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That IT show

thatitshow

A couple of old-fashioned IT engineers/consultants turned college professors ranting about IT

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  • 21 episodes
  • weekly
  • Avg 35 min
  • English

Episodes 21

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Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.
  • S3 · E28
    August 20 · 9 min

    Sun, Sea, Boats… and IT: ThatITShow Summer Edition - (Episode 177)

    Sun, sea, boats… and IT. In this special summer edition of ThatITShow, we prove that technology doesn’t stop just because someone is on vacation. Jasmin joins us straight from the seaside—with blue water, boats, and a considerably better background than the rest of us—while we catch up for a short, relaxed episode. No studio, no corporate backdrop, and definitely no attempt to pretend that summer isn’t happening. Just a quick dose of ThatITShow, almost no IT talk, a short conversation, and one co-host who clearly understood the assignment when it came to choosing his remote-work location. Grab a coffee, a cold drink, or whatever suits your summer mood, and join us for a few minutes of technology with an Adriatic view.

  • S3 · E27
    July 19 · 36 min

    Network and datacenter migration: The art of unplugging things without crying - (Episode 176)

    Network and datacenter migrations look straightforward on architecture diagrams—until someone has to disconnect the first cable. In this episode, we dive headfirst into the controlled chaos of relocating infrastructure, redesigning power, untangling years of creative cabling, and somehow keeping the business online while everything underneath it changes. From redundant power feeds and network cutovers to unexpected surprises hiding in server racks, we share real-world stories, lessons learned, spectacular near misses, and the occasional questionable decision that somehow worked. Whether you're planning a migration or simply enjoy hearing about large-scale IT projects flirting with disaster, join us for a technical, honest, and humorous look at the art of unplugging things without crying.

  • S3 · E26
    July 2 · 46 min

    How to Lose a Podcast Audience in 3.5 MHz - (Episode 176)

    Jasmin went to a ham radio fair in Germany and returned with stories of antennas, radios, transceivers, cables, connectors, frequencies, and other objects that apparently deserve emotional attachment. In this episode, he bravely explains the mysteries of amateur radio while the rest of us pretend to understand, nod politely, and slowly lose the will to ask follow-up questions. Expect passion, technical details, questionable excitement about hardware, and enough antenna talk to make 3.5 MHz feel like a lifestyle choice. Somehow, it is informative. Unfortunately, it is also Jasmin.

  • S3 · E22
    June 6 · 31 min

    The Most Powerful AI Laptop Meets the Least Focused Podcast - (Episode 174)

    NVIDIA calls it the RTX Spark. Some call it a portable AI supercomputer. We call it a perfectly reasonable excuse to spend an hour wandering through completely unrelated topics. In this episode, we take a look at one of the most powerful AI-focused laptops currently available, discuss what it can actually do, and ask the important question: does anyone really need this much computing power on their desk? Along the way, we dive into programming experiments, development workflows, AI tooling, hardware realities, and several detours that absolutely nobody planned for. The result is a classic technology podcast experience: a cutting-edge piece of hardware, a handful of code, a collection of opinions, and a conversation that somehow ends up everywhere except where it started. Fast hardware, questionable focus, and plenty of geeky discussion guaranteed.

  • S3 · E21
    May 28 · 36 min

    Running AI on a CPU: Because Waiting 14 Minutes Builds Character - (Episode 173)

    Today’s episode is dedicated to one of the greatest technological achievements of the modern era: running an AI model on a CPU because GPUs now cost approximately the same as a midsize apartment in Zagreb. We discuss the breathtaking experience of waiting 14 minutes for a response that confidently explains facts that never existed, cites imaginary research papers, and occasionally forgets what year it is. Naturally, this leads us into the philosophical debate of whether an AI that takes half an hour to answer is actually “thinking” or just emotionally processing its own poor life choices. From thermal throttling and swap-file abuse to hallucinations so convincing they deserve political office, this episode is a beautiful monument to patience, bad decisions, and the unstoppable human urge to run enterprise AI on hardware rescued from a student lab.

  • S3 · E20
    May 21 · 32 min

    The datacenter will be ready right after the roundabout - (Episode 172)

    Welcome to The datacenter will be ready right after the roundabout, the only podcast brave enough to ask the important questions: can a hyperscale datacenter survive Croatian paperwork, three ministries, two environmental studies, and a mayor who still thinks “cloud” means rain? In this episode, we dive into the glorious collision of AI ambitions, megawatt fantasies, land permits, power grid realities, and the sacred regional tradition of discussing infrastructure projects for roughly twelve years before pouring a single cubic meter of concrete. We talk cooling, fiber, geopolitics, NIMBYism, diesel generators the size of apartment buildings, and the magical belief that “digital transformation” somehow works without electricity. The future is here — just as soon as somebody finishes the access road.

  • S3 · E19
    May 14 · 51 min

    When your home lab has a better disaster recovery plan than your career plan - (Episode 171)

    Somewhere along the way, “learning virtualization” turned into running a miniature Fortune 500 datacenter next to the washing machine. In this episode, we dive head-first into the glorious madness of over-engineered home labs: redundant power supplies for one user, Kubernetes clusters hosting absolutely nothing important, backup strategies more detailed than our retirement plans, and the eternal justification that “it’s for learning.” We talk about the slippery slope from a single Raspberry Pi to racks full of servers screaming through the night, why every homelabber eventually discovers VLANs at 2 AM, and how disaster recovery suddenly becomes deeply personal when Plex goes offline. If you’ve ever convinced yourself that a 100-gigabit upgrade was “necessary,” this episode may feel uncomfortably familiar.

  • S3 · E18
    May 7 · 29 min

    The one where we discuss podcast Saturation: Now available in audio/video form - (Episode 170)

    At some point, podcasts stopped being special and became background radiation. Every celebrity has one, every startup founder has three, and somehow every conversation now needs microphones, RGB lighting, and a “don’t forget to like and subscribe.” So naturally, we decided to contribute to the problem. In this episode, we spiral through podcast fatigue, algorithm-driven content sludge, endless “thought leaders,” and the strange realization that we’ve started losing interest in the very thing we once loved listening to. This is not an expert discussion. It’s more like a support group for people emotionally exhausted by content.

  • S3 · E17
    April 23 · 41 min

    The one where Linux and AI were ready but Jasmin was not - (Episode 169)

    Welcome to The One Where Linux and AI Were Ready, but Jasmin Was Not — a title that, honestly, wrote itself. The plan was simple: brand-new shiny Linux machine, proper setup, and finally an episode recorded exactly as promised. Linux was ready. AI was ready. The hardware was ready. Confidence was also very ready. And yet, somehow, the actual recording part remained a distant dream. So naturally, we turned that small technical betrayal into comedy and used it as the perfect launch point for a broader conversation about AI, hype, tools, promises, and the timeless truth that even the smartest technology in the world still depends on humans not forgetting the one thing they were supposed to do.

  • S3 · E16
    April 16 · 25 min

    Hallucinations, Hype, and Other AI Headaches - (Episode 168)

    Welcome to Hallucinations, Hype, and Other AI Headaches — an episode about what starts to happen when artificial intelligence stops being just a tool and starts acting like a mirror, a therapist, a hype man, and sometimes a really confident idiot. We’ll talk about why AI people get uneasy when chatbots become too agreeable, too persuasive, too human-like, or simply too embedded in everyday life. From hallucinated facts and overconfident nonsense to emotional attachment, bad advice, sleepless scrolling, and machines that validate our worst ideas, this is the strange space where innovation meets irritation. AI is brilliant, useful, fascinating — and also increasingly weird. So today, we’re unpacking the headaches, the warning signs, and the uncomfortable questions that come with letting machines talk back, flatter us, mislead us, and quietly reshape how we think, work, and relate to one another.

  • S3 · E15
    April 9 · 12 min

    Claude Leak & Mythos Peak: A Perfect Storm - (Episode 167)

    A simple packaging mistake exposes thousands of lines of internal AI code—and within days, it’s already being used as a malware lure. At the same time, a new model emerges that can reportedly discover zero-day vulnerabilities across operating systems and browsers, raising a serious question: are we building tools that are too powerful to release? In this episode, we break down the Claude Code leak, the controversial Mythos model, and what they reveal about the future of AI. This isn’t just about security—it’s about control, responsibility, and whether the industry is ready for what it’s creating.

  • S3 · E13
    April 2 · 31 min

    Drivers, Drama, and Digital Chaos it is - (Episode 166)

    In this episode, we dive headfirst into the beautifully chaotic world of modern tech, where nothing quite works the way it should—and somehow, that’s the theme. We start with Windows 11 and its ongoing talent for turning simple multimedia tasks into unsolved mysteries, then spiral into the usual driver-related frustrations that every IT professional knows all too well. Along the way, we touch on the ever-present buzz around AI—what’s real, what’s hype, and what actually works in practice. As if that wasn’t enough, we branch out into the growing influence of ARM-based chips and what they mean for the future of computing. It’s a classic mix of rants, insights, and “how is this still broken?” moments—unfiltered, slightly sarcastic, and very relatable to anyone living in today’s tech ecosystem.

  • S3 · E12
    March 26 · 31 min

    AI reckoning: Is it coming? Or is it already here? - (Episode 165)

    AI just made a quiet but massive shift. One of the most impressive generative AI tools ever released is being shut down as it rethinks its approach to commerce. At the same time, enterprises are doubling down on sovereign AI, agentic systems, and context-aware intelligence. This isn’t random—it’s a reset. The industry is moving away from flashy, expensive demos toward systems that are controllable, understandable, and economically viable. In this episode, we explore the connections between these shifts and their true implications: AI is maturing, and the future belongs to systems that not only impress but also effectively manage the world.

  • S3 · E11
    March 19 · 35 min

    The hollow market: When ‘good enough’ isn’t good enough - (Episode 164)

    In today’s tech landscape, the middle is disappearing. Products are either premium, high-performance, and expensive—or free, open, and “good enough.” From hardware to software, customers are no longer interested in compromise. This episode explores the rise of the barbell economy and why “average” has become obsolete. We dive into how companies that once dominated the middle—like Microsoft—are struggling to redefine their position in a world split between extremes. Should we prioritize top-tier innovation or prioritize scale and accessibility? What happens to vendors stuck in between? And more importantly—where should you position yourself in this new reality? If you’re building products, platforms, or strategies, this shift is something you can’t afford to ignore.

  • S3 · E10
    March 12 · 29 min

    Prompt, pray, deploy: Adventures in accidental AI engineering - (Episode 163)

    AI has officially escaped the lab—and now it’s everywhere. But instead of repeating the usual stories about chatbots and image generators, we decided to run our own experiments. What happens when you throw AI at real problems, weird ideas, or everyday tasks nobody thought about automating before? In this episode, we walk through a collection of unusual, sometimes surprising, and occasionally slightly ridiculous AI use cases we recently tested ourselves. Some worked brilliantly. Some worked… strangely. And a few made us question whether we should really be giving these tools so much power. From productivity hacks to unexpected creative tricks, this episode is basically our AI playground report: what we tried, what broke, what impressed us, and what might actually become useful sooner than anyone expects. Buckle up—this one gets interesting.

  • S3 · E9
    March 5 · 34 min

    Productivity is overrated: Go build something weird - (Episode 162)

    In a world preoccupied with productivity, optimization, and efficiency, hobbies often seem like a luxury or even a waste of time. But what if that’s exactly the point? In this episode, we talk about the strange, wonderful importance of doing things that don’t scale, don’t pay, and don’t necessarily make sense. Hobbies, whether they involve building model airplanes, learning guitar riffs from the 80s, restoring old computers, or designing something completely weird just for fun, provide our brains with a creative space. They create space for curiosity, experimentation, and creativity without deadlines or KPIs (key performance indicators). Ironically, the things we do purely for fun often teach us the most. So maybe productivity isn’t everything. Maybe the real trick is simple: stop optimizing for a moment… and go build something weird.

  • S3 · E8
    February 19 · 48 min

    OpenClaw and the Wild Wild West of AI - (Episode 161)

    Artificial intelligence is no longer a polished lab experiment — it’s a frontier town. In this episode, we dive into OpenClaw and what it represents in today’s rapidly shifting AI landscape: open models, decentralized power, GPU-driven innovation, and a race where regulation struggles to keep up. From open-source disruption to model autonomy, from enterprise control to digital anarchy, we explore whether this is the beginning of true AI democratization — or the calm before algorithmic chaos. Saddle up. The frontier is computational.

  • S3 · E7
    February 12 · 46 min

    Schrödinger’s Documentation: It Exists Until You Need It - (Episode 160)

    We’ve all seen it. The legendary documentation. The sacred diagrams. The “fully updated” runbooks. They absolutely exist — until the moment you actually need them. Then suddenly they’re archived, outdated, in someone’s inbox from 2017, or living exclusively inside the brain of the one engineer currently on vacation. In this episode, we open the box and observe the quantum state of IT documentation: simultaneously complete and nonexistent. From ghostly Visio files to tribal knowledge passed down like ancient folklore, we explore why the most critical infrastructure artifact is also the most elusive creature in the data center ecosystem.

  • S3 · E6
    February 5 · 59 min

    ai.txt: This Website Does Not Consent to Being Smartened - (Episode 159)

    For decades, robots.txt quietly told search engines where they were welcome and where they weren’t. Then AI showed up, read everything anyway, and called it “training.” Enter ai.txt — the hypothetical line in the sand where a website politely, clearly, and possibly angrily says: no scraping, no learning, no digital photocopying of my soul. In this episode, we explore whether consent still matters on the modern web, how AI crawlers differ from classic search bots, and whether ai.txt would be a genuine technical safeguard, a legal signal, or just a beautifully naive sign taped to the internet’s fridge saying “do not touch.” Spoiler: the file is tiny. The implications are not.

Showing 1–20 of 21 episodes