Podcasts about Raspberry Pi

Meta pays up in a landmark teen safety settlement & establishes new online safety measures for teens, Raspberry Pi goes official on the cyberdeck craze, and looking at what Apple unveiled earlier this week & looking ahead to Apple's September event. Meta settled a lawsuit with over 47 states and territories over harms to teens, agreeing to independently tested age verification, daily time limits, notification restrictions, and parental alerts on Instagram and Facebook. Raspberry Pi is getting in on the cyberdeck craze as the company published an official cyberdeck tutorial with a parts list and build instructions. And D. Griffin Jones joins the show to talk about Apple's updates to its Mac mini and Mac Studio, and what the expectations may be for its "Surprise and Shine" September event. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: D. Griffin Jones Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: horizon3.ai/technews threatlocker.com/twit outsystems.com/twit cirasync.com/TNW

Meta pays up in a landmark teen safety settlement & establishes new online safety measures for teens, Raspberry Pi goes official on the cyberdeck craze, and looking at what Apple unveiled earlier this week & looking ahead to Apple's September event. Meta settled a lawsuit with over 47 states and territories over harms to teens, agreeing to independently tested age verification, daily time limits, notification restrictions, and parental alerts on Instagram and Facebook. Raspberry Pi is getting in on the cyberdeck craze as the company published an official cyberdeck tutorial with a parts list and build instructions. And D. Griffin Jones joins the show to talk about Apple's updates to its Mac mini and Mac Studio, and what the expectations may be for its "Surprise and Shine" September event. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: D. Griffin Jones Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: horizon3.ai/technews threatlocker.com/twit outsystems.com/twit cirasync.com/TNW

Meta pays up in a landmark teen safety settlement & establishes new online safety measures for teens, Raspberry Pi goes official on the cyberdeck craze, and looking at what Apple unveiled earlier this week & looking ahead to Apple's September event. Meta settled a lawsuit with over 47 states and territories over harms to teens, agreeing to independently tested age verification, daily time limits, notification restrictions, and parental alerts on Instagram and Facebook. Raspberry Pi is getting in on the cyberdeck craze as the company published an official cyberdeck tutorial with a parts list and build instructions. And D. Griffin Jones joins the show to talk about Apple's updates to its Mac mini and Mac Studio, and what the expectations may be for its "Surprise and Shine" September event. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: D. Griffin Jones Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: horizon3.ai/technews threatlocker.com/twit outsystems.com/twit cirasync.com/TNW

Meta pays up in a landmark teen safety settlement & establishes new online safety measures for teens, Raspberry Pi goes official on the cyberdeck craze, and looking at what Apple unveiled earlier this week & looking ahead to Apple's September event. Meta settled a lawsuit with over 47 states and territories over harms to teens, agreeing to independently tested age verification, daily time limits, notification restrictions, and parental alerts on Instagram and Facebook. Raspberry Pi is getting in on the cyberdeck craze as the company published an official cyberdeck tutorial with a parts list and build instructions. And D. Griffin Jones joins the show to talk about Apple's updates to its Mac mini and Mac Studio, and what the expectations may be for its "Surprise and Shine" September event. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: D. Griffin Jones Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: horizon3.ai/technews threatlocker.com/twit outsystems.com/twit cirasync.com/TNW

Podcasting 2.0 August 21st 2026 Episode 268 - "Dead Hanging Safari" It's always DNS or CORS - and how your right brain is gating bad robots Show Notes ------------------------------------------------------------------------------------------------------------------------------------- 00 - THE LOCATION TAG — SPEC TO DATASET TO GLOBE IN 48 HOURS The lead, and it's yours: Wednesday afternoon Dave posted — "There is a new locations data set on the public datasets page... The db tables are still back-filling since I updated the db and aggregators to support the new tag format. After a couple of days it should be mostly complete." He cc'd @james, @alberto, @js and then @DavidMarzalC. That cc list is the whole story — within 48 hours all four had done something with it. @dave — the locations dataset post (20 Aug) The shipping trail: web-ui PR #608, "add locations export to public data sets," branch public_datasets → merged to master the same afternoon. This is the first public dataset built on the new location tag format rather than the old one. Then somebody built the map. By Friday morning Alberto had radar.rss.io/#globe up — a spinning globe of podcasts made in or about places on earth, drawn from the free dataset, most entries carrying full OpenStreetMap references. James put it in front of the OpenStreetMap community directly: "One for excellent people using @openstreetmap." James's review, and the two asks: "This is so cool. Really shows the power of the location tag. The globe — would be nice to add filters to that (made in vs about). Or maybe just colour the dots differently? The next trick would be some OSM lookups on the IDs to work out what the places are."

KI-Wasserzeichen, Smart Glasses, Pegasus und die Rückkehr der Videothek – eine Folge voller Technik, die gleichzeitig genial und ein bisschen problematisch ist. Rüdiger Trost und Tobias Schrödel sprechen zunächst über einen ganz praktischen Digitalisierungsversuch: den Umzug einer eigenen Mail-Domain zu einem deutschen Anbieter. Eigentlich funktioniert alles – wäre da nicht Gmail, das die neuen Mails konsequent in den Spam-Ordner steckt. Dabei zeigt sich auch: KI kann beim Analysieren von Mail-Headern und Logfiles mittlerweile erstaunlich gute Unterstützung leisten. Danach geht es um das große KI-Thema der Folge: Wasserzeichen in KI-generierten Texten. Die beiden erklären, wie Anthropic über veränderte Wortwahrscheinlichkeiten ein statistisches Muster erzeugen kann und warum damit nicht unbedingt bewiesen wird, dass ein Text komplett von einer KI stammt. Auch die Grenzen solcher Verfahren kommen zur Sprache. Und was passiert, wenn künftig praktisch überall „AI generated“ draufsteht? Die beiden diskutieren Kennzeichnungspflichten, Werbeplakate, KI-generierte Werbung und die Frage, ob ein Label irgendwann so inflationär verwendet wird, dass es niemand mehr ernst nimmt. Weiter geht es mit Smart Glasses. Die Ray-Ban Meta und ähnliche Geräte können Fotos und Videos aufnehmen, ohne dass die Person neben einem unbedingt mitbekommt, dass gerade eine Kamera läuft. Ist das ein Fall für den Gesetzgeber oder kann der Markt das selbst regeln? Und warum sind Google Glasses schon vor Jahren zum gesellschaftlichen Problem geworden? Danach wird es praktisch: Apple-Kurzbefehle und Bedienungshilfen können deutlich mehr, als viele Nutzer wissen. Die beiden sprechen über Sprachbefehle, automatisierte Gesten und sogar zeitgesteuerte E-Mails – inklusive der Frage, ob eine automatisch versendete Mail irgendwann ein ziemlich gutes Tatort-Alibi abgeben könnte. Ein weiteres Highlight: Offline-KI auf dem Raspberry Pi. Ein Open-Source-Projekt kombiniert Sprach­erkennung, ein Sprachmodell und Sprachausgabe zu einem Live-Übersetzer, der ohne Cloud funktionieren soll. Natürlich inklusive der Frage, wie warm so ein Raspberry Pi dabei wird. Anschließend wird es wieder ernst: Apple warnt iPhone-Nutzer vor möglicher Pegasus-Spyware. Die beiden sprechen über staatlich eingesetzte Überwachungssoftware, Apples Sicherheitsstrategie und den Blockierungsmodus für besonders gefährdete Nutzer. Dann folgt ein besonders kurioser Security-Fall aus der Gaming-Welt: Cheat-Anbieter werden selbst zum Ziel eines möglichen Cyberangriffs. Im Raum steht der Verdacht, dass Activision einen Cheat-Anbieter angegriffen, Daten abgegriffen und Hardware-IDs von Cheatern blockiert haben könnte. Die spannende Frage: Darf man einen Regelbrecher mit einem Cyberangriff bekämpfen? Danach geht es um Paywalls, Abos und Mikrozahlungen. Warum kann man nicht einfach einen einzelnen hochwertigen Artikel für einen oder zwei Euro kaufen, anstatt gleich ein komplettes Zeitungsabo abschließen zu müssen? Und warum fühlt sich Streaming heute manchmal komplizierter an als eine Videothek vor 30 Jahren? Die Streaming-Diskussion führt direkt zur Rückkehr der Videotheken-Logik: mehrere Anbieter, unterschiedliche Lizenzen, immer mehr Abos und Inhalte, die plötzlich wieder verschwinden. Digital ist eigentlich besser – nur das Geschäftsmodell scheint zunehmend komplizierter zu werden. Zum Schluss geht es um Neuralink und die Idee, Sehen über eine direkte Verbindung zum Gehirn wiederherzustellen. Die Technologie könnte für blinde Menschen enorme Möglichkeiten eröffnen. Gleichzeitig diskutieren die beiden kritisch über Elon Musk, Neuralink und die Frage, ob solche Innovationen nicht besser in anderen Händen aufgehoben wären. Und natürlich darf die Vorstellung nicht fehlen, künftig einfach Nachtsicht als menschliche Superkraft zu besitzen. -- Links zur Folge immer auf https://podcast.ichglaubeeshackt.de/

Like a lot of parents, Eli struggled over the years to get his kids more into reading and away from screens. He wasn't necessarily on the search for a technological solution, but then an interesting device came our way: the Yoto Player, a screen-free audio player for kids. Eli's 10-year old son has been loving to read along to the Harry Potter books (and he often finds him after he falls asleep, and the player is still going). Visit our Substack for bonus content and more: https://designbetterpodcast.com/p/ben-drury The story behind Yoto is from a similar moment of parental struggle. About a decade ago, Ben Drury was shopping for a stroller in a London department store and found one with an iPad mount built in. For a newborn. He remembers the reaction being physical — this is just wrong. But if you're expecting an anti-screen crusade, that's not quite what happened . The line Ben uses is: we don't say screens are bad, we say audio is good. Listening is good for creativity and imagination — and there's research going back to the 1980s to back that up. Ben is the co-founder and CEO of Yoto, makers of a kids' audio player that works by dropping a physical card into a small speaker. Before Yoto Ben spent about a decade building a B2B digital music platform called 7digital which he took public. What he learned from that experience proved helpful as he and his co-founder started Yoto. Ben and his co-founder became parents at roughly the same time, and wanted a way for their kids to connect with music and books like they did in childhood. So they started hacking on Raspberry Pis with no hardware experience whatsoever. How hard could it be, right? The 3rd Gen Yoto Player Turns out, it's pretty hard. They took a restrained approach. Yoto is a cube, because it was the simplest shape they could think of. It uses NFC cards that have a Pokemon card feel. The 16 by 16 pixel display presents pixel art that gives Yoto a fun personality. In this conversation, we get into the design principles that came out of Montessori, their experience working with Pentagram on product design and branding, why Paul McCartney became an early angel investor, and what changes when you go from a Kickstarter that raised fifty thousand dollars to nine-figure revenue. Bio Ben Drury is the co-founder and CEO of Yoto, the screen-free audio player that lets children control their own listening by dropping a physical card into a speaker. Before Yoto, he spent roughly a decade building 7digital, a B2B digital music platform he took public. He and his co-founder started Yoto in 2017 with a Kickstarter campaign and no hardware experience between them; today the company employs about 220 people across six countries, sells in 1,900 Target stores in the US, and counts Paul McCartney among its early angel investors. He lives in London with his wife and two sons. *** Premium Episodes on Design Better This ad-supported episode is available to everyone. If you'd like to hear it ad-free, upgrade to our premium subscription, where you'll get an additional 2 ad-free episodes per month (4 total). Premium subscribers also get access to the documentary Design Disruptors and our growing library of books. New premium subscriber benefit: we've launched a private Slack workspace…join now to connect with designers, product leaders & creative practitioners in our community. And get a behind-the-scenes pass to every episode with The Roundup, where each week we bring you insights and actionable tactics from recent episodes. You'll also get access to our monthly AMAs with former guests, ad-free episodes, discounts and early access to workshops, and our monthly newsletter The Brief that compiles salient insights, quotes, readings, and creative processes uncovered in the show. And subscribers at the annual level now get access to the Design Better Toolkit, which gets you major discounts and free access to tools and courses that will help you unlock new skills, make your workflow more efficient, and take your creativity further. Upgrade to paid Learn more about your ad choices. Visit megaphone.fm/adchoices

What happens when you hear your own hit song playing in public, but never receive the royalty?In this episode of Riding Unicorns, James sits down with Ryan Edwards, Founder & CEO of Audoo, the music technology company rebuilding how public performance royalties are measured and distributed.The idea for Audoo came from Ryan's own experience as a musician. After hearing one of his songs playing in a London department store and discovering there was effectively no reliable way to track the royalty, he started investigating how the system actually worked.What he found was an industry still relying heavily on proxy data, manual surveys and people physically visiting venues with clipboards.Audoo's answer is the Audio Meter, a small connected device that identifies music being played in public venues without recording or storing conversations. The resulting data allows collecting societies to understand what was actually played and distribute royalties more accurately to artists and rights holders.Today, Audoo operates across 16 countries, with its technology deployed in environments ranging from cafés and retailers to gyms and leisure centres.Ryan shares how he built the first prototype on a Raspberry Pi at his kitchen table, validated the idea with the former Chairman of PRS for Music, and launched the first real-world deployment on the other side of the world in Australia during COVID.We also discuss the unusual group of investors Audoo has attracted along the way, including Björn Ulvaeus of ABBA, Paul McCartney, Elton John, Adam Clayton of U2 and Adele, and how those relationships have helped build credibility and open doors across the music industry.Topics Covered• Why the public performance royalty system needed rebuilding• The personal experience that led Ryan to start Audoo• Building the first Audio Meter prototype on a Raspberry Pi• Why privacy had to be designed into the technology from day one• The challenges of combining software, data and physical hardware• Landing Audoo's first major deployment in Australia during COVID• Why venues are willing to install Audio Meters• How better music recognition data changes royalty distributions• Raising capital from some of the biggest names in music• Expanding Audoo across 16 countries and into the Middle East• What Ryan has learned from eight years as a founder• Why founders need to celebrate wins and know when something can wait until MondayThis is a conversation about spotting an antiquated system, using technology to rebuild it from first principles, and creating the data infrastructure that could finally ensure artists are paid accurately when their music is played.

Walk through almost any corporate facility, QSR, or residential building, and you will find blank TV screens or locked computers requiring manual updates. In this episode of The AC Method, Aaron Clippinger sits down with Chris, CEO of Display Now, to discuss transforming any standard TV screen into a cloud-managed visual communication hub.Chris shares how Display Now grew from a homegrown Raspberry Pi experiment designed for a 59-unit condo building into a cloud SaaS platform operating across 1,200+ companies worldwide. He breaks down why cheap consumer streaming sticks are sabotaging business operations, how purpose-built Android edge players prevent expensive IT support calls, and how Generative AI allows non-technical staff to deploy great designs and local ad networks in seconds.

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In this episode, James Maude sits down with Ulrich Swart, cofounder and CEO of Subverted, a South African offensive security company built to make pentesting and ethical hacker training more accessible. Ulrich traces his path from tearing apart laptops as a curious kid to being handed a Raspberry Pi and a WiFi card outside a security firm's door and told to prove himself within a week. He shares the chaos of a bank engagement where their laptops vanished mid pentest, and the time he felt like a secret agent hacking in from a stairwell only to spot the security camera watching him the whole time. Find out what motivates Ulrich and his co-founder Jason and why giving back to the community is a key part of what they do.

Chris, Andrew, and David begin with summer heat, home cooling problems, and an IPv6 issue preventing Andrew from playing Battlefield 6. The conversation quickly heads down a Raspberry Pi rabbit hole, with projects ranging from smart-home automation and MagicMirror dashboards to local AI transcription. David then recaps RubyConf in Las Vegas before the group discusses design patterns, the changing conference landscape, and how AI is reshaping programming education, software development, and the economics of building products. Hit download now!LinksChris Oliver XAndrew Mason BlueskyDavid Hill LinkedInJudoscale- Remote Ruby listener giftBrockovich AI Data Center ReportingRaspberry PiRails World, Austin, TX, Sept 23-24, 2026SF Ruby, San Franciso, CA, Nov 10-12, 2026MagicMirror2HoneybadgerHoneybadger is an application health monitoring tool built by developers for developers.JudoscaleMake your deployments bulletproof with autoscaling that just works.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Chris Oliver X/TwitterAndrew Mason X/TwitterJason Charnes X/Twitter

TEN PENCE ARCADE PODCAST NO. 228 IS OUT! JOE & MAC RETURNS https://www.tenpencearcade.com/ DISCUSSED IN THIS EPISODE Teaching Pop-Star Seal how to do a roll-up, Little Eyes For a Little screen, Sandals full of stones, Dead, buried and covered in lard, THIS IS SHOW BUSINESS BABY! NEXT SHOW'S GAME Dangerous Seed ROM: dangseed SHOT: RAPID DIFFICULTY: NORMAL  ***ALL DEFAULT SETTINGS (these can be viewed in the service menu)*** SCORE SUBMISSION DEADLINE: SATURDAY 22ND AUGUST 2026 5PM UK TIME TWITTER (X) #10pScore SIDEKICK APP in the Ten Pence Club Section EMAIL: Biscuits@tenpencearcade.com GET YOUR ROMS! FROM WHEREVER YOU CAN FIND LEGIT ARCADE ROMS: MAME, Switch, Evercade, Raspberry Pi, Antstream ***NO CONTINUES ALLOWED*** LINKS SHAUN https://x.com/ShaunHolley https://www.youtube.com/@ShaunsArcade https://www.instagram.com/shaun_holley/ https://www.facebook.com/shaun.holley1 ALEX https://www.youtube.com/@Alsarcade https://www.facebook.com/profile.php?id=61577021939997 https://www.instagram.com/alex_arcade2084 https://x.com/AlsArcade WEBSITE / EMAIL https://www.tenpencearcade.com/ mailto:biscuits@tenpencearcade.com PODCAST PDF GUIDE https://tinyurl.com/10p-pdf-guide STREAM PODCASTS 01-199 ON SPOTIFY https://tinyurl.com/4rycy7fk  

What becomes possible when enterprise computer vision no longer depends on expensive GPU infrastructure? In this episode of Tech Talks Daily, I speak with Glenn Jocher, founder and CEO of Ultralytics, about YOLO26, CPU inference, edge AI, open vocabulary vision, deployment economics, and the practical work required to move computer vision from a promising pilot into production. Glenn's route into AI began inside the U.S. intelligence community. He worked with the National Geospatial Intelligence Agency and Defense Intelligence Agency on particle physics applications, attempting to detect and track antineutrinos. Antineutrinos are extraordinarily difficult to detect because they pass through almost everything. Glenn describes them as the perfect spy. While searching for better detection methods, he discovered that computer vision researchers were solving similar problems with images. His original attempt to transfer those techniques into particle physics did not succeed. However, the work introduced him to a field where the technology could create a visible effect on everyday life. That led him toward open source development and eventually the YOLO models for object detection, classification, segmentation, and tracking. Glenn believes computer vision research has historically placed too much attention on small gains in accuracy while overlooking deployment economics. A model can perform impressively inside a laboratory and still remain unsuitable for a factory, warehouse, store, vehicle, drone, or medical environment. Price, latency, power consumption, data privacy, and deployment speed can determine whether the technology is commercially useful. This led Glenn and Ultralytics toward smaller models capable of running close to where images and video are generated. YOLO26 continues that approach with architectural changes designed specifically for CPU inference. Glenn says the model can process camera streams in real time at 30 frames per second and run across Intel CPUs, AMD CPUs, and lower power devices such as Raspberry Pi computers. This matters because specialist GPUs can increase the equipment cost and power requirements of a computer vision project. Running inference on existing CPUs or edge hardware can make deployment economically possible across larger numbers of cameras and locations. The scale already involved is difficult to comprehend. Glenn says Ultralytics models now process approximately three billion inference jobs each day, equivalent to around 30,000 every second. These jobs include images, videos, and collections of images being analyzed to detect, segment, or track objects. He attributes the platform's maturity to thousands of mistakes and bugs corrected through a rapid feedback cycle. New models are released, users report problems and request features, and the team incorporates that information into later versions. We also discuss the respective roles of cloud and edge infrastructure. Glenn sees cloud platforms continuing to provide the computing power required for training, while computer vision inference often belongs at the edge. Local processing can reduce latency, control operating costs, and keep sensitive video or medical information closer to where it was created. The smallest YOLO model is approximately three megabytes, according to Glenn. That allows it to reach mobile phones, vehicles, drones, battery powered devices, and other environments where a large language model would be impractical. Open vocabulary vision provides another development. Traditional object detection models are trained to recognize a fixed collection of objects. If a model learns to detect dogs and the user later wants it to detect cats, retraining can cause it to forget earlier knowledge unless both categories appear in the new training data. Glenn explains how promptable models can identify common everyday objects from text or visual instructions without additional training. A user could request a person wearing a blue shirt and white shoes, for example, and the system could search an image for that description. That flexibility could benefit businesses whose requirements change regularly. It reduces the need to create and label a new data set every time the company wants the model to recognize another common object. The range of current applications is already extensive. Glenn describes YOLO being used across robotics, parking, industrial safety, PPE detection, warehouses, aviation, security, traffic management, food quality, and manufacturing. Some of his favorite examples involve environmental problems. One company uses YOLO with underwater vehicles to identify and recover plastic from the ocean. Other applications detect smoke and fire early enough to support forest fire response. For leaders considering computer vision, Glenn recommends beginning with a defined problem and measurable outcome. A manufacturing company may want to reduce defects, but it still needs labeled examples showing the model what acceptable and defective products look like. He advises testing the idea through a limited pilot, measuring the return, and expanding only when the evidence supports further investment. Computer vision has become easier to deploy, but practical problems involving data, cameras, integration, reliability, and operating conditions still separate a demonstration from a production system. Could CPU inference and open vocabulary models make computer vision practical for processes your organization previously considered too expensive? Listen to the episode and share your thoughts with me. Useful Links   Ultralytics website Ultralytics Platform      

Possible price increases for the VR Head Toaster, Google Chrome for ARM Linux desktops, a new 10-inch touchscreen for Raspberry Pi, and NVIDIA doubling the price of Jetson SoCs.Video version of the show is available to Patrons, along with the Extended Chaos podcast featuring over an extra hour of LWDW content every week.⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠TIMESTAMPS00:00 Intro07:22 AMD 4GB GPUs16:57 Steam Frame VR headset price increases 25:36 Google Chrome for ARM Linux 33:52 10" Raspberry Pi touchscreen37:48 NVIDIA Jetson price increases New 4GB GPUs from AMDhttps://videocardz.com/newz/amd-confirms-radeon-rx-9050-4gb-exists-but-it-is-oem-onlySteam Frame $$$https://www.pcgamer.com/hardware/vr-hardware/more-bad-news-for-valve-and-its-still-unreleased-steam-frame-as-qualcomm-is-set-to-raise-the-price-of-its-chips-like-everyone-else/Chrome on ARMhttps://www.omgubuntu.co.uk/2026/07/chrome-arm64-linux-availableRasPi 10” Touchscreenhttps://www.raspberrypi.com/news/a-new-10-raspberry-pi-touch-display-2-available-now-at-80/Jetson Price increasehttps://videocardz.com/newz/nvidia-raises-jetson-prices-by-up-to-101-agx-thor-now-costs-5499

video: https://youtu.be/mytY-cyk76U This week in Linux, hundreds of Linux security alerts landed but the headlines leave out the most important part. Codeberg, a major open-source code hosting platform, is drawing a new line around AI-generated code, Valve is stretching out their ARM for a new Frame of mind for running Linux, and Jellyfin is entering a major new chapter behind the scenes. All of this and more on This Week in Linux, Your Source for Linux GNews! Download as MP3 Support the Show Become a Member = tuxdigital.com/membership Store = tuxdigital.com/store Chapters: 00:00 Intro 00:30 Become a Member of the channel by July 31st 01:39 Codeberg bans mostly AI-generated projects 05:31 Valve and Collabora develop Arch Linux for ARM64 08:08 Jellyfin Leadership Departures 11:57 Linux publishes 432 kernel CVEs in 2 days 14:53 Canonical fixes 3 Snap vulnerabilities 17:26 Firefox 153 adds Containers and Vulkan Video 21:11 TWIL Speedrun or Linux Lightning Round 21:37 AMD's open-source AI and robotics announcements 22:34 Final MPEG-4 Visual patent expiration 23:31 OBS Studio 32.2 Released 24:05 Raspberry Pi launches a 10-inch Touch Display 2 25:18 Outro Links: Become a Member of the channel by July 31st https://tuxdigital.com/membership Codeberg bans mostly AI-generated projects https://blog.codeberg.org/protecting-our-floss-commons-from-llms.html https://www.omgubuntu.co.uk/2026/07/codeberg-bans-ai-generated-code https://itsfoss.com/news/codeberg-bans-ai-contributions/ OpenAI on Vibe Coding - https://x.com/karpathy/status/1886192184808149383 Valve and Collabora develop Arch Linux for ARM64 https://www.collabora.com/news-and-blog/news-and-events/building-an-arch-linux-aarch64-port-for-holo-core.html https://gitlab.steamos.cloud/holo/holo-core-aarch64-preview https://www.gamingonlinux.com/2026/07/collabora-announce-a-preview-of-holo-core-an-aarch64-port-of-arch-linux-for-steam-frame/ https://www.phoronix.com/news/Holo-Core-Experimental-ARM64 https://9to5linux.com/valve-and-collabora-announce-official-arch-linux-arm64-port-for-steam-frame Jellyfin Leadership Departures https://www.boniface.me/posts/on-my-jellyfin-resignation/ https://itsfoss.com/news/jellyfin-leadership-crisis/ https://linuxiac.com/jellyfin-loses-project-leader-and-core-team-member-in-major-shake-up/ https://jellyfin.org/posts/state-of-the-fin-2026-05-24/ Linux publishes 432 kernel CVEs in 2 days https://lore.kernel.org/linux-cve-announce/ https://seclists.org/oss-sec/2026/q3/198 https://seclists.org/oss-sec/2026/q3/210 https://www.theregister.com/security/2026/07/22/linux_kernel_team_publishes_432_cves_in_two_days/5276497 https://docs.kernel.org/process/cve.html https://utcc.utoronto.ca/~cks/space/blog/linux/KernelBugfixCVEsAStory Canonical fixes 3 Snap vulnerabilities https://ubuntu.com/security/notices/USN-8579-1 https://seclists.org/oss-sec/2026/q3/191 https://blog.qualys.com/vulnerabilities-threat-research/2026/07/21/cve-2026-8933-snap-confine-local-privilege-escalation https://cdn2.qualys.com/advisory/2026/07/21/snap-confine-set-capabilities.txt https://www.cve.org/CVERecord?id=CVE-2026-15226 Firefox 153 adds Containers and Vulkan Video https://www.firefox.com/en-US/firefox/153.0/releasenotes/ https://blog.mozilla.org/en/firefox/firefox-containers-preview/ https://developer.mozilla.org/en-US/docs/Mozilla/Firefox/Releases/153 https://brave.com/blog/containers/ TWIL Speedrun or Linux Lightning Round which do you prefer of those names? AMD's open-source AI and robotics announcements https://www.amd.com/en/corporate/events/advancing-ai.html https://www.amd.com/en/blogs/2026/rocm-ai-the-ai-native-developer-experience-for-building.html https://www.amd.com/en/products/system-on-modules/kria/ai.html https://www.amd.com/en/products/system-on-modules/kria/ai/robotics-developer-platform.html Final MPEG-4 Visual patent expiration https://www.phoronix.com/news/Last-MPEG-4-Patent-Expired https://itsfoss.com/news/mpeg-4-visual-patent-expiry/ https://meta.wikimedia.org/wiki/Have_the_patents_for_MPEG-4_Visual_expired_yet%3F OBS Studio 32.2 Released https://github.com/obsproject/obs-studio/releases/tag/32.2.0 https://9to5linux.com/obs-studio-32-2-released-with-new-filter-to-compose-sdr-into-hdr https://linuxiac.com/obs-studio-32-2-makes-adding-sources-easier/ Raspberry Pi launches a 10-inch Touch Display 2 https://www.raspberrypi.com/news/a-new-10-raspberry-pi-touch-display-2-available-now-at-80/ https://pip-assets.raspberrypi.com/categories/1083-raspberry-pi-touch-display-2 https://www.phoronix.com/news/10-inch-Raspberry-Pi-Touch-2 https://www.theregister.com/2026/07/22/raspberry-pi-goes-large-with-101-inch-touch-display-2/ https://9to5linux.com/raspberry-pi-launches-10-inch-raspberry-pi-touch-display-2-at-80 Support the show https://tuxdigital.com/membership https://store.tuxdigital.com/

In this one, we talk about the hardware we use. ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

The guys are back, this time the wheel of doom returns! We're going to have to defend takes that are not ours. Should be fun. ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

Welcome back to another episode of Linux Out Loud! In this episode, Wendy, Nate, Matt, and Bill dive into the wild world of Linux with tales of netbook resurrection, ESP32 adventures, and AUR nightmares. Nate brings his trusty netbook back from the dead, proving that even the most stubborn hardware can have a second life. Bill takes us on a journey into the ESP32 world, sharing his latest projects and the unexpected challenges that come with tinkering at the hardware level. Wendy shares her harrowing experience with the Arch User Repository, where one wrong move can turn a simple package install into a full-blown disaster. Along the way, the crew discusses Bluetooth relays saving the day, Wazuh tinkering for better security, keyboard battles, 3D printer adventures, finding browser zen, and the surprising benefits of UPS battery backups. Whether you're a seasoned Linux veteran or just starting your open-source journey, there's something here for everyone. Don't forget to subscribe for more Linux fun! Show Links: Veronica Explains Video: https://youtu.be/E7vFdy4BEAY Trinity Desktop: https://www.trinitydesktop.org Marklite.app: https://marklite.app SSHFS: https://github.com/libfuse/sshfs Wazuh (SIEM/XDR): https://wazuh.com MeshCentral: https://github.com/Ylianst/MeshCentral ESP32 Documentation: https://www.espressif.com/en/products/socs/esp32/overview X104 Full-Size Keyboard: https://rkgamingstore.com/products/x104-full-size-keyboard APC UPS 1500VA/900W (BR1500MS2): https://www.amazon.com/dp/B07TBXFHTH Vivaldi Browser: https://vivaldi.com Zen Browser: https://zen-browser.app Linux Out Loud 122: https://youtu.be/wMJsrC122ww Connect with the Hosts on Discord: Matt – @Dark1ltg Wendy – @Wendy.sh Nate – CubicleNate.com @CubicleNate Bill – @ctlinux on Mastodon Special Guest: Bill.

Building a Raspberry Pi powered Stream Deck, Redhat offers forever support, playing Silent Hill natively on Linux, and Cinnamon learned how-to Wayland?Video version of the show is available to Patrons, along with the Extended Chaos podcast featuring over an extra hour of LWDW content every week.⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠TIMESTAMPS00:00 Intro09:55 DIY Stream Decks20:38 Rent a Redhat26:43 Silent Hill running on Linux 33:57 Cinnamon learns to Wayland TOPICSPro Not Stream Deck https://interfacinglinux.com/2026/07/13/diy-raspberry-pi-powered-stream-deck-server/RHEL For Life (RTheren)https://www.heise.de/en/news/If-14-years-of-support-aren-t-enough-RHEL-for-eternity-11360882.htmlFog Simulator 1999https://interfacinglinux.com/community/linuxgaming/building-the-silent-hill-pc-port-on-linux/Cinnamon Waylandhttps://9to5linux.com/linux-mints-cinnamon-6-8-desktop-environment-will-fully-support-wayland

The guys are back, this time we talk about our worst and best tech purchases ever! ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

Hey friends! Still your grieving pal over here, but also your swarming friend and Protecting My Network Edge host — because this week I've been tinkering with something called Project Swarm and I've got my diapers on regarding it, but I really, really like what I see so far. Then, fair warning, I flip on the tangent light and verbally barf up some personal stuff at the end. I'll make the hand-off super clear, so if you want your free security podcast to do exactly what you want and nothing else — totally fair, and you won't offend me by hopping off. Here's what we cover: What is Project Swarm? This comes to us from our friends over at GreyNoise. It centers around little sensors you deploy to the edges of your network that you can dress up to look like just about anything — attracting flies to the honey, if you catch my drift. You get more enumeration, insight, and logging into whatever shenanigans those flies are using to poke at your edge. Setup was refreshingly easy: You need a very low-powered VM or hardware device (my understanding is it even works on a Raspberry Pi) mapped to a public IP, plus a free GreyNoise account. You generate an API key, copy-paste a one-line install, and off it goes. I threw mine on a tiny Ubuntu VM. The part where I didn't read the flipping manual: Mid-install my SSH connection dropped and I'm going "what the heck?!" Turns out the installer intentionally moves your real SSH to some arbitrary high port — so you can run a fake SSH honeypot on 22 while your legit connection lives elsewhere. Once I spotted the new port in the console, a quick firewall tweak and I was back in. Profiles give me level 14 giggidies: Once your sensor checks in, you assign it a profile. Vulnerable WordPress, Tomcat, a Cisco AnyConnect VPN, FTP honeypot, SSH honeypot — kind of all the honeypots. I went with a vulnerable WordPress instance. My one complaint: you can only assign one profile per sensor. My dream scenario of an SSH honeypot AND an FTP AND a vulnerable Tomcat all on one box will have to wait (or maybe that'd look too suspicious and scare the baddies off — who knows). The results were wild: Within a couple days I had thousands of connections, several flagged as malicious and tied to known botnets. I could see source IPs, malicious labels, whether they were residential or company or Google, and even download raw packet captures. There's clearly more telemetry to dig into (what people tried to spray into the login portal, etc.) — I meant to go deeper before recording and didn't, so consider this a "to be continued." Why do I care, since I'm not defending some huge infrastructure? Honestly it started as a brain break. But I've been testing a ton of external networks lately and nearly every company site is WordPress — which now powers around 43% of the internet. Running my own WordPress honeypot gives real oomph to those "your out-of-date WordPress is a big deal" conversations, where I can say "I run a WordPress honeypot and here's the aggressive password spraying and plugin/theme enumeration I'm seeing right now." See it, don't just hear it: I show the actual portal, sensor config pages, and more over on 7MinSec.club this week. Why not both, right? It's like that meme. GreyNoise also has a Project Swarm user webinar coming up — check their events page. And to be crystal clear: they are not a sponsor, this is all free, and I just think it's clever. Life update (the tangent portion): About the time you hear this, I'll be on my way to my dad's funeral, where I'm sharing some words and singing a song. I've been practicing like a madman per advice from my music director friend and guitar teacher — including a little brain hack of focusing hard on my fingers to stay a half-step removed from the emotion. And if I cry my face off up there? Who cares. This isn't America's Got Talent; it's the gesture. I'll be honest, 2026 has been a rough one, but I promised two bright spots and here they are: my son Cam (about to finish paramedic school) has been keeping grandpa's spirit alive by wearing my dad's shirts, sunglasses, and Apple watch, and getting a Cessna tattoo with my dad's actual handwriting and birth year. And you all — the kind words, the offers to talk, the shared stories — reminded me there are a whole lot of good people out there. Thank you for that. One more thing on the horizon: My brain's been a squirrel on pixie sticks, but for whatever reason I've been happily grinding the CARTP as a little vacation for my mind. I might take a swing at the exam this week — start it in the evening, grind a few hours, sleep, finish in the morning (I'm too old for 24 hours straight). I might pass, I might fail spectacularly. Either way I'll keep you posted, and if I get the cert, that's probably next week's topic!

This show has been flagged as Clean by the host. 01 Introduction In this episode I will describe how to calculate elapsed time in bash or other shell scripts. While this may sound like a very simple and basic thing to do, there is a slightly more complex aspect to it if you wish to calculate elapsed time to a higher resolution than one second. 02 There are many reasons for calculating elapsed time in a shell script. For example you may wish to simply report how long an operation took to run. Another reason may be that you are trying to speed up a script and need to calculate benchmark data to see how different alternative methods perform. 03 What may seem like a simple task gets a bit more complicated if you want to do it for multiple different operating systems even if they are all unix related, as we shall see. -------------------- 04 Operating Systems Tested For the purposes of this episode, I ran tests on the current version of the following operating systems. Alma Alpine Debian FreeBSD OpenBSD RaspberryPi OpenSuse Ubuntu 2604 Alma is a close copy of Red Hat that we can take as representing Red Hat style distros. -------------------- 05 Simple Low Resolution Timing I will start with the simple and obvious method before describing the less obvious ones. This uses the date command to get the current time in seconds since the unix epoch. This is simply date '+%s' 06 Save this to a variable using whatever method you prefer. For example. starttime=$(date '+%s') 07 Next, do whatever operations it is you wish to time. Use the date command to get the current time again. endtime=$(date '+%s') 08 Now simply subtract the start time from the end time using shell arithmetic. This should be very obvious and basic. -------------------- 09 Higher Resolution Timing However, suppose we wish to measure time to greater than one second of precision. We need to do two things. The first is to obtain the current time at a higher degree of precision. The second is to conduct the calculations to a higher degree of precision. 10 Unfortunately, the standard time precision for POSIX shells seems to be 1 second. Some shells offer a higher precision, but others do not. Furthermore, standard shell arithmatic uses integer, which limits calculations to 1 second of precision. -------------------- 11 Bash High Resolution Shell Variable Fortunately, bash is one that does offer a high precision date. If you are using bash 5.0 or newer, there is a shell variable called EPOCHREALTIME which offers time since the the unix epoch (that is, since the first of January 1970, at 00:00:00 UTC) in seconds to 6 decimals of precision. 12 Example echo $EPOCHREALTIME 1779634800.184926 13 This is related to the similar bash variable known as EPOCHSECONDS which gives the number of seconds since the unix epoch. 14 Example echo $EPOCHSECONDS 1779634800 15 So if you are using bash, measuring time is very simple. -------------------- 16 But is it Really Bash? Is your script however actually using bash? Debian and derivatives actually have two shells. The first, the interactive shell is bash. The second, the non-interactive shell is dash, which stands for "debian almquist shell". 17 If you open a terminal, you get bash. If your script starts with a "bin/bash" shebang line, you get bash. However, if your script starts with a "bin/sh" shebang line, you get dash. Some people find themselves getting caught out by this one when they try something out in a terminal but find that it doesn't work in their script which started with "bin/sh". 18 Many other, but not all, Linux distros use bash for both the interactive and non-interactive shells, so "bin/sh" and "bin/bash" work the same with those ones. So if you intend to use bash, make sure your script calls for bash in the first line. -------------------- 19 The SHELL Variable So how can a script tell what shell it is running under? There is a shell variable called "SHELL" which will tell you the name of the shell. Well, sort of. 20 On Debian and derivatives "SHELL" will say "bash" regardless of whether the actual shell is bash or dash. On some other operating systems "SHELL" will simply say "sh" even if it is something else entirely. So we need to do some additional levels of checking to see what we have. 21 To start with though, here's what each of the test distros reports for SHELL. Alma : bash Alpine : sh Debian : bash FreeBSD : sh OpenBSD : ksh Raspberry-Pi : bash Suse : bash ubuntu2604 : bash -------------------- 22 Bash Versus Dash First, let's try to see which ones are bash and which ones are dash. The first thing we can check is for the shell variable BASH_VERSION. 23 Example echo $BASH_VERSION If the shell is bash, then it will report a version string. If the shell is not bash, then it will return an empty value. 24 Using this test, we can see that Alma and Opensuse are indeed using bash. We however need to check Debian, Raspberry Pi, and Ubuntu when running in an "sh" script. To check this we can use the "which" command to see what "sh" actually is. 25 Example echo $( ls -l $(which sh ) | rev | cut -d" " -f1 | cut -d/ -f1 | rev ) 26 "which sh" shows us the path to "sh" However, that is a link so we need to use "ls -l" to find the actual executable. "rev" reverses the string. 27 "cut" takes the first element separated by spaces. The second "cut" takes the first element separated by the "/" characters. The final "rev" takes that string and reverses it again to get it in the correct order. 28 In the case of Debian, Raspberry Pi, and Ubuntu it tells us that this is "dash". -------------------- 29 Openbsd Openbsd reports its shell as "ksh", which stands for Korn Shell. It is indeed Korn Shell, so we simply leave that one as is. -------------------- 30 Alpine and Freebsd Next we have Alpine Linux and Freebsd, which both report as "sh". In the case Freebsd there doesn't appear to be any further we can go that I am aware of. It's simple "sh". It is a basic POSIX shell which seems to be similar to the original unix shell, the Bourne Shell. Older versions of Freebsd used a different shell known as tsch (the C shell), but I haven't tested that so I will ignore that here. 31 With Alpine Linux however, we can get the actual shell using the same method that we used for Debian Linux. This reports as being "busybox". 32 Busybox is a limited shell intended for use in embedded systems. Alpine was originally an embedded distro, but some people started using it for containers. Alpine is Linux, but it is not GNU/Linux, and there are a number of areas which can trip you up if you are not aware of them. So, be extra careful if you are using it for anything, and test everything. -------------------- 33 Summary of Actual Shells Here is our revised list with the actual shell used when asking for "sh", so far as we can determine. Alma : bash Alpine : busybox Debian : dash FreeBSD : sh OpenBSD : ksh Raspberry-Pi : dash Suse : bash ubuntu2604 : dash 34 There are other shells, but none of them are the default shell for any of the distros on our list, so I haven't tested them. -------------------- 35 Solutions for Measuring Time Now we need to find solutions for bash, dash, ksh, sh, and busybox. -------------------- 36 Bash For bash, we can simply use EPOCHREALTIME, as mentioned above. -------------------- 37 Dash For dash, we can use the date command. This is a very conventional method, and is probably the first answer that anyone would give for this situation. However, while it will work in most cases, it will not work in all cases, so it is not a universal solution. 38 To use date we simply call it with the correct format string. This uses %s to get seconds since the epoch, and %N to get nanoseconds of the current second. If you put a decimal separator between the two it will appear in the output. You can use the correct decimal separator for your locale, but I won't go into that here. Instead I will just assume a period or dot. 39 Example date '+%s.%N' 1779634800.358916385 -------------------- 40 Problems with Date on Alpine and Openbsd Date will work for bash, dash, and sh on Freebsd. However it will not work for ksh on Openbsd, or for busybox on Alpine. 41 With busybox on Alpine, it simply ignores the %N format specifier and prints out the epoch in seconds only followed by the decimal separator. = Example date '+%s.%N' 1779634800. 42 With ksh on Openbsd it prints the epoch in seconds followed by the decimal separator and then the %N as a literal N. date '+%s.%N' 1779634800.N 43 Fortunately we have alternatives for these two cases. -------------------- 44 Openbsd Openbsd has the "ts" or timestamp utility installed by default. ts prints a time stamp in front of every line it receives from standard input. I won't go into details on all aspects of ts here, I'll leave that to someone else. Instead I will focus on how to use it for our specific purposes here. 45 We need to provide a format specifier to ts, which in this case is "%.s" We also need to provide something for standard input, or otherwise ts will simply sit there and wait for input. So what we need to do is to echo nothing through a pipe to ts while also giving ts the proper format specifier. 46 Example echo | ts "%.s" 47 This will output the epoch time in seconds to six decimals of precision. ts is installed in Openbsd and Freebsd by default and can be used in either. It can also be installed in many other distros. -------------------- 48 Busybox on Alpine None of the methods discussed so far will work for busybox on Alpine though. However there is a way, but it's a bit non obvious and somewhat hacky. 49 Busybox includes a command called "adjtimex". This is normally used to adjust the time hardware. However if it is run without arguments, it will report the current settings. 50 These include the current epoch time in seconds , and in another field the time in microseconds. These are reported as key value pairs. So what we need to do is to do the following 51 Run adjtimex Capture the output. Grep for "time.tv_sec" Grep for "time.tv_usec" Use cut to extract the time value in each case. Use tr to get rid of excess spaces in each case. Combine the two in a string with a decimal separator between them. 52 This takes a total of 4 lines of shell script. I will just describe them breifly here, see the show notes for details. 53 First we want to capture the output of adjtimex in a single operation. Run adjtimex and pipe the output through grep to capture lines containing "time.tv_" and save this to a variable. # Extract the current high resolution time from adjtimex. # We want two key value pairs, identified by time.tv_sec and time.tv_usec. tvals=$( adjtimex | grep "time.tv_" ) 54 Next echo the contents of this variable and pipe it through grep, cut, and tr to get first the seconds and then the microseconds while also removing excess spaces. Save these to two separate variables. "time.tv_sec" is the time in seconds since the epoch. "time.tv_usec" is the number of microseconds in the current second. # Get the time since the unix epoch in seconds and micro-seconds. timesec=$( echo "$tvals" | grep "time.tv_sec" | cut -d: -f2 | tr -d " " ) timeusec=$( echo "$tvals" | grep "time.tv_usec" | cut -d: -f2 | tr -d " " ) 55 Adjtimex does not zero pad the microsecond time value to provide leading zeros, so we need to take care of this using printf before we can append it to the seconds value. We didn't need to do this with date where the %N format character does this automatically. In this instance, the printf format string is '%06d' padusec=$( printf '%06d' $timeusec ) Now, combine these into a single number with a decimal separator by using simple string concatenation. # Combine them into a single number. timehires="$timesec"".""$padusec" -------------------- 56 Summary of Methods Let's summarize where we are so far in terms of methods we can use to get the current time as a high resolution number. Alma : use EPOCHREALTIME or date Debian (bash) : use EPOCHREALTIME or date Raspberry-Pi (bash) : use EPOCHREALTIME or date ubuntu2604 (bash) : use EPOCHREALTIME or date Suse : use EPOCHREALTIME or date Debian (dash) : use date Raspberry-Pi (dash) : use date ubuntu2604 (dash) : use date Alpine : use adjtimex and parse the output FreeBSD : use date or ts OpenBSD : use ts -------------------- 57 Other alternatives There are a few alternatives that we haven't discussed yet. 58 Bash with Dash In the case of Debian, Raspberry Pi, and Ubuntu running dash, since bash is available it is possible to write a separate bash script which simply echos EPOCHREALTIME and then call it from the dash script and capture the output. While this would work, there's probably not a lot of point to it. If you can rely on bash being there, then just change the first line of the script and make it a bash script. 59 Adding Packages to Alpine The ts or timestamp utility is a common unix utility that can be installed if it is not present by default. This does produce high resolution timestamps on Alpine. On Alpine Linux this comes as part of the "moreutils" package. To add the package, use the following sudo apk add moreutils echo | ts "%.s" 1779634800.959948 60 You can also add the GNU coreutils, which will provide a high resolution date command which works like in the other examples. To add the package use the following sudo apk add coreutils date '+%s.%N' 1779634800.212897332 61 If you can install more packages into your Alpine system, either of the above two is probably going to be preferable to parsing the output of adjtimex. 62 Custom Timestamp Programs You can also write a very short program in python, perl, tcl, or some other language and have it output the current epoch time. I won't discuss that here though. -------------------- 63 Calculating Time Differences Shell arithmetic is integer only. If we wish to use high resolution timing data, we need to do something so we don't lose the precision we have worked so hard to get. There are several possible solutions. 64 Change the Time Base One method is to change the time base from seconds to milli, micro, or nanoseconds. This can be done by simply multiplying the time values by the appropriate amount (e.g. 1000, 1,000,000, etc.) before subtracting them. This allows for integer arithmetic on high resolution values without losing precision. 65 Use the Shell bc Arbitrary Precision Calculator The bc command line calculator will perform calculations using real numbers and is easy to use in scripts. It is present by default in most distros. echo "scale=9; $endtime - $starttime" | bc where endtime and starttime are variables containing time values. 66 However, for some inexplicable reason, neither Debian nor Opensuse install it by default. It is present in Ubuntu and Raspberry Pi which are Debian derivatives, and it can be added to distros which lack it. 67 Use awk awk can also perform calculations using real numbers and it is present in nearly all distros including in all of the ones we tested here. echo "$endtime $starttime" | awk '{printf "%.6fn", $1 - $2}' -------------------- 68 Benchmarks And of course no comparative evaluation would be complete without benchmarks where we see how each method compares to another in terms of speed. In the benchmark test I ran each method in a loop through multiple iterations, measured the elapsed time, subtracted out the time for an empty loop, and then compared it to alternate methods. For anything other than EPOCHREALTIME, the empty loop time is negligible and has no real effect on the results. 69 Rather interestingly I came across a bug which caused date to run very slowly if called immediately after using EPOCHREALTIME in bash. The effect of the bug was to make the date benchmark test roughly 24 times slower. This has been fixed in newer releases, but if you are using an older distro release then beware of this bug. I was able to get around it either putting a sleep delay between benchmarking EPOCHREALTIME and benchmarking date, or by simply testing date before testing EPOCHREALTIME. 70 To be able to conduct additional tests I installed ts in Ubuntu and Alpine, and the GNU version of date in Alpine. 71 EPOCHREALTIME Versus date in Ubuntu 2604 bash The EPOCHREALTIME method is 3103 times faster than date. However, when the same test is run on Ubuntu 2404 when the date test is run before the EPOCHREALTIME test, EPOCHREALTIME is 1240 faster than date. Other Linux distros show performance to Ubuntu 2404. It appears that a side effect of fixing whatever the bug is has the effect of slowing down date. However, this is probably not a significant issue in normal circumstances. 72 date versus ts in Ubuntu 2604 bash The date method is 3.7 times faster than ts 73 date versus ts in Ubuntu 2604 dash The date method is 4.9 times faster than ts 74 date versus ts in Freebsd sh The date method is 2.5 times faster than ts 75 date versus adjtimex in Alpine Busybox The date method is 6.0 times faster than adjtimex 76 date versus ts in Alpine Busybox The date method is 20.0 times faster than ts 77 bc versus awk in Ubuntu 2604 I compared calculating the difference between two numbers when using bc versus awk. The difference is negligible, with bc being only 7% faster than awk. 78 Conclusion for Benchmarks Based on these results, if you need to measure elapsed time to high resolution and care about runing the command with as little overhead as possible, then the order of preference should be the following. 79 If you are using a newer version of bash, then use EPOCHREALTIME. If that is not available, then use date, provided it allows for high resolution times. If the above two cannot be used, then use ts. If you are using Busybox and cannot install either GNU date or ts, then use adjtimex. Date is the closest in terms of being the universal portable solution, but it does not work in all cases. 80 I have not compared different platforms to each other in terms of performance, as that would be a much more involved problem that is outside the scope of this episode. However, different operating systems implement different commands in different ways. 81 For example, on Openbsd and Freebsd, ts appears to be an ELF binary. That is, it is executable machine code, possibly written in C. On Ubuntu however, ts appears to be a perl script. As a result of this, the advantage that date has over ts is much less in Freebsd than it is with Ubuntu (and likely other Linux distros) as on Freebsd it doesn't need to load a perl interpreter to run ts. -------------------- 82 Overall Conclusion You no doubt thought that measuring elapsed time was going to be so simple, and how could someone get an entire podcast out of such a simple subject? And yet here we are half an hour later with just a basic overview of the subject. 83 I hope you found this interesting and informative. Please let us know in the comments if you think that I have done anything incorrectly, or if you have another way of doing things. I hope to see you all again in another future episode of HPR. -------------------- Provide feedback on this episode.

Assembler une base SQL, une base time series et une base vecteurs pour bâtir un jumeau numérique ? François Fouquet appelle ça un « Frankenstein » — et il a passé dix ans à s'en débarrasser.Dans cet épisode du Big Data Hebdo, le cofondateur de DataThings (Luxembourg) présente à Vincent Heuschling GreyCat : une seule technologie qui fusionne graphe, séries temporelles et vecteurs, avec son propre langage et un déploiement tenant dans un unique binaire — jusqu'au Raspberry Pi.Au fil de la discussion, trois cas d'usage spectaculaires : la grille électrique luxembourgeoise et ses 300 milliards de data points, les réseaux d'eau des Ardennes, et un jumeau de workflow juridique pour la Cour de justice européenne. Le tout à l'ère des LLM, avec du what if qui fork le graphe pour simuler des scénarios, des skills Claude exposés en MCP, et même du vibe coding pour anticiper les effets géopolitiques sur les marchés.Une conviction forte en fil rouge : garder ce qu'on sait déjà modéliser, et réserver l'IA à ce qu'elle fait de mieux — combler l'inconnu.Chapitres 00:00:00 Introduction et présentation de François Fouquet (DataThings) 00:03:30 Pourquoi le graphe ? En finir avec les systèmes « Frankenstein »00:08:30 Le « What If » : forker le graphe pour simuler des scénarios00:13:00 GreyCat : pourquoi un langage dédié plutôt qu'une librairie Python00:21:00 Un monolithe simple à déployer, jusqu'au Raspberry Pi00:23:30 Copper : le jumeau numérique de la grille électrique luxembourgeoise00:30:30 Architecture share-nothing et frugalité mémoire00:35:00 Les réseaux d'eau des Ardennes : GreyCat comme SDK de digital twins00:37:30 La Cour de justice européenne : knowledge graph, RAG et MCP00:43:30 Vibe coding : anticiper les effets géopolitiques sur les marchés00:50:30 World Models, IA et data : la vision pour les 5 ans à venir00:55:30 GreyCat en open source et l'épisode démo à venirLe Bigdata HebdoLe Bigdata Hebdo est le podcast Francophone de la Data et de l'IA. Retrouvez plus de 200 épisodes sur  https://bigdatahebdo.com Rejoignez la communauté sur le Slack https://join.slack.com/t/bigdatahebdo/shared_invite/zt-a931fdhj-8ICbl9dbsZZbTcze61rr~Q

This week Shawn Tierney meets up with Adam Cumick of Synergy Logix to discuss their Modbus TCP SLM-MX I/O as well as their soon to be released Raspberry Pi Based, OpenPLC Compatible SLM-RP4 controller in this episode of #TheAutomationPodcast. Show Notes: Special thanks to Adam for coming on the show, and to Synergy Logic for sponsoring this episode. To learn more, please visit the below link: Synergy-logic.com Until next time, Peace ✌️ Shawn M Tierney Technology Enthusiast, Content Creator, and Automation Instructor

Eric and Matt discuss the Explore community momentum this year with a better community booth, improved screens and keyboard for the code labs and giving away sensor while learning how to deploy workload to the edge using VKS.

In this Perspectives episode from InfoComm 2026, we sit down with Aaron Todd of OpenAVC for a conversation that goes well beyond a simple product demo. OpenAVC is an open, platform-agnostic AV control platform aimed at breaking the industry's long-standing dependence on locked-down hardware ecosystems and expensive proprietary boxes just to run simple room controls. Aaron walks through the philosophy behind the project, how it can run on everything from Windows and Linux to Raspberry Pi and even Android tablets, and why AV control should increasingly be treated as a software problem rather than a hardware purchase. We also get into GitHub, community contributions, driver support, AI-assisted development, and why open tools like this could be especially meaningful for higher ed teams trying to stretch budgets, extend the life of existing systems, and build the workflows they actually need. This one leans into the bigger story: open control, cost savings, higher-ed relevance, and the "why are we still doing it this way?" disruption angle. https://www.linkedin.com/company/openavc

The guys are back, this time we do some news from the world of FOSS ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

In this episode, Hackaday editors Elliot Williams and Tom Nardi start off by taking a trip down the Raspberry Pi memory lane and then tackle a fresh pile of listener mail. The discussion moves on to hacking bike counter, homebrew upgrades to the Nintendo Entertainment System, and building RAM from whats in the parts bin. You'll hear about the latest drop-in upgrade for a classic Casio watch, hosting light bulbs that host subversive literature, and loading Wii U games from a weird disk drive from the 1980s. They'll wrap things up with a dive into the evolving portrayals of brilliant rebels in media, and all the things you can do with a cheap router. Check out the links over on Hackaday if you want to follow along, and as always, tell us what you think about this episode in the comments!

Topics covered in this episode: Backup Docker volumes locally or to any S3 Pyodide 314.0 Release nb-cli: A Command-Line Interface for AI Agents and Notebook Automation Hindsight Agent Memory That Learns Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python AWS Community Day Midwest tomorrow Wednesday the 24th in downtown Indianapolis, Six Feet Up is sponsoring and there are 2 Sixies presenting Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an bonus digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Backup Docker volumes locally or to any S3 Via Bryan Weber (thanks Bryan!), who spotted it over on Virtualization HowTo. Find Bryan at bryanwweber.com. offen/docker-volume-backup is a lightweight companion container that backs up the volumes your apps actually depend on, then ships them somewhere safe. It's tiny: written in Go and about 25MB compressed, roughly 1/20th the size of the shell-based image (jareware/docker-volume-backup) that inspired it. Drop it into your docker compose file as a backup service, mount the volumes you care about as read-only, and you're off. Push backups to a pile of destinations: a local directory, plus any S3, WebDAV, Azure Blob Storage, Dropbox, Google Drive, or SSH-compatible target. Mix and match as many as you want in one run. Recurring cron-style backups in a Compose setup, or one-off backups straight from the Docker CLI. Production-friendly touches worth calling out: Rotates away old backups so you don't quietly fill the disk. GPG encryption for your archives. Notifications on finished and failed runs (so you find out about failures before you need the backup). Stop a container during backup for a consistent snapshot using a simple docker-volume-backup.stop-during-backup=true label, then auto-restart it. Run custom commands during the backup lifecycle (great for a database dump before the file copy). Docker Swarm support, plus arm64 and arm/v7 builds. Hello, Raspberry Pi homelab. Fun aside from Bryan: he searched our back catalog for this tool and the search came back so fast he thought it hadn't run. Love to hear it. Calvin #2: Pyodide 314.0 Release PEP 783 is the real news — Pyodide maintainers used to hand-build 300+ packages. Now anyone can publish Pyodide wheels to PyPI with cibuildwheel. The version jump from 0.29 to 314.0 is intentional — it now tracks the Python version, so 314.x = Python 3.14. Binary compatibility is locked per Python cycle, meaning packages you build today won't break on the next Pyodide release. sqlite3, ssl, and lzma are back in the default stdlib — no more await pyodide.loadPackage("sqlite3"). Bigger download, but a much smoother experience for newcomers. bigint precision bug is fixed — values above 2^53 were silently losing precision when crossing the Python/JS boundary. The new JsBigInt type makes the roundtrip correct. Worth flagging if anyone is doing numeric work in a browser app. Experimental TCP sockets in Node.js — you can now connect Pyodide to a real database (MySQL, PostgreSQL, Redis tested) when running server-side. Blurs the line between "Python in the browser" and "Python runtime anywhere Wasm runs." Michael #3: nb-cli: A Command-Line Interface for AI Agents and Notebook Automation From Piyush Jain (Jupyter and LangChain maintainer) on the Jupyter blog: nb-cli: A Command-Line Interface for AI Agents and Notebook Automation. nb-cli is an experimental, Rust-based CLI to read, write, execute, and search Jupyter notebooks. The premise: agents are great at CLIs but terrible at hand-editing the nested JSON in an .ipynb, so let them operate on the notebook from the outside instead of running inside it. Works with or without a Jupyter server. No server? It reads/writes .ipynb files directly and talks to kernels over ZeroMQ. Connected to a live JupyterLab, your edits show up instantly via Y.js (the same CRDT Jupyter uses). Smart output format: instead of token-heavy JSON or ambiguous plain markdown, it uses @@cell / @@output sentinels with inline metadata. Less wasted context, unambiguous structure, and it degrades gracefully on truncation. The payoff is composability. "Add a summary section and run it" becomes one shell pipeline instead of six agent tool calls. And nb search notebook.ipynb --with-errors returns only the failing cells, so the agent skips the cells that worked. Claude Code tie-in: it ships as an agent skill. npx skills install jupyter-ai-contrib/nb-cli and your agent can drive notebooks via nb. Out of jupyter-ai-contrib, which aims to become an official Jupyter AI subproject. Still early (crates.io is at v0.0.5), so kick the tires before anything load-bearing. See also marimo-pair. Calvin #4: Hindsight Agent Memory That Learns AI agents forget everything between sessions — Hindsight gives them persistent memory that learns over time Simple three-method API: retain(), recall(), reflect() — store, retrieve, and reason over memories TEMPR retrieval runs semantic, keyword, graph, and temporal search in parallel for accurate results Automatically consolidates related facts into durable observations instead of piling up duplicates pip install hindsight-all runs the entire server in-process; integrates with LangChain, LlamaIndex, Pydantic AI, CrewAI, and more Extras Calvin: Clanker: A Word For The Machine **Ponytail — You know him. Long ponytail. Oval glasses. Has been at the company longer than the version control** **Klangk: Multi-User AI Sandboxing, Collaboration and Coding Platform** Cursor announces Origin performative-ui to quick start your new idea Michael: Astral Joins OpenAI: The Interview SpaceX to acquire Cursor And OpenAI renews Open Source support Portuguese subtitles are now available for Talk Python courses DSF is hiring including Six Feet Up support Joke: Oh Babe…

We're back! Tonight we're doing something special! We finally discuss the results of our challenge from the WHEEL of DOOM! ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

Discover 44Net Connect — the simplest and fastest way to get a public 44Net IP address and join the worldwide amateur radio digital network (AMPRNet) using modern WireGuard tunnels.In this video, we break down everything you need to know about 44Net Connect: What is 44Net (Network 44 / AMPRNet) and why it matters for hams How 44Net Connect works with secure WireGuard tunnels over the internet Step-by-step setup: Create your account, generate config, connect devices (Raspberry Pi, laptops, routers, cloud servers) Get your own public 44Net IP — perfect for remote stations, self-hosted services, experiments, and more Differences between 44Net Connect, IPIP Mesh, and BGP routing Real-world use cases for ham radio operatorsWhether you're new to AMPRNet or looking for an easier way to participate without complex BGP setups, 44Net Connect makes it "Click, Click, Connected."Perfect for licensed amateur radio operators interested in digital modes, packet radio, mesh networking, remote access, and experimental IP networking over ham radio.Become a supporter of this podcast: https://www.spreaker.com/podcast/ham-radio-2-0--2042782/support.

2,5% Zinsen p.a. auf ein unbegrenztes Guthaben mit bis zu fünfmal der gesetzlichen Einlagensicherung*. Auch für Kinder. Das gibt's bei Scalable Capital. Mehr Infos hier. Mega-Rotation am Freitag: NASDAQ verliert 4%, Berkshire, Walmart & Co. legen zu. Bitcoin unter 60.000 $. SpaceX vermietet Rechenleistung an Google für 11 Mrd. $ pro Jahr. S&P passt Regeln nicht an. Marvell und Flex im S&P 500. Raspberry Pi explodiert 30% dank KI. Die New York Knicks stehen im NBA-Finale und kassieren pro Heimspiel 20 Mio. $. MSG Sports (WKN: A140F0) könnte profitieren. Über 40% Holding-Abschlag, Rekordumsatz über 1 Mrd. $ in Sicht. Dazu verhandelt die NHL einen neuen TV-Deal. Berkshire kauft sich bei Macy's (WKN: A0MS7Y) ein. Bloomingdale wächst 10% dank Saks-Pleite. Stärkstes erstes Quartal seit vier Jahren. KGV unter 10. Dazu Immobilien im Wert von bis zu 10,5 Mrd. $. Diesen Podcast vom 08.06.2026, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung. *Veränderlicher Zins auf unbegrenztes Guthaben. Konditionen sowie Guthabenverteilung auf scalable.capital/tagesgeld. Learn more about your ad choices. Visit megaphone.fm/adchoices

We're back! Tonight we're doing something special! We're going to start a challenge where everything is random and painful! ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

Foundations of Amateur Radio The thing I think I love most about the hobby of amateur radio is the challenges it represents, not in terms of life or emotional ones, though I will admit that there's some of those .. in no small part due to the variety and complexity associated with being human and a member of the community, more in terms of figuring out how stuff works and then how much stuff there is. I was first licensed in 2010 and since then I've attempted to document the experience of being an amateur and discovering just what that might mean. This week has been interesting, if not quite as productive as I was hoping for. I spent a full day working on SoapyAudio, you might recall, it's one of the potential puzzle pieces in my Bald Yak project. I can report that it compiles fine on a Raspberry Pi 2, and when I get a moment I suspect that it will also work just fine on a Pi Zero. When I got to the point of packaging it all up, I spent hours trying to get my head around the Debian packaging system. For reasons I don't understand, nobody appears to have written anything that monitors the standard 'make install' step, save for one project called 'checkinstall' which has some serious bugs, like overwriting the system password file, and is not recommended. While in the middle of that adventure I discovered that SoapySDR and associated modules, utilities and support tools are already packaged in Debian. I'll confess that I emulated a stunned mullet when I noticed that. While this might mean that I essentially spent three days shaving a Yak for apparently no good reason, it did allow me to discover that SoapyAudio is currently receive only, but adding transmit doesn't look like an unsolvable problem. I still don't know why I went down the compilation steps but it allowed me to peruse the source-code which helped discover how some of this hangs together and I'll hasten to add that my understanding is currently incomplete at best, but that's par for the course. After discovering the existing packaging I installed 'soapyremote-server' on the Pi and it worked out of the box .. something which I'm happy to say is a regular occurrence with Debian packages, perhaps this is why packaging is so complex, another thing to investigate as time permits. I then added an external USB sound card with the audio going into the rear DATA socket of my FT-857d, and together with the CT-62 compatible USB CAT cable, that's Computer Assisted Tuning, allowing remote control of the radio, the Pi was ready to be the network interface to my copy of GNU Radio. Well, not quite. There's some secret incantations that I have still to divine, but thanks to random forum posts with hints at how to format the command string required, I'm making progress. GNU Radio can see the Soapy Server, has passed the checks to control the radio, which happens behind the scenes thanks to Hamlib, but stumbles on the audio card side of things. If it weren't for other life affirming activities in my diary, I would be reporting success, but I can tell you that I can taste it. Now, why does this make me excited? Well, it means that I can now use my FT-857d across the room, technically across the Internet even, to receive and process RF within GNU Radio. You might recall that this is one of the stated aims of this whole endeavour. In terms of "50 things to do with an SDR", this one will end up in the "Listen to conversations on the 2-meter amateur radio band" pile. While it's not particularly exciting to listen to the local repeater across the room, something which I can do by turning up the volume or getting a long headphone lead, it represents a small milestone in the pursuit of my Bald Yak project which aims to create a modular, bidirectional and distributed signal processing and control system that leverages GNU Radio. It's called Bald Yak because by the time I'm done, the Yak is likely well and truly shaved. So .. micron by micron I'm getting closer. Also, "like a stunned mullet" means to be dazed and uncomprehending, feel free to use it in public. I'm Onno VK6FLAB

Joannis Orlandos stops by to chat about WendyOS, an operating system for bringing Swift and AI to robots, drones, and edge devices. We get into running Swift on NVIDIA Jetson and Raspberry Pi hardware, the future of cross-platform Swift across Android, Windows, and Wasm, and somehow end up arguing about whether you should let LLMs format your code at all.GuestJoannis OrlandosJoannis Orlandos (@joannis@fosstodon.org) - MastodonJoannis (Joannis Orlandos)Joannis Orlandos | LinkedInJoannis Orlandos (@joanniso.bsky.social) • BlueskyWendyOS — The open-source OS for Physical AIRelated LinksWendy Labs Inc. — GitHubWendyOS DocumentationSwift on Server — Joannis OrlandosHummingbird — Lightweight Swift web frameworkMLX — Apple's array framework for machine learningSwift Android Working Group — Swift ForumsBuild and Packaging Workgroup — Swift.orgSwift EvolutionBringing Swift to Android — GoodnotesRelated EpisodesSwift Server Workgroup with Joannis OrlandosSwift on Android with Marc Prud'hommeauxSwift, Server Side, Serverless with Sébastien StormacqChapters(00:00) - What Is WendyOS (05:15) - Swift, Hardware & Getting Started (16:18) - Swift Everywhere: Multi-Platform Future (21:24) - Swift on Windows, SQL Server & WWDC Preview (30:19) - AI, Skill Files & LLM Workflows (42:30) - Swift 6.4 & Wrap-Up WatchClick here to watch a video of this episode. TranscriptClick here to view the episode transcript. Support the Show ★ Support this podcast on Patreon ★  Thanks to our supporters: Thanks to our monthly supporters Steven Lipton  Welcome new supporters: Social MediaLinkedIn - @leogdionGitHub - @brightdigitGitHub - @leogdionMastodon - @leogdion@c.imYouTube - @brightdigitX - @leogdionX - @brightdigitCreditsMusic from https://filmmusic.io "Blippy Trance" by Kevin MacLeod (https://incompetech.com) License: CC BY (http://creativecommons.org/licenses/by/4.0/)

Steam Deck price rises point toward high prices for the new Valve hardware, Lenovo puts its name to a cheap retro handheld and regrets it, Wikipedia management seems to be acting like a typical big tech company and the workers are organising, Bambu pisses off its 3D printer customers and Joe got given a free unrelated 3D printer, and we don’t believe that the Raspberry Pi 6 will arrive as late as 2028. News Steam Deck back in stock, with updated pricing The golden age of handheld gaming is already over [archived] Lenovo pulls its controversial G02 retro handheld from sale – starting a chain reaction that could decimate the retro gaming market Sellers circumvent Lenovo's retro handheld ban with cheap wholesale storefronts Big Tech's Anti-Labor Playbook Has Come for Wikipedia We’re Wiki Workers United, a global solidarity union for the staff of the Wikimedia Foundation Wikipedia editors plot strike and banner sabotage after Wikimedia layoffs Comprehensive Response to Bambu’s AGPLv3 Violations – Software Freedom Conservancy ‘Fuck you, Bambu': How one private message could change the face of 3D printing [archived] No Raspberry Pi 6 before 2028 Don't expect a Raspberry Pi 5 in 2023, says Eben Upton [21st Dec 2022] Introducing: Raspberry Pi 5! [28th Sep 2023] See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

Steam Deck price rises point toward high prices for the new Valve hardware, Lenovo puts its name to a cheap retro handheld and regrets it, Wikipedia management seems to be acting like a typical big tech company and the workers are organising, Bambu pisses off its 3D printer customers and Joe got given a free unrelated 3D printer, and we don’t believe that the Raspberry Pi 6 will arrive as late as 2028. News Steam Deck back in stock, with updated pricing The golden age of handheld gaming is already over [archived] Lenovo pulls its controversial G02 retro handheld from sale – starting a chain reaction that could decimate the retro gaming market Sellers circumvent Lenovo's retro handheld ban with cheap wholesale storefronts Big Tech's Anti-Labor Playbook Has Come for Wikipedia We’re Wiki Workers United, a global solidarity union for the staff of the Wikimedia Foundation Wikipedia editors plot strike and banner sabotage after Wikimedia layoffs Comprehensive Response to Bambu’s AGPLv3 Violations – Software Freedom Conservancy ‘Fuck you, Bambu': How one private message could change the face of 3D printing [archived] No Raspberry Pi 6 before 2028 Don't expect a Raspberry Pi 5 in 2023, says Eben Upton [21st Dec 2022] Introducing: Raspberry Pi 5! [28th Sep 2023] See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

We're back! Tonight we're just chilling, taking some questions and bullshittin'. ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

Foundations of Amateur Radio Previously I've talked about a piece of software called SoapyAudio. It's part of the toolkit called SoapySDR which in turn is part of a whole ecosystem called the Pothos framework, coordinated by Pothosware, founded by Josh Blum. I'm mentioning this for two reasons, first to give credit to Josh and the many contributions he has made to the Software Defined Radio ecosystem and second, to indicate that there's several moving parts here. SoapyAudio is a module that connects an audio device, like a microphone or a speaker, more on that in a moment, to a tool called SoapySDR. This allows you to connect to that device, either directly, or over the network, from within any Soapy compatible SDR tool, like Cubic SDR, SDRangel, Quisk and SDR++ to name a few. Said differently, you can use the SoapyAudio module to pretend that your sound card is a Software Defined Radio, and use the associated SDR tools to use it. While interesting in and of itself, the idea comes into focus if you consider that you could connect your analogue radio to the sound card and now you have actual radio frequencies coming into your card, which you can use as an SDR. This works because SoapyAudio also includes Hamlib support, which in turn means that you can send commands like: Set the Frequency, or Set the Mode, to your radio using Hamlib, better yet, if you do this within your SDR software, all this happens behind the scenes. Now, before I dig in too much more, I mentioned a microphone and speaker. When you connect your radio to a computer, the microphone or line-in socket is used to receive audio from the radio, it leaves the radio and enters the computer via the microphone and gives you the ability to receive audio, alternatively, when you connect the computer speaker to the radio, it leaves the computer and enters the radio, to transmit audio. Right now I see no evidence that SoapyAudio supports the ability to transmit, and the ecosystem overview shows the module in a different location than the other radio modules. It might well transpire that none of this is going to work long-term, but the point of this is to learn how it works and to get an understanding of how data flows back and forth. Ideally, I'd end up with a module that would integrate into GNU Radio using the existing SoapySDR integration, but I'm nowhere near that, and my ongoing computing challenges keep banging me in the face, so small steps. If you're not quite sure how this is supposed to work, your radio is connected to your computer using audio in and out, as well as a serial or USB connection. The computer is running SoapyAudio which uses Hamlib to control the radio and uses SoapySDR to send and receive both control and radio signals through a tool called soapy-server, which I think will all run on a cheap Raspberry Pi which is in turn is connected to the network to another more beefy computer running GNU Radio and the SoapySDR module, allowing you to both control the radio over the network as well as receive and transmit. Well .. at least that's the plan. In order to bring that grand idea closer to fruition, I've just spent the past two days putting together a set of instructions, in the form of a Dockerfile, to attempt to help make that happen. I'll note upfront that this is a work in progress and there were plenty of trips to the local Yak Shaving compound to sharpen my blades, but I think by now you'll understand that this is par for the course. I'm sharing all this with you because in amateur radio and in any complex endeavour, progress is made by making small incremental improvements. We're up to the 19th, or 20th, if you count the introduction of my Bald Yak series and so far I have only very little tangible assets to show you. I suspect that this is going to be the case for some time to come. Perhaps my journey should be viewed as a way to pursue the things you're interested in and document your progress along the way, rather than a journey towards a product that you can install tomorrow morning after you've had your morning coffee. If all that made your head explode, don't worry, you're in good company. I embarrassed myself in front of all the HamSci community the other day when I proposed to use a spectrogram to capture and understand Ionosonde data, rather than raw IQ. I still don't know what I was thinking. I'm Onno VK6FLAB

Three Big Conversations: The OKC Thunder have become the NBA's favorite villain - 10:00 Pope Leo publishes an AI manifesto - 20:14 The Mandalorian and Grogu had a disappointing first weekend. - 35:50 → Help us improve our podcast! Click here to fill out this three-minute survey. Song of the Week - "the cure" by Olivia Rodrigo - 3:16 → Click here to read the lyrics → Click here to listen to the song (language) In Other News: - 42:40 Small "dot cakes," baked in cups, and covered in frosting and rainbow nonpareil sprinkles, are going viral. The colorful aesthetic of these cakes is just half of the appeal, with the other part being the satisfying scrape of a spoon being dragged across the top.  A new YPulse report found that 87% of 13- to 24-year-old guys agree with the statement, "I am a gamer," suggesting that online gaming continues to be one of the fastest-growing social spaces for boys and young men. A newly published report from the American Bible Society found that 38% of parents are regularly engaged with the Bible, as opposed to 23% of nonparents. A ton of other interesting statistics are included in the latest chapter of their State of the Bible report, linked here. DIY "cyberdecks" are the latest tech trend on TikTok. Creators are using Raspberry Pi mini computers to build whimsical homemade devices inside of retro purses, Game Boys, or briefcases. Off Campus has become Gen Z's latest #BookTok-adapted TV obsession, landing as Prime Video's biggest debut ever among viewers aged 18-34. Common Sense Media flagged the series for extreme explicit sexual content.

Stewart Alsop sat down with Michael Shackelford to discuss their experiences building applications through vibe coding—the practice of using AI to create software without traditional programming expertise. Stewart, who runs the AI Whispers community in Buenos Aires and hosts the Crazy Wisdom podcast (with over 660 interviews), shared how he went from teaching people prompt engineering to building his own video conferencing software as a Riverside.fm replacement, while Michael opened up about his year-long journey creating Genrupt Inc, an AI-powered content generation tool for e-commerce sellers. The conversation covered everything from the decline in quality of Claude's reasoning capabilities and how Chinese companies used distillation attacks to copy Anthropic's models, to the importance of spaced repetition systems for managing knowledge in the age of LLMs, with both sharing battle-tested prompting strategies like asking AI to "explain it to me in genius terms" and using deep research queries to reverse engineer how competitors build their products.Show Notes:- Dan Martell's book "Buy Back Your Time" was mentioned as one of the best business books for thinking about life and business- Check out John Vervaeke's "Awakening from the Meaning Crisis" for understanding relevance realization and why AI fundamentally cannot determine what's relevant to humans without being toldTimestamps00:00 Michael discusses being exhausted from getting his app ready for launch, working nonstop with AI to prepare landing page for podcast traffic driving beta signups05:00 Stewart explains starting AI Whispers in Buenos Aires after leaving OpenAI vendor company, meeting early adopters like Torin who was building mind-reading EEG technology10:00 Discussion of how corporations resist AI adoption due to political games and job security fears while some companies use AI as excuse for pandemic-era layoffs15:00 Stewart describes teaching workshops on using LLMs as linguistic tools rather than coding tools, noting technical people often lack humanities background needed for prompting20:00 Explaining chatbot wrappers, API calls, and how Anthropic's reasoning quality declined after Chinese distillation attacks copied their secret sauce developed with philosophers25:00 Technical discussion of model training, fine-tuning versus RAG for new information, and different approaches to updating AI knowledge beyond initial training30:00 Stewart describes building podcast recording software to replace expensive Riverside, struggling with syncing audio and video files across different computer clocks35:00 Discussion of critical factors in vibe coding, discovering unknown technical requirements, and how AIs don't automatically reveal missing information40:00 Stewart's reverse engineering process using deep research function to study competitors' hiring and technology stacks, separating planning agents from coding agents45:00 Prompting techniques including "explain like I know everything" and using spaced repetition systems to capture valuable prompts and technical knowledge50:00 Michael explains his Generux app for generating ecommerce content using Amazon review data analysis to inform high-converting listing images and videos55:00 Discussion of founder mentality involving self-delusion about project timelines, Michael working nine-plus hours daily for nine months on app development60:00 Comparing Amazon's expert software to prosumer software approach, discussing distribution challenges and future robotics applications for customized products65:00 Stewart demonstrates spaced repetition app for memory improvement and knowledge retention, explaining relevance realization problem that AI agents cannot solve without embodimentKey Insights1. Stewart Alsop started AI Whisperers in Buenos Aires after leaving his role at Invisible Technologies, which was OpenAI's largest vendor for RLHF work. He noticed that machine learning engineers at tech companies lacked the humanities background needed to properly interact with large language models, which are fundamentally linguistic tools. This led him to create weekly workshops teaching non-technical people how to use AI effectively, running events every Thursday for two years straight. The group attracted intense geeks from the start and eventually led to Stewart speaking right after Vitalik Buterin at DevConnect, marking a significant milestone for the community.2. Large corporations are resistant to AI adoption due to multiple factors including political dynamics within organizations and employees fearing job loss. Many companies that grew during the pandemic are now using AI as an excuse to downsize when the real issue is inefficiency from rapid expansion. Stewart observed that even technical people in machine learning often don't understand how to properly use AI tools because they lack linguistic and humanities training. The fundamental problem is educational, requiring companies to train people how to use these new tools while those same people resist learning them.3. Vibe coding has evolved significantly with Claude Code being a game changer that reduced the technical barrier to entry. Before Claude Code, developers needed substantial technical knowledge to work through constant doom loops and debugging cycles. The success of coding AI tools stems from thirty years of testing infrastructure that provides clear yes or no feedback on whether code works. This infrastructure doesn't exist in the same way for manufacturing, science, and other fields, which is why software became the dominant area for AI assistance initially.4. Claude's quality degradation over recent months resulted from multiple factors including distillation attacks by Chinese companies who reverse engineered Anthropic's reasoning capabilities. Anthropic had hired philosophers, sociologists, and psychologists to develop exceptional reasoning in Claude 4.5, but this was expensive to run. When Chinese models like Kimi copied these capabilities at one tenth the cost, and when mainstream users flooded the platform before Anthropic's planned IPO, the company had to reduce quality to manage computational costs. This represents a significant loss for power users who relied on Claude's superior reasoning abilities.5. Stewart built a podcast recording application to replace Riverside because he needed API access to automate workflows, which Riverside wanted one thousand dollars monthly to provide. The technical challenge involves syncing audio and video from local recordings on multiple computers with different clocks through a server, then merging them so voices match lip movements. This problem requires understanding complex timing issues across different network conditions and file formats. Stewart has been working through AI psychosis for months on this FFMPEG pipeline problem, illustrating how vibe coding still requires building intuition about technical problems even without traditional coding knowledge.6. The transition from expert software to prosumer software represents a major opportunity for AI-enabled tools. Expert software like Photoshop, Blender, and terminal interfaces have extreme complexity that intimidates beginners, but AI is making these capabilities accessible through natural language. The reign of specialists is ending as generalists with broad knowledge and curiosity can now build complete applications by leveraging AI to fill technical gaps. This shift particularly benefits entrepreneurs and founders who specialize in getting into difficult situations and figuring them out, even when they originally thought tasks would be easier than they turned out to be.7. Building applications with AI requires accepting massive time investments beyond initial estimates and developing strategies for overcoming knowledge gaps. Michael estimated his ecommerce content generation app would take months but spent nearly a year working over nine hours daily, while Stewart spent months solving audio-video sync issues. Success requires using tools like deep research to understand how competitors solve problems, maintaining separate planning and coding agents, and learning to ask the right questions. The key insight is that vibe coders can achieve ninety percent of functionality independently, but the final ten percent often requires understanding specific technical concepts that AI cannot intuit without proper context and domain knowledge.

The OKC Thunder have become the NBA's favorite villain, Pope Leo publishes an AI manifesto, and The Mandalorian and Grogu had a disappointing first weekend. → Help us improve our podcast! Click here to fill out this three-minute survey. Song of the Week - "the cure" by Olivia Rodrigo → Click here to read the lyrics → Click here to listen to the song (language) In Other News: Small "dot cakes," baked in cups, and covered in frosting and rainbow nonpareil sprinkles, are going viral. The colorful aesthetic of these cakes is just half of the appeal, with the other part being the satisfying scrape of a spoon being dragged across the top.  A new YPulse report found that 87% of 13- to 24-year-old guys agree with the statement, "I am a gamer," suggesting that online gaming continues to be one of the fastest-growing social spaces for boys and young men. A newly published report from the American Bible Society found that 38% of parents are regularly engaged with the Bible, as opposed to 23% of nonparents. A ton of other interesting statistics are included in the latest chapter of their State of the Bible report, linked here. DIY "cyberdecks" are the latest tech trend on TikTok. Creators are using Raspberry Pi mini computers to build whimsical homemade devices inside of retro purses, Game Boys, or briefcases. Off Campus has become Gen Z's latest #BookTok-adapted TV obsession, landing as Prime Video's biggest debut ever among viewers aged 18-34. Common Sense Media flagged the series for extreme explicit sexual content.

This Week In Startups is made possible by:Render - render.com/twistDeel - deel.com/twistNorthwest Registered Agent - northwestregisteredagent.com/twistToday's show:The "Ryanair of drone delivery" just raised $50 million and plans to bring its technology from Europe to the United States. Manna founder Bobby Healy explains to TWiST how his Dublin-based company completed 300,000 deliveries while some rivals are still publishing blog posts, and why low-cost airline economics will decide who wins the autonomous skies.Sticking to the drone theme, TWiST welcomed Theseus co-founder Ian Laffey, who called in from Kyiv to tell us about his company's drone guidance system. It runs off a simple camera and Google Maps. The technology could rewrite the modern, GPS-jammed battlefield, and bring more firepower to smaller nations fending off larger foes.Guest Links:Manna https://www.manna.aeroBobby Healy https://www.linkedin.com/in/bhealy/Manna funding announcement https://www.manna.aero/blog/series-bTheseus https://www.theseus.us/Ian Laffey https://www.linkedin.com/in/ilaffey2/Most recent Theseus funding announcement https://techcrunch.com/2025/04/17/defense-tech-theseus-landed-y-combinator-the-us-special-forces-and-4-3m-from-a-tweet/The tweet that kickstarted Theseus: https://x.com/ilaffey2/status/1759353732075294766Timestamps:0:00 Bobby Healy of Manna joins TWiST1:41 How a Manna base works: drones migrate around the city like Waymos7:18 Battle-hardened in Irish weather: 97% uptime in wind and rain8:52 Margin-positive economics & the path to $0.20 per delivery9:25 Northwest Registered Agent: Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at https://northwestregisteredagent.com/twist12:32 $50M Series B vs competitors raising $600–800M19:51 Deel - Founders scale faster on Deel. Set up payroll for any country in minutes, hire anyone anywhere, get visas handled fast, and get back to building. Visit https://deel.com/twist to learn more.22:53 The peer-to-peer drone future and hyper-local commerce25:46 Growing from 170 to 570 people and moving manufacturing to Oklahoma28:43 Ian Laffey of Theseus joins TWIST29:57 Render: Find out why 5 million developers are already using the all-in-one cloud platform, Render. Go to https://render.com/twist and apply for the Render Startup Program to get $500-$100,000 in free credits, depending on your stage and backers.30:58 Inside Ukraine's drone industry: front-line iteration and free-market speed33:55 How GPS gets jammed across the spectrum35:10 Theseus's approach: cameras + satellite maps + ML37:04 The product: Raspberry Pi, SD card, camera — pretending to be GPS49:02 Ukraine: 6–8M drones a year. The US: 300K over two years.51:17 Are US drone primes actually reconstituting the supply chain?58:22 Y Combinator as a defense tech accelerator59:40 "Pick an issue and start working as hard as you can towards it"Subscribe 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/jasoncalacanisCheck out all our partner offers: https://partners.launch.co/Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

We're back! This time we talk about ricing or Unixporn addiction. ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

Get ready for another unforgettable episode of the Wise_N_Nerdy podcast as Charles and Joe welcome back returning guest Todd Sarner for a conversation packed with gaming debates, parenting wisdom, music industry stories, anime discussions, and the kind of chaotic humor fans have come to love. The episode kicks off with the Question of the Week: “Do you like that games do cosmetic-only purchases, or would you prefer game-changing content?” The hosts quickly find common ground, passionately agreeing that games should never allow players to buy a competitive advantage. From battle passes to microtransactions, the discussion dives into the modern gaming landscape and why cosmetic-only monetization feels far more fair to players who value skill and balance over pay-to-win mechanics. With the traditional roll of the dice, the episode launches into a barrage of Bad Dad Jokes, courtesy of Joe's middle child, Bob. The jokes come fast, the groans come faster, and the entire segment perfectly captures the wholesome chaos that defines Wise_N_Nerdy humor. Next comes the heartfelt “How Do I…?” segment, where the hosts discuss an important topic for parents everywhere: not letting pride get in the way of being a good parent. Through honest conversation and personal insight, Charles, Joe, and Todd explore how humility, communication, and admitting mistakes can strengthen relationships with your kids and help families grow together. The dice then guide the show into the thoughtful “Parliament of Papas” segment, featuring a question from community member MithrilBiata about fostering independence for a cousin with AuDHD. The hosts approach the discussion with empathy and care, sharing perspectives on encouragement, patience, and creating supportive environments that empower neurodivergent individuals while still respecting their unique challenges and strengths. From there, the episode shifts into the fan-favorite “Daddy, Tell Me A Story” segment, where Todd Sarner shares incredible memories from his time working as a roadie for Metallica. From behind-the-scenes chaos to unforgettable concert experiences, Todd's stories offer a rare glimpse into life on the road with one of the biggest bands in music history. Finally, the episode wraps up with the always entertaining “What Are You Nerding Out About?” segment. Joe shares his excitement about setting up a Raspberry Pi project to host a bot he created for the Digital Media Track Discord server. The bot, hilariously named Quasar—short for Questionably Useful Automated Scheduling Assistant Robot—perfectly embodies the nerdy creativity at the heart of the show. Meanwhile, Todd talks about using manga as a tool to improve his Japanese language skills, specifically mentioning Erased. In a perfect moment of synchronicity, Charles reveals that he had just finished watching the Erased adaptation that same week. Charles also shares exciting updates about how things are finally coming together between his six-month contract work and his Sunday morning gig, bringing the episode to a hopeful and uplifting conclusion. This episode is a perfect blend of gaming culture, fatherhood, fandom, humor, and heartfelt conversation. Whether you're here for the nerdy discussions, the parenting insights, or Todd's incredible stories from the music world, there's something for everyone. So settle in, share a laugh, and don't forget to Find your FAMdom. Learn more about Todd Sarner over at http://transformativeparenting.com Wise_N_Nerdy: Where Fatherhood Meets Fandom Learn more about your ad choices. Visit megaphone.fm/adchoices

Season 8 Episode 8 Episode 219   News Atari Acquires Rights to the Legendary Wizardry RPGs Star Fox 64 is being remastered New DIY Adapter Connects a Wii Remote to the Dreamcast via Bluetooth Build your own dial up ISP with a Raspberry Pi   Game Club Demon's World Neo Turf Masters   New Game Club Games Star Wars: Shadow of the Empire Mega Man 2   Zach's Podcast Capcom vs Marvel Fighting Collection ranking   Game Club Link Tree Retro Game Club Discord server Bumpers: Raftronaut , Inverse Phase Threads, Facebook, Bluesky, and  Instagram managed by: Zach ==================================== #retro #videogames #classiccomputing

Sam Altman took the stand this week to defend himself and his company against a lawsuit by Elon Musk. The three-week long trial has featured some of the biggest names in Silicon Valley, including Microsoft's CEO Satya Nadella and OpenAI cofounder and former chief scientist Ilya Sutskever. As the trial nears its end, Danny Fortson and Katie Prescott talk about why the stakes are so high and debate whether this is a case of sour grapes, or if OpenAI did actually “steal a charity” from Musk. Plus, the founder of Raspberry Pi on the future of AI and how he feels about his microcomputer being used to power AI agents such as OpenClaw.Get in touch: techpod@thetimes.co.ukProducer: Marnie DukeExecutive Producer: Priyanka DeladiaImage: Getty Hosted on Acast. See acast.com/privacy for more information.

On this week's show a listener asks for some help with keeping his audio in sync with his video. We also discuss how to turn off the ACR on your Smart TV. But first we read your emails and take a look at the week's news. News: Here's What's Coming in the 2026 Apple TV Roku's Howdy Streaming Service Reaches an Estimated 1 Million Users Deal Alert! 65" TV for $238 Audio Sync in a Home Theater Byron's request for answers to some specific questions on audio sync: I'd appreciate it if you guys could provide some "guiding principles" on syncing audio in a home theater setup. I have four questions: 1. Should the AVR be the ONLY place to mess with syncing settings (when everything runs through it, including ARC)? Yes, in most cases—this is the recommended approach. Start with AVR settings at zero or Auto, enable Auto Lip Sync if available, and adjust the manual audio delay there. Avoid adjusting on the TV or sources unless you have a specific reason like a stubborn source that bypasses the AVR. Changing multiple devices creates conflicts and makes troubleshooting harder. 2. If AVR is the main adjustment point, do sources automatically stay in sync after setting it once?  Often yes, especially with Auto Lip Sync enabled and consistent sources. The AVR's delay setting (or per-input memory) applies across similar content. However: Different video formats, resolutions, SDR vs. HDR/Dolby Vision,  60Hz vs. 24p or processing modes can introduce varying delays. Some AVRs store audio delay per input, so one good setting per source/input often suffices.  3. For Fire TV Sticks, Apple TV, etc.: Do sync settings apply across all apps, or per-app? Fire TV Stick: The AV Sync Tuning (under Settings > Display & Sounds > Audio) is generally a device-wide offset. It should hold across apps for the HDMI output. Individual apps might have minor internal variations, but a global tweak usually covers most cases. Reboot the stick if sync drifts. Apple TV: No built-in manual per-app delay slider in standard settings. There's a Wireless Audio Sync calibration that uses the iPhone for measurement, which is more global. Different apps (e.g., Netflix vs. others) can sometimes show varying sync due to their decoding/processing—users often report needing AVR tweaks when switching apps. Match Frame Rate and consistent audio formats help stability.  In both cases, rely on the AVR for the heavy lifting. 4. Do higher-end AVRs allow different sync settings per input? Yes! Many mid-to-high-end models store audio delay/lip sync per input source. Examples include Denon models with "Master Audio Delay" or similar, where you can set and recall different ms offsets (often 0–500ms) for each HDMI input. This is a big convenience for multiple devices. Check your AVR manual for "Audio Delay," "Lip Sync," or "per input" settings. Additional Best Practices Minimize variables: Disable unnecessary video processing (motion smoothing, noise reduction) on the TV and AVR to reduce video latency. Use "Game" or "Pure Direct" modes where possible for lower lag. HDMI/ARC specifics: Ensure high-quality HDMI cables. eARC is better than ARC for bandwidth and sync negotiation. Power cycle everything (unplug) after big changes. Order of troubleshooting: AVR Auto Lip Sync → Manual AVR delay → Source device tweaks → TV audio delay (last). Test tools: Use built-in sync tests on your devices or YouTube "lip sync test" videos. The Most Effective ways to Circumvent Smart TV Spying Last week we talked about how your TV was spying on what you are watching. This week we discuss how to prevent that from happening. The following are the most effective ways to circumvent smart TV spying and related data collection, ranked from easiest/quickest to most thorough. These also help limit proxy network enrollment in shady apps. 1. Disable ACR Directly in TV Settings (Quickest First Step) Most brands let you turn off Automatic Content Recognition (and related ad/personalization features) without losing core picture quality. Do this on every TV: Samsung: Home button → Sidebar menu → Privacy Choices → Terms & Conditions / Privacy Policy → Uncheck Viewing Information Services (and Interest-Based Ads if present). LG: Settings → General → System → Additional Settings (or Advanced) → Turn Live Plus OFF → Also enable Limit Ad Tracking. Sony: Settings → Initial Setup → Disable Samba Interactive TV. Vizio: System → Reset & Admin → Turn Viewing Data OFF. Roku TV / Roku-based: Settings → Privacy → Smart TV Experience → Uncheck Use Info from TV Inputs. Hisense / TCL: Settings → System or Privacy → Disable Smart TV Experience or Use Info from TV Inputs. Amazon Fire TV: Preferences → Privacy Settings → Turn off data tracking options. After changing, restart the TV. Check the setting again after any software update, as it can reset. Also disable voice assistants, microphones, and cameras (cover them physically if needed). 2. Block Internet Access to the TV (Highly Effective) The simplest long-term fix: Prevent the TV from phoning home at all. Don't connect it to Wi-Fi or Ethernet in the first place. Or, on your router: Create a guest Wi-Fi just for the TV, then use firewall rules, parental controls, or MAC address blocking to stop all outbound internet traffic (while allowing local network access if you stream from a NAS/Plex/Jellyfin). Advanced: Use a tool like Pi-hole or AdGuard Home on your network to block known tracking domains. Pro tip: Many people report the TV works fine (or even faster) for HDMI inputs and local streaming when fully offline. External streaming devices handle all internet needs. 3. Use the TV as a "Dumb" Display Only Treat your smart TV like a big monitor: Connect all content via HDMI from a more private device (never use the TV's built-in apps). Recommended external boxes (in order of privacy-friendliness): Apple TV — Clean interface, minimal tracking, no aggressive ads. NVIDIA Shield or other local-media-focused devices.  Raspberry Pi or HTPC running Kodi/Plex for full local control. This bypasses the TV's OS almost entirely. 4. Go Fully "Dumb" (Most Private Long-Term Solution) Buy a true dumb TV or large computer monitor (no smart features, no Wi-Fi, no ACR). Options exist in smaller sizes or from brands like Westinghouse for basic panels. Pair it with an external streamer or your own computer/laptop via HDMI. Many privacy-focused users prefer this setup over any "smart" panel. Important reality check: Disabling ACR and blocking internet stops most viewing-data collection, but no method is 100% foolproof against every firmware trick or future update. The nuclear option—keeping the TV completely offline and HDMI-only—remains the gold standard for privacy.  

Reddit is officially done with the r/all feed for its users, and Google Gemma 4 is a massive and truly open model family that can run on a laptop and a Raspberry Pi.Starring Jason Howell and Jenn Cutter.Show notes can be found here. Hosted on Acast. See acast.com/privacy for more information.