's a musician too, and it shows in the way he talks about food: meticulous, hands-on, and serious about doing it right. KILLER food (we can all vouch for that), and a perfect match for the brewery. Before all that, we stopped in at Cowboy Coffee right down the street and talked with Jay Kearney, who opened the shop with his brother Tim last fall. Jay's got deep roots in Tombstone, so along with serving the best coffee in town, he had some great stories about the area and the building itself. This was only our second time playing in Tombstone and it already feels like home. Can't wait to get back and see all our new friends again. Show dates Blaggards.com Facebook Bandsintown Follow us on social media YouTube Facebook Twitter Instagram Become a Patron Join Blaggards on Patreon for bonus podcast content, live tracks, rough mixes, and other exclusives. Rate us Rate and review SlapperCast on iTunes Questions? If you have questions for a future Q&A episode, leave a comment on Patreon, or tweet them to us with the hashtag #slappercast.

- Iran War: German Chemical Co's Cut Production  - Bahrain Smelter Shutdown Spikes Aluminum Prices - Iran War Forces F1 Race Cancellations - Canada Conservatives Propose Automotive Trade Rule - VinFast Revenue Soars, Loses $1.4 Billion - China: Don't Sell Solid-State Batteries For 2 Years - Mercedes And Geely Negotiating Deeper Ties - Peugeot's New 1.3L Turbo w/ 15,500 Mile Maintenance - FTC Cracks Down on Misleading Dealership Ads

- Iran War: German Chemical Co's Cut Production  - Bahrain Smelter Shutdown Spikes Aluminum Prices - Iran War Forces F1 Race Cancellations - Canada Conservatives Propose Automotive Trade Rule - VinFast Revenue Soars, Loses $1.4 Billion - China: Don't Sell Solid-State Batteries For 2 Years - Mercedes And Geely Negotiating Deeper Ties - Peugeot's New 1.3L Turbo w/ 15,500 Mile Maintenance - FTC Cracks Down on Misleading Dealership Ads

Recorded 2026-03-13 00:59:28

In dieser Folge analysiert Karl Matthäus Schmidt, Vorstandsvorsitzender der Quirin Privatbank und Gründer der digitalen Geldanlage quirion, den aktuellen Aktien-Boom rund um die Künstliche Intelligenz. Während Milliarden in Chips und Rechenzentren fließen, wächst die Sorge vor einer neuen Tech-Blase. Dazu kommen Ängste, dass die KI ganze Geschäftsmodelle ausradieren könnte. Wir beleuchten, inwieweit diese Bedenken berechtigt sind und wie sich Anlegerinnen und Anlegern vor diesem Hintergrund am besten verhalten sollten. Karl beantwortet folgende Fragen: Wann, wo und wie hat Schmidt das letzte Mal KI benutzt? (1:20) Wie ist der aktuelle KI-Boom einzuschätzen, entsteht da etwas historisch Großes oder überwiegen die Bedenken? (2:07) Ist der Vergleich der KI mit der Erfindung der Dampfmaschine, der Elektrizität oder des Internets gerechtfertigt? (3:54) Wie stark dürfte KI das Weltwirtschaftswachstum beschleunigen? (5:14) Ist der entscheidende Unterschied zu früheren Tech-Hypes, dass diesmal viele große Konzerne schon gutes Geld verdienen? (6:46) Wenn KI tatsächlich zu massiven Produktivitätsgewinnen führt – sind die heutigen Aktien-Bewertungen dann vielleicht sogar rational? (8:10) Können die massiven Investitionen der Konzerne in Rechenzentren zum Fass ohne Boden werden? (9:53) Wie gefährlich ist die gegenseitige finanzielle Verflechtung großer KI-Akteure? (11:11) Hat das Ganze nicht doch Parallelen zur Dotcom-Blase Anfang der 2000er Jahre? (11:55) Stehen wir durch KI vor einer massiven Disruption etablierter Geschäftsmodelle? (12:43) Wird die KI zu massiver Arbeitslosigkeit führen? (13:27) Wie gehen Anleger am besten damit um, dass es wahnsinnig schwer ist, die Erfolgsaussichten einzelner KI-Unternehmen zu bewerten? (14:44) Wie viel KI-Investments sollten heute in einer gut strukturieren Anlage stecken? (16:02) Gut zu wissen: KI verändert die gesamte Art und Weise, wie wir weltweit produzieren und konsumieren und dürfte langfristig positiv auf das globale Wachstum ausstrahlen. Im Finanzsektor kann KI für sinnvollere Wissensvermittlung an Anleger sorgen. Im Gegensatz zur 2000er Dotcom-Blase sind die heutigen KI-Marktführer hochprofitabel, was die Bewertungen rationaler macht als damals, dennoch gibt es hier und da Übertreibungen. Nach einer gigantischen Spekulationsblase sieht es nicht aus, enttäuschte Gewinnerwartungen können aber jederzeit zu stärkeren Kurskorrekturen führen. Der Investitionsdruck ist für Unternehmen sehr hoch, um nicht den Anschluss zu verlieren. Das birgt Abschreibungsrisiken. Risiken liegen teilweise auch in finanziellen Verflechtungen großer KI-Akteure. KI dürfte klassische Software nicht einfach ersetzen, sondern bestehende Werkzeuge verbessern. Etablierte Anbieter haben durch ihren Datenzugang oft einen „Heimvorteil“. KI löscht seltener ganze Berufe aus, verändert aber Aufgabenprofile radikal. Der „wirtschaftliche Turbo“ entsteht dort, wo Menschen durch KI verstärkt, statt nur ersetzt werden. Da niemand weiß, welche Aktien am meisten von KI profitieren, ist die breite Marktabdeckung über alle Branchen hinweg die klügste Strategie. Folgenempfehlung: Folge 183: Geld anlegen mit KI – kann ChatGPT die Märkte vorhersehen?   (00:01:20) Wann, wo und wie hat Schmidt das letzte Mal KI benutzt? (1:20) (00:02:07) Wie ist der aktuelle KI-Boom einzuschätzen, entsteht da etwas historisch Großes oder überwiegen die Bedenken? (2:07) (00:03:54) Ist der Vergleich der KI mit der Erfindung der Dampfmaschine, der Elektrizität oder des Internets gerechtfertigt? (3:54) (00:05:14) Wie stark dürfte KI das Weltwirtschaftswachstum beschleunigen? (5:14) (00:06:46) Ist der entscheidende Unterschied zu früheren Tech-Hypes, dass diesmal viele große Konzerne schon gutes Geld verdienen? (6:46) (00:08:10) Wenn KI tatsächlich zu massiven Produktivitätsgewinnen führt – sind die heutigen Aktien-Bewertungen dann vielleicht sogar rational? (8:10) (00:09:53) Können die massiven Investitionen der Konzerne in Rechenzentren zum Fass ohne Boden werden? (9:53) (00:11:11) Wie gefährlich ist die gegenseitige finanzielle Verflechtung großer KI-Akteure? (11:11) (00:11:55) Hat das Ganze nicht doch Parallelen zur Dotcom-Blase Anfang der 2000er Jahre? (11:55) (00:12:43) Stehen wir durch KI vor einer massiven Disruption etablierter Geschäftsmodelle? (12:43) (00:13:27) Wird die KI zu massiver Arbeitslosigkeit führen? (13:27) (00:14:44) Wie gehen Anleger am besten damit um, dass es wahnsinnig schwer ist, die Erfolgsaussichten einzelner KI-Unternehmen zu bewerten? (14:44)

It's EV News Briefly for Wednesday 11 March 2026, everything you need to know in less than 5 minutes if you haven't got time for the full show.Patreon supporters fund this show, get the episodes ad free, as soon as they're ready and are part of the EV News Daily Community. You can be like them by clicking here: https://www.patreon.com/EVNewsDailyMERCEDES VLE TAKES AIM AT THE PREMIUM VANMercedes is launching the all-electric VLE on its new VAN.EA platform to replace the V-Class, offering two battery options: an 80 kWh LFP unit charging at 300 kW and a 115 kWh NMC pack from CATL on an 800-volt system charging at up to 315 kW, with a WLTP range of around 700 km. The cabin offers up to 8 seats, a 31-inch 8K rear cinema screen, electric sliding doors, a centre-console fridge, and pricing from roughly €68,000 to €135,000 in Germany.GM REVIVES BOLT, THEN SETS AN END DATEGM has brought back the Chevrolet Bolt for 2027 as the cheapest EV in the US at $28,995, featuring a 65 kWh LFP battery, 210 hp, 262 miles of EPA range, and 150 kW NACS fast charging with a 10–80% time of 25 minutes. However, GM plans only one model year of production, as ending Bolt output frees its Kansas City plant to shift Equinox assembly from Mexico to the US.PORSCHE ADDS CAYENNE S ELECTRICPorsche has added the 2026 Cayenne S Electric at $128,650, slotting between the 435 hp base model and the 1,139 hp Turbo with 536 hp standard and 657 hp on launch control, hitting 0–60 mph in 3.6 seconds. It shares the range's 108 kWh battery and 400 kW peak DC charging, reaching 10–80% in under 16 minutes, and borrows the Turbo's direct oil-cooling system for improved thermal resilience.ELLI CONNECTS FIRST GRID BATTERY IN SALZGITTERVolkswagen's energy subsidiary Elli has connected its first large-scale battery storage system—a 20 MW / 40 MWh PowerCentre across 13 containers—to the grid in Salzgitter, Germany. The system uses cells from VW's PowerCo plant, trades energy on the European Power Exchange, and is designed to stabilise grids and support renewable energy integration.GENESIS GV90 SPOTTED CHARGING AT SUPERCHARGERA camouflaged Genesis GV90 has been photographed charging at a Tesla Supercharger in Mesquite, Nevada, confirming the model will feature a standard NACS port as Genesis rolls out NACS across all new US-market EVs from 2026 onward. The GV90 is expected to ride on Hyundai's new eM platform, which promises 50% more range than the current E-GMP architecture, with higher trims set to feature coach doors and panoramic displays.SLATE AUTO CHANGES CEO BEFORE TRUCK LAUNCHSlate Auto has replaced founder and CEO Christine Barman with Peter Faricy, a former Amazon VP and Ford executive, less than a year before the planned launch of its low-cost electric truck. Barman, the company's first hire and one of only two women leading a US automaker, moves to the role of president of vehicles at the Jeff Bezos-backed startup.DACIA READIES SECOND SMALL ELECTRIC CARDacia is preparing a second small EV to sit alongside the Spring, developed in under 16 months and targeted at under €18,000, built on Renault's AmpR Small platform that also underpins the Renault 5. The unnamed model is part of Dacia's plan to launch four new EVs by 2030, with design direction hinted at by the Dacia Hipster concept unveiled in October 2024.IVECO PUTS WIRELESS ROAD CHARGING INTO TRAFFICIveco has launched a real-world dynamic wireless power transfer (DWPT) trial on the A35 Brebemi motorway in northern Italy, using a production eDaily van fitted with inductive charging hardware that can charge both while stationary and while driving over embedded road sections. The project moves DWPT beyond lab testing into live traffic conditions, though it remains a technology demonstration rather than a commercial rollout due to the large infrastructure investment required for wide deployment.BYD, CHERY AND GEELY EYE CANADABYD, Chery, and Geely are preparing to enter the Canadian market by end of 2026 following a January trade reset between Canada and China, under which Canada agreed to allow 49,000 China-made EVs at the most-favoured nation tariff rate in exchange for lower Chinese tariffs on Canadian agricultural goods. Up to 15 additional Chinese brands could follow, though homologation remains the key bottleneck, with Tesla, Volvo, and Polestar best positioned to move quickly under the quota as they already have certified vehicles and established retail networks in Canada.

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

This week, Bracha and Jackie discuss the impact of AI on daily life, Purim reflections, and a hack to get your kids to move faster. The girls get into Beis HaMikdash jobs, working with your spouse and a hilarious Tiktok Live story.___________________________________________________________________________________________SUCH A GOOD SUBMISSION (Anonymous Topic Requests, Advice, Simchas, Feedback):https://forms.gle/KuyA4B1JobZxS4KR7 SAGC NEWSLETTER SIGN UP

SlapperCast Episode 368: "High Hygiene" This one was recorded right after playing a gig at the American Legion Post 107 in Phoenix. We look back on one of the more memorable stops of the Arizona run — getting made honorary American Legion members, dealing with some awful coffee, trading hitchhiking stories, and heading down the road to Tombstone for the next leg of the tour. Show dates Blaggards.com Facebook Bandsintown Follow us on social media YouTube Facebook Twitter Instagram Become a Patron Join Blaggards on Patreon for bonus podcast content, live tracks, rough mixes, and other exclusives. Rate us Rate and review SlapperCast on iTunes Questions? If you have questions for a future Q&A episode, leave a comment on Patreon, or tweet them to us with the hashtag #slappercast.

Episode 22: Scott and Michael are back in the Rennstreet Podcast Studio! Michael shares a bittersweet story about his Cayenne Turbo S and gets a new set of wheels...actually 2! Scott's 996 Turbo is finally back...or is it? They talk about instructing at the track. There's a full plate of Porsche News. Porsche flirts with History at Daytona and what does Crowd Strike CEO have to do with Rennstreet? Listen to this fun filled episode with Scott and Michael and find out!   Thank you to all of our listeners, we appreciate each and every one of you. We do this for fun and appreciate you joining us. Please follow us on Apple Podcast, Spotify, Amazon Music, I Heart Radio, Podbean or wherever you listen to podcasts.   Rennstreet Podcast Instagram: @rennstreetpodcast Tik Tok: @rennstreetpodcast   Scott Kelly @scottkelly911tt   Michael Kriskovic @the.targa.chronicles   Please visit these important Sponsors and Contributors websites and Instagram pages. Without them episode 22 would not be possible:   House Automotive www.houseautogroup.com @houseautomotive   CP-Carrillo www.cp-carrillo.com @cpcarrillo_   Paulaner Sunset Soft Drinks www.paulaner-sunset.com @paulaner.sunset   Portola Paints www.portolapaints.com @portolapaints   Meisterwerk Racing Wheels www.meisterwerkracing.com @meisterwerkracing   Robert Combs, KHW Racing www.keephotwheelin.com @keephotwheelin_   Onyx Auto Detailing www.onyx-detail.com @onyxauto_detailing   Castle Body Shop www.castlebodyshop.com @castlebodyshop

The "human embodiment of controlled chaos" has officially landed in Silicon Valley. In this episode, we break down the shockwaves sent through the football world as German international Timo Werner swaps RB Leipzig for the San Jose Earthquakes. From his Champions League-winning pedigree to his instant impact on the pitch, we explore how "Turbo Timo" is redefining the American dream for players in their prime. Whether you're a Quakes fanatic or a general MLS observer, join us as we analyze Werner's tactical fit under Luchi Gonzalez and discuss why this blockbuster move signals a brand-new era for soccer in the Bay Area.Timo Werner transfer news, San Jose Earthquakes highlights, MLS 2026 season, German international soccer, RB Leipzig career goals.

Billabong Throw Ons Presents... Cop the amount of primo shit going down in surf this week! The ABB Grand Final at Burleigh promises insane waves and blood feuds deluxe! The Chang winds up in Newy and the Aussies are well placed to claim every qualifying spot left! Goat wins his own Stab in the Dark on a board that looked a 3rd at best. And Shane Dorian has recharged the rig and is ready for a second coming. All that and heaps more. Let’s fuggen go!See omnystudio.com/listener for privacy information.

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This week, Matt and Hannah talk about Hannah's recent trip to the FAT Ice Race in Big Sky, how Matt's liking driving his new Dodge Charger Scat Pack, and Hannah's new article on the 2026 Porsche 911 Turbo S Cabriolet. Be sure to follow and subscribe to Hot Pursuit! on Apple, Spotify, and anywhere else you listen.You can also send us your comments, email us at HotPursuit@Bloomberg.net. And check out Hannah's columns and stories on Bloomberg.com and the Bloomberg Business App. Go there for car reviews, events, and stories that you won't find anywhere else.See omnystudio.com/listener for privacy information.

Seguro que lo has oído muchas veces, tanto aplicado a modelos de calle como a coches de competición: "Cuanto más eficaz es un coche, más delicado se vuelve". Pero, ¿cuánta verdad científica hay detrás de esta afirmación? En el vídeo de hoy nos alejamos de la teoría árida para entrar en la técnica aplicada. Vamos a analizar por qué, en el mundo de la ingeniería automotriz, a menudo no se puede tener todo. El compromiso del ingeniero Un coche de calle es un compromiso constante: debe ser potente pero eficiente, amplio pero compacto, equipado pero económico. Sin embargo, cuando llegamos al bastidor y al comportamiento dinámico, el compromiso se vuelve crítico. Un coche "amable" es aquel que es predecible, intuitivo y, sobre todo, que perdona los errores del conductor. Por el contrario, un coche "eficaz" busca la décima de segundo, la neutralidad absoluta y el paso por curva más rápido posible, aunque eso signifique que su conducción solo esté al alcance de unos pocos elegidos. Como dijo un sabio ingeniero a un piloto en una carrera de resistencia: “¿Quieres que sea rápido o que sea amable? Elige, porque no lo puedes tener todo”. Soluciones técnicas: Cuando la eficacia sacrifica la nobleza A lo largo de la historia, diversas marcas han tomado decisiones drásticas para ganar agilidad, cambiando por completo el carácter del vehículo: Estabilizadoras y el Peugeot 205 GTi: El 1.6 era la nobleza pura, pero para el 1.9 de 130 CV, Peugeot endureció la estabilizadora trasera para mejorar la motricidad y ayudar a entrar en curva. ¿El resultado? Un coche mucho más rápido, pero con una trasera "viva" que solo manos expertas sabían domar. La batalla corta del Mazda MX-5: Con solo 2,26 metros entre ejes, el primer Miata era una oda a la agilidad. Sin embargo, esa misma característica hacía que, al perder el tren trasero, las reacciones fueran eléctricas y extremadamente rápidas. Motor central y el momento de inercia: Coches como el Toyota MR2 (AW11) buscan concentrar el peso entre los ejes para girar como una peonza. Es eficaz porque reduce la inercia polar, pero tiene una pega: no avisa. Cuando el límite de adherencia se rompe, el giro es tan violento que es difícil de recuperar. Geometrías agresivas (Hyundai Coupé de la Copa): Para corregir un coche "morrón" o cabezón por un mal reparto de pesos, los mecánicos "cabreamos" el eje trasero subiendo la suspensión y dando divergencia (ruedas apuntando hacia fuera). El coche entra en la curva solo con pensarlo, pero la estabilidad lineal desaparece. Componentes que cambian el "feeling" No todo es arquitectura; a veces son los componentes periféricos los que dictan la sentencia: Diferenciales Autoblocantes: En el Ford Focus RS Mk1, el diferencial Quaife era la clave para transmitir 215 CV al suelo, pero a cambio, la dirección cobraba vida propia, dando tirones y exigiendo un esfuerzo físico constante al conductor. Suspensión Multibrazo vs. Eje Torsional: El Seat León de la Copa usaba el eje multibrazo de las versiones 4x4. Era infinitamente más preciso, pero carecía de la comunicación del eje torsional de serie. Iba sobre raíles hasta que, de repente, dejaba de ir. El "Lag" del Turbo: El primer Porsche 911 Turbo es el ejemplo perfecto de potencia eficaz pero criminal. Entrar en apoyo y que los 300 CV llegaran de golpe un segundo después de pisar el gas requería una fe ciega y manos de cirujano. Silentblocks y Uniball: Sustituir las gomas de la suspensión por rótulas metálicas elimina cualquier retraso en las órdenes del volante. Ganas una precisión milimétrica, pero conviertes el coche en una caja de ruidos donde sientes cada rugosidad del asfalto en tus riñones. La física no entiende de sentimientos: El Gradiente de Subviraje En ingeniería existe el concepto de gradiente de subviraje. Un coche amable tiene un gradiente positivo: cuanto más rápido vas, más tiende el coche a abrir la trayectoria. Es aburrido, pero seguro porque coincide con nuestro instinto de supervivencia. Cuando buscamos la eficacia total, llevamos ese gradiente a cero (neutralidad absoluta). El problema es que la neutralidad es como equilibrar un lápiz sobre su punta: mientras está vertical es perfecto, pero en cuanto se inclina un milímetro, se cae. En un coche, ese "caerse" es un trompo inesperado. Conclusión La eficacia es una droga. Una vez que pruebas un coche que obedece al milímetro, es difícil volver atrás. Sin embargo, la amabilidad es lo que nos da la confianza para disfrutar de una carretera de montaña. Mi consejo es claro: busca el equilibrio. No "cabrees" tanto tu coche que acabes por tenerle miedo, porque el día que le tengas miedo a tu coche, habrás perdido el placer de conducir. ¿Qué prefieres tú: un coche que te perdone la vida o uno que te regale la vuelta rápida? Déjalo en los comentarios.

Seguro que lo has oído muchas veces, tanto aplicado a modelos de calle como a coches de competición: "Cuanto más eficaz es un coche, más delicado se vuelve". Pero, ¿cuánta verdad científica hay detrás de esta afirmación? En el vídeo de hoy nos alejamos de la teoría árida para entrar en la técnica aplicada. Vamos a analizar por qué, en el mundo de la ingeniería automotriz, a menudo no se puede tener todo. El compromiso del ingeniero Un coche de calle es un compromiso constante: debe ser potente pero eficiente, amplio pero compacto, equipado pero económico. Sin embargo, cuando llegamos al bastidor y al comportamiento dinámico, el compromiso se vuelve crítico. Un coche "amable" es aquel que es predecible, intuitivo y, sobre todo, que perdona los errores del conductor. Por el contrario, un coche "eficaz" busca la décima de segundo, la neutralidad absoluta y el paso por curva más rápido posible, aunque eso signifique que su conducción solo esté al alcance de unos pocos elegidos. Como dijo un sabio ingeniero a un piloto en una carrera de resistencia: “¿Quieres que sea rápido o que sea amable? Elige, porque no lo puedes tener todo”. Soluciones técnicas: Cuando la eficacia sacrifica la nobleza A lo largo de la historia, diversas marcas han tomado decisiones drásticas para ganar agilidad, cambiando por completo el carácter del vehículo: Estabilizadoras y el Peugeot 205 GTi: El 1.6 era la nobleza pura, pero para el 1.9 de 130 CV, Peugeot endureció la estabilizadora trasera para mejorar la motricidad y ayudar a entrar en curva. ¿El resultado? Un coche mucho más rápido, pero con una trasera "viva" que solo manos expertas sabían domar. La batalla corta del Mazda MX-5: Con solo 2,26 metros entre ejes, el primer Miata era una oda a la agilidad. Sin embargo, esa misma característica hacía que, al perder el tren trasero, las reacciones fueran eléctricas y extremadamente rápidas. Motor central y el momento de inercia: Coches como el Toyota MR2 (AW11) buscan concentrar el peso entre los ejes para girar como una peonza. Es eficaz porque reduce la inercia polar, pero tiene una pega: no avisa. Cuando el límite de adherencia se rompe, el giro es tan violento que es difícil de recuperar. Geometrías agresivas (Hyundai Coupé de la Copa): Para corregir un coche "morrón" o cabezón por un mal reparto de pesos, los mecánicos "cabreamos" el eje trasero subiendo la suspensión y dando divergencia (ruedas apuntando hacia fuera). El coche entra en la curva solo con pensarlo, pero la estabilidad lineal desaparece. Componentes que cambian el "feeling" No todo es arquitectura; a veces son los componentes periféricos los que dictan la sentencia: Diferenciales Autoblocantes: En el Ford Focus RS Mk1, el diferencial Quaife era la clave para transmitir 215 CV al suelo, pero a cambio, la dirección cobraba vida propia, dando tirones y exigiendo un esfuerzo físico constante al conductor. Suspensión Multibrazo vs. Eje Torsional: El Seat León de la Copa usaba el eje multibrazo de las versiones 4x4. Era infinitamente más preciso, pero carecía de la comunicación del eje torsional de serie. Iba sobre raíles hasta que, de repente, dejaba de ir. El "Lag" del Turbo: El primer Porsche 911 Turbo es el ejemplo perfecto de potencia eficaz pero criminal. Entrar en apoyo y que los 300 CV llegaran de golpe un segundo después de pisar el gas requería una fe ciega y manos de cirujano. Silentblocks y Uniball: Sustituir las gomas de la suspensión por rótulas metálicas elimina cualquier retraso en las órdenes del volante. Ganas una precisión milimétrica, pero conviertes el coche en una caja de ruidos donde sientes cada rugosidad del asfalto en tus riñones. La física no entiende de sentimientos: El Gradiente de Subviraje En ingeniería existe el concepto de gradiente de subviraje. Un coche amable tiene un gradiente positivo: cuanto más rápido vas, más tiende el coche a abrir la trayectoria. Es aburrido, pero seguro porque coincide con nuestro instinto de supervivencia. Cuando buscamos la eficacia total, llevamos ese gradiente a cero (neutralidad absoluta). El problema es que la neutralidad es como equilibrar un lápiz sobre su punta: mientras está vertical es perfecto, pero en cuanto se inclina un milímetro, se cae. En un coche, ese "caerse" es un trompo inesperado. Conclusión La eficacia es una droga. Una vez que pruebas un coche que obedece al milímetro, es difícil volver atrás. Sin embargo, la amabilidad es lo que nos da la confianza para disfrutar de una carretera de montaña. Mi consejo es claro: busca el equilibrio. No "cabrees" tanto tu coche que acabes por tenerle miedo, porque el día que le tengas miedo a tu coche, habrás perdido el placer de conducir. ¿Qué prefieres tú: un coche que te perdone la vida o uno que te regale la vuelta rápida? Déjalo en los comentarios.

Some links below may be affiliate links that help support the channel when you use them.DUPR Reset: https://bit.ly/3OYBrpfEnhanced EPP Turbo: https://bit.ly/4rcFnQWJoola Pro V: https://bit.ly/3PdO6ESVapor Power2: https://bit.ly/4kBmjKpSpartus P1: https://bit.ly/49YoS42Aireo Cyclone: https://bit.ly/4rSpZKCBabolat Jet Mach 4: https://bit.ly/4sghOrgLuzz Pro Blade: https://bit.ly/4bmw0ctCRBN Barrage: https://bit.ly/4rtjOvDChapters:0:00 - Intro0:43 - Question of the week1:20 - Chris Haworth's serve in Mesa5:39 - Ben and Anna Leigh's mixed final in Mesa8:30 - The new Babolat jet mach 415:24 - Loose edge guards on P1's & RPM update25:15 - Vapor Power2 HexGrit Update:28:58 - Nick Kyrgios paddle sighting31:34 - PPA junior and senior's are switching over to UPA-A approved paddles only45:35 - DUPR reset Reaction1:02:04 - Luzz Pro Blade1:07:32 - Enhanced EPP Turbo1:15:26 - Aireo cyclone1:21:07 - CRBN TruFoam Barrage1:36:15 - Joola ProV thoughts so far1:47:31 - Does height in pickleball really matter as much as people say for doubles?

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Olaf Achilles ist ein Urgestein der Industrievertretung – aber keines, das Moos ansetzt. Mit fast vier Jahrzehnten Erfahrung (vom Bosch-Ingenieur zur Übernahme der väterlichen Firma) hat er alles erlebt: Existenzbedrohende Krisen, den Verlust der Hauptvertretung über Nacht und schwierige Partnerschaften. Doch statt den Auslaufmodus einzuschalten, drückt Olaf jetzt den digitalen Turbo. In dieser Folge erzählt er, warum er sich mit über 60 noch in eine AI-Masterclass stürzt, wie er mit „Hutgröße 61“ Wissen aufsaugt und warum Gelassenheit seine schärfste Waffe gegen cholerische Kunden ist. Ein Talk voller Lebenserfahrung, Resilienz und echter Aufbruchsstimmung.

Geschätzte Lesedauer: 9 Minuten Hallo und herzlich willkommen! Hier ist euer Host Christopher Funk. Schön, dass du dir heute wieder die Zeit nimmst. Konkret Zeit, um an deinem Vertrieb zu arbeiten und nicht nur im Vertrieb. Wenn du aktuell merkst, dass deine alte B2B Vertriebsstrategie nicht mehr richtig zieht, dann bist du hier genau richtig. Zunächst lass mich direkt mit einer echten Story aus meiner letzten Woche starten. Ich saß bei einem Chef eines richtig starken Maschinenbauers. Es ist ein tolles Unternehmen mit super Produkten. Zudem ist die Firma extrem innovativ. Dennoch saß der Chef mir gegenüber, schüttelte den Kopf und sagte: "Christopher, mein Außendienst dreht langsam völlig durch." Warum passiert das? Früher fuhr der Verkäufer zum Leiter der Produktion. Zuerst trank man Kaffee. Anschließend besprach man die Details der neuen Anlage. Schließlich machte der Verkäufer einen guten Preis. Und der Deal war durch. Heute ist das allerdings alles ganz anders. Wie bringst du dein Team mit einer modernen B2B Vertriebsstrategie daher wieder auf die Erfolgsspur? Genau das schauen wir uns heute sehr genau an. Die neue Realität für deine B2B Vertriebsstrategie Wenn wir heute über messbaren Erfolg im Verkauf sprechen, müssen wir zunächst ehrlich sein. Das Spielfeld hat sich nämlich radikal verändert. Die alten Zeiten sind definitiv vorbei. Folglich muss sich auch dein Ansatz anpassen. Warum der Verkauf heute so viel schwerer ist Heute sitzen in den Terminen plötzlich Leute, die früher nie dabei waren. Zum Beispiel ist der CFO da. Zusätzlich spricht der IT-Leiter mit, weil die Anlage in das Netz der Firma passen muss. Ein Chefeinkäufer redet ebenso ein Wörtchen mit. Und dann gibt es oft noch einen Projektmanager aus Italien. Plötzlich wollen also alle mitreden. Dadurch zieht sich der Weg zum Kauf wie Kaugummi. Deine Verkäufer wissen deshalb oft gar nicht mehr, an welcher Front sie eigentlich kämpfen sollen. Und weißt du was? Du bist damit natürlich nicht allein. Die B2B-Welt ist schlichtweg brutal komplex geworden. Das Buying Center: Über 5 Entscheider am Tisch Das sogenannte Buying Center ist mittlerweile riesig. Eine Analyse zeigt beispielsweise: Im Schnitt sind heute 5,4 Leute an der Entscheidung für eine neue Lösung beteiligt. Überleg mal, was das konkret für deine Verkäufer bedeutet. Aktuelle Studien von Gartner sagen hierzu, dass 72 Prozent der Verkäufer völlig überfordert sind. Die Menge an Skills, die heute von ihnen verlangt werden, ist einfach enorm. Jeder Zweite kapituliert fast vor der Masse an neuen Tools. Wenn dein Team also stagniert, liegt das nicht daran, dass sie das Verkaufen plötzlich verlernt haben. Vielmehr hat sich die Welt um sie herum einfach rasant gedreht. Die DNA der Top-Performer: Eine neue Sichtweise Genau deshalb sezieren wir heute die DNA der Top-Verkäufer. Was machen die besten Leute heute eigentlich anders? Sie haben vor allem eine glasklare B2B Vertriebsstrategie, die auf drei Säulen aufbaut. Warum alte Tricks heute nicht mehr wirken Es reicht heute einfach nicht mehr, stumpf die reinen Daten einer Maschine zu nennen. Die Kunden kennen diese Fakten meistens schon aus dem Internet. Wer heute lediglich Features aufzählt, verliert. Der Kunde nickt zwar freundlich, kauft aber am Ende bei der Konkurrenz. Die drei Säulen für deinen echten Verkaufserfolg Gartner hat kürzlich über 3.500 B2B-Verkäufer genau analysiert. Und zwar über alle Branchen und Länder hinweg. Dabei kamen schließlich drei ganz konkrete Kernkompetenzen heraus. Verkäufer, die diese drei Säulen in ihre B2B Vertriebsstrategie einbauen, übertreffen ihre Ziele damit mit einer bis zu vierfach höheren Chance. Das ist übrigens keine reine Theorie, sondern das sind echte, belegte Zahlen. Säule 1: Mentalizing – Das Upgrade für dein Team Die erste Kernkompetenz nennt sich Mentalizing. Das klingt vielleicht wie aus einem Studium der Psychologie. Ist es aber nicht. Es ist vielmehr ein zutiefst menschliches Basic im Vertrieb. Nur eben auf einem völlig neuen Level. Die wahren Wünsche des Kunden richtig lesen Mentalizing ist grundsätzlich die Fähigkeit, echte Motive und Einwände der Käufer zu finden. Du musst dafür tief hinter die Fassade blicken. Technik spielt hier überhaupt keine Rolle. Es geht rein um den Menschen. Vier konkrete Skills für besseres Mentalizing Gartner teilt dieses Mentalizing daher in vier konkrete Skills, die du deinem Team beibringen musst. Aktives Zuhören als absolute Basis Das ist wirklich absolut wichtig. Aktives Zuhören ist nämlich eine Technik, die man lernen kann. Es geht nicht darum, auf den eigenen Text zu warten. Es geht vielmehr darum, dem Käufer voll und ganz zu folgen. Der direkte Wechsel der Perspektive Deine Leute müssen sich zudem wirklich in die Lage des Käufers versetzen. Wie sieht die Welt eigentlich aus seiner Sicht aus? Welche Probleme plagen ihn täglich? Echte Empathie im harten Verkaufsgespräch Verstehe außerdem, wie sich der Kunde auf seiner schweren Reise zum Kauf fühlt. Empathie bedeutet dabei, diese tiefe Unsicherheit und den Druck des Kunden zu erkennen und aufzufangen. Infos sammeln und richtig nutzen Hier führst du letztendlich alle Infos zusammen. Lass uns das kurz konkret machen: Ein Leiter der Produktion fragt plötzlich aggressiv nach Zyklen für die Wartung. Ein normaler Verkäufer rattert jetzt das PDF runter. Ein Verkäufer, der Mentalizing beherrscht, hört hingegen die echte Angst in der Stimme. Er versteht sofort: Der Leiter hat massiven Druck vom Chef, weil die alte Anlage letzte Woche ausfiel. Seine wahre Motivation ist somit pure Sicherheit für seinen Job. Wer das lesen kann, erreicht seine Ziele folglich dreimal häufiger! Säule 2: Taktische Flexibilität im Verkaufsalltag Kommen wir nun zur zweiten Säule für deine B2B Vertriebsstrategie. Wir im Vertrieb lieben bekanntlich klare Prozesse. Ich baue selbst oft Playbooks mit einfachen Checklisten. Das ist auch gut so. Warum starre Playbooks heute viele Deals kosten Dennoch gilt: Wenn der Verkäufer beim Kunden sitzt und nur stur seinen Faden abarbeitet, fährt er den Deal meist gegen die Wand. Ein gutes Beispiel hierfür: Dein Key Account Manager zeigt gerade das neue System für die Steuerung. Plötzlich kommen der CFO und der Chef dazu. Der Chef fragt direkt nach Sicherheit bei der Lieferung und nach flexiblen Modellen für das Geld. Ein starrer Verkäufer fängt daraufhin sofort an zu schwitzen. Er blättert verzweifelt zu Folie 28. Damit ist das Gespräch leider tot. Lernagilität und clevere Anpassung an die Lage Taktische Flexibilität besteht daher aus Lernagilität und Vielseitigkeit. Ein agiler Verkäufer macht den Laptop einfach zu. Er wechselt in Echtzeit seine Strategie. Er holt die neuen Entscheider genau da ab, wo sie gerade stehen. Verkäufer, die diese schnelle Agilität zeigen, knacken ihre Ziele dadurch 3,4 Mal leichter. Du musst nämlich switchen können: Mal klassischer Verkauf, mal Challenger Sale, mal tiefes Spin-Selling. Säule 3: Künstliche Intelligenz als dein Sales-Partner Die dritte Säule ist schließlich der absolute Turbo. Es geht um die echte KI-Partnerschaft. Oft höre ich allerdings von Leitern im Vertrieb: "Meine Leute sollen beim Kunden sein und Vertrauen aufbauen. Die sollen nicht am Computer spielen." Dieser Impuls ist zwar logisch, aber extrem fatal. Wie Top-Verkäufer richtig KI im Vertrieb nutzen Technik ist heute absolut kein Extra mehr. Sie ist vielmehr eine klare Pflicht. Top-Verkäufer wollen heute ganz gezielt KI im Vertrieb nutzen. Und zwar nicht als dummes Tool. Sie nutzen es stattdessen als echten Kollegen im Team. Perfekte Vorbereitung in nur 3 schnellen Minuten Das Zauberwort heißt hierbei Prompt Engineering. Normale Verkäufer verbringen oft viele Stunden mit der Suche für einen Pitch. High-Performance-Verkäufer gehen hingegen zu ihrem KI-Partner (wie Perplexity oder ChatGPT) und geben einen klaren Befehl ein. Sie definieren zuerst eine Persona, geben den Kontext und fordern dann genaue Aufgaben. Das Ergebnis? Eine perfekte, passgenaue Vorbereitung mit smarten Ideen für das Gespräch. Und das in drei Minuten anstatt in drei Stunden. Der Kunde wird danach sagen: "Schön, dass Sie sich so extrem gut vorbereitet haben. Das spart uns viel Zeit." Transkribieren als extremer Turbo für deinen Umsatz Verkäufer mit starker KI-Kompetenz erreichen ihre Ziele sogar 3,7 Mal häufiger. Die KI-Kompetenz schlägt damit sogar das Mentalizing und die Flexibilität. Denk außerdem an das Transkribieren von Gesprächen. Es spart enorm viel Zeit bei der Arbeit danach. Du hast somit mehr Zeit für den Kunden. Wer KI als Partner erkennt und strategisch KI im Vertrieb nutzen kann, hat schließlich einen riesigen Vorteil. Ein Vorteil, der im deutschen Mittelstand leider noch viel zu selten genutzt wird. So verankerst du die neuen Skills fest im Team Jetzt kommt jedoch der entscheidende Punkt für dich als Chef. Wie bekommst du diese neue B2B Vertriebsstrategie eigentlich auf die Straße? Warum Gießkannen-Trainings heute gar nichts bringen Das alte Prinzip der Gießkanne funktioniert einfach nicht mehr. Du schickst dein Team beispielsweise für zwei Tage in ein teures Hotel. Dort werden ihnen Folien um die Ohren geknallt. Und am Montag hoffst du dann auf ein Wunder. Wir alle wissen: Das klappt niemals. Die Verkäufer wehren sich nämlich massiv gegen solche Crash-Kurse. Lernen direkt am Arbeitsplatz klug etablieren Was stattdessen hervorragend funktioniert, ist Just-in-Time-Learning. Das bedeutet, du gibst immer wieder kleine "Nudges" (Anstupser) direkt im Alltag. Du webst das Lernen also fest in den echten Alltag des Vertriebs ein. Und zwar genau dann, wenn die Skills gebraucht werden. Firmen, die das tun, haben eine extrem höhere Chance, ihre Ziele zu übertreffen. Das wirklich geniale Praxis-Beispiel von Salesforce Salesforce hat das wirklich genial in der Praxis umgesetzt. Sie haben nicht nur einfache Videos für das Training hochgeladen. Sie haben vielmehr ständige Tests genutzt, um genau zu sehen, wo es bei welchem Verkäufer hakt. Der wichtigste Karriere-Hebel für dein Team Und der größte Hebel dabei: Sie haben die neuen Skills direkt mit dem Geld und der Karriere fest verknüpft. Wenn du zum Beispiel Senior Account Manager werden willst, musst du nicht nur deine Zahlen bringen. Du musst ebenso klare Lernziele erreichen. Wenn die Leute endlich verstehen, dass sie sich geistig weiterentwickeln müssen, um auf die nächste Stufe zu kommen, bist du plötzlich auf einem ganz anderen Level. Fazit: Dein Weg zum High-Performing Sales-Team Wir haben heute klar gesehen, wie extrem wichtig es ist, diese drei Kompetenzen zu pushen. Nutze diese Ideen unbedingt für deine B2B Vertriebsstrategie. Mach dein Team außerdem flexibel. Integriere zudem KI aktiv in euren Alltag. Quick Takeaways für deinen schnellen Erfolg Der Prozess für den Kauf ist heute komplexer denn je (über 5 Leute im Schnitt). Eine solide B2B Vertriebsstrategie braucht zwingend starkes Mentalizing, um echte Motive zu finden. Starre Playbooks sind mittlerweile tot. Du brauchst daher echte Flexibilität. Top-Verkäufer, die bereits erfolgreich KI im Vertrieb nutzen, bereiten sich in Rekordzeit vor. Verzichte bitte auf alte Seminare. Setze stattdessen auf Lernen direkt im Alltag. Verknüpfe die Entwicklung von neuen Skills außerdem direkt mit eurer Karriereplanung. Hole dir schließlich externe Hilfe, wenn du im Tagesgeschäft ertrinkst. Wenn du dein Team von reinen "Feature-Tellern" zu echten High-Performern umbauen willst, dann mach das nicht allein. Es gibt nämlich Experten, die dir dabei optimal helfen. Lass uns zusammen besser werden. Besser als gestern. Die Chancen sind da. Nutze sie jetzt! Gib wie immer alles, bis zum nächsten Mal, dein Christopher Funk.

This one starts with a long ramble on a weird phenomenon: what happens when people hit a certain level of wealth, power, or fame, and suddenly seem to go… off the rails. We kick around examples from music, comedy, and business, talk about “guardrails” (or the lack of them), and dig into how success can amplify whatever's already under the hood. Then the convo swerves into stand-up comedy heroes, the craft of writing jokes, and why live music and small venues feel more important than ever. Show dates Blaggards.com Facebook Bandsintown Follow us on social media YouTube Facebook Twitter Instagram Become a Patron Join Blaggards on Patreon for bonus podcast content, live tracks, rough mixes, and other exclusives. Rate us Rate and review SlapperCast on iTunes Questions? If you have questions for a future Q&A episode, leave a comment on Patreon, or tweet them to us with the hashtag #slappercast.

This week on the Time Blaster Toy Cast, we're blasting back to 1990 something and talking NINTENDO 64! The TURBO WHEEL is back and with her she's bringing 9 different video games for us to discuss! So grab your controller & get ready, cause we're getting our N64 GAME ON and it starts...right after this break!  The Time Blaster Toy Cast is a nostalgic podcast about growing up in the 1980's & 1990's, with a specific focus on action figures, video games, junk food and retro geek stuff. Hosts Keith, Joe & Dave are your weekly tour guides as we travel back in time... when toys were cooler, movies were funnier, times were simpler & life in general was just MORE RAD! Got a question, comment or idea for our show? Want to share a story of your own with us? The Time Blaster Toyline is open 24/7! Leave us a message or shoot over a text message at 734-494-2292 Follow us on Instagram:  @timeblastertoys @retrojoeknows @mathew_priest

​​1. TO SUPPORT this Orthodox Christian ministry and the digitisation of our many cassette-tapes for new podcasts, please visit us at the BUY ME A COFFEE support platform: ​​ http://buymeacoffee.com/octeaching2. TO FIND THE TITLES AND LINKS for all our podcasts, please visit our podcast directory. Just search for ‘Orthodox Christian Teaching Podcast Directory' in the Apple Podcasts app or in the podcasts section of the Spotify app OR search for ‘Orthodox Christian Teaching' in the Apple Podcasts app or the Spotify app,3. DIRECT LINKS to the ORTHODOX CHRISTIAN TEACHING PODCAST DIRECTORY:​On the APPLE PODCASTS app:https://podcasts.apple.com/gb/podcast/orthodox-christian-teaching-podcast-directory/id1680765527On the SPOTIFY app:https://open.spotify.com/show/1ALQ9YkJ0hhZ20GGZv7MH9?si=hVv_aqKtSrypyTLr1YZQIQ

​1. TO SUPPORT this Orthodox Christian ministry and the digitisation of our many cassette-tapes for new podcasts, please visit us at the BUY ME A COFFEE support platform: ​​ http://buymeacoffee.com/octeaching2. TO FIND THE TITLES AND LINKS for all our podcasts, please visit our podcast directory. Just search for ‘Orthodox Christian Teaching Podcast Directory' in the Apple Podcasts app or in the podcasts section of the Spotify app OR search for ‘Orthodox Christian Teaching' in the Apple Podcasts app or the Spotify app,3. DIRECT LINKS to the ORTHODOX CHRISTIAN TEACHING PODCAST DIRECTORY:​On the APPLE PODCASTS app:https://podcasts.apple.com/gb/podcast/orthodox-christian-teaching-podcast-directory/id1680765527On the SPOTIFY app:https://open.spotify.com/show/1ALQ9YkJ0hhZ20GGZv7MH9?si=hVv_aqKtSrypyTLr1YZQIQ

​​1. TO SUPPORT this Orthodox Christian ministry and the digitisation of our many cassette-tapes for new podcasts, please visit us at the BUY ME A COFFEE support platform: ​​ http://buymeacoffee.com/octeaching2. TO FIND THE TITLES AND LINKS for all our podcasts, please visit our podcast directory. Just search for ‘Orthodox Christian Teaching Podcast Directory' in the Apple Podcasts app or in the podcasts section of the Spotify app OR search for ‘Orthodox Christian Teaching' in the Apple Podcasts app or the Spotify app,3. DIRECT LINKS to the ORTHODOX CHRISTIAN TEACHING PODCAST DIRECTORY:​On the APPLE PODCASTS app:https://podcasts.apple.com/gb/podcast/orthodox-christian-teaching-podcast-directory/id1680765527On the SPOTIFY app:https://open.spotify.com/show/1ALQ9YkJ0hhZ20GGZv7MH9?si=hVv_aqKtSrypyTLr1YZQIQ

​1. TO SUPPORT this Orthodox Christian ministry and the digitisation of our many cassette-tapes for new podcasts, please visit us at the BUY ME A COFFEE support platform: ​​ http://buymeacoffee.com/octeaching2. TO FIND THE TITLES AND LINKS for all our podcasts, please visit our podcast directory. Just search for ‘Orthodox Christian Teaching Podcast Directory' in the Apple Podcasts app or in the podcasts section of the Spotify app OR search for ‘Orthodox Christian Teaching' in the Apple Podcasts app or the Spotify app,3. DIRECT LINKS to the ORTHODOX CHRISTIAN TEACHING PODCAST DIRECTORY:​On the APPLE PODCASTS app:https://podcasts.apple.com/gb/podcast/orthodox-christian-teaching-podcast-directory/id1680765527On the SPOTIFY app:https://open.spotify.com/show/1ALQ9YkJ0hhZ20GGZv7MH9?si=hVv_aqKtSrypyTLr1YZQIQ

Apologies to our listeners using Apple Podcasts - an upload snafu caused you to get a repeat of last week's episode. Here's this week's One Year!It's malaise time—or is it? This week, Alex, Cam, Tyler, and Beck choose their top five vehicles from the model year 1980 in an impromptu, nearly unprepped episode. Spoiler alert: you've heard Tyler talk about bikes, but it's a widely known "secret" around the halls of BaT that his taste in cars is...well, weird. The crew talk about their surprisingly fun research, skin-deep beauty, and the wide variety of cultural ways in which 1980 was a transitional periodThey also narrowly avoid a prolonged version of the usual "what is a supercar" debate; slightly cheat with Euro cars; spend a surprising amount of time on the Dodge Ramcharger and Plymouth Trail Duster; stump Alex (again) but allow him out of perpetual loserhood; talk about the various trips one might take in a Vanagon; discovered all sorts of eagles glee; recount a worse "learning to drive stick" story than most of you have, thankfully; and take an unexpected but welcome diversion into the land (sea?) of Boston Whaler center consoles.Mentioned in this episode:8:42  ⁠Ex-Steve McQueen 1952 Chevrolet 3800 Pickup with Camper and Husqvarna CR250⁠9:45  ⁠Ex-Steve McQueen bikes⁠ on BaT17:42  ⁠1980 BMW M1⁠21:33  ⁠1980 Honda CBX Super Sport⁠ and   ⁠29-Years-Owned 1980 Honda CBX Super Sport⁠23:36  ⁠Euro 1980 Porsche 930 Turbo⁠26:34 ⁠1980 Ferrari 512 BB⁠28:34 ⁠1980 Ferrari 308 GTBi⁠30:04  ⁠1980 Plymouth Trail Duster⁠31:56 ⁠1978 Dodge Ramcharger Top Hand 4×4⁠32:31  ⁠Dodge Ramcharger / Plymouth Trail Duster⁠ model page34:04  ⁠Ex-CHP 1982 Dodge Ramcharger 4×4⁠35:07  ⁠One-Family-Owned 1980 Volkswagen Scirocco S 5-Speed⁠38:50 ⁠Single-Family-Owned 1980 Porsche 911SC Coupe Weissach⁠43:05  ⁠Euro 1980 Mercedes-Benz 450SEL 6.9⁠45:00  ⁠1980 Cadillac Seville⁠52:31  ⁠1979 Ford Pinto Wagon 4-Speed⁠52:47  ⁠Time Machine: A Success Story in Motion from BaT and Pennzoil⁠53:38  ⁠1980 Ford Pinto Rallye Pack Wagon 4-Speed⁠56:01  ⁠1980 AMC Eagle 2-Door Sedan⁠58:03  ⁠1979 Jeep CJ-7 Golden Eagle 4-Speed⁠1:01:12  ⁠1980 GL 4WD - US Ski Team Wagon⁠1:04:07  ⁠1980 Mercedes-Benz 280GE Cabriolet 4-Speed⁠1:06:44 ⁠8k-Mile 1980 Ford Mustang McLaren M-81⁠1:10:03  ⁠1984 Zimmer Golden Spirit Classic⁠1:12:23  ⁠Single-Family-Owned 1986 Boston Whaler Montauk 17′ Project⁠1:14:28  ⁠Porsche 935 K3⁠1:21:20  ⁠V8-Powered 1980 Alfa Romeo Alfetta GTV 5-Speed⁠1:24:38 ⁠1980 Toyota Celica RA45 GT2000 Rally⁠Got suggestions for our next guest from the BaT community, One Year Garage episode, or (B)aT the Movies subject? Let us know in the comments below!

Thanks for listening. If you like what you hear, go support us on Patreon, and rate and review the podcast on Apple, Spotify, or wherever you listen.

Stijn Schmitz welcomes the return of the Market Sniper himself Francis Hunt to the show. Francis is a Renegade Trader, Analyst, and the Founder of The Market Sniper. Hunt discusses the ongoing precious metals bull market, emphasizing that the current market is in the early stages of a significant economic transformation. He argues that the world is experiencing a fundamental shift away from fiat currency and towards sound money principles, with gold and silver positioned as critical assets for capital preservation. The discussion centers on the broader economic context of a debt and fiat bubble that is gradually collapsing. Hunt suggests that we are witnessing a long-term process of monetary debasement that began with the establishment of the Federal Reserve in 1913. He believes the current economic environment is characterized by systemic fraud and manipulation, with central banks and governments actively working to obscure the true economic reality. Hunt is particularly bullish on gold and silver, projecting significant price increases in the coming years. He anticipates a potential gold-silver ratio reaching single digits, which would represent a dramatic shift from current levels. Moreover, he warns about the dangers of digital currencies and tokenization, viewing these as attempts to strip individuals of financial privacy and asset ownership. Francis is critical of traditional investment assets like stocks and cryptocurrencies, arguing that they are fundamentally underperforming when measured against gold. He sees gold as the ultimate benchmark for preserving wealth during this period of economic transformation. Hunt also discusses potential opportunities in mining stocks, particularly silver miners, while cautioning about jurisdiction-specific risks. He recommends a diversified approach that includes physical precious metals, strategic mining investments, and potential options strategies. Ultimately, Hunt’s message is one of preparation and strategic positioning. He encourages investors to focus on capital preservation, understand the broader economic trends, and be prepared for significant market disruptions in the coming years. Timestamps: 00:00:00 – Introduction 00:00:46 – Bull Market Confirmation 00:01:29 – Recent Gold Correction 00:08:19 – Technical Volatility Analysis 00:13:43 – Cross Currency Insights 00:20:45 – Fiat Debt Bubble 00:22:08 – Bitcoin Digitization Critique 00:27:30 – Silver Market Targets 00:28:24 – Nasdaq vs Gold Rebasement 00:37:04 – Timeline and Speed 00:42:36 – Miners Leverage Opportunities 00:48:56 – Concluding Thoughts Guest Links: X: https://x.com/themarketsniper X: https://x.com/thecryptosniper Website: https://themarketsniper.com YouTube: https://www.youtube.com/user/TheMarketSniper Francis is a trader, first and foremost. Unlike most educators in the trading space, Francis walks the walk and talks the talk, with 30 years of experience trading his personal capital on various markets and instruments. Through this passion for trading and his relentless study of markets and economic theory, he uses the Hunt Volatility Funnel trading methodology, a systemized approach, to answer the critical question: What is the next most profitable trade? He believes the actual price of an asset is the most accurate reflection of all the factors that influence it. Practical technical analysis, the study of price action over time, is needed to formulate profitable trade ideas. Indeed, with all the market manipulation and high-frequency trading operations currently in play, technical analysis is all that can be relied upon when it comes to formulating future price trends. A trained eye can often spot such manipulative practices, as is the case with HVF traders. Therefore, the HVF methodology is based purely on technical analysis. Francis is passionate about sharing his knowledge and understanding of markets by utilizing his HVF trading methodology. With entertaining anecdotes and the careful guidance of his students, he has already trained a large community of hundreds of traders and helped them transform from complete newbies to seasoned trading professionals. He genuinely loves sharing his knowledge and strategies with others who are committed to finding freedom through trading. Plus, teaching strengthens his trading abilities while helping to build a vibrant community of successful traders.

On today's Ask Us Anything episode of The Therapy Crouch, Abbey, Peter and Ross dive head-first into your juiciest dilemmas – and this one gets heated.We hear from a newlywed struggling with intimacy after anxiety medication kills his wife's sex drive, sparking an honest conversation about desire, frustration and when it's time to get professional help.Then things really kick off as Abbey reacts to a listener who went through her partner's phone and found bikini pics, pub messages and lads' group chat behaviour that crosses the line. Is it just “boys' banter”… or is it borderline cheating?From trust, boundaries and when sorry just isn't enough, to iconic football songs and questionable swimming chat, this episode has everything.If you want to submit an Agony Ab to the podcast – hit the link below.https://docs.google.com/forms/d/1rAKDST4HU_8al_aWpOlys3TRJrWvDV-84piVdlOOjU4/edit00:00 – Intro, ropey voices & “bleed Therapy Crouch”01:20 – Cameras down throats & medical horror stories02:00 – Nicknames chat begins (Matalan, Motion Sensor Light, Curly Whirly)04:16 – Agony Ab 1: Newlyweds, anxiety meds & no sex06:20 – “Turbo vs handbrake” & fantasy conversation gets awkward07:40 – Why fantasising about people you know is dangerous09:12 – GP advice & “above our pay grade” moment10:14 – YNWA vs Delilah – which song hits harder?12:05 – Agony Ab 2: Went through his phone… found bikini pics13:25 – Pub messages, group chats & “men need to grow up”14:19 – “That's borderline cheating” & breaking trust15:49 – When sorry isn't enough & healing takes time16:42 – Final verdict: dump him or set hard boundaries17:00 – Hot toddy, swimming & gun show jokes18:12 – OutroTo contact us:Email: thetherapycrouch@gmail.comInstagram: https://www.instagram.com/thetherapycrouchpodcast/TikTok: https://www.tiktok.com/ @thetherapycrouchWebsite: https://thetherapycrouch.com/For more from Peterhttps://twitter.com/petercrouchFor more from Abbeyhttps://www.instagram.com/abbeyclancyOur clips channelhttps://www.youtube.com/channel/UCZntcv96YhN8IvMAKsz4Dbg Hosted on Acast. See acast.com/privacy for more information.

In 1991 Video System released what is undeniably the best three-player vertical arcade shooter that retrofits Lamborghinis into flying vehicles that fight a giant Lexus in space - and 35 years later we're talking about it. Now get your butt in the Diablo(on) as we launch Turbo Force! With its blood selling for $60k per gallon is Turbo Force's giant horseshoe crab the most valuable boss in an arcade game? Does "C" stand for "Canada," "controversy," or "curling"? Did we have the opportunity to buy a famed arcade gaming IP and miss it? Is this the ultimate 90s Trapper Keeper game come to life? We get into the Olympics spirit by - in what may be a Podouken first - all picking the same winter sport to make into an arcade game. We also broadcast our favorite arcade announcers, explore our work ethic by answering if we just hang at the arcade business we own, and what rare games we would refuse to put out for public play. Join the Podouken Discord and ask your own questions that could be included in a future episode: discord.gg/k5vf2Jz You can also like, comment, and subscribe to our YouTube channel where we post our listener question segments and additional content: https://www.youtube.com/@podoukenpodcast2716.

We're pausing on the Mandalorian rewatch to talk about the Mandalorian movie trailer(s)! We'll cover the Super Bowl spot (hmmm) and the second Official Trailer (yaaay). Is Bob more excited, or more dubious, about the return of Star Wars to the theaters? Tune in and find out!

SlapperCast Episode 366: "Don't Use Afrin" In this episode of SlapperCast, we dig into what it's actually like when a pub tries to survive (and thrive) through the biggest Irish day of the year, Texas-style. From the nonstop pressure and crowd dynamics to the behind-the-scenes decisions that can make or break the day, this one's a real look at the logistics and chaos that most people never see. And because we can't help ourselves, we also bounce into a bunch of other road-life territory, including a post-gig hang after Bullet Grill House in Point Blank, Texas, plus some tour talk and what we've got coming next. Also in this episode: • Bullet Grill House recap (Point Blank, TX) • Our upcoming Ireland tour talk

Neste episódio falamos sobre os principais temas de segurança digital e privacidade das últimas semanas, abordando assuntos que você precisa conhecer para entender o cenário atual da proteção de dados, segurança infantil online e inteligência artificial. Você vai descobrir como o Roblox e o Discord lidam com a verificação de idade e proteção de crianças na internet, incluindo os riscos de predadores digitais, mecanismos psicológicos de retenção e a ausência de controles parentais eficazes. Também abordamos o polêmico caso do Grok no X (antigo Twitter) gerando imagens de nudez de mulheres e menores de idade sem guardrails, e as medidas tomadas pela ANPD, Ministério Público Federal e Senacon contra a plataforma. Discutimos o acordo de adequação mútua entre Brasil e União Europeia em proteção de dados pessoais e o que isso representa para transferências internacionais de dados e oportunidades comerciais. Ainda comentamos a solicitação do FBI à Microsoft pelas chaves de criptografia BitLocker, a ação judicial contra a Meta por suposto acesso às mensagens criptografadas do WhatsApp, o fenômeno das personas digitais criadas por IA, como a “Aboriginal Steve Irwin”, e os deepfakes com celebridades. Por fim, apresentamos a WhisperSafe, novo patrocinador do podcast, um software de transcrição local com privacidade em foco, usando modelos Whisper da OpenAI sem envio de dados para a nuvem. Assine o podcast para não perder nenhum episódio, deixe sua avaliação nas plataformas e siga o Segurança Legal no Instagram, Mastodon, Blue Sky, YouTube e TikTok. Apoie o projeto independente em apoia.se/segurancalegal. Esta descrição foi realizada a partir do áudio do podcast com o uso de IA, com revisão humana. Acesse WhisperSafe – Transcreva áudio e grave reuniões direto no seu computador, mesmo offline. Rápido, leve e pronto para usar com qualquer IA. Use o cupom SEGLEG50 para 50% de desconto na sua assinatura. ShowNotes Grupo 1 – Roblox, crianças e proteção digital em plataformas de jogos ‘Estou sendo atacado por crianças’, diz Felca após ser alvo de protesto no Roblox Opinião: feito para viciar, Roblox tem lógica de cassino e vira caça-níquel para crianças Palcos no Discord serão bloqueados para adolescentes e restritos para grupos da mesma idade Hackers expose age-verification software powering surveillance web ‘O que adolescentes fizeram com cão Orelha acontece todas as noites em muitas casas do Brasil, ao vivo no Discord’, alerta juíza Vanessa Cavalieri Internal chats show how social media companies discussed teen engagement Como vão funcionar as novas regras do Discord para verificar idade no app? Grupo 2 – Grok, conteúdo sexual gerado por IA e responsabilização do X/Musk ANPD, MPF e Senacon recomendam que X impeça geração e circulação de conteúdos sexualizados indevidos por meio do Grok ANPD, MPF e Senacon determinam que X implemente de forma imediata medidas para corrigir falhas no Grok Masterful gambit: Musk attempts to monetize Grok’s wave of sexual abuse imagery Joint statement on AI-generated imagery and the protection of privacy Grupo 3 – Adequação mútua Brasil-UE em proteção de dados e multas na UE Brasil e União Europeia reconhecem adequação mútua em matéria de proteção de dados pessoais Violation de données : sanction de 5 millions d'euros à l'encontre de FRANCE TRAVAIL Violation de données : sanction de 42 millions d'euros à l'encontre des sociétés FREE MOBILE et FREE Más sanciones y de mayor importe: La AEPD sube el nivel de multas en 2025 Grupo 4 – Vigilância, privacidade e Estado The Department of Homeland Security is demanding that Google turn over information about random critics Microsoft is giving the FBI BitLocker keys US authorities reportedly investigate claims that Meta can read encrypted WhatsApp messages Grupo 5 – IA generativa e identidade ‘It’s AI blackface’: social media account hailed as the Aboriginal Steve Irwin is an AI character created in New Zealan Imagem do Episódio – Children’s Games (Bruegel)  Transcrição do Episódio (00:00:08.000 –> 00:00:17.500) Bem-vindos e bem-vindas ao Café Segurança Legal, episódio 411, gravado em 24 de fevereiro de 2026. (00:00:17.500 –> 00:00:22.920) Eu sou Guilherme Goulart e junto com o Vinícius Serafim vamos trazer para vocês algumas notícias das últimas semanas. (00:00:22.920 –> 00:00:24.440) E aí, Vinícius, tudo bem? (00:00:24.440 –> 00:00:27.940) Olá, Guilherme, tudo bem? (00:00:24.440 –> 00:00:27.940) Olá aos nossos ouvintes. (00:00:28.180 –> 00:00:30.600) Você estava com saudade de gravar ou não? (00:00:30.600 –> 00:00:39.160) Cara, eu já estava até duvidando da minha capacidade de gravar de novo, porque a gente passou quase.. (00:00:30.600 –> 00:00:39.160) Vai fechar dois.. (00:00:39.160 –> 00:00:40.820) Um mês e pouco. (00:00:40.820 –> 00:00:45.280) O último foi ali em janeiro, não foi? (00:00:45.280 –> 00:00:46.720) Foi em janeiro que a gente gravou. (00:00:46.720 –> 00:00:51.000) Agora você me pegou, você me pegou no contrapé. (00:00:51.000 –> 00:00:57.820) Mas nós gravamos o episódio 410 da Retrospectiva, que se você não ouviu, está lá no dia 6 de janeiro. (00:00:58.180 –> 00:01:02.100) De 2026. (00:00:58.180 –> 00:01:02.100) Retrospectiva 2025. (00:01:03.780 –> 00:01:07.380) Bem, então, esse é o nosso momento de conversarmos sobre algumas notícias. (00:01:07.380 –> 00:01:10.240) Pegue o seu café e venha conosco para entrar em contato. (00:01:10.240 –> 00:01:18.760) Vocês já sabem, é lá no podcast.roba.segurançalegal.com, no Mastodon, no Instagram, no Blue Sky, no YouTube e no TikTok também. (00:01:18.760 –> 00:01:24.520) Você pode ver que tanto no TikTok quanto no YouTube você consegue ver também uns shorts lá que aparecem no Instagram também. (00:01:24.900 –> 00:01:30.420) A nossa campanha de financiamento coletivo, vocês já sabem, lá no apoia.se barra segurança legal. (00:01:30.420 –> 00:01:36.940) A gente sempre pede que você considere colaborar com esse projeto independente de proteção de conteúdo. (00:01:36.940 –> 00:01:41.960) E, Vinícius, temos uma novidade que é um novo patrocinador aqui no Segurança Legal. (00:01:42.500 –> 00:01:43.520) É isso aí, Guilherme. (00:01:43.520 –> 00:01:54.360) Tem a WhisperSafe, na verdade, o produto da WhisperSafe de uma startup que nós conhecemos, inclusive o dono da startup. (00:01:54.360 –> 00:02:04.360) É um software para transcrição de voz com um valor bastante acessível comparado com outros que tem no mercado. (00:02:05.420 –> 00:02:08.640) Ele faz transcrição tanto.. (00:02:08.640 –> 00:02:13.760) Eu tenho usado muito para fazer, para mandar comandos para IA. (00:02:13.760 –> 00:02:17.060) Eu fazia prompt tudo estruturadinho, digitando e tal. (00:02:17.060 –> 00:02:26.200) Agora, para programar, para criar scripts, criar alguns programas, para fazer alguns testes, eu tenho utilizado essencialmente ele para digitar. (00:02:26.200 –> 00:02:34.080) E tem uma funcionalidade muito interessante, que é a gravação e transcrição de reuniões, que eu também tenho utilizado. (00:02:35.220 –> 00:02:40.820) Independente do software que você utiliza, você abre ele, clica gravar a reunião, ele vai gravar todo o áudio da reunião. (00:02:40.820 –> 00:02:48.280) E depois que ele grava e você aperta lá o botãozinho para transcrever, ele te dá uma.. (00:02:48.280 –> 00:02:53.000) Ele tanto gera um arquivo com a transcrição bruta, se tu quiser usar com alguma IA, (00:02:53.000 –> 00:03:04.160) Como ele já deixa na área de transferência a tua transcrição com um prompt montado para te colar na IA que tu quer utilizar para fazer um resumo da tua reunião. (00:03:04.160 –> 00:03:07.500) Então, termina a reunião, cola na IA e pimba. (00:03:07.500 –> 00:03:16.880) O valor dele é um valor bastante acessível e, para os ouvintes do Segurança Legal, nós temos 20 cupons. (00:03:17.840 –> 00:03:28.700) O cupom é SEGLEG50, ele dá 50% de desconto vitalício, digamos assim. (00:03:28.700 –> 00:03:35.360) Você faz a assinatura, aplica o desconto, se fizer mensal ele vai aplicar a todos os pagamentos mensais (00:03:35.360 –> 00:03:40.080) E, se for anual, ele vai aplicar a todos os pagamentos anuais. (00:03:40.080 –> 00:03:44.540) Então, não é um desconto que vale só no primeiro ano ou só no primeiro pagamento. (00:03:44.540 –> 00:03:48.460) SEGLEG50 para os ouvintes do Segurança Legal. (00:03:49.080 –> 00:03:55.520) São 20 cupons, são 20 cupons que a gente tem aí, pelo menos para este episódio. (00:03:55.520 –> 00:04:01.320) E o mais importante, Vinícius, ele é um aplicativo que é construído com privacidade em foco. (00:04:01.320 –> 00:04:06.820) Ou seja, se você, os dados e toda a parte de transcrição, ela fica só na sua máquina, (00:04:06.820 –> 00:04:11.020) Não vai para a nuvem, a não ser que você queira depois usar isso no MyA e tal, (00:04:11.020 –> 00:04:14.580) Mas, assim, para assuntos mais críticos. (00:04:14.580 –> 00:04:18.560) Se você quiser ter lá para fazer uma ata depois, isso fica só na sua máquina. (00:04:18.560 –> 00:04:24.280) Ele faz, ele usa os modelos da Whisper, isso está lá na interface, está muito claro. (00:04:24.280 –> 00:04:31.040) Ele usa os modelos da, os modelos Whisper da OpenAI, que são modelos que rodam local na máquina. (00:04:31.040 –> 00:04:35.460) E o interessante é que tu não precisa nem ter uma placa de vídeo, não precisa ter GPU nem nada, (00:04:35.460 –> 00:04:39.280) Ele funciona muito bem, eu testei no meu notebook, não tem placa de vídeo dedicada. (00:04:40.700 –> 00:04:45.580) E funcionou muito bem, assim, ele é bastante rápido. (00:04:45.580 –> 00:04:52.320) E eu tenho feito os testes até para ver a questão de velocidade, já que tem os modelos disponíveis lá. (00:04:52.320 –> 00:04:55.000) Eu estava usando sempre o Turbo, assim, vou usar o melhor. (00:04:55.000 –> 00:05:00.500) Aí eu resolvi começar a usar o Medium e o Small lá dos modelos. (00:05:00.500 –> 00:05:04.580) E, cara, o Small, ele dá umas erradas, assim, sabe? (00:05:04.580 –> 00:05:06.260) Mas o Medium funciona muito bem. (00:05:06.260 –> 00:05:08.060) Tá bom. (00:05:08.840 –> 00:05:15.480) Então, basta você acessar o whispersafe.ai.ai, você vai ver lá todos os valores. (00:05:15.480 –> 00:05:19.920) Na hora do pagamento, pode usar o cupom SEGLEG50 e vamos lá. (00:05:19.920 –> 00:05:24.080) Bem-vindos, então, ao novo patrocinador do podcast Segurança Legal. (00:05:24.080 –> 00:05:30.480) Vamos para os temas, então, Vinícius, desses últimos dois meses, dá para se dizer aí. (00:05:30.480 –> 00:05:32.680) Hoje já estamos aí no dia 24 de fevereiro. (00:05:32.680 –> 00:05:44.260) Bastante coisa acontecendo, mas nós vamos, em vez de comentar propriamente as notícias, claro que nós vamos citá-las aqui, mas nós dividimos em alguns grupos. (00:05:44.340 –> 00:05:49.420) De temas que nos chamaram a atenção e que também foram temas importantes aí nas últimas semanas. (00:05:49.420 –> 00:05:53.860) O primeiro deles diz respeito à questão da proteção da criança na internet. (00:05:53.860 –> 00:05:56.400) Proteção digital, sobretudo em plataformas. (00:05:56.400 –> 00:06:00.200) Você que nos acompanha aqui sabe que a questão da proteção de criança é importante. (00:06:00.200 –> 00:06:04.860) A gente tem diversos, para esse podcast, a gente tem diversos episódios gravados sobre isso. (00:06:05.100 –> 00:06:11.420) Chegamos a comentar, inclusive, um episódio mais recente também sobre o ECA Digital, Vinícius, se você puder ver o número aí para nós. (00:06:11.420 –> 00:06:24.280) E, basicamente, o que nós estamos vendo mais recentemente é toda uma questão sobre como tornar essas plataformas, os problemas envolvendo plataformas utilizadas por crianças. (00:06:24.280 –> 00:06:33.320) E cada vez mais as crianças têm usado, seja o discórdio, mas aqui o foco dessas notícias é o Roblox. (00:06:33.320 –> 00:06:38.740) Então, se você tem filho, provavelmente já ouviu falar sobre Roblox, que é um jogo. (00:06:38.740 –> 00:06:44.020) Dá para dizer que é um jogo, mas que simula quase como um ambiente, assim. (00:06:38.740 –> 00:06:44.020) Virtual. (00:06:44.020 –> 00:06:47.600) Eu cheguei a jogar ele logo que ele apareceu. (00:06:47.600 –> 00:06:52.020) Assim, não tão logo, mas os colegas do meu filho começaram a jogar. (00:06:52.020 –> 00:06:54.900) Ai, meu filho veio com essa história do Roblox. (00:06:54.900 –> 00:06:57.140) E aí, disse, não, beleza, vamos ver. (00:06:57.140 –> 00:06:58.860) Aí eu entrei com ele. (00:06:59.320 –> 00:07:02.180) Cara, é um ambiente, é um ambiente virtual. (00:07:02.180 –> 00:07:08.400) Para mim, me lembrou muito aquele Second Life, tá ligado? (00:07:08.400 –> 00:07:09.320) Sim, Second Life. (00:07:09.320 –> 00:07:11.100) Me lembrou muito aquilo, então. (00:07:11.100 –> 00:07:15.880) E aí, dentro, tu tem espaços. (00:07:15.880 –> 00:07:19.980) Que tu acessa aplicações, jogos e tudo mais. (00:07:19.980 –> 00:07:22.560) Tu pode criar, inclusive, e tal. (00:07:22.700 –> 00:07:26.080) E aí, ele tem uma moeda interna no jogo, tá? (00:07:26.080 –> 00:07:28.080) Ele tem grana envolvida. (00:07:28.080 –> 00:07:36.080) E, cara, em cinco minutos de Fussaclo ali, eu larguei para o meu filho, ó, tem jogos melhores (00:07:36.080 –> 00:07:36.640) Para te jogar. (00:07:36.640 –> 00:07:39.060) Tu não vai jogar isso aqui. (00:07:39.060 –> 00:07:44.520) Justamente porque é um ambiente, eu percebi, o que eu percebi de cara, e se confirmou depois, (00:07:44.520 –> 00:07:47.180) Um ambiente muito descontrolado, entende? (00:07:47.680 –> 00:07:56.360) Um ambiente muito descontrolado, com muita, assim, nomes estranhos de personagens, todo (00:07:56.360 –> 00:08:03.060) Mundo pode se comunicar com todo mundo, então, é um negócio bem estranho. (00:08:03.060 –> 00:08:04.880) Pelo menos, era. (00:08:04.880 –> 00:08:06.060) A percepção. (00:08:06.060 –> 00:08:06.260) Não entrei mais para jogar. (00:08:06.260 –> 00:08:11.720) Mas aí, pelo que a gente vê agora nas reações e notícias e tudo mais, pelo visto, (00:08:11.720 –> 00:08:12.580) Continua estranho. (00:08:12.580 –> 00:08:13.620) Continua estranho. (00:08:13.620 –> 00:08:18.880) O, o, a grande questão aqui é que, por fora, e isso está acontecendo no mundo (00:08:18.880 –> 00:08:20.140) Inteiro, não é só no Brasil. (00:08:20.140 –> 00:08:23.820) No Brasil, por conta do ECA Digital, mas assim, começa.. (00:08:23.820 –> 00:08:24.660) Episódio 400, viu, Guilherme? (00:08:24.660 –> 00:08:25.940) Tá, legal. (00:08:25.940 –> 00:08:26.660) Episódio 400, isso é legal. (00:08:26.660 –> 00:08:32.380) É que começa a se ampliar toda a discussão de como você fazer a verificação de idade (00:08:32.380 –> 00:08:34.120) De pessoas nessas plataformas. (00:08:34.120 –> 00:08:41.000) Então, aqui a gente junta nesse mesmo pacote o Roblox e também o Discord. (00:08:41.360 –> 00:08:43.840) E aí, uma coisa muito interessante. (00:08:43.840 –> 00:08:48.460) Que gerou, assim, até um fenômeno social, me parece que relevante. (00:08:48.460 –> 00:08:52.160) Crianças começaram a protestar lá, porque as crianças seriam os beneficiários. (00:08:52.160 –> 00:08:56.820) Mas começaram a protestar por conta das novas medidas de verificação de idade. (00:08:56.820 –> 00:08:59.280) Aí, o Felca foi alvo de protesto e tal. (00:08:59.280 –> 00:09:05.920) E tem as crianças lá, simulando um protesto, segurando cartazes lá dentro do Roblox. (00:09:07.520 –> 00:09:11.380) Saíram também notícias dizendo, e aí, mais ou menos na tua percepção, Vinícius, (00:09:11.380 –> 00:09:16.720) De que o Roblox, como acontece com grandes plataformas, ele teria uma lógica de cassino, (00:09:16.720 –> 00:09:21.860) Ou seja, as crianças ficariam ali, utilizariam gatilhos psicológicos, (00:09:21.860 –> 00:09:26.860) Como já ocorre em redes sociais, para que as crianças ficassem mais tempo lá dentro. (00:09:26.860 –> 00:09:33.160) E aí, também começou a se ventilar de que predadores sexuais estariam dentro do Roblox, (00:09:33.160 –> 00:09:36.760) Se fazendo passar por crianças. (00:09:33.160 –> 00:09:36.760) Disfarçados aí. (00:09:36.760 –> 00:09:40.700) Nos Estados Unidos, isso é um problema bem sério lá, justamente com isso. (00:09:40.700 –> 00:09:52.020) E teve o CEO do Roblox, ele teve lá no episódio do The Hard Fork. (00:09:53.020 –> 00:09:59.060) Eu já vejo o número de episódios aqui, mas o nome do CEO é Dave Bazzucchi, tá? (00:09:59.060 –> 00:10:06.020) E, cara, o pessoal do The Hard Fork tentou, assim, impressionou, foi uma coisa que ficou até tenso, sabe? (00:10:06.020 –> 00:10:08.940) Não é normal, assim, tu ver esse episódio do The Hard Fork desse jeito. (00:10:08.940 –> 00:10:14.100) E o cara sempre saindo pela tangente, assim, e perguntas bem diretas. (00:10:14.460 –> 00:10:21.300) Em termos de controle de comunicação, a questão de deixar adultos falar com crianças, assim, várias coisas. (00:10:21.300 –> 00:10:23.420) E ele sempre dando evasiva. (00:10:23.420 –> 00:10:26.320) Ele não.. (00:10:23.420 –> 00:10:26.320) Assim, foi muito ruim, sabe? (00:10:26.320 –> 00:10:32.020) A impressão que tu tens é que o cara foi ali para tentar se justificar, (00:10:32.020 –> 00:10:35.280) Não aceitando os problemas que ele tem na plataforma. (00:10:35.280 –> 00:10:38.800) Isso o CEO da própria Roblox, sabe? (00:10:38.800 –> 00:10:40.320) Na própria empresa. (00:10:40.320 –> 00:10:50.300) Então, isso me deixou ainda mais convencido de que é uma empresa que não tem preocupação nenhuma (00:10:50.300 –> 00:10:54.240) Com essa questão de segurança de crianças e tudo mais, entende? (00:10:54.240 –> 00:10:55.540) É bem delicado. (00:10:55.540 –> 00:10:58.760) Se o pessoal já se preocupa com o Discord, o Roblox é muito pior. (00:10:58.760 –> 00:11:00.000) É muito pior. (00:11:00.000 –> 00:11:03.140) Em termos de possibilidades de comunicação. (00:11:03.140 –> 00:11:06.380) É uma reportagem aqui da Folha de São Paulo. (00:11:06.420 –> 00:11:10.920) Pelo Daniel Mariani, ele destaca justamente isso. (00:11:10.920 –> 00:11:13.660) Inclusive de monetização. (00:11:13.660 –> 00:11:18.120) Práticas predatórias em games e monetiza compulsão e frustrações. (00:11:18.120 –> 00:11:22.720) Explora mecanismos psicológicos como medo de ficar fora da plataforma. (00:11:22.720 –> 00:11:25.060) Ficar de fora e perda de noção de tempo. (00:11:25.060 –> 00:11:27.540) Então, ele conta uma historinha que ele sai com o filho e o filho diz (00:11:27.540 –> 00:11:31.600) Olha, nós temos que voltar até tal hora porque vai acontecer um evento lá no Roblox (00:11:31.600 –> 00:11:34.920) E eu preciso estar lá e enfim. (00:11:35.800 –> 00:11:42.840) E aí, a crítica toda é também de que haveria uma falta de vontade, digamos assim, (00:11:42.840 –> 00:11:46.920) Da empresa de adotar controles parentais e também a questão da verificação da idade. (00:11:46.920 –> 00:11:52.820) E a verificação da idade que começa agora também a ficar mais presente agora em março. (00:11:52.820 –> 00:11:55.440) Tudo indica que vai acontecer também no Discord. (00:11:55.720 –> 00:11:57.760) Então, isso.. (00:11:57.760 –> 00:12:01.500) E também o Discord, Vinícius, se você quiser falar logo a seguir, (00:12:01.500 –> 00:12:07.160) Mas o Discord também aplicando novas formas de controle parental. (00:12:07.160 –> 00:12:11.440) Mas a grande discussão, e mais uma vez, isso está acontecendo no Brasil e no mundo, é (00:12:11.440 –> 00:12:17.200) Mas qual vai ser ou quais serão as medidas de controle de identidade. (00:12:18.080 –> 00:12:27.420) Então, se fala em biometria facial, se fala em envio de documentos e tal, e aí a grande preocupação que se coloca (00:12:27.420 –> 00:12:33.320) É no aumento das práticas de vigilância sobre como, que as empresas vão lidar com isso, (00:12:33.320 –> 00:12:39.040) Sobre o fato de a biometria facial ser um dado sensível, que poderia ser utilizado para outras sinalidades. (00:12:39.040 –> 00:12:47.020) Uma das notícias aqui mostra que o próprio Discord estava usando uma empresa lá, ou contratou uma empresa de verificação (00:12:47.020 –> 00:12:53.380) Que tinha conexões, que é a tal da persona lá, conexões no site deles, dizia mesmo (00:12:53.380 –> 00:12:55.840) This is a US government system. (00:12:55.840 –> 00:13:01.240) Mas aí que tá, Guilherme, assim, a gente tem um problema bem sério para resolver aí, tá? (00:13:01.240 –> 00:13:08.060) Porque ao mesmo tempo que se quer que as empresas consigam fazer a verificação de idade, (00:13:09.040 –> 00:13:11.160) E aí sim, é ok. (00:13:11.160 –> 00:13:12.660) O que que eu faço essa verificação de idade? (00:13:12.660 –> 00:13:17.000) O que que eu faço de um jeito que eu consiga ter um mínimo de confiança (00:13:17.000 –> 00:13:20.060) De que a criatura não tá mentindo pra mim, que o Zora não tá mentindo pra mim (00:13:20.060 –> 00:13:22.420) E tá entrando com menos de 13 ou coisa parecida? (00:13:22.420 –> 00:13:25.660) Então, eu preciso uma forma de verificar isso. (00:13:25.660 –> 00:13:28.400) Tu vai verificar como? (00:13:28.400 –> 00:13:30.080) Imagina a própria empresa. (00:13:30.080 –> 00:13:34.680) Ela vai usar reconhecimento facial para tentar identificar a idade? (00:13:34.680 –> 00:13:36.440) Ela vai pedir documentação? (00:13:38.360 –> 00:13:40.020) Não sei se isso é bom, se é ruim, entende? (00:13:40.020 –> 00:13:42.000) Eu só tô com o problema. (00:13:42.000 –> 00:13:46.220) Aí, o ideal, eu não gostaria de ficar dando minha identidade pra tudo quanto é empresa. (00:13:46.220 –> 00:13:50.460) Então, uma outra opção o governo tem as informações. (00:13:50.460 –> 00:13:54.360) Uma agência governamental tem as informações, as nossas informações. (00:13:54.360 –> 00:13:55.580) Sabe a idade que a gente tem. (00:13:55.580 –> 00:13:57.540) Tem toda a comprovação de quem a gente é. (00:13:58.220 –> 00:14:07.340) Será que não dá pra ter um protocolo que, de forma anônima, eu acesso um site e esse site (00:14:07.340 –> 00:14:15.160) Conversa com o site do governo e aí eu converso com o site do governo e digo, gera aí um token (00:14:15.160 –> 00:14:21.420) Pra mim, eu sou fulano, gera um token dizendo que eu tenho mais de 18 anos ou tem mais de 13 (00:14:21.420 –> 00:14:22.460) Ou coisa parecida. (00:14:22.460 –> 00:14:27.360) Parecido com o que a gente já faz no Alt pra fazer autenticação quando a gente usa o Google e tudo mais. (00:14:27.360 –> 00:14:31.720) Parecido com isso, mas em vez de dizer quem nós somos, ele diz que idade que a gente tem. (00:14:31.720 –> 00:14:32.860) Tá? (00:14:32.860 –> 00:14:36.000) Só que daí tu tem vários outros problemas. (00:14:36.000 –> 00:14:38.380) Ok, o site pode não saber quem tu é por ali. (00:14:38.380 –> 00:14:39.360) Não tem problema. (00:14:39.360 –> 00:14:41.460) E aí tem outro jeito de saber quem tu mas enfim. (00:14:41.460 –> 00:14:43.180) Até porque você vai ter um cadastro lá. (00:14:43.240 –> 00:14:43.960) Exato. (00:14:43.960 –> 00:14:51.560) Então assim, ok, ao mesmo tempo tu vai estar dizendo pro governo o que que tu tá acessando. (00:14:51.560 –> 00:14:57.260) Então se o governo começar a registrar lá na hora de consultar quem tá consultando o teu cadastro (00:14:57.260 –> 00:15:00.900) Ou pra quem tu tá se autenticando, ele sabe o que que tu tá acessando. (00:15:00.900 –> 00:15:06.060) E aí teve um problema recente, a gente chegou a comentar aqui, eu só não lembro se foi na (00:15:06.060 –> 00:15:10.120) Inglaterra especificamente ou foi na União Europeia, tá? (00:15:10.120 –> 00:15:11.900) E se eu não tô enganado, foi na Inglaterra, cara. (00:15:11.900 –> 00:15:19.940) Mas eles estavam com a demanda de, pra acessar site pornográfico, tu tem que dar a tua (00:15:19.940 –> 00:15:23.300) Identificação real, tá? (00:15:23.300 –> 00:15:28.080) Pra que o site tenha certeza de que tu é o maior de idade. (00:15:28.080 –> 00:15:36.360) E aí começou uma outra discussão da questão da privacidade das pessoas que acessam (00:15:36.360 –> 00:15:37.600) Esses sites e tudo mais. (00:15:38.100 –> 00:15:46.060) Então eu não vejo uma solução perfeita, assim, que empresa privada não guarde as informações (00:15:46.060 –> 00:15:48.760) Ou não tem um repositório de informações pra fazer isso. (00:15:48.760 –> 00:15:52.560) Tem uma solução que já é conhecida que é uma chamada, com a chamada Meu ID. (00:15:52.560 –> 00:15:59.420) Eu uso pra algumas plataformas de jogos, que a ideia é justamente essa, tu se autentica (00:15:59.420 –> 00:16:04.100) Com a plataforma, com a tua documentação, faz prova, faz o esquema da imagem e tudo mais. (00:16:04.100 –> 00:16:06.140) Aí tu usa ela pra se autenticar uma plataforma. (00:16:06.140 –> 00:16:11.660) Então, ou a gente vai ter que ter uma empresa como essa, ou vai ter que vincular com algum (00:16:11.660 –> 00:16:12.500) Órgão do governo. (00:16:12.500 –> 00:16:18.140) Eu não vejo uma saída diferente pro Discord, por exemplo. (00:16:18.140 –> 00:16:21.540) Eu não vejo uma saída diferente pro Facebook. (00:16:22.220 –> 00:16:27.240) Como é que eu vou autenticar, como é que eu vou saber que o usuário tem mais certa idade, (00:16:27.240 –> 00:16:37.040) Sem que eu possa ser enganado e sem pedir uma confirmação mais consistente, documental, (00:16:37.040 –> 00:16:43.280) Nem que seja interfaceada ou intermediada pelo governo ou por uma empresa privada, (00:16:44.460 –> 00:16:49.760) Que diga, não, Vinícius realmente tem mais de 13 anos. (00:16:49.760 –> 00:16:51.620) É um problema não. (00:16:51.620 –> 00:16:53.520) Eu não vejo uma solução fácil pra isso. (00:16:53.520 –> 00:16:55.720) É um problema de privacidade. (00:16:55.720 –> 00:17:01.940) Essa questão que eu comentei aqui desse persona que o Discord tava usando, (00:17:01.940 –> 00:17:05.660) A grande questão era que era um negócio quase como um data broker de verificação (00:17:05.660 –> 00:17:11.980) Que iria ser utilizado para fins de vigilância estatal. (00:17:11.980 –> 00:17:17.900) E aí o Discord, depois que isso vira notícia, eles voltam atrás. (00:17:17.900 –> 00:17:19.940) Eles dizem, nós não vamos mais usar isso. (00:17:19.940 –> 00:17:21.100) Ou seja, assim, tiram. (00:17:21.100 –> 00:17:23.000) O problema é um problema de privacidade. (00:17:23.000 –> 00:17:27.280) Você poderia, eu imagino, Vinícius, que se todo mundo tivesse, (00:17:27.280 –> 00:17:31.960) Levasse proteção de dados a sério, você poderia sim ter um protocolo (00:17:31.960 –> 00:17:36.560) Em que empresas e Estado poderiam fornecer um meio de autenticação (00:17:36.560 –> 00:17:39.540) Privacy-friendly. (00:17:39.540 –> 00:17:43.860) Ou seja, sem a coleta de informações sobre quem acessou o quê. (00:17:43.860 –> 00:17:48.360) Eles, ambos os lados, ou todos os lados, deveriam abrir mão disso. (00:17:48.360 –> 00:17:53.080) Mas nós sabemos que no estado atual de coisas, isso não vai acontecer. (00:17:53.080 –> 00:17:53.800) É o contrário. (00:17:53.800 –> 00:17:57.440) O que essa notícia mostra é que as empresas e governos estão, (00:17:58.560 –> 00:18:02.820) Frequentemente, caminhando para utilizar essa desculpa da verificação (00:18:02.820 –> 00:18:04.760) Para aumentar o monitoramento sobre as pessoas. (00:18:04.760 –> 00:18:06.620) E essa que me parece que é a preocupação. (00:18:06.620 –> 00:18:12.060) Enfim, nós vamos deixar, como sempre, todas as notícias lá no Show Notes. (00:18:12.060 –> 00:18:15.020) Tem outras coisas aqui, se você se interessa por essa questão. (00:18:15.020 –> 00:18:18.660) O papel do Discord em questão de agressão de animais, (00:18:18.660 –> 00:18:21.040) Que teve aí recentemente com o caso do Cão Orelha. (00:18:21.040 –> 00:18:25.860) E também sobre como empresas internamente discutiram e sabem. (00:18:25.860 –> 00:18:29.540) O próprio Instagram sabia como o próprio Instagram fazia mal para meninas (00:18:29.540 –> 00:18:30.680) E para adolescentes e tudo mais. (00:18:30.680 –> 00:18:32.440) Então, isso continua acontecendo. (00:18:32.440 –> 00:18:35.160) Documentos internos aí vazados. (00:18:35.160 –> 00:18:40.440) Como acontece, demonstram que eles sabem dos potenciais maléficos. (00:18:40.440 –> 00:18:46.680) Para adolescentes e continuam oferecendo as plataformas ou serviços (00:18:46.680 –> 00:18:49.700) Sem levar em consideração a proteção da criança e do adolescente. (00:18:49.700 –> 00:18:53.220) Então, fica nesse primeiro grupo aí, Vinícius. (00:18:54.120 –> 00:18:54.640) Perfeito. (00:18:54.640 –> 00:18:57.720) Segundo grupo, tem a ver também. (00:18:57.720 –> 00:19:00.300) Tem a ver com crianças e adolescentes, mas não somente. (00:19:00.300 –> 00:19:03.120) Mas tem a ver também com proteção de.. (00:19:03.120 –> 00:19:05.740) Sobretudo de mulheres na internet, da imagem de mulheres (00:19:05.740 –> 00:19:12.360) E sobre como a IA tem sido utilizada especificamente pelo X ou Twitter, Vinícius? (00:19:12.360 –> 00:19:15.660) Todo mundo que fala X logo depois tem que dizer o antigo Twitter. (00:19:15.660 –> 00:19:17.800) Mas todo mundo já sabe que o X é o antigo Twitter. (00:19:18.040 –> 00:19:20.500) Você fica meio com um vício ali. (00:19:20.500 –> 00:19:22.880) E aí, o que começou? (00:19:22.880 –> 00:19:24.060) O nome virou.. (00:19:24.060 –> 00:19:26.180) Parece que o nome virou o X antigo Twitter mesmo. (00:19:26.180 –> 00:19:27.440) Junto. (00:19:27.440 –> 00:19:28.400) Que nem a HBO. (00:19:28.400 –> 00:19:31.180) Viu a HBO Max, que era HBO. (00:19:31.180 –> 00:19:33.280) Aí depois virou a HBO Max. (00:19:33.280 –> 00:19:34.760) Aí depois foi Max. (00:19:34.760 –> 00:19:35.980) Aí tinha.. (00:19:35.980 –> 00:19:36.140) Gol. (00:19:36.140 –> 00:19:38.360) Aí voltaram com a HBO agora. (00:19:38.360 –> 00:19:40.940) Eu tenho a assinatura deles lá. (00:19:40.940 –> 00:19:41.360) Meu Deus. (00:19:41.360 –> 00:19:44.700) Eu nem sei mais o que eu tô assinando lá, porque eu não sei mais o nome desse. (00:19:44.700 –> 00:19:51.960) E aí a questão que, enfim, nesses últimos meses aí virou, uma notícia muito forte (00:19:51.960 –> 00:19:57.740) Foi que o pessoal pedia lá pro Grock no X pra que ele tirasse, deixasse mulheres nuas (00:19:57.740 –> 00:20:02.920) Ou tirasse a roupa de mulheres, inclusive de crianças. (00:20:03.660 –> 00:20:10.520) E naquela perspectiva, de que a ferramenta é neutra, a ferramenta só faz aquilo que (00:20:10.520 –> 00:20:16.440) O usuário pede pra ela fazer, a culpa não é nossa e tal, mas ao mesmo tempo a ferramenta (00:20:16.440 –> 00:20:22.400) Era programada sem guardrails ali pra despir pessoas. (00:20:22.400 –> 00:20:28.940) E se ela pode ser programada para despir pessoas, me parece que também é fácil colocar guardrails (00:20:28.940 –> 00:20:35.400) Aí pra impedir que ela dispa, dispa, despir, despir pessoas. (00:20:35.400 –> 00:20:37.920) Acho que eu nunca tinha usado o verbo despir dessa forma. (00:20:37.920 –> 00:20:39.840) Então, é.. (00:20:39.840 –> 00:20:41.080) E aí o que que aconteceu? (00:20:41.080 –> 00:20:43.860) Não sei se você quer fazer uma observação agora ou depois aqui, só pra.. (00:20:43.860 –> 00:20:45.080) Não, pode sim, pode sim, pode sim. (00:20:45.080 –> 00:20:46.580) Aí o que que aconteceu? (00:20:46.580 –> 00:20:52.860) Foi toda uma pressão em cima do X, Elon Musk chega e diz, não, olha, nós vamos, (00:20:52.860 –> 00:21:00.340) Então vamos ampliar os controles aqui, só vai poder despir pessoas quem tiver a conta (00:21:00.340 –> 00:21:01.920) Paga do X. (00:21:01.920 –> 00:21:09.820) E obviamente que daí a emenda saiu pior que o soneto e no Brasil também já vimos movimentações, (00:21:10.160 –> 00:21:17.560) De três entidades aqui, a NPD, Ministério Público Federal e Senacom, em primeiro lugar fizeram (00:21:17.560 –> 00:21:25.420) Uma recomendação lá em janeiro e agora mais recentemente, depois da resposta do X, esses (00:21:25.420 –> 00:21:32.400) Três órgãos entenderam que as medidas foram insuficientes e cada um deles, na medida das (00:21:32.400 –> 00:21:36.620) Suas competências, iniciou um processo pra determinar. (00:21:36.620 –> 00:21:42.500) Aí sim, antes tinham sugerido medidas, o X informou as medidas que foram tomadas, eles (00:21:42.500 –> 00:21:47.500) Entenderam que não foram suficientes e a partir de agora começaram, cada um na medida das (00:21:47.500 –> 00:21:53.000) Suas competências, procedimentos administrativos, seja a NPD, uma medida preventiva, o Ministério (00:21:53.000 –> 00:21:58.960) Público também, um procedimento interno e a Senacom também numa medida cautelar administrativa (00:21:58.960 –> 00:22:01.700) Determinando que eles imediatamente parem. (00:22:01.700 –> 00:22:08.720) E implementem soluções técnicas e administrativas pra impedir a geração de imagens de pessoas (00:22:08.720 –> 00:22:10.000) Nuas. (00:22:10.620 –> 00:22:16.580) E pra variar. (00:22:10.620 –> 00:22:16.580) Pra variar as maiores vítimas disso foram mulheres, tá? (00:22:16.580 –> 00:22:19.800) E inclusive menores de idade, tá? (00:22:19.800 –> 00:22:20.800) E adolescentes. (00:22:20.800 –> 00:22:25.920) Isso foi o que causou, claro que, mesmo que não tivesse menores de idade envolvidas, (00:22:25.920 –> 00:22:32.620) Isso já gerou bastante polêmica, mas com menores de idade é a coisa.. (00:22:33.300 –> 00:22:37.840) E aí uma coisa, Guilherme, só uma observação, a gente já fala há muitos anos aqui no Segurança (00:22:37.840 –> 00:22:42.880) Legal, há muito tempo, essa questão da super exposição das crianças na internet e muitas (00:22:42.880 –> 00:22:43.960) Vezes pelos próprios pais. (00:22:43.960 –> 00:22:48.920) Quando a gente falava assim, ó, não expõe, não fica botando foto, não sei o quê, tu não (00:22:48.920 –> 00:22:50.900) Sabe o que vai poder ser feito com isso amanhã. (00:22:52.040 –> 00:22:56.620) E eu lembro de estar falando e falando sobre isso em 2015, em escolas, fazer umas palestras (00:22:56.620 –> 00:22:59.020) Assim, falando pro pessoal exatamente nesses termos. (00:22:59.020 –> 00:23:07.800) E agora aqui estamos nós em 2026 com o X antigo Twitter, uma ferramenta de ar embutida (00:23:07.800 –> 00:23:13.940) Que, cara, tira a roupa de adolescente, menor de idade e tudo mais. (00:23:14.480 –> 00:23:19.600) E aí, e mesmo que você seja cuidadoso com a imagem dos filhos e tal, que é realmente (00:23:19.600 –> 00:23:20.500) A recomendação.. (00:23:20.500 –> 00:23:22.560) As escolas tinham foto, publicam, é um.. (00:23:22.560 –> 00:23:28.740) Exato, não, e ainda você tem pessoas públicas, que eventualmente, eventualmente não, (00:23:28.740 –> 00:23:34.940) Mas pessoas públicas que têm a sua imagem publicada em função da sua, da sua atividade, (00:23:34.940 –> 00:23:40.600) Sei lá, uma política, pessoas do ramo político, enfim, artistas e tudo mais, e ainda (00:23:40.600 –> 00:23:46.220) Assim não há, me parece, aliás, eu tenho certeza que não há um direito de pessoas (00:23:46.220 –> 00:23:53.460) Usarem IA pra macular a imagem de mulheres, inclusive teve notícias, pegaram lá uma (00:23:53.460 –> 00:23:58.420) Primeira ministra, não lembro exatamente de qual país, e aí começaram a fazer isso (00:23:58.420 –> 00:24:02.200) Com a imagem dela pra desqualificá-la, enfim. (00:24:02.200 –> 00:24:10.580) E aí acaba entrando, Vinícius, um pouco naquilo, eu vou puxar lá pro grupo 6, (00:24:10.580 –> 00:24:16.200) Mas tem um pouco a ver, o Vinícius me mandou esses dias uma notícia de um.. (00:24:16.200 –> 00:24:21.120) Seria um aborígine, da Nova Zelândia, que fazia vídeos.. (00:24:21.120 –> 00:24:21.760) O Steve Irving. (00:24:21.760 –> 00:24:23.340) Conta aí a história, conta aí a história. (00:24:23.340 –> 00:24:23.680) O Steve Irving. (00:24:23.680 –> 00:24:24.440) . (00:24:24.440 –> 00:24:26.260) É inacreditável. (00:24:26.260 –> 00:24:29.200) O Steve Irving, o Steve Irving é um.. (00:24:29.200 –> 00:24:37.740) Um aborígine, australiano, que faz vídeos.. (00:24:37.740 –> 00:24:38.240) Neo-zelandês. (00:24:38.240 –> 00:24:38.740) Neo-zelandês. (00:24:38.740 –> 00:24:39.380) Neo-zelandês. (00:24:39.380 –> 00:24:42.400) É Nova Zelândia, não misturar Nova Zelândia com a Austrália. (00:24:42.400 –> 00:24:43.140) Nada. (00:24:43.140 –> 00:24:49.400) Neo-zelandês, que faz vídeos, aqueles vídeos assim, meio de aventura, assim, de ver os bichos (00:24:49.400 –> 00:24:50.780) De perto e meio.. (00:24:50.780 –> 00:24:55.620) Encontra uma cobra e mexe na cobra e um escorpião e por aí vai. (00:24:55.700 –> 00:24:56.700) Esses vídeos assim, sabe? (00:24:56.700 –> 00:24:57.140) E mostrando.. (00:24:57.140 –> 00:25:00.160) Mas mostrando os animais lá da Nova Zelândia. (00:25:00.160 –> 00:25:01.120) Sim, exatamente. (00:25:01.120 –> 00:25:02.460) Fazendo um negócio.. (00:25:02.460 –> 00:25:04.060) Cara, um negócio muito bem feito. (00:25:04.060 –> 00:25:05.340) Um negócio muito bem feito. (00:25:05.340 –> 00:25:06.800) Tipo um National Geographic, assim. (00:25:06.800 –> 00:25:09.320) Tinha um outro cara, aquele cara que morreu.. (00:25:09.320 –> 00:25:13.500) Bem conhecido, ele morreu com ferrão de uma arraia. (00:25:13.500 –> 00:25:14.200) Uma arraia. (00:25:14.200 –> 00:25:15.560) No peito. (00:25:15.560 –> 00:25:18.040) Eu não lembro o nome dele, mas tudo bem. (00:25:18.040 –> 00:25:21.040) .. (00:25:21.040 –> 00:25:24.880) E esse personagem é uma vibe muito parecida, tá? (00:25:25.700 –> 00:25:30.620) Cara, um negócio com, assim, muita gente seguindo. (00:25:30.620 –> 00:25:37.660) Houve 90 mil pessoas no Instagram e aí começou a chamar muita atenção, muita atenção. (00:25:37.660 –> 00:25:42.600) E aí o cara que criou o personagem veio ao público e dizia, ó, esse cara não existe. (00:25:43.400 –> 00:25:47.980) O Steve Irving era o cara que morreu com ferrão de arraia. (00:25:49.420 –> 00:25:50.400) Sim, verdade. (00:25:50.400 –> 00:25:51.480) Na notícia, sim. (00:25:51.480 –> 00:25:53.080) Eu misturei aqui que ele chamou.. (00:25:53.080 –> 00:25:54.620) É o Aboriginal Steve Irving. (00:25:54.620 –> 00:25:56.860) É o Steve Irving aborigine. (00:25:56.860 –> 00:25:57.340) Exatamente. (00:25:57.340 –> 00:25:59.780) O Steve Irving é o cara real que morreu. (00:25:59.780 –> 00:26:00.720) Isso, isso. (00:26:00.720 –> 00:26:01.220) Isso. (00:26:01.220 –> 00:26:03.380) E o nome do cara que.. (00:26:03.380 –> 00:26:06.220) Essa persona digital criada. (00:26:07.620 –> 00:26:09.340) Quem criou foi o.. (00:26:09.340 –> 00:26:10.400) Quem criou foi o.. (00:26:10.400 –> 00:26:13.720) O Keegan, John Manson, o cara que fez a.. (00:26:13.720 –> 00:26:15.140) Que criou o personagem. (00:26:15.140 –> 00:26:17.260) Cara, eu não tenho o nome do personagem aqui. (00:26:17.260 –> 00:26:20.040) Seria o Bush Legend. (00:26:20.040 –> 00:26:20.480) Mas.. (00:26:20.480 –> 00:26:21.320) Bush Legend. (00:26:21.320 –> 00:26:22.260) Esse é o canal. (00:26:22.260 –> 00:26:23.760) Esse é o canal, Bush Legend. (00:26:23.760 –> 00:26:24.520) O Bush Legend. (00:26:24.520 –> 00:26:25.260) A conta aqui, ó. (00:26:25.260 –> 00:26:26.260) Tá separado aqui. (00:26:26.260 –> 00:26:27.280) Bush Legend, a conta. (00:26:27.780 –> 00:26:30.500) Mas o interessante é que não é a conta em si, tá? (00:26:30.500 –> 00:26:33.260) Quem quiser olhar o Bush Legend lá, deve estar no ar ainda esse negócio. (00:26:33.260 –> 00:26:35.240) O interessante não é a conta em si. (00:26:35.240 –> 00:26:41.400) O interessante é que é uma coisa que tu assiste e, cara, tu não se dá a conta que (00:26:41.400 –> 00:26:42.360) Não é real. (00:26:42.360 –> 00:26:47.360) Talvez ali num vídeo ou outro tu possa até perceber, tá? (00:26:47.360 –> 00:26:50.880) Mas a maioria das pessoas não vai perceber. (00:26:50.880 –> 00:26:51.920) Não vai se dar conta, não vai se dar conta. (00:26:51.920 –> 00:26:53.560) Então, assim.. (00:26:53.560 –> 00:27:01.540) E recentemente teve um vídeo também, eu vi essa semana, ou semana passada, um vídeo (00:27:01.540 –> 00:27:06.360) Em que tava o Brad Pitt lutando com o Tom Cruise, tá? (00:27:06.360 –> 00:27:10.320) E eles discutindo os Epstein Files na luta. (00:27:10.320 –> 00:27:20.040) Eu mostrei pra minha esposa o vídeo e disse assim, olha só o trailer de um filme que eles (00:27:20.040 –> 00:27:20.940) Estão lançando e tal. (00:27:21.420 –> 00:27:24.060) Aí a gente começou a ver o vídeo, eu já tinha visto, ela começou a ver o vídeo, (00:27:24.060 –> 00:27:29.440) Assim, tá, mas aí eles falando e tal, e eles se batendo e não paravam de se bater (00:27:29.440 –> 00:27:31.840) E conversar, assim, mas que cena mais. (00:27:31.840 –> 00:27:33.080) Sem propósito. (00:27:33.480 –> 00:27:34.820) Uma coisa meio.. (00:27:34.820 –> 00:27:37.000) Mas ao mesmo tempo ela achou que fosse verdade. (00:27:37.000 –> 00:27:38.060) Aham. (00:27:38.060 –> 00:27:43.120) Ela achou que fosse verdade, porque os personagens, ali o Tom Cruise e o Brad Pitt, tá certinho (00:27:43.120 –> 00:27:43.500) Ali, cara. (00:27:43.500 –> 00:27:44.900) Claro que fica.. (00:27:44.900 –> 00:27:48.780) Depois eles começam a zoar, começam a mudar demais, assim, começam a botar uns personagens (00:27:48.780 –> 00:27:49.800) Meio estranhos no negócio. (00:27:50.560 –> 00:27:51.240) Mas é.. (00:27:51.240 –> 00:27:51.800) E há, cara. (00:27:51.800 –> 00:27:53.660) E aí isso gera tanto.. (00:27:53.660 –> 00:27:54.580) Não só uma preocupação. (00:27:54.580 –> 00:27:56.300) Agora nós estamos vando pra ano de eleição. (00:27:56.300 –> 00:27:57.360) Vamos ver o que vai acontecer. (00:27:57.360 –> 00:28:07.520) Mas não só gera essa possível confusão com quem assiste, pra quem assiste, mas também (00:28:07.520 –> 00:28:13.300) Tá gerando uma boa discussão lá nos Estados Unidos com relação, lá nos sindicatos dos (00:28:13.300 –> 00:28:16.380) Artistas e tudo mais. (00:28:16.380 –> 00:28:23.620) Porque, cara, se tu não quiser usar a imagem de alguém, que obviamente tu vai ter que pagar (00:28:23.620 –> 00:28:28.240) Pra usar a imagem do Tom Cruise, ninguém discute que mesmo que seja autorizado pelo Tom Cruise (00:28:28.240 –> 00:28:33.160) Tu vai ter que pagar o Tom Cruise pelo uso da imagem dele, mas que tu possa começar a criar (00:28:33.160 –> 00:28:37.600) Personagens completamente fictícios, ou pessoas. (00:28:37.600 –> 00:28:44.560) Atores fictícios, pra.. (00:28:37.600 –> 00:28:44.560) Pra atuarem num filme, atuarem numa série. (00:28:45.560 –> 00:28:48.320) E aí tu não precisar mais. (00:28:48.320 –> 00:28:53.580) Talvez tu possa substituir até o roteirista na brincadeira, mas tu não precisar mais (00:28:53.580 –> 00:28:55.500) De atores humanos pra atuar. (00:28:55.500 –> 00:28:57.120) Então.. (00:28:57.120 –> 00:29:01.940) Tem uma discussão bem interessante em cima disso, sabe? (00:29:01.940 –> 00:29:07.680) A questão do emprego dos artistas e da questão do conteúdo que tu entrega. (00:29:07.680 –> 00:29:09.200) Pras pessoas. (00:29:09.200 –> 00:29:11.120) Tu vai assistir um filme.. (00:29:11.120 –> 00:29:14.480) Assim, tu topa assistir um filme muito bom feito por Iá? (00:29:14.480 –> 00:29:16.560) Cara.. (00:29:16.560 –> 00:29:21.280) Eu acho que tem um elemento ético, inclusive se fala isso lá numa das notícias. (00:29:21.800 –> 00:29:27.300) Que é um preceito de trans.. (00:29:21.800 –> 00:29:27.300) Um preceito ético de transparência no uso de Iá. (00:29:27.300 –> 00:29:32.160) Então, quando a gente fala em princípios de governança de Iá, a transparência, ela (00:29:32.160 –> 00:29:36.060) Se desdobra em várias.. (00:29:32.160 –> 00:29:36.060) Várias situações. (00:29:36.060 –> 00:29:40.680) E uma das situações que a transparência se desdobra, enquanto princípio que deve reger (00:29:40.680 –> 00:29:45.320) O uso da Iá, isso eu tô falando porque é princípio já adotado na União Europeia (00:29:45.320 –> 00:29:46.940) E tudo mais, é.. (00:29:46.940 –> 00:29:51.140) . (00:29:46.940 –> 00:29:51.140) Você tem que saber que aquele conteúdo é gerado por Iá. (00:29:51.140 –> 00:29:52.800) E a grande.. (00:29:52.800 –> 00:29:54.320) E por que que isso virou notícia? (00:29:54.320 –> 00:29:55.540) Na verdade, são duas coisas. (00:29:55.540 –> 00:30:00.500) Isso virou notícia porque não se deram.. (00:29:55.540 –> 00:30:00.500) Ninguém se deu conta. (00:30:00.500 –> 00:30:05.540) Porque se diz, você mostra pra pessoa, se você olhar num vídeo e prestar atenção, (00:30:05.540 –> 00:30:06.760) Você vai descobrir que é. (00:30:06.760 –> 00:30:10.420) A questão é que hoje, até a gente comentava isso antes. (00:30:10.420 –> 00:30:17.520) Nós, eu e você e quem nos escuta, nós já estamos consumindo conteúdos gerados por (00:30:17.520 –> 00:30:18.440) Iá sem se dar conta. (00:30:18.440 –> 00:30:18.840) Por quê? (00:30:18.840 –> 00:30:23.400) Porque a lógica de consumir conteúdo em rede social não é você ficar prestando atenção (00:30:23.400 –> 00:30:28.980) Nos detalhes, a lógica é que você vai passando rapidamente sobre certos conteúdos. (00:30:28.980 –> 00:30:32.780) E você fica vendo muitos, aquela história do feed infinito que a gente já falou. (00:30:32.780 –> 00:30:38.080) Que é uma das maldições das redes sociais e o que aprisiona as pessoas lá dentro é (00:30:38.080 –> 00:30:38.860) O feed infinito. (00:30:38.860 –> 00:30:39.900) E vamos lá. (00:30:39.900 –> 00:30:42.620) O teu espírito crítico ali fica bem rebaixado. (00:30:42.840 –> 00:30:45.960) Claro que quando a gente olha o vídeo depois sabendo o que bom, tudo bem. (00:30:45.960 –> 00:30:51.860) Ontem mesmo eu tava na academia e fica uma TV ligada lá e tava passando uma propaganda (00:30:51.860 –> 00:30:53.300) Do Liquida Porto Alegre. (00:30:53.300 –> 00:30:57.000) É tipo uma liquidação de verão que eles fazem aqui na cidade. (00:30:57.800 –> 00:31:05.020) E, cara, cinco segundos da coisa já deu pra ver que era tudo gerado por Iá, cara. (00:31:05.020 –> 00:31:09.860) Toda uma propaganda gerada por Iá, até porque no final tinha uma senhora bem idosa correndo (00:31:09.860 –> 00:31:15.540) Junto com um monte de pessoas que ela não teria como uma senhora. (00:31:15.540 –> 00:31:19.400) Enfim, até teria, mas chamou a atenção o fato de ser uma senhora bem idosa correndo (00:31:19.400 –> 00:31:21.000) Loucamente na cidade, assim, sabe? (00:31:21.640 –> 00:31:25.980) Não que não seja possível, não que não seja possível. (00:31:25.980 –> 00:31:29.660) Não, não que não seja possível, mas, assim, aquilo já disparou, não, como assim. (00:31:29.660 –> 00:31:35.940) Então, você tem um elemento ético muito, isso tá acontecendo, a propaganda, eu acredito, (00:31:35.940 –> 00:31:39.720) Que o CONAR, enfim, a regulamentação da propaganda tem que deixar isso claro. (00:31:39.720 –> 00:31:45.220) Olha, você está assistindo uma reportagem, uma propaganda feita por Iá, assim como você (00:31:45.220 –> 00:31:49.340) Quando você tá consumindo um produto no supermercado, diz se aquilo ali tem transgênico (00:31:49.340 –> 00:31:51.900) Ou não, ou o que consta. (00:31:51.900 –> 00:31:52.140) Excesso de sal. (00:31:52.140 –> 00:31:53.980) Excesso de sal, por que não? (00:31:53.980 –> 00:31:58.020) Porque a gente sabe que isso é bem brain rotizável. (00:31:58.020 –> 00:31:58.900) Aham. (00:31:58.900 –> 00:32:01.200) Brain rotizável, você não inventei agora, Vinícius. (00:32:01.200 –> 00:32:02.880) É um bom verbo. (00:32:02.880 –> 00:32:04.220) Brain rotizável. (00:32:04.220 –> 00:32:13.740) Vinícius, Brasil, você já deve ter ouvido falar disso, mas Brasil e União Europeia, (00:32:13.740 –> 00:32:17.320) Consolidaram lá o seu acordo de adequação mútua. (00:32:17.320 –> 00:32:23.180) Então, basicamente, agora, no final de janeiro, foi anunciado esse reconhecimento recíproco (00:32:23.180 –> 00:32:25.560) De adequação dos regimes de proteção de dados. (00:32:25.560 –> 00:32:31.800) E tem-se pintado isso como um marco histórico, porque, além desse franco reconhecimento, (00:32:31.800 –> 00:32:35.060) A ideia é que se abra, principalmente para o Brasil. (00:32:35.440 –> 00:32:42.000) Mas a ideia é que o Brasil poderia se beneficiar com base nesse acordo de adequação, (00:32:42.000 –> 00:32:47.660) Prestando serviços, para toda a União Europeia. (00:32:47.660 –> 00:32:53.020) Então, isso poderia ampliar o uso de data centers para IA e também o uso de próprio serviço, (00:32:53.020 –> 00:32:56.040) Porque uma vez que você tem esse reconhecimento, você não precisa, (00:32:57.180 –> 00:33:00.580) Digamos assim, quando você for fazer a transferência internacional de dados, (00:33:00.580 –> 00:33:03.140) Que é uma das situações lá em que você faz de um lado para o outro, (00:33:03.140 –> 00:33:05.800) Esse reconhecimento implica na possibilidade automática, (00:33:05.800 –> 00:33:08.880) Sem, por exemplo, você pedir, precisar pedir consentimento, (00:33:08.880 –> 00:33:12.820) Ou fazer avisos adicionais, ou reconhecimentos das autoridades. (00:33:12.820 –> 00:33:18.980) Então, abre-se, de fato, um espaço comercial também, (00:33:19.040 –> 00:33:22.300) Não seja de fluxos, de fluxo seguro de dados, enfim. (00:33:22.300 –> 00:33:24.600) Qual a questão? (00:33:24.600 –> 00:33:31.800) A questão é que, quando a gente faz uma comparação em como a União Europeia tem aplicado sanções (00:33:31.800 –> 00:33:35.620) E como o Brasil tem aplicado sanções, mesmo diante desse reconhecimento, (00:33:35.620 –> 00:33:39.620) Nós notamos que há uma distância, porque no Brasil ainda há, (00:33:39.620 –> 00:33:43.980) E aqui eu falo como titular de dados pessoais, (00:33:44.360 –> 00:33:49.580) Ainda há um certo, é um certo, como é que eu vou dizer, (00:33:49.580 –> 00:33:54.640) Atraso, talvez, na aplicação de sanções em situações muito complexas. (00:33:54.640 –> 00:33:57.340) Apenas para vocês terem uma ideia de alguns números, (00:33:57.340 –> 00:34:00.120) Na França, por exemplo, agora é janeiro, fevereiro, (00:34:00.120 –> 00:34:06.280) Você teve a France Travel, foi multada em 5 milhões de euros, (00:34:06.280 –> 00:34:09.920) A Free Mobile, 42 milhões de euros, (00:34:10.920 –> 00:34:14.820) É dividido aqui em Free Mobile e Free, não sei o que é. (00:34:14.820 –> 00:34:19.140) Então, você teve aí todas essas situações somente, (00:34:19.140 –> 00:34:22.120) Ou seja, multas milionárias na França, (00:34:22.120 –> 00:34:27.400) Somente por situações de vazamentos que se confirmou que ocorreram (00:34:27.400 –> 00:34:30.300) Por causa de insuficiência de medidas de segurança (00:34:30.300 –> 00:34:32.560) Adotadas por essas organizações. (00:34:32.560 –> 00:34:34.060) Isso na França. (00:34:34.060 –> 00:34:36.940) Na Espanha, que é uma autoridade pequena, (00:34:36.940 –> 00:34:40.180) Tem, se não me engano, menos funcionários do que, (00:34:40.180 –> 00:34:43.540) Até fiz esses dias um apanhado de número de funcionários e tal, (00:34:43.540 –> 00:34:45.960) Mas acho que tem menos funcionários do que a nossa NPD, (00:34:45.960 –> 00:34:53.040) Eles terminaram 2025 com 394 procedimentos sancionadores (00:34:53.040 –> 00:34:57.040) E com multas que somadas deram 40 milhões de euros. (00:34:57.040 –> 00:35:00.040) Então, acho que para consolidar, de fato, (00:35:00.040 –> 00:35:03.700) Urge que nós tenhamos um aprimoramento, (00:35:03.700 –> 00:35:05.480) E eu não falo nem somente em multas, (00:35:05.480 –> 00:35:08.720) Eu falo em sanções, impedir certos tratamentos, (00:35:08.720 –> 00:35:14.400) Caminhar justamente para a implementação de medidas de segurança, (00:35:14.400 –> 00:35:16.680) Resolver a questão das farmácias, (00:35:16.680 –> 00:35:20.380) Resolver a questão que a gente já falou aqui no nosso podcast (00:35:20.380 –> 00:35:26.980) Sobre a farra das biometrias faciais em academias, (00:35:26.980 –> 00:35:29.580) Em condomínios. (00:35:29.580 –> 00:35:32.780) Então, acho que a gente comemora, de fato, (00:35:32.780 –> 00:35:36.060) Mas há um caminho ainda a ser perseguido, me parece, (00:35:36.060 –> 00:35:40.100) Posso estar errado, enfim, mas me parece que há um caminho ainda a ser percorrido. (00:35:40.100 –> 00:35:42.580) Isso, obviamente, é uma via de duas mãos. (00:35:42.580 –> 00:35:45.340) Então, a gente tem uma equivalência. (00:35:45.340 –> 00:35:46.080) Isso. (00:35:46.080 –> 00:35:48.500) Então, uma coisa que muda, então, por exemplo, (00:35:48.500 –> 00:35:51.660) Se você quiser usar algum data center na Europa, (00:35:51.660 –> 00:35:53.620) Na União Europeia, para fazer mais ou menos de dados (00:35:53.620 –> 00:35:57.820) E cidadãos brasileiros, em princípio, ok. (00:35:57.820 –> 00:35:59.860) Isso. (00:35:59.860 –> 00:36:02.260) Quando você tem na União Europeia, (00:36:02.260 –> 00:36:04.040) Nos países que fazem parte da União Europeia, (00:36:04.040 –> 00:36:06.980) Não é na Europa, porque você tem países que.. (00:36:06.980 –> 00:36:08.340) Sim, eu falei, União Europeia, não é Europeia. (00:36:08.340 –> 00:36:10.960) Tu tem Inglaterra que não faz mais parte da União Europeia. (00:36:10.960 –> 00:36:12.060) Inglaterra não é mais. (00:36:12.060 –> 00:36:14.520) Aí o pessoal lá da Inglaterra, (00:36:14.520 –> 00:36:15.720) Quando entra na União Europeia, (00:36:15.720 –> 00:36:18.300) Eles ficam na fila não dos residentes da União Europeia, (00:36:18.300 –> 00:36:20.040) Eles têm que enfrentar a fila de todo mundo, (00:36:20.040 –> 00:36:21.800) Mas Suíça também não é. (00:36:21.960 –> 00:36:22.660) É engraçado. (00:36:22.660 –> 00:36:24.420) A Suíça também não é. (00:36:24.420 –> 00:36:25.960) Embora a Suíça tenha, (00:36:25.960 –> 00:36:30.200) Seja conhecida justamente por hospedar sistemas, (00:36:30.200 –> 00:36:32.080) The Privacy Friendly, de segurança, (00:36:32.080 –> 00:36:34.180) Mais VPNs que ficam lá na Suíça, (00:36:34.180 –> 00:36:36.520) Se vendem, mas não faz parte da Suíça. (00:36:36.520 –> 00:36:38.740) A Suíça acho que faz parte do espaço Schengen, (00:36:38.740 –> 00:36:39.340) Se não me engano, (00:36:39.340 –> 00:36:42.320) Que permite que você entre, (00:36:42.320 –> 00:36:44.640) Sem a necessidade de passar por fronteiras, (00:36:44.640 –> 00:36:46.120) Tem o tráfego livre, (00:36:46.120 –> 00:36:47.180) Mas acho que não faz, (00:36:47.180 –> 00:36:49.740) Mas não faz da União Europeia. (00:36:51.160 –> 00:36:52.620) Bom, Vinícius, (00:36:52.620 –> 00:36:54.680) Seguindo aqui, (00:36:54.680 –> 00:36:59.520) Nós temos também toda a questão da vigilância, (00:36:59.520 –> 00:37:02.240) Lá no Grupo 5, (00:37:02.240 –> 00:37:04.420) De vigilância e privacidade, (00:37:04.420 –> 00:37:05.220) Que nós vimos, (00:37:05.220 –> 00:37:07.680) Que me chamou bastante atenção, (00:37:07.680 –> 00:37:09.320) Chamou bastante atenção, (00:37:09.320 –> 00:37:13.660) Que foi o FBI solicitando a Microsoft (00:37:13.660 –> 00:37:17.460) A entrega de chaves BitLocker. (00:37:17.460 –> 00:37:20.720) E a gente estava conversando sobre isso antes, (00:37:20.720 –> 00:37:23.100) Não é obrigatório, (00:37:23.100 –> 00:37:26.540) Que você salve a chave do BitLocker na Microsoft. (00:37:26.540 –> 00:37:26.940) Não. (00:37:26.940 –> 00:37:27.900) Você pode salvar. (00:37:27.900 –> 00:37:29.380) Pode não estar em outro lugar. (00:37:30.520 –> 00:37:33.140) O que chama atenção aqui é a possibilidade, (00:37:33.140 –> 00:37:33.740) E vejam, (00:37:33.740 –> 00:37:35.360) Assim, (00:37:35.360 –> 00:37:36.800) O FBI e a polícia, (00:37:36.800 –> 00:37:39.040) Eu tenho absoluta certeza (00:37:39.040 –> 00:37:44.300) Que todos esses órgãos de investigação, (00:37:44.300 –> 00:37:45.220) De persecução penal, (00:37:45.220 –> 00:37:46.440) Tem o direito de, (00:37:46.440 –> 00:37:47.820) Eventualmente, (00:37:47.820 –> 00:37:50.180) Por uma ordem judicial fundamentada, (00:37:50.180 –> 00:37:52.420) Pedir acesso a nuvens, (00:37:52.420 –> 00:37:54.300) Como é o que está acontecendo agora. (00:37:54.560 –> 00:37:56.020) Os grandes escândalos aí, (00:37:56.020 –> 00:37:56.820) Banco Master, (00:37:57.240 –> 00:37:57.620) Mas, assim, (00:37:57.620 –> 00:38:01.300) Grandes escândalos e de crimes e tal, (00:38:01.300 –> 00:38:04.420) O pessoal acaba acessando nuvem de gente (00:38:04.420 –> 00:38:06.180) Que deixa o WhatsApp fazendo, (00:38:06.180 –> 00:38:07.480) Não se fala muito, (00:38:07.480 –> 00:38:10.940) Mas que deixa o WhatsApp fazendo backup lá no Google, (00:38:10.940 –> 00:38:11.940) Acessa o Google, (00:38:11.940 –> 00:38:14.000) Recupera o backup e vê tudo que o cara fez, (00:38:14.000 –> 00:38:14.720) Quem conversou, (00:38:14.720 –> 00:38:16.020) E arquivos e tudo mais. (00:38:16.020 –> 00:38:18.580) Mas o que chama atenção (00:38:18.580 –> 00:38:22.160) Sobretudo como os Estados Unidos agora estão se posicionando, (00:38:22.160 –> 00:38:23.440) Nessa parte de vigilância, (00:38:23.440 –> 00:38:25.520) Já vem se posicionando ao longo dos últimos anos, (00:38:25.520 –> 00:38:27.260) De repente, (00:38:27.260 –> 00:38:30.500) O FBI pegar a tua chave do BitLocker (0

Has Porsche design reached a turning point? In this special collaboration episode, 9WERKS Radio joins forces with James and Andy from the Curb & Canyon podcast to dissect the past, present, and high-stakes future of Porsche aesthetics. With the legendary Michael Mauer stepping down after two decades and former McLaren/Bentley designer Tobias Sühlmann taking the reins as the new Head of Style, we ask the big question: where does Porsche design go from here?The team dives deep into the "Highs and Lows" of the Mauer era—from the redemption of the Panamera and the futuristic Taycan to the challenges of keeping the 911 icon fresh across the 997, 991, and 992 generations. We also tackle the "elephant in the room": the controversial transition to an all-electric lineup and how Sühlmann's background in hypercars (like the McLaren Solus GT and Bentley Batur) will influence the next generation of Stuttgart's sports cars.In this 9WERKS x Curb & Canyon Special:The Changing of the Guard: What Tobias Sühlmann's appointment means for the future of the 911.Mauer's Legacy: Ranking the greatest (and most controversial) designs from 2004–2026.The SUV vs. Sports Car Debate: Can Porsche maintain its DNA as it prioritizes the Macan and Cayenne EV?Design "Highs & Lows": From the 918 Spyder masterpiece to the models that missed the mark.The "McLaren-isation" of Porsche: Discussing the influence of CEO Michael Leiters and the new design direction.Links & Community Follow Curb & Canyon: Search for "Curb & Canyon" on your favorite podcast app.Find your dream Porsche on the 9WERKS Marketplace: 9werks.co.uk/marketplace Thanks to our friends heritagepartscentre.com for sponsoring this podcast, get up to 10% off your basket by entering the code ‘9WERKS10' at the checkout on heritagepartscentre.com‘9WERKS Radio' @9werks.radio is your dedicated Porsche and car podcast, taking you closer than ever to the world's finest sports cars and the culture and history behind them.The show is brought to you by 9werks.co.uk, the innovative online platform for Porsche enthusiasts. Hosted by Porsche Journalist Lee Sibley @9werks_lee, and 911 owner and engineer Andy Brookes @993andy, with special input from friends and experts around the industry, including you, our valued listeners.If you enjoy the podcast and would like to support us by joining the 9WERKS Driven Not Hidden Collective you can do so by hitting the link below, your support would be greatly appreciated.Support the show

Recorded 2026-02-20 02:00:20

Hailing from the mean streets of El Paso, Texas, Dwayne has always been passionate about custom vehicles. Since I've known him, he's been a strong advocate of turbos and traveling across the country on them!     Dwayne's Instagram https://www.instagram.com/dwayne.c.24/   Join our Patreon community to gain access to our Patreon-only podcast, Garage Talk, our chat room, and ad-free episodes! https://Www.patreon.com/fastlifegare   Big thanks to our Show Sponsors   ⚡️ @arlennessmotorcycles https://www.arlenness.com Code "FASTLIFE10" for 10% off   ⚡️ @cowboyhdaustin https://www.cowboyharleyAustin.com   ⚡️ @lawtigersdallastexas https://lawtigers.com 1-800-LAW-TIGERS   ⚡️ @kabuto_americas https://kabutoamericas.com

EV Cayman and Boxster Project on the Chopping Block Big news out of Stuttgart: Porsche has pulled the EV Cayman and Boxster from their configurator, and reports are surfacing that Porsche leadership held internal meetings to kill the project entirely. So is this a win or a loss? Our take: probably more win than loss. This was shaping up to be a failure to launch. The enthusiasm for an electric mid-engine Porsche was never really there from the core enthusiast base, and the market has been sending clear signals. Sometimes the best move is knowing when to walk away before you're too far in. The money lost hurts, but a forced launch that lands flat would've hurt the brand more. Magnus Walker Collection Heading to RM Sotheby's — No Reserve Magnus Walker is sending a significant portion of his collection to auction at RM Sotheby's, and the cars are listed with price estimates and—here's the key detail—no reserve. If you've spent any time in the auction world, you know how rare and how meaningful that is. It signals real commitment to sell. The cars we're watching most closely: the Minerva Blue 930 estimated at $175-200k, and the 996 GT2 at $125-150k—nearly 100k miles on it, but it's a GT2, and those don't come around often. Honorable mention to the 996 GT3 at $100-125k. Estimates feel fair across the board, but no reserve means the floor is the floor and the ceiling is whatever the room decides. Expect most of these to go higher, not lower. Fahren — Last Call, Spots Nearly Gone This is your final warning. Fahren spots are almost gone. If you're even remotely considering it, stop thinking and put your deposit in now to lock your spot. You can figure out the rest later. Don't be the person who waited too long and missed it. Head to pcartalk.com. Singer Drops a Wide Body Convertible Singer has built a wide body convertible, and this is a bigger deal than people may realize. Factory wide body drop tops were made in period—just not many of them. Singer's version brings all their engineering refinement along for the ride, including a 4.0L naturally aspirated motor making 420 horsepower. For the person who wanted a wide body convertible and has the means to make it happen, Singer just gave them the answer. The heritage is real, and the execution is Singer. Hard to argue with that. MotorTrend's Top 5 911s One Journalist Has Ever Driven MotorTrend published a list of the top 5 911s one of their journalists has ever driven: the first-gen 930 3.0 pre-intercooler Turbo, the 993, a 996 generation car, the 991.2, and the 992 GT3 RS. Opinion-based, sure, but it's a great conversation starter. The 930 pre-intercooler making the list says a lot—there's something about that raw, unfiltered experience that sticks with people. What do you think of this grouping? Is there a generation missing that deserves a spot? Let us know. Outro That's the show. Thanks for listening. If you want more, join the Pcar Club at Patreon.com/pcartalk. Follow us on Instagram @pcartalk. Until next time, keep it on the road. Kimchi Crew Steve, Leslie, Chris, Ken, Aaron, Matthew, Sean, and Nik

Hoy en Garaje Hermético desgranamos una de esas proezas técnicas que solo una marca con la audacia de Volkswagen podía llevar a la producción en serie. Hablamos de una sigla que hoy resuena con reverencia entre los entusiastas, pero que en su momento fue sinónimo de quebraderos de cabeza, facturas desorbitadas y más de una lágrima: el Compresor G. ¿Fue una genialidad de la ingeniería alemana o, por el contrario, un desastre en términos de fiabilidad? El contexto: La era del Turbo y la búsqueda de la inmediatez. Para comprender la génesis del Compresor G, debemos remontarnos a principios de los años 80. La industria automotriz vivía un auténtico romance con el turbocompresor, impulsada por los éxitos de la Fórmula 1 y el impacto de iconos como el Porsche 911 Turbo. Sin embargo, esta tecnología adolecía de un "pecado capital": el notorio "turbo lag". Ese desesperante lapso entre que el conductor pisaba el acelerador y las turbinas tomaban velocidad para entregar la potencia. Los ingenieros de Volkswagen, bajo la dirección del Dr. Ernst Fiala, tenían una visión diferente. Anhelaban las prestaciones de un turbo, pero con la respuesta instantánea de un motor atmosférico de gran cilindrada. Querían que sus compactos deportivos, como el Polo o el Golf, ofrecieran par motor desde el ralentí, eliminando ese comportamiento "binario" de "ahora nada, ahora todo". El Rescate de un Diseño Centenario: Léon Creux y la Espiral Olvidada. La búsqueda llevó a Volkswagen a los archivos de patentes, donde redescubrieron un diseño de 1905 del ingeniero francés Léon Creux: un compresor de desplazamiento rotativo con forma de espiral. Sobre el papel, era la solución ideal: intrínsecamente más silencioso y térmicamente más eficiente que los compresores Roots utilizados por Mercedes o Lancia, prometía una entrega de potencia absolutamente lineal. La gran barrera para Monsieur Creux en 1905 fue la ausencia de la metalurgia necesaria para fabricar un componente con la precisión requerida. Ochenta años después, Volkswagen decidió que contaban con la tecnología para materializarlo. Un acto de audacia técnica, quizás incluso de soberbia, que sin duda dejaría una huella imborrable. Anatomía de una Joya: Cómo Funciona el Compresor G. El nombre "G" proviene de la forma en espiral de sus piezas internas. Olvidemos las turbinas que giran a 200.000 rpm impulsadas por los gases de escape. El Compresor G es un compresor volumétrico, movido por una correa conectada directamente al cigüeñal del motor. Consta de dos espirales de aluminio fundido que encajan con una precisión de micras. Una es fija (la carcasa) y la otra es móvil (el desplazador). Al moverse orbitalmente, las espirales crean cámaras de aire que se desplazan hacia el centro. A medida que estas cámaras avanzan, su volumen se reduce, comprimiendo el aire antes de enviarlo al colector de admisión. La eficiencia térmica era notable: al no estar en contacto directo con los gases de escape, el aire de admisión se calentaba menos, permitiendo relaciones de compresión más altas y un excelente rendimiento termodinámico. La Paradoja de los Caballos Invisibles: Una Experiencia de Conducción Única. Conducir un Golf G60 de 160 CV en su época era una experiencia desconcertante. El cronómetro lo confirmaba: era más rápido que un Golf GTI 16v de 139 CV. Pero la sensación al volante era otra. ¿Por qué parecía que "faltaban caballos"? La clave residía en su curva de par. Estamos acostumbrados a una señal física de potencia en un deportivo: el tirón a altas vueltas de un motor multiválvulas o la "patada" del turbo. El G60, en cambio, ofrecía una aceleración constante, plana, sin picos ni dramatismo. Además, el compresor es un "parásito". Para generar presión, "roba" energía al motor a través de la correa. A altas revoluciones, esta pérdida podía alcanzar los 20 CV, restándole esa "alegría" en la zona alta del cuentavueltas que sí ofrecían los motores atmosféricos puros. -Volkswagen apostó fuerte por el compresor G, extendiendo su aplicación a varios modelos: -Polo G40 (1987-1994): Con espirales de 40 mm y un motor 1.3, fue el experimento inicial. -Golf G60 y Corrado G60 (1988-1993): Aquí las espirales aumentaron a 60 mm, asociadas al motor 1.8 de ocho válvulas. -Golf Rallye: Un intento de Volkswagen de dominar los rallyes, con tracción total Syncro y estética agresiva. -Passat G60 Syncro: Un verdadero "unicornio", una berlina discreta con tracción total y 160 CV. El Talón de Aquiles: ¿Por Qué Estallaban las Espirales? Si el sistema era tan refinado, ¿por qué Volkswagen lo abandonó tan abruptamente a mediados de los 90? La respuesta radicaba en el mantenimiento. Volkswagen comercializó estos coches como si fueran Golf normales, lo cual era un error. El Compresor G era una pieza de "alta cirugía" que exigía un cuidado exquisito.

Dicen Veintiuno que hay algo de liberador en ser otra persona, ser alguien que no tiene los problemas que tú tienes, ser alguien que no ha pasado por lo que tú has pasado, ser alguien que no se equivocó donde tú te equivocaste, ser la persona que te gustaría ser, ser la persona que quizá fuiste y ya no recuerdas que fuiste y en ser quien quieres ser. Eso es lo que cuenta la envolvente, magnética, épica, ultra pegadiza y enorme "Vidas Pasadas", la nueva canción de Veintiuno que hoy estrenamos en Radio 3 -en 180 Grados y en Turbo 3-. Aparte, escuchamos la urgente y garajera "Problemas", nuevo avance de Carlangas, junto al dúo madrileño, Dear Joanne, a Tronkas con la reivindicativa y punk, "Deprimida pero Alternativa", y a U2 con " American Obituary", la canción que abre su EP sorpresa, "Days Of Ash", repleto de compromiso social y políticoGINEBRAS - VueltasU2- American ObituaryVILLANELLE - PlaceboYUNGBLUD, The Smashing Pumpkins - ZombieTHE MOLOTOVS - Come On NowMARIA JAUME - Sant Domingo ForeverTHUNDERCAT, MAC MILLER - She Knows Too MuchTIWAYO - Sunshine LadyTHE LAST DINNER PARTY - Let's Do It Again!VEINTIUNO - Vidas PasadasVIVA SUECIA - Mala PrensaCARLANGAS & DEAR JOANNE - ProblemasTRONKAS - Deprimida pero AlternativaCA7RIEL & Paco Amoroso - HASTA JESÚS TUVO UN MAL DÍAFRED AGAIN.., JAIME T- Lights Burn dimmerEscuchar audio

Compact SUVs are everywhere—but what happens when one completely surprises you?

SlapperCast Episode 365: "Digging Them Digging Us" Blaggards hit the long road home from Parker, Arizona, after a very rewarding two-day engagement at the legendary DESERT BAR. We start off talking about how we often change the set list during the show based on the audience response, and sometimes even the change how we play the songs... which is one of the most fun things about being in a band. We talk about why song placement matters, how the last song can basically point at the next one, and what it takes for a band (especially the rhythm section) to make those decisions in real time Show dates Blaggards.com Facebook Bandsintown Follow us on social media YouTube Facebook Twitter Instagram Become a Patron Join Blaggards on Patreon for bonus podcast content, live tracks, rough mixes, and other exclusives. Rate us Rate and review SlapperCast on iTunes Questions? If you have questions for a future Q&A episode, leave a comment on Patreon, or tweet them to us with the hashtag #slappercast.

Is the future of the Porsche community in safe hands? In this episode of 9WERKS Radio, Lee Sibley and Andy Brookes are joined by a selection of younger members from the Driven Not Hidden Collective (DNHC). We explore the passion behind the next generation of owners and how they are navigating the world of modern classic Porsche ownership.From the affordable entry point of a Porsche 986 Boxster to the dream of owning an air-cooled 911, we discuss what draws a younger demographic to the brand in 2026. Whether it's the heritage, the engineering, or the "Driven Not Hidden" lifestyle, these enthusiasts prove that the Porsche bug is more contagious than ever.Inside This Episode: Porsche Passion & The DNHCBuying Your First Porsche: Navigating the Modern MarketFor many young Porsche owners, the path to ownership involves strategic buying. We dive into:Entry-level Porsche models: Why the 986 Boxster, 944, and 996 Carrera are the "sweet spots" for new enthusiasts.DIY Maintenance: How the next generation is using the internet to keep their cars on the road.The Daily Driver Reality: Can you really use a 20-year-old Porsche as your only car?Heritage vs. Innovation: The Future of the Porsche BrandWe ask our guests what they value most: the analog feel of a manual gearbox or the cutting-edge performance of a Taycan or 992 GT3. We also look at the "Forever Car" — the ultimate dream Porsche they hope to one day have in their garage.Why the Driven Not Hidden Collective (DNHC) MattersCommunity is the backbone of the Porsche world. We discuss why the 9WERKS DNHC is the perfect home for enthusiasts who believe cars are meant to be driven, regardless of age, model, or mileage.Thanks to our friends heritagepartscentre.com for sponsoring this podcast, get up to 10% off your basket by entering the code ‘9WERKS10' at the checkout on heritagepartscentre.com‘9WERKS Radio' @9werks.radio is your dedicated Porsche and car podcast, taking you closer than ever to the world's finest sports cars and the culture and history behind them.The show is brought to you by 9werks.co.uk, the innovative online platform for Porsche enthusiasts. Hosted by Porsche Journalist Lee Sibley @9werks_lee, and 911 owner and engineer Andy Brookes @993andy, with special input from friends and experts around the industry, including you, our valued listeners.If you enjoy the podcast and would like to support us by joining the 9WERKS Driven Not Hidden Collective you can do so by hitting the link below, your support would be greatly appreciated.Support the show

Coach EM Turbo Tip — What's Been On My Mind Tip: Three things that have been on my mind lately: 1️⃣ Connection before correction. 2️⃣ People commit to what they help create. 3️⃣ Feedback builds confidence when it's anchored in care. • Live inspired • Practice improving • Lead with Impact Featured partner: Today's Turbo Tip with Coach EM is brought to you by trysam.AI — your match-making AI tool for people looking for a coach and coaches wanting the ideal client.

Recorded 2026-02-13 02:02:14