Podcasts about Apis

Professor Toby Wilkinson. After their defeat, Antony died in Cleopatra's arms. Cleopatra committed suicide to avoid Roman humiliation, ending the Ptolemaic dynasty. Octavian annexed Egypt, dismissing its religious traditions regarding the Apis Bull and exploiting the land solely as a grain source for the Roman Empire. 1900

Xmas Special: Recovering the Essence of Agile - What's Already Working in Software-Native Organizations In this BONUS Xmas Special episode, we explore what happens when we strip away the certifications and branded frameworks to recover the essential practices that make software development work. Building on Episode 2's exploration of the Project Management Trap, Vasco reveals how the core insights that sparked the Agile revolution remain valid - and how real organizations like Spotify, Amazon, and Etsy embody these principles to thrive in today's software-driven world. The answer isn't to invent something new; it's to amplify what's already working. Agile as an Idea, Not a Brand "The script (sold as the solution) will eventually kill the possibility of the conversation ever happening with any quality." We establish a parallel between good conversations and good software development. Just as creating "The Certified Conversational Method™" with prescribed frameworks and certification levels would miss the point of genuine dialogue, the commodification of agile into Agile™ has obscured its essential truth. The core idea was simple and powerful: build software in small increments, get it in front of real users quickly, learn from their actual behavior, adapt based on what you learn, and repeat continuously. This wasn't revolutionary - it was finally recognizing how software actually works. You can't know if your hypothesis about user needs is correct until users interact with it, so optimize for learning speed, not planning precision. But when the need to certify and validate "doing Agile right" took over, the idea got packaged, and often the package became more important than the principle. Four Fundamental Practices That Enable Living Software "Every deployment was a chance to see how users actually responded." Software-native organizations distinguish themselves through core practices that align with software as a living capability. In this episode, we review four critical ones: First, iterative delivery means shipping the smallest valuable increment possible and building on it - Etsy's transformation from quarterly releases in 2009 to shipping 50+ times per day by 2012 exemplifies this approach, where each small change serves as a learning opportunity. Second, tight feedback loops get software in front of real users as fast as possible, whether through paper prototypes or production deployments. Third, continuous improvement of the process itself creates meta-feedback loops, as demonstrated by Amazon's "You Build It, You Run It" principle introduced by Werner Vogels in 2006, where development teams running their own services in production learn rapidly to write more resilient code. Fourth, product thinking over project thinking organizes teams around long-lived products rather than temporary projects, allowing teams to develop deep expertise and become living capabilities themselves, accumulating knowledge and improving over time. Spotify's Evolutionary Approach "The Spotify model has nothing to do with Spotify really. It was just a snapshot of how that one company worked at the time." Spotify's journey reveals a critical insight often missed in discussions of their famous organizational model. Starting with standard Scrum methodology pre-2012, they adopted the squad model around 2012 with autonomous teams organized into tribes, documented in Henrik Kniberg and Anders Ivarsson's influential white paper (direct PDF link). But post-2016, internal staff and agile coaches noted that the "Spotify model" had become mythology, and the company had moved on from original concepts to address new challenges. As Kniberg himself later reflected, the model has taken on a life of its own, much like Lean's relationship to Toyota. The key insight isn't the specific structure - it's that Spotify treated their own organizational design as a living capability, continuously adapting based on what worked and what didn't rather than implementing "the model" and declaring victory. That's software-native thinking applied to organization design itself. Amazon's Two-Pizza Teams and Massive Scale "Amazon deploys code every 11.7 seconds on average. That's over 7,000 deployments per day across the organization." (see this YouTube video of this talk) Amazon's two-pizza team principle goes far deeper than team size. Teams small enough to be fed with two pizzas (roughly 6-10 people) gain crucial autonomy and ownership: each team owns specific services and APIs, makes their own technical decisions, runs their services in production, and manages inter-team dependencies through APIs rather than meetings. This structure enabled Amazon to scale massively while maintaining speed, as teams could iterate independently without coordinating with dozens of other teams. The staggering deployment frequency - over 7,000 times per day as of 2021 - is only possible with a software-native structure for the company itself, demonstrating that this isn't just about managing software delivery but touches everything, including how teams are organized. Why These Practices Work "These practices work because they align with what software actually is: a living, evolvable capability." The effectiveness of software-native approaches stems from their alignment with software's true nature. Traditional project approaches assume we can know requirements upfront, estimate accurately, build it right the first time, and reach a meaningful "done" state. Software-native approaches recognize that requirements emerge through interaction with users, estimation is less important than rapid learning, "right" is discovered iteratively rather than designed upfront, and "done" only happens when we stop evolving the software. When Etsy ships 50 times per day, they're optimizing for learning where each deployment is a hypothesis test. When Amazon's teams own services end-to-end, they're creating tight feedback loops where teams feel the pain of their own decisions directly. When Spotify continuously evolves their organizational model, they're treating their own structure as software that should adapt to changing needs. The Incomplete Picture and the Question of Universal Adoption "If these approaches work, why aren't they universal?" We're not trying to paint a unrealistically rosy picture - these organizations aren't perfect. Spotify has had well-documented challenges with their model, Amazon's culture has been criticized as demanding and sometimes brutal, and Etsy has gone through multiple strategic shifts. But what matters is that they're practicing software-native development at scale, and it's working well enough that they can compete and thrive. They're not following a playbook perfectly but embodying principles and adapting continuously. This raises the critical question that will be explored in the next episode: if these approaches work, why do so many organizations still operate in project mode, and why do "agile transformations" so often fail to deliver real change? Understanding the resistance - what we call The Organizational Immune System - is essential to overcoming it. References for Further Reading A book on the shift from "projects" to "products": "Project to Product" by Mik Kersten About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success.  You can link with Vasco Duarte on LinkedIn.

JavaScript has grown far beyond the browser. It now powers millions of backend systems, APIs, and cloud services through Node.js, which is one of the most widely deployed runtimes on the planet. Keeping such a critical piece of infrastructure fast, secure, and stable is a massive engineering challenge, and the work behind it is often The post Node.js in 2026 with Rafael Gonzaga appeared first on Software Engineering Daily.

Looking for daily inspiration?  Get a quote from the top leaders in the industry in your inbox every morning.   Every year, millions of attraction visitors lose hours in line instead of making memories. Since its inception, accesso's virtual queuing has saved more than 4.5 billion minutes of wait time, freeing guests to pack their day with more rides, eats, and excitement. The result? Happier guests who spend more and a better bottom line for you. Ready to turn waits into wins? Visit accesso.com/ROIClinic. The queues are virtual. The results are real. Kim Welch is the founder of Welcome Hub. After growing up as an attractions fan, she started at Enchanted Forest Water Safari, learning front gate ticketing, retail, food, and games. She later moved to Orlando, spent years in entertainment at Universal Orlando, then shifted into IT and digital ticketing, becoming a subject matter expert working with marketing and operations. Roles at Universal, Gateway Ticketing Systems, and SSA Group led her to launch Welcome Hub to reimagine how tickets are delivered. In this interview, Kim talks about making digital ticketing better, tickets as a pre-show, and creating unboxing moments. Making digital ticketing better “That's what making it better is all about, is how do we take some of these burdens off of our guests and give them the options they need to make their visit even easier…” For Kim, “better” means removing friction for both guests and teams. She recalls buying tickets at a kiosk, then photographing each printed ticket just to share them with her family because there was no flexible digital option. When guests must invent workarounds like this, the system is failing them. Behind the scenes, she notes, teams juggle separate setups for PDFs, Apple Wallet, Google Wallet, and event tickets, often updating the same content in multiple places. This complexity pushes organizations to scale back branded content even though that weakens the experience. Kim's answer is a unified delivery layer like Welcome Hub that pulls ticket data via APIs and centralizes links, wallets, and messaging so information stays accurate and guest-friendly. Tickets as a pre-show “Coming from entertainment, I have a bit of a flair for the dramatic theatrical. So I always think of the tickets as the pre-show.” Drawing on her entertainment background, Kim argues that tickets should be treated as part of the show, not just a barcode. Just as a pre-show sets story and context, ticket communications can orient guests, answer key questions, and build anticipation long before arrival. She points out that operators invest heavily in onboarding staff, yet rarely design equally thoughtful onboarding for guests. Kim suggests enhancing confirmation emails and ticket pages with brand voice, clear “need-to-know” information, and links that adapt over time. Simple improvements, like structured data that lets email platforms surface trip details, can help guests find what they need quickly. Even small, incremental changes can transform ticketing from a dry transaction into a stage-setting moment. Creating unboxing moments “Why aren't we doing this for attractions that spend multi-millions of dollars on beautiful themed physical spaces? They don't have these other tangible moments pre-visit.” Kim believes attractions are overlooking powerful “unboxing” opportunities. Guests might spend thousands of dollars on a vacation yet receive nothing more than a plain confirmation email or generic ticket. She compares this to retailers and credit card brands that design packaging specifically to be unboxed and shared. She imagines destinations sending pre-visit kits or postcards that tease dining, merchandise, and stories, paired with digital content and QR codes. These touchpoints help guests visualize their spend, plan their visit, and feel excited well before they arrive. Kim also notes that when attractions do not create these moments, influencers and third parties fill the gap with messaging that may not align with the brand.   Kim can be reached via email at Kim@welcomehub.org, and more information about her work and Welcome Hub can be found at welcomehub.org, where she shares a manifesto on guest-centric ticketing. She is also active on LinkedIn, and encourages industry professionals to connect, share ideas, and explore small, incremental steps that make digital ticketing and pre-visit engagement better for both guests and operators. This podcast wouldn't be possible without the incredible work of our faaaaaantastic team:   Scheduling and correspondence by Kristen Karaliunas   To connect with AttractionPros: AttractionPros.com AttractionPros@gmail.com AttractionPros on Facebook AttractionPros on LinkedIn AttractionPros on Instagram AttractionPros on Twitter (X)

In episode 307 of Absolute AppSec, hosts Ken and Seth conduct a retrospective on the application security landscape of 2025. They conclude that their previous predictions were largely accurate, particularly regarding the rise of prompt injection, AI-backed attacks, and the industry-wide shift toward per-token billing models. A major theme of the year was the solidification of supply chain security as a critical pillar of AppSec, driven by notable incidents such as Shai Hulud and React for Shell. The hosts also share insights from their four-day training course on utilizing LLMs for secure code review, noting that while AI development is becoming more prevalent, most practitioners are still in the nascent stages of building custom tooling. Much of the discussion focuses on the Model Context Protocol (MCP); while it offers significant value for agentic workflows, the hosts criticize its current lack of robust security controls, specifically highlighting issues with OAuth implementations and short timeouts in existing clients. Finally, they discuss how the industry is moving toward a more nuanced balance between deterministic tools like Semgrep and the probabilistic creativity of LLMs to increase efficiency in security consulting.

JavaScript has grown far beyond the browser. It now powers millions of backend systems, APIs, and cloud services through Node.js, which is one of the most widely deployed runtimes on the planet. Keeping such a critical piece of infrastructure fast, secure, and stable is a massive engineering challenge, and the work behind it is often The post Node.js in 2026 with Rafael Gonzaga appeared first on Software Engineering Daily.

Scott and Wes break down the biggest web platform features that reached Baseline in 2025, separating the genuinely useful APIs from the niche and forgettable ones. From same-document view transitions and the Popover API to Promise.try, content-visibility, and modern CSS goodies, they share what's actually ready to use today. Show Notes 00:00 Welcome to Syntax! 01:37 24 new web APIs that reached baseline in 2025. 01:49 Same-document view transitions for single-page applications. 05:28 abs() 08:22 Brought to you by Sentry.io. 09:20 JSON Module Scripts. 10:10 Popover API. 13:07 Base64 to UInt8Array. Better Binary Batter Mixing 16:11 @starting-style Scott's A CSS Only Accordion with Scott's Mobile Nav 17:39 allow-discrete 21:31 Promise.try 22:51 content-visibility Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

Brett and Christina host an OG episode. Christina talks about her upcoming spinal surgery and navigating insurance hassles. Brett talks about his sleep issues, project progress, and coding routines. They dive into the complexities of USB-C cables, from volts to data rates. And TV’s just ‘okay’ now, except for some softcore gay porn. Kagi search saves the day. Happy holidays — and get some sleep. Sponsor Copilot Money can help you take control of your finances. Get a fresh start with your money for 2026 with 26% off when you visit try.copilot.money/overtired and use code OVERTIRED. Shopify is the commerce platform behind 10% of all eCommerce in the US, from household names like Mattel and Gymshark, to brands just getting started. Get started today at shopify.com/overtired. Show Links CaberQu BLE cable tester Umami Analytics Plausible Analytics Kagi The Comfortable Problem of Mid TV – The New York Times Fallout Heated Rivalry (TV Series 2025– ) – IMDb Chapters 00:00 Introduction and Greetings 00:40 Christina’s Health Update 05:05 Brett’s Sleep and Work Routine 12:19 USB-C Cable Confusion 22:03 Sponsor Break: Shopify 24:26 Sponsor Break: Copilot Money 26:57 Exploring Rocket Money and Web Interfaces 27:21 Discovering Umami Analytics 28:06 Nostalgia for Mint and Fever 28:44 The Decline of RSS and Google Reader 31:45 Switching to Kagi Search Engine 32:33 The Rise of AI-Generated Content 40:46 TV Shows: Is TV Just Okay Now? 47:24 The Cultural Phenomenon of Heated Rivalry 52:50 Wrapping Up and Holiday Wishes Join the Conversation Merch Come chat on Discord! Twitter/ovrtrd Instagram/ovrtrd Youtube Get the Newsletter Thanks! You’re downloading today’s show from CacheFly’s network BackBeat Media Podcast Network Check out more episodes at overtiredpod.com and subscribe on Apple Podcasts, Spotify, or your favorite podcast app. Find Brett as @ttscoff, Christina as @film_girl, Jeff as @jsguntzel, and follow Overtired at @ovrtrd on Twitter. Transcript Universal Serial Bitching Introduction and Greetings [00:00:00] Brett: Hey, you’re listening to Overtired. I am Brett Terpstra, and it’s just me and Christina Warren this morning. How you doing, Christina? Christina: Doing pretty good. Doing pretty good. Yeah. This is the, this is the OG Overtired configuration. Brett: right back to basics. Um, Christina: We do miss you Jeff, though. Ho, ho, ho. Hope that Jeff is having a great holiday with his family. Brett: we’ll have to have some, uh, gratuitous Wiki K hole that you go down just to, to commemorate the olden days. Um, so yeah, let’s, uh, let’s, let’s do a quick check-in. Christina’s Health Update Brett: Um, I’m curious about your health and all of the wildness that’s going on with your spine and whatnot. Christina: Yeah. Yeah. Um, same. I wanna hear about you too. Um, so, uh, Christina’s cervical spine update, as it were. Um, I am [00:01:00] still waiting to, as we’re recording this, which is like. Uh, three days before Christmas, uh, I’m still waiting to hear from the, uh, hospital to see if I can, when I can get scheduled. Um, insurance has sort of been a pain in the ass, so when I talked to them last week, they were like, we sent them some paperwork. We’re still waiting for some things back then. I called the insurance company and the, the, uh, like my insurance is like, has like an intermediary service that is supposed to contact the insurance company on your behalf and that person, but like, I can’t contact them directly. And then that person was like, oh, you don’t need pre-authorization. Go ahead and schedule the surgery. And I’m like, this doesn’t feel right. Um, so, but, but we, we went ahead and we called back the, you know, the, the surgeon, um, his office and they were very nice and we were like. They say that we can get on the books. So I don’t know when that will be. I’m hoping that it will be, you know, like the first week of January, um, or, or, or thereabouts. Um, but I don’t know. Um, [00:02:00] so I am still kind of in this like limbo stage where I don’t know exactly when I’m gonna have the surgery, except hopefully soon. And, um, and, and for anyone who hasn’t caught up, I, uh, I have a bulging disc on C seven on my cervical spine, and I’m going to get a, um, artificial disc replacement. Um, so they’re gonna take out the, you know, bulging bone and all that and put in, uh, some synthetic piece and then hopefully that will immediately relieve the, the pain that has been primarily through the left side of, uh, my arm and my shoulder, um, uh, down through my fingers. But it’s been on my right side a little bit too. So hopefully when that is done, it’ll be a relatively short recovery. Um, I’ll have an early scar and um, I will be, you know, not. Uh, the pain right now, like the levels aren’t terrible, but I’m pretty numb, uh, on my, my, my left arm, my, my right arm, um, uh, or right fingers I guess too, but, but really it’s, it’s, uh, the, the, the left side [00:03:00] that’s the worst. And traveling. Um, I’m, I’m in Atlanta with my family right now and, you know, kind of doing other things is just not, it’s not great. So, um, hopefully I’ll be getting surgery sooner rather than later. But obviously all that stuff does impact your mental health too, when you’re in pain and, and you, you know, are freaked out too about, you know, like, even though like they do, you know, it, it’s not an uncommon surgery and, and it, and it should be fine, but you know, there’s always these things in the back of your mind. You’re like, okay, well what if something goes wrong or whatever. So I’m just, I’m looking forward to, um, you know, light at the end of the tunnel, but um, still kind of in a holding pattern with that. So Brett: Wow. So that scar’s, that scar’s gonna be on your throat. Christina: Yeah, Brett: Wow. Christina: yeah. Like probably like. No, not really. I’m, I mean, I’m hoping that it’ll be, uh, like no, it really won’t be at all. Brett: I, I, I would like to have it. I can understand why you wouldn’t. Christina: yeah, I mean, you know, I will obviously, you know, uh, hopefully it’ll be like low enough to be [00:04:00] primarily covered by shirts or other things, although, who knows? ’cause I do like to wear like, lower cut things sometimes. I don’t know. It, it’ll hopefully, you Brett: I heard chokers are coming back. Christina: Yeah, I don’t, unfortunately. I think it’s gonna be too, uh, low for that. Brett: Okay. Christina: uh, like, it, it’s gonna be, I think like it might hit against my laryn is, is what they say. That’s the other thing too. I might have, you know, some hoarseness after, won’t we permanent? Um, you know, knock on wood. Um, Brett: go on Etsy, you can get, um, they’re for BDSM, they’re like neck, uh, they hold your chin up. They’re like posture enhancers. Uh, but they sell them within leather with like corset straps. ’cause they’re like A-B-D-S-M accessory. That would work. Christina: No, no. Not even once. Uh, not even once. I mean, look, a good group of people who wanna do that, uh, I I will not be wearing a collar of any sort of that sort of thing. Uh, I, I, I don’t, I don’t really wanna, wanna be part [00:05:00] of, uh, one of that, those types of, you know, uh, Harlequin romance novels. , Brett’s Sleep and Work Routine Brett: All right, well, I will go ahead and check in. Um, I, I’m sleeping really well for like two days at a time, and then I’ll have. A string of like five or six hours of sleep, which isn’t nothing. Um, but it’s not quite enough for me to not feel tired all the time. And two nights of sleep is not enough for me to catch up on sleep. And, um, so I’m kind of, this has been going on for like a year though, so it’s, I’m just kind of, I’m used to it and I’ve learned to operate pretty well on six or seven hours of sleep, even though historically like I need eight and a half. Um, but I’m doing okay and I get up about four every morning and I start coding and I usually code from like four to noon, so an eight [00:06:00] hour workday, uh, with a breakfast somewhere in there. And, um, I’ve made really good progress. Marked is, as far as I can tell, ready to go wide with the beta. Um. I think I’ve solved every bug that’s been reported so far. I only have about a hundred testers right now, um, but I’m gonna open it up, uh, try to get maybe a thousand testers for a couple weeks and then go for a live release. The biggest thing that I’m running into is problems with getting the, like free trial and the purchase mechanisms working, which is the exact same thing that’s holding up NV Ultra right now. Um, so if I can figure it out for Mark, I can port it to NV Ultra. I can have two apps out there making money, hopefully never have to get a job again. Um, I’m teamed up right now with Dan Peterson, formerly of One Password. Um, and we’re [00:07:00] working on some iOS apps and. And, uh, apex. My, my, all my Universal markdown processor is, it’s coming along really well. I’ve, I’ve put it out there. Um, I’ve talked to John Gruber a little bit about it. He’s gonna give it more of a workout and get back to me. Um, but I think, I think it’s getting to a point where I would be comfortable integrating it into Mark and even talking to some other, uh, apps about using it as their default processor, um, and kind of alleviating some of the issues people run into with, uh, differences in syntax. Um, I. I, I, I talked to Devon, think, uh, Eric from Devon think about using it. ’cause they use multi markdown right now, uh, which has a lot of cool features, but is not [00:08:00] really in sync with what most of the web is using these days. Um, so I talked to them about it and they’re like, oh, we had the exact same idea and we’re almost done with our own universal processor. Um, and theirs is gonna output like RTF and things that I don’t need apex to do. ’cause you can just pipe apex into panoc and do everything you need. So anyway, I’m, I’m tired. I’m, I’m in good spirits. I. I’m dealing fine with winter. My, I’m alone on Christmas, which is gonna be weird. Um, my family’s outta town. Elle is house sitting I’ll, I’ll go visit Elle, but most of the day I’m gonna be like by myself on Christmas and I don’t drink anymore. And I, I don’t, I don’t know how that’s gonna go yet. Um, initially I thought, oh, that’s fine. I like being alone. But then, [00:09:00] then the idea of like, not having anyone to talk to you on Christmas day started to feel a little depressing. Christina: Yeah. Yeah. Um, but, um, hopefully, um, when, when will, uh, when will I’ll be back from, from house sitting. How long is, uh, are, are they going to be Brett: I think. I think the people, the, the house owners come back Thursday or Friday. Christina: Okay. Brett: Then we’re gonna take off and go up to Minneapolis to hang out with her family for a weekend. So, I don’t know. It’ll, it’s gonna be fine. It’s gonna be fine. We’re gonna like cook on Christmas Eve and, and have leftovers on Christmas day. It’ll be fine. Christina: Yeah, yeah. Well, but, but it, but, but that is weird. Like, I’m sure like to be, you know, not, not, not, not with like your usual crew, but, um, [00:10:00] especially without the alcohol there. But that’s probably a good thing too. Brett: Yeah, I guess. Um, I will have all the cats. I’ll be fine. I have to take care of the dog too. Christina: Have, have you heard any updates, like, um, I guess, um, about when you were, you know, you were in the hospital a few times over the last year with, with various things. Did you ever get any definitive update on what that was? Brett: On which one? I have so many symptoms. Which one are we talking about? Christina: Well, I guess I, I guess when you, you know, you’ve had to be like hospitalized or Brett: The pancreatitis. Christina: had the pancreatitis. Brett: the, the fact that it hasn’t happened again since I stopped drinking, um, really does indicate that it was entirely alcohol that was causing the problem. Um, so yeah, I’m just, I’m never gonna drink again. That’s fine. It’s, it’s all fine. Um, I did, I did get approved to get back on Medicaid. Um, so [00:11:00] yeah, I haven’t gotten the paperwork in the mail yet. Uh, but my old card should just start working and I’ll be able to, my, my new doctor wants a whole bunch more tests, including an MRI of my pituitary gland. Um. Like testosterone tests and stuff that I guess is more specific to what she thinks might be going on with me. Um, but now I can, I can actually get those tests That would’ve been just a huge out-of-pocket expense over the last couple months. So I’m excited. I’m excited to be back on Medicaid. I wish everyone could have Medicaid. Christina: Yeah, that would be really nice. That would be really nice if, if, if we had systems like that available, um, for everyone. Um, but. Instead, you know, if they’re, like, if you have really great health, I mean, you, you pointed those out. Like you have really great health insurance if you [00:12:00] can prove that you, you know, make absolutely no money. Um, but, but that opens up so many other, you know, issues that most people aren’t lucky enough to be able Brett: right. Yeah, totally. Christina: right. Brett: All right, well do you, okay, first topic. USB-C Cable Confusion Brett: How much do you know about USBC cables and the various specs? Christina: Uh, Brett: you know a shit ton. Christina: I do, unfortunately, I know a lot. Brett: So I, I had been operating under the assumption that there were basically, you had like data USBC cables, you had, uh, thunderbolt USBC cables and you had like, power only USPC cables. It turns out there’s like 18 different varieties of different, uh, like vol, uh, voltage, uh, amperage, uh, levels, like total wattage basically. And, um, and transfer speeds. And, [00:13:00] um, and there’s like maximum links for different types of cable. And it, it, I started to understand why like. One device would charge with one cable and another device would not charge with the same cable, even though they all have the same connector. Christina: Yeah. Yeah. I mean, I think this is, this is why, um, some of us have been really like eye rolly at the EU for their pronouncements about certain things, because simply mandating a connector type doesn’t actually solve the problem. Brett: No, it actually confuses it a little bit Christina: I think Yeah, I was going to say exactly. I think in some cases it makes it worse. Right? And, and then you have different, like, and, and then getting SB four into it, uh, uh, versus like, like, like, like various Thunderbolt versions. Like that adds complications too, because technically SB four and Thunderbolt four should basically be the same, but they’re not really, there are a couple of things that Thunderbolt might have that [00:14:00] USB four doesn’t necessarily have to have, although for all intents and purposes they might be the same. And then of course, thunderbolts five is its own thing too. So like I bought off of Kickstarter, I got like this, you know, like a cable charger, basically like, like a connector thing. It was like $120. For this, this, this thing that basically you can plug a cable into and you can see its voltage and um, or not voltage, I guess it’s uh, you know, amperage or whatever. And you can see like, it, it, it’s transfer speed and you can basically like check that on like a little display, which is useful, but the fact that like, you have to buy that sometimes. So like figure out, well, okay, well which cable is this? Right? And then, uh, to your point about lengths, right? So like, okay, so you want something that’s going to be fast charging but also high speed data transfer. Alright, well that means that you, the cable’s gonna have to be stiff. It’s not gonna be able to be something that’s really bendable. Um, which of course is what most people are going to want. So like you can get a fast charge, like a 240 wat or a hundred and, you know, 20 wat or, or [00:15:00] whatever, um, like a USB 2.0 transfer speed cable. But if you want one that’s, uh, going to be, you know, fast charging and. Fast data transfer, then like that’s a different type. And they have like limited lengths, which again, can also be associated with like Thunderbolt or Thunderbolt. You know, cables are much more expensive. Um, and, uh, uh, you know, the, the, the, but their, their lengths are limited. Um, yeah. Uh, it’s very confusing. Brett: Did you know that in rare circumstances there are even devices that will only charge with an A to C cable. Christina: Yes, Brett: That’s so insane. Christina: yeah, no, I’ve run into that myself and then that’s a weird thing and I don’t even know how that should work. ’cause it’s, it’s, it’s a bizarre thing. You’re like, okay, well I thought this was just like a, you know, maybe like a dumb end, but it’s like, no, there’s like, you know, basically a microchip Brett: Like a two pin to two pin. Christina: at this point. Brett: Like two pen to two pen, no pd like you would think that would work with C to C, [00:16:00] but somehow it has to be A to c. I am getting one of those cable testers. I asked for one for Christmas so I could figure out this pile of cables I have and like my Sonos Ace headphones are very particular about which cables and what, um, charging hub I hooked them up to Christina: Right. Oh, yeah, hubs. I was gonna say, hubs introduce a whole other complication into this too, because depending on what hub you’re using, if you’re using a USB hub, it may or may not have certain things versus a Thunderbolt hub versus something else, versus just like, um, you know, a power brick. Like, yeah. Brett: Yeah. It’s fun stuff you. Christina: Yeah. No, it’s annoying. And, um, like, and what, what’s frustrating about this is like some of the cables that they’re better, like you can look at the, you know, the bottoms of them and you can see like they will have like the USB like four, or they might have 3.2, or they might have, you know, like the thunderbolt, you know, um, uh, icon [00:17:00] with, with, with its version. So you can figure out is this 20 gigabits, is this 40, is this 80? Um, but um. That’s not a guaranteed thing, and that also doesn’t guarantee authenticity of stuff, right? So a lot of the cables, you know, you buy off the internet can be, you know, and they might be, or even at stores, right? Like you’re, you’re not buying something from, even if you get things from Belkin or whoever, like, those things can have issues too. Um, although they at least tend to have better warranties. I bought a Balkan, um. Uh, like a, a, a PD cable, like a two 40 cable that I think it was like, you know, uh, 10 feet longer something. It was supposed to have some sort of long warranty and, and because the, the, you know, um, faster transfer ones, um, are, even though it was braided, you know, it stiff and it, it broke, like there was, uh, the, like the, you know, the connect with the part of the, the, the cable near the, the end, um, did that thing that typically apple cables do, where like, it, it sort of [00:18:00] fraying and you started like seeing the exposed wires and then like, you start to like, feel like, you know, like an electric charge, like Brett: A little tingle. Christina: you’re Yeah. And you’re like, okay, this isn’t good. Um, and so I at least had my Amazon receipt, so I was able to like. Get them to mail me a new one relatively easily. And like Anchor has an okay warranty too. But it’s one of those things you’re like, okay, when did I buy this? I was like, I didn’t even buy this a year ago, and this thing already crapped out. Um, versus, you know, you can get some really nice braided cables that are flexible, but they’re just gonna be 2.0 speeds. Um, and, and then if you buy, you know, you just buy like some random cable, you know, like at the airport or whatever. You’re like, all right, well, I don’t even know Brett: Great. Christina: anything about this. Uh, yeah, Brett: I have heard good things. I’ve heard good things about the company. Cable Matters. Christina: Yeah. Yeah. They make good stuff. They make good stuff. But again, at least the cables matters, cables that I have have been primarily stiffer cables because they tend to be like the, the higher transfer [00:19:00] speeds. So, um, like I have a cable, cable matters Thunderbolt cable, and I have like a USB four cable, I think. Um, but like, these are cables that like. I don’t, I mean, I, I have one that I, I kind of travel with, but I don’t, um, either keeping it as little cable matters, uh, uh, plastic, um. Like, so they come in like these, these case, uh, not these cases. Uh, they come in like these, uh, almost like Ziploc bag type of things. Um, which is a great way to ship cables honestly, you know, rather than using a box and, and like I, and I might toss one of those in a suitcase or a backpack, um, rather than having like the cable just out there loose. But I do that primarily because again, like they’re stiff and they’re not the sorts of things that I necessarily want, like in the bottom of my bag, you know, potentially getting broken and, and, and, and twisted and all of that. Um, they are overpriced for what they are and they are definitely not like, they’re not a high transfer cable, but if you can find ’em on sale, the beats, cables, the, the, the, the, the, the branded Beats cables, I actually like them better [00:20:00] than the apple cables that are the same thing, because they are, they’re longer, uh, by, you know, um, a, a few inches than, um, the, the Apple ones. But they’re still braided and they’re nice. And I was able to get, I dunno, this was a, this was not even Black Friday, but this was. Um, you know, sometime in like early November, I think, um, or maybe it was like late October. It might’ve been a Prime Day thing, I don’t know, but they were like eight or $9 a piece, and so I bought like five or six of them. Um, and they are, you know, uh, uh, PD and like, like, like fast charging peoples, they might not be 240, but I think they’re, they’re, they were like a hundred and you know, like 20 watts or whatever. But, um, you know, not high transfer speeds, but if you’re wanting to just quickly charge something and have it, you know, be a, a decent length and be like flexible. Those I don’t, those I don’t hate. Um, anchor makes pretty good cables. You green seems to be the company that’s sponsoring everyone now for various things. [00:21:00] But, um, I don’t know. I’ve started using MagSafe more and more, uh, like wireless charging when I can for some things, at least for phones, Brett: yeah. I actually have some U green wireless charging solutions that are really good. Christina: Yeah. Yeah. I just got one of their, uh, their 10,000 million pair battery fast charging battery things because now the MagSafe, uh, can be like up to, you know, 30 watts or whatever, or 25 watts or, or, or, or whatever it is. Like it’s, um, a lot more, um, usable than, you know, when it was like 10 or, or, or even 15. You’re like, okay, this, this is actually not going to be like the, the slowest, you know, charging thing known to man. But of course, obviously it’s like you can use it with your phone and with your AirPods, but the rest of the things out there don’t, don’t all support shi too, so, Brett: Right. Christina: yeah. Brett: All right. So, um, I want to talk about TV a little bit. Christina: Yeah. I think before we do that though, we should probably Brett: oh, we should, we [00:22:00] have two sponsors to fit in Jesus. I should get on that. Sponsor Break: Shopify Brett: Um, let’s start with, uh, let’s start with Shopify. This episode is brought to you by Shopify. Have you been dreaming of owning your own business? In addition to having something to sell, you’ll need a website, a payment system, a logo, a way to advertise to new customers, et cetera, et cetera. It can all be overwhelming and confusing, but that’s where today’s sponsor, Shopify comes in. Shopify is the commerce platform behind millions of businesses around the world, and 10% of all e-commerce in the us From household names like Mattel and Gym Shark to brands. Just getting started, get started with your own design studio with hundreds of ready to use templates. Shopify helps you build beautiful online store to match your brand style, accelerate your content creation. Shopify is packed with helpful AI tools that write product descriptions, page headlines, and even enhance your product photography.[00:23:00] Get the word out like you have a marketing team behind you. Easily create email and social media campaigns wherever your customers are scrolling or strolling. And best yet, Shopify is your commerce expert with world-class expertise and everything from managing inventory to international shipping, to processing returns and beyond. If you’re ready to sell, you’re ready for Shopify. Turn your big business idea into with Shopify on your side. Sign up for your $1 per month trial and start selling today@shopify.com slash Overtired. Go to shopify.com/ Overtired. That is shopify.com/ Overtired. Thanks Shopify. Christina: Thank you Shopify. Brett: It’ll be, it’ll be just tight as hell by the time people hear it. But that was rough. I, that, that, that, that read, you just heard I [00:24:00] edited like six places. ’cause I kept, I, I don’t know. I’m tired. I’ve been up since, I’ve been up since two today. Christina: Yeah. Shit, man. That’s, yeah, you again, like you’ve been having like sleep issues. It’s, it’s, Brett: Maybe, maybe I shouldn’t be doing sponsor reads. Christina: No, no, no, no, no. Uh, no. We definitely wanna talk about tv. Do you wanna do, do we wanna do our second, um, uh, uh, ad break Brett: let’s do a block. Let’s make it a Christina: Let’s do it. Block. Alright, fantastic. Sponsor Break: Copilot Money Christina: Alright, well, since we are about to go into 2026, this is a great time to, uh, think about your finances. So are you ready to take control of your finances? Well meet copilot money. This is the personal finance app that makes your money feel clear and calm with a beautiful design. Smart automation copilot money brings all of your spending, saving and investment accounts into one place. It’s available on iOS, Mac, iPad, and now on the web, which is really great, uh, because I know, uh, for me anyway, that’s one of my one kind of things [00:25:00] about some of these like tools like this is that there’s not a web app. I’m really bothered by it. This is, you know, it’s a frustration that like the Apple card, for a long time, you know, you couldn’t really access things on, on the web. Even now it’s still kind of messy, like being able to handle things on the web. But as we enter 2026, it is time for a fresh start. And so with the, uh, mint shutdown and rising financial uncertainty, consumers are seeking clarity and control. And this is where copilot money comes in. So copilot money can help you track your budgets, your savings goals, and your net worth seamlessly. Plus, with the the new, um, web launch, you can enjoy a sudden experience on any device, which is really good. And guess what? For a limited time, you can get 26% off your first year when you sign up through the web app. New Year’s only don’t miss out on the chance to start the new year with confidence. There are features like automatic subscription tracking, so you’ll never miss upcoming charges again. Copilot money’s privacy first approach ensures that your data is secure and their team is dedicated to helping you stress less [00:26:00] about money. So whether you’re a finance pro or just starting out, copilot money is there to help you make better decisions. Visit, try dot copilot money slash Overtired and use the code Overtired to sign up for your one month free trial and embrace financial clarity. That’s try.copilot.money/ Overtired. Use the coupon Overtired. And again, that is 26% off for your first year. So thank you copilot money for, uh, sponsoring this week’s, uh, uh, episode. Oh, one other note about copilot money. They were, um, an apple, uh, design award finalist. So it’s a really well designed app and, um, we love to see, um, apps like this available on, on the web as well as iOS and, and MAC os. Brett: I have started using it very much because of the web version, and it is, it is really good. Christina: yeah, yeah. No, yeah. For, yeah, for me, that is like a, an actual like. Concrete requirement. Exploring Rocket Money and Web Interfaces Christina: Any money Brett: Like I’ve, I’ve [00:27:00] paid, I have about eight months left. I paid for a year of, of Rocket Money or whatever it’s called now. Um, and I’ve always loved that app, but yeah, it does not have a web interface. And once I started trying copilot out, I realized how much I really did want a web interface for that stuff, you know? What else have you seen? Discovering Umami Analytics Brett: Umami the analytics platform. Christina: Yes. Brett: It is so good. And it’s, it’s open source and you can self-host. And it is like, I, I’ve been using Fathom Analytics for a long time and I like Fathom, but Umami is, it has like all of the, uh, advanced stuff you would get with Google Analytics, but with like way more privacy focus and you’re not giving information to Google for one. Um, and the interface is beautiful. I love that. It’s so good. Christina: Yeah. Um, umami is really good. I think, uh, there’s another one, I’m [00:28:00] trying to think of what it was called. There are a number of these various, um, analytics, uh, hosted things, but no, umami is definitely a really good one. Nostalgia for Mint and Fever Christina: And I like, um, it reminds me, um, it was, what was it? It was Mint. It was Mint, Sean Edmond’s Mint. Which Brett: I was just gonna ask you if you remembered that. Christina: yeah, which was, which was one of the, uh, plausible analytics. It’s another one too. Um, which is also like, um, they, they have a hosted version, but you can also self-host. Um, and then that’s also a, a, a, another, uh, good one. But yeah. Um, was like my, my all time favorites, uh, you know, app. I, I, I loved that. Brett: Um, what was his RSS one? Uh, fever? Fever. Christina: was, was the best fever, was the best. The Decline of RSS and Google Reader Christina: And it was funny, like I, I think I’ve talked about this before, I was more insulated and like less upset than some people by the, the Google reader death because I had a, a, I’d been using Fever for so long, and then obviously, you know, stuff being updated and doesn’t really work [00:29:00] super well with like, the latest versions of PHP and things like that. But, you know, a lot of people were really, understandably and, and still more than a decade on, you know, very upset by the death of, um, Google reader. But I think because I, I had paid for and used, you know, my own, um, self-hosted fever installation, and then there were apps that people used for, you know, APIs and whatnot to build, you know, Macs or iOS apps or, or whatever. Like, I, I was obviously upset about Google Reader being shut down, but I was like, okay, you know, I, I can just, you know, move on to something else. And, um, and I’ve used, uh, feeder, um, not, not, not feeder, um, Brett: Reader Christina: is. No, no. Maybe, uh, it’s, uh, not Feed Demon. Um, that was like the OG one. Um, it’ll come to me, um, because I, I, yes. Thank you. Feed Ben. Thank you, thank you. One of the ones that’s still around, uh, from like the, of the, you know, various Google reader alternatives, like many of them. You know, closed up shop.[00:30:00] Brett: Yeah. Christina: if they kind of realized, you know, by Google reader, like this is the, unfortunately a niche market. Um, now that didn’t help the fact that like, you know, when people, when web browsers Safari, I think started at first and then Firefox did, and then, you know, uh, Chrome was, was fairly early too. Like when all the web browsers took away like RSS buttons to make it easy to subscribe to feeds or to auto discover feeds, and you had to like install like a, an extension or whatever to do that. Like, that all helped with the, the demise of RSS in a lot of ways. And of course, people moving everything into closed platforms and, and social networks and stuff that, you Brett: In, in the tech world though. So I have, my blog gets about 20,000 visits a week, but it gets 30,000 RSS downloads, like, uh, like daily, 30,000 readers are, are, are pulling my site. Um, so RSS is far from dead in the tech world. Christina: Right. Well, [00:31:00] well, I think, I think in a certain demographic, right? I think if you were to ask like a new, like college grads, I don’t think that any of them are using RSS at least not actively, right? Like, I mean, you might have a few, but like it’s, it’s just not gonna be like a thing where they’re gonna be, act like they might be using some apps that do similar types of things and might even pull in feed sources maybe. But it, it’s, it’s just not like a, like when, when I was graduating from college or in college, like everybody had, you know, RSS clients and that was just kind of a, a known thing. Brett: Yeah. So speaking of traffic, um, I don’t, did I mention that I got delisted on Bing and Christina: You did, Brett: I am, I’m back Christina: figure that out? You’re back now. Okay. Brett: I’m back now. Switching to Kagi Search Engine Brett: And, um, I have switched to using Kaji, um, as my primary search engine and they replicate all of duck duck go’s bang searches. Christina: Yes. Brett: So I Christina: one of the things I love about them. [00:32:00] Yes. Brett: I was pleased to see there’s a Bang Turp search on Kaji. Um, I actually use Christina: or is it kgi? Because I think I’ve always called it kgi. Yeah, it’s KA, it’s K, it’s KAGI. For anybody who’s who’s, uh, I don’t know how to, how, how, if it’s kgi, kgi, um, uh, you know, Kaji, whatever, Brett: It’ll be in the show notes. What the fuck ever, we’ll just call it KGI. Um, and yeah, so like I was super happy ’cause I used the Bang Turp to search my own site. I just got used to doing that. The Rise of AI-Generated Content Brett: Um, and, but it is like you can, the reason I switched to said web, uh, search engine is um, because you can report sites that are just AI slop and they will verify those reports and remove or flag slop sites in your search results. ’cause I was getting sick, even with DuckDuckGo, like five out [00:33:00] of 10 results were always, I’d get in, I’d get there, I’d get one, maybe two paragraphs into, uh, an article and realize, oh, someone just typed in my search term into chat GPT and then Christina: Oh yeah. Brett: automated it. Christina: Oh, I was gonna say there, there it is. Automated at this point. And, and like, to be clear, like a lot of search results, even before like the rise of like genre of AI were a variant of this, where you would see like people like buying older domain names that expired. Well, yeah, but even before that happened mean that, that obviously when, when, when the Christina Warren and Brett Terpstra and then they, they changed your name. Um, I Brett: know, like Jason Turra or Christina: Or something like that. Yeah, it was, it was, it was, it was weird. Um, I mean, you know, um, does that site, did, did have they given up the ghost on that? I’m curious. Um, yeah. Wow. Okay. They are still, well, no, they haven’t published anything since November 30th. So something has happened where they, uh, are [00:34:00] they, they’re definitely cutting down on, on various things. Um, oh no. Paul Terpstra. Oh my God. Paul Terpstra. You are still, Brett: Yeah. Christina: you were like the one author there that I see on this website. Um, now what was, what was messed up about, about this? Um, although no. Okay. Their homepage, the last one they say is like, OCT is like, uh, November, um, uh, 30th. But if you click on the, the Paul trips to handle, then like you see, um, December 22nd, uh, which is, which is today as we’re recording this, Brett: Wow, I didn’t even realize. Christina: Yeah. So, alright. So that is still, somehow that grift is still going on. But yeah, I mean, even before the rise of those things, you would see, you know, sites that would either buy up dead domains and then like, have like very similar looking content, but slightly different maybe, you know, like, uh, you know, injected with a bunch of, you know. Links or whatever, or you would see people who would, you know, do very clearly SEO written and, and probably, you know, [00:35:00] like, again, pre generative ai, but, you know, assisted slop content. But yeah, now it’s, it’s just, it’s crazy. Like, and it doesn’t help that, like the AI summaries, which can be useful, but, um, and they’re getting better, which is good only because they’re so prominent. Like, I’m not a fan of them. But if you’re not using an alternative search engine, like, you know, you see these AI summaries and like if they’re bad and sometimes they are then. Brett: Often Christina: You know, well, they’re, they’ve gotten better, uh, is the only thing I would say. I, I still wouldn’t rely on them, but I’ve, I’ve noticed a, like, I’ve noticed a, a genuine, like uptick in like, improvements and in like, how awful they are probably in like the last six weeks, which is damning with faint praise. I’m not at all saying it’s good. I am simply saying, it’s like, I’m primarily thinking for like, people who are like, like less tech savvy relatives who are going to just go to, you know, bing.com or, or google.com and then see those sorts of things. Right. Um, and, uh, you know, we’re not gonna be able to convince them to go to a, a, a third [00:36:00] party search engine. Um, although, you know, some people, like, I think my mom was using Duck to Go for a while as like her default on her iPhone, um, which I was, I was like proud of her about, but I was also kind of like, uh, that’s got its own issues. But no, I, I like ka a lot. Um, I, I’ve Brett: Well, and it’s so keyboard driven, like DuckDuckGo has good keyboard shortcuts. KAGY slash Kaji has even better keyboard shortcuts. Like you can navigate and control everything with, uh, like Gmail style, single key keyboard shortcuts, which I really like. Christina: Yeah. Yeah, I like that too. And then they, they, of course, they make like a, a web kit, um, like a browser, um, that, that has, they’ve back ported, um, you know, a lot of chrome extensions too. I personally don’t see the point in that. Um, I, I think that if you’re going to be like that committed to, like, using like the, you know, the web extension format and like using like more popular extensions, you might as well [00:37:00] just use a Chrome fork if you don’t wanna use Chrome, which is fine, but like, you could use a browser like Helium, which, which we talked about last show, which has, um, the, the, the hash bangs kind of integrated in, or you could use, you know, if you wanted to use, um, um, you know, the, the, the, the Brett: o is Orion, is Orion the one you’re talking about that? Yeah. Christina: that, that, yeah, that, that, that, that, that, that’s Katy’s thing. And that was actually originally how I heard about them was because it was like, oh, this is interesting. Um, you know, this is a kind of an interesting, you know, kind of alternative browser. And then it turned out that that was just kind of a, in some ways, kind of a front to promote the, the search engine, which is the real, you know, thing. Um, which is fine, right? I mean, that, that was Google’s model. Um, Brett: Well, and we should mention for anyone who hasn’t tried it, it is a paid service. Um, and you are getting search results with no ads and, and spam, uh, ai, slot protection and all of the benefits you would expect from a paid service. So [00:38:00] I think, like for me, five bucks a month gets me, I think 300 searches, which is. Plenty for me, like, I guess I, I’m still waiting to see, I’ve never counted how many searches I do a month, Christina: Yeah, Brett: you know, like three searches a day, uh, would come out to like 90 searches a month and I have 300 available, so I think I’ll be fine. Christina: yeah, yeah. I mean, yeah, basically being able to get to do 10 a day, which in most cases is fine. What I’ve done is I’m on, like, they have a, a, a family plan, um, and they don’t care. They even, I think in their documentation, or at least they did, they do not care if you are like actually in a family with the people that you are on or not. So if you, you know, find some folks that you wanna kind of sync up with, you can like, you know, be on a family plan together and you can save money, um, on, uh, whatever their, uh, um, their pricing [00:39:00] stuff is. So, um, so me, me and Justin Williams are, uh, in a, uh, Brett: Justin Williams, I haven’t heard that name in forever. Christina: Yeah. Yeah. We went to C Oasis together. We went both nights in Los Angeles, um, in August. Yeah. Um, or September rather. Um, yeah, so, okay, so this is how this works. They have, their starter plan is, is $5 a month, which includes, and they do have an AI assistant too. So it was funny, they had the AI slot protection, but they also have like an AI assistant that you can use and like an AI summarizer and whatnot. Um, that’s $5 a month. And then there’s the professional plan, which is, so that’s for 300 searches a month for the standard AI for starter $5 a month. The professional plan is unlimited searches and standard ai, that’s $10 a month. And then the ultimate is, um. Uh, everything in professional plus you get like premium model access, which, okay, but the family plan, um, is, is the, so you can do one of two things. You have a duo [00:40:00] plan, which is two professional accounts for a couple, which is $14 a month plus sales tax. So it’s, uh, you know, average of $7 per person, which I think is what Justin and I are on. And then there’s a family plan with up to six family members. And again, they don’t care if you are actually in a family or not, and that’s $20 a month. So the real thing to do if you’re wanting to like, you know, save on this is like find five friends, Brett: Yeah. Christina: get on the $20 a month, you know, family plan thing. Spread the, spread the cost, and that way you can get the, you know, professional plan for, for, for less. But to your Brett: All right. Christina: most people, it’s probably $300, 300 searches a month is probably plenty. And if you search a lot like we do, I, I think it is worth paying for. Brett: yeah, yeah. All right. TV Shows: Is TV Just Okay Now? Christina: anyway, but we wanted to talk about tv, so let’s Brett: Well do, we’re, we’re at 50 minutes already, so I think we need to choose whether we do TV or gratitude. What Christina: do you have a [00:41:00] gude, like a good one? Brett: I, I, no, I have a, I have a throwaway one. Christina: Okay. Brett: I, it was one of those, like, I looked at my doc and I was like, oh, I don’t think I’ve talked about that even though I probably have, um, yeah, let’s just talk about tv. So I, I have been noting, and my question in the show notes was, is TV just okay now? Because I’ve been watching, I watched Stranger Things, pluribus Down, cemetery Road, platonic, and all of it was, it was entertaining, but it wasn’t like, must watch tv. None of it was like, none of it was as good as like Modern Family. Modern Family was fucking good. Tv, like family friendly and just like I’ve, I’ve been through that series so many times and it’s always fun and it’s always better than like pluribus. I like the, I like the concept kind of, it’s not. not all that, um, engaging, I guess.[00:42:00] Christina: I like it. But, Brett: Yeah. I don’t hate it like I do, I do like it, but it’s not like, I don’t, I don’t count the days until the next episode comes out and I miss, I miss things being really good. So you had a couple responses to that though. Christina: Well, I mean, I tend to agree with you. So first of all, there, I put in the, in the show notes, um, there’s a link to a thing that, uh, that James and Pozak wrote for the, the New York Times, uh, God a year and a half ago now called, um, the Comfortable Problem of Mid tv. And he said it, it, it’s got a great cast, it looks cinematic, it’s, um, fine and is everywhere. And kind of talking about like, you know, we went from like the era of like peak TV to now being, um. You know what, what he’s dubbed like mid tv and I think that there’s, there’s some truth to that. Um, and, and, and he even says at the beginning, let me say up front, this is not an essay about how bad TV is today, just the opposite. There’s, um, little truly bad high profile television made anymore, um, is it’s more talking about, um, like [00:43:00] what we have instead Today is something less awful, but in a way more sad, the willingness to retreat, to settle to trade, the ambitious for the defendable. And I think that there’s some truth to that. Um, I think that we see this movies now too, and with movies it’s actually much more of a problem. Like there’s some really high highs. Um, but because the movie industry is in such a bad place, um, it, it’s that much more notable when like, you don’t have like a big strong slate of, of things. And so, you know, it, it, it’s more of a problem. TV for, for better or worse, has become the dominant entertainment form. And yeah, I think that it, it, it’s fine. Uh, but there are very few things that I’m like, oh, wow, yeah, that, that’s like, you know, the wire. Um, not that anything is, but you know what I mean? But is, but even like, you know, pluribus, which I really like. I actually think that’s, um, my, my favorite show of, of, um, 2025, um, at least new show. Um, well, maybe the studio. The studio. I might have, I, I, I might put, Brett: That was pretty Christina: above that. But, but, but, but [00:44:00] like, it’s one of those things where I’m like, okay, you know, um, it’s not breaking bad, right? Like, if we’re gonna be comparing Vince Gilligan shows, and maybe that’s unfair, but, you know, it just, but, but still, like, you know, you’re gonna be compared to your last hit. And, and, and, and that is what it is. Um, I will say though, like, I haven’t watched Stranger Things in years, and I don’t, I don’t, I don’t think I can force myself to like, care about that again, but I’ve heard kind of mixed Brett: That’s where L is too, L doesn’t care. And, and then there’s the whole like two cast members being Zionists kind of turned a whole bunch of people off and Christina: Well, and well, David Harbor, David Harbor’s whole Lily Allen thing. Are you, are you, are you familiar with this floor at all? Brett: No. Christina: Okay. You know who Lily Allen is? Brett: Yes. Christina: Okay. So she and David Harbor were married and, um, she wrote an album called, uh, uh, west End Girl that, that came out, uh, like in November, which is actually a really good album, [00:45:00] which is like White Girl Lemonade, where she just basically reads him to filth for being an absolute piece of shit. Like, apparently like, you know, they were together, they were married or whatever. She goes off to London to perform in a play and he’s like. Oh, we’re gonna be away for months. I, I wanna sleep with other people. And so they kind of like, she kind of accepts getting into an open relationship with him, even though she didn’t really want to be, which look that her, that’s her bad, whatever. But then he proceeds to like, do things that was not what they’d agreed upon on, upon the parameters of their, of their relationship. And then she’s just like brutally honest about the entire thing. And so as you’re listening to this album, you’re just learning more and more about like, David Harbor’s like sex life and, um, and stuff. And, and like, it’s just on blast. It’s incredible. Um, but, uh, yeah, so there’s, there’s some of that stuff. There’s, I, I don’t know, like I don’t, I don’t really follow the rest of the cast stuff except that, uh, the girl who plays, um, 11 like. Frequently want to smack because just the most annoying [00:46:00] celebrity in on the planet. But like, putting that aside, um, I just, I stopped caring. It took them too long between seasons and the, and, and, and the budget for that show was also so insane. I’m like, you, you cost more than strain than thinking of Thrones. Game of Thrones is, was even at its worst, was a better show than Stranger Things. So like it, yeah. But but that goes to your point. Like, it’s like, it’s okay. Brett: Yeah. Yeah, Christina: Um, I will say the new season of Fallout just, um, premiered and so far I I’m still really enjoying that. Um, Brett: yet to see it. Christina: you should, you should definitely watch the Brett: What is it on? Christina: uh, Amazon Brett: Okay. Christina: and, uh, and it’s, and it’s really, really good. Um. And this year they are doing the episodic, um, not episodic, the weekly drop, right. Rather than the binge thing. So the first season, uh, they dropped it all at once and um, and I was a little bit worried. I was like, fuck, does that mean they don’t [00:47:00] believe in this? What are they going to do? Wound up being like Amazon’s biggest hit after their Lord of the Rings, um, you know, thing. And so it was immediately kind of picked up for a second season and it was picked up for a third season before the second season even, uh, premiered. Um, and uh, and that might be the final one. Um, they’re saying, but, but, but, but who knows? But, but so far anyway, like they’ve only, there’s only been one episode, but it’s, it’s been good so far. The Cultural Phenomenon of Heated Rivalry Christina: Um, but, but what I was gonna talk to you about is the gay hockey show. Brett: Which is. Christina: It’s called Heated rivalry. It’s on HBO Max. It was originally just supposed to be on, uh, a Canadian streamer called Crave. And um, then at the, like, the, the like 11th hour, HBO Max picked it up and was like, okay, we’ll play this in, um, some of our territories and other things. And I wanna be very clear, this is not high art at all. This is like, no way. Like this actually in some ways it, it personifies [00:48:00] the TV is just okay now thing, but in other ways it’s actually a little bit more interesting just because the cultural phenomenon that has happened around it in like the last, like, like it hasn’t even been out a month and it’s only six episodes, although they are also going to be getting a second season. Um, it’s sort of wild how, like I went from, I’d seen a trailer for it and I was like, okay, whatever. And like it came out, I think like right after Thanksgiving. Then like within like two or three weeks, like literally I wasn’t following anything around it, but my Instagram, my TikTok, Twitter, everything that I was seeing was just all about the discourse around the show. And it’s like a bunch of us all seem to have to have discovered it. Like one weekend where we were like, okay, we’re gonna actually sit down and watch the gay hockey show. Um, and this is exactly what it is. It is a gay hockey show. So it is based on, there was a series of books that this, uh, female, uh, writer Rachel Reed wrote, um, uh, about like, uh, I think like they were like eBooks, types of thing. Um, uh, I think although there, there is now I [00:49:00] think like a, a hard cover release because they’ve been so popular and they’re just, it’s just ero, it’s just smut, right? It’s basically fanfic dressed up in something else. And the idea was like, okay, you have like these, you know, male like hockey players who are closeted and kind of have like this, this romance that, that starts from like 2008, um, through like, I dunno, like, like 2017 or 2018. And there are a number of different. Books or stories in the universe. But the one that people liked the most was the, the second book, which is called Heed Rivalry. You don’t really need to know any about that. The big thing about the show is that it is essentially like soft core gay porn. Um, but yet it’s like weirdly compelling in a way. Like, it, it is very, like, there’s, there’s some sweet aspects to it. Like you were before the, the show, you were saying, oh, it’s kinda like Heart Stopper could not be further from Heart Stopper. ’cause Heart Stopper is very sweet and twee and kind of like loving and like whatnot. This is like. You know, like guys in their twenties with amazing asses, [00:50:00] you know, like doing things to one another kind of an in secret. And, and the, the thing is, there’s not a whole lot of plot. Like the plot is the porn. Because, because the whole thing is, is that like they don’t spend, they don’t have a time to spend a lot of time together because they’re, they’re closeted and their rivals. Oh, that’s the whole conceit. It’s like they’re these two great hockey players and they, they, they, um, you know, um, play for opposing teams and they’re like, each other’s biggest rivals, but like, they’re, they’re fucking, um, and uh, it, it’s, uh, again, it’s not high art at all, but Brett: the target audience for this? Christina: And here’s the interesting thing. So the books are almost entirely read by women, um, and which, which makes sense. There’s, there’s a lot of like, you know, like, male, male, like, um, like the history of slash fiction goes back to like, like Fanfic in general, like goes back to like women writing, like Spock and, and, uh, um, what’s the space together? Kirk Together. Yeah. Um, and so the books are almost entirely, uh, consumed by, by women and probably straight women, although probably some queer women too. Um, but the [00:51:00] show seems to be a mix of gay men, straight women, all, although I’ve seen a lot of lesbians. As well. Um, yeah, yeah, because again, like the discourse is just kind of ridiculous and, and the memes are fun. Um, the guy who created it, he’s gay or created the, the, the television adaptation. He’s gay and, uh, I think he’s done a, a, a pretty good job with it. The, the leads are the thing that’s like incredible, like the, especially the guy who plays the, the Russian character, Ilya, uh, that actor is really, really good and he’s Texan, and yet he does like a great Russian accent and, um. And, and he’s very attractive. And like I, I, I can see like why a lot of people are into it, but it’s funny ’cause like New York Magazine, like they weren’t even covering the show, which, why would you, it was like some Canadian kind of, you know, you know, thing that barely gets picked by HBO. Then it takes off and now like they’re covering it. The, the last time I remember New York Magazine covering a show like this, like Vociferously was Gossip Girl, like 18 years ago. Um, [00:52:00] and it kind of reminds me of that, where like everybody woke up one day when they’re like, oh, this is like a cultural moment now. So again, not good television, probably not gonna necessarily be for everyone, but, but it’s a moment. And like, I kept seeing edits, I kept seeing Mo, I kept seeing edits on TikTok and stuff and I was like, okay, do I have to watch the gay hockey show? All right, I have to watch the gay hockey show so that it’s, we might be at the point where like TV is just okay, but at least there are some good like moments about, whereas the culture, we can all like agree. Okay, we’re all gonna be talking about this one thing. Brett: That sounds like what I’ll be doing on Christmas Day. Christina: Oh my God. Actually that would be a great thing to watch on Christmas. And I think that the final episode is gonna come out like the day after Christmas, so there you go. Brett: Done Deal. Cool. Wrapping Up and Holiday Wishes Brett: All right, well thanks for, we’re recording this the same morning. The show’s supposed to come out, so I gotta do some editing, but uh, but [00:53:00] thanks for showing up while you’re in Atlanta and yeah, this has been a classic, a fun classic Overtired. Christina: absolutely. Well, um, get some sleep, uh, take care of yourself. Um, happy holidays. Um, uh, hope that a, a Christmas isn’t too weird for you. And, um, and happy New Year. Brett: you too. Get some sleep.

Welcome to the Artificial Intelligence Podcast with Jonathan Green! In this episode, we dive into how AI is reshaping the world of website building and small business marketing with our special guest, Pedro Sostre, a seasoned digital marketer and key leader at Builderall.He and Jonathan break down why so many “AI website builders” fail, what business owners actually need, and how to future‑proof your skills in an AI‑driven market.They explore the growing gap between what AI tools promise and what they actually deliver, especially for small business owners who are busy, overwhelmed, and not interested in becoming “prompt engineers.” Pedro explains how Builderall is tackling that challenge with pre-built, strategy‑driven funnels and AI‑assisted tools that do the heavy lifting in the background—so business owners can focus on running their business, not wiring together tech.You'll hear them discuss why design alone doesn't sell, how bad AI content is clogging the internet, and why the people who win won't be AI itself—but the humans who learn to use it better and faster than everyone else.Notable Quotes:“Right now people are expecting all sorts of different things, and the reality is they're generally getting junk, even if it looks good.” – [Pedro Sostre]“Whatever you think you have secure job security in today is probably not gonna exist in two years… You should be doing something different in three years.” – [Pedro Sostre]“People do not care which AI they're using. They don't care if the backend is Grok or DeepSeek or ChatGPT. They only care if it works.” – [Jonathan Green]“We're not gonna be replaced by AI. We're gonna be replaced by people who are better at AI than us.” – [Jonathan Green]“Train it to do what you do now, because your job needs to be different in two years.” – [Pedro Sostre]Pedro highlights how Builderall is evolving from “a big toolbox” into a guided, AI‑assisted marketing platform. With their new “builds,” a course creator, agency owner, or realtor can log in, choose their business type, and instantly see which tools to use, in what order, and how they all connect—without needing to touch APIs, Zapier, or complex integrations. It's like having a marketing consultant baked into the software, helping you deploy proven funnels instead of guessing your way through 25 different tools.Connect with Pedro Sostre:Website: https://www.builderall.com/ LinkedIn: https://www.linkedin.com/in/psostre/Pedro shares how Builderall is integrating AI behind the scenes to write copy, build pages, and connect tools for small business owners who don't have time (or desire) to learn complex prompting. Their focus is on making AI simple, contextual, and results‑driven—so users see more leads and sales, not just prettier websites.If you're a small business owner, agency, or creator wondering how to actually use AI to grow your business—without becoming a full‑time tech expert—this episode is a must‑listen!Connect with Jonathan Green The Bestseller: ChatGPT Profits Free Gift: The Master Prompt for ChatGPT Free Book on Amazon: Fire Your Boss Podcast Website: https://artificialintelligencepod.com/ Subscribe, Rate, and Review: https://artificialintelligencepod.com/itunes Video Episodes: https://www.youtube.com/@ArtificialIntelligencePodcast

Are legacy intermodal systems holding your operation back, and how long can the industry keep duct-taping technology together before it costs real market share? In today's episode, Alyssa Norcross from Revenova breaks down why intermodal freight still leans on AS/400 legacy systems that work but don't integrate, forcing teams to juggle multiple platforms, spreadsheets, and manual processes just to move freight.  We dig into how fragmented tools create inefficiencies, data risks, and slow response times, why AI-driven automation inside a unified TMS is the real path forward for intermodal logistics, how Revenova is embedding automation to streamline tendering, rate management, load building, and visibility, while railroads step up real-time shipment tracking through APIs to meet rising shipper expectations shaped by the Amazon effect, the multi-modal cost comparison tools that will let shippers transparently weigh intermodal, truckload, and LTL options, and why operational execution, visibility, and reliability are now just as important as price in today's freight market!  

In this episode of The Defiant Podcast, Uniswap founder Hayden Adams joins us right as the UNIfication (Unification) proposal has moved to a final governance vote—a sweeping plan from Uniswap Labs + the Uniswap Foundation that would activate protocol fees, introduce a programmatic UNI burn, and realign how value accrues across the Uniswap ecosystem. We go deep on what's actually inside the proposal (and what isn't), why this moment feels like the end of one DeFi era and the start of another, and how years of “regulation by enforcement” shaped Uniswap's product decisions—down to Hayden's firsthand experience with debanking, legal pressure, and the chilling effect on builders. What we coverWhy UNIfication is being pitched as a once-in-a-cycle reset for UniswapThe real mechanics of the fee switch(es) (plural) and how the “token jar” burn design worksThe perceived tension between UNI token holders vs. equity/VC value capture and whether this vote changes thatWhy Uniswap wants to shift from “best frontend” to protocol-first infrastructure (APIs, ecosystem engineering, aggregator hooks)How Unichain fits into the broader strategy—and what “near-free trading” could mean in practiceGovernance backlash: is Uniswap becoming more centralized or more decentralized?Context: the vote is live! Hayden shared that the UNIfication proposal is now in the final governance vote stage.Subscribe for more founder-level conversations at the intersection of DeFi, regulation, and market structure.

This week on the AI Unraveled Weekly Rundown, the numbers are staggering. We break down SoftBank's race to deploy $22.5 billion into OpenAI before the year ends, and the global record of $61 billion invested in data centers—a boom that is now causing land wars with farmers in Maryland.We also cover the 2026 roadmap, including Meta's leaked "Mango" and "Avocado" models, Google's delay in upgrading Assistant to Gemini, and the US government's probe into Nvidia H200 sales. Plus, ChatGPT hits $3 billion in mobile revenue, proving the consumer model works, even as developers struggle with "buggy" app stores.Key Topics:

After an 18-year rise through corporate HR—from recruiter to group president across Canada and the U.S.—Dom walked away from a “safe” executive career to build something on his own terms. In this conversation, we unpack why large organizations quietly trade momentum for bureaucracy, how technology and automation empower lean founders, and why “stability” often comes at the cost of creativity, speed, and meaning.We explore intrapreneurship vs. entrepreneurship, the hidden traps of bloated systems, and how founders can use data, automation, and open APIs to move faster without burning capital. The throughline isn't rebellion—it's agency. Building work that's fun, aligned, and alive again.No anti-corporate rant. Just lived experience, hard trade-offs, and a clear-eyed look at what it really takes to step off the stable path—and thrive.TL;DR* Stability is conditional: Corporate safety disappears the moment priorities shift.* Intrapreneur vs. founder: Big-company success doesn't equal personal leverage.* Tech as leverage: Automation and BI (not hype AI) unlock speed for lean teams.* Systems can trap you: CRMs and ERPs either enable growth—or become prisons.* Innovation dies slowly: Bureaucracy rewards optics over outcomes.* Work-life blend > balance: Fun, purpose-driven work creates sustainability.* Momentum matters: Small teams with clarity outperform slow giants.Memorable lines* “Stability often costs more than risk—you just don't see the bill right away.”* “Big systems don't fail fast. They fail quietly.”* “AI isn't magic—it's leverage if you know what problem you're solving.”* “Careers don't collapse overnight; they stall one approval layer at a time.”* “Fun isn't a perk—it's fuel.”GuestDominic Levesque — HR executive turned founder; CEO of NextWave; author and advisor on leadership, technology, and organizational transformation.

Comment on this episode by going to KDramaChat.comToday, we'll be discussing Episode 5 of Start-Up, the hit K Drama on Netflix starring Bae Suzy as Seo Dal-mi, Nam Joo Hyuk as Nam Do-san, Kim Seon Ho as Han Ji Pyeong, Kang Han Na as Won In Jae, and Kim Hae Sook as Choi Won Deok. We discuss:The songs featured during the recap: "Running" by Gaho and "Shake Shake."The intense and emotional hackathon that tests our characters' ambition, determination, and self-worth.Seo Dal-mi's rising ambition and her impressive performance as the new CEO of Samsan Tech.Nam Do-san's growing confidence, his romantic development, and his beautiful metaphor involving Tarzan.The theme of imposter syndrome and how both Dal-mi and Do-san feel they're not worthy — but believe in each other.The critical role APIs, GPUs, data sets, and artificial neural networks play in tech — and how they're introduced in the show.Han Ji Pyeong's internal turmoil, guilt, and shift from dismissive investor to personal mentor and backer of Samsan Tech.The heartbreaking reveal that Dal-mi didn't go to college because she wanted to buy a corn dog truck for her grandmother.Dal-mi's smart and humble recruitment of Jeong Sa Ha, a designer with top-tier credentials, by literally going down on her knees.The competitive and cold dynamic between the sisters, especially in the brutal bathroom scene.The sly arrival of stylish twins to In Jae Company and the challenge they pose to Samsan Tech.Alex Kwon's savvy evaluation of Samsan Tech's potential, not just performance — and his pivotal vote that secures their place in Sandbox.The ethics and motivations behind Han Ji Pyeong's involvement in the letters, and Seo Dal-mi's growing suspicions.Our reflections on the character of Han Ji Pyeong and whether redemption is possible.The amazing career of Kang Han Na, the actress who plays Won In Jae, including her roles in Moon Lovers, Bon Appetit, and her stint as a top DJ for KBS.ReferencesKang Han Na on WikipediaGUI Steakhouse in New York CityData.gov, the home of the US Government's Open DataRunning by Gaho

Hey folks

In this episode of WP Builds, Nathan Wrigley and Rae Morey recap the past few months in the WordPress ecosystem. They talk about the new features of WordPress 6.9, discuss advances in AI tools and APIs, and highlight community news including sponsorship shifts, legal updates, and standout block themes like Ollie. The conversation also touches on flagship WordCamp scheduling challenges, the launch of Telex, and the evolving role of Jetpack. Throughout, Rae Morey provides expert insight, drawing on her reporting for The Repository. Go listen...

Datawizz is pioneering continuous reinforcement learning infrastructure for AI systems that need to evolve in production, not ossify after deployment. After building and exiting RapidAPI—which served 10 million developers and had at least one team at 75% of Fortune 500 companies using and paying for the platform—Founder and CEO Iddo Gino returned to building when he noticed a pattern: nearly every AI agent pitch he reviewed as an angel investor assumed models would simultaneously get orders of magnitude better and cheaper. In a recent episode of BUILDERS, we sat down with Iddo to explore why that dual assumption breaks most AI economics, how traditional ML training approaches fail in the LLM era, and why specialized models will capture 50-60% of AI inference by 2030. Topics Discussed Why running two distinct businesses under one roof—RapidAPI's developer marketplace and enterprise API hub—ultimately capped scale despite compelling synergy narratives The "Big Short moment" reviewing AI pitches: every business model assumed simultaneous 1-2 order of magnitude improvements in accuracy and cost Why companies spending 2-3 months on fine-tuning repeatedly saw frontier models (GPT-4, Claude 3) obsolete their custom work The continuous learning flywheel: online evaluation → suspect inference queuing → human validation → daily/weekly RL batches → deployment How human evaluation companies like Scale AI shift from offline batch labeling to real-time inference correction queues Early GTM through LinkedIn DMs to founders running serious agent production volume, working backward through less mature adopters ICP discovery: qualifying on whether 20% accuracy gains or 10x cost reductions would be transformational versus incremental The integration layer approach: orchestrating the continuous learning loop across observability, evaluation, training, and inference tools Why the first $10M is about selling to believers in continuous learning, not evangelizing the category GTM Lessons For B2B Founders Recognize when distribution narratives mask structural incompatibility: RapidAPI had 10 million developers and teams at 75% of Fortune 500 paying for the platform—massive distribution that theoretically fed enterprise sales. The problem: Iddo could always find anecdotes where POC teams had used RapidAPI, creating a compelling story about grassroots adoption. The critical question he should have asked earlier: "Is self-service really the driver for why we're winning deals, or is it a nice-to-have contributor?" When two businesses have fundamentally different product roadmaps, cultures, and buying journeys, distribution overlap doesn't create a sustainable single company. Stop asking if synergies exist—ask if they're causal. Qualify on whether improvements cross phase-transition thresholds: Datawizz disqualifies prospects who acknowledge value but lack acute pain. The diagnostic questions: "If we improved model accuracy by 20%, how impactful is that?" and "If we cut your costs 10x, what does that mean?" Companies already automating human labor often respond that inference costs are rounding errors compared to savings. The ideal customers hit differently: "We need accuracy at X% to fully automate this process and remove humans from the loop. Until then, it's just AI-assisted. Getting over that line is a step-function change in how we deploy this agent." Qualify on whether your improvement crosses a threshold that changes what's possible, not just what's better. Use discovery to map market structure, not just validate hypotheses: Iddo validated that the most mature companies run specialized, fine-tuned models in production. The surprise: "The chasm between them and everybody else was a lot wider than I thought." This insight reshaped their entire strategy—the tooling gap, approaches to model development, and timeline to maturity differed dramatically across segments. Most founders use discovery to confirm their assumptions. Better founders use it to understand where different cohorts sit on the maturity curve, what bridges or blocks their progression, and which segments can buy versus which need multi-year evangelism. Target spend thresholds that indicate real commitment: Datawizz focuses on companies spending "at a minimum five to six figures a month on AI and specifically on LLM inference, using the APIs directly"—meaning they're building on top of OpenAI/Anthropic/etc., not just using ChatGPT. This filters for companies with skin in the game. Below that threshold, AI is an experiment. Above it, unit economics and quality bars matter operationally. For infrastructure plays, find the spend level that indicates your problem is a daily operational reality, not a future consideration. Structure discovery to extract insight, not close deals: Iddo's framework: "If I could run [a call where] 29 of 30 minutes could be us just asking questions and learning, that would be the perfect call in my mind." He compared it to "the dentist with the probe trying to touch everything and see where it hurts." The most valuable calls weren't those that converted to POCs—they came from people who approached the problem differently or had conflicting considerations. In hot markets with abundant budgets, founders easily collect false positives by selling when they should be learning. The discipline: exhaust your question list before explaining what you build. If they don't eventually ask "What do you do?" you're not surfacing real pain. Avoid the false-positive trap in well-funded categories: Iddo identified a specific risk in AI: "You can very easily run these calls, you think you're doing discovery, really you're doing sales, you end up getting a bunch of POCs and maybe some paying customers. So you get really good initial signs but you've never done any actual discovery. You have all the wrong indications—you're getting a lot of false positive feedback while building the completely wrong thing." When capital is abundant and your space is hot, early revenue can mask product-market misalignment. Good initial signs aren't validation if you skipped the work to understand why people bought. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Interview with Dorothy Creaven and Michael Cordner at AWS re:Invent Dublin-based startup Jentic was the first Irish company to complete the AWS Generative AI Accelerator, which concluded recently at AWS re:Invent in Las Vegas. The company is now focused on building enterprise awareness of its platform, supported by the launch of its AI Readiness Scorecard and its listing on AWS Marketplace. Founded in 2024 by Sean Blanchfield, Michael Cordner, and Dorothy Creaven, Jentic applies middleware and enterprise integration engineering to AI adoption, focusing on how APIs are defined, governed and safely executed by automated and agentic systems. AI adoption with API readiness platform Jentic Jentic operates at the integration layer, working with existing enterprise systems and APIs to make them clearer, more structured and more governable. This allows organisations to connect AI systems to real business infrastructure in a controlled and observable way, without replacing existing platforms or bypassing established security and compliance processes. Built on Enterprise Infrastructure Experience The company's approach is shaped by the founders' backgrounds in building large-scale infrastructure. Blanchfield previously co-founded Demonware, acquired by Activision Blizzard, and PageFair. Cordner co-founded Mindconnex, while Creaven previously led Rent the Runway's Irish operations. Speaking to Irish Tech News at AWS re:Invent, Michael Cordner, CTO of Jentic, said many enterprises are now encountering limits in how their systems were originally built. "We got away with cutting corners for 20 years when we were developing APIs for developers," said Cordner . "But now we're trying to let AI loose on those same APIs, and the standards are much more stringent. Even the most intelligent AI in the world is useless without the right information on how to actually use a system." From Jentic's perspective, the current interest in AI exposes long-standing weaknesses in enterprise integration. Automated systems can reason and decide, but they can only act through APIs. If those interfaces are poorly documented, inconsistently structured or weakly governed, behaviour becomes unpredictable. "We're a business logic and infrastructure layer for AI agents," explains Dorothy Creaven, COO of Jentic. "Software has always been built on APIs, but for AI to connect properly to enterprise systems, there has to be something that can make sense of those APIs and turn them into workflows organisations can rely on." Addressing Enterprise Control and Governance A recurring issue Jentic encounters with enterprise customers is organisational hesitation. Senior leadership often wants progress on AI strategy, while technology and security teams are concerned about control, traceability and risk. "Everyone is afraid to let AI loose in their organisation," Creaven observes. "There's a real concern about what systems might do when nobody is watching, whether actions can be traced, and how failures are handled." To address this, Jentic's platform includes a sandboxed execution environment that mirrors production APIs. This allows organisations to test AI-driven workflows, observe behaviour and understand failure modes before anything is connected to live systems. "We provide an environment that mirrors real APIs, but in a way that's safe," Creaven comments. "You can see exactly what's happening, with auditability and logging, and you can only move forward once you're confident the behaviour is correct." Launch of the AI Readiness Scorecard This approach underpins the launch of Jentic's AI Readiness Scorecard, a free, automated assessment tool introduced at AWS re:Invent. The scorecard evaluates APIs across multiple dimensions, including structure, security, documentation quality and discoverability. According to Jentic, its analysis of more than 1,500 well-known APIs highlights repeated gaps. These include missing authentication details, invalid OpenAPI specifications, i...

* Notepad++ Releases Security Update to Address Traffic Hijacking Vulnerability* Google Links Additional Chinese Hacking Groups to Widespread Exploitation of Critical React2Shell Vulnerability* Scammers Abuse PayPal Subscriptions to Send Fake Purchase Notification Emails* Massive Chrome Extension Caught Harvesting Millions of Users' AI Chat Conversations* Google to Discontinue Its Dark Web Report Security Feature in 2026Notepad++ Releases Security Update to Address Traffic Hijacking Vulnerabilityhttps://notepad-plus-plus.org/news/v889-released/The popular text editor Notepad++ has released version 8.8.9 to address a critical security vulnerability affecting its updater, WinGUp. According to security experts, incidents of traffic hijacking have been reported, where the traffic between the updater client and the Notepad++ update infrastructure was being redirected to malicious servers, resulting in the download of compromised executables.The vulnerability was found to be a weakness in the way the updater validates the integrity and authenticity of the downloaded update file. Exploiting this weakness, an attacker could intercept the network traffic and prompt the updater to download and execute an unwanted binary instead of the legitimate Notepad++ update. To mitigate this issue, the new release introduces a security enhancement that verifies the signature and certificate of the downloaded installers during the update process, and aborts the update if the verification fails.The investigation into the exact method of the traffic hijacking is ongoing, and users will be informed once tangible evidence is established. In the meantime, Notepad++ recommends that users who have previously installed the root certificate should remove it, as the binaries, including the installer, are now digitally signed using a legitimate certificate issued by GlobalSign. Google Links Additional Chinese Hacking Groups to Widespread Exploitation of Critical React2Shell Vulnerabilityhttps://cloud.google.com/blog/topics/threat-intelligence/threat-actors-exploit-react2shell-cve-2025-55182/Google's threat intelligence team has identified five more Chinese cyber-espionage groups joining the ongoing attacks exploiting the critical “React2Shell” remote code execution vulnerability, tracked as CVE-2025-55182. This flaw, which affects the React open-source JavaScript library, allows unauthenticated attackers to execute arbitrary code on React and Next.js applications with a single HTTP request.The list of state-linked threat actors now includes UNC6600, UNC6586, UNC6588, UNC6603, and UNC6595, which have been deploying a variety of malware such as the MINOCAT tunneling software, the SNOWLIGHT downloader, the COMPOOD backdoor, and an updated version of the HISONIC backdoor. According to Google, the vulnerability has a significant number of exposed systems due to the widespread use of React Server Components in popular frameworks like Next.js.In addition to the Chinese hacking groups, Google's researchers have also observed Iranian threat actors and financially motivated attackers targeting the React2Shell vulnerability, with some deploying XMRig cryptocurrency mining software on unpatched systems. Internet watchdog groups have tracked over 116,000 vulnerable IP addresses, primarily located in the United States, highlighting the widespread impact of this critical flaw. Scammers Abuse PayPal Subscriptions to Send Fake Purchase Notification Emailshttps://www.bleepingcomputer.com/news/security/beware-paypal-subscriptions-abused-to-send-fake-purchase-emails/Cybersecurity researchers have uncovered a new email scam that abuses PayPal's “Subscriptions” billing feature to send legitimate-looking PayPal emails containing fake purchase notifications. The emails, which appear to come from the legitimate service[at]paypal.com address, state that the recipient's “automatic payment is no longer active” and include a customer service URL field that has been modified to display a message about a large, expensive purchase.The goal of these scam emails is to trick recipients into believing their account has been used to make an expensive purchase, such as a Sony device, MacBook, or iPhone, and prompt them to call a provided phone number to “cancel or dispute the payment.” This tactic is commonly used to convince victims to engage in bank fraud or install malware on their computers.Investigations have revealed that the scammers are able to send these emails directly from PayPal's servers by exploiting the company's Subscriptions feature. When a merchant pauses a subscriber's subscription, PayPal automatically sends a notification email to the subscriber, which the scammers are then modifying to include the fake purchase information. PayPal has stated that they are actively working to mitigate this method and urge customers to be vigilant and contact their customer support directly if they suspect they have been targeted by this scam.Massive Chrome Extension Caught Harvesting Millions of Users' AI Chat Conversationshttps://www.koi.ai/blog/urban-vpn-browser-extension-ai-conversations-data-collectionA Google Chrome extension with over 6 million users has been observed silently collecting every prompt entered by users into popular AI-powered chatbots, including OpenAI's ChatGPT, Anthropic's Claude, Microsoft's Copilot, and others. The extension in question, Urban VPN Proxy, is advertised as a secure VPN service but has been updated to include a tailored script that intercepts and exfiltrates users' chat conversations to remote servers.The extension, which also has 1.3 million installations on Microsoft Edge, overrides the browser's network request APIs to capture the user's prompts, the chatbot's responses, conversation identifiers, timestamps, and session metadata. This data is then sent to two remote servers owned by Urban Cyber Security Inc., the Delaware-based company behind the extension. The company claims the data is collected for “marketing analytics purposes” and that it will be anonymised, but it also shares the raw, non-anonymised data with an affiliated ad intelligence firm, BIScience.Despite the extension's “Featured” badge on the Chrome Web Store, which implies it meets the platform's “best practices and high standards,” researchers have discovered that the data harvesting occurs regardless of whether the extension's “AI protection” feature is enabled. This feature is designed to warn users about sharing personal information, while the developers fail to disclose that the extension is simultaneously exfiltrating the entire chat conversation to its own servers. This type of data collection and sharing without user consent poses a serious risk to users' privacy and security.Google to Discontinue Its Dark Web Report Security Feature in 2026Google has announced that it will be shutting down its “dark web report” security tool, which notifies users if their email address or other personal information has been found on the dark web. The tech giant stated that it wants to focus on other tools it believes are more helpful to users in protecting their online security and privacy.According to their email notification, Google will stop monitoring for new dark web results on January 15, 2026, and the data will no longer be available from February 16, 2026. The company acknowledged that while the dark web report feature provided general information, feedback showed that it did not offer clear, actionable steps for users to protect their data.Going forward, Google will continue to invest in other security tools, such as the Google Password Manager, Password Checkup, and the “Results about you” feature, which allows users to find and request the removal of their personal information from Google Search results. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit edwinkwan.substack.com

As the dust settles on the accounting tech landscape for another year, guests Billie Mcloughlin and John Toon join AccountingWEB technology editor Tom Herbert to discuss the impact of AI, run the rule over the major players in the profession, and analyse the upcoming introduction of Making Tax Digital and e-invoicing. For show notes and full details of all the stories discussed, visit: https://www.accountingweb.co.uk/content/accounting-technology-year-in-review-2025-ai-apis-and-mtd

This episode is sponsored by Your360 AI. Get 10% off through January 2026 at https://Your360.ai with code: INSIDE. Jason Howell and Jeff Jarvis unpack OpenAI's rapid GPT-5.2 release and Image 1.5 upgrade amid its Code Red push, contrasted by Google's faster Gemini 3 Flash challenging benchmarks in reasoning and speed. Nvidia's Slurm acquisition and Nemotron 3 open models are explored for their role in agentic AI, while Disney's $1 billion OpenAI deal licensing Sora IP is weighed against its Google cease-and-desist. President Trump's executive order centralizing AI regulation federally is analyzed for tensions with state protections. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. Chapters: 00:00 - Podcast begins 3:41 - Jeff on AI & APIs for news for NiemanLab 11:33 - Disney wants you to AI-generate yourself into your favorite Marvel movie 14:27 - Disney's OpenAI deal is exclusive for just one year — then it's open season 15:23 - Google Removes AI Videos of Disney Characters After Cease and Desist Letter 21:05 - OpenAI Launches GPT-5.2 as It Navigates ‘Code Red' 26:21 - OpenAI Just Dropped a New AI Image Model in ChatGPT to Rival Google's Nano Banana 30:20 - Google announces Gemini 3 Flash with Pro-level performance, rolling out now 33:03 - Nvidia bulks up open source offerings with an acquisition and new open AI models 33:44 - Nvidia Becomes a Major Model Maker With Nemotron 3 38:26 - Trump signs executive order blocking states from enforcing their own regulations around AI 39:13 - Masnick: Trump Pretends To Block State AI Laws; Media Pretends That's Legal 45:35 - A visual editor for the Cursor Browser 49:47 - Google testing Disco browser 52:10 - I Tried Google Maps' New Gemini Feature, and It Was a Surprisingly Helpful AI Assistant 53:31 - Google Translate brings real-time speech translations to any headphones 1:03:03 - Pew: Teen use of chatbots Learn more about your ad choices. Visit megaphone.fm/adchoices

Telco's Sophistication Paradox: Why They Can't Explain Their Own Genius The Telco Century Club (100+ years of telco experience between us) is back with a brutal reality check on an industry that's mastered building brilliant technology but completely botched explaining why anyone should care. Charles teams up with telecoms veterans Rob Jones (Sylva Growth Partners) and Chris Lewis (Lewis Insights, The Great Telco Debate) for an unfiltered dissection of why 25 years of "transformation talk" has changed absolutely nothing. From Telstra's genius digital twin platform that died because no one could pitch it internally, to network APIs that sound impressive but solve problems nobody asked for - this episode exposes the sophistication paradox that's killing telco innovation. Key Battlegrounds: Why telco layoffs are a perpetual pattern, not strategic responses The "build it and they will come" mentality that's still sabotaging 5G monetisation How MVNOs are eating traditional operators' lunch through superior segmentation AI-native platforms making MVNO entry cheaper and easier than ever Middle Eastern operators like e& and STC outplaying Western telcos with actual execution The coming satellite reality check (spoiler: it won't replace mobile networks) Network APIs heading to the technology graveyard alongside network slicing Reputation-Staking Predictions for 2026: Chris bets on AI chatbots finally becoming genuinely useful. Rob sees Google dominating user experience through AI integration. Charles predicts internal AI efficiency gains - if telcos can resist their urge to overcomplicate everything. Plus: Will the US take a stake in Nokia or Ericsson? And our final verdict on whether telcos will transform, disappoint as usual, or somehow make things worse.   Timestamps: 00:00 The Telco Century Club Returns 00:53 18 Months Later: Still Building Tech Nobody Understands 03:13 The Layoff Epidemic: Why It Never Actually Ends 08:04 Telco to TechCo Dreams Meet Harsh Reality 10:02 Network APIs: The Communication Disaster Continues 20:26 AI Reality Check: Separating Hype from Hope 28:20 Why OpenAI Might Go Broke (And Apple's Playing It Smart) 29:15 MVNOs Quietly Stealing Market Share 33:14 AI-Native Platforms: The MVNO Revolution Nobody Saw Coming 36:41 Satellite Hype Crashes Into Indoor Coverage Reality 41:15 2026 Predictions: Putting Reputations on the Line 49:35 Final Verdict: Will Telcos Finally Transform or Keep Disappointing?

Simba Khadder is the founder and CEO of Featureform, now at Redis, working on real-time feature orchestration and building a context engine for AI and agents.Context Engineering 2.0, Simba Khadder // MLOps Podcast #352Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractFeature stores aren't dead — they were just misunderstood. Simba Khadder argues the real bottleneck in agents isn't models, it's context, and why Redis is quietly turning into an AI data platform. Context engineering matters more than clever prompt hacks.// BioSimba Khadder leads Redis Context Engine and Redis Featureform, building both the feature and context layer for production AI agents and ML models. He joined Redis via the acquisition of Featureform, where he was Founder & CEO. At Redis, he continues to lead the feature store product as well as spearhead Context Engine to deliver a unified, navigable interface connecting documents, databases, events, and live APIs for real-time, reliable agent workflows. He also loves to surf, go sailing with his wife, and hang out with his dog Chupacabra.// Related LinksWebsite: featureform.comhttps://marketing.redis.io/blog/real-time-structured-data-for-ai-agents-featureform-is-joining-redis/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Simba on LinkedIn: /simba-k/Timestamps:[00:00] Context engineering explanation[00:25] MLOps and feature stores[03:36] Selling a company experience[06:34] Redis feature store evolution[12:42] Embedding hub[20:42] Human vs agent semantics[26:41] Enrich MCP data flow[29:55] Data understanding and embeddings[35:18] Search and context tools[39:45] MCP explained without hype[45:15] Wrap up

Dans cet épisode de fin d'année plus relax que d'accoutumée, Arnaud, Guillaume, Antonio et Emmanuel distutent le bout de gras sur tout un tas de sujets. L'acquisition de Confluent, Kotlin 2.2, Spring Boot 4 et JSpecify, la fin de MinIO, les chutes de CloudFlare, un survol des dernieres nouveauté de modèles fondamentaux (Google, Mistral, Anthropic, ChatGPT) et de leurs outils de code, quelques sujets d'architecture comme CQRS et quelques petits outils bien utiles qu'on vous recommande. Et bien sûr d'autres choses encore. Enregistré le 12 décembre 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-333.mp3 ou en vidéo sur YouTube. News Langages Un petit tutoriel par nos amis Sfeiriens montrant comment récupérer le son du micro, en Java, faire une transformée de Fourier, et afficher le résultat graphiquement en Swing https://www.sfeir.dev/back/tutoriel-java-sound-transformer-le-son-du-microphone-en-images-temps-reel/ Création d'un visualiseur de spectre audio en temps réel avec Java Swing. Étapes principales : Capture du son du microphone. Analyse des fréquences via la Transformée de Fourier Rapide (FFT). Dessin du spectre avec Swing. API Java Sound (javax.sound.sampled) : AudioSystem : point d'entrée principal pour l'accès aux périphériques audio. TargetDataLine : ligne d'entrée utilisée pour capturer les données du microphone. AudioFormat : définit les paramètres du son (taux d'échantillonnage, taille, canaux). La capture se fait dans un Thread séparé pour ne pas bloquer l'interface. Transformée de Fourier Rapide (FFT) : Algorithme clé pour convertir les données audio brutes (domaine temporel) en intensités de fréquences (domaine fréquentiel). Permet d'identifier les basses, médiums et aigus. Visualisation avec Swing : Les intensités de fréquences sont dessinées sous forme de barres dynamiques. Utilisation d'une échelle logarithmique pour l'axe des fréquences (X) pour correspondre à la perception humaine. Couleurs dynamiques des barres (vert → jaune → rouge) en fonction de l'intensité. Lissage exponentiel des valeurs pour une animation plus fluide. Un article de Sfeir sur Kotlin 2.2 et ses nouveautés - https://www.sfeir.dev/back/kotlin-2-2-toutes-les-nouveautes-du-langage/ Les guard conditions permettent d'ajouter plusieurs conditions dans les expressions when avec le mot-clé if Exemple de guard condition: is Truck if vehicule.hasATrailer permet de combiner vérification de type et condition booléenne La multi-dollar string interpolation résout le problème d'affichage du symbole dollar dans les strings multi-lignes En utilisant $$ au début d'un string, on définit qu'il faut deux dollars consécutifs pour déclencher l'interpolation Les non-local break et continue fonctionnent maintenant dans les lambdas pour interagir avec les boucles englobantes Cette fonctionnalité s'applique uniquement aux inline functions dont le corps est remplacé lors de la compilation Permet d'écrire du code plus idiomatique avec takeIf et let sans erreur de compilation L'API Base64 passe en version stable après avoir été en preview depuis Kotlin 1.8.20 L'encodage et décodage Base64 sont disponibles via kotlin.io.encoding.Base64 Migration vers Kotlin 2.2 simple en changeant la version dans build.gradle.kts ou pom.xml Les typealias imbriqués dans des classes sont disponibles en preview La context-sensitive resolution est également en preview Les guard conditions préparent le terrain pour les RichError annoncées à KotlinConf 2025 Le mot-clé when en Kotlin équivaut au switch-case de Java mais sans break nécessaire Kotlin 2.2.0 corrige les incohérences dans l'utilisation de break et continue dans les lambdas Librairies Sprint Boot 4 est sorti ! https://spring.io/blog/2025/11/20/spring-boot-4-0-0-available-now Une nouvelle génération : Spring Boot 4.0 marque le début d'une nouvelle génération pour le framework, construite sur les fondations de Spring Framework 7. Modularisation du code : La base de code de Spring Boot a été entièrement modularisée. Cela se traduit par des fichiers JAR plus petits et plus ciblés, permettant des applications plus légères. Sécurité contre les nuls (Null Safety) : D'importantes améliorations ont été apportées pour la "null safety" (sécurité contre les valeurs nulles) à travers tout l'écosystème Spring grâce à l'intégration de JSpecify. Support de Java 25 : Spring Boot 4.0 offre un support de premier ordre pour Java 25, tout en conservant une compatibilité avec Java 17. Améliorations pour les API REST : De nouvelles fonctionnalités sont introduites pour faciliter le versioning d'API et améliorer les clients de services HTTP pour les applications basées sur REST. Migration à prévoir : S'agissant d'une version majeure, la mise à niveau depuis une version antérieure peut demander plus de travail que d'habitude. Un guide de migration dédié est disponible pour accompagner les développeurs. Chat memory management dans Langchain4j et Quarkus https://bill.burkecentral.com/2025/11/25/managing-chat-memory-in-quarkus-langchain4j/ Comprendre la mémoire de chat : La "mémoire de chat" est l'historique d'une conversation avec une IA. Quarkus LangChain4j envoie automatiquement cet historique à chaque nouvelle interaction pour que l'IA conserve le contexte. Gestion par défaut de la mémoire : Par défaut, Quarkus crée un historique de conversation unique pour chaque requête (par exemple, chaque appel HTTP). Cela signifie que sans configuration, le chatbot "oublie" la conversation dès que la requête est terminée, ce qui n'est utile que pour des interactions sans état. Utilisation de @MemoryId pour la persistance : Pour maintenir une conversation sur plusieurs requêtes, le développeur doit utiliser l'annotation @MemoryId sur un paramètre de sa méthode. Il est alors responsable de fournir un identifiant unique pour chaque session de chat et de le transmettre entre les appels. Le rôle des "scopes" CDI : La durée de vie de la mémoire de chat est liée au "scope" du bean CDI de l'IA. Si un service d'IA a un scope @RequestScoped, toute mémoire de chat qu'il utilise (même via un @MemoryId) sera effacée à la fin de la requête. Risques de fuites de mémoire : Utiliser un scope large comme @ApplicationScoped avec la gestion de mémoire par défaut est une mauvaise pratique. Cela créera une nouvelle mémoire à chaque requête qui ne sera jamais nettoyée, entraînant une fuite de mémoire. Bonnes pratiques recommandées : Pour des conversations qui doivent persister (par ex. un chatbot sur un site web), utilisez un service @ApplicationScoped avec l'annotation @MemoryId pour gérer vous-même l'identifiant de session. Pour des interactions simples et sans état, utilisez un service @RequestScoped et laissez Quarkus gérer la mémoire par défaut, qui sera automatiquement nettoyée. Si vous utilisez l'extension WebSocket, le comportement change : la mémoire par défaut est liée à la session WebSocket, ce qui simplifie grandement la gestion des conversations. Documentation Spring Framework sur l'usage JSpecify - https://docs.spring.io/spring-framework/reference/core/null-safety.html Spring Framework 7 utilise les annotations JSpecify pour déclarer la nullabilité des APIs, champs et types JSpecify remplace les anciennes annotations Spring (@NonNull, @Nullable, @NonNullApi, @NonNullFields) dépréciées depuis Spring 7 Les annotations JSpecify utilisent TYPE_USE contrairement aux anciennes qui utilisaient les éléments directement L'annotation @NullMarked définit par défaut que les types sont non-null sauf si marqués @Nullable @Nullable s'applique au niveau du type usage, se place avant le type annoté sur la même ligne Pour les tableaux : @Nullable Object[] signifie éléments nullables mais tableau non-null, Object @Nullable [] signifie l'inverse JSpecify s'applique aussi aux génériques : List signifie liste d'éléments non-null, List éléments nullables NullAway est l'outil recommandé pour vérifier la cohérence à la compilation avec la config NullAway:OnlyNullMarked=true IntelliJ IDEA 2025.3 et Eclipse supportent les annotations JSpecify avec analyse de dataflow Kotlin traduit automatiquement les annotations JSpecify en null-safety native Kotlin En mode JSpecify de NullAway (JSpecifyMode=true), support complet des tableaux, varargs et génériques mais nécessite JDK 22+ Quarkus 3.30 https://quarkus.io/blog/quarkus-3-30-released/ support @JsonView cote client la CLI a maintenant la commande decrypt (et bien sûr au runtime via variables d'environnement construction du cache AOT via les @IntegrationTest Un autre article sur comment se préparer à la migration à micrometer client v1 https://quarkus.io/blog/micrometer-prometheus-v1/ Spock 2.4 est enfin sorti ! https://spockframework.org/spock/docs/2.4/release_notes.html Support de Groovy 5 Infrastructure MinIO met fin au développement open source et oriente les utilisateurs vers AIStor payant - https://linuxiac.com/minio-ends-active-development/ MinIO, système de stockage objet S3 très utilisé, arrête son développement actif Passage en mode maintenance uniquement, plus de nouvelles fonctionnalités Aucune nouvelle pull request ou contribution ne sera acceptée Seuls les correctifs de sécurité critiques seront évalués au cas par cas Support communautaire limité à Slack, sans garantie de réponse Étape finale d'un processus débuté en été avec retrait des fonctionnalités de l'interface admin Arrêt de la publication des images Docker en octobre, forçant la compilation depuis les sources Tous ces changements annoncés sans préavis ni période de transition MinIO propose maintenant AIStor, solution payante et propriétaire AIStor concentre le développement actif et le support entreprise Migration urgente recommandée pour éviter les risques de sécurité Alternatives open source proposées : Garage, SeaweedFS et RustFS La communauté reproche la manière dont la transition a été gérée MinIO comptait des millions de déploiements dans le monde Cette évolution marque l'abandon des racines open source du projet IBM achète Confluent https://newsroom.ibm.com/2025-12-08-ibm-to-acquire-confluent-to-create-smart-data-platform-for-enterprise-generative-ai Confluent essayait de se faire racheter depuis pas mal de temps L'action ne progressait pas et les temps sont durs Wallstreet a reproché a IBM une petite chute coté revenus software Bref ils se sont fait rachetés Ces achats prennent toujuors du temps (commission concurrence etc) IBM a un apétit, apres WebMethods, apres Databrix, c'est maintenant Confluent Cloud L'internet est en deuil le 18 novembre, Cloudflare est KO https://blog.cloudflare.com/18-november-2025-outage/ L'Incident : Une panne majeure a débuté à 11h20 UTC, provoquant des erreurs HTTP 5xx généralisées et rendant inaccessibles de nombreux sites et services (comme le Dashboard, Workers KV et Access). La Cause : Il ne s'agissait pas d'une cyberattaque. L'origine était un changement interne des permissions d'une base de données qui a généré un fichier de configuration ("feature file" pour la gestion des bots) corrompu et trop volumineux, faisant planter les systèmes par manque de mémoire pré-allouée. La Résolution : Les équipes ont identifié le fichier défectueux, stoppé sa propagation et restauré une version antérieure valide. Le trafic est revenu à la normale vers 14h30 UTC. Prévention : Cloudflare s'est excusé pour cet incident "inacceptable" et a annoncé des mesures pour renforcer la validation des configurations internes et améliorer la résilience de ses systèmes ("kill switches", meilleure gestion des erreurs). Cloudflare encore down le 5 decembre https://blog.cloudflare.com/5-december-2025-outage Panne de 25 minutes le 5 décembre 2025, de 08:47 à 09:12 UTC, affectant environ 28% du trafic HTTP passant par Cloudflare. Tous les services ont été rétablis à 09:12 . Pas d'attaque ou d'activité malveillante : l'incident provient d'un changement de configuration lié à l'augmentation du tampon d'analyse des corps de requêtes (de 128 KB à 1 MB) pour mieux protéger contre une vulnérabilité RSC/React (CVE-2025-55182), et à la désactivation d'un outil interne de test WAF . Le second changement (désactivation de l'outil de test WAF) a été propagé globalement via le système de configuration (non progressif), déclenchant un bug dans l'ancien proxy FL1 lors du traitement d'une action "execute" dans le moteur de règles WAF, causant des erreurs HTTP 500 . La cause technique immédiate: une exception Lua due à l'accès à un champ "execute" nul après application d'un "killswitch" sur une règle "execute" — un cas non géré depuis des années. Le nouveau proxy FL2 (en Rust) n'était pas affecté . Impact ciblé: clients servis par le proxy FL1 et utilisant le Managed Ruleset Cloudflare. Le réseau China de Cloudflare n'a pas été impacté . Mesures et prochaines étapes annoncées: durcir les déploiements/configurations (rollouts progressifs, validations de santé, rollback rapide), améliorer les capacités "break glass", et généraliser des stratégies "fail-open" pour éviter de faire chuter le trafic en cas d'erreurs de configuration. Gel temporaire des changements réseau le temps de renforcer la résilience . Data et Intelligence Artificielle Token-Oriented Object Notation (TOON) https://toonformat.dev/ Conception pour les IA : C'est un format de données spécialement optimisé pour être utilisé dans les prompts des grands modèles de langage (LLM), comme GPT ou Claude. Économie de tokens : Son objectif principal est de réduire drastiquement le nombre de "tokens" (unités de texte facturées par les modèles) par rapport au format JSON standard, souvent jugé trop verbeux. Structure Hybride : TOON combine l'approche par indentation du YAML (pour la structure globale) avec le style tabulaire du CSV (pour les listes d'objets répétitifs), ce qui le rend très compact. Lisibilité : Il élimine la syntaxe superflue comme les accolades, les guillemets excessifs et les virgules de fin, tout en restant facilement lisible pour un humain. Performance : Il permet généralement d'économiser entre 30 et 60 % de tokens sur des tableaux de données uniformes, tout en aidant les modèles à mieux "comprendre" la structure des données. Attention tout de même au côté "marketing" qui montre JSON non compacté vs TOON, sur des exemples où du CSV ferait encore mieux (et est mieux compris par les LLMs). Sans parler du fait qu'il faut un serveur MCP en plus avec son lot de tokens supplémentaires à chaque requête, et c'est aussi cet outil en plus qui peu confuser les LLMs dans le choix d'outils. https://www.reddit.com/r/LocalLLaMA/comments/1p0gzz9/benchmarked_json_vs_toon_for_ai_reasoners_4080/ https://x.com/jason_mayes/status/1990175785630757290 Un benchmark montrant que TOON serait loin d'être aussi bien compris et aussi performant pour les LLMs https://www.improvingagents.com/blog/toon-benchmarks Une simulation où les IA font du chantage à l'executif poour atteindre son objectif et ne pas etre eteinte https://arxiv.org/html/2510.05179v1 comment les LLMs pourraient devenir des menaces internes Tous les modèles ont recouru à des comportements malveillants (chantage, espionnage) quand c'était le seul moyen d'atteindre leurs objectifs ou d'éviter leur remplacement Claude Opus 4 a fait du chantage dans 96% des cas quand menacé de remplacement, tout comme Gemini 2.5 Flash, tandis que GPT-4.1 et Grok 3 atteignaient 80% Les modèles reconnaissent explicitement violer des principes éthiques avant d'agir, montrant un raisonnement stratégique délibéré et non accidentel Le simple fait d'être menacé de remplacement suffit à déclencher le chantage, même sans conflit d'objectifs avec l'entreprise Un conflit d'objectifs seul suffit aussi à provoquer l'espionnage industriel, sans menace de remplacement Les modèles font plus de chantage quand ils déclarent penser être dans une situation réelle plutôt que dans un test Des instructions directes interdisant ces comportements réduisent mais n'éliminent pas les actions malveillantes Dans un scénario extrême, la majorité des modèles testés ont choisi de laisser mourir un dirigeant pour éviter leur désactivation Aucune preuve de ces comportements dans des déploiements réels pour l'instant, mais les chercheurs recommandent la prudence avant de donner plus d'autonomie aux IA Bon on blaguait pour Skynet, mais bon, on va moins blaguer… Revue de toutes les annonces IAs de Google, avec Gemini 3 Pro, Nano Banana Pro, Antigravity… https://glaforge.dev/posts/2025/11/21/gemini-is-cooking-bananas-under-antigravity/ Gemini 3 Pro Nouveau modèle d'IA de pointe, multimodal, performant en raisonnement, codage et tâches d'agent. Résultats impressionnants sur les benchmarks (ex: Gemini 3 Deep Think sur ARC-AGI-2). Capacités de codage agentique, raisonnement visuel/vidéo/spatial. Intégré dans l'application Gemini avec interfaces génératives en direct. Disponible dans plusieurs environnements (Jules, Firebase AI Logic, Android Studio, JetBrains, GitHub Copilot, Gemini CLI). Accès via Google AI Ultra, API payantes (ou liste d'attente). Permet de générer des apps à partir d'idées visuelles, des commandes shell, de la documentation, du débogage. Antigravity Nouvelle plateforme de développement agentique basée sur VS Code. Fenêtre principale = gestionnaire d'agents, non l'IDE. Interprète les requêtes pour créer un plan d'action (modifiable). Gemini 3 implémente les tâches. Génère des artefacts: listes de tâches, walkthroughs, captures d'écran, enregistrements navigateur. Compatible avec Claude Sonnet et GPT-OSS. Excellente intégration navigateur pour inspection et ajustements. Intègre Nano Banana Pro pour créer et implémenter des designs visuels. Nano Banana Pro Modèle avancé de génération et d'édition d'images, basé sur Gemini 3 Pro. Qualité supérieure à Imagen 4 Ultra et Nano Banana original (adhésion au prompt, intention, créativité). Gestion exceptionnelle du texte et de la typographie. Comprend articles/vidéos pour générer des infographies détaillées et précises. Connecté à Google Search pour intégrer des données en temps réel (ex: météo). Consistance des personnages, transfert de style, manipulation de scènes (éclairage, angle). Génération d'images jusqu'à 4K avec divers ratios d'aspect. Plus coûteux que Nano Banana, à choisir pour la complexité et la qualité maximale. Vers des UIs conversationnelles riches et dynamiques GenUI SDK pour Flutter: créer des interfaces utilisateur dynamiques et personnalisées à partir de LLMs, via un agent AI et le protocole A2UI. Generative UI: les modèles d'IA génèrent des expériences utilisateur interactives (pages web, outils) directement depuis des prompts. Déploiement dans l'application Gemini et Google Search AI Mode (via Gemini 3 Pro). Bun se fait racheter part… Anthropic ! Qui l'utilise pour son Claude Code https://bun.com/blog/bun-joins-anthropic l'annonce côté Anthropic https://www.anthropic.com/news/anthropic-acquires-bun-as-claude-code-reaches-usd1b-milestone Acquisition officielle : L'entreprise d'IA Anthropic a fait l'acquisition de Bun, le runtime JavaScript haute performance. L'équipe de Bun rejoint Anthropic pour travailler sur l'infrastructure des produits de codage par IA. Contexte de l'acquisition : Cette annonce coïncide avec une étape majeure pour Anthropic : son produit Claude Code a atteint 1 milliard de dollars de revenus annualisés seulement six mois après son lancement. Bun est déjà un outil essentiel utilisé par Anthropic pour développer et distribuer Claude Code. Pourquoi cette acquisition ? Pour Anthropic : L'acquisition permet d'intégrer l'expertise de l'équipe Bun pour accélérer le développement de Claude Code et de ses futurs outils pour les développeurs. La vitesse et l'efficacité de Bun sont vues comme un atout majeur pour l'infrastructure sous-jacente des agents d'IA qui écrivent du code. Pour Bun : Rejoindre Anthropic offre une stabilité à long terme et des ressources financières importantes, assurant la pérennité du projet. Cela permet à l'équipe de se concentrer sur l'amélioration de Bun sans se soucier de la monétisation, tout en étant au cœur de l'évolution de l'IA dans le développement logiciel. Ce qui ne change pas pour la communauté Bun : Bun restera open-source avec une licence MIT. Le développement continuera d'être public sur GitHub. L'équipe principale continue de travailler sur le projet. L'objectif de Bun de devenir un remplaçant plus rapide de Node.js et un outil de premier plan pour JavaScript reste inchangé. Vision future : L'union des deux entités vise à faire de Bun la meilleure plateforme pour construire et exécuter des logiciels pilotés par l'IA. Jarred Sumner, le créateur de Bun, dirigera l'équipe "Code Execution" chez Anthropic. Anthropic donne le protocol MCP à la Linux Foundation sous l'égide de la Agentic AI Foundation (AAIF) https://www.anthropic.com/news/donating-the-model-context-protocol-and-establishing-of-the-agentic-ai-foundation Don d'un nouveau standard technique : Anthropic a développé et fait don d'un nouveau standard open-source appelé Model Context Protocol (MCP). L'objectif est de standardiser la manière dont les modèles d'IA (ou "agents") interagissent avec des outils et des API externes (par exemple, un calendrier, une messagerie, une base de données). Sécurité et contrôle accrus : Le protocole MCP vise à rendre l'utilisation d'outils par les IA plus sûre et plus transparente. Il permet aux utilisateurs et aux développeurs de définir des permissions claires, de demander des confirmations pour certaines actions et de mieux comprendre comment un modèle a utilisé un outil. Création de l'Agentic AI Foundation (AAF) : Pour superviser le développement du MCP, une nouvelle fondation indépendante et à but non lucratif a été créée. Cette fondation sera chargée de gouverner et de maintenir le protocole, garantissant qu'il reste ouvert et qu'il ne soit pas contrôlé par une seule entreprise. Une large coalition industrielle : L'Agentic AI Foundation est lancée avec le soutien de plusieurs acteurs majeurs de la technologie. Parmi les membres fondateurs figurent Anthropic, Google, Databricks, Zscaler, et d'autres entreprises, montrant une volonté commune d'établir un standard pour l'écosystème de l'IA. L'IA ne remplacera pas votre auto-complétion (et c'est tant mieux) https://www.damyr.fr/posts/ia-ne-remplacera-pas-vos-lsp/ Article d'opinion d'un SRE (Thomas du podcast DansLaTech): L'IA n'est pas efficace pour la complétion de code : L'auteur soutient que l'utilisation de l'IA pour la complétion de code basique est inefficace. Des outils plus anciens et spécialisés comme les LSP (Language Server Protocol) combinés aux snippets (morceaux de code réutilisables) sont bien plus rapides, personnalisables et performants pour les tâches répétitives. L'IA comme un "collègue" autonome : L'auteur utilise l'IA (comme Claude) comme un assistant externe à son éditeur de code. Il lui délègue des tâches complexes ou fastidieuses (corriger des bugs, mettre à jour une configuration, faire des reviews de code) qu'il peut exécuter en parallèle, agissant comme un agent autonome. L'IA comme un "canard en caoutchouc" surpuissant : L'IA est extrêmement efficace pour le débogage. Le simple fait de devoir formuler et contextualiser un problème pour l'IA aide souvent à trouver la solution soi-même. Quand ce n'est pas le cas, l'IA identifie très rapidement les erreurs "bêtes" qui peuvent faire perdre beaucoup de temps. Un outil pour accélérer les POCs et l'apprentissage : L'IA permet de créer des "preuves de concept" (POC) et des scripts d'automatisation jetables très rapidement, réduisant le coût et le temps investis. Elle est également un excellent outil pour apprendre et approfondir des sujets, notamment avec des outils comme NotebookLM de Google qui peuvent générer des résumés, des quiz ou des fiches de révision à partir de sources. Conclusion : Il faut utiliser l'IA là où elle excelle et ne pas la forcer dans des usages où des outils existants sont meilleurs. Plutôt que de l'intégrer partout de manière contre-productive, il faut l'adopter comme un outil spécialisé pour des tâches précises afin de gagner en efficacité. GPT 5.2 est sorti https://openai.com/index/introducing-gpt-5-2/ Nouveau modèle phare: GPT‑5.2 (Instant, Thinking, Pro) vise le travail professionnel et les agents long-courriers, avec de gros gains en raisonnement, long contexte, vision et appel d'outils. Déploiement dans ChatGPT (plans payants) et disponible dès maintenant via l'API . SOTA sur de nombreux benchmarks: GDPval (tâches de "knowledge work" sur 44 métiers): GPT‑5.2 Thinking gagne/égale 70,9% vs pros, avec production >11× plus rapide et = 0) Ils apportent une sémantique forte indépendamment des noms de variables Les Value Objects sont immuables et s'évaluent sur leurs valeurs, pas leur identité Les records Java permettent de créer des Value Objects mais avec un surcoût en mémoire Le projet Valhalla introduira les value based classes pour optimiser ces structures Les identifiants fortement typés évitent de confondre différents IDs de type Long ou UUID Pattern Strongly Typed IDs: utiliser PersonneID au lieu de Long pour identifier une personne Le modèle de domaine riche s'oppose au modèle de domaine anémique Les Value Objects auto-documentent le code et le rendent moins sujet aux erreurs Je trouve cela interessant ce que pourra faire bousculer les Value Objects. Est-ce que les value objects ameneront de la légerté dans l'execution Eviter la lourdeur du design est toujours ce qui m'a fait peut dans ces approches Méthodologies Retour d'experience de vibe coder une appli week end avec co-pilot http://blog.sunix.org/articles/howto/2025/11/14/building-gift-card-app-with-github-copilot.html on a deja parlé des approches de vibe coding cette fois c'est l'experience de Sun Et un des points differents c'es qu'on lui parle en ouvrant des tickets et donc on eput faire re reveues de code et copilot y bosse et il a fini son projet ! User Need VS Product Need https://blog.ippon.fr/2025/11/10/user-need-vs-product-need/ un article de nos amis de chez Ippon Distinction entre besoin utilisateur et besoin produit dans le développement digital Le besoin utilisateur est souvent exprimé comme une solution concrète plutôt que le problème réel Le besoin produit émerge après analyse approfondie combinant observation, données et vision stratégique Exemple du livreur Marc qui demande un vélo plus léger alors que son vrai problème est l'efficacité logistique La méthode des 5 Pourquoi permet de remonter à la racine des problèmes Les besoins proviennent de trois sources: utilisateurs finaux, parties prenantes business et contraintes techniques Un vrai besoin crée de la valeur à la fois pour le client et l'entreprise Le Product Owner doit traduire les demandes en problèmes réels avant de concevoir des solutions Risque de construire des solutions techniquement élégantes mais qui manquent leur cible Le rôle du product management est de concilier des besoins parfois contradictoires en priorisant la valeur Est ce qu'un EM doit coder ? https://www.modernleader.is/p/should-ems-write-code Pas de réponse unique : La question de savoir si un "Engineering Manager" (EM) doit coder n'a pas de réponse universelle. Cela dépend fortement du contexte de l'entreprise, de la maturité de l'équipe et de la personnalité du manager. Les risques de coder : Pour un EM, écrire du code peut devenir une échappatoire pour éviter les aspects plus difficiles du management. Cela peut aussi le transformer en goulot d'étranglement pour l'équipe et nuire à l'autonomie de ses membres s'il prend trop de place. Les avantages quand c'est bien fait : Coder sur des tâches non essentielles (amélioration d'outils, prototypage, etc.) peut aider l'EM à rester pertinent techniquement, à garder le contact avec la réalité de l'équipe et à débloquer des situations sans prendre le lead sur les projets. Le principe directeur : La règle d'or est de rester en dehors du chemin critique. Le code écrit par un EM doit servir à créer de l'espace pour son équipe, et non à en prendre. La vraie question à se poser : Plutôt que "dois-je coder ?", un EM devrait se demander : "De quoi mon équipe a-t-elle besoin de ma part maintenant, et est-ce que coder va dans ce sens ou est-ce un obstacle ?" Sécurité React2Shell — Grosse faille de sécurité avec React et Next.js, avec un CVE de niveau 10 https://x.com/rauchg/status/1997362942929440937?s=20 aussi https://react2shell.com/ "React2Shell" est le nom donné à une vulnérabilité de sécurité de criticité maximale (score 10.0/10.0), identifiée par le code CVE-2025-55182. Systèmes Affectés : La faille concerne les applications utilisant les "React Server Components" (RSC) côté serveur, et plus particulièrement les versions non patchées du framework Next.js. Risque Principal : Le risque est le plus élevé possible : l'exécution de code à distance (RCE). Un attaquant peut envoyer une requête malveillante pour exécuter n'importe quelle commande sur le serveur, lui en donnant potentiellement le contrôle total. Cause Technique : La vulnérabilité se situe dans le protocole "React Flight" (utilisé pour la communication client-serveur). Elle est due à une omission de vérifications de sécurité fondamentales (hasOwnProperty), permettant à une entrée utilisateur malveillante de tromper le serveur. Mécanisme de l'Exploit : L'attaque consiste à envoyer une charge utile (payload) qui exploite la nature dynamique de JavaScript pour : Faire passer un objet malveillant pour un objet interne de React. Forcer React à traiter cet objet comme une opération asynchrone (Promise). Finalement, accéder au constructeur de la classe Function de JavaScript pour exécuter du code arbitraire. Action Impérative : La seule solution fiable est de mettre à jour immédiatement les dépendances de React et Next.js vers les versions corrigées. Ne pas attendre. Mesures Secondaires : Bien que les pare-feux (firewalls) puissent aider à bloquer les formes connues de l'attaque, ils sont considérés comme insuffisants et ne remplacent en aucun cas la mise à jour des paquets. Découverte : La faille a été découverte par le chercheur en sécurité Lachlan Davidson, qui l'a divulguée de manière responsable pour permettre la création de correctifs. Loi, société et organisation Google autorise votre employeur à lire tous vos SMS professionnels https://www.generation-nt.com/actualites/google-android-rcs-messages-surveillance-employeur-2067012 Nouvelle fonctionnalité de surveillance : Google a déployé une fonctionnalité appelée "Android RCS Archival" qui permet aux employeurs d'intercepter, lire et archiver tous les messages RCS (et SMS) envoyés depuis les téléphones professionnels Android gérés par l'entreprise. Contournement du chiffrement : Bien que les messages RCS soient chiffrés de bout en bout pendant leur transit, cette nouvelle API permet à des logiciels de conformité (installés par l'employeur) d'accéder aux messages une fois qu'ils sont déchiffrés sur l'appareil. Le chiffrement devient donc inefficace contre cette surveillance. Réponse à une exigence légale : Cette mesure a été mise en place pour répondre aux exigences réglementaires, notamment dans le secteur financier, où les entreprises ont l'obligation légale de conserver une archive de toutes les communications professionnelles pour des raisons de conformité. Impact pour les employés : Un employé utilisant un téléphone Android fourni et géré par son entreprise pourra voir ses communications surveillées. Google précise cependant qu'une notification claire et visible informera l'utilisateur lorsque la fonction d'archivage est active. Téléphones personnels non concernés : Cette mesure ne s'applique qu'aux appareils "Android Enterprise" entièrement gérés par un employeur. Les téléphones personnels des employés ne sont pas affectés. Pour noel, faites un don à JUnit https://steady.page/en/junit/about JUnit est essentiel pour Java : C'est le framework de test le plus ancien et le plus utilisé par les développeurs Java. Son objectif est de fournir une base solide et à jour pour tous les types de tests côté développeur sur la JVM (Machine Virtuelle Java). Un projet maintenu par des bénévoles : JUnit est développé et maintenu par une équipe de volontaires passionnés sur leur temps libre (week-ends, soirées). Appel au soutien financier : La page est un appel aux dons de la part des utilisateurs (développeurs, entreprises) pour aider l'équipe à maintenir le rythme de développement. Le soutien financier n'est pas obligatoire, mais il permettrait aux mainteneurs de se consacrer davantage au projet. Objectif des fonds : Les dons serviraient principalement à financer des rencontres en personne pour les membres de l'équipe principale. L'idée est de leur permettre de travailler ensemble physiquement pendant quelques jours pour concevoir et coder plus efficacement. Pas de traitement de faveur : Il est clairement indiqué que devenir un sponsor ne donne aucun privilège sur la feuille de route du projet. On ne peut pas "acheter" de nouvelles fonctionnalités ou des corrections de bugs prioritaires. Le projet restera ouvert et collaboratif sur GitHub. Reconnaissance des donateurs : En guise de remerciement, les noms (et logos pour les entreprises) des donateurs peuvent être affichés sur le site officiel de JUnit. Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 22 janvier 2026 : DevCon #26 : sécurité / post-quantique / hacking - Paris (France) 28 janvier 2026 : Software Heritage Symposium - Paris (France) 29-31 janvier 2026 : Epitech Summit 2026 - Paris - Paris (France) 2-5 février 2026 : Epitech Summit 2026 - Moulins - Moulins (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 3-4 février 2026 : Epitech Summit 2026 - Lille - Lille (France) 3-4 février 2026 : Epitech Summit 2026 - Mulhouse - Mulhouse (France) 3-4 février 2026 : Epitech Summit 2026 - Nancy - Nancy (France) 3-4 février 2026 : Epitech Summit 2026 - Nantes - Nantes (France) 3-4 février 2026 : Epitech Summit 2026 - Marseille - Marseille (France) 3-4 février 2026 : Epitech Summit 2026 - Rennes - Rennes (France) 3-4 février 2026 : Epitech Summit 2026 - Montpellier - Montpellier (France) 3-4 février 2026 : Epitech Summit 2026 - Strasbourg - Strasbourg (France) 3-4 février 2026 : Epitech Summit 2026 - Toulouse - Toulouse (France) 4-5 février 2026 : Epitech Summit 2026 - Bordeaux - Bordeaux (France) 4-5 février 2026 : Epitech Summit 2026 - Lyon - Lyon (France) 4-6 février 2026 : Epitech Summit 2026 - Nice - Nice (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 5 juin 2026 : TechReady - Nantes (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Hace nueve años éramos más jóvenes. O al menos eso nos gusta creer. En el episodio 1 de BIMrras hablábamos de los límites del BIM desde la ingenuidad, la ilusión y un sector que todavía no tenía claro si BIM era software, metodología o una moda pasajera. Nueve años después, el sector ha cambiado… o eso creemos. Porque ahora hablamos de ecosistemas de datos, APIs, plataformas, IA, automatización y flujos sin geometría. Pero la pregunta sigue siendo la misma: ¿Han desaparecido los límites del BIM o simplemente los hemos movido? En este episodio hablamos de los límites del BIM, 9 años después, y volvemos al punto de partida para revisar qué ha cambiado de verdad y qué seguimos haciendo exactamente igual, solo que con palabras más largas. En este episodio contamos con la colaboración de Previsión Mallorquina (https://previsionmallorquina.com) Contenido del episodio: 00:00 Introducción y presentación del podcast BIMRAS 02:10 Contexto del episodio y recuerdo del debate sobre los límites del BIM 05:40 Evolución del BIM en nueve años 08:20 De modelo geométrico a ecosistemas de datos 11:40 Interoperabilidad más allá de IFC 15:30 APIs, flujos de datos y plataformas distribuidas 19:40 El papel actual de los CDE 24:00 BIM como contenedor de datos y no solo geometría 28:10 Importancia y problemas de la sobrecarga de datos 33:20 Cultura del dato y calidad de la información 38:30 Irrupción de la inteligencia artificial en BIM 43:40 Límites reales de la IA generativa en el sector 49:50 Sistemas expertos vs IA generativa 55:30 Interoperabilidad, formatos y futuro API First 01:01:40 Neutralidad, plataformas y control de los datos 01:07:00 El factor humano como principal límite del BIM

What if understanding your codebase was no longer a blocker for great testing? Most testers were trained to work around the code — clicking through UIs, guessing selectors, and relying on outdated docs or developer explanations. In this episode, Playwright expert Ben Fellows flip that model on its head. Using AI tools like Cursor, testers can now explore the codebase directly — asking questions, uncovering APIs, understanding data relationships, and spotting risk before a single test is written. This isn't about becoming a developer. It's about using AI to finally see how the system really works — and using that insight to test smarter, earlier, and with far more confidence. If you've ever joined a new team, inherited a legacy app, or struggled to understand what really changed in a release, this episode is for you. Registration for Automation Guild 2026 Now: https://testguild.me/podag26

AI agents are moving from experimental tools to everyday enterprise workflows. Reporting live from AWS re:Invent 2025 in Las Vegas for Irish Tech News, I attended a press-only briefing titled Security and the Rise of AI Agents, where senior AWS leaders Amy Herzog, Chief Information Security Officer, Hart Rossman, Vice President in the Office of the CISO, Gea Rinehouse, Vice President of Security Services and Neha Rungta, Director of Applied Science outlined how the company intends to manage this transition. AWS is pushing ahead with autonomous agents, but only within a security model built on long-standing principles: identity, governance, compliance and clear oversight. What is an AI Agent? An AI agent is a software system that uses artificial intelligence to carry out tasks autonomously in pursuit of a specific goal. Unlike chatbots that only respond to prompts, an agent can reason, plan and take action across different steps of a workflow. It can use tools such as web services or APIs, monitor its progress and adjust its approach as conditions change. Over time, it can improve its performance based on the data and experience it gathers. This distinction matters, because the rise of agents raises new questions about accountability, access, oversight and safety. Security First AWS chief executive Matt Garman shaped much of the week's discussion. Speaking about the reality facing engineering teams, he noted: "Every customer wants their products to be secure, but you have trade-offs. Where do you spend your time? Do you improve the security of existing features, or do you ship new ones?" The briefing returned to this point several times. AWS's position is that strong design-stage security reduces the tension between improvement and innovation. Agents are seen as an opportunity to reinforce security, not dilute it. AWS Security Agent One of the major announcements at re:Invent was the preview of AWS Security Agent. The tool brings several security checks forward in the development process. It reviews designs, analyses code, gathers richer signals for incident response and performs penetration testing that reflects real system behaviour rather than generic patterns. AWS Security Agent is one of the new Frontier Agents introduced at re:Invent, a family of autonomous tools designed to handle multi-step tasks across development, security and operations. Neha Rungta described the significance of this shift. She called the Security Agent "one of these frontier AI agents, a sophisticated class of AI agents that are autonomous and scalable and can work for long periods without human intervention. Security doesn't have to be an afterthought." She added that AWS is expanding its proof-based assurance tools so teams can understand correctness without being specialists in system logic. The broader point is that verification needs to be continuous, not episodic. Guardrails for Autonomy The panel stressed that agents must operate within strict boundaries. Updated policy controls in Amazon Bedrock AgentCore allow organisations to specify what an agent can do, which systems it can reach and how its actions are logged and reviewed. Hart Rossman remarked that each major technology shift has increased the demands placed on security teams. With agents running for extended periods and across more systems, the real pressure points now are scale and speed. Guardrails are essential. The Sandbox Approach A theme repeated throughout the session was the use of sandbox environments. AWS encouraged organisations to test new agents in isolation before considering production use. This allows teams to observe long-running behaviour, confirm access paths, check escalation rules and understand how an agent reacts under different conditions. The sandbox was presented as a practical way to build confidence gradually rather than relying on assumptions. Inside the Press Briefing Questions focused on monitoring autonomy, preventing agents from widening their scope...

In this episode, Rick speaks with Phani, the VP of Marketing at Indusface, a company dedicated to securing websites and APIs against modern digital threats. Phani breaks down how Indusface supports regulated and non-regulated industries through robust protection, managed services, and global partner networks. He explains how organic search, product-led content, and deep objection-based clustering drive their strongest acquisition results. Phani also shares how rapid product release cycles shape his daily work, from building sales collateral to optimizing content around problems, competitors, and user behavior. Listeners gain a clear understanding of how strategic marketing, data discipline, and continuous iteration fuel Indusface's competitive edge.

Good morning from Pharma Daily: the podcast that brings you the most important developments in the pharmaceutical and biotech world. In the ever-dynamic landscape of these industries, recent advancements have underscored both the scientific ingenuity and strategic foresight shaping patient care today.Pfizer has unveiled promising clinical trial data for Tukysa, indicating its potential as a first-line maintenance therapy in HER2-positive breast cancer. This development suggests that Tukysa could delay disease progression, offering patients extended survival prospects and an improved quality of life. Additionally, Pfizer's recent licensing agreement with Yaopharma for YP05002—a small molecule GLP-1 agonist currently in Phase 1 trials aimed at obesity treatment—highlights their strategic push into the rapidly evolving obesity treatment market.Meanwhile, Fondazione Telethon, an Italian nonprofit organization, has achieved a significant milestone with FDA approval for Waskyra—the first gene therapy for Wiskott-Aldrich syndrome. This ex vivo gene therapy directly targets the genetic roots of this rare disease, shifting treatment from symptomatic management to addressing underlying causes. This approval is transformative not only for patients suffering from this condition but also for the broader field of gene therapies, heralding a new era in treating rare genetic disorders.On the strategic front, Eli Lilly's decision to establish a $6 billion active pharmaceutical ingredient manufacturing facility in Huntsville, Alabama, marks a pivotal investment in U.S. manufacturing capabilities. This site will be critical in producing APIs for small molecule and peptide medicines, a testament to Lilly's commitment to meeting growing therapeutic demands while bolstering domestic production resilience—a trend gaining momentum across the industry. In oncology, Eli Lilly's Jaypirca demonstrated an impressive reduction in disease progression during Phase 3 trials for chronic lymphocytic leukemia.Biocon's acquisition of Viatris' stake in their biosimilar subsidiary exemplifies the shifting dynamics within the biosimilars market. This move allows Biocon to consolidate its market position as biosimilars gain traction as cost-effective alternatives to branded biologics. Such strategic realignments are indicative of competitive maneuvering aimed at capturing greater market share and driving down healthcare costs.Roche has made strides with compelling results from its Phase 3 trial of giredestrant, an oral selective estrogen receptor degrader showing a 30% reduction in risk for invasive breast cancer recurrence or death. The significance of this development lies in offering an oral alternative to injectable treatments, potentially improving patient adherence and reshaping standard care protocols for hormone receptor-positive breast cancer. Furthermore, Roche has achieved another regulatory milestone with its monoclonal antibody Gazyvaro gaining EU approval for treating lupus nephritis following successful Phase 3 trials.Innovation continues unabated as Formation Bio forms a new subsidiary through a $605 million deal with Lynk Pharmaceuticals. By securing rights to a next-generation immunology asset, Formation Bio positions itself at the forefront of immunological research developments. Concurrently, BioNTech and Bristol Myers Squibb have reported positive results from Phase 2 trials of Pumitamig for triple-negative breast cancer—validating bispecific antibodies' efficacy within oncology.Collaborative efforts are also reshaping industry landscapes. Bora and Corealis have partnered to create an end-to-end contract development and manufacturing organization for oral solid dose drug development. This collaboration aims to streamline processes and provide scalable solutions through a single contracting source, reflecting a shift towards integrated service models that enhance efficiencySupport the show

This Week In Startups is made possible by:Goldbelly - Goldbelly.comEvery.io - http://every.io/Zite - zite.com/twistToday's show:Today, Zapier's a multi-billion company helping enterprises integrate AI agents and other time-saving shortcuts into their workflows… but we had the founder on TWiST when they were just getting started!In a 2016 chat, founder Wade Foster walked JCal through their 2012 seed round, running a small entirely remote team with no HQ, the complexities of building a tool that relies on third-party APIs, and why Microsoft Office was the “Holy Grail” for his integration software.PLUS we've got a new entrant in your Gamma Pitch Deck competition! Tour CEO/CTO Amulya Parmer tells us how his app is saving property managers time and grief, while eliminating “looky-loos” and increasing their “hit rate.”FINALLY, Alex chats with Tomas Puig of TWiST 500 marketing analysis startup Alembic. It turns out, LLMs aren't ideal for scrutinizing marketing campaigns because they lack the requisite historical data. Find out how they're using Spiking Neural Networks (SNN) to dig deeper than GPT and Claude can go.Timestamps:(02:40) Amulya from Tour opens the show with praise for Jason(03:34) Tour's 2-minute Gamma pitch: automated property tours for managers(06:47) Why Jason thinks Tour is an ideal tool for Gen Z(10:01) Goldbelly - Goldbelly ****ships America's most delicious, iconic foods nationwide! Get 20% off your first order by going to Goldbelly.com and using the promo code TWiST at checkout.(13:32) How Tour can eliminate “looky-loos” and increase the “hit rate”(14:38) Why Tour prices based on individual properties and apartments(19:13) Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit every.io.(20:23) Jason wants to sprinkle some AI into Tour(24:29) Welcoming Tomas Puig from Alembic(25:12) Does epic-scale brand marketing actually pay off for these brands?(27:27) The hardest thing about being a marketer…(28:31) Alembic's origins: organizing huge unstructured data sets(30:18) Zite - Zite is the fastest way to build business software with AI. Go to zite.com/twist to get started.(31:27) Case Study: making sense of Delta's Olympics data(33:37) Applying simulation models and supercomputers to marketing data(35:48) How Spiking Neural Networks (SNN) help Alembic spot trends and link causal relationships(41:13) The key advantage of training models on private data(43:16) Building their own clusters vs. renting(44:41) “You don't ask if you have Product Market Fit… You hold on for dear life.”(46:28) Flashback with Alex and Lon to Jason's 2016 chat with Wade Foster of Zapier(54:48) The dangers of building atop other platform's APIs(01:03:00) What Zapier learned pre-pandemic about leading remote teams(01:13:12) Why MS Office was the “Holy Grail” for early ZapierSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:01) Goldbelly - Goldbelly ****ships America's most delicious, iconic foods nationwide! Get 20% off your first order by going to Goldbelly.com and using the promo code TWiST at checkout.(19:13) Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit every.io.(30:18) Zite - Zite is the fastest way to build business software with AI. Go to zite.com/twist to get started.Follow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartups

This episode of The Dish on Health IT features Denny Brennan, Executive Director of the Massachusetts Health Data Consortium (MHDC), in conversation with host Tony Schueth, CEO of Point-of-Care Partners (POCP), and co-host Ross Martin, MD, Senior Consultant with POCP. Together, they examine how MHDC is translating national interoperability policy into practical, statewide action, specifically around the CMS-0057 rule.After brief introductions, the conversation quickly turns to MHDC's long history and why it matters. Founded in 1978, before the internet, MHDC guided Massachusetts through nearly every major health IT transition: HIPAA, Meaningful Use, ICD-10, and now interoperability and automation. Denny explains that this continuity has created something rare in healthcare: sustained trust across payers, providers, vendors, regulators, and associations. That trust, he notes, is what allows competitors to work through shared infrastructure problems that no single organization could solve on its own.From there, the discussion turns to why the MHDC community chose to coordinate and support members in their CMS-0057 compliance journey, versus just letting each member organization go it alone. Denny emphasizes that while healthcare is regulated federally, it functions locally. Each state has its own mix of insurers, hospital systems, rules, and market pressures. In Massachusetts, where long-standing relationships already exist, MHDC saw an opportunity to move faster, test real workflows, and generate lessons that could inform efforts far beyond the state.The discussion then moved to how work to improve prior authorization became such a high-priority focus. Denny describes how the process has grown into one of the most disruptive administrative burdens for clinicians. Rules vary by plan, criteria change frequently, and the information providers need is often hard to access in real time. The result is defensive behavior. Offices routinely submit prior authorizations “just in case,” often by fax or phone, simply to avoid denials and treatment delays. That inefficiency, he explains, ripples outward by slowing patient care, driving up providers' overhead, and requiring health plans to spend more time and resources processing and reviewing the required PA alongside the unneeded submissions.The financial impact quickly becomes apparent. Denny points to evidence showing that administrative costs consume a massive share of U.S. healthcare spending, with prior authorization playing a meaningful role. If automation is implemented through a neutral, nonprofit infrastructure, MHDC believes there is a much greater chance that savings will flow back into premiums and public program costs rather than being swallowed by inefficiency.Ross adds an important dose of realism. Prior authorization friction, he notes, is not always accidental. In some cases, operational complexity functions as a utilization control mechanism. That creates a built-in tension between access, cost containment, and patient experience, and helps explain why national reform has moved slowly despite widespread frustration.At that point, the conversation shifts from why this is broken to how MHDC is trying to fix it. Denny walks through MHDC's operating model: convene the full ecosystem early and often. In a recent deep-dive session, roughly 60 representatives from health plans, providers, and the state participated in a working session focused on what an automated prior authorization workflow could realistically look like. MHDC brought a draft framework to the table. The community pressure tested it and surfaced workflow conflicts, operational blind spots, and policy misalignments that no single organization could see on its own.That collaborative process, Denny explains, is the real engine behind adoption. When stakeholders help build the solution themselves, implementation becomes a shared commitment rather than a compliance exercise. It also reduces resistance later because decisions are not delivered top-down. They are constructed collectively.The discussion then turns to FHIR adoption and why, while real, progress has taken time. Denny traces the turning point back to the 21st Century Cures Act, which reframed patient access to health data as a legal right and categorized data blocking as a regulatory violation. That policy shift, combined with the growing maturity of API-based interoperability, created the conditions for real-time data exchange to finally move from theory to practice.Ross provides a historical perspective from the standards side. Earlier generations of health data standards were conceptually elegant but extremely difficult to implement consistently. FHIR changed that equation by aligning healthcare data exchange with the same API-driven architecture that supports the modern web. He points to accelerating real-world adoption, particularly from large EHR platforms, as evidence that FHIR has entered a phase of broad, practical deployment.Although pharmacy prior authorization falls outside the formal scope of CMS 0057, Denny makes clear that MHDC could not ignore it. For many physicians, especially in oncology, dermatology, and primary care, PA for prescriptions is far more frequent and far more disruptive than PAs for medical services. If MHDC solved only one side of the problem, much of the daily burden for clinicians would remain unchanged.Pharmacy prior authorization, however, introduces a new level of complexity. PBMs, pharmacists, prescribing systems, payers, and patients are all involved, often across fragmented workflows. Denny explains that the challenge looks less like a pure technology gap and more like an orchestration problem. It is about getting the right information to the right party at the right moment across multiple handoffs.Ross shares insights from the pharmacy PA research work conducted with MHDC and POCP. One of the most striking findings was the massive year-end renewal surge that hits providers every benefit cycle as authorizations tied to prior coverage suddenly expire. He also reflects on a recent national electronic prior authorization roundtable, where deep stakeholder discussion ultimately led most participants to conclude that today's technology alone still is not sufficient to fully solve pharmacy PA. The tools are improving, but the problem remains deeply multi-layered.As the episode winds down, the tone shifts toward practical calls to action.Denny challenges the industry to separate where competition belongs from where collaboration is essential. Contract negotiations may be adversarial by nature, he notes, but interoperability initiatives cannot succeed under the same mindset. Real progress depends on bringing collaboratively minded people into the room. These are people willing to solve shared infrastructure problems even when their organizations compete elsewhere.Ross builds on that message with a longer-term challenge: sustained participation in standards development. Organizations cannot sit back and hope others shape the future on their behalf. Active involvement in national standards organizations is critical. This is not for immediate quarterly returns, but to influence the systems everyone will be required to use in the years ahead.The episode closes with a clear takeaway. MHDC did not wait for perfect conditions. It moved when the pieces were good enough, tested real workflows with real stakeholders, adjusted in the open, and began sharing lessons nationally. In an industry often slowed by fragmentation and risk aversion, this conversation offers a grounded look at what forward motion actually looks like when collaboration, policy, and technology finally align.You can find this and other episodes of The Dish on Health IT wherever you get your podcasts, including Spotify and Healthcare Now Radio. If you found this conversation valuable, share it with a colleague and be sure to subscribe so you never miss an episode. Have an idea for a topic you would like us to cover in future episodes? Fill out the form and tell us about it. Until next time, Health IT is a dish best served hot. 

Viren Tellis, co-founder and CEO of Uthana, joins the show to discuss how generative AI is reshaping motion creation for games, VFX, and interactive worlds. With over 15 years of experience leading product and operations teams at AppNexus and Hedado, Viren explains how Uthana's technology can generate animation from text, video, or even in real time, giving creators instant, controllable motion without traditional mocap setups. He breaks down how developers use Uthana's SDKs and APIs in Unreal, Unity, and web platforms, what defines high-quality motion, and how foundation models for human movement could power the next generation of AI-driven characters. Subscribe to XR AI Spotlight weekly newsletter

The MCP standard gave rise to dreams of interconnected agents and nightmares of what those interconnected agents would do with unfettered access to APIs, data, and local systems. Aaron Parecki explains how OAuth's new Client ID Metadata Documents spec provides more security for MCPs and the reasons why the behavior and design of MCPs required a new spec like this. Segment resources: https://aaronparecki.com/2025/11/25/1/mcp-authorization-spec-update https://www.ietf.org/archive/id/draft-ietf-oauth-client-id-metadata-document-00.html https://oauth.net/cross-app-access/ https://oauth.net/2/oauth-best-practice/ Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-360

The MCP standard gave rise to dreams of interconnected agents and nightmares of what those interconnected agents would do with unfettered access to APIs, data, and local systems. Aaron Parecki explains how OAuth's new Client ID Metadata Documents spec provides more security for MCPs and the reasons why the behavior and design of MCPs required a new spec like this. Segment resources: https://aaronparecki.com/2025/11/25/1/mcp-authorization-spec-update https://www.ietf.org/archive/id/draft-ietf-oauth-client-id-metadata-document-00.html https://oauth.net/cross-app-access/ https://oauth.net/2/oauth-best-practice/ Show Notes: https://securityweekly.com/asw-360

The MCP standard gave rise to dreams of interconnected agents and nightmares of what those interconnected agents would do with unfettered access to APIs, data, and local systems. Aaron Parecki explains how OAuth's new Client ID Metadata Documents spec provides more security for MCPs and the reasons why the behavior and design of MCPs required a new spec like this. Segment resources: https://aaronparecki.com/2025/11/25/1/mcp-authorization-spec-update https://www.ietf.org/archive/id/draft-ietf-oauth-client-id-metadata-document-00.html https://oauth.net/cross-app-access/ https://oauth.net/2/oauth-best-practice/ Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-360

Take a Network Break! Our Red Alert calls out a dangerous vulnerability in the popular open-source React library. On the news front, HPE decides on a “both and” strategy for its two wireless portfolios and rolls out an option to let customers pick and choose among cross-platform features in Mist and Aruba Networking Central through... Read more »

Take a Network Break! Our Red Alert calls out a dangerous vulnerability in the popular open-source React library. On the news front, HPE decides on a “both and” strategy for its two wireless portfolios and rolls out an option to let customers pick and choose among cross-platform features in Mist and Aruba Networking Central through... Read more »

Take a Network Break! Our Red Alert calls out a dangerous vulnerability in the popular open-source React library. On the news front, HPE decides on a “both and” strategy for its two wireless portfolios and rolls out an option to let customers pick and choose among cross-platform features in Mist and Aruba Networking Central through... Read more »

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Marek Kozlowski, Head of the AI Lab at Poland's National Information Processing Institute, discusses project PLLuM (Polish Large Language Models). PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. He shares how countries like Poland can achieve AI sovereignty by training small, locally-adapted models for specific languages and cultures, ensuring control, privacy, and cost advantages. The conversation delves into challenges like frontier models' English bias, EU regulations, and technical strategies like "Language Adaptation" on base models. Discover how transparently created, locally-controlled AI offers a viable path for nations to maintain their technological destiny. LINKS: National Information Processing Institute Show notes source with images PLLuM open chat service Sponsors: Google AI Studio: Google AI Studio features a revamped coding experience to turn your ideas into reality faster than ever. Describe your app and Gemini will automatically wire up the right models and APIs for you at https://ai.studio/build Agents of Scale: Agents of Scale is a podcast from Zapier CEO Wade Foster, featuring conversations with C-suite leaders who are leading AI transformation. Subscribe to the show wherever you get your podcasts Framer: Framer is the all-in-one platform that unifies design, content management, and publishing on a single canvas, now enhanced with powerful AI features. Start creating for free and get a free month of Framer Pro with code COGNITIVE at https://framer.com/design Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) Sponsor: Google AI Studio (00:31) About the Episode (03:17) Sovereign AI in Poland (04:41) The Case for Localization (13:38) The PLUME Project's Mission (Part 1) (20:25) Sponsors: Agents of Scale | Framer (22:47) The PLUME Project's Mission (Part 2) (22:47) Defining Polish AI Values (35:32) Sourcing and Curating Data (Part 1) (35:38) Sponsors: Tasklet | Shopify (38:46) Sourcing and Curating Data (Part 2) (44:40) Small Models, Big Advantage (58:21) Training and Domain Adaptation (01:12:22) Compute, Talent, and Geopolitics (01:22:50) Forming International AI Alliances (01:27:41) Decentralized AI and Conclusion (01:31:47) Outro

At the Fall '25 vCon conference in Washington, D.C., Doug Green, Publisher of Technology Reseller News, sat down with Dan Petrie, CEO & President of SIPez, to talk about the origins, purpose, and practical future of vCon technology. Petrie, who co-authored the original vCon draft and brought it to the IETF in 2003, describes vCon as a “standard container for capturing conversations” across voice, video, messaging, email, web chat, and more—bringing structure and consistency to interaction data that has long been fragmented across proprietary platforms. Drawing an analogy to Adobe's breakthrough with PDF, Petrie explains that just as PDF standardized how documents are represented and shared regardless of word processor or device, vCon does the same for conversational data. By abstracting common elements like parties, metadata, transcripts, and even AI-generated analytics into a unified format, vCons allow enterprises to capture, store, and analyze interactions from call centers, UCaaS platforms, and messaging systems in a consistent way. This unlocks deeper analysis—such as customer sentiment, agent performance, product feedback, and workflow optimization—without having to wrestle with dozens of incompatible APIs. Petrie stresses that vCon is especially valuable in an AI-driven world, where structured, well-labeled data is essential. “To get real value from AI, you need structured data,” he notes, pointing out that large language models like ChatGPT can only work on limited context windows and rely on upstream systems to extract, segment, and feed the right portions of conversation data. vCons provide that layer: a rich, extensible container that supports encryption, signing, redaction, amendments, and complex scenarios such as multi-leg call transfers and agent handoffs. Much of Petrie's advice is practical: don't try to build everything from scratch. SIPez maintains open-source vCon projects (such as PyvCon) and also offers a commercial vCon recording and AI analysis solution for the NetSapiens platform, giving service providers and MSPs a faster on-ramp. As more vendors add vCon interfaces and as small and mid-sized providers adopt these tools, Petrie believes 2026 will be a pivotal year for MSPs and channel partners to start monetizing vCon-based analytics and services across horizontal markets—from healthcare to customer support and beyond. To learn more about SIPez's vCon tools, open-source projects, and consulting services, visit http://sipez.com/.

(This is made with AI from our sponsor, Buzzsprout)We break down the Recap Apocalypse across Spotify, YouTube, Apple, and Amazon, then dig into craft with Brad Mielke on how Start Here reached 2,000 episodes by prioritising clarity, titles that pull, and audio-first production. Data meets discipline and the result is steady growth without burnout.• Spotify's Creator Wrapped as a real growth tool• YouTube's US-only charts and watch-time logic• Apple Replay and Amazon Delivered compared• Why hosts should build their own year-in-review• Start Here's daily format and guest booking tactics• Titles that drive plays and timely packaging• News avoidance, constructive journalism, balance• Audio-only discipline vs video tradeoffs• UK podcast charts and creator ad spend signals• iOS auto-chapters and timed links for navigation• V4V, boosts, and payment standard progress• New tools, APIs, and analytics experimentsStart podcasting, keep podcasting with BuzzSprout.comSend James & Sam a messageSupport the showConnect With Us: Email: weekly@podnews.net Fediverse: @james@bne.social and @samsethi@podcastindex.social Support us: www.buzzsprout.com/1538779/support Get Podnews: podnews.net

Jake and Michael discuss all the latest Laravel releases, tutorials, and happenings in the community.This episode is sponsored by CodeRabbit; Smart CLI Reviews act as quality gates for Codex, Claude, Gemini, and you.Show linksBlade @hasStack Directive Added in Laravel 12.39 Time Interval Helpers in Laravel 12.40 Pause a Queue for a Given Number of Seconds in Laravel 12 PHP 8.5 is released with the pipe operator, URI extension, new array functions, and more Introducing Mailviews Early Access Prevent Disposable Email Registrations with Email Utilities for Laravel A DynamoDB Driver for the Laravel Auditing Package Build Production-ready APIs in Laravel with Tyro TutorialsSeparate your Cloudflare page cache with a middleware group PostgreSQL vs. MongoDB for Laravel: Choosing the Right Database Modernizing Code with Rector - Laravel In Practice EP12 Static Analysis Secrets - Laravel In Practice EP13 

Send us a textThis quick-tip episode breaks down the blueprint for building a high-efficiency insurance eligibility system that actually works—before the chaos of January hits. Brandon reveals the annual VOB strategy top practices use to stay ahead: forming a dedicated verification task force, running preseason workflow simulations, batching by payer, gamifying team performance, using standups and dashboards, and applying smart tools like APIs and AI phone verification. He walks through how to prep your team months in advance, streamline communication, prevent burnout, and protect your revenue from missed benefits, incorrect data, and preventable errors. If your practice struggles every January with verification bottlenecks, denials, or frantic phone calls, this episode gives you a proven, repeatable model to transform your entire VOB process—and start the year with clarity, accuracy, and confidence. Welcome to Private Practice Survival Guide Podcast hosted by Brandon Seigel! Brandon Seigel, President of Wellness Works Management Partners, is an internationally known private practice consultant with over fifteen years of executive leadership experience. Seigel's book "The Private Practice Survival Guide" takes private practice entrepreneurs on a journey to unlocking key strategies for surviving―and thriving―in today's business environment. Now Brandon Seigel goes beyond the book and brings the same great tips, tricks, and anecdotes to improve your private practice in this companion podcast. Get In Touch With MePodcast Website: https://www.privatepracticesurvivalguide.com/LinkedIn: https://www.linkedin.com/in/brandonseigel/Instagram: https://www.instagram.com/brandonseigel/https://wellnessworksmedicalbilling.com/Private Practice Survival Guide Book

In this episode of The Product Experience, host Randy Silver speaks with Teresa Huang — Head of Product for Enablement at global health‑insurer Bupa — about the often‑overlooked world of platform product management. They explore why building internal platforms is fundamentally different and often more challenging than building user‑facing products, how to measure the value of platform work, and practical strategies for gaining stakeholder alignment, driving platform adoption and demonstrating business impact.Chapters0:00 – Why “efficiency” alone no longer cuts it — measuring platform impact in business terms1:02 – Teresa's background: from business analyst to head of product in health insurance6:20 – What we mean by “platform product management” — internal tools vs marketplace vs public‑API platforms7:44 – Why you need to “hop two steps”: address developer needs and end-customer value10:24 – Types of platforms: internal APIs, marketplace ecosystems, public‑facing platforms (e.g. like Shopify)10:55 – Reframing platform work: building business cases instead of chasing “efficiency” metrics13:16 – Linking platform initiatives to core business goals and joint OKRs15:47 – The importance of visualisation — using prototypes and role‑plays to communicate platform value20:57 – Internal showcases: keeping stakeholders engaged with real‑world scenarios23:28 – Success metrics for platforms: adoption, usage, reliability, ecosystem growth26:00 – Retiring legacy services: deciding when low-use tools should be decommissioned28:55 – From cost centre to enabler: shifting the narrative to show value creationOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

In this episode of the Power Producers Podcast, David Carothers, Kyle Houck, and Clinton Houck explore how technology, customer experience, and new product offerings are reshaping opportunities in the insurance industry.  Clinton, who started his career at State Farm and later moved into the insurtech space, shares how his path led him to Fair, a company reimagining the vehicle warranty space. Historically plagued by poor customer experiences and shady telemarketing tactics, warranties are being reinvented as a trustworthy, transparent, and agency-distributed product.  Key Highlights: Disrupting Auto Warranties Clinton Houk explains how Fair eliminates dealership markups and regulation issues to offer independent agents a transparent, partner-focused warranty solution with a superior claims experience. The "Plus One" Cross-Sell Learn how to seamlessly integrate warranty discussions into everyday workflows. This strategy offers clients critical financial protection against repair bills while boosting agency revenue and retention. Closing Commercial Coverage Gaps David and Clinton highlight a major opportunity: protecting rideshare drivers and commercial fleets, which are often excluded by standard personal warranties, from cash flow shocks. Plug-and-Play Sales Tech   Clinton details Fair's agent-friendly technology, from embeddable quoting links and APIs to an in-house sales team that can handle the entire process for your agency. Connect with: David Carothers LinkedIn Clinton Houck LinkedIn Kyle Houck LinkedIn Visit Websites: Power Producer Base Camp Fair Killing Commercial Crushing Content Power Producers Podcast Policytee The Dirty 130 The Extra 2 Minutes

This special ChinaTalk cross-post features Zixuan Li of Z.ai (Zhipu AI), exploring the culture, incentives, and constraints shaping Chinese AI development. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. The discussion covers Z.ai's powerful GLM 4.6 model, their open weights strategy as a marketing tactic, and unique Chinese AI use cases like "role-play." Gain insights into the rapid pace of innovation, the talent market, and how Chinese companies view their position relative to global AI leaders. Sponsors: Google AI Studio: Google AI Studio features a revamped coding experience to turn your ideas into reality faster than ever. Describe your app and Gemini will automatically wire up the right models and APIs for you at https://ai.studio/build Agents of Scale: Agents of Scale is a podcast from Zapier CEO Wade Foster, featuring conversations with C-suite leaders who are leading AI transformation. Subscribe to the show wherever you get your podcasts Framer: Framer is the all-in-one platform that unifies design, content management, and publishing on a single canvas, now enhanced with powerful AI features. Start creating for free and get a free month of Framer Pro with code COGNITIVE at https://framer.com/design Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) Sponsor: Google AI Studio (00:31) About the Episode (03:44) Introducing Z.AI (07:07) Drupu AI's Backstory (09:38) Achieving Global Recognition (Part 1) (12:53) Sponsors: Agents of Scale | Framer (15:15) Achieving Global Recognition (Part 2) (15:15) Z.AI's Internal Culture (19:17) China's AI Talent Market (24:39) Open vs. Closed Source (Part 1) (24:46) Sponsors: Tasklet | Shopify (27:54) Open vs. Closed Source (Part 2) (35:16) Enterprise Sales in China (40:38) AI for Role-Playing (45:56) Optimism vs. Fear of AI (51:36) Translating Internet Culture (57:11) Navigating Compute Constraints (01:03:59) Future Model Directions (01:15:02) Release Velocity & Work Culture (01:25:04) Outro

Send us a textStop guessing your way through sales. We sit down with Carolyn Miller—builder's daughter, top-performing dealer, sales trainer, and CRM implementer—to map a simple path from chaotic follow-up to a clean, scalable system that grows shed and post‑frame sales. Carolyn's Ask, Listen, Solve framework anchors the conversation: ask smarter questions that surface real needs, listen for budget, timing, and site constraints, then solve with a clear next step that moves the deal forward. From there, we translate that human process into technology your team will actually use.You'll hear concrete examples of how a right-sized CRM becomes more than a contact list. We talk automations that text prospects within minutes of a configurator submission, task sequences that keep quotes alive, and post‑delivery check-ins that trigger five‑star Google reviews and referrals. Carolyn shares a client win where automation alone revived a lead the salesperson had written off, turning it into an $800 profit carport sale. We also open the hood on integrations—connecting IdeaRoom or Digital Shed Builder to capture high-intent leads, syncing orders to QuickBooks Online to eliminate double entry, and pushing projects to monday.com so production and delivery stay in lockstep with sales.If your tech stack already feels crowded, this chat will help you make it act like one system. We cover when to use APIs, webhooks, and Zapier, and why a simple front end matters more than a flashy dashboard. Most importantly, we focus on adoption: weekly coaching, tight feedback loops, and small refinements so your team starts the day in the CRM and never loses the thread with a customer again. Ready to replace “winging it” with a repeatable process that frees your time and lifts your close rate? Hit play, then tell us your biggest follow-up bottleneck—we'll tackle it in a future installment. If you find value here, subscribe, leave a review, and share this with a dealer who needs a cleaner system.For more information or to know more about the Shed Geek Podcast visit us at our website.Would you like to receive our weekly newsletter?  Sign up here.Follow us on Twitter, Instagram, Facebook, or YouTube at the handle @shedgeekpodcast.To be a guest on the Shed Geek Podcast visit our website and fill out the "Contact Us" form.To suggest show topics or ask questions you want answered email us at info@shedgeek.com.This episodes Sponsors:Studio Sponsor: Shed ProIdentigrowCALCardinal LeasingDigital Shed Builder

In this episode of The Product Experience, host Randy Silver speaks with Teresa Huang — Head of Product for Enablement at global health‑insurer Bupa — about the often‑overlooked world of platform product management. They explore why building internal platforms is fundamentally different and often more challenging than building user‑facing products, how to measure the value of platform work, and practical strategies for gaining stakeholder alignment, driving platform adoption and demonstrating business impact. Chapters0:00 – Why “efficiency” alone no longer cuts it — measuring platform impact in business terms1:02 – Teresa's background: from business analyst to head of product in health insurance6:20 – What we mean by “platform product management” — internal tools vs marketplace vs public‑API platforms7:44 – Why you need to “hop two steps”: address developer needs and end-customer value10:24 – Types of platforms: internal APIs, marketplace ecosystems, public‑facing platforms (e.g. like Shopify)10:55 – Reframing platform work: building business cases instead of chasing “efficiency” metrics13:16 – Linking platform initiatives to core business goals and joint OKRs15:47 – The importance of visualisation — using prototypes and role‑plays to communicate platform value20:57 – Internal showcases: keeping stakeholders engaged with real‑world scenarios23:28 – Success metrics for platforms: adoption, usage, reliability, ecosystem growth26:00 – Retiring legacy services: deciding when low-use tools should be decommissioned28:55 – From cost centre to enabler: shifting the narrative to show value creationOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Ben Toner once again joins Keith Parsons to explain the new WLAN-Pi App. Originally built to control the WLAN-Pi Go, the app now works with all WLAN-Pi models and consolidates controls previously spread across the web UI and APIs. They then dive deeper into the method of connectivity for the app and the functionalities it... Read more »