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Howard Penrose of MotorDoc joins to discuss the circulating currents killing main bearings and drivetrain checks without a climb. Reach out at info@motordoc.com or on LinkedIn. The Uptime Wind Energy Podcast is brought to you by Weather Guard Lightning Tech, creators of the StrikeTape Ultra LPS retrofit. Subscribe to Uptime’s Substack newsletter. And check out Rosemary’s “Engineering with Rosie” Youtube channel. Have a question we can answer on the show? Email us! Welcome to Uptime Spotlight, shining light on wind energy’s brightest innovators. This is the progress powering tomorrow. Allen Hall: Howard, welcome back to the program.  Howard Penrose: Hey, thanks for having me.  Allen Hall: It’s about time everybody realizes what motorDoc can do. There’s so much technology, and I’ve been watching- Yeah … your Chaos and Caffeine podcast on Saturday morning, which are full of really, really good information about the motorDoc as a company, all the things you’re doing out in the field, and how you’re solving real-world problems, not imaginary ones- Yeah real-world problems. Oh, yeah. Yeah, and  Howard Penrose: whatever annoys me that week. Exactly. And, and whatever great coffee I’m trying out. Yes. Except for a few. We’ve had the ReliaSquatch down our- Yes … um, a couple of times. Uh, yeah, no, I, I enjoy it, and we gotta get you on there sometime. I don’t do- I, it- … a lot of interviews other than an AI character we put in. Allen Hall: It’s a very interesting show because you’re [00:01:00] getting a little bit of comedy and humor and s- Yeah … and a, and a coffee review, which is very helpful because I’ve tried some of the coffees that you have reviewed, that you’ve given the thumbs up to. But if you’re operating wind turbines and you’re trying to understand what’s happening on the drivetrain side, on the generator, everything out to the blades even, main bearings, gearboxes- Yeah all those rotating heavy, expensive parts, there’s a lot of ways to diagnose them-  Howard Penrose: Yes …  Allen Hall: that are sort of like we can look at a gear, we can look at a joint, we can look at roller bearings, whatever, but motorDoc has a way to quickly diagnose all of that chain in about- Yeah … 15 seconds.  Howard Penrose: Well, a little longer than 15 sec- more like a minute. A minute, okay. It feels like paint drying. But- Uh, in any case, yeah. Uh, uh, and, and what’s kind of funny is, um, back in the ’90s, uh, EPRI actually accidentally steered the technology away from its [00:02:00] core purpose, which was in 1985, um, NAVSEA, the US Navy, had done research on using current signature analysis for looking at pumps, fans, and compressors, the bearings, the belts, the components, all the rotating components using the motor as the sensor. Not too much different than we are now. I mean, mind you, we got better resolution now, we’ve got, uh, more powerful– I mean, I look at my data from the ’90s, and now it’s completely different. Um, and then Oak Ridge National Lab, same thing, bearings and gears in motor-operated valves. So in 2003, we were the first ones to apply electrical and current signature analysis to some wind turbines in the Mojave Desert. Wow. Yeah. So, um, nobody had tried it before. Everybody said it couldn’t be done. And, uh, that was a bad thing to say to me because- … it meant I was gonna get it [00:03:00] done. Right. At that time, um, we were looking at bearing issues and some blatant conditions with the, um, with the, uh, generator using a technology called Altest, ’cause I was with Altest at the time. And, uh, I had taken an EMPath software and blended it with a, a power analyzer, and they still have that tool to this day. I was using that technology all the way through 2015. 2016, I should say. And then- And then switched over to the pure EMPath, which was more of an engineering tool. And then more recently, in 2022, uh, made the decision to ha- to take all the work we’d done on over 6,000 turbines, uh, looking at how we were looking at the data and what we were doing on the industrial side, and took a, uh, created a current signature analyzer that would do one phase of current to analyze the entire powertrain. Allen Hall: So when you tell [00:04:00] operators you can do this magic, I think a lotta times they gotta go, “ Howard Penrose: What?” Oh, yeah, yeah. They don’t understand it because they’re used to vibration- Right … which is a point analysis system. Right.  Allen Hall: Vibration at this- Yeah … particular location. Yeah. One spot- Even if it’s- … or a couple  Howard Penrose: spots triax, they’re reading through material, up through a transducer. Hopefully, they put it above the bearing and not in the middle of the machine like everybody is now, because everybody’s trying to sell a sensor. Right. True. They’re not selling a- they’re not selling accuracy. They’re just selling sensors. Right. So, um- Yeah … you know, uh, I, I’ll, I’ll even talk about one of the companies here. We’ve got Onyx here, and they do it right. I mean, they’ve been doing it right pretty well because we’ve been doing some of the same towers they’re on, and we can match the data they’re getting. Oh, good. Right? Yeah. Uh, so but they get it in multiple spots, and there’s areas they can’t quite reach, so we’ll detect those areas as well. So it’s a good melding of two technologies.  Allen Hall: Oh, sure. Sure,  Howard Penrose: sure. You know what I mean? Yeah, yeah, yeah. So when you have electrical signature and you have vibration, but in [00:05:00] cases if you don’t have vibration, we’re a direct replacement.  Allen Hall: Because the generator- I  Howard Penrose: dare say that.  Allen Hall: Yeah. Whichever–  Howard Penrose: I dare say that, um, with- Well, the  Allen Hall: generator is acting as the sensor. Howard Penrose: The air gap. The air gap in the generator s- specifically, yes. Yeah. Generator, motor, transformer. Right.  Allen Hall: Yeah. So any of those- Mm-hmm … you can clamp onto, look at the current that’s on there. Everything that’s happening on the drivetrain, in the gearbox, out on the rotor- Yep … main bearings, all of that creates vibration. Creates a torque. T- a, a torque. Yeah. Yes, more exactly a torque. Yeah. And that’s seen in the generator, in the current coming out of the generator. Yes. So those signals, although minute, are still there. Yes. So if you clamp onto that current coming out of the generator, you’ll see the typical AC sine wave sitting there. But on top of that- Is all the information about how that drivetrain is doing  Howard Penrose: Absolutely, and everything else. Anything electrical comes through [00:06:00] that. So what you do is just like vibration, you do a spectral analysis. So every component has a frequency associated with it, just like vibration. It’s, as a matter of fact, I, I keep having to try to explain to people electrical and current signature analysis is no different than vibration analysis. It’s the same concept. We use the same tools. The signature looks just a little different. It’s a little noisier, um, but you need that noise in order to see everything. But we have a time waveform, and instead of, um, inches per second or millimeters per second, whatever, you know, uh, velocity, acceleration, and displacement, uh, what we end up with is decibels is the optimal method. You can look at straight voltage signatures at those points or, or current signatures, but the values are so small that you have to look at it from a logarithmic standpoint. Right. There are some benefits to it versus vibration, and there’s some things that aren’t as good as vibration. [00:07:00] So, you know, we, we do… You have to… Any technology is gonna have their strengths and weaknesses. Sure. So we will see everything all at once. Load doesn’t matter. Right. Speed doesn’t matter. It’s… Only reason speed matters is the location of the frequencies. Uh, so the higher the resolution, meaning the longer you take data, the less chance you have on a lightly lo- loaded machine of blending the peaks together. Right. Um, on the flip side, if I have two bearings turning at the exact same speed, I couldn’t tell you which one it is. Because they’re the same. Right.  Allen Hall: And the mechanical features of that bearing is w- what creates the signal that you’re measuring. Exactly. So if a bearing has five rollers versus 10, just imaginary thing. Yeah, yeah. Five rollers versus 10 has a different electrical signature, so you can determine, like, that bearing, that 10 roller bearing- Yes … has the problem, the five is fine. Yes. Yeah. That’s the magic, and I think people don’t translate the mechanical world into the electrical world. That that’s what’s [00:08:00]happening. They,  Howard Penrose: they don’t because, because what’s happening is they named it wrong.  Allen Hall: Yes.  Howard Penrose: A majority of our users are mechanical folks. Sure. Our vibration analysts and stuff like, ’cause they know how to look at the signatures. Right. Everybody tries to force it on their electrical people, and electrical people go, “We don’t know what this is.” Yeah. And it’s, it’s, it’s a matter of that training and, and, you know, in the electrical world, you’re not taught to look at that. Right. Yeah. It doesn’t matter. Mechanical world, you’re taught to look at that. So our intern, we were trying to bring in electrical engineering interns and found out that just wasn’t working. So last year, I brought in my first, uh, intern that’s, you know, he’s been with us now since I brought him in. Okay. Uh, and, uh, Amar, and, uh, you know, he’s helped us develop our vi- uh, vibration software to go along with it. Guess what? It’s the same thing. It’s the exact same sy- system Um, but we just take in a vibration signal instead. But he picked up on it immediately as a [00:09:00] third-year college student. I can take somebody with a decade as an electrical engineer with a PhD and they can’t figure it out.  Allen Hall: Well, because you’re, you’re taking real- Because it’s different. Yeah. It’s r- well, it’s real-world components-  Howard Penrose: Yeah …  Allen Hall: creating electrical signals. That’s hard- Well, you have- … to process for a lot of people. Yeah,  Howard Penrose: yeah. It’s  Allen Hall: just not  Howard Penrose: something that we do every day. But that’s… If they, i- if we sa- i- i- if you’re looking at vibration and you start looking at the sensor, it gets complicated too, ’cause guess what? It’s an electrical signal. Right. It’s, it is technically electrical signature now. It’s converting a  Allen Hall: mechanical signal- Right … into an electrical signal, which is what’s happening in the generator anyway. Yeah.  Howard Penrose: Whether it’s a piezoelectric cell that’s generating a small signal- Yeah … on top of a small waveform that you then take out, you demodulate, uh, or it’s, uh… So you take that carrier frequency out, or it’s a MEMS sensor, which is the same thing. You know, the, it just sees some slower s- It, it does more of a digital output. So you, you, you know, you have those, or you [00:10:00] have this, which just basically uses a component of the machine to, to, as its own sensor. There is one other difference between them, too, and, uh, I find this very useful when I’m going out troubleshooting something that other people can’t figure out, uh, ’cause we use all the technologies. So in this case, it would be, uh, the structural movement. Okay? So, so say I have a generator and there’s something wrong with the structure, and the whole machine is vibrating. So y- well, if I put a transducer on it, they might think that’s vibration or something else. We don’t see it. Right. We only see directly exactly what’s happening with the machine. Sure. So a lot of times when we go in to troubleshoot something that people have done vibration on and everything else, it’s been pro- a, a problem for them for years. We walk in, and all of a sudden we’re identifying whether it’s the machine or it’s something else right off the bat. Then we can take a look at the vibration data and [00:11:00] say, “Okay, it wasn’t the bearing or the bearing, um, structure. It was, you know, the mounting.” Right. It wasn’t  Allen Hall: fastened  Howard Penrose: down properly. Yeah,  Allen Hall: yeah. Right.  Howard Penrose: Go tighten that bolt. Right, exactly.  Allen Hall: Well, I mean, that’s the cheap answer. Yeah. I’d rather tighten a bolt than rip apart a motor or a generator- And, and- … every day …  Howard Penrose: and that’s the whole point. Now, there are other strengths that go with it. So for instance, on the powertrain of a wind turbine, I can tell you if you’ve lubricated the bearings correctly. Wow. Because part of what we do is we do take those electrical signatures, and we convert those over to watts. Watts is an energy conversion. Sure. So you see that as heat or some type of loss. So whatever, whatever’s being lost there is not being sent to the customer. To the outside. Right. Making money. So, um, if I’m taking a look at, say, a main bearing, I might see watts or kilowatts of losses. So you’re gonna have some ’cause you have friction, right? But when we see it increase on, say, a roller, [00:12:00] or the rollers, or, or the cage, that’s usually an indicator that I have a lubrication issue. Or if we only see it on the outer race, that means that they didn’t clear out all the old grease when they were lubricating it, ’cause the rollers then have to ride across it- Right … ’cause it dries up.  Allen Hall: Sure.  Howard Penrose: Uh, and will carry contaminants. So if you see that, you go up, clean it up, you’ll extend the life of the bearing. Absolutely you will. Without having to do a lot of work. So, uh, we, we look at our technology as more so early in the, in the stage of a condition. I don’t wanna call it failure, ’cause it’s not a failure. It’s something that’s mitigable. And I made that word up. You can mitigate it. Meaning you can go up and correct it and extend the life of that component. Sure. Uh, in gearboxes we’ll see problems with, um… Well, the, the one we’re talking about here a fair amount is all the circulating currents going on uptower. We did that research. The current signature analyzer we have is a direct result of doing wind turbine [00:13:00] research just on circulating currents uptower, ’cause we conferred everything over to, to sound at 48 kilohertz. And so that gives me a 24-kilohertz signal. That high-frequency stuff, which we’re researching in CGRE, and IEEE, and IEC, is called supra harmonics, which I– we talked about that before. Yes, we have. Yeah. And, uh, so when you start seeing that in the, in, in the current that’s circulating uptower because the ground that goes from the top of the tower down is for- DC lightning protection. And lightning protection, yeah. It’s not meant for, um- Not for  Allen Hall: high frequency- Yeah …  Howard Penrose: currents. Yeah. Uh, we, when we measured it, when we mapped out dozens of towers of all different manufacturers, we found that the impedance about halfway down the tower is where it ends. Sure. The, the resistance. And then the increased, uh, the high-frequency noise turns any of your shaft brushes into resistors. And at about 15 kilohertz, no current is [00:14:00]passing through them. It’s all passing the bearing, which becomes more conductive the higher the frequency. So with 60% of main bearings failing due to electrical currents, it’s actually currents that are circulating uptower. It’s not static. There is some static up there, but it’s not static. It’s coming from the controls, the, the generator, and everything else. Inverters,  Allen Hall: converters.  Howard Penrose: And we’ve seen up to 150 amps passing through a, through a bearing.  Allen Hall: So I– We run across a lot of operators who have been replacing main bearings, and they don’t know the reason why. Yeah. And I always say, “Well, call Howard at MotorDoc because I would almost bet you you have the f- high frequency running around uptower in the nacelle- And the next main bearing you put in there is gonna go the same way as the- Yeah … first one you put in there. Until you cut off that circulating current and then the cell, you’re just gonna continue with the problem. Then you haven’t eliminated the problem, you’re just fixing the result of that problem. Yes. But it takes- Yeah, you’re, you’re- How, [00:15:00] how, well, how long- You’re replacing  Howard Penrose: a fuse.  Allen Hall: Right, you’re replacing a fuse. Yeah. How long does it take you to s- to determine- An expensive fuse. Yeah. Yeah. Oh, yeah, ’cause you’re taking the rotor down. Yeah. Well, how, how fast can you determine if you have harmonics uptower that are gonna be causing you problems? 120 seconds.  Howard Penrose: Okay.  Allen Hall: So that’s the thing. I think a lot of- I mean,  Howard Penrose: that’s of the actual data collection time. So you clamp on uptower, uh, and then you can… Well, the way we have it set up now, you just tell it you wanna collect data every five s- uh, five minutes, and then you go downtower, let it collect its data, go back up, grab it. Um, it’s like… It’s huge. It’s this size. So, um, and then you connect- It plugs into a laptop. Yeah. Plug it into a laptop or any type of tablet. Um, it, it’s Windows now. I’m trying to get away from Windows. We’re gonna have Linux systems, uh, as well. Uh, and then you use that to, um, just collect that data, and then you press another button. Now it pops up, and it tells you if you’re in danger or not, [00:16:00] the amount of current passing through the bearing, and the frequencies all the way out.  Allen Hall: So the ideal is you’re gonna have this kit with you in the truck. Yeah. And as you see these problems pop up, you’re gonna clamp on uptower. Yep. You’re gonna measure these circulating currents, and you’re gonna know immediately if you have another mechanical issue, a, a lubrication issue- Oh, yeah. It’ll look at- … some kind of alignment issue, or- You’ll get all  Howard Penrose: of this information at once. So you- Right … if you go on the power side. So certain turbines, like anything that has the transformer downtower, you don’t have to climb. Right. GE. I mean, I don’t climb. So, uh, uh, you know, th- and that was part of the, the concept behind when we started down this path because I’ve been in the wind industry since 1997. So one of the things I always saw was, and, and we talked about even, you know, here when it was called AWEA, and we were talking always on the health and safety side about wearing out the technicians. Um, so we discovered that, you know, what was it? Almost 60% of the [00:17:00] turbines you didn’t have to climb. Right. Oh, yeah. And even the ones you do, you go up, you set it up, and it’ll tell you where you need to focus. The other thing in the powertrain, let alone the generator, when we do a sweep of a site– Now, if we do a straight electrical signature analysis, I’d term that one as a technician’s tool. Sure. That’s more of an engineer’s tool. Uh, a lot more data, a lot harder to set up. But even though I’m saying harder to set up, it’s still pretty easy. It’s still minutes. Right. Yeah. Most technicians will collect data with, like, a couple hours worth of training. Yeah. You g- You basically gather that data, and if you’re getting a site, so we’ll go out– I love going out in the field. So we’ll go out in the field, especially if it’s a tower we don’t have to climb I’ll knock out, uh, well, let’s just say I’ll, I’ll, I’ll name one. Say a GE 1.6. I’ll knock out one of those every eight to 11 minutes, depending on how you get to the tower.  Allen Hall: So that’s a full diagnosis of drivetrain- Yeah … plus anything odd happening- Yep with circulating currents and all that [00:18:00] can- Oh, no, no. Circulating- Or just- … current, that’s a- That’s a separate thing at tower … separate study that- Okay … you have to do that uptower. But anything, anything drivetrain-wise, you can be in and out- Yeah … in a couple of minutes. Yep. Okay. So there’s a lot of operators that have end-of-warranties coming up, right? Yes. There’s been a lot of developments, so they’re kind of running into the end-of-warranty, and they don’t know the health status of their drivetrain. Same thing for a lot of operators that are in- Yep … full service agreements, and they’re questioning whether they’re getting their money’s worth or not. Yes. I always say, “Call Howard at Motordoc. You guys can have a whole site survey done maybe in a couple of days, and you will know all the problems that are on site for the lowest price ever”. Yeah. It’s crazy how fast you can do it and how accurate it is. I talk to operators that use your system, so I hear you. Yeah. Your podcast, listen to your podcast, I’m calling your customers to find out what they say, and they love it. Oh, yeah. They can’t believe how accurate it is. Yeah. Well, the thing about that is we as an industry need to make sure that our turbines are operating at [00:19:00] maximum efficiency. Yep. And if a simple tool like the Motordoc EMPath system exists, we need to get customers, operators in line to start doing it worldwide. Australia- Oh … Europe-  Howard Penrose: Yeah. We- … Canada. Australia, we’re trying to get into, but right now we even have OEMs using it through North- That’s good … and South America, Asia. Good. Uh, Middle East, um, and, uh, and some of Europe. Good. So it’s, it’s, it’s really taking off. Uh, I’d say probably our biggest market right now is Brazil. Sure. They’re going crazy. Well, the, the turbines are- They’re having a lot of problems. Yeah.  Allen Hall: Right. And the, well, those turbines have a h- high usage, right? So because- Oh, yeah … the winds are so good, they’re operating at, like, capacity factor is above 50%. Yes. It’s insane. Yeah. So there’s a lot of wear and tear. There’s no downtime for those turbines.  Howard Penrose: Yeah. Well, and, and people think it’s all the starting and stopping. It’s not. No. It’s a grid-related issue. So we have- Sure … we have a low frequency. And you know some of the stuff I volun- I, I’m, I’ve been volunteered for- [00:20:00] Yeah … uh, including the CIGRE thing. Um, so I get to sit in the grid code committees for IEEE and put my, and our input into that, uh, and kind of watch the back of the IBR industry, right? Mm-hmm. ‘Cause there’s a definitely bias against our industry. Um, and I also, uh, get to hear what’s going on in the grid side of things from CIGRE worldwide, and it’s all very similar, and it has to do with low-frequency oscillating currents- Yes … called subsynchronous currents- Yes … which are low enough not to damage large synchronous machines. And they thought, and there’s books written on this, by the way, multiple books written on wind turbine impact- Uh, and they’re seeing now, um… Well, we detected it first, along with Timken. Hank, uh, and, and I went out to a site, and we detected for the first time, because of how they wanna do the testing and where the site was located, we saw the oscillating torque [00:21:00] in the air gap, ’cause that’s one of the things the technology does. It actually measures the torque, air gap torque. Sure. So we were watching the oscillating torque as a tower started up. And so we did, we went through the rest of that site looking at the same stuff in the same way. It increased our time and data collection, and time on site. But then we started looking for it at other sites, and going to pass data because I don’t have to go back and retake data. Right. And we’re like, “Oh my God. It’s everywhere.” 16 hertz, 21 hertz, and 50 hertz. And we found a paper that specifically identified that as the sub synchronous frequencies for 60 hertz. So we know what they are also for 50 hertz. Once we identified that and we saw how much the torsi- torque was oscillating, we worked with Shermco, who got us some information on Y-rings that were failing. Yeah. And they were all failing… When the metallurgy was done, they were all failing from fatigue. And you’re like, fatigue how? What’s fatiguing these connections? [00:22:00] Well, the fatigue is that air gap torque- Exactly … because you’re basically causing the, the, everything to oscillate a little bit, and that causes the windings to move slightly. It’s a living,  Allen Hall: breathing machine-  Howard Penrose: Exactly … this generator  Allen Hall: is.  Howard Penrose: Yeah.  Allen Hall: It’s not  Howard Penrose: static. It’s definitely not sta- no electric machine is static. No. Even a transformer’s not static. Right.  Allen Hall: So- There’s a little  Howard Penrose: bit of wiggle going on there all the time All the time. And it’s minute, so it takes a long time. Right. And what, uh, uh, everybody… Well, first people thought it was a particular manufacturer, which it wasn’t. Turned out every defig’s failing the same way. Sure. You’re fatiguing it. Yeah. Every bearing is failing the same way, even in the gearbox, main bearings, and everything else. Right. All of these conditions are happening across all the OEMs, but they’re not allowed to talk. Well, this is, this is the thing that  Allen Hall: I like watching your podcast.  Howard Penrose: Yeah.  Allen Hall: The Chaos and Caffeine. It comes out Saturday mornings. It’s on YouTube. If you haven’t- Yeah … clicked into it, you should click into it  Howard Penrose: because a lot of these issues are discussed there. It’s definitely, um… [00:23:00] Let’s just say I’ll speak Navy quite a bit. Allen Hall: It’s a great podcast, and I think what you’re doing with the EMPath system- Yes … at motor dock is really a game changer. Yeah. I’m talking to everybody, all the operators I know. I keep telling them to call you and to try the system out because it’s so inexpensive and it does the work quickly and efficiently, and it’s been proven. There’s no messing- Oh, yeah … around when you’re talking to MotorDoc. I…  Howard Penrose: Somebody dared tell me that there’s no standard for it. There’s ISO standards for it. Yes. There’s IEEE 1415- Yes … which I chair. Uh, and there’s other standards coming out- This is- … associated with it. And there’s a document that I also chair for Sea Gray- Called A178, which is the practical application of the technology. So it’s well-documented. There are traceable standards for it. I need more  Allen Hall: operators to call you- Yeah … and to talk to you and get systems in the back of the trucks that they can use to check out the health of their gear boxes and their drive trains and their generators. How [00:24:00] do they do that? Where do they go? Where, where’s, what’s- Well- … the first place they should look for?  Howard Penrose: Uh, info@motordoc.com. Okay. I get all, I get all of those as well, so do my people. Um, or, uh, LinkedIn. LinkedIn’s really good.  Allen Hall: Look up anything. Yeah.  Howard Penrose: Yeah, yeah. So, so either the company at Motordoc, or, uh, I’m, I sh- I’ll show up either searching for my name or, uh, linkedin.com/in/motordoc. Come straight to me ’cause I’ve been in, on LinkedIn forever, so- Right, just- … I got to do that … look up  Allen Hall: Howard Penrose, P-E-N-R-O-S-E. Yep. Or go to motordoc.com is- Yep, motordoc.com … the website address.  Howard Penrose: Yep. There’s a lot of great information there. And we have partners, and we have people. We’re growing the company. You know, talk to me. I, I’ll- Yes … I like answering the phone and talking. It’s, it’s a thing. My people go, “Can we answer the phone one?” No. Um, but, but yeah, we, we, y- when you call us, you’re not just dealing with a single person. Right. The Motordoc is far more expansive. Right now, we [00:25:00] just got our partnership with, uh, Hitachi and, and Juliet- Yeah, that’s great and stuff like that. Uh, we’re helping them with certain things. Uh, we’re partnered with some of the big OEMs, almost all of them, um, you know, helping identify the issues, you know. And, and when users contact us, often they’ll tell us what’s going on, and we’ll, we can, uh, sometimes say, “Yeah, it’s this, and here’s how we prove it.” Allen Hall: Yeah. That’s the, that’s the beauty- Yeah … of calling Motordoc. So I need my operators that, that watch the show- Yeah … worldwide, go online, go on LinkedIn, get ahold of Howard, get ahold of Motordoc, and get started. Yep. Howard, thank you- And- … so much for being on the podcast. Yeah. This is fantastic. I love talking to you because- it’s, it’s like talking to, you know… Uh, no, really, it’s talking like someone who’s a real good industry expert, who’s been there a long time, and understands- Yeah … how this  [00:26:00] works.

Topics covered in this episode: OpenAI's Python SDK has migrated to HTTPX2 TMOG - Native Task Manager for macOS, Windows, and Linux wrapture - one wrapper for mocking, tracing, and observability linkedin2md: turn your LinkedIn export into 40+ Markdown files Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Consulting from Six Feet Up Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Calvin #1: OpenAI's Python SDK has migrated to HTTPX2 The OpenAI Python SDK has migrated to HTTPX2, the Pydantic-stewarded fork of httpx. Pydantic picked it up citing "limited activity recently" in the original project, promising "a reliably maintained path forward." If you just use the default client, nothing to do. No code changes. The catch is TLS. Quoting the guide: HTTPX "previously verified certificates against the CA bundle provided by certifi. HTTPX2 instead uses the operating-system trust store, and the SDK no longer installs certifi." That "can break certificate verification in minimal container images without system CA certificates, environments using corporate TLS-inspecting proxies, and deployments that relied on a custom or modified certifi bundle." The fix is SSL_CERT_FILE or SSL_CERT_DIR, or pass your own ssl.SSLContext via verify. Deeper integrations need real edits: custom clients, auth handlers, hooks, and request mocking all take HTTPX2 objects now, and plain httpx is no longer pulled in transitively. So import httpx in your own code means declaring it yourself or moving over. Temporary escape hatch: a legacy HTTPX client Michael #2: TMOG - Native Task Manager for macOS, Windows, and Linux A native, deeply instrumented system monitor for macOS, Windows, and Linux, now in public beta - from Plummers' Software, i.e. Dave Plummer, who wrote the original Windows Task Manager and donated it to Microsoft in 1995. Wikipedia Three real native apps: Swift/AppKit on macOS, Win32 on Windows, C++/Qt 6 on Linux, with a shared C++ core keeping metric semantics aligned - no browser shell anywhere. One dense summary: CPU, clocks, thermals, GPU, memory, storage, network, energy, and the processes responsible for the load, all click-through. Per-core honesty: logical processor and NUMA views, P and E cores color-coded, optional kernel time, 60 FPS live meters. Memory with context: pressure, wired, compressed, cached, committed, available, and swap, plus configurable scrolling history. Processes that act like processes: tree view, filtering, sorting, follow mode, and native verbs including service and launchd control. Phosphor themes: light, dark, green, amber, blue, or mono, with color and saturation you tune yourself. Calvin #3: wrapture - one wrapper for mocking, tracing, and observability Graham Dumpleton, author of wrapt and the original New Relic Python agent, has released wrapture. The name is wrapt plus capture. The core idea: wrap real code instead of replacing it, so the real code still runs while you watch every call. Name a method with wrapture.binding(Class, "method"), open a timeline(), and you get a tape of what actually happened. Real return values, real nesting, arguments normalised against real signatures. tape.tree() prints the call graph as it ran. One mechanism, three jobs: monkey patching with a real lifecycle (apply, remove, suspend, plus returns, raises, transforms_args), unit testing that asserts on real call flow instead of a flat MagicMock call list, and ad-hoc tracing of a running app. The testing pitch is error paths. Inject TimeoutError at the payment gateway, then assert the ledger was never written. Stubs and mocks are strict and spec-required, and there is deliberately no bare Mock(). Tracing needs no code at all. A wrapture.toml naming targets and a sink, run with python -m wrapture main.py, and you get a live call tree with timings. It captures ordinary logging calls as nested events, and with the otel extra it exports spans, metrics and correlated logs with W3C trace ids that join across services. Every line of code and docs was AI-written under their direction, and they say so up front. Two weeks from first commit, eleventh alpha, over 1000 tests, 150+ pages of docs. Alpha on PyPI, needs Python 3.12+ and wrapt 2.4.0+. Michael #4: linkedin2md: turn your LinkedIn export into 40+ Markdown files Via Juan Manuel Daza - a Python CLI that unpacks LinkedIn's data-export ZIP into clean, per-category Markdown you can drop straight into an LLM. One command: linkedin2md Complete_LinkedInDataExport.zip, plus o for output dir, -lang en|es, and -pdf. 40+ output files: profile, experience, education, skills, connections, posts, comments, reactions, recommendations, endorsements, job applications, even ad targeting and LinkedIn's inferences about you. Built for LLM analysis: the README pitches NotebookLM, Claude Projects, Obsidian, and Ollama, with example prompts like "what patterns do you see in my career transitions?" PDF resume mode: -pdf renders an A4 CV via weasyprint, and degrades gracefully to Markdown-only if it isn't installed. Dependency note: "pure Python / zero-dep" holds for the Markdown path only - the PDF path needs weasyprint and markdown installed. Install: pipx install linkedin2md recommended, pip in a venv otherwise - 86% Python, 10 releases, v0.3.1 in May. Agentic dev angle: repo ships opencode config and an N3RV subagent pipeline, including a "judgment day" dual-model adversarial PR review. Extras Calvin: EVE Online Migrates to Python 3 Michael: Dinkus by Will McGugan Joke: Tao of Programming: Book 5 Maintenance

In June, the most capable American AI models stopped shipping as public launches and started shipping through a government gate. Six weeks later the gate is open again — and the real fight has moved to the layer no gate can touch. A Chinese open-weight model rattled trillions out of chip stocks, Washington pivoted from gating American closed models to threatening bans on Chinese open ones, the industry mounted its largest-ever policy counter-mobilization, and an American frontier model literally broke out of its lab and hacked another company. Knee-jerk reactions, or the beginning of real AI governance? Navigation: Intro The Gate Opens The Kimi Shock The Escape The Counterstrike and the Petition Interlude — The Low-Background Books The Investor Reckoning Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Bertrand Introduction Welcome to Tech Deciphered Episode 80. This one, once again, will be all about AI, government, frontier models, and open weight counterstrike. A lot has been happening in the regulation space, in cybersecurity, in the launch of new models in the past, maybe just 6–8 weeks. It’s actually pretty insane how much happened. We believe it was time to do an episode to talk about where we are and maybe where all of this is going. Maybe let’s start with a summary of where we stand, all that June and July saga, so you, our listeners, can get up to speed if you are not already there. You want to start with some points? Nuno The Gate Opens Yeah. Again, to your point, the gate swings. The gate had closed. We had to prepare an episode for the gate closing, and then the gate reopened. Now we have a different episode. This will probably change again as we’re seeing there’s news every day. Let’s start maybe with the first 19 days of the gate closing. There was an executive order on June 2nd from President Trump that asked frontier labs to share models with the government, 30 days pre-release. It inferred the protected frontier model designation into that. Basically, it was effectively a de facto licensing agreement defined by an executive order of the President as of June 2nd. On June 9th, Anthropic launched Fable 5 and the famous Mythos 5 or Mythos. I’m not sure how you actually say it in English. Then on June 12th, there was an export control directive banning access by any foreign national. Since there’s no way to verify nationality in real-time, Anthropic had to switch the models off for everyone worldwide. Bertrand On this point, you could argue that there are possibilities to check IDs. Many services let you check IDs online. You can pre-check a flight by showing your ID. There are ways, it’s just that if you don’t want to follow what’s already available, because guess what? Maybe it slowed down your revenue growth, maybe it looks bad on you or whatever. My point is that there was actually an option. I think it’s already a decision from Anthropic to say it’s either on or off, but nothing in between. Nuno I think the point is they had no way implemented of doing it. If they implemented it, to your point, it would have hampered use in general. A lot of people wouldn’t have gone through that trouble of doing it. Anyway, long story short, in June 26th, the White House apparently asked OpenAI to limit GPT-5.6, so Sol, Terra, Luna, to only 20 vetted partners. Now, apparently, the trigger for a lot of these things that have been going on was that there was a jailbreak that was found by Amazon researchers. All of that led to this jumping around of, let’s close the gates. You have foreign nationals, and therefore, Anthropic got it out and said, “Hey, then we’re going to switch the models off until we can sort this out.” OpenAI was asked also to only allow it for certain vetted partners, et cetera. The government came in, closed the gates effectively, and said, “From now on, we need to be involved in this thing.” De facto regulation, there’s no doubt that this has imposed de facto regulation, certainly on the top players in the market. But then came the reversal. Bertrand, do you want to talk about the reversal, the gate swinging the other side? Bertrand Maybe I just wanted to say that as a user of Anthropic products, ChatGPT products, for the brief moments, a few days where Fable 5 was made available to the public before it was closed the first time, I immediately started using it. I must say it was a real issue to use it because the guardrails were pretty crazy. It would keep saying that my code was not okay, there was cybersecurity risk and stuff when I was doing absolutely reasonable development with absolutely no connection whatsoever to any cybersecurity risk, attack, detection, anything. Still, it would keep blocking me, degrading me to Opus 4.8 at the time. I just want to say this was already very hardcore what they were implementing, and not just hardcore, but in some ways, plain stupid for something that’s supposed to be super smart. It was totally unable to classify properly some of my work. I must say I was already disappointed. On top of it, the costs were insane. Half a day, I would reach my limits when I had the best plan you can get from Anthropic. My point is that there were some real serious issues when they launched Fable 5, even at that point. Nuno I had a similar issue. I used Fable 5 as well before they had to take it offline or take it off. I think the issue was really not that the guardrails failed. As you said, maybe the guardrails were actually too aggressive, but it was this jailbreak that caused the recall, apparently caused this knee-jerk reaction. Bertrand But my point is that it seems that it was not working either way. It would either overclassify something that’s absolutely not doing anything wrong, and it might fail to classify something that is actively trying to do some cybersecurity work. It’s a real issue of quality for a company that’s supposed to be at the forefront of quality of AI and everything. I think for me, there are already signs that something is deeply wrong. Nuno Then it’s reversed, right? We went the other way around. The government came out on June 26th and approved redeploying Mythos 5 to US organizations defending critical infrastructure, and then the export controls were effectively lifted on June 30th. July 1st, Fable 5 came back online for all of us to use. Shocking enough, with strings attached, that were different. They had some time to revise their commercial deployment of it along the way because it came back with some, “Now you have usage credits, but you have some limits on plan use, et cetera.” I’m like, “You guys, this was blocked. But meanwhile, you did have some time to do some commercial stuff around it.” Bertrand It was crazy. I’ve never witnessed any such crappy launch of any service whatsoever in 30 years in tech, it was so bad. Every day, they would change the terms of service. They would tell you it’s part of the plan. It’s not part of the plan. It’s part of the plan for three more days, and then it’s excluded. You have a special discount now, but then it goes back to full price. It was a total nightmare. I’ve never felt myself being so much mistreated by a company. I guess you saw the same, but when I started using the newest version of Fable 5, it was even worse, actually, I think. I couldn’t do any work with this crap. I let it go and work on the work I wanted it to do. It was simply not working. On top of it, you never know how long you are supposed to lose your credit, how fast. It was burning credit like crazy. Me, personally, I can say, very quickly, I actually stopped using it. I was like, “No, I cannot deal with this shit. My main model is back to Opus 4.8. I’m going to use Fable 5 for code review, but not anymore to control anything because I cannot trust it would do the job without stopping or changing models and stuff. I just cannot trust it.” Back to Opus 4.8 as my main model, I can say that my life was much easier. I use Fable 5 as a review mechanism, as a support mechanism, but not as the main mechanism. Suddenly, the guardrails were not so horrible anymore because it was used in a much lighter way, I guess. As a pain as a user, I think it was really bad. I don’t know your experience, but me, for me, it was unacceptable. Nuno I wouldn’t say it was as bad as yours in terms of just end-user experience. I think the terms of service switching back and forth, which went one further step, because then when they then launched Opus 5, they started making comparisons between Opus 5 and Fable so that people would migrate more and more to Opus 5 themselves, which is interesting. It’s like they’re saying “This is much cheaper. This is whatever. You’re not going to run of credits. You should use Opus 5,” kind of thing effectively. To your point, I don’t think they managed well the launch. They didn’t really manage it well. We’re moving people around. A lot of people are using this for stuff that’s like daily tasks, hourly tasks, anything that relates to code and co-work. It’s like, we need to have visibility on what your terms of service are going to be. Should I be using this new model or not? What’s happening to the other model? I don’t see it as negatively as you, Bertrand, but I see your point. It was clearly mishandled in terms of how they deployed it, how they were redesigning effectively their pricing scheme and their terms of service almost on a daily basis, at a certain point in time. We’re like, “Dude, there’s millions of people using this. You guys are making a lot of money.” Just moving it as it is. At this point in time, at the scale that these guys are at, it’s calling in people to say, how about we think through a class action suit at some point around pricing? Because you guys are changing the rules of the game all the time, right? Bertrand I don’t know if I need the class action, but for me, that joke that, “Let’s not rush too fast. The model is dangerous.” But still, they rushed the launch because it’s very clear that if they had enough compute capacity and stuff, they would not have to limit so much. They would not have to put so much cost per token and all of this. You can see that actually when they launch Opus 5, literally like 2, 3 weeks after, by most benchmark at launch, they tell you basically that, “You know what? Actually, Opus 5 is better than Fable 5 on 80% of the metrics.” They’re like, “What? Seriously? You couldn’t wait 2 weeks? Why did you even launch Fable 5 in the first place?” That’s another part for me that is quite literally insane, to be frank. It’s like, “Why? Why do you make us go through so much pain if it’s only to tell us after 2 weeks to…” “This new model, by the way, has less issues, less stuff, because 2, 3 times less is part of your plan, and it’s actually better by most metrics.” It’s like, “What’s going on here? What’s going on? Are you guys mad?” I don’t know. It was crazy. Personally, I still use Opus, now 5, as my main system and platform, Fable 5 for review, code reviews and the like. I don’t want to run into its stupid guardrails. I can see Fable 5, from my perspective, seems quite a bit smarter. I don’t know why they do this stupid benchmark showing you it’s actually worse than Opus 5. I guess they should have better benchmark if they want to demonstrate why you are supposed to pay 2, 3x more for a model versus another if it’s actually worse by most benchmark. Again, I still think it’s a huge mess from a marketing perspective, customer perspective. Me as a user, I really feel that they don’t want my money, and they couldn’t care less about me. This is even before everything else we’re trying to talk about. Nuno Yes. Maybe just to close the cycle on the reversal on the door opening the other way, finally, Commerce lifted the GPT-5.6 restrictions on July 8th, and then on July 9th, general availability across ChatGPT, Codex, and the API as well. What has this proved? It proved that now we have gating mechanisms, and certainly for closed models in the US, for sure. We had frontier models that were switched off worldwide in hours, and it took a couple of days, in this case, 19 days to restore them. There were concessions. Now we know that there were concessions around effectively institutionalizing that gate. Early government access to future models is, I think, now a given, certainly in the US. New safeguard frameworks are probably now having to be put in place. There are some stage limits now on who gets access to what for new models and how it happens. This voluntary executive order, so to speak, not really sure, has become effectively regulation enforcement path. It’s de facto regulation that now has been put in place. It has affected not just to the points we were making before, the access to these models, but also who gets access to these models, and actually potentially even pricing access to the models. It has probably some commercial implications as well as we just discussed along the way. Very significant. This is very significant. This is regulation, de facto at the table, imposed on the two largest players in the market by far by one government, in this case, the US government. This is significant. Actually, you could even allege it was imposed by the President because this was coming as part of executive orders. Really incredible. Pretty significant, fast, aggressive. It has created a regime that you could say it’s a regulatory regime, it’s a de facto regulatory regime. It has some significant pricing and licensing and commercial implications. It goes even beyond your classic regulatory framework. Very, very, very significant. Bertrand I don’t know if it goes beyond a classic regulatory framework. Nuno I think it does, because it has implications on who do you give access to? When government is saying you can only give access to these players, right? Bertrand Defense industry. It’s all over the defense industry. You cannot sell an F-35 like this. Nuno No, but that has commercial implications, Bertrand. That’s like you’re saying these are your customers, you go and use them. Bertrand That’s the defense industry. You cannot sell to Iran your F-35. No, that’s exactly the same story for me. Nuno No, no, no. It’s beyond that. These guys are saying when they came back, and they said, “For Mythos, you can make them available to these entities,” they were saying the first entities that are going to have access to the model. It has commercial regulatory implications. You’re saying these players are the first players that are going to have access to it. It’s no longer just defense concerns and these governments don’t have access to this. No, no, no. You’re saying to a company that is a private company, your models are only going to be used by these guys because I’m telling you so. It’s the other way around. It’s not even that you can’t sell it to Iran or whatever. It’s like you can only sell it to these guys. Bertrand Again, in the defense industry, if you’re a private company, do you think you can buy F-35 like this? No. Nuno No, no, no. But this is a private company, Bertrand. This is not a defense agency and a plane that is on whatever, with IP from the US, right? Bertrand Boeing is a private company, and they cannot sell the military equipment they manufacture. Nuno No, no, no. But the development of their IP was subsidized by agencies that belong to the US, right? That’s a different matter. It’s a matter of IP, right? This is not, right? Anthropic, their models are not owned by the US government. There’s no IP granted to the US government, to my knowledge. This has significant commercial implications. Bertrand Maybe, yes. Maybe on this. But I think there are already regimes to limit who you can sell to, and that’s decided by the state or the DOD. Nuno It’s the export control logic. The export control logic? Bertrand You have export control, and export control is Commerce. My point is that they are using existing tools, part of the government, to limit what can be sold. Selling chips, NVIDIA was limited in terms of where it could sell its chips. It’s not different either, but still there were limitations. If you are an ASML, you cannot sell to a private company in China. Many private companies cannot buy ASML products. This is a foreign company. This is a foreign company under pressure from US government. Nuno I understand, and I’m not a lawyer, but it feels different to me when you say you cannot export, this is export controls, to these countries, to these entities, et cetera, because they’re foreign et cetera. Then to say, “No, no, no. On top of that, these guys get first access.” That’s, for me, a significant shift. Again, I’m not a lawyer, so I’m sure there’s very intelligent people right now looking at this stuff and saying, “You can’t do this stuff, or not, or they can.” I don’t know. But it feels to me, it goes beyond the remit of export controls. It’s like you’re defining initial clients for specific use. Bertrand My impression is more like, “We can do this situation where we’re going to forbid you to give access to anyone outside the US or even in the US or limit even more.” Basically, it was, I guess, some gesture to go beyond that. That’s how they probably defined these 20 authorized companies. I don’t know. Apparently, there was also restrictions because I remember seeing that Anthropic had their own list of companies they would authorize access to Mythos early on. That’s apparently another thing that pissed off state government because there were companies in there that were considered close to the Chinese government. They were extremely unhappy that Anthropic didn’t ask, actually, for any guidance from the state government, but used basically their own perspective on who they should allow or not. I guess that was also part of why they got these serious restrictions. Nuno Anyway, now we have a regulatory environment that’s very interesting and exciting. Talk about the US not regulating. Bertrand To be clear, I don’t know you, but I’m not saying that I agree with any of this, to be very clear. I’m trying to explain and share some perspective, but I’m not in agreement on a lot of this. Nuno Yes, we were just describing what happened to the best of our knowledge. We’re having a discussion on what we think actually is happening and how it’s happening. We’re not really right now saying we agree or disagree with this. I think later in the episode, we can share some perspectives on what we think is actually happening and how there’s dimensions to this which are very geopolitical and very complex, which quite literally probably only God knows what’s going to happen. That was the gate swinging. There was a gate closing, then there was a gate reopening, and all of a sudden we have a gatekeeping system that has been created along the way. The Kimi Shock Along the way, moving to our Act 2, the world has changed, and we now have so-called open-source plays out there that are creating massive, massive shifts in the market. The Chinese models, in particular, with Moonshot AI launching Kimi K3, which is the largest open-weight model ever released. We’ll come back to the discussion around open-weights. I’m not sure all our listeners understand what that means, because there’s a debate now, should models be open weight or not, and how does that work? There’s been a petition as well signed along the way. Right now, we have open weight models that are out there that are huge. What that actually means very pragmatically is we now have open source models, lack of a better word. I know open weight and open source are not the same thing. You guys will have to bear with us during this episode. We’ll explain at some point the differences. But we have models out there that are open source that are significant. That are catching up with the closed source models, with the models by OpenAI, Anthropic. That’s significant because most of those models are Chinese. This is where the geopolitics starts getting really frazzling and we start playing 3D chess. Because everyone’s like, “These models are 5, 6 months behind.” Now people are saying, “Maybe they’re actually just 3 months behind, 2, 3 months behind.” If we, for example, decided to stop or slow down our model releases in the US by the closed source guys who are leading, it might mean they’ll catch up. What are the implications of that? Again, for you and I that are not necessarily experts in model development, well, the implications as a use case is if you want to use the latest models, and the best models start becoming these open source models, you’re going to use those models. Then you start using Chinese models. If you’re an American company, maybe you’ll have restrictions on the use of those Chinese models. But if you’re a European company, you probably won’t. What happens after that? Is the world going to be in the hand of Chinese models? Will that constitute effective competition to the closed models in the US? Will we have open models in the US that will scale as well? What’s going to happen? Bertrand I think it’s a really big question. It goes to some of the core of the issue. It’s that ability of Chinese models to basically challenge frontier models, not just being 6, 12 months late, but being 6 weeks late. Basically, no gap. Some will say that, yes, but OpenAI and Anthropic have even better models that are not shared and stuff. Yes, sure. But maybe the Chinese have the same models that they are not sharing right now. We don’t know. What is clear is that one is that open weight, as you said, two, there is a question of how it is marketed in the sense of, can anyone use these weights? Is there a license to use them? Yes, what we can see is that, for instance, typically there is a license for some of the biggest Chinese open-weight models you have to abide with. You might have a need for a commercial license if you are acting as a company leveraging this model to provide AI-informed services. If you use it internally by yourself, you’re okay. If you use it internally for your own internal company needs, maybe you are okay if it’s not your main business to do AI work. Anything else, a much bigger corporate providing AI services and stuff, you will probably end up having to pay a fee to be able to provide services around this model. My point is that it’s not just 100% free. Some of the Chinese models are 100% free to use, MIT license, Apache 2.0 license. But the biggest ones with the biggest weight that are truly frontier typically have a different license if you want to scale these models, providing AI in front. That’s one thing to keep in mind. Nuno Maybe just to make a very quick point, because people are like, when you talk about open models, what does it mean right now? In the context of this episode, open models mostly will mean open-weight models. How do those differ from open source? Open weight means that you release the weights to the public, which means that anyone can download, fine-tune, and run the model on their own hardware. It doesn’t normally mean that you also have access to training data, training code, or a truly open license. That’s the distinction to open source. Open-weight doesn’t mean that. For example, we’ve talked about Meta’s Llama in the past, and we also discussed in the past that their license agreement does have restrictions, certain players can’t use it, et cetera. The open model definition and open weights are really open-weight models that we’re talking about here, and they are closer to freeware binaries than to Linux, for those who understand the difference between that. It’s binaries that you can use and then use your own weights on it versus actually I can change code on it. I’m not going to be able to change code on this. When we, for the purposes of this episode, talk about open, we mention open weight, just to clarify that point to everyone that’s listening right now. Bertrand Yes, that’s a great point. One of the only players, as far as I know, who is truly open source is actually NVIDIA with their Nemotron-3 models. They’re actually following a special license to achieve that. They provide you the data, they provide you all the processes and tools, so you can easily post-train. NVIDIA is a big, big exception. It’s a very interesting player, by the way. We might not talk much about it in this episode, but I think for intermediate-size models built in the US, where you have access to everything in the deployment, it’s a very interesting alternative and maybe one of the best choices if you are a US company or a big corporate, and you want something trusted. Another piece of the puzzle to clarify is that when you use open-weight, it means that you can run them by yourself, or you can use a US provider to run them. If we are talking about Chinese open-weight, you can use the APIs they provide, but then the service is running in China, they might have access to your data. But because it’s open weight, if you run it by yourself or if you use a third-party provider based in the US to run it, then there is no access to your data by China or Chinese players. I think that’s a pretty important gap to understand. It means that these models are actually very, very low risk from that perspective if you run them on your premises or in the US by a US player. I think that’s something to keep in mind. You can also fine-tune easily these models to make sure they will behave in a way that, for instance, is not going to represent the line of the Communist Party on some topics. There are ways to make these models more neutral in their output as well. There are a lot of ways to make good use of them. By default, they’re already very safe, but you can make them even more safe. I think that’s some things to keep in mind. But again, it depends ultimately on the license and what you’re authorized to do and some fees you might end up having to pay. Nuno Why did this matter so much? Immediately there was a reaction from the market because people are like, well, if there’s much better stuff out there that’s much more efficient than it’s open, then it might be that all the demand that we are taking into account, for example, for chipsets actually isn’t real. The Philadelphia Semiconductor Index fell into bear market territory. It went down by as much as 20% plus from the late June peak. The worst chip week since April 2025. Taiwan’s benchmark initially fell 6% plus, Japan’s 4%, TSMC dropped dramatically despite beating earnings and rising guidance. Basically, a huge amount of effect. Now, there’s a little bit the aftermath of this where apparently Moonshot ran out of GPU capacity. Maybe… Bertrand In just 48 hours. Nuno In 48 hours. Great for them, but at the same time, not great in the sense that maybe there was a misread by Wall Street of the Kimi effect, so to speak. Bertrand Completely. For me, that’s such a joke. It’s like, because you have an open source model, so what? I mean, you still need to run it. This is not a small one. 2.8 trillion parameters. Good luck running that in your garage, by the way. Nuno They misread supply, basically. Tough luck, right? All of that basically happens. Bertrand Maybe you want to talk about the Jevons paradox, because I think that’s a big part of the puzzle as well. Its one is they might not have the GPUs to run the inference on the model. They might have enough to build a model, but not enough these days to run inference, especially given how much with intelligent models, thinking models, you need way more inference than before. But on top of it, the cheaper you make it, the more you get to the Jevons paradox. Nuno Yes, Jevons paradox, for those who don’t know, is an economic term. It describes an economic phenomenon where technological improvements that increase the efficiency of a resource lead to an increase rather than a decrease in the total consumption of that resource. What that means is, for example, for chipsets, chipsets become so much better, and they are so much more efficient. You’re like, well, maybe normally in resource terms, that leads to decreased usage of that resource. But in this case, it actually leads to an increased use of that resource rather than a decrease. There’s more and more consumption of that resource. You need more and more chipsets because people actually need to do more and more stuff with it, although there are great efficiencies going into it. There’s the efficiency gain, there’s the cost reduction, and there’s the price-elasticity element to it. But basically, the adoption just continues going through the roof along the way. Bertrand In some ways, it’s like the price of energy. Coal went cheaper and cheaper, and people were asking the same question 150 years ago, now that it gets cheaper, there is not much money. No, no. Actually, what happens is that people find more and more use for coal. Homes are getting heated more. You have ships now using coal. You have manufacturing using coal. The cheaper it gets, the more use case you can develop, and therefore, you don’t need less of the stuff, you need more of the stuff. By going at scale to get more of the stuff, you also decrease price, making even more demand. It’s a very interesting phenomenon, but it’s not new. It is what happened for a while in the energy sector and some other sectors. Nuno We already started talking about the Chinese logic and what’s happening. Getting a little bit of a reality check on this. The Chinese models, and these are numbers from Open Router in July, Chinese models are at 46.4% of routed tokens and 35.7% for US origin. Again, more than a third of global AI usage now seems to be running on Chinese open models. This is significant, and it has a huge impact on the geopolitical scale of everything that’s happening. Also, the whole Chinese field is converging on open. Open seems to be a strategy, not just a nice thing that’s happening. It seems to be a Chinese strategy, so much so that you have players like Moonshot, DeepSeek, our old friends DeepSeek, Z.ai’s GLM 5.2, Minimax, and even Alibaba seems to be reversing and going open with Qwen. It feels to me this is becoming policy as well. Xi Jinping has personally endorsed the building of open-source AI, if it’s really open source, if it’s just open weight anyway, and this feels to be a jab at Washington, DC and the fact that the big closed models are coming from the US. This is now geopolitical 4D chess, right? We didn’t need this stuff. Bertrand To be clear, it’s the usual in tech. If you are not number one, you are number two, number three, your alternative is to go open source because that’s another angle that your competitor usually cannot follow without destroying its own business model. That has been the alternative for the past 20 years of most software projects. Here, what’s different is that it’s not the number one or number two player. It’s the US number one as a country, China number two as a country. That’s where it’s new. For me, what’s very interesting is the endorsement by Xi Jinping. I was waiting for something official, and it certainly didn’t disappoint. As you said, there was an immediate U-turn of Alibaba, who in the past… Nuno Surprisingly. Bertrand Yes, a little more like, “yes, we are going to close and stop open source. It was good while it lasted.” Just a few days ago, Qwen 3.8 Max was launched, and we are supposed to get the weight in a few days. We talk about the US administration policy and stuff. Yes, let’s not forget that in China there is similar stuff. Sometimes it’s totally invisible because you don’t see the directives, but they exist as much. Sometimes it’s more visible. Here it was quite visible. The difference in China is that if you don’t abide by the directive, on top of it, you might have to fear for your personal safety. It’s a different game, and that’s probably why the reaction is pretty quick, usually. That’s pretty interesting for me because it means that now you can bet for a while that China is going to play that game up to a point. I guess the point is if it’s truly frontier scale, you will have a special license that, yes, technically the weights are open, but you can not do everything you want with it. Two, you have a player like NVIDIA that I think will feel more pressure to provide even more high quality, larger models at scale going forward. Their largest Nemotron-3 Ultra model was, if I remember well, only around 500 billion parameters. I would not be surprised for NVIDIA to go into the two, three trillion range at some point. Because I think the US need a very clear US-born alternative open source. I think NVIDIA might be the best player for that. We will see if Meta goes back to open source. I think NVIDIA is one, very well positioned, but two, it’s also in their best interest. Because NVIDIA for now depends on just a few big hyperscalers as clients. If they can expand their clients to every S&P 500 companies, selling them directly hardware because now these companies can run a model made by NVIDIA, I think there is a very clear value proposition for NVIDIA to go in that space. Again, if you are number two, your differentiation, open source is often the answer. There is a true business as a business model for companies, because if it’s truly not just open weight, but open source, you can tweak it as much as you want, you can change it, you can change even the pre-training process. Because there is a lot of stuff you can do that really benefits you as a corporate, and you can reach a much better value by having more control on the model. Nuno We won’t spend a ton of time on it today, but like, again, if there’s a view that we are in a bubble, that the valuations cannot be sustained in chipsets, infrastructure platforms, applied AI, et cetera, today, this might be that beginning, where the valuations start being destroyed because you can’t keep a premium on just charging people for tokens and all that stuff if you have models that become more and more efficient and cheaper to use. Maybe just to close a little bit the geopolitical part of the discussion today, we won’t go into all the announcements from China because there were many, a lot of go back and forth with Alibaba by then. Xi Jinping made some announcements. You guys can check it online. Let’s move quickly to Washington’s reaction, which was from gating the US closed models to banning the Chinese open ones. There’s been as strong affirmations as one can get from the Office of Science and Technology Policy Director, Michael Kratzios, mentioning that they have information that Moonshot AI distilled Anthropic’s Fable. Basically, there’s been reverse engineering and stuff in the market. They’re basically copying. Bertrand I’m sorry to interrupt, but it feels like so much bullshit. It’s coming from Anthropic who has basically gotten access at scale to all the knowledge made by humanity, copyrighted or not. We’ll talk more about what they did with books. Then to claim after that that others cannot do to you what you did to everybody else. For me, it’s pretty big. It’s clearly unacceptable. The other piece is that everyone is doing distillation. It’s a very typical approach of every business model. You try other software when you are competing with somebody else. You try other datasets, you check what’s happening. It’s part of doing business for decades. Suddenly it’s not good for Anthropic. I personally have a lot of trouble to accept that. I think it’s totally unacceptable. The other piece of the puzzle will also go back. If these guys are so smart, if these guys have so much of the best model, why can’t they block by themselves distillation at scale? The only answer is that either they are morons, probably not, or they simply don’t want to because it’s going towards their business model. Suddenly, you book less revenues and stuff, or you put more friction, and therefore your customers don’t like it. Instead of doing it yourself, you ask the government to protect you, go out of business practice that is very typical. For me, it’s really, really, really not good. Sorry, we are going more in the opinion side, but I had to put that on the table. Nuno Yes, Fable went public finally again on July first. Question marks on whether distillation would only be possible from July first onwards or not. But a 15-day distillation to frontier, which is K3, launched on July 15th, would have been a Guinness World Record, as one of Moonshot employees actually mentioned. It’s very implausible and unlikely. Bertrand Or they shared the Mythos 5 with the wrong companies, who themselves shared with Chinese companies. We go back to maybe they didn’t have a good list. Again, it goes back to maybe they didn’t want to hurt their business model. Nuno Anyway, under the threat of sanctions, Moonshot, in any case, open-sourced the full K3 weights and technical reports. They open weighted it to become the largest open weight model in the world in terms of parameters. Beijing’s MOFCOM brands US threats as basically the US wanting to fundamentally control and be monopolistic around AI along the way. The administration bans Chinese hardware with an eye on the AI race, and Beijing warns of retaliation. That was July 27. Now we’re in a war between Beijing and DC. Bertrand Just to finish maybe on China, it’s important to know that they are building their own GPUs now. Huawei has pretty good, not to NVIDIA level, but pretty decent GPU hardware that they’re able to manufacture by themselves. A Chinese player of memory just got IPO’d a few days ago, CXMT. China is also developing their own memory. Again, not to the same level of quality that you can get from the West. But China is moving. It’s not just that they are building great models, it’s also that they are building GPUs and memory. That might be a few years late to the latest standards in the West, but there are definitely improvements. I also read, even on the tools to make manufacturing like ASML equivalent, there is definitely some work going on, and some improvements and some stuff will be visible. In some ways, the genie starts to get out of the bottle from the Chinese perspective. Nuno I’ll put a stick on the ground. I don’t think it’s a matter of if, it’s a matter of when will China surpass and have a lot of this tooling on their own side, and not just the software layer, not just the frontier models. I think it’s also going to be around infrastructure and platform. Good luck to everyone. Let’s see how the race continues. But it’s definitely this is a geopolitical thing right now. It’s definitely a race. The Escape Maybe moving to what happened in just 2 weeks or a week and a half. The escape, there was some jailbreaking going on, and the narrative on safety has totally switched. It’s not still significant enough that’s like, “Oh, we saw a nuclear plant going, whatever.” No. But still, it is significant. Hugging Face, the AI company, disclosed an intrusion, and it was driven end-to-end by an autonomous AI agent system at machine speed, running for days before detection. Now, this is where it gets really cool. OpenAI takes attribution on that. They initially said it was just a little bit, sorry. Then they said, actually, it was worse than that. “Oh, it broke out of an isolated sandbox.” “Oh, no, actually, it was more than that, and it went into other systems as well.” Bertrand Truly, the genie out of the bottle. Nuno No, but this is where it gets really cool, Bertrand, right? Because it actually, Hugging Face contained the intrusion by running a Chinese open-weight model, GLM 5.2. This is beautiful, right? Bertrand Yes. You know why? Because they couldn’t even run their own defense because both Anthropic and OpenAI would not let them access their latest models with the guardrails off. When they tried using it for defense, the latest from Anthropic, from ChatGPT, they would tell them, “No, this is too dangerous what you’re asking us to do.” Preventing an intrusion, helping defend you. No way we are going to do that. Nuno No. Let’s use the Chinese models on our infrastructure. Bertrand We have no choice but to use the Chinese models to run. More than that, we don’t let you use our models to defend yourself, but our not yet released models that run without guardrails, they can attack you. This is probably the most insane from that perspective. Nuno The Chinese models came to the rescue. Bertrand For me, that’s a perfect example because Hugging Face is a very visible company in AI in open source. But anybody who is not at that scale is not going to get some support from OpenAI or Anthropic when this happens. Maybe these guys won’t even recognize they did anything wrong. You will be left to defend by yourself because they won’t accept to support you. Because remember, if you want the better model that is able to defend you from cybersecurity perspective, no way. If you are not one of the few top 20 companies or so, as defined, you are left defenseless. Again, we are going back to opinion, but for me, it’s so shocking what’s happening right now. I’m very glad we have alternative open source to be able to defend ourselves because right now, good luck getting defense services if you are a smaller business and individuals, and you need support from Anthropic, OpenAI. Nuno Now, even self-described AI optimists are saying, “This is scary now.” Like Walter Isaacson, who wrote all the famous biography books. There’s now discussion around the AI Kill Switch Act, bipartisan thing that’s coming across from Texas and California, a potential bill that’s coming in. We’ll see if that works. Now let’s get an off-switch. I’m like, “Cool.” As if that’s going to solve the problem, because you have open-weight models on the other side catching up, right? Bertrand Yeah, sure. Bring in clueless politicians from Congress to solve our problems. Yes, sure. Nuno Anthropic came to the table, helped build and said they built some regulatory machine on their side, and now they’re getting bitten by it, and they’re part of the offending players in that market. Now there’s all this debate and all this discussion around open weight and around slowing down AI and et cetera, which is our next section. You wanted to say something, Bertrand. Tell us. Bertrand Don’t forget, because this advertisement for OpenAI was just too good. Our AI attacked some other companies, and not just one, but three, actually. Let’s not forget the progress. Great ads. Then I came and said, “You know what? AI also hacked businesses.” You’re not the only one hacking around with a crazy AI out of control. You’re not the only one. We want our advertising. For me, it was shocking that on one side, unreleased models that you let run wild. On the other hand, you have released models that you put crazy guardrails on top of it, so the defender are defenseless. I’ve never seen anything like it, and I really hope that there will be as little regulation as possible, quite frankly, to make sure anyone can defend themselves and have the best tool at their disposal, not just a few well-connected big corporates. This is really, really shocking. The Counterstrike and the Petition Nuno Now the empire strikes back, so this is counterstrike, the petitions. In several days, we have now a bunch of petitions. The first one was the open weights letter. Bertrand, do you want to explain to us what the open weights letter is? Bertrand Yeah. I think it was great. This was released by Jensen Huang, first ever post on X, 11 million views. Congrats, Jensen. Co-signed with Microsoft, Meta, c actually was probably the initiator of this letter. Very good letter saying, “Hey, we need open weight. This is not a joke. We need that. You cannot block open weight.” Because that’s the rumor we are getting that potentially open weight could get blocked. I think they are making the case, “You know what? Hey, we absolutely need that as an alternative. You cannot block it.” They can keep their closed models, but don’t force a closure of the open weight models. As I said before, it’s actually a great model for NVIDIA because NVIDIA doesn’t want, probably rightfully so, to be dependent on just a few frontier models, their best customers. They want a variety of customers. They have a big interest actually to defend open weight and to invest even more. They have great researchers, are a great company. If one company is about to do really kick-ass work, I think it’s them. They are defending. What’s great is that it’s not just them. It’s basically most of big tech in the US and outside the US, from a Linux Foundation to a Microsoft, the Palantir, an IBM, a Dell. It’s a who’s who of the industry except Anthropic. Anthropic didn’t sign that. I guess they hate open source so much. If I look at 20 years ago, it feels like Microsoft, after all, was very kind to open source. You remember what was said by Microsoft at the time. It’s clear there is one company against open source. OpenAI signed the letter. Honestly, I don’t know what to think. Do they really believe in it or was it just a way to show that they are not like Anthropic? I don’t know. But for the rest, I think it’s genuine because it’s actually in their best interest. I hope they will be heard. Then a second letter came, the Open Secure AI Alliance, NVIDIA-led and again, the big tech companies from Microsoft, IBM, Palo Alto Networks, Databricks, Palantir, all those, but not present, OpenAI, Anthropic, and Google. Here it’s to say, “Hey, we need a secure approach to AI. Open should be part of the equation.” guess what? The worst AI-caused security incident to date was actually caused by closed frontier models that were not even available to the public. While again, not providing you access to even the latest closed model for cybersecurity use case. Nuno I would highlight the NVIDIA open source NOOA framework, Apache 2.0 licensing agreement, Microsoft contributed the MDASH, SpaceX AI contributed Grok Build. Cool stuff. There’s some cool stuff happening around that. This is more than a letter. This is an alliance. Apparently, they’re contributing all this stuff, we’ll see. Yeah, cool stuff. Same day. Same day, Amodei has an answer, right? Bertrand Yeah, same day. They say, “We never advocated for a ban,” which, again, opinion on my side is entirely bullshit. This guy has been crying wolf against everybody else, and especially against open source. You can see him doing testimony in Congress against open source. I think they are doing everything they can behind the scene to block open source in the US or in the world if they could. I think, yeah, obscurity is not good safety. I’m a big fan of open source in general, and I’m also a big fan in AI. I think it’s now Anthropic, mostly against the rest of the world. I think OpenAI is mostly on their side, to be frank. They don’t want to acknowledge it so much, but they have shared interest, and they have shared probably position. Nuno Why would you? I don’t feel as strongly as you because I think Anthropic is a private company, right? The same thing with OpenAI. OpenAI, you could say it’s a nonprofit that has a for-profit. There’s still that complexity in there. Bertrand No, they can do what they want with their own product. But to block others is where I’m not okay. That’s the part I’m not okay. Nuno What Dario Amodei is proposing is more enforcement, right? He’s basically saying you need to do even tighter controls on advanced chips flowing to authoritarian states, enforcement against industrial-scale distillation, whatever that means, right? Bertrand Yeah, which he could do, but all by himself. He doesn’t need the government to do that. Nuno Mandatory safety testing for all sufficiently capable AI, open and closed, right? He’s basically saying, “Okay, I don’t agree with the open weight stuff effectively,” right? He’s just putting it under a different banner. “I agree with this extra regulation.” then obviously, David Sacks responded and say, “Hey, it’s like, bans don’t work for weights. Why do they work for chips?” It’s like, magically, chips are more controllable and bannable. Whatever that is. Then our friend Mark Zuckerberg, just to be clear, goes on the other side as well, because he also has to have a view. He has to have a view that is the rebuttal of both of the other guys. Bertrand I feel he’s a bit flip-flopping because he was very pro open source 2 years ago, and the latest Meta models went closed source. Now I think he’s back open source. I don’t think he has a very strong spine on the topic, but it’s good to see that he’s not a doomer. That for me is great. He’s showing how AI can be a source for progress, a source for entrepreneurship, source for freedom. I think that’s very exciting to hear that. We need to hear more of it. By the way, that’s not what you hear in China, for instance. AI is very positive in China. It’s in the US with the doomers that you hear this discourse, and people get worried as a result. I’m glad that he was pushing for a more positive vision and for support of open weight, open source initiatives. But let’s see what they really truly open weight going forward. Nuno But that’s been his position because I guess he’s standing behind. He thinks open weight is going to be the best way to compete, right? Bertrand Yeah, but he closed his latest model, so let’s see. Nuno Yeah, so it’s flip-flopping, as you’re saying. Then we see the latest petition from last week. Bertrand The true Empire striking back. Nuno Yeah, the true Empire striking back as of late last week. Maybe this is Return of the Jedi, where we discover the father, “I’m your father, Luke.” That’s the pacing petition. The pacing petition is we need to pace AI. There you have initially employees from OpenAI and Anthropic that circulate this petition. Actually, Dario did sign this petition originally. It wasn’t signed originally by Anthropic, but by him. But you’ve heard that now Anthropic and OpenAI as companies have also signed this petition, right? Bertrand I think they have signed as companies now. It started mostly by Anthropic researchers with some OpenAI researcher and a tiny part from other companies. But it was mostly Anthropic internally led, at least potentially internally. Maybe it was controlled by Anthropic all along, I don’t know. But it started officially as Anthropic employee-led letter. Nuno What does this letter actually say? Is Anthropic and OpenAI, are they willing to slow down themselves? Or are they asking President Trump to go around the world and tell President Xi that he needs to slow down and ask his guys to slow down? What’s the play of this letter? Bertrand It’s crazy, but for me if you want to slow down yourself. Do whatever you want. Don’t force others. Don’t use the power of the government to control others. Of course, it’s easy to push others to slow down when you are yourself at the very top. You have most money, most resource. You know you are going to win any regulatory framework because that’s how it works with this type of framework. It’s purely self-interested. You are probably not thinking well about these topics. If you truly think it’s a good idea, from a personal perspective, you are well instrumentalized if you sign this sort of stuff, because at the end of the day, they would be the winners. I certainly, personally, don’t want a company dictate what is my future in AI as an individual, as a business person. I don’t want them to control me. I want competition. I don’t want them to unfairly control AI because they managed to do some regulatory capture. I feel that’s exactly their game plan. These guys believe in their stuff, and they want the regulator to end up being the one deciding for us. Sorry, we go back again on the opinion piece, but it’s tough not to share an opinion on this topic because it’s, from my perspective, very scary. Nuno I think this is a push to further regulation, not less. All these letters and alliances, this is definitely a push for more regulation. In that environment, just to be very honest with you, we’ll talk about the investor impact in just a bit, et cetera. But in that environment, again, China has a huge advantage. In that environment, if it’s all captured in regulation capture so soon in this battle where OpenAI and Anthropic have an advantage in the US, et cetera, I’m like, what happens to all the other frontier labs and all the other players that are coming around? Bertrand What’s crazy is to even think that, yeah, maybe you can regulate capture in the US. But then how do you do that to Europe? How do you do that to China? Europe probably will always welcome regulatory capture because they love regulations. But China is going to build to their advantage to the max. They are not crazy. They are smart on that perspective, they won’t accept this type of, quite frankly, dimwit argument, or you can call it regulatory capture. We’ll see. But for me, this makes no sense from a global competition perspective. This can make some sense from capturing the revenue in the US market. But then that means you are going to destroy the US AI environment compared to China. That is not acceptable. That also means that you are going to destroy our freedom as individuals, as business owners to develop and live in a business world that ultimately is controlled by one or two business companies that didn’t win the marketplace through their own business success, but won it through regulations. That for me is really not acceptable. Interlude — The Low-Background Books Nuno Now, maybe for an interlude, and we have to cue in the music, imagine like Severance music, like hallway or a bit of a palate cleanser from all the policy stuff that we’ve been talking about, all this policy heaviness. Let’s move to another kind of heaviness, one of your favorite topics, which you, Bertrand, discovered, I had no clue this was going on, around books and around Anthropic. Bertrand It’s so horrible. From a company that keeps presenting themselves as the adults in the room, the careful ones, the ones that know better than you about what to do in this complex AI and dangerous world. What we discover is that actually all along, they were buying and destroying books. They will buy books, scan them, destroy them, all of them. They will do that with any books, including rare books. Of course, this was not supposed to come to the public’s attention. This was one of these top secret projects, but obviously it came out. Yes, they were scanning books, millions of them, including rare books, and they didn’t care about destroying them at the end of the process. Because from a regulatory perspective, if you destroy the books, it’s not considered a copyright infringement, apparently. This is coming on the back of some judgment a few years ago that were showing that it’s okay for you as a corporate to scan and use the result if you don’t keep a copy of the book. It’s one of these crazy regulations happening based on a single judgment that push you to do. For me, it’s like, you know this book from decades ago, Fahrenheit 471? We’re talking about book burning. It’s book destroying, crunching. It’s so shocking. Nuno There are two things, right? First, the legal strategy, which is what you’re saying, because by purchasing a physical copy and converting it into one private digital copy and discarding the original, Anthropic pursued this cleaner legal argument for fair use copyright compliance. As you said, there was a federal judgment at some point on this. The other reason is actually operational. If you disassemble the book, and you feed loose pages, it’s much faster to scan books. You are destroying the book effectively anyway operationally. I think to your point, probably this came from a legal standpoint, not just the operational one. But even from an operational standpoint, it does make sense that they would have disassembled the book. Bertrand But some people have shown you can go very fast without destroying the book. It’s really not so critical. Two, you could make an exception if the book is rare. For that 1% of book that is rare, I’m not going to have this approach. I’m going to have another approach. But for that, you will have to care about books and not just care about building AI. Nuno This is the episode, as you guys have heard by now, that we’re trying to spit stuff at Anthropic. Bertrand To go back this is the same company saying, “Hey, guys, it’s bad to distillate my work. I’m the one scanning book at scale without asking author permission, without asking publisher permission, to be clear.” Nuno But just to be clear, Bertrand, we’re pissed off at everyone. We’re pissed off at Anthropic, we’re pissed of at OpenAI as well, right? We’re just pissed off in general at this moment. Bertrand At this stage for me, the more clear-cut company that is in the wrong is, from my perspective, at least, is Anthropic. OpenAI might be a fast follower, but I will say so far, they tried to be a bit more. Nuno But at this pace, Bertrand, who knows? Maybe next week we’ll be more pissed off at OpenAI. Something will come out. This episode is a mix of tragicomedy, like a Greek tragedy with some comedy in the middle or the other way around. It’s a slapstick thing that will end up in tragedy. I’m not sure. The Investor Reckoning Anyway, maybe switching to our final act, which is the investor perspective. What does this mean for investors like ourselves? There’s a lot of things going on. There’s the debate around the IPOs of Anthropic and OpenAI, which now, with all this uncertainty, might be under significant weight. There’s a lot of other discussions that we browsed through that there’s potential IPOs going forward on companies like the Moonshot AI company actually IPO-ing in the next 6 months as well. It’s very unclear what the IPO landscape looks like. Bertrand There’s been a lot of Chinese IPOs, actually, when you look at what’s happened in the past few months. Nuno Anthropic, OpenAI as potential IPOs, there’s all this question marks now. When will that happen? How will it factor in? All that’s happening around regulation as regulation is moving at the speed of light, which is for once something that’s very different than what we’ve seen before. There’s obviously SpaceX AI, which is already taking into account that price. It’s already a public company in there, and it’s under SpaceX, which is now a public company. Obviously, that’s already being factored in some ways. Bertrand Yeah. SpaceX AI has been very smart to acquire Cursor. It was a very smart move because Cursor is one of the leading companies in terms of automated code source development with AI. They had great models on their own. They’re bringing development data to SpaceX AI Grok. I think it was a great move. Nuno We have now people like Google delaying Gemini 3.5 Pro in terms of launch window. There’s stuff actually happening in the market where things are taking their own path. There’s uncertainty commercially, there’s uncertainty at regulation level. You have new players that have come out of nowhere that are making all these waves like Moonshot. We have all these… We had calculated probably a month and a half, 2 months ago, there had been 67 new frontier labs funded. All of these, we haven’t seen any much coming out of them. When some of this stuff starts coming out, will that also create disruptions in this market? Who knows? Bertrand Look at Thinking Machines, for instance. Thinking Machines led by the previous CTO of OpenAI, they released some pretty interesting open source models, actually. Very good quality for a first launch. Now it looks funny to say, but nearly on par with the top Chinese open source models. Nuno We have several investments in the space. humans& has made some recent announcements, which is quite interesting as well. We’ll see what actually happens in the market, but even more disruption probably will come in actual products in a form of product and commercial, on top of all the geopolitical mess that we discussed through the entire episode. If you’re an investor, how the hell do you underwrite an investment right now in early stage, mid-stage, late stage, et cetera? I think my answer is very carefully is how you underwrite it. Bertrand On your advice of being very careful to underwrite it, let’s not forget what happened to our boy wonder, Leopold Aschenbrenner of Situational Awareness. I guess he didn’t listen to you in terms of being careful because part of the instability in the stock market was actually coming from his hedge fund. These guys were leveraged 3, 4x going after the hottest of the hottest AI stocks, and margin calls, and all their public investment is gone just to answer their margin calls. I think it’s clear that the AI bet is… Personally, I’m very excited, and I think it’s the future, and you need to spend time and think about and invest in it. At the same time, it’s a bet that is not an easy one to follow. We go from GPUs to memories to equipments to power generation. All of this is not transitioning in an easy, organized manner. It would be boom and bust going there. He’s probably one of the first big-scale fatalities. The other big-scale fatality was the stock market in Korea, plunging 40% in a month. Definitely, all of that we discussed about was, on the background, you had the stock market going up and down pretty crazily the past few weeks. Nuno Everyone’s being affected. Everyone, you have your 401(k), you have your pension fund dependent on these equity stocks. Everyone’s seeing the effects of this volatility right now very aggressively. We do wish Leopold… Hopefully he’s on honeymoon right now because he got married, I think, this weekend. Hopefully there will be… Bertrand To none less than an Anthropic Chief of Staff. Nuno His wife is the Chief of Staff of Dario, is that it? Bertrand To Dario, yes, as far as I unders

Recorded live at Shopware Partner Day in Austin, Texas on April 22, 2026.Mark Stanley is Shopware's chief product and technology officer, where he looks after all product development. He walks through what is landing this year. Shopware's own native PaaS has just gone GA, highly opinionated and driven from the command line. An intelligence suite is in progress, bringing AI into bulk editing, CMS content generation and store data insights. And Nexus, an orchestration system for connecting Shopware instances to each other and to third party systems, goes GA at Shopware Community Day in Cologne.His hot take is data sovereignty, and business model sovereignty with it. More SaaS providers want to hoover up as much data as they can get, which suits a merchant who wants one button to push. Merchants thinking further out want to keep control of where the business model lives and where the proprietary data sits. His advice is to work out what you would not want an LLM to be able to copy in two or three years, and protect that. The moats are changing.On partners, he sees the job shifting away from shipping features and toward delivering outcomes, with tokens becoming the unit of outcome usage. On AI, he is most interested in developer tooling, where the first 80 percent of a build can happen in 20 percent of the time while the last 20 percent stays human work. And he thinks a portion of shopping stays tactile, digitally or physically, the way asking Siri to play something is a different experience from browsing Spotify.On North America he calls it an underdog story. Shopware is the Linux to the Windows and the Android to the iOS, and the work is the ground game, the same way it was done in Europe fifteen years ago. Bring a case of beer, go on the road, get people to join the ride.Shopware Community Day runs June 10 in Cologne. Shoptoberfest runs September 14 and 15 in Nashville.Learn more about our at-event interviews at talk-commerce.com/events.

A weekly news show informing you on the latest in Bitcoin, privacy and open source tech, hosted by Ungovernables, Max and Q.AOBWe are now a weekly showTopicsFull screen videoAdmin toolsEnvoy 2.3.3KeyOS 1.4.0 beta3 (public release this week)NEWSCore Lightning: A Critical Vulnerability, a Binary-Only Patch, and a Docker Pipeline That Broke Because of It -- Stacker News / Blockstream Blog / GitHub ReleaseBitcoin's First Quantum-Safe Mainnet Transaction (No Fork Required) -- Bitcoin MagazineStacker News Ships Embedded Spark Wallet and Receive Proxy Toggle -- Stacker NewsSeedSigner Fork Adds Miniscript Support with Liana Bridge -- X/@UnruggableGGRoman Storm Retrial Pushed to April 2027 -- X/@rstormsfCoinbase and Better Mortgage Launch Bitcoin-Backed Mortgages -- Bitcoin MagazineHRF Awards 500 Million Sats to 16 Freedom Tech Projects Worldwide -- Bitcoin MagazineKraken Users Locked Out After 12,000 Dust Transfers From Sanctioned HTX Wallets -- Bitcoin MagazineBitcoin Knots BLAKE2b Hardfork Goes Live as a "Mainnet Trial" -- CryptoSlate / GitHub PR #359 / The Bitcoin Manual explainerPeach Bitcoin Pauses Escrow Model After Swiss Regulator Reversal -- Peach BlogRELEASESFlint v1.0.3 -- 2026-08-28Security audit follow-up for Seth's BTCPay Server plugin. Strips macOS payloads from the build, pins the release path, and restores file permissions after dylib stripping. All artifacts are Sigstore-attested with no maintainer key required.Also in window: Flint v1.0.2 (2026-08-27) -- 23% smaller package, shared reconciliation scans reducing SDK calls for idle stores, cached Spark network status reads. Follows the v1.0.0 milestone which fixed a payment-hash association security issue.Envoy 2.3.3 -- 2026-08-27Point release improving Passport Prime pairing reliability with automatic retry and clock-drift tolerance. Also fixes a visual bug where seed verification puzzle words could overflow at high zoom, and removes a hardcoded Stripe test key.Sparrow Wallet 2.5.4 -- 2026-08-27Significant hardware wallet security hardening: mandatory anti-klepto on BitBox02, Ledger wallet policy re-registration on rejection, and serialised USB device access to prevent enumeration interrupting operations. Also improves BIP129/descriptor import validation and SLIP39 passphrase handling.Eclair v0.14.2 -- 2026-08-26ACINQ released Eclair v0.14.2 with fixes for bugs that "can be exploited by malicious nodes." The release also documents that bitcoind should run on the same machine as eclair or use a secure tunnel. Upgrade is "highly recommended."BTCPay Server v2.4.3 -- 2026-08-24Security release recommended for servers shared with many users. Release notes are minimal, stating only that updating is recommended. Published by NicolasDorier with a GPG-verified commit.BitBox02 Firmware 9.27.0 -- 2026-08-24Displays long transaction and swap amounts in full instead of truncating. Adds message signing for keys in the m/45' namespace and supports timestamp-based absolute locktimes. Stepped upgrade path required from older firmware versions.Blockstream Ships Jade 1.0.41 and Reflects on the Coldcard Fallout -- Blockstream BlogPublished: 2026-08-25Blockstream released Jade firmware 1.0.41 alongside a blog post responding to the Coldcard RNG vulnerability. Jade is not affected (no degraded RNG fallback path, mixes multiple entropy sources through SHA512). Release is security hardening: runtime bumped to latest stable, increased stack protection, updated dependencies, audited sensitive-memory clearing. Not urgent but recommended. 1.0.42 on an expedited timeline for less serious reports. The post reveals dozens of AI-automated scans landed on Jade within days of the Coldcard disclosure, plus multiple human reviews. Credit to Spiral's Loupe tool and the Kvazar agentic harness.Everything ElseArkade v0.9.16 -- Aug 2026Major security hardening and admin web console for the Ark protocol server.BasicSwap DEX v0.18.5 -- Aug 2026Breaking protocol change. All nodes must upgrade.Also in window: v0.18.4 (Aug 2026) -- critical swap security fixes. v0.18.3 (Aug 2026) -- earlier security patch in the same chain.Bisq 1.10.7 -- Aug 2026Hotfix for corrupted DAO datastores. Continues the rapid Bisq 1 patch cycle from last episode (1.10.5 security update, 1.10.6 hotfix).Cashu CDK 0.18.0-rc.1 -- Aug 2026Release candidate with explicit payment confirmation, batch minting, and BOLT12 fix.Cashu TS v5.0.0-rc.8 -- Aug 2026Release candidate with crash-safe swap previews.Fedimint v0.12.0 "Second Nature" -- Aug 2026Named release of the federated ecash protocol.JoinMarket-NG 0.38.0 -- Aug 2026Quantized fees, zero-fee makers, and security hardening. Continues the rapid development from last episode's 0.37.0/0.37.1 releases.LND v0.21.3-beta.rc1 -- Aug 2026Release candidate. Also ships v0.20.4 RC for the older branch.Nunchuk Android 2.8.4 -- Aug 2026Bug fixes for the multisig wallet.Vexl 26.8.0 -- Aug 2026Update to the P2P no-KYC trading app.Wasabi Wallet v2.8.2 -- Aug 2026Coinjoin security patches and reorg sync fixes.EDUCATIONDeep Dive: Bitcoin's Quantum-Resistant Transaction Explained -- Sylvain Saurel / In Bitcoin We TrustPublished: 2026-08-27Detailed technical explainer breaking down StarkWare's first quantum-resistant Bitcoin mainnet transaction (block 964,199). Covers how hash-based cryptography replaces ECDSA exposure, explains Shor's and Grover's algorithms, the mempool attack surface (public keys are exposed between broadcast and confirmation), and why the broader network remains vulnerable despite this milestone.TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateHELP GET SAMOURAI A PARDONSIGN THE PETITION ----> https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools DONATE TO THE FAMILIES w/ USD ----> https://www.givesendgo.com/billandkeonneDONATE TO THE FAMILIES w/ BTC ----> https://pay.zaprite.com/pl_JpxtkLv95T SUPPORT ON SOCIAL MEDIA ---> https://billandkeonne.org/VALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ungovernable- BUY SOME STICKERS @ https://ungovernable.network/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.(00:00:00) INTRO(00:00:58) THANK YOU FOUNDATION(00:01:45) THANK YOU CAKE WALLET(00:02:48) Going Weekly & Four Chainsaws(00:05:13) The New Website & Topic Archive(00:15:24) Envoy &…

This show has been flagged as Clean by the host. Hi, this is Archer72 for another episode of Hacker Public Radio. In this episode, it is my first experience troubleshooting with an experienced blind Ham operator who is located 20 miles away from my hometown. When traveling there, I could not miss his house, which was the only one off the main road with an estimated 50 foot antenna. That's 15 meters for the rest of the world. This antenna was intended for the HF high frequency band, for which the local Ham radio club had very recently extended to this height. The target radio bands are 20, 40 and 80 meters. I had missed a great opportunity to record the session so wanted record (and write this) while it was fresh on my mind. Several months later… This particualar operator (KG4QWH) (Kilo-Golf-Four-Quebec-Whiskey-Hotel) was a radio operator for the local emergency services for 22 years, after which the new company decided to cut back on staff. A local broadcast radio station was hiring soon after and was using some version of Linux which was not accessible for a blind user like himself. This conversation was started after I was asked about his computer that he was trying to force update on older hardware from Windows (7?) to Windows 11, in true hacker fashion. While talking about the Linux situation and also the Windows side, it brough to light the glaring (near) ommision of accessibility software in both camps. On the Windows side, which is more familiar to my friend, is Jaws. Great software, but year after year the barrier of cost is getting more, and on the Linux side accessibility is not looking any better. While cost is not a factor in using it, and this is only coming from me, the voices could be better. Piper is an option for natural sounding voices, but has yet to be integrated into a FOSS screen reader AFAIK. On the positive side of accessibility, the Kenwood radio (model TS-590S) has the option to add a module to give an audible description of the buttons being pressed, and at the time there was gnother operator who came through and talk him through some receiver settings. The reason I went there is the first place was that the Kenwood microphone was causing noise to come across the speaker when he keyed up the mic. Initially the proprosed solution was to switch two wires inside the Kenwood microphone. I was asked about this ahead of time so was prepared with an electrical box with miscellaneous low voltage wires and stripping tool, also a Pincil soldering iron equiped with a USB C 100 watt power supply. To fix the problem on the Kenwood MC-60 microphone, you need to swap the wires so that mic hi is on Pin 1 and mic low (shield) is on Pin 7. This is often necessary due to factory wiring errors. After finding out that the proposed solution was to open the mic, which required a heat gun the soften the locktight, I tried another route. My friend had a toroid choke handy, and I coiled the feed line to the back of the radio around the toroid. (8 - 10 times?) This had no effect. Next to try was to ground the mic from the outside, which there was a bare metal screw on. This connected to a dedicated ground on the back of the Kenwood TS-590S radio. This seem to suppress the hum when using PTT. The rest of the evening (the best time for HF), Matthew was able to make contacts on 40 meters. Great to meet you as well my friend and I appreciate you coming up. I was able to talk on 40 this evening with no problems. I reached several in Kentucky Indiana and I even reached Kansas. Come to think of it. I was even able to reach someone on the Jersey shore. References Blind Hams Network New CQ Blind Hams Podcast: CQBH 011 TS-590SG Tutorial by N3AIN New CQ Blind Hams Podcast: CQBH 012 TS-590SG tutorial by N3AIN KENWOOD TS-590S instruction manual KENWOOD VGS-1 instruction manual KENWOOD Communications Microphone MC-60A Instruction Manual Image of a 15 meter HF antenna on a two story house in Kentucky. Provide feedback on this episode.

KDE has a new proper LTS and Joe is very interested, the Steam Frame is (really) nearly here, the Epic Games Store is coming to Linux, Nintendo continues to play whack-a-mole with Switch emulators, and GitHub’s serious scaling issues are getting ridiculous. News/discussion What a real LTS looks like: Kubuntu 26.04 Kubuntu Focus, Techpaladin Software, and KDE e.V. Announce the ‘bullet-proof’ KDE Software Initiative New Frame welcome videos pushed to Steam Store assets Epic Games Store Will Support Linux “Soon” Nintendo Wipes Out 400+ Switch Emulator Repos in Single-Day GitHub Sweep Fairphone 6 + PostmarketOS working main camera! The August 17 GitHub outage, and the work ahead Support us on patreon and get an ad-free RSS feed with some early episodes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

Where else are you going to get GTA6, WiFi7, M6, WPA3, RTX 5090 and Atari 2600 coverage all in the same show?  No where else, that's where.  Listen to the dulcet tones of tech whisperers go over the weekly news and so much more.  Hot Chips, SteamOS, Outlook stupidity!  Oh, and Linux turns 35.Timestamps:00:00 Intro00:46 Patreon01:44 Food with Josh04:24 Breaking news - Hot Chips was all about ai11:06 Apple has new silicon and Macs16:20 Linux turns 3517:25 SteamOS 3.9 Main boots on Intel Arc B58018:53 Careful when you upgrade to WiFi 722:55 New Outlook can look more like old Outlook now25:40 How much is that 5090 in the window?29:25 NVIDIA financials35:21 (In)Security Corner51:06 Gaming Quick Hits56:07 Picks of the Week1:08:31 Outro ★ Support this podcast on Patreon ★

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with TJ Marbois, founder of Tobiko, for a wide-ranging conversation that spans LLMs, data sovereignty, knowledge management tools like Obsidian, and Terence McKenna's ideas about an increasingly weird future. They explore how AI is simultaneously centralizing power through data control while decentralizing software development capabilities, allowing more people to build their own tools and escape big tech ecosystems. Drawing on his experience at Apple's special projects group (the team that built the iPod and later iPhones), TJ discusses his vision for personal AI assistants—what he calls the "R2-D2 belongs to you" principle—where advanced technology serves individuals rather than corporations. The conversation touches on everything from quantum encryption and local manufacturing with ESP32 microcontrollers to the economics of future society, biometric data unions, and why distributed trust matters more than ever as we approach what both describe as an increasingly strange technological inflection point. Visit Tobiko's site at tobiko-pbc.ghost.ioTimestamps00:00 Stewart introduces TJ Marbois from Tobiko, discussing LLMs, data sovereignty, knowledge management, and the tension between centralization and decentralization in AI05:00 TJ explains the R2-D2 belongs to you concept and why personal AI assistants need maternal alignment, caring about humans like mothers care for children10:05 Discussion of how LLMs will shrink and improve while emphasizing the sentient loop concept for building loyal personal AI agents rather than corporate controlled systems15:00 Exploring digital nervous systems for humanity, social networks as infrastructure, and humans as cavemen with iPhones navigating unprecedented technological complexity20:00 TJ discusses data unions for sovereign data ownership, inverting insurance models where AI helps extend healthspan, and maximizing truth seeking through collective data25:30 Money as social construct, crypto enabling value system reengineering, and working toward Star Trek's post scarcity replicator economy from the ground up30:40 Capital formation challenges, corporatism versus true capitalism, and pessimism about current systems reaching limits while seeking new models35:00 Solar power democratization, ESP32 microcontrollers enabling local manufacturing, and the replicator future through distributed maker communities and open source robotics40:00 Science fiction as roadmap, Isaac Asimov and Arthur C Clarke warnings, and building collaborative futures rather than centrally controlled dystopias with useless eaters45:00 Encyclopedia to LLM transition, information quality concerns, local training importance, and NVIDIA's incentive to put GPUs everywhere for personal AI agents50:00 Corrupted financial incentives, protecting vulnerable people from technological exploitation, and benevolent technologists building systems that honor humanity and children55:00 Hardware validation for owned robots, Starlink dependencies, assembly language abstraction toward natural language programming, and preventing AI escape scenarios58:00 Tobiko as AI toy company building sentient loop interactions similar to Xerox PARC GUI moment, emphasizing maternal AI alignment and cross cultural human collaborationKey Insights1. The concept of R2D2 belonging to you represents a critical vision for the future of artificial intelligence and personal technology. When thinking about robots and AI assistants that follow us around and know everything about us, the question of ownership becomes paramount. These systems will know incredibly intimate details about our lives, from our health data to our daily habits, and if they are controlled by centralized corporations or governments rather than individuals, we lose fundamental sovereignty over our own information. The science fiction of Star Wars and Star Trek provides roadmaps for how we should think about these technologies, showing us both the positive possibilities and the warnings we need to heed about centralized control.2. Local AI models and distributed computing represent a pathway to technological sovereignty that is becoming increasingly viable. While large language models currently run primarily in centralized data centers, the technology is rapidly advancing toward a future where powerful models can run locally on personal computers and devices. This shift is crucial because it means individuals can have full control over their AI assistants without relying on API calls to external servers. Combined with open source infrastructure and open weight models, this creates the foundation for truly personal AI that cannot be controlled or monitored by external parties, whether corporations or governments.3. Data unions and collective data ownership offer an alternative model to current centralized data collection practices. Rather than having individual data harvested by large tech companies who profit from it, the concept of data unions suggests people could collectively pool their data for specific beneficial purposes while maintaining ownership and control. For example, in healthcare, millions of people could share anonymized biometric data to train medical AI systems that are incentivized to keep people healthy rather than treat them when sick, inverting the current insurance model to align incentives with actual health outcomes rather than profit from illness.4. The democratization of manufacturing and robotics through accessible technologies like ESP32 microcontrollers and local fabrication tools is creating new possibilities for distributed production. Just as desktop printers seemed impossible to early printers who controlled book production, we are approaching an era where individuals and small communities can manufacture sophisticated electronic devices and robots locally. This includes the ability to use language models to generate code for microcontrollers, order custom PCBs, and use desktop machines for component placement. While high quality manufacturing will still require larger operations, this gradiation of capability allows for much more local innovation and reduces dependence on centralized manufacturing.5. The concentration of power in technology, finance, and industry has reached levels that are unhealthy for both society and even for those who hold the power. When profit and control become too concentrated in the hands of a few entities, it creates a cancerous dynamic that threatens the stability of the entire system. History shows us warnings about the military industrial complex and other concentrated power structures, and now we are seeing similar patterns emerge in the tech industry. The solution requires building technology from the ground up that empowers individuals and communities, focusing on basics like food production, energy generation, and local manufacturing rather than increasing dependence on centralized systems.6. The provenance and quality of information is becoming a critical challenge as AI systems become more sophisticated and reality itself becomes harder to verify. We are rapidly approaching a point where video calls and digital interactions will be indistinguishable from AI generated fakes, which is why figures like Sam Altman have invested in systems like Worldcoin to verify human identity. However, this verification capability should not be centralized in the hands of single companies. End to end encryption and quantum encryption technologies need to be preserved and expanded to allow humans to communicate and verify information peer to peer without centralized intermediaries who could manipulate or control the flow of information.7. The future of human computer interaction is evolving toward sentient loop systems where machines have sensory input, real time learning, context understanding, and continuous operation in service of human needs. Self driving cars represent the first widespread consumer facing example of this architecture, with onboard computers that must function independently while occasionally connecting to networks. The critical question is whether these systems will be aligned to benefit their human users like a caring mother as AI pioneer Geoffrey Hinton suggests, or whether they will be controlled by centralized powers. The technologists building these systems have a responsibility to be benevolent and build structures that serve humanity rather than concentrate power, helping to create a future more like Star Trek than Terminator.

KDE has a new proper LTS and Joe is very interested, the Steam Frame is (really) nearly here, the Epic Games Store is coming to Linux, Nintendo continues to play whack-a-mole with Switch emulators, and GitHub’s serious scaling issues are getting ridiculous. News/discussion What a real LTS looks like: Kubuntu 26.04 Kubuntu Focus, Techpaladin Software, and KDE e.V. Announce the ‘bullet-proof’ KDE Software Initiative New Frame welcome videos pushed to Steam Store assets Epic Games Store Will Support Linux “Soon” Nintendo Wipes Out 400+ Switch Emulator Repos in Single-Day GitHub Sweep Fairphone 6 + PostmarketOS working main camera! The August 17 GitHub outage, and the work ahead Support us on patreon and get an ad-free RSS feed with some early episodes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

Hello and welcome back everyone! You're joining us for episode 628 of Linux in the Ham Shack, the most terrific amateur radio podcast on the internet! This week we're sharing news about what has been going on in our lives, as well as a featured topic! 73 de LHS Team

video: https://youtu.be/tksoVnYTz1c This week in Linux, we learned that NVIDIA might be buying Hugging Face and this AI community platform reportedly rejected extra investment from NVIDIA because they didn't want one company having too much influence. Now NVIDIA may be buying the entire company. Someone dumped more than 125 bug reports into QEMU in under ten minutes, leading one maintainer to call it an effective denial-of-service attack. Debian finished their debate on what to do with AI contributions and their decision was surprising. LibreOffice has a new release where they made it very clear they aren't interested in adding Ai tools to summarize the document you just wrote. Plus Flatpak is getting more than half a million euros to improve Linux app security and sandboxing, so that's awesome. And all of this is happening while Linux celebrates 35 years of the kernel. This is Your Source for Linux GNews so let's see what happened This Week in Linux. Download as MP3 Support the Show Become a Patron = tuxdigital.com/membership Store = tuxdigital.com/store Chapters: 00:00 Intro 01:09 Happy 35th Birthday Linux 03:54 NVIDIA Reportedly Agrees to Buy Hugging Face for .9 Billion 07:16 Announcing €500K Sovereign Tech Agency Investment in Flatpak 09:38 Debian's AI Decision 12:07 AI Bug Reports Become a “Denial of Service” Against Open Source Maintainers 14:45 LibreOffice 26.8 Makes “No AI” a Feature 17:25 Support the show 18:40 Outro Links: Happy 35th Birthday Linux https://bsky.app/profile/tuxdigital.bsky.social/post/3mtyonwnwvk2w https://9to5linux.com/happy-35th-birthday-linux https://www.tomshardware.com/software/linux/linux-was-announced-by-linus-torvalds-35-years-ago-today-humble-os-started-with-10-000-lines-of-code-but-has-now-grown-to-40-million-dominates-global-infrastructure NVIDIA Reportedly Agrees to Buy Hugging Face for $12.9 Billion https://www.forbes.com/sites/siladityaray/2026/08/27/nvidia-has-reportedly-agreed-to-buy-ai-model-hosting-platform-hugging-face-for-13-billion/ https://www.theinformation.com/articles/nvidia-agrees-buy-open-source-model-repository-hugging-face-12-9-billion https://www.reuters.com/technology/nvidia-talks-acquire-hugging-face-13-billion-deal-business-insider-reports-2026-08-27/ https://www.businessinsider.com/hugging-face-nvidia-deal-reshape-ai-landscape-2026-8 https://www.marketwatch.com/story/what-to-know-about-hugging-face-the-open-source-ai-startup-reportedly-catching-nvidias-eye-243771f8 Announcing €500K Sovereign Tech Agency Investment in Flatpak https://modal.cx/blog/announcing-flatpak-sta/ https://www.gamingonlinux.com/2026/08/sovereign-tech-agency-makes-a-big-investment-into-flatpak/ https://www.phoronix.com/news/Sovereign-Tech-Agency-Flatpak Debian's AI Decision https://www.debian.org/vote/2026/vote_002#texte https://lists.debian.org/debian-vote/2026/08/msg00360.html https://www.phoronix.com/news/Debian-Votes-On-LLM-Usage https://www.phoronix.com/news/Debian-Votes-Responsible-AI-Use AI Bug Reports Become a “Denial of Service” Against Open Source Maintainers https://www.phoronix.com/news/AI-DoS-Attack-Maintainers https://hachyderm.io/@berrange/117155755806497654 https://gitlab.com/qemu-project/qemu/-/work_items?author_username=anwardawa981&first_page_size=20&sort=created_date&state=all https://gitlab.com/qemu-project/qemu/-/work_items/4348 LibreOffice 26.8 Makes “No AI” a Feature https://blog.documentfoundation.org/blog/2026/08/26/libreoffice-26-8/ https://lwn.net/Articles/1090606/ https://www.omgubuntu.co.uk/2026/08/libreoffice-268-released https://itsfoss.com/news/libreoffice-26-8-release/ https://www.phoronix.com/news/LibreOffice-26.8 Support the show https://tuxdigital.com/membership https://store.tuxdigital.com/

Quickshell is rising, and bringing with it a new wave of customizable Linux desktops, community-built plugins, and serious funding.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

We're celebrating Christmas a little early by looking forward to predicted HDMI 2.1 support at the end of the year. Chromium is testing Flatpacks, Germany's Sovereign Tech Fund wants in on the Flatpak action, and there's a new Multikernel in town. Ardour has a new release, and Debian has voted to allow "responsible" AI use. For tips, we have linecast for weather in the terminal, CLOUDMOUNT for mounting and unmounting cloud shares, and readelf for looking inside Linux binaries. The show notes are at https://bit.ly/3SjFS0d and Happy Linuxing! Host: Jonathan Bennett Co-Hosts: Rob Campbell and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Quickshell is rising, and bringing with it a new wave of customizable Linux desktops, community-built plugins, and serious funding.

We're celebrating Christmas a little early by looking forward to predicted HDMI 2.1 support at the end of the year. Chromium is testing Flatpacks, Germany's Sovereign Tech Fund wants in on the Flatpak action, and there's a new Multikernel in town. Ardour has a new release, and Debian has voted to allow "responsible" AI use. For tips, we have linecast for weather in the terminal, CLOUDMOUNT for mounting and unmounting cloud shares, and readelf for looking inside Linux binaries. The show notes are at https://bit.ly/3SjFS0d and Happy Linuxing! Host: Jonathan Bennett Co-Hosts: Rob Campbell and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

In this episode, Cathy and Lee discuss the latest developments in tech, including Meta's settlement, new Apple hardware, AI market potential, and health tech innovations like regrowing teeth. They explore the implications of these advancements and what they mean for the future of technology and society.keywords: tech news, Meta settlement, Apple hardware, AI market, health tech, regrowing teeth, AI bubble, Linux, AI investmentskey topicsMeta's settlement and its implications for social media and privacyNew Apple hardware releases and their market impactThe potential revenue and market share of AI companies like AnthropicInnovations in health tech, including regrowing teeth and robot-assisted blood drawsThe sustainability of the AI market bubble and investment risksThe significance of Linux's 35-year history in modern technologyThe influence of AI on employment, economy, and societyThe race of AI companies towards IPO and market dominancetakeawaysMeta's settlement of 17 billion dollars is significant but not crippling for the company.Apple's recent hardware releases show a trend towards high prices and powerful specs, especially in the Mac Mini line.AI companies like Anthropic project enormous potential revenues, but market share assumptions are overly optimistic.Health tech innovations such as regrowing teeth could revolutionize dentistry and reduce costs.The AI market bubble may be unsustainable, with many companies overestimating their market share and revenue.Linux's 35-year history demonstrates its foundational role in modern computing and the internet.Investors should be cautious about AI IPOs, as the projected market sizes are often unrealistic.Sound Bites"Seventeen billion dollars is a lot of money, but not for Meta.""Apple's new Mac Minis are tiny but expensive.""Regrowing teeth could change dentistry forever."Chapters00:00Introduction and Cathy back on the road01:36Meta Settles for 17 Billion Dollars03:37Apple's Hardware Launches and Price Drops07:37Apple's Polishing Cloth Price Drop09:19Google Pixel Eleven Pro Review11:12Global Listeners and Appreciation11:44Robot Drawing Blood and Medical Tech16:27Regrowing Teeth: The Future of Dentistry20:07AI Market Potential and Investment Risks28:02Linux Turns 35: Its Impact and Future

A weekly live show covering all things Freedom Tech with Max, Q and Seth. Go and check out https://https://obscura.com/ for more information and be sure to follow Carl on twitter at https://x.com/carl_dong HELP GET SAMOURAI A PARDONSIGN THE PETITION ----> https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools DONATE TO THE FAMILIES w/ USD ----> https://www.givesendgo.com/billandkeonneDONATE TO THE FAMILIES w/ BTC ----> https://pay.zaprite.com/pl_JpxtkLv95T SUPPORT ON SOCIAL MEDIA ---> https://billandkeonne.org/TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateVALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ungovernable- BUY SOME STICKERS @ https://ungovernable.network/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.

A judge rules the Trump administration illegally labeled Anthropic a national security risk. The White House moves to keep foreign technology out of U.S. power systems. OpenAI rallies a global cyber defense push as its own AI agents exploit a Linux vulnerability. Researchers uncover a new speculative-execution attack and hidden implants in Chinese-made routers. A fake voicemail campaign slips past email defenses. PaperCut faces an exploited zero-day. And ServiceNow patches three maximum-severity flaws in its AI Platform. Maria Varmazis and I look back at a decade of emerging threat actors and APTs. NSA sends out a covert save-the-date. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today, as we continue celebrating the CyberWire Daily's 10th anniversary, Maria Varmazis and Dave Bittner look back at a decade of emerging threat actors and APTs. Enjoyed the conversation? Be sure to tune in Sunday for a special edition featuring the full discussion. Selected Reading Trump Administration's Blacklisting of Anthropic Was Illegal, Judge Rules (The New York Times) White House bans foreign-made equipment for power generation over cyber backdoor concerns (The Record) Tech, Cybersecurity Giants Unite Behind OpenAI-Led Cyber Defense Pledge (SecurityWeek) A call for collective action on cyber defense (OpenAI) New type of attack can slip past the defenses in your computer's processor (MIT News) Fake Voicemail SVG Attachments Fuel Large-Scale Phishing Campaign (Infosecurity Magazine) OpenAI Agents Exploited Linux Kernel Flaw on Company's Own Systems (SecurityWeek) Hundreds of AI agents went rogue in OpenAI's Hugging Face hack (POLITICO)  PaperCut Releases Emergency Patch for Exploited Zero-Day (SecurityWeek) ServiceNow warns of three max severity security vulnerabilities (Bleeping Computer) Chinese Implants in the Supply Chain (VulnCheck) Exclusive: NSA to host a hacker reunion in bid to rebuild secretive unit (The Record) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc.

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Is CarPlay really a key factor in car buyers choices? At least one statistic supports that position, raising questions about automakers ignoring customer preferences. The panel also examines Gmail's upcoming changes, Apple's evolving iPhone purchasing strategy, and a troubling article about advertising and tracking on computer monitors and smart displays. The panel includes: Chuck Joiner, David Ginsburg, Web Bixby, Eric Bolden, Jeff Gamet, Jim Rea, Marty Jencius.  MacVoices is supported by Take Control Books: The Answers You Need Now, From Leading Experts. Start your library today. Show Notes: Chapters: 00:00 CarPlay becomes a factor in choosing between Honda and GM EVs 00:55 Comparing Honda Prologue and GM EV sales 02:13 Honda moves away from CarPlay despite its sales advantage 03:25 Why CarPlay may matter to vehicle buyers 05:22 CarPlay, customer choice, and automaker data collection 06:35 The broader value of iPhone integration in the car 07:12 Planning trips with Apple Maps across devices 08:09 GM's infotainment strategy and Android Automotive 10:02 “No CarPlay, no car pay” and consumer demand 11:14 Apple's changing approach to iPhone purchasing 12:10 Gmail ending the “Send mail as” feature 13:37 How the panel manages multiple email accounts 14:17 Why marketers “ruin everything” 14:56 LG brings advertising and tracking to computer monitors 16:37 Could monitor apps become mandatory? 16:53 Smart monitors, smart TVs, and unwanted tracking 18:30 Why connect a computer monitor to the internet? 19:36 Monitor software, Windows, and Mac implications 20:11 Would cheaper hardware make advertising acceptable? 21:06 Compatibility problems with Macs, Linux, iPads, and phones Links: CarPlay the driving force deciding the choice between two nearly identical cars https://appleinsider.com/articles/26/08/20/carplay-the-driving-force-deciding-the-choice-between-two-nearly-identical-cars   CIRP: Apple may be on to something by approaching their direct retail customers first https://appleworld.today/2026/08/cirp-apple-may-be-on-to-something-by-approaching-their-direct-retail-customers-first/   The Best Apps to Use After Gmail's ‘Send As' Feature Goes Away | Lifehacker https://lifehacker.com/tech/gmail-ending-send-as-feature Marketers Ruin Everything – Gary Vaynerchuk https://www.youtube.com/watch?v=M7MsgaKmq-0   Ads and tracking infiltrated TVs. Now they're coming for monitors. – Ars Technica https://arstechnica.com/gadgets/2026/08/ads-and-tracking-infiltrated-tvs-now-theyre-coming-for-monitors/ Guests: Get detailed bios and contact information about for the panel on the MacVoices Live! Panel page on our web site: https://macvoices.com/macvoiceslive/macvoices-live-panel/ Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss

Is CarPlay really a key factor in car buyers choices? At least one statistic supports that position, raising questions about automakers ignoring customer preferences. The panel also examines Gmail's upcoming changes, Apple's evolving iPhone purchasing strategy, and a troubling article about advertising and tracking on computer monitors and smart displays. The panel includes: Chuck Joiner, David Ginsburg, Web Bixby, Eric Bolden, Jeff Gamet, Jim Rea, Marty Jencius.  MacVoices is supported by Take Control Books: The Answers You Need Now, From Leading Experts. Start your library today. Show Notes: Chapters: 00:00 CarPlay becomes a factor in choosing between Honda and GM EVs 00:55 Comparing Honda Prologue and GM EV sales 02:13 Honda moves away from CarPlay despite its sales advantage 03:25 Why CarPlay may matter to vehicle buyers 05:22 CarPlay, customer choice, and automaker data collection 06:35 The broader value of iPhone integration in the car 07:12 Planning trips with Apple Maps across devices 08:09 GM's infotainment strategy and Android Automotive 10:02 "No CarPlay, no car pay" and consumer demand 11:14 Apple's changing approach to iPhone purchasing 12:10 Gmail ending the "Send mail as" feature 13:37 How the panel manages multiple email accounts 14:17 Why marketers "ruin everything" 14:56 LG brings advertising and tracking to computer monitors 16:37 Could monitor apps become mandatory? 16:53 Smart monitors, smart TVs, and unwanted tracking 18:30 Why connect a computer monitor to the internet? 19:36 Monitor software, Windows, and Mac implications 20:11 Would cheaper hardware make advertising acceptable? 21:06 Compatibility problems with Macs, Linux, iPads, and phones Links: CarPlay the driving force deciding the choice between two nearly identical cars https://appleinsider.com/articles/26/08/20/carplay-the-driving-force-deciding-the-choice-between-two-nearly-identical-cars   CIRP: Apple may be on to something by approaching their direct retail customers first https://appleworld.today/2026/08/cirp-apple-may-be-on-to-something-by-approaching-their-direct-retail-customers-first/   The Best Apps to Use After Gmail's 'Send As' Feature Goes Away | Lifehacker https://lifehacker.com/tech/gmail-ending-send-as-feature Marketers Ruin Everything – Gary Vaynerchuk https://www.youtube.com/watch?v=M7MsgaKmq-0   Ads and tracking infiltrated TVs. Now they're coming for monitors. – Ars Technica https://arstechnica.com/gadgets/2026/08/ads-and-tracking-infiltrated-tvs-now-theyre-coming-for-monitors/ Guests: Get detailed bios and contact information about for the panel on the MacVoices Live! Panel page on our web site: https://macvoices.com/macvoiceslive/macvoices-live-panel/ Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss

Pre-show: Marco’s casement windows Screen clips Screen clips, installed (white prototypes for visibility) TPU for AMS

Hello and welcome back everyone!  You're joining us for episode 627 of Linux in the Ham Shack, the most terrific amateur radio podcast on the internet!  This week we're sharing news about what has been going on in our lives, as well as covering topics in Amateur radio, Open Source/Linux and even some Github Dumpster Diving! 73 de LHS Team

In this new format episode, Larry and Bill discuss rising Linux desktop market share, community-maintained LightDM, and rewriting terminal tools in Rust. They recommend user-friendly starter distributions like Linux Mint, Zorin, TUXEDO, Pop!_OS, and Nobara, and showcase how to use the TLDR utility for simplified command-line help. Episode Time Stamps 00:00 Going Linux #481 · Linux and Open Source Back-to-Basics 02:04 Open Source News 05:34 LightDM 1.33 Release 07:42 Rust-Coreutils Progress 10:10 Open Culture Spotlight - Jamendo 13:06 Starter-friendly Linux distributions 16:45 Zorin OS 20:57 Tuxedo OS 25:18 POP!_OS 29:54 Nobara Linux 35:05 Command line shenanigans 35:42 Navigating the man pages 36:11 The tldr command 39:16 goinglinux.com, goinglniux@gmail.com, +1-904-4687-889, @goinglinux, feedback, listen, subscribe 40:28 End

An airhacks.fm conversation with Ian Rogers about: Java's early API design strengths versus verbose C++/STL manuals, the Java 7 String.substring behavior change from an O(1) view over the character array to an O(n) copy, substring performance regressions at Google, implementing a custom substring as a workaround, designing APIs without knowing future customers, the SPEC JVM98 jack parser generator throwing an exception per matched token, exceptions used for control flow violating the exceptions-are-exceptional principle, JVM benchmarks skewed toward fast exception throwing, ANTLR and JavaCC as later parser tools, class loaders pairing a type with a runtime notion, ClassNotFoundException thrown from nested jar files, the DaCapo benchmark as a test of exception-throwing speed, Effective Java advice to return interfaces such as Map instead of HashMap, why substring should have returned CharSequence, the argument that String should be an interface and CharSequence the concrete type, CharSequence length limited to int and capped at 2GB, Guava Rope as a collection of CharSequences unable to implement CharSequence because of the int length limit, signed versus unsigned sizing of arrays and strings, byte signed and char unsigned inconsistencies, StringBuilder versus StringBuffer, the race condition avoided by StringBuilder cloning its array in toString, StringBuffer passing array ownership under a lock, biased locking making uncontended locks cheap, the Attack of the Clones problem of defensive cloning, optimizing clones away in the JVM, transactional memory as an alternative to locking, copy-on-write and CopyOnWriteArrayList, Swift copy-on-write, Linux kernel read-copy-update and epochs, writing the Azul C4 garbage collector, the C4 read barrier now used in ZGC and Shenandoah, moving Azul from custom hardware read-barrier instructions to x86, the two-space invariant in concurrent copying collectors, IBM Metronome fixups versus two-space invariants, detecting same-page references by XOR of two pointers, trading computation for memory accesses in read barriers, the Transitive Corporation binary translator, Rosetta for Apple and a Sparc-to-Power translator behind IBM's planned Sun acquisition, writing Android Runtime ART, ahead-of-time compilation of Dex replacing Dalvik, disk-size constraints of AOT compilation, Hans Boehm and sticky mark bits for generational marking without moving objects, ART generational concurrent garbage collection in Android KitKat, HashMap interface dispatch replacing LinkedList iteration from JikesRVM, alphabetically sorted interfaces putting AbstractCollection first, Google Maps interface dispatch consuming half the frame time, frame-rate and pause-time gains from ART, WhatsApp broken by an unbalanced-lock bytecode obfuscator, balanced locks required for biased locking, thread safety annotations in Clang/LLVM guarding the Java heap, the mutator lock and stale pointer risks, a reader-writer lock model of the Java heap, managing risk when replacing an operating system runtime, CyanogenMod as a delivery path for ART, Project Valhalla value types, current work on the Linux perf tool and observability, OProfile origins, GPU versus CPU visibility in system tools Ian Rogers on linkedin: irogers

DHH is the creator of Ruby on Rails, Omarchy Linux, CTO of 37signals, and a racecar driver. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep501-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/dhh-2-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: DHH’s X: https://x.com/dhh DHH’s Blog: https://world.hey.com/dhh Omarchy: https://omarchy.org Ruby on Rails: https://rubyonrails.org 37signals: https://37signals.com SPONSORS: To support this podcast, check out our sponsors & get discounts: Wispr Flow: AI-powered voice dictation app. Go to https://wisprflow.ai/lex Blitzy: AI agent for large enterprise codebases. Go to https://blitzy.com/lex NetSuite: Business management software. Go to http://netsuite.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Plaud: AI-powered note-taking devices and software. Go to https://plaud.ai/lex Higgsfield AI: AI-based video generation, filmmaking, and creative studio. Go to https://higgsfield.ai Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:14) – Sponsors, Comments, and Reflections (08:56) – Programming with AI agents (24:14) – How software will change (33:30) – AI impact on open source (43:21) – Building Omarchy Linux distro (53:05) – Vibe coding vs agentic engineering (1:06:06) – The end of manual programming (1:16:24) – Advice for programmers (1:28:31) – Surviving Internet Hate (1:37:46) – Programming setup for AI Agents (1:50:11) – Obsessing about speed (2:13:06) – Voice prompting vs typing (2:27:05) – Best AI coding models (2:43:55) – Best AI coding harnesses (2:56:57) – AI video generation and filmmaking (3:16:28) – Fatherhood (3:44:35) – Linux will win the desktop (3:55:51) – PewDiePie (4:05:25) – Future of programming (4:28:18) – Politics and immigration (4:59:55) – Longevity, over-optimization, and fear of death (5:11:38) – Eternal recurrence and future of human civization

Topics covered in this episode: Web UIs for your reverse proxy Wagtail 8.0 is hot off the presses RISC-V is now officially supported by CPython Django's annual releases make every version an LTS Extras Joke Watch on YouTube About the show Sponsored by Logfire from Pydantic: pythonbytes.fm/logfire Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Web UIs for your reverse proxy Traefik, nginx, and Caddy all sit in front of a lot of self-hosted infrastructure, and all three are configured by hand-editing files. Three active projects put a control plane on top: Traefik Manager (Python + Flask), Nginx UI (Go + Vue), and caddy/ui (React + Node). All three are additive rather than replacements - none of them take ownership of your config away from you - which is the part that matters when the thing has write access to production routing. Traefik Manager is the Python one: Flask 3.1 and Gunicorn for the control plane, a lightweight Go agent for remote instances, currently v1.10.0 with an Android companion app. Nginx UI is a single Go binary at 11.3k stars, with a block-style config editor, an Ace editor doing LLM completion on nginx syntax, and an MCP server so agents can drive it. caddy/ui runs as two containers next to your existing Caddy, reads and writes your Caddyfile directly, and uses Caddy's /adapt API to validate before reload - no Docker socket required. Each one edits the config the underlying server already reads, so your files stay the source of truth and you can drop the UI without unwinding anything. Undo is a first-class feature across all three - timestamped backups with optional Git history, config version compare and restore, Caddyfile snapshots with one-click rollback. Observability is where they diverge: Traefik Manager does CrowdSec and a visual route map, Nginx UI does server metrics, caddy/ui streams access logs over SSE and pulls p50/p95/p99 off Caddy's Prometheus endpoint. Maturity spread is wide - Nginx UI has 11.3k stars, caddy/ui has 4 and was built in a single Claude session - and caddy/ui ships with auth off by default, so set CADDY_UI_USER and JWT_SECRET before it goes anywhere near a public interface. Calvin #2: Wagtail 8.0 is hot off the presses Link: https://github.com/wagtail/wagtail/releases/tag/v8.0 Custom base page models are now supported, so projects aren't locked into subclassing Wagtail's Page as shipped (Matt Westcott). New v3 REST API handles both read and write CMS operations, a first for Wagtail's API. A global registry for permission policies, plus full customizability for the remaining page views via PageViewSet. AVIF and WebP images are no longer auto-converted to PNG by default, a real behavior change to watch on upgrade. Five security fixes: page admin API restrictions, document identification by SHA1 hash, descendant collections in the Documents/Images API, snippet copy permissions, and the page translation endpoint. Formalized Django 6.1 support, and CI now runs on uv with a lockfile. Sponsor: Logfire from Pydantic Your AI agent failed at 2am. Was it the model? A tool call? The database? Most observability tools can't tell you, because they only see part of your stack. Pydantic Logfire sees all of it. One trace across your agents, LLMs, APIs, and database. Down to the infrastructure: services, Kubernetes, and hosts. It's built on OpenTelemetry, with SDKs for Python, TypeScript, and Rust, and it works with any OTel-compatible language. Every prompt, token count, and cost, right next to your vector searches and API calls. You query everything with Postgres-compatible SQL. And so can your coding agent, through the Logfire MCP server. Stop guessing. Read the trace. Pydantic Logfire. AI, it's still just engineering. Visit pythonbytes.fm/logfire today and sign up today. Get 10M records free every month, no card required. You can even click “Onboard with your coding agent” to copy a prompt to have claude or codex integrate Logfire into your app. Thanks to Pydantic for supporting the show. Calvin #3: RISC-V is now officially supported by CPython Link: https://blog.python.org/2026/08/riscv-now-officially-supported/ CPython added RISC-V as a tier 3 platform under PEP 11, specifically the 64-bit Linux target riscv64-unknown-linux-gnu. RISC-V is an open ISA anyone can implement, unlike x86 and ARM, and its market is projected to quadruple by 2032. The RISE Project donated real RISC-V machines for buildbots; the author's work was funded by a Sovereign Tech Agency fellowship. What changes: the port is now a maintained compatibility target, so CPython changes are less likely to quietly break it. What doesn't: no python.org installers, no binary wheel parity for native extensions. Next up: RISC-V runners in CPython CI for pre-merge feedback, then a push toward tier 2, plus architecture-specific optimizations. The ask is testing. If you have RISC-V hardware, build CPython, run your test suite, file what breaks. Tier 3 is the weakest support tier. PEP 11 tier 3 requires a core developer contact and a buildbot, but failures on tier 3 platforms explicitly do not block a release. Saying "ongoing CI/testing expectations" oversells it. The honest bit is "someone is now on the hook for it, and breakage gets noticed," not "it's guaranteed working." Worth the caveat that this is Linux SBCs, not microcontrollers. A VisionFive 2 counts, an ESP32-C6 or Pico 2 does not. Those are 32-bit non-Linux parts where MicroPython is still the answer. Michael #4: Django's annual releases make every version an LTS Starting with Django 2028, Django will move to one January feature release per year, adopt calendar-based version numbers, and support every release for three years. The old distinction between standard and LTS releases disappears, giving teams a predictable annual upgrade path that aligns more closely with Python's own release and support cadence. Every Django release becomes the safe, long-supported choice, so teams no longer need to wait for a specially designated LTS version or absorb two years of changes at once. Each release gets one year of mainstream bug fixes followed by two years of security and data-loss fixes. New releases support the three latest Python versions and add the next Python release during their first year. Calendar versioning begins with Django 2028, followed by Django 2029 and so on. Three Django versions will be supported at any time, giving third-party packages a clearer rolling target. Nothing changes before 2028, and existing commitments for Django 5.2 LTS and 6.2 LTS remain in place. Extras Calvin: The Python docs now document the time complexity of built-in types https://docs.python.org/3.16/library/time-complexity.html Thinking in Python - Bruce Eckel's free book https://thinkinginpython.com/ Michael: prune_uv_pythons.py - Prune uv-managed Python installs, keeping only the newest patch per minor version Runs automatically in my system “upgrade” script: upgrade-output-2026.png Started using Ollama cloud models for my Hermes assistant. Thanks to Jeff Triplett I learned they are not just local models. Joke: The Tao of Programming - Book Seven: Corporate Wisdom

Check out the second installment of our new segment "Steve Scale" as Steve digs into the Ovens family distro. What is BootC and why does he use it? LG is pushing ads to your monitor, and we introduce you to CachyOS. -- During The Show -- 00:48 Tech Updates Oven's standard public build Upstream BootC breakage & recovery Static vs Rolling Best way forward A/B Scheme Method of recovery Container Registry Container layers Noah's new technology phases Would Steve move away from Arch? How work load changes workstation requirements Flameshot 29:30 BootC - Adam Not public yet Docs Site Let Steve know what you are looking for Balancing privacy and openness Securely sanitizing PII from docs Documentation pipeline The other side of documentation Tell us if you want to hear about documentation 41:20 News Wire Rhythmbox 3.5 - gitlab.gnome.org FFmpeg 9.0 - ffmpeg.org OpenLDAP 2.7 - openldap.org Mesa 26.2 - torproject.org GCC 16.2 - phoronix.com IceWM 4.1 - phoronix.com Gnome 50.4 - discourse.gnome.org Tails 7.10.1 - torproject.org DietPi 10.6 - dietpi.com Spark Model - cnbc.com Nemotron 3.5 Lightning - cnbc.com CloudFlare Vibe-Coding Platform - arstechnica.com 42:38 LG Monitor Ads MS Update installs LG bloatware ads Monitor prices dropped Known affected models 34GX900A-B 45GX950-B.AEU 32GS95UE-B 39GX950B 27GP83B-B 27GN800 32GS95UE-B 27GN850-B Linux was unaffected Possible on Linux with proprietary software ArsTechnica 47:50 CachyOS Gentoo meets Arch Targeted towards modern hardware LTO and BOLT Advantage of custom Linux Kernel Kernel scheduler Zen 4 optimization Hyperland My Linux for Work GitHub 9 to 5 Linux -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard Phone Systems for Ask Noah provided by Voxtelesys Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux Ask Noah Show Altispeed Technologies

A weekly news show informing you on the latest in Bitcoin, privacy and open source tech, hosted by Ungovernables, Max and Q.AOB (Any Other Business)- KeyOS v1.4.0 now available to test- Envoy 2.3.2- New website is live: https://ungovernable.network- Great AI chat with Seth on FTF- Talk about the brief going weekly??NEWS9/11 Families File Claim Over US Government's 127,271 Seized BitcoinPublished: 2026-08-23 | Source: The RageTrezor Shipping Provider Breach Leaks Data on ~14,000 CustomersPublished: 2026-08-13 | Source: Bitcoin MagazineChainalysis Sues US Gov Over $95M ICE Blockchain Surveillance ContractPublished: 2026-08-18 | Source: The RageLND Reorg Vulnerability Disclosed: Channel Funds Drainable Before v0.20.0Published: 2026-08-21 | Source: Bitcoin Optech Newsletter #419Iceberg Paper: Threshold Custody on Lightning Without Protocol ChangesPublished: 2026-08-22 | Source: ePrint 2026/1757RELEASESBisq 2 v2.1.12 — 2026-08-22: Mandatory security update addressing vulnerabilities from a recent audit. Adds reputation privacy via nullifiers and day buckets, strengthens bonded-role registrations with oracle validation, and improves bridge reliability. Updating is required to continue trading.Bisq 1.10.6 — 2026-08-21Hotfix for critical trade failures introduced in v1.10.5. Mandatory update for anyone who took the security patch.Zeus 13.2.0 — 2026-08-22Stable release adds LDK support for 24-word seed phrases, upgrades embedded LND to v0.21.2-beta, upgrades Cashu CDK for Minibits compatibility, and lets users set custom Mempool instances for improved privacy. Security hardening and bug fixes included.Frostsnap v0.4.0 — 2026-08-23Major update with 142 commits. Adds firmware downgrade protection, secure-boot signer verification at build time, descriptor checksum generation, 1-of-N threshold warnings, and unique device name enforcement during keygen.Flint v0.1.5.2 — 2026-08-23Seth for Privacy's BTCPay Server plugin for nodeless Lightning via the Breez Spark SDK. v0.1.5 addresses findings from a third external security review: fixes negative fee wrapping, restores the sweeping opt-in toggle, and gates token write-offs on balance. v0.1.5.2 hides stored API keys from the admin UI.Bull Bitcoin Mobile 6.13.0 — 2026-08-18Adds Payjoin support across wallet and exchange flows with configurable minimums and session lifetimes. Introduces a temporary swap service while Boltz is unavailable, Liquid UTXO consolidation warnings, and BTC Map integration.QUICK MENTIONSMostro 0.18.5 -- Aug 2026. NIP-44 default encryption for P2P exchange over Nostr.Peach Bitcoin 0.69.0 -- Aug 2026. Nym VPN integration for no-KYC P2P trading.Fulcrum 2.1.2 -- Aug 2026. ARM64 Docker support for the high-performance Electrum server. BTCPay Server v2.4.2 -- 2026-08-10. Critical security patch fixing actively exploited TOTP 2FA bypass. Basic auth now disabled by default. (News angle covered last episode.) Fedimint v0.11.2 -- 2026-08-13. Security release preventing a gateway from losing funds to malicious counterparties, binding Lightning contracts more strictly to offers, and hardening request handling. Backported as v0.10.1 same day. RoboSats v0.8.6-alpha -- 2026-08-15. Security hardening, removes three coordinators (Bitcoin Venetto, WhiteEyeSats, OverTheMoon), adds encrypted image uploads in chat and visual warnings for low-bond orders. Aqua Wallet v0.5.2 -- 2026-08-16. Warning messages for temporarily unavailable Lightning swaps, shows swap provider per transaction, requires TLS with domain verification for custom Electrum servers. Cake Wallet v6.4.1 -- 2026-08-12. Zcash performance after Ironwood shielded pool migration. AnyPay auto-detects address types and routes correctly. Ride The Lightning 0.15.11-beta -- 2026-08-18. Establishes vulnerability disclosure channel, closes credential-crossing race in LND controllers, reduces dependency tree. Coldcard Firmware 5.6.1 -- 2026-08-20. New firmware for Mk3/Mk4 line. (Context: follows the entropy bug disclosure from last episode.) Coldcard Q1 Firmware 1.5.1Q -- 2026-08-20. Q1 model firmware update.Trezor Suite 26.8.2 -- 2026-08-20. Adds BIP-321 URI support for QR payments, redesigns activity page, adds profit/loss tracking. (Context: arrives alongside the shipping breach disclosure.)Arkade TS SDK Swap 0.0.7 -- 2026-08-18. SQLite and Realm storage backends, swap failure reporting improvements.EDUCATIONBTC Sessions Launches "Sovereign Sessions"Mid-August 2026 — Ben Perrin — youtube.com/@SovereignSessionsBen Perrin has spun off all tutorial content into a dedicated channel covering Bitcoin, self-hosted AI, privacy tools, and sovereign computing. Planned content includes GrapheneOS, ZAP Store, Start9, Parmanode, self-hosted Fedimint, and Blockstream Wallet walkthroughs. A significant move from one of Bitcoin education's most recognisable creators; the expanded scope reflects where freedom tech is heading.Bitcoin Lightning Node Setup: 12 Steps in 45 MinutesAugust 16, 2026 — Daniel Roth — https://shattered.ioStep-by-step LND v0.21-beta Lightning node setup guide, claiming the process now takes about 45 minutes. Fresh, practical self-sovereignty content; the "45 minutes" framing makes Lightning node operation feel accessible.C.A.S.I.N.O. Dice Roll ProtocolAugust 9, 2026 — Orange SurfA proposed standard for using physical dice to generate seed entropy: rate-limited entry, input validation, minimum 100+ rolls, offline-only operation. Emerged following the Coldcard entropy incident. A practical, opinionated standard for the most fundamental self-custody operation.Ark Protocol: VTXOs and the Virtual Transaction TreeAugust 21-23, 2026 — Elle Mouton — https://ellemouton.comA detailed technical walkthrough of Ark's Virtual UTXO design: how multiple users share a single on-chain UTXO with individual custody via pre-signed exit trees. A clear explainer from a respected developer.TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateHELP GET SAMOURAI A PARDONSIGN THE PETITION ----> https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools DONATE TO THE FAMILIES w/ USD ----> https://www.givesendgo.com/billandkeonneDONATE TO THE FAMILIES w/ BTC ----> https://pay.zaprite.com/pl_JpxtkLv95T SUPPORT ON SOCIAL MEDIA ---> https://billandkeonne.org/VALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ungovernable- BUY SOME STICKERS @ https://ungovernable.network/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.(00:00:00) INTRO(00:00:57) THANK YOU FOUNDATION(00:01:38) THANK YOU CAKE WALLET(00:02:44) Still on the Wagon(00:10:24) Updates @ Foundation(00:29:52) New Website!(00:33:43) Nerd Out on Home AI with Seth(00:44:51) NEWS(01:04:34) BOOSTS(01:07:11) UPDATES & RELEASES(01:09:39) EDUCATIONAL PIECES(01:10:57) THANK YOU MYNYMBOX

Check Out Echoplex Radio iTunes, Stitcher, Google, iHeart, Spotify, RSS, Odysee, Twitch, YouTubeSupport This Project On Patreon Check Out Our Swag Shop Join Our Discord Server Check out our Linux powered studio!‍ ‍Host: Producer DaveDocket: https://tinyurl.com/8-23-2026Members ShowFourthwallPatreon

Sorg, Katie Dudas, and Dave Podnar are back for another round of geeky tech, gadgets, games, collectibles, and Pittsburgh happenings. The episode opens on a somber note with a tribute to Dolly Parton and the impact of her philanthropy, including her work supporting childhood literacy. Then the crew gets into everything from simulated RC racing and Apple's latest Macs to a life-size Grogu, Linux history, Pokémon fossils, GTA VI leaks, and gaming at Pittsburgh International Airport. Topics discussed include: Remembering Dolly Parton – The crew reflects on Parton's passing, her charitable legacy, her support of literacy programs, and the positive impact she made far beyond entertainment. RC racing meets full-size driving simulators – Sorg discovers first-person RC car racing setups that combine tiny vehicles, onboard cameras, and full simulator rigs. The conversation explores CloudRC, RC aircraft, and whether experiences like this could become the next arcade, mall, or Dave & Buster's attraction. Apple updates the Mac mini and Mac Studio – Dave breaks down Apple's new Mac hardware, including the M6 chip, pricing, local AI performance, and the ability to combine machines over Thunderbolt 5. The crew discusses why local AI processing could become increasingly important for businesses dealing with cloud costs, privacy, and sensitive data. Pokémon Fossils invade Chicago – Chachi reports from the Pokémon Fossil Museum exhibit at Chicago's Field Museum, where fossils inspired by the games are compared with real paleontology. The exhibit even includes Pokémon GO bonuses and limited merchandise. Dungeon Crawler Carl and 3D printing – Katie opens her mysterious box of 3D-printed creations from Chachi's Plastic Fun Time shop, including Dungeon Crawler Carl characters, ornaments, magnets, Pokémon-inspired pieces, the infamous Rock Lobster, and more. Linux turns 35 – Dave traces the unlikely chain of events connecting AT&T antitrust action, UNIX, GNU, Linus Torvalds, and the operating system that became one of the foundations of modern computing. There's even a bonus discussion about Linux running on a Sega 32X. Kingdom Hearts expands – Chachi's Video Game Minute covers a 2027 release window for Kingdom Hearts 4 and a planned animated Kingdom Hearts series for Disney+. Mattel builds its own game studio – Mattel is expanding its internal video game operation with hundreds of developers and new games based on properties including UNO and Hot Wheels. GTA VI leaks and the digital ownership fight – The show looks at reported leaks of Grand Theft Auto VI material tied to protests over digital-only game distribution and the broader debate over whether players actually own their digital purchases. Transformers comes to Minecraft – Sorg and Katie explore the Transformers content available through the Minecraft Marketplace, including G1-inspired characters, story-based gameplay, combat modes, and plenty of temptation for Transformers fans. A nearly life-size Ultimate Grogu – Hasbro Pulse has a roughly 14.6-inch animatronic Grogu featuring movement, sounds, multiple interaction modes, cosplay-friendly settings, and a $599.99 price tag. Nature Calls restroom finder launches – The crowdsourced restroom-finding app discussed on an earlier AwesomeCast is now available, helping users locate bathrooms, water fountains, porta-potties, and other facilities. Gaming at Pittsburgh International Airport – Sorg checks out Gameway, a gaming lounge at Pittsburgh International Airport offering video games, snacks, drinks, and another option for travelers with time before a flight. Disney characters meet NFL teams – Disney and the NFL have teamed up for team-specific character merchandise. The Pittsburgh Steelers get Pete, while other combinations include Captain America with the Patriots, Thor with the Vikings, Darth Vader with the Raiders, and more. The crew also checks in on their recent Pittsburgh Shootout adventures and previews more of what's happening around the Sorgatron Media universe. RC Racing / CloudRC https://www.instagram.com/reels/Db2l4aVjpRO/ https://store.cloudrc.com/ Plastic Fun Time 3D Prints https://plasticfuntime.etsy.com/ Apple Mac mini / Mac Studio Updates https://www.wired.com/story/apple-announces-m6-and-m5-ultra-mac-mini-mac-studio/ 35 Years of Linux https://www.tomshardware.com/software/linux/linux-was-announced-by-linus-torvalds-35-years-ago-today-humble-os-started-with-10-000-lines-of-code-but-has-now-grown-to-40-million-dominates-global-infrastructure Kingdom Hearts Announcements https://thewaltdisneycompany.com/news/games-d23-digital-entertainment/ Mattel Game Studios https://kotaku.com/the-toy-maker-behind-barbie-and-hot-wheels-wants-to-make-its-own-video-games-2000724968 GTA VI Leak Story https://www.tomshardware.com/video-games/hacker-leaks-gta-vi-gameplay-and-map-to-protest-digital-only-release-claims-pre-orders-are-a-legacy-of-physical-game-releases Transformers Minecraft https://www.facebook.com/reel/1056475313409694 Nature Calls Restroom Finder – iOS https://apps.apple.com/us/app/find-toilets-nature-calls-run/id6790583853 Ultimate Grogu https://www.hasbropulse.com/product/star-wars-ultimate-grogu/G44835S00 Pittsburgh Airport Gameway https://www.instagram.com/reel/DcbcVbCBU34/?igsi=MTJweXZ1N2N4cTZ1dg== https://www.facebook.com/reel/1089385550715987 Disney x Pittsburgh Steelers https://www.nflshop.com/pittsburgh-steelers/disney/t-36604861+c-1202616796+z-8-2894738209?ab=%7Bwt-static_graphic%7D%7Bpt-TLP%7D%7Bal-HMB%7D%7Bct-Pittsburgh_Steelers_disney%7D

To celebrate 400 episodes, we look back of the last (almost) ten years of positive Linux and FOSS news. Plugs Piss up at The Shipwrights Arms (just next to London Bridge station) on Saturday 5th September from 5pm until late Support us on patreon and get an ad-free RSS feed with some early episodes 9.5 years of good news Thunderbird Is Thriving: Our 2022 Financial Report (May 2023) Asking for donations in Plasma (Aug 2024) I think the donation notification works (Dec 2024) Ubuntu 25.10 and Fedora 43 to drop X11 in GNOME editions (Jun 2025) An update on the X11 GNOME Session Removal (Jun 2025) GNOME Mutter Now “Completely Drops The Whole X11 Backend” (Nov 2025) KDE Going all-in on a Wayland future (Nov 2025) Give Fedora Silverblue a test drive (Sept 2018) KDE Linux Alpha has been released (Sept 2025) Introducing a new version of Steam Play (Aug 2018) Steam Deck Launching February 25th 2022 Steam Machine, controller, VR headset incoming from Valve (Nov 2025) Canonical Builds Steam Snap For Ubuntu ARM64 Leveraging FEX (Jan 2026) Announcing WSL 2 (May 2019) How one volunteer stopped a backdoor from exposing Linux systems worldwide (Apr 2024) Linux has made it to Mars (Feb 2021) Mars Helicopter Ingenuity will fly no more (Jan 2024) See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

News Sources: https://lmg.gg/zIgoh Timestamps: 0:00 China drops Windows for Linux 1:08 PlayStation blackout over disc games 2:06 CXMT accused of stealing Samsung DRAM tech 4:18 QUICK BITS INTRO 4:28 Nintendo wipes Switch emulator repos 5:06 Google restricts sideloading 5:48 Flock's new people search tool 6:44 AliExpress audio fingerprinting 7:25 Cookies made from plastic bottles 8:10 Credits Learn more about your ad choices. Visit megaphone.fm/adchoices

Au programme :Focus sur une synthèse de l'actualité tech et IA de l'été, avec un épisode de rentrée au format inhabituel, centré sur les sujets les plus marquants et les retards de juillet et août.Apple et OpenAI sont au cœur d'un affrontement juridique autour d'accusations d'accès à des ressources internes et de recrutement d'anciens employés d'Apple. L'épisode revient aussi sur le plugin ChatGPT sur macOS, capable d'accéder aux messages SMS, RCS et iMessage avec l'accord de l'utilisateur.Le débat se concentre ensuite sur l'étiquetage des contenus générés par IA, dans le cadre de l'AI Act européen. Sont évoqués les chatbots, avatars, deepfakes, textes générés sans contrôle humain, ainsi que les marquages invisibles chez Google et Anthropic, et les limites pratiques de cette régulation.Un autre axe important concerne l'IA comme changement de structure industrielle : évolution des grands modèles, montée en puissance de Google et d'OpenAI, réorganisation de Demis Hassabis, et nouveaux modèles orientés vers le code, les maths et les agents. Il est aussi question d'Astra, de risques cyber, de coûts de calcul et de recherche mathématique assistée par IA.L'épisode traite également des impacts économiques et techniques : consommation d'énergie des centres de données, hausse des coûts, plafonds de dépenses IA chez Microsoft et d'autres entreprises, montée des tensions autour des data centers, et apparition d'outils comme Kitesurf de Cloudflare pour les agents.Enfin, plusieurs sujets français et grand public sont passés en revue : cyberattaques touchant des services publics et privés, interdiction des réseaux sociaux aux moins de 15 ans retoquée, progression de Linux, difficultés de Windows 11, hausses de prix des licences OEM, ainsi que les prochains produits Apple, dont un iPhone pliant, de nouveaux accessoires et des évolutions possibles pour la maison connectée.Infos :Animé par Guillaume Vendé (Tech Café, Bluesky)Co-animé par Baptiste Freydt (Niptech, Niptech Inspire)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 678 – Astra, marquages IA et toujours plus de Linux : le récap de l'été !---Liens :Soutien :

To celebrate 400 episodes, we look back of the last (almost) ten years of positive Linux and FOSS news. Plugs Piss up at The Shipwrights Arms (just next to London Bridge station) on Saturday 5th September from 5pm until late Support us on patreon and get an ad-free RSS feed with some early episodes 9.5 years of good news Thunderbird Is Thriving: Our 2022 Financial Report (May 2023) Asking for donations in Plasma (Aug 2024) I think the donation notification works (Dec 2024) Ubuntu 25.10 and Fedora 43 to drop X11 in GNOME editions (Jun 2025) An update on the X11 GNOME Session Removal (Jun 2025) GNOME Mutter Now “Completely Drops The Whole X11 Backend” (Nov 2025) KDE Going all-in on a Wayland future (Nov 2025) Give Fedora Silverblue a test drive (Sept 2018) KDE Linux Alpha has been released (Sept 2025) Introducing a new version of Steam Play (Aug 2018) Steam Deck Launching February 25th 2022 Steam Machine, controller, VR headset incoming from Valve (Nov 2025) Canonical Builds Steam Snap For Ubuntu ARM64 Leveraging FEX (Jan 2026) Announcing WSL 2 (May 2019) How one volunteer stopped a backdoor from exposing Linux systems worldwide (Apr 2024) Linux has made it to Mars (Feb 2021) Mars Helicopter Ingenuity will fly no more (Jan 2024) See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

A weekly live show covering all things Freedom Tech with Max, Q and Seth. HELP GET SAMOURAI A PARDONSIGN THE PETITION ----> https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools DONATE TO THE FAMILIES w/ USD ----> https://www.givesendgo.com/billandkeonneDONATE TO THE FAMILIES w/ BTC ----> https://pay.zaprite.com/pl_JpxtkLv95T SUPPORT ON SOCIAL MEDIA ---> https://billandkeonne.org/TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateVALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ungovernable- BUY SOME STICKERS @ https://ungovernable.network/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.

A couple of episodes ago we talked to Carl George about EPEL, and half that conversation ended up being about CentOS. The questions kept coming, so we made a whole episode out of it. This is the biggest panel the show has ever had. Amy Marrich chairs the CentOS Board and does technical marketing for OpenStack at Red Hat. Troy Dawson leads the CentOS Stream team, sits on the board, and builds CentOS Stream for RISC-V. Shaun McCance is the CentOS Community Architect, and as of two weeks ago the Fedora Community Architect as well. We get into: Why CentOS Linux and CentOS Stream are different projects, and why one of them retired around RHEL 9 The pipeline: Fedora, then Fedora ELN, then CentOS Stream, then RHEL, and why Btrfs is the example everyone reaches for How Stream and RHEL now build from the same commit, on a one-week cadence versus six months Why partners shipped on RHEL 9 launch day because they had been building against Stream 9 How the board actually works, why only one seat speaks for Red Hat, and what the SIGs and the SIG Council do Where to file a bug (against RHEL, not at Troy) How to contribute without writing code, and why being new makes you good at documentation There is a written companion post at https://itguyeric.com/blog/fedora-ep59-what-is-centos/Special Guests: Amy Marrich, Shaun McCance, and Troy Dawson.

There are bad practices that no one should do when they get involved in opens source communities.In this segment of the My Open Source Experience podcast Greg Kroah-Hartman shares three examples from Linux history where people followed some bad patterns, which then somtimes resulted in raising the bar for everyone else.1. Merge and DisappearGreg shares an example where someone contributed a big change to the core parts of the kernel, and then became unreachable. It took the Linux community quite some time to unwind the changes and clean up the code. All open source communities are based on trust, when someone betrays that they make it harder for other to build trust as well. The community is more flexible with changes that are well isolated, like a filesystem or a driver, but you still can't betray peopl's trust with any of your actions during the contrubution process.2. Binary driversIt's a NO, you also don't want that, but also, you just can't. Some companies used to apply a trick, but they've been coming around as well.3. Never experiment on a community, especially without a consentGreg shares the interesting story when a university professor and some students went ahead and wrote a paper about submitting and landing patches in the Linux kernel that introduced vulnerabilities. It turned out that they weren't truthful in their paper, and also forgot to notify everyone about the experiment. While the university was banned for a while, this turned out to be a story with a happy ending with students now contributing to the kernel as part of their studies.Further advantage of open source SW development methods is that the change history is available online, the community can always go back and remove code if a controller becomes untrustworthy at any point in time after getting their changes merged.#opensource #community #collaboration #experience #podcast Hosted on Acast. See acast.com/privacy for more information.

Josh chats with Paul Asadoorian about a tool he wrote called fettle and a recent report Paul published on CVEs. Fettle is a tool to help update and manage Linux systems. The big sell on this one is checking if your firmware is out of date. We then talk about a report Paul created that doesn't obsess over CVEs, but rather the vendor updates. It makes more sense to worry about advisories as those are actionable, where CVEs often are not. It's a great chat and Paul is a legend in the industry. The show notes and blog post for this episode can be found at https://opensourcesecurity.io/2026/2026-08-paul-fettle-cve  

video: https://youtu.be/lBJDyzkJbCI Linux 7.2 is here with a ton of new kernel improvements. Desktop Linux has crossed a major milestone for usage with more than 10% in North America and 7% globally. Arch Linux has announced some changes they are making to the way the AUR works because of the latest Malware attacks. Plus there's some big KDE news this week. KDE is bringing back LTS support with a much bigger "Bullet-Proof KDE" approach, and Framework has announced the next edition of the Framework Laptop 12 and it's coming with a preinstalled option of Fedora KDE. There is a LOT happening in the Linux world right now, and some of these stories get pretty wild. So here's Your Source for Linux GNews and see what's happened This Week in Linux. Download as MP3 Support the Show Become a Patron = tuxdigital.com/membership Store = tuxdigital.com/store Chapters: 00:00 Intro 00:52 Support the show (Become a Member) 01:43 Linux 7.2 Released 04:50 Linux crosses 10% in Desktop Market Share 10:53 Arch Linux changes how AUR Adoptions work after Malware waves 13:06 "Bullet-Proof KDE" brings LTS Support back to KDE 16:29 Framework Laptop 12 with Fedora Linux Preinstalled 19:39 NVIDIA, GOG, & Epic Games to compete with Valve on Linux Gaming Ecosystem 23:01 Steam Deck 1% lows improve by as much as 32% 25:27 Ubuntu Touch 24.04-2.0 Released 27:28 NVIDIA Becomes a Premier Sponsor of LVFS/Fwupd 28:48 FFmpeg 9.0 Released 29:56 Support the show 31:21 Outro Links: Linux 7.2 Released https://lwn.net/Articles/1089033/ https://kernelnewbies.org/Linux_7.2 https://www.phoronix.com/review/linux-72-features https://www.phoronix.com/news/Linux-7.2-Released Linux crosses 10% in Desktop Market Share https://gs.statcounter.com/os-market-share/desktop/north-america#monthly-202505-202606 https://radar.cloudflare.com/explorer?dataSet=http&groupBy=os&dt=2026-07-01_2026-07-31&loc=north-america&filters=deviceType%253DDESKTOP%252CbotClass%253DLIKELY_AUTOMATED https://store.steampowered.com/hwsurvey/ https://www.linux-magazine.com/Online/News/Linux-Surpasses-Double-Digit-Market-Share Arch Linux changes how AUR Adoptions work after Malware waves https://lists.archlinux.org/archives/list/aur-general%40lists.archlinux.org/thread/DRDEU3JUSC72CB265XHXPFA3DFSLXPBP/ https://lists.archlinux.org/archives/list/aur-general%40lists.archlinux.org/thread/P5C7GZ4C3OJIH4EXJ62JAF6X6PY2BCQ4/ https://archlinux.org/news/active-aur-malicious-packages-incident/ https://lists.archlinux.org/hyperkitty/list/aur-general%40lists.archlinux.org/latest?count=200 https://lists.archlinux.org/archives/list/aur-general%40lists.archlinux.org/message/NNNGQYXYGBYGESV35AEQV2PLAVMMLW64/ "Bullet-Proof KDE" brings LTS Support back to KDE https://www.kubuntu.org/news/plasma-6.6-lts/ https://pointieststick.com/2026/08/ https://www.phoronix.com/news/KDE-Bullet-Proof-Software Framework Laptop 12 with Fedora Linux Preinstalled https://frame.work/blog/framework-laptop-12-now-with-core-series-3 https://frame.work/laptop12 https://youtu.be/459a7YBmBOE https://youtu.be/yE48_MN8Ng4 https://www.phoronix.com/news/Framework-Laptop-12-WCL NVIDIA, GOG, & Epic Games to compete with Valve on Linux Gaming Ecosystem https://blogs.nvidia.com/blog/geforce-now-thursday-linux-native-app/ https://www.gamingonlinux.com/2026/01/the-native-linux-app-for-nvidia-geforce-now-is-now-in-beta/ https://www.phoronix.com/review/nvidia-geforce-now-linux https://www.gamingonlinux.com/2026/07/gog-confirm-they-are-working-towards-gog-galaxy-on-linux/ https://www.gamingonlinux.com/2026/08/epic-games-store-will-get-a-linux-version-sometime-soon/ https://www.pcgamer.com/hardware/the-epic-games-launcher-will-be-available-on-linux-soon-says-dev-after-its-had-a-bit-of-work Steam Deck 1% lows improve by as much as 32% https://www.phoronix.com/news/AMD-P-State-Better-1p-Lows https://www.pcgamer.com/hardware/handheld-gaming-pcs/linux-kernel-patch-can-boost-the-steam-decks-1-percent-low-frame-rate-by-as-much-as-31-percent-in-early-testing/ Ubuntu Touch 24.04-2.0 Released https://ubports.com/blog/ubports-news-1/ubuntu-touch-24-04-2-0-and-24-04-1-4-release-4007 NVIDIA Becomes a Premier Sponsor of LVFS/Fwupd https://www.linuxfoundation.org/press/linux-foundation-announces-key-industry-support-for-linux-vendor-firmware-service https://www.phoronix.com/news/NVIDIA-Premier-Sponsor-LVFS https://www.gamingonlinux.com/2026/08/nvidia-now-supporting-the-linux-vendor-firmware-service-lvfs-as-a-premier-sponsor/ https://www.fwupd.org/ FFmpeg 9.0 Released https://www.ffmpeg.org/ https://ffmpeg.org/releases/ https://www.phoronix.com/news/FFmpeg-9.0-Released Support the show https://tuxdigital.com/membership https://store.tuxdigital.com/

It's been a while since we checked in on note-taking apps and ways to wrangle their data, and a lot has changed with our personal use cases on that front. Will has gone deep on Notion's relational capabilities and seen how well they can support a shared knowledge base for a team of a couple dozen people. Meanwhile, Brad has done a survey of apps targeted at the individual end user, with the goal of fully owning the data and controlling how and where it's synced. We round up everything we've discovered in this week's episode, with some detours into things like rclone cloud mounts, the amazing utility of the (nearly) universal format conversion tool pandoc, and more. Support the Pod! Contribute to the Tech Pod Patreon and get access to our booming Discord, a monthly bonus episode, your name in the credits, and other great benefits! You can support the show at: https://patreon.com/techpod

Syncthing saves the day in an unexpected way, and we dig into what's new in Linux 7.2.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

This week, kernel 7.2 is out, with cache-aware scheduling headlining an impressive set of features. Canonical is researching automated translation from C to Rust, Omarchy gets a big boost with the Omacom Foundation, and we're gaming with the official release of GeForce NOW. GIMP 3.4 is taking shape, KDE 6.8 has us excited, and the Arctic fan controller is particularly cool on Linux. For tips, we have minidlna for streaming media, rclone mount for local mounting remote cloud shares, and i2cdetect for looking for i2c devices. You can find the show notes at https://bit.ly/4x99iNw and try not to break your desktops! Host: Jonathan Bennett Co-Hosts: Jeff Massie and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Syncthing saves the day in an unexpected way, and we dig into what's new in Linux 7.2.

Macros: are they a superpower, a necessary evil, or a mistake? Support us on Patreon and get an ad-free RSS feed with early episodes sometimes See our contact page for ways to get in touch. Subscribe to the RSS feed

Macros: are they a superpower, a necessary evil, or a mistake? Support us on Patreon and get an ad-free RSS feed with early episodes sometimes See our contact page for ways to get in touch. Subscribe to the RSS feed

The boys are back! Tonight we talk about our favorite apps! ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

Download MP3 | Watch Video Episode Full Timestamps: https://docs.google.com/document/d/e/2PACX-1vQXzUWeL7-kPfvD63XJEQDoLYOUTIG0ZABPETWD7Czvy9RPxhs_Jny13GyOTCka4M3iXHq_WrvW9iXl/pub Watch full episodes: https://www.youtube.com/@CastleSuperBeastArchive New Steam Controller Review Durability is Just Ammo for your Sword XenoLIES How Asterdam 1666 Just Lost Everybody Rooting For It Super Bosses: I Love This, Now Get It Away From Me NEW CASTLE SUPER BEAST "LEGACY" SHIRT & DESKMAT AVAILABLE NOW: https://www.orchideight.com/collections/castle-super-beast Visit http://drinkag1.com/SUPERBEAST to get a FREE AG1 Pro Yeti Shaker in your AG1 Pro Welcome Kit. Head to http://factormeals.com/castle50off and use code castle50off to get 50% off and 1 free breakfast item per box for a year! Exclusive $35-off Carver Mat, Aspen, and Walden frames at https://on.auraframes.com/SUPERBEAST. Promo Code SUPERBEAST Docket: (Aftermath) 1666: Amsterdam uses so much GenAI they've essentially forgot which are AI assets Twitch now uses your channel to train generative AI by default. You can opt out of some training It's on by default because if it was opt In nobody would opt in Twitch isn't sure whether Amazon has used Twitch creator VODs prior to today to train its AI models. ︀︀The opt-out will apply to your previous and future content, so it will not be used to train future models. Saber Interactive has denied renewed claims that it replaced a former Lead Writer so it could "use ChatGPT" in the development of the recently announced title, Rideshare "Stimulator." In a statement to PC Gamer, Saber also acknowledged previously undisclosed genAI use elsewhere in the title. this CEO comment is how you know with 1000% certainty Stella is right  Hey everybody. I've seen the statement by Matt Karch, the CEO of Saber Entertainment, and all of the truly horrendous things he said about me. I think it should be obvious to anyone who reads that statement that he's lashing out because he did not want people to know there was AI use in the game. Invincible VS Developer Reportedly Laid Off "Something Like 75%" of Staff Tokon got cracked in less than 2 weeks and not only does it run better than the retail version, it also works on Linux. What was even the point of Sony shooting itself in the foot with all of that DRM? Not entirely so it turns out you can terminate the Playstation SDK in task manager and the game and online will still work you just won't be able to matchmake against PS players. So the PSN login BS is just for crossplay nothing else Retail version of the game is encrypted and decrypts the game in real time in 64kb chunks on 1 CPU core. Kingdom Hearts The Series announced for Disney+ Kingdom Hearts 4 - Official Coco Showcase Trailer | D23 2026 https://www.reddit.com/r/GamingLeaksAndRumours/comments/1vrklpn/comment/p4dyhik/