Podcasts about Open source

We found the best way for a Linux user to manage Windows: keep it remote, keep it contained, and touch the desktop as little as possible.Sponsored By:Webroot: Webroot is cloud-based antivirus, engineered to stay out of your way. For a limited time, you can save sixty percent.Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:

An underground forum post breaks down how hackers scan, exploit, and cash out on vulnerabilities — and it reads like a step-by-step guide. Meanwhile, Microsoft is catching heat for stonewalling a researcher who found real zero-days, and a new phishing campaign is hitting small businesses through the platforms they trust most. The OG crew — Joshua Schmidt, Eric Brown, and Nick Mellem — digs into this week's biggest cybersecurity headlines with sharp takes and real-world context that practitioners can actually use. 

video: https://youtu.be/86dRcm8BKI0 This week in Linux, we have some distro news like a new release of NixOS and some unfortunate security news for Arch users. Plus we'll check out the new RTX Spark Superchip that Nvidia announced and it's time to celebrate 25 years of DistroWatch as they reached this massive milestone this week! All of this and more on This Week in Linux, the weekly news show that keeps you up to date with what's going on in the Linux and Open Source world. Now let's jump right into Your Source for Linux GNews! Download as MP3 Support the Show Become a Patron = tuxdigital.com/membership Store = tuxdigital.com/store Chapters: 00:00 Intro 00:47 DistroWatch.com Celebrates 25 Years 09:56 NVIDIA RTX Spark "Superchip" 16:31 NixOS 26.05 Released 18:50 Arch Linux's AUR Compromised with Malware 27:06 T2 Linux 26.6 Released 29:51 Homebrew 6.0 Released 33:30 Microsoft Coreutils, Wait! What? 37:23 Outro Links: DistroWatch.com Celebrates 25 Years https://distrowatch.com/ https://distrowatch.com/weekly.php?issue=20260601#sitenews NVIDIA RTX Spark "Superchip" https://www.nvidia.com/en-us/products/rtx-spark/ https://nvidianews.nvidia.com/news/nvidia-microsoft-windows-pcs-agents-rtx-spark https://www.phoronix.com/news/NVIDIA-RTX-Spark https://www.nvidia.com/en-us/products/workstations/dgx-spark/ NixOS 26.05 Released https://nixos.org/blog/announcements/2026/nixos-2605/ Arch Linux's AUR Compromised with Malware https://archlinux.org/news/active-aur-malicious-packages-incident/ https://www.reddit.com/r/linux/comments/1u3alhe/comment/or3vhax/ https://discuss.cachyos.org/t/aur-compromised-400-packages-affected-20260611/31040 https://www.reddit.com/r/linux/comments/1u3alhe/roughly_400_aur_packages_compromised/ My Video = https://youtu.be/LunA3n_cRvU T2 Linux 26.6 Released https://t2linux.com/download/26.6 https://9to5linux.com/t2-linux-26-3-is-out-with-fully-reproducible-wayland-based-kde-plasma-experience https://distrowatch.com/?newsid=12864 Homebrew 6.0 Released https://brew.sh/2026/06/11/homebrew-6.0.0/ Microsoft Coreutils, Wait! What? https://github.com/microsoft/coreutils https://itsfoss.com/news/windows-coreutils/ https://www.phoronix.com/news/MS-Coreutils-For-Windows Support the show https://tuxdigital.com/membership https://store.tuxdigital.com/

Matan Grinberg is the Founder and CEO @ Factory, an AI research lab, bringing autonomy to software engineering. Matan has raised over $220M for the company from the likes of Sequoia, Khosla, NEA, Evantic and 20VC. Last round valued the company at a whopping $1.5BN.  AGENDA:  00:00 – Why AI Means Everyone Will Become a Builder 04:55 – Will AI Finally Break the 200-Year GDP Growth Ceiling? 06:45 – The Rise of the 100x Engineer & Load-Bearing Talent 08:00 – The New Executive Job: Allocating Tokens Like Capital 10:35 – Kirkland's $500M AI Bet: Brilliant or Delusional? 12:45 – The AI Value War: Models vs Applications vs Infrastructure 18:45 – Token Maxing, AI Hangovers & The Coming ROI Reckoning 22:00 – Why AI Spend Could Soon Exceed Developer Salaries 24:00 – Open Source Can Already Replace 80–90% of Frontier Model Work 28:00 – What Makes a Great Engineer in the Age of Agents? 35:00 – Jobs That Will Disappear First Because of AI 40:00 – Why Matan Isn't Worried About AI Taking Jobs Long-Term 46:00 – From String Theory to Startup Founder: The Sequoia Origin Story 52:00 – The Meeting That Led to Sequoia's First Check 58:00 – Why America's Lack of Frontier Open Models Is Embarrassing 1:08:00 – What Matan Looks for in Every New Employee 1:12:00 – Why Elite Companies Will Treat Employees Like NBA Athletes 1:16:00 – The Most Important Prediction Matan Has Changed His Mind On    

OpenChoreo is an opinionated, “batteries included”, AI-native Kubernetes platform stack for Platform Engineers that combines GitOps, Observability, AI Agents, and Workflows into a custom K8s distribution “super pack” that is managed via Backstage, CLI, API, or MCP. Now a CNCF project.Check out the video podcast version here: 

The Open Source game engine, which previously held mass bannings of non-Woke users, is promoting a game with child sex changes and promotion of "sex work".Grab a Discounted Lifetime Sub & Get on the Wall:https://lunduke.substack.com/p/50-off-yearly-and-massively-discountedMore from The Lunduke Journal:https://lunduke.com/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit lunduke.substack.com/subscribe

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with client strategist Amadeus Huff to cover a wide range of topics that wind their way from the nuts and bolts of recruiting and payment models to the rapidly shifting landscape of AI adoption in business. The two dig into how AI tools are reshaping client success roles, the murky territory of recording laws and privacy in a globalized world, the geopolitical implications of oil supply chains, sanctions, and the rise of domestic tech ecosystems in countries like Russia and Argentina, and what all of this means for the future of human connection and the nation-state. Amadeus closes on an optimistic note, arguing that as AI takes over bureaucratic busywork and erodes trust online, people will increasingly hunger for genuine human relationships and third spaces. You can connect with Amadeus Huff on LinkedIn.Timestamps00:00 - Stewart introduces Amadeus Huff, diving into recruiting as building connections between job seekers and employers with minimal variance.05:00 - Amadeus discusses AI adoption pitfalls, comparing aggressive growth strategies to Amazon's early model, questioning whether tools deliver promised results.10:00 - Conversation shifts to AI notetaking versus human perception, exploring probabilistic interpretation differences between humans and machines.15:00 - Recording consent laws debated across states, touching on Waymo surveillance, Uber data collection, and public versus private space definitions.20:00 - Global privacy landscape examined, covering Swiss banking secrecy erosion, ProtonMail's departure, and RISC-V semiconductor development escaping US jurisdiction.25:00 - Sanctions creating domestic innovation ecosystems discussed through Russia's example, paralleling Argentina's emerging commerce evolution.29:00 - Closing reflections on AI replacing bureaucracy while preserving human purpose, optimism about meaningful work and deeper personal connections emerging.Key Insights1. Recruiting is fundamentally about reducing variance between what job seekers want and what employers offer. The most ethical payment models in recruiting are tied to proven success, such as waiting three months to confirm a hire is working out, rather than collecting fees the moment a contract is signed.2. Business thinking has shifted from shareholder value to stakeholder value, meaning companies now consider the wellbeing of employees, families, and communities, not just stock price. This shift is accelerating due to AI overpromising and underdelivering, making value-based measurement more important.3. AI is most useful when it handles administrative tasks that provide no direct value to customers, such as transcribing meetings and populating CRM systems. This frees up workers to focus on meaningful relationship-building and intellectual work rather than bureaucratic busywork.4. There is an important distinction between recorded and unrecorded conversation in professional settings. Building trust through informal off-the-record dialogue before switching on a transcription tool creates clearer boundaries and stronger relationships with clients.5. Sanctions tend to follow a bell curve of effectiveness. Over time they force sanctioned countries to build domestic alternatives, which gain adoption and loyalty, ultimately reducing the influence of the original foreign companies once sanctions lift.6. AI is degrading trust in online information to the point where people will increasingly crave authentic human connection, physical gathering spaces, live experiences, and real relationships rather than algorithmically generated content.7. AI is quietly improving intergenerational relationships by removing codependency. When elderly parents learn to use AI for technical help, their calls to family members shift from problem-solving to genuine connection, which strengthens the relationship.

Intensely local user groups have been part of Jeremy Schneider's story from the start—from Linux meetups at a Michigan coffee shop to a closet server running an Oracle database nobody knew anything about. In Episode 40 of Talking Postgres, Postgres engineer and Seattle Postgres User Group co-organizer Jeremy Schneider joins Claire to share how community led him to Postgres after 15 years with Oracle—and why "it's like I was born to be here." Plus: the newly-updated Postgres Happiness Hints poster, advice for starting your own user group, and his POSETTE 2026 talk on CloudNativePG.Previously on Talking Postgres:Talking Postgres Ep 38: How I went from Oracle to Postgres (with a big NoSQL detour) with Gwen ShapiraLinks mentioned in this episode:Seattle Postgres User Group: Meetup pageSeattle Postgres User Group: YouTube channelUser Group Map from PGConfEU 2025 talk: 48 Postgres User Groups during PG18 timeframePostgreSQL.org: Listing of local Postgres User GroupsPostgres Meetup For All (a virtual meetup): Meetup pageJeremy Schneider's Blog: Ardent Performance ComputingPoster: Postgres Happiness HintsPGConf.dev 2026: Posters from Poster SessionPGConf.dev 2026 Poster Session: Talking Postgres posterPOSETTE: An Event for Postgres 2026: Jeremy's POSETTE 2026 talk with Leonardo CecchiPOSETTE 2026: Livestream 3 schedule & talksOracle docs: Oracle Database Concepts PDFBook: Oracle Insights: Tales of the Oak Table

Fußball-Profis verdienen in jungen Jahren Millionen, doch wie sichern sie dieses Vermögen langfristig ab? In dieser Folge spreche ich mit Lukas Liolios, der exklusive Einblicke in die Finanzwelt des Spitzensports gibt. Wir beleuchten, wie Nationalspieler und Bundesliga-Kicker das Thema Bitcoin angehen, wie sie sich vor Lifestyle-Inflation schützen und welche Lehren sie aus dem FTX-Crash gezogen haben. Zudem klären wir die Frage, wie groß die Bitcoin-Allokation in der Kabine tatsächlich schon ist.- LinkedIn: https://linkedin.com/in/lukas-liolios - E-Mail: office@digital-capital.techLEADING PARTNER

We’re unearthing a model writer for an anxious America. Dwight Macdonald was his own eccentric voice through the Cold War politics and culture of the 1950s and 60s. He was a peacenik at heart, otherwise ... The post America’s Orwell appeared first on Open Source with Christopher Lydon.

.NET on FreeBSD 15, Klara and TrueNAS fixing dedup, dhcpcd and unbound in FreeBSD Jails, and more... NOTES This episode of BSDNow is brought to you by Tarsnap and the BSDNow Patreon Headlines Running .NET 10.0 on FreeBSD 15.0 How Klara and TrueNAS collaborated to fix one of ZFS's longest standing limitations News Roundup Back to FreeBSD: Part 1 dhcpd and unbound in FreeBSD jails How our environment still needs the security boundary of Unix logins Increasing a bhyve vm disk Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv Join us and other BSD Fans in our BSD Now Telegram channel

What we'd like to change in FOSS • Gaussian Splats

Biohub started with an ambitious goal of curing, preventing, and managing all disease by the end of the century. A decade later, thanks to the convergence of frontier AI and biological data, that goal may have been too conservative. In this episode, Elad Gil and Sarah Guo sit down with Biohub co-founders Mark Zuckerberg and Priscilla Chan, alongside Biohub Head of Science Alex Rives. Together, they discuss Biohub's $500 million virtual biology initiative, which integrates frontier AI with wet-lab work to build predictive world models of cells, proteins, and systems. They also talk about their newly announced open-source engine for digital protein and antibody design, ESMFold2; why Biohub is a nonprofit rather than a venture-backed startup; and how hierarchical simulations will soon allow doctors to treat patients at an individual, mechanistic level.   Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Biohub | @finkd | @alexrives | @ChanZuckerberg Chapters: 00:00 – Cold Open 01:02 - Mark Zuckerberg, Priscilla Chan, and Alex Rives Introduction 01:26 – Why Biohub and Their Mission 08:27 – Integrating Frontier AI and Frontier Biology 09:45 – Micro to Macro Biological Modeling 14:22 – Mechanistic Interpretiability  16:58 – Why Biohub is a Non-Profit 21:41 – Understanding How Biology Works 24:23 – Timeline for Curing All Diseases 26:25 – Translating Research to Patient Impact 28:04 – Launch of ESMFold2 32:13 – Tackling Off-Target Effects and Edge Cases 38:39 – Putting the Tech in Individual Hands 41:06 – Talent at Biohub 44:25 – What's Next After ESMFold2 46:10 –  Connecting ESMFold2 to Agentic Systems 46:51 – The Virtual Cell 49:33 – Defining Success for Biohub 51:52 – Biohub Strategy Update 56:20 – Conclusion

Grizz Griswold (Executive Producer of Global Programs & Content at FINOS) kicks off Season 6 of the Open Source in Finance Podcast with an absolute masterclass preview of OSFF London 2026. Discover how the global financial industry is shifting its focus from basic LLM experimentation to production-grade agentic safety, deterministic workflows, and cross-hyperscaler cloud controls.

Topics covered in this episode: Vulnerability and malware checks in uv HTTP GET requests with the Python standard library Millions of AI agents imperiled by critical vulnerability in open source package alembic-git-revisions Extras Joke Watch on YouTube About the show Goodbye and Thanks Brian Thanks Calvin for being part of this and future episodes! Also new time for the live show. Thanks Brian for all the hard work over the years. Calvin #1: Vulnerability and malware checks in uv release just yesterday by Astral https://astral.sh/blog/uv-audit uv audit scans dependencies for known vulnerabilities and abandoned packages via the OSV database — runs 4–10x faster than pip-audit Malware check runs on every install/sync, catching actively malicious packages (credential stealers, etc.) before they execute — including ones PyPI quarantined but lockfiles can still reference Enable malware scanning with UV_MALWARE_CHECK=1 — it's opt-in and in preview Future roadmap includes a resolver that steers toward vulnerability-free versions and install-time warnings scoped to newly added deps only Michael #2: HTTP GET requests with the Python standard library If you're doing HTTP in Python, you're probably using one of three popular libraries: requests, httpx, or urllib3. There have been issues with httpx lately. Niquest is another option: Drop-in replacement for Requests. Automatic HTTP/1.1, HTTP/2, and HTTP/3. WebSocket, and SSE included. But maybe less is more, especially in the age of agentic AI A good candidate needs two things to be true at once, not one: the used surface is small, and the behavior behind that surface is shallow. Calvin #3: Millions of AI agents imperiled by critical vulnerability in open source package "BadHost" (CVE-2026-48710) is a critical vulnerability in Starlette — the ASGI framework underlying FastAPI — with 325 million weekly downloads; also affects vLLM, LiteLLM, and most MCP server tooling The exploit is trivial: injecting a single character into an HTTP Host header bypasses path-based authentication, and can lead to credential theft, SSRF, and in some cases remote code execution MCP servers are a prime target since they store credentials for external services (email, databases, cloud accounts) — exposed data in the wild includes biopharma clinical trial DBs, full mailboxes, HR/PII pipelines, and AWS topology Fix is available — patch to Starlette 1.0.1 immediately; use the free scanner at mcp-scan.nemesis.services to check if your servers are still running a vulnerable version Open source sustainability footnote: the maintainer triages near-daily security reports solo, in his free time — most are AI-generated noise, and real ones like this still compete for the same evenings and weekends Michael #4: alembic-git-revisions By Julien Danjou from Mergify Automatic Alembic migration chaining based on git commit history. No more Multiple head revisions are present for given argument 'head'. See the introductory article Caused by two migrations landed with the same down_revision, and Alembic doesn't know which one comes first. The fix is always the same: someone manually edits the migration file to re-chain the revisions. The insight: git already knows the order Extras Calvin: GNU make can do pattern matching in the target. Not new at all, mentioned in the 1994-era docs. just and task don't have this super power on the target name yet. train-%: uv run ./train.py $* --save-hyper-params --overwrite $(TRAIN_ARGS) Michael: Updated my HTTP client using packages from httpx to httpx2: listmonk, umami, and memberful. For motivation, see this reddit thread. Joke: Accurate

This Open Source Startup Podcast episode has our co-hosts Robby and Tim in conversation with James Bayer, Chief Product Officer at software development platform Flox.Flox's open source, also called flox, provides a software environment platform powered by package manager Nix.In this episode, James shares lessons from his career across Cloud Foundry, Pivotal, and HashiCorp, where he helped turn widely adopted open-source projects like Terraform into sustainable businesses. His core takeaway is that support-only open source is difficult to scale; successful companies usually monetize the “multiplayer” capabilities that teams and enterprises need while keeping individual usage free.Now at Flox, James sees a similar opportunity built on top of Nix, a powerful but historically complex technology. He joined because Flox makes Nix dramatically easier to use, helping developers and AI agents manage software environments and dependencies. He also discussed the balance between open-source principles and commercial viability, and why he remains optimistic about the future of software development in the age of AI.

Getting a package into Fedora takes more than just writing a spec file. There's a review queue, a sponsorship bottleneck, and a contribution process that can feel opaque to newcomers. Jakub Kadlcik has spent a decade inside that pipeline as a Copr developer and maintainer, and he's been quietly building tools to fix the parts that frustrate him most. From the Fedora Review Service that automates package review CI, to a sponsor-finder that helps new contributors navigate one of open source's less-discussed gatekeeping challenges, Jakub is reshaping how packaging works in Fedora. He'll also share what he thinks needs to change when src.fedoraproject.org moves to Forgejo, and why his live coding YouTube channel is pulling in way more viewers than he expected. The Fedora Podcast brings you exclusive interviews and deep dives with the innovators and contributors who make the Fedora community amazing! From cutting-edge technologies to the production of the Fedora distribution itself, we chat with the minds behind it all. Whether you're a longtime user or just curious, there's always something new to discover in the world of Fedora.

Rizel Scarlett is a Principal Developer Advocate at Entire and a software engineer and community builder. She previously worked in developer advocacy roles at Block and GitHub and shares content about open source and AI agents.You can find Rizel on the following sites:XGitHubLinkedInMastodonBlogTwitchPLEASE SUBSCRIBE TO THE PODCASTSpotifyApple PodcastsYouTube MusicAmazon MusicRSS FeedYou can check out more episodes of Coffee and Open Source on https://www.coffeeandopensource.comCoffee and Open Source is hosted by Isaac Levin

James Everingham is the CEO and Co-founder of Guild.ai — the AI agent control plane for production teams. With roots at Netscape, Instagram (Head of Engineering), and Meta (Head of Dev Infra, leading a 1,000-person org), James brings rare, hard-won expertise to the challenge of operating AI agents at scale.From Single-Player to Multi-Player: Operating AI Agents at Scale // MLOps Podcast #383 with James Everingham, CEO and Co-founder of Guild.aiIn this episode, James unpacks what actually breaks when you move from a single AI agent to a fleet of them — and what engineering leaders need to build before it's too late.

En este episodio celebramos un hito increíble: el 20º aniversario de Podcast Generator. Nos acompaña Alberto Betella para contarnos la historia de esta herramienta pionera que nació en la Universidad de Bérgamo en 2006 y que acabó convirtiéndose en la base tecnológica y el MVP de lo que hoy conocemos como RSS.com. A lo largo de la charla, exploramos cómo un proyecto Open Source basado en la simplicidad absoluta, llegando incluso a prescindir de base de datos para facilitar su uso, logró perdurar durante dos décadas en un sector que no ha dejado de evolucionar.Alberto nos detalla su proceso creativo, desde las primeras versiones alojadas en SourceForge hasta el uso actual de la inteligencia artificial para analizar y documentar 52 versiones de su propio código histórico. Conversamos sobre la filosofía del software libre, la influencia de figuras como Richard Stallman y la importancia de construir productos que resuelvan problemas reales de forma sencilla. Es una reflexión profunda sobre la arquitectura de software, la evolución del podcasting y el viaje de un desarrollador que ha visto cómo su "script de fin de semana" se transformaba en un referente global.Support the show

Warum sind wir eigentlich ständig beschäftigt, aber trotzdem nie wirklich fertig? Zwischen To-Do-Listen, E-Mail-Inbox, Slack, Kalendern, Social Media und den berühmten Man-müsste-mal-Aufgaben entsteht schnell das Gefühl, dass Produktivität vor allem aus Reagieren besteht. Genau hier setzen wir an und sprechen darüber, warum Zeitmanagement oft gar kein Zeitmanagement ist, sondern Selbstverwaltung, Priorisierung und ein ziemlich ehrlicher Blick auf den eigenen Alltag.In dieser Episode ist Dirk Deimeke zu Gast, Systems Engineer bei der Swisscom, Open-Source-Enthusiast, Podcaster und Buchautor. Mit ihm diskutieren wir Methoden wie Getting Things Done, Inbox Zero, Time-Blocking, Eat the Frog und die Zwei-Minuten-Regel. Wir sprechen über Doomscrolling, Digital Wellbeing, Benachrichtigungen, persönliche To-Do-Systeme, Notizen-Chaos, Kalenderpflege und die Frage, warum Tools selten das eigentliche Problem lösen. Außerdem geht es um Gewohnheiten, Reviews, Overcommitment, Stressbewältigung, Work-Life-Balance für Wissensarbeit und darum, wie du einen Methoden-Mix findest, der wirklich zu deinem Workflow passt.Wenn du dich schon mal gefragt hast, wie du fokussierter arbeitest, weniger vergisst, bewusster priorisierst und trotz Job, Side Projects, Open Source, Podcast, Familie oder Tech Community nicht komplett im Task-Berg versinkst, dann ist diese Folge für dich. Oder anders gesagt: Vielleicht brauchst du kein neues Tool, sondern nur den Mut, mal einen Task zu löschen.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

Roman Chernin is Co-Founder and Chief Business Officer of Nebius, one of the fastest-growing AI infrastructure companies in the world. Today, Nebius operates some of the largest AI compute clusters globally and serves leading AI labs, enterprises, and developers. Today, Nebius has a market cap of $57BN.  AGENDA:  00:00 — Why AI Infrastructure Is Not a Bubble 05:00 — The Real Impact of Open Source on OpenAI & Anthropic 11:00 — Jevons Paradox: Why Cheaper AI Creates More Demand 13:00 — The Four Layers of AI Infrastructure Explained 19:00 — If Nebius Had 10x More Capacity Tomorrow 26:00 — The Shift from Training to Inference and Agents 31:00 — How Token Factory Cuts AI Costs by 70% 44:00 — Sovereign AI, Europe, and the Future of Model Building 49:00 — Competing Against Hyperscalers with 10x More Capital 59:00 — The Biggest Threat to Nebius Isn't Competition—It's Consolidation    

Leave the farm without killing the chickens, or losing remote access? We dig into how we pulled it off: Frigate, local automation, sun-tracking coop doors, and a network that shrugged off an ISP outage.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:ConnecTen Internet — Get $35 off your order total with Jupiter35

Its rare - but it happens: A guest-free episode of PurePerformance, allowing Andi Grabner and Brian Wilson reconnect to share real-world insights from recent months in the cloud-native and observability space. From KubeCon Amsterdam experiences and the strength of open-source collaboration to emerging challenges like AI-generated contributions, they explore how the industry is evolving beyond the hype.Your co-hosts of PurePerformance discuss the changing role of observability in the AI-native era—both as a foundation for understanding complex systems and as a tool to monitor AI itself. Brian shares his personal shift from AI skepticism to practical adoption, highlighting how AI can significantly improve productivity when used thoughtfully.Hope you all enjoy this episode!

In this episode of The Business of Open Source, I spoke with Manik Surtani, one of the co-founders of the Agentic AI Foundation and the CTO at the foundation. This is part of the series I'm working on about open source and AI, which started last week with a conversation with Glauber Costa about how AI killed a bug bounty program. Manik talks about how the foundation came into existence, why it's important to have a foundation that's specific to agentic AI and what it means, in terms of everyday activities, to be the CTO of an open source foundation. Given how fast everything is moving in the AI space, and specifically around what open source actually means, how we define what is and is not open source, where we can get data and who is able to have data that is open enough to be considered open source. And if we want to mitigate the environmental impact of AI, is the solution really to insist on fewer cat videos? However, if you like this show and want more content about the intersection of open source, AI and bottom lines, you should consider sponsoring! Reach out if you're interested. 

https://novacut.ai/  https://genaimeetup.com/  Anthropic has officially closed a $65 billion Series H at a $965 billion valuation, nearly 2.5x its valuation from just 100 days ago. Meanwhile, funding is flowing across the ecosystem: Frameworks AI at $15B, Baseten at $11B, OpenRouter's $113M Series B, and Cognition AI's $1B Series D. NVIDIA went on an open-source super week with Nemotron 3 Ultra, Cosmos 3, and Nemotron 3.5 ASR. Microsoft dropped 5 new MAI models. Google released Gemma 4 12B, and Anthropic shipped Opus 4.8. On the benchmarks front, DeepSWE crowns GPT-5.5 as the leader in long-horizon coding tasks, while ITBench shows even frontier models struggle with real-world SRE incidents — Claude Opus 4.7 tops out at just 47%. Plus: Cloudflare acquires VoidZero to build the future of AI-native edge development, and Google is paying SpaceX $920M/month for compute. Topics covered: • Anthropic's $65B Series H and path to $1T • Fireworks AI, Baseten, OpenRouter & Cognition funding rounds • Microsoft's 5 new MAI models • NVIDIA's open-source super week (Nemotron, Cosmos 3) • MiniMax M3, Gemma 4 12B, JetBrains Mellum2, Opus 4.8 • DeepSWE benchmark: GPT-5.5 leads long-horizon coding • ITBench: Frontier models under 50% on real SRE tasks • Cloudflare + VoidZero for AI-native edge dev • Google's $920M/month SpaceX compute deal #AI #Anthropic #NVIDIA #OpenAI #AInews #TechNews #LLM     Funding rounds Anthropic formally confirmed the closure of its $65 billion Series H funding round at a post-money valuation of $965 billion. This represents a 2.5-fold increase over its $380 billion Series G valuation from February 2026, adding $585 billion in value in approximately 100 days https://www.anthropic.com/news/series-h  Frameworks AI raising at 15B valuation representing a near fourfold increase from its $4 billion Series C valuation recorded in October 2025 processing 15 trillion tokens daily for major production clients including Cursor, Notion, and Perplexity https://finance.yahoo.com/sectors/technology/articles/fireworks-ai-eyes-15-billion-174609357.html Baseten is raising 1B at 11B valuation annualized revenue, which skyrocketed from $200 million to $600 million over a single quarter https://techstartups.com/2026/05/26/ai-inference-startup-baseten-in-talks-to-raise-1-billion-at-11-billion-valuation/  OpenRouter has secured a $113 million Series B funding OpenRouter has experienced exponential traffic growth, with weekly production throughput expanding fivefold from 5 trillion to 25 trillion tokens over a six-month horizon https://www.businesswire.com/news/home/20260526953416/en/OpenRouter-Raises-%24113-Million-CapitalG-led-Series-B-as-Weekly-Volume-Explodes-to-25T-Tokens  Further up the stack: Cognition AI secured a $1 billion Series D round led by Lux Capital and 8VC https://cognition.ai/blog/series-d   Model Releases MAI models: MAI-Code-1-Flash: A 5-billion active parameter model optimized for ultra-low latency within GitHub Copilot and VS Code. MAI-Image-2.5: A high-fidelity image generation model ranking third on global image evaluation arenas, outperforming competing architectures like Nano Banana Pro. MAI-Transcribe-1.5: A multi-lingual speech processing engine offering fivefold speed improvements across 43 languages. MAI-Voice-2: Natural audio and voice generation across 15 languages, available at a highly competitive price point. Web IQ: A search-grounding API engineered to directly compete with Perplexity. https://microsoft.ai/models/    https://www.peoplematters.in/news/ai-and-emerging-tech/uber-imposes-dollar1500-monthly-ai-spending-limit-on-employees-amid-rising-costs-50073    Nvidia has executed an "Open-Source Super Week," positioning itself as a dominant software and model publisher: Nemotron 3 Ultra (best US open source open weights model but behind china): A massive 550-billion parameter MoE (55 billion active) designed with a 1-million token context window, optimized specifically for high-throughput, cyclical agent loops. It achieved peak throughput rates of 400 tokens per second on day-zero optimized clusters. Cosmos 3: A physical AI world-modeling framework comprising 16-billion Nano and 64-billion Super variants. Built on a Mixture-of-Transformers (MoT) architecture, Cosmos 3 natively binds textual, visual, auditory, and physical kinetic vectors. Nemotron 3.5 ASR: A highly compact 0.6-billion parameter streaming speech recognition model pushing sub-100 millisecond latencies across 40 language locales.   https://www.minimax.io/models/text/m3  MiniMax M3: A 1-million token context model hitting 59.0% on SWE-Bench Pro and 74.2% on MCP Atlas, though noted for high token consumption due to intensive internal self-validation loops.   https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12b/  Gemma 4 12B: Google's Apache 2.0 on-device model, which utilizes an encoder-free architecture that projects vision and audio vectors directly into the text-token space, bypassing separate CLIP-style encoders to minimize local memory footprints. https://www.jetbrains.com/mellum/  JetBrains Mellum2: A compact 12-billion parameter MoE (2.5 billion active) engineered for ultra-low latency routing and retrieval-augmented generation (RAG) sub-agents within developer IDEs. Opus 4.8 https://www.anthropic.com/news/claude-opus-4-8    https://www.cnbc.com/2026/06/05/google-to-pay-spacex-920-million-a-month-for-xai-compute-capacity.html      Benchmarks: https://deepswe.d atacurve.ai/blog https://venturebeat.com/technology/deepswe-blows-up-the-ai-coding-leaderboard-crowns-gpt-5-5-and-finds-claude-opus-exploiting-a-benchmark-loophole (GPT 5.5 the winner in long horizon tasks) a highly complex software engineering benchmark focused on original, long-horizon tasks across five distinct programming languages. Comprising 113 chaotic tasks across 91 live, production-grade repositories, DeepSWE forces agents to generate 5.5 times more code and modify an average of 7 separate files per task compared to standard evaluations. On this challenging leaderboard, GPT-5.5 leads with a score of 70%, establishing a significant 16-percentage-point lead over contemporary alternatives I think older benchmarks where models reach ~90% accuracy can be considered saturated. Few percentage points don't give us any good signal.  https://research.ibm.com/publications/developing-ai-agents-for-it-automation-tasks-with-itbench  ITBench-AA, an evaluation framework focusing on live Kubernetes incident response and Site Reliability Engineering (SRE) operations. Comprising 59 live, containerized SRE incident snapshots, the results are remarkably sobering: every frontier model scored under 50% on successful incident resolution, with Claude Opus 4.7 leading at 47% and GPT-5.5 following closely at 46%.   Edge AI announcements: https://www.cloudflare.com/press/press-releases/2026/cloudflare-acquires-voidzero-to-build-the-future-of-the-ai-native-web/  The consolidation of the AI-native developer stack has reached the runtime virtualization layer. Cloudflare recently completed the acquisition of VoidZero, the development group responsible for Vite, Vitest, Rolldown, and Oxc, backing the transaction with a $1 million open-source ecosystem fund. This acquisition is highly strategic; as autonomous agents write an increasing proportion of production software, local development environments, compilation pipelines, and bundlers must be optimized for execution speeds that match agent speeds. Cloudflare's goal is to construct a localized, full-stack edge playground. In this sandbox, AI agents can generate, test, bundle (utilizing the highly parallelized, Rust-based Oxc and Rolldown engines), and deploy entire web applications end-to-end within milliseconds. This architecture completely bypasses traditional local machine container bottlenecks, enabling high-velocity agent loops to execute in a fully sandboxed, web-scale edge runtime.

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

There's a word that keeps coming up when you talk to people who build software for a living. The word is fork. To fork something means you take an existing codebase — someone else's rules — and you branch off. You make your own version. You run it your own way. And nobody can stop you. We're at Frontier Tower in San Francisco. At the Next Democracy Summit. Ruzgar Imski is a Playnet contributor exploring organizations as games and games as organizations. How might we play organizations into existence? And in so doing overcome the division between game designers and game players, rule-makers and rule-abiders, between legislators and citizens. Kate Lee builds systems too. What if you forked a city ordinance? What if you forked a federal statute? If code is law, put it in a repository, let people propose changes. Real changes. Actual line edits, submitted by anyone, reviewed in public, merged or rejected with a record of why. And underneath all of that is a harder question she keeps returning to — who owns your identity. Not your passport. Your digital twin. The version of you accumulating in systems you've never seen, built from searches and purchases and patterns and memories you didn't consciously hand over. AI is storing that now. Learning from it. And the person it knows best might be you — but you have no access to what it remembers. No access to your own externalized memory. Tate Chamberlin put them in a room together. Two people who build systems and still want to talk about what those systems are actually doing to governance, to identity, to the idea of sovereignty in a world where code writes code and AI inherits the keys. The game has been running for a while now. Someone designed it. It's up to us to change it. Today, Ruzgar, Kate and I are on a quest to open-source society and democracy.

Our 247th episode with a summary and discussion of last week's big AI news!Recorded on 06/03/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:Anthropic released Claude Opus 4.8 with improved benchmark scores, discussed eval-awareness findings and welfare/corrigibility themes from its system card, and introduced Dynamic Workflows for long-running multi-agent tasks.Microsoft unveiled the always-on Microsoft Scout assistant built on OpenClaw plus new in-house MAI models (including MAI Thinking 1) and “frontier tuning,” emphasizing enterprise security architecture and model-from-scratch capability.Major business moves included Anthropic's $65B Series H at a $965B valuation alongside an IPO filing, a JPMorgan analysis arguing OpenAI needs major revenue growth to justify infrastructure spend, and Cognition raising $1B at a $25B valuation.Policy and security highlights covered Trump's voluntary pre-release government testing framework for powerful AI, Meta AI support being exploited to hijack Instagram accounts, tightened US Nvidia export controls and China's travel approvals for AI experts, plus expanded Glasswing/Mythos-style cyber and biodefense initiatives.Timestamps:(00:00:10) Intro / Banter(00:04:10) Sponsors(00:07:10) News PreviewTools & Apps(00:07:54) Anthropic releases Opus 4.8 with new 'dynamic workflow' tool | TechCrunch(00:22:37) Microsoft Scout is a new AI personal assistant built on OpenClaw | The Verge(00:26:55) Microsoft launches new MAI family of AI models at Microsoft Build | Mashable(00:37:43) Robinhood now lets your AI agents trade stocks | TechCrunch(00:40:49) OpenAI launches new Codex tools for white-collar work | TechCrunch(00:43:40) ElevenLabs' new music-generation model can switch genres mid-track | TechCrunchApplications & Business(00:44:35) Anthropic Hits $965 Billion Valuation, Surpassing OpenAI - WSJ(00:45:32) Anthropic Files to Go Public, Setting Stage for Huge I.P.O. - The New York Times(00:51:15) China's ByteDance Developing New AI Chips Like Those from Nvidia Partner Groq(00:55:00) Anthropic expands Mythos to 150 additional organizations(00:55:35) OpenAI needs a 26x revenue increase to justify its buildout(00:58:46) AI coding startup Cognition raises $1B at $25B pre-money valuation | TechCrunchProjects & Open Source(01:00:50) MiniMax-M3 debuts, eclipsing GPT-5.5 and Gemini 3.1 Pro on key benchmark performance for just 5-10% of the cost | VentureBeatPolicy & Safety(01:06:08) Trump Signs Executive Order Seeking Oversight of A.I. Models - The New York Times(01:11:45) Hackers Simply Asked Meta AI to Give Them Access to High-Profile Instagram Accounts. It Worked(01:13:058) Chinese AI experts in private firms now required to secure approval before international travel — Beijing enforces policy to secure top-tier talent, expands measures beyond government(01:17:53) U.S. Tightens Controls on Nvidia AI Chip Exports | Let's Data Science(01:21:47) OpenAI launches Rosalind Biodefense, offers federal agencies early access to its life-sciences model(01:24:00) Using LLMs to secure source code(01:26:19) Project Glasswing: An initial update(01:29:30) White House Approves $9 Billion for Spy Agencies to Catch Up on A.I.(01:32:11) US Law Enforcement Warns of ‘Anti-Tech Extremism' as AI Hatred GrowsSynthetic Media & Art(01:35:38) YouTube will now automatically label AI videos | TechCrunchResearch & Advancements(01:36:22) Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention(01:41:26) From Simulation to Enaction: Post-trained language models recognize and react to their own generationsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week I'm talking with Max Stoiber, currently working on ChatGPT's plugin directory and app platform at OpenAI. We discuss the hundreds of open source projects nobody remembers alongside the big ones like react-boilerplate and styled-components, how Spectrum became part of GitHub and eventually helped shape GitHub Discussions, the founder growth that came from building Stellate, the GraphQL cache that turned into a dual acquisition by Shopify and The Guild, and why ChatGPT apps feel like a new surface for software.

  Many companies rely on open source, regardless of whether or not they realize it. In this best of the Hedge episode, Alistair Woodman joins Russ White and Tom Ammon to talk about not only why you should support the open source projects you use, but how you can.   https://media.blubrry.com/hedge/content.blubrry.com/hedge/hedge-015.mp3 @nbsp; download $nbsp; Reposting a classic episode this week because I was out of town and didn't get around to editing an episode.

Diesmal: Ötzi-Sauerteig, der ifo-Geschäftsklima-Index, der Global Justice Report, Reichtum und Armut, Vermögenssteuer in Ungarn, Feynmans Restaurant-Problem, Trump "Entschädigungs-Fonds", EU-Kommission für Open Source. Mit einem Faktencheck von Nándor Hulverscheidt und einem Limerick von Jens Ohrenblicker.

This week I'm talking with Max Stoiber, currently working on ChatGPT's plugin directory and app platform at OpenAI. We discuss the hundreds of open source projects nobody remembers alongside the big ones like react-boilerplate and styled-components, how Spectrum became part of GitHub and eventually helped shape GitHub Discussions, the founder growth that came from building Stellate, the GraphQL cache that turned into a dual acquisition by Shopify and The Guild, and why ChatGPT apps feel like a new surface for software.

Google released Gemma 4 12B, a multimodal model that runs locally on 16GB devices. TSMC's CEO warned chip supply won't meet demand for years. Ramp raised $750M at $44B, and Anthropic says 80%+ of its merged code is now Claude-authored. Google releases Gemma 4 12B, an 11.95B-parameter unified, encoder-free open multimodal model that can run locally on devices with 16GB of VRAM or unified memory (VentureBeat) Public First: 26% of Americans support increased data center construction, the lowest share among 15 large countries, such as Brazil, Japan, the UK, and Canada (FT) Sam Altman and Dario Amodei are among the signatories on a public letter urging improved tracking of synthetic DNA that could be used in AI-developed bioweapons (Wired) TSMC CEO C.C. Wei says the company won't be able to fulfill the demand led by US customers even as more capacity comes online in the US over the next few years (Bloomberg) Corporate spending management platform Ramp raised $750M at a $44B valuation led by Iconiq, Singapore's GIC, and the OTPP, taking its total funding to $3B (Bloomberg) Anthropic details its progress toward recursive self-improvement, and its implications, and says 80%+ of the code merged into its codebase is authored by Claude (Anthropic) Learn more about your ad choices. Visit megaphone.fm/adchoices

Tony: -Carbonation Station: C4 Jolly Ranchers -Asus ProArt P16 (Timely): https://press.asus.com/news/press-releases/asus-proart-p16-p14-mini-pc-nvidia-rtx-spark-computex-2026/ -Nvidia consumer SoC breaks cover (Timely): https://www.engadget.com/2184558/nvidia-rtx-spark-chip-windows-pcs/ -Bambu A2L (lightning): https://3dprintingindustry.com/news/new-bambu-lab-a2l-3d-printer-technical-specifications-and-pricing-252057/ Jarron:  -A single-dose drug can drastically lower your cholesterol:⚡ https://arstechnica.com/health/2026/05/one-dose-of-gene-editing-drug-cut-bad-cholesterol-62-for-months-in-small-trial/ -Timely-AMD socket support is unparalleled:⚡ https://arstechnica.com/gadgets/2026/06/amd-extends-socket-am5-support-through-at-least-2029-am4-refuses-to-die/ -But also, their output is just pretty sad lately:⚡ https://www.theverge.com/tech/940524/amd-computex-am5-promise-2029-rx9070gre-7700x3d-5800x3d -Timely-Slate truck goes up for preorder on June 24th:⚡ https://www.engadget.com/2183143/slate-ev-truck-pre-orders-will-open-on-june-24/ Owen: -The risks of building on Open Source technology https://arstechnica.com/gadgets/2026/05/inside-the-fight-to-force-vizio-to-share-linux-based-source-code-for-its-tvs-os/ Lando: -Distributed Data Center! SPAN wants to use your home to host AI Servers! https://arstechnica.com/ai/2026/05/the-newest-ai-boom-pitch-host-a-mini-data-center-at-your-home/

Max Deichmann is the co-founder of Langfuse, the open-source LLM engineering platform that became the observability layer of choice for teams building production AI agents, before being acquired by ClickHouse. He started as a business student who taught himself to code via CS50 on a beach in Singapore, pivoted through Y Combinator, fired his own customers mid-batch, and built Langfuse out of a Sunday night conversation about what they'd actually want to build if nothing was in the way. In this episode, Tobi and Max dig into what it really means to build and operate AI agents in production, not the LinkedIn version, but the 3 am alert, copy-pasted into Codex version. They cover the full loop: from pre-production experimentation and prompt iteration, to tracing, online evaluation, and the emerging architecture of agentic incident response. Max is unusually honest about where Langfuse itself still falls short, and what the next 12 months of the engineer's job actually look like. What CTOs will take away: a clear mental model for LLM observability vs. traditional observability, a practical blueprint for agentic on-call workflows, and a grounded view of where agents are genuinely working in production today, and where the hype still outpaces reality. Topics covered: Why traditional observability tools fail for non-deterministic AI applications The Langfuse loop: pre-production testing, tracing, online evaluation, and iteration How the ClickHouse acquisition happened, and the half-page doc that decided it Open source as a go-to-market strategy: adoption without a sales team Agentic on-call: how Max's team handles 3 am incidents with Codex today The "decision inbox" model, what the engineer's job looks like when agents do the work Where agents are genuinely succeeding in production (and where LinkedIn is lying to you)

This episode with Lukasz Kaiser, co-author of the seminal "Attention Is All You Need" transformer paper and former researcher at both Google Brain and OpenAI, is a wide-ranging conversation about the fundamental limits of current AI architectures and whether transformers will continue to dominate or eventually give way to something new. Lukasz brings a rare dual perspective: deep belief in how far the current paradigm has taken us (he's an enthusiastic daily Codex user who's seen 10x productivity gains in his own research), while maintaining genuine intellectual humility about whether transformers can truly generalize the way humans do. The episode weaves together questions about data efficiency, the non-verifiable RL frontier, the coding agent revolution, the open vs. closed source gap, and what the next architectural leap might look like: all filtered through the lens of someone who helped build the foundation the entire field is standing on.   (0:00) Intro (1:12) Transformers vs. Human Learning (8:37) How Do We Get Physical World Generalization? (10:52) What Comes After Transformers (13:59) How Much Have Agents Improved Lukasz's AI Research Productivity? (17:21) How Close Is an AI Research Intern? (26:06) RL Beyond Verifiable Tasks (35:38) App Companies: Build Models or Lean on Labs? (46:21) Multimodal Is Still Missing Something (49:46) OpenAI's Bet on Reasoning (55:26) The AI Coding Wars (59:26) Focus vs. Keeping Embers Burning (1:02:09) Open Source vs. Closed Source Gap (1:05:15) Quickfire With your host: @jacobeffron - Managing Director at Redpoint

In this episode of the Microsoft Threat Intelligence Podcast, host⁠ ⁠⁠Sherrod DeGrippo is joined by Allie Luhrs and Mario Samolis from Microsoft Security to explore the growing threat of open source software supply chain attacks. They discuss how malicious NPM packages, compromised developer ecosystems, AI-generated attacks, and software dependency risks are reshaping modern incident response, while sharing insights from their recent presentation at BlueHat IL 2025.   In this episode you'll learn:       How attackers are targeting open source software ecosystems at scale  Why AI is accelerating both cyberattacks and threat detection  What was uncovered during their BlueHat presentation on modern software supply chain attacks  Some questions we ask:      What patterns did you uncover in NPM attack campaigns?  Should developers rely on dependencies or build everything themselves?  Why should organizations pay closer attention to open source security risks?  Resources:   View Allie Luhrs on LinkedIn   View Mario Samolis on LinkedIn   View Sherrod DeGrippo on LinkedIn     Related Microsoft Podcasts:                    Afternoon Cyber Tea with Ann Johnson  The BlueHat Podcast  Uncovering Hidden Risks        Discover and follow other Microsoft podcasts at microsoft.com/podcasts     Get the latest threat intelligence insights and guidance at Microsoft Security Insider    The Microsoft Threat Intelligence Podcast is produced by Microsoft, Hangar Studios and distributed as part of N2K media network. 

Topics covered in this episode: CVE-2026-48710: A Maintainer's Perspective daily-stars-explorer Markdown to pdf with pandoc and typst postman2pytest Extras Joke Watch on YouTube About the show Brian #1: CVE-2026-48710: A Maintainer's Perspective Marcelo Trylesinski suggested by Lee Luocks Short version: users of Starlette: upgrade to Starlette 1.0.1 security professionals: we can't treat open source projects like corporations This top link is a Starlette security advisory with the title Missing Host header validation poisons request.url.path, bypassing path-based security checks The CVE apparently caused some negative press targeting starlette. However, “the vulnerability came from the application pattern and the deployment, never from something Starlette intended.” A quote from an OSTIF article: “This bug is a classic “responsibility gap” where if this maintainer didn't patch, thousands of exposed projects would have to individually secure their projects. In doing this work, they've voluntarily taken on the responsibility to protect the ecosystem from long-term systemic harm. As with all open source projects, they owed us nothing and could have left this to be everyone else's problem and took the extraordinary steps of helping the ecosystem.” Both X40 D-Sec and Ars Technica expected immediate fixes and responses from Starlette. That's not good. We can do better. Michael #2: daily-stars-explorer Explore the full history of any GitHub repository.

rsync's founder came back, patched real security bugs with AI help, and triggered an open source meltdown. Plus, two more projects reject AI-generated code as the community's newest fault line cracks wide open.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:ConnecTen Internet — Get $35 off your order total with Jupiter35

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with returning guest Ekue Kpodar for their third conversation together, covering a wide range of topics at the intersection of technology, geopolitics, and the evolving information age. They dig into Ekue's unconventional setup of running local AI models across roughly 15 computers, the growing case for open source models over closed ones from companies like OpenAI and Anthropic, and how Chinese open source models may be positioned to outcompete Western alternatives on a global scale. The conversation also touches on vibe coding and the democratization of software development, the strategic use of small models for IoT and enterprise applications, the role of Israel and China as dominant players in the information age, and how smaller nations and even individuals may wield outsized power as AI continues to collapse the cost of knowledge work. You can find Ekue Kpodar on X @ekpodar and LinkedIn.Timestamps00:00 Stewart welcomes Ekue for their third episode, diving into vibe coding and AI-driven development changes.05:00 Ekue explains using Claude on Chrome to auto-reply on Skool, burning tokens through screenshots, and Playwright as a more efficient alternative.10:00 Stewart describes his Claude-dependent planning and coding agent system breaking after a model update, prompting him to build his own chatbot.15:00 Small models discussed as critical for IoT, defense, and privacy-focused enterprises building internal APIs instead of routing traffic to OpenAI.20:00 Open source versus closed source debated, with Chinese models gaining global traction while US foundational labs remain expensive and restrictive.25:00 SaaS apocalypse explored as AI commoditizes knowledge work, with Linux and Terraform cited as proof open source still generates wealth.30:00 OpenAI's sci-fi terminator fears explained as the reason they stayed closed source, ultimately handing China a strategic open source advantage.35:00 China's economic dumping strategy applied to AI, potentially displacing US model dominance globally the same way manufacturing was disrupted.40:00 Israel's signals intelligence dominance discussed alongside asymmetric warfare, drones defeating tanks, and information control replacing military muscle.45:00 Global information age rankings debated, Israel leading, US and China tied, France and Poland emerging as sovereign tech players.50:00 Qatar, NVIDIA, and Iran cited as proof that rare resources and technology matter more than population size in the 21st century power landscape.Key Insights1. Running local AI models on a network of affordable computers can be more cost-effective than relying entirely on third-party APIs. By using compressed or smaller open source models locally, developers can handle repetitive or lower-stakes tasks without burning through expensive tokens from providers like Anthropic or OpenAI.2. Small AI models are becoming increasingly important for IoT, defense applications, and companies that do not want to send sensitive data to external providers. Organizations can download open source models, run them on internal servers, and build proprietary APIs around them, creating something like an intranet of specialized small models.3. The value created by AI tools is being redistributed away from traditional SaaS companies toward foundational model providers and individual builders. People are canceling subscriptions to software they once paid hundreds per month for, because AI now allows a single person to build comparable tools themselves.4. Open source technology does not eliminate the ability to profit. Linux and Terraform are both open source yet made their creators wealthy. People will still pay for installation, setup, troubleshooting, and customization even when the underlying software is free.5. China is applying its longstanding manufacturing dumping strategy to artificial intelligence by releasing cheap open source models globally, which threatens to erode US dominance in AI the same way Chinese manufacturing undercut other countries for decades.6. In the information age, the size of a country or institution matters far less than its access to rare resources or advanced technology. Qatar, Israel, and NVIDIA each demonstrate that small populations or headcounts can wield enormous global negotiating power through concentrated technological or resource advantages.7. Asymmetric warfare is redefining military power, with inexpensive drones defeating tanks that cost millions to build. This shifts the advantage toward nations that excel at signals intelligence and information management rather than those with the largest conventional military forces.

Josh chats with Sal Kimmich about the current state of everything, and what we can expect next. Sal has some incredible insight into what we can expect to see due to the current wave of security bugs and incidents. There are some new features we will need in both our hardware and software to ward off the state of things. Since those features are years away, what we need in the short term is shoring up our SDLC programs. Sal has some really good medical examples and analogies for this one. It's a huge problem but not insurmountable. The show notes and blog post for this episode can be found at https://opensourcesecurity.io/2026/2026-06-verification-sal-kimmich/

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

Question time again! This month we discuss quite a wide range of topics, such as tracking down printer dots with a USB microscope, the dream of going to SIGGRAPH, the legality of scanning and uploading "lost" old magazines, how to stay objective about new stuff as you get older, steady fan curve strategies for CPU air cooling, how to cope when you find out that cool new open source project was made by AI, renaming files like a pro, and the enduring mystery of ICQ's event sounds. Support the Pod! Contribute to the Tech Pod Patreon and get access to our booming Discord, a monthly bonus episode, your name in the credits, and other great benefits! You can support the show at: https://patreon.com/techpod

You wake up, brew the coffee, open GitHub, and there it is. Another pull request on your open source project. Thirteen thousand lines added. No issue filed first. No discussion. Just "here, please review this for me." Over the past year, GitHub activity has spiked roughly twelve times in a few short months, and a huge chunk of that signal is landing on the same small group of maintainers who were already stretched thin. The curl bug bounty got buried under AI-generated noise. Jazzband, the home of Django classics like pip-tools and the Django debug toolbar, hit what its maintainer called an "apocalypse" and started sunsetting. Even CPython just shipped fresh guidelines on AI-assisted contributions this week. So what does all of this actually look like from the receiving end of the pull request? On this episode, Paolo Melchiorre joins us to tell that story from inside the maintainer's chair. Paolo is a director of the Django Software Foundation, an organizer of PyCon Italy, a Django Girls coach, and he has spent the past year carefully collecting examples of how AI is reshaping open source contributions. The good, the bad, and the extra fingers. We dig into his PyCon US talk on AI-assisted contributions and maintainer load, why AI is best understood as an amplifier rather than a new kind of contributor, the wildly different policies across 86 open source foundations, whether projects banning AI today are reacting to last year's models. Episode sponsors AgentField AI Talk Python Courses Links from the show Guest Paolo Melchiorre: github.com DSF: www.djangoproject.com djangonaut-space: djangonaut.space PyCon Italia: 2026.pycon.it uDjango: github.com My PyCon US 2026 post: www.paulox.net AI-Assisted Contributions and Maintainer Load: www.paulox.net Senior Engineer Tries Vibe Coding: www.youtube.com Code Rabbit AI PR Reviews: www.coderabbit.ai GitHub Usage Graphs: github.blog Update on CPython's AI Policies: fosstodon.org High-Quality Chaos from Curl: daniel.haxx.se The Generative AI Policy Landscape in Open Source: redmonk.com Watch this episode on YouTube: youtube.com Episode #550 deep-dive: talkpython.fm/550 Episode transcripts: talkpython.fm Theme Song: Developer Rap

(0:00) Bill Gurley joins the show! (6:00) Making yourself valuable in the age of AI, first class of "AI Natives" (17:37) Reacting to Pope Leo's AI encyclical: Who guards the guardians? (26:54) Anthropic's Digital God: Do they believe they are creating a superior species? (38:32) AI sovereignty, the next era of privacy, open-source crackdown coming? (59:56) The Great AI Jobs Debate: Dario and Sam Altman flip their rhetoric, Goldman CEO says no AI job apocalypse Follow Bill Gurley: https://x.com/bgurley Apply for Summit 2026: https://allin.com/events Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://www.vatican.va/content/leo-xiv/en/encyclicals/documents/20260515-magnifica-humanitas.html https://www.youtube.com/watch?v=ORFrdYSvzuw https://rdad.org https://www-cdn.anthropic.com/9214f02e82c4489fb6cf45441d448a1ecd1a3aca/claudes-constitution.pdf https://www.youtube.com/watch?v=0GaKJ4Fp2x4 https://allpoetry.com/All-Watched-Over-By-Machines-Of-Loving-Grace https://darioamodei.com/essay/machines-of-loving-grace https://x.com/chamath/status/2059850242779136031 https://x.com/vivekgaripalli/status/2059651390784344491 https://x.com/edzitron/status/2059122774401311095 https://p3institute.substack.com/p/from-open-source-software-to-open https://www.theinformation.com/newsletters/the-briefing/anthropic-likely-generating-least-35-revenue-openai https://www.theverge.com/tech/930447/microsoft-claude-code-discontinued-notepad https://x.com/Polymarket/status/2060034216906068131 https://x.com/savipww/status/2060070450785305030 https://www.nytimes.com/2026/05/22/opinion/ai-job-crisis-goldman-sachs.html https://fortune.com/2026/05/26/sam-altman-dario-amodei-walking-back-ai-jobs-apocalypse-prophecies-ipo https://fortune.com/2026/05/05/dario-amodei-jevons-paradox-will-ai-wipe-out-white-collar-jobs https://www.entrepreneur.com/business-news/jack-dorseys-block-cuts-4000-jobs-critics-claim/503108

We’re entranced in Molly Crabapple’s reanimation of the Jewish Labour Bund in Europe and Russia, of a century ago. Yiddish Socialism was a nickname. You could plausibly describe that old Bund as forgotten but not ... The post Here Where We Live Is Our Country appeared first on Open Source with Christopher Lydon.

David George, General Partner at a16z, and David Clark, CIO at VenCap, discuss how AI is reshaping venture capital and the technology industry itself. They examine why today's AI companies are scaling faster than any previous generation of startups, and why the eventual outcomes may be significantly larger than most investors currently expect. The conversation covers frontier AI models, coding agents, open source competition, data center constraints, and who ultimately captures value in the AI ecosystem. They also discuss what these shifts mean for venture capital itself, including larger company outcomes, faster value creation, and the growing challenge of identifying durable winners in a market evolving at unprecedented speed.   Resources: Follow David George on X: https://x.com/DavidGeorge83 Follow David Clark on X: https://x.com/daveclark85 Follow VenCap on X: https://www.vencap.com   Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Are we prepared for the massive socio-economic divide of the looming quantum computing era?In this deep-dive episode of The Edge of Show, sponsored by Datavault AI, we welcomed Nathaniel Bradley, CEO and co-founder of Datavault AI. A prolific inventor holding over 70 patents , Bradley unpacks the shift from binary computing to quantum light computing, and what it means for human talent, data sovereignty, and security.Discover how Datavault AI is building the ultimate "toll booth" for digital assets. And how they outline their agnostic blockchain framework, which allows corporations to manage, evaluate, and monetize data using NASDAQ-backed systems. Also discover a groundbreaking perspective on robotics: introducing high-definition audio and wireless interoperability to give robots a universal communication layer.If you want to know how blockchain, AI, and quantum keys are turning data from a cost center into a massive revenue generator, this episode is a must-watch.Support us through our Sponsors! ☕ Want to make content like ours? Sign up with Castmagic to make your creative process easy: https://bit.ly/CastmagicReferral Work smarter, grow faster. Automate your SEO, get AI insights, and manage all your clients in one place with Helm. Start today 50% off your first month at helmseo.com