Podcasts about GitHub

HTTP QUERY Method: The Grey Zone Between GET and POST https://isc.sans.edu/diary/HTTP%20QUERY%20Method%3A%20The%20Grey%20Zone%20Between%20GET%20And%20POST./33352 Simple MacOS Docker Escape https://www.accomplish.ai/blog/escaping-dockers-hypervisor/ CVE-2026-77179 Brevo ClickFix Compromise https://status.brevo.com/incidents/01M2QBC4EZ24ZACW6SWQYVW8N3/write-up LastPass (and other) lookalike GitHub Repo and Kernel Module Infostealer https://blog.lastpass.com/posts/lastpass-delphos-report-rapuncel-infostealer My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

Higgsfield says it open-sourced its 5.4 billion dollar app. It's fake. We went into the GitHub and all you get is a thin UI that calls their paid API. No weights, no training, no way to build anything without paying them. We break down what they actually released and how creator networks make a launch like this look organic. Then a miracle: Neuralink restored speech for a man who lost it to ALS, and we show him talking to his wife by thought alone. And Figure's Helix 2.5 sends robots into 30 homes they have never seen to make beds and fold laundry, impressive, slow, and it raises the question of who pays when one throws out your jewellery.Try Autodesk Flow Studio:http://flowstudio.comSources:1. Higgsfield open source claim and API- https://x.com/higgsfield/status/2100629811131826198- https://www.instagram.com/p/DdZ1kHrAcwx/?img_index=1- https://x.com/alexmashrabov- https://x.com/gpumaxxer/status/2100307886408912985- https://x.com/pika_labs/status/2100470618760298546- https://x.com/thatdesignpro/status/21009103144893277562. Neuralink restores speech for Terry- https://x.com/neuralink/status/2100993363403063404- https://x.com/neuralink/status/21003420840119788963. Figure Helix 2.5- https://x.com/Figure_robot/status/2100657350952779925

Security researchers used Claude to hack into OpenAI's private code repository through a bug bounty program, OpenAI launched Astra for Law for select firms, Anthropic redesigned Claude projects to run parallel agent threads, and opened a Bay Area biology lab. Security researchers in an OpenAI bug bounty program hacked OpenAI, accessing its "monorepo" on GitHub, using a cybersecurity version of Opus 4.8 and Opus 5 (The Wall Street Journal) OpenAI launches Astra for Law, combining GPT-6 Astra with a legal search index and instructions for legal analysis and writing, initially for select law firms (OpenAI) SiliconANGLE reports Astra for Law passed 54% of legal-research benchmark questions versus 38.7% for base GPT-6 Astra, launches with 26 partner-built plugins connecting Relativity, Clio, and iManage, and brings ChatGPT for Word to general availability (SiliconANGLE) Anthropic redesigns Claude projects, letting users describe work in one conversation and have Claude manage it across parallel threads, starting in Claude Code (Anthropic) The Verge reports each project thread runs as its own Claude Code cloud session on a separate repo branch, with a coordinator resolving overlapping work as merge conflicts, and beta access starting today for select Claude Pro and Max subscribers (The Verge) Anthropic Life Sciences Head Eric Kauderer-Abrams says the AI company set up a Bay Area wet lab for physical biology work, as it pushes into AI disease research (Reuters) Longreads Theoretical computer scientist Scott Aaronson says he's heard rumors that AI labs are sitting on major unpublished math solutions, and describes a mathematics community consumed by anxious conversation about the "AI tsunami" after the hostile response to a recent Navier-Stokes proof (Shtetl-Optimized) The FT reports the AI boom is fueling a resurgence in VC bets on "moonshot" sectors like nuclear fusion and brain-computer interfaces, as Dealroom data shows non-AI deep-tech funding has topped $150B since the start of 2024 (Financial Times) Subscribe to the ad-free feed.

UPDATE: Blog version here https://theneuron.ai/explainer-articles/github-for-beginners-how-to-use-it-with-ai-coding-agents/GitHub can feel intimidating if you didn't come up as a developer, especially now that AI coding agents can build software before you've learned what a repo, branch, or pull request even is.That's why The Neuron is going LIVE with Cassidy Williams from GitHub for a beginner-friendly walkthrough of how GitHub actually works.

Control Plane CEO Doron Grinstein joins me to discuss how they've created an AI-native cloud API that virtualizes multi-cloud and hybrid cloud to simplify management and ship faster.Watch the video of this episode.

Substackで配信前にその日のリサーチ結果をお届けします。https://wbnlive.substack.com/「Jev」話さない意志決定特化AIを徹底解説 / OpenAI「Astra for Law」と業種特化AIの全体像 / Snap、2,195ドルのARグラス「Specs」 / Figure Helix 2.5 をKinjoがお届けし、12:30からイケハヤさん(AIでゲーム「月蝕綺譚」を開発、あす19日リリース)をゲストに迎えます。▼ きょうのラインナップ(放送順)1. 【深掘り】「Jev」、話さないAIでブラウザ操作が7秒2. OpenAI「Astra for Law」、業種特化AIの全体像3. Snap、2,195ドルのARグラス「Specs」発売4. Figure Helix 2.5、家庭で成功率9→56%5. 国内ロボ3件: 三菱重工×PFN、アトム、トヨタ6. 【深掘り】イケハヤ｜AIでゲーム「月蝕綺譚」を作る▼ 出演KinjoX: https://x.com/illshinイケハヤ＠「月蝕綺譚」開発X: https://x.com/IHayato▼ きょうの主要ソース(一次情報)TypeSafe公式ブログ(Jev発表): https://typesafe.ai/blog/introducing-system-one-models-and-jevBrowser Use jev-ultrafast(GitHub): https://github.com/browser-use/jev-ultrafastOpenAI(Astra for Law): https://openai.com/index/astra-for-law/LawSites: https://www.lawnext.com/2026/09/openai-releases-astra-for-law-a-gpt-6-model-configured-for-legal-work.htmlTechCrunch(Snap Specs): https://techcrunch.com/2026/09/16/snap-tries-to-make-the-case-again-for-its-2200-smart-glasses/Snap Newsroom: https://newsroom.snap.com/specs-launch-dateFigure公式ブログ: https://www.figure.ai/news/helix-2-5-zero-shot-30-home-generalizationAdcock CEOのX投稿: https://x.com/adcock_brett/status/2100657392056947066PFN公式(三菱重工の出資): https://www.preferred.jp/ja/news/pr20260916ITmedia: https://www.itmedia.co.jp/aiplus/article/2609/17/2000001563/月蝕綺譚 公式: https://vibe.co.jp/luna-occultaイケハヤ Substack: https://ihayato.substack.com/p/ai-28f※ 番組内の数字は放送時点の公開情報・報道に基づきます。ドルの円換算は1ドル=160円の概算です。WBNは平日毎日12:00から、AI・テック・スタートアップのニュースをライブでお届けしています。フォローしておくと、毎日の放送が自動で届きます。

California’s November 2026 ballot carries one of the most consequential financial decisions in the state’s history. Marketed as a one-time 5% billionaire tax, Proposition 40 has drawn serious scrutiny from economists and policy researchers. Among those leading the charge in examining its true implications is Benjamin Jaros, a PhD economist and research fellow at Stanford’s Hoover Institution who specializes in public finance, financial economics, and economic history. On this episode of Christopher Lochhead: Follow Your Different, Benjamin Jaros broke down the realities of this proposed tax in ways that challenge the official narrative being sold to California voters. His research, along with that of his colleagues at Hoover, reveals a far more sweeping and dangerous policy than what is being advertised to the public. You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go.   Benjamin Jaros Explains Why This Is America’s First True Net Worth Tax Benjamin Jaros was careful to draw an important distinction when discussing the historical context of wealth taxation in America. While critics on the left point to 19th-century general property taxes as precedent, Jaros clarified that those taxes targeted tangible assets tied to land and physical structures. They ultimately failed to capture intangible assets as corporate incorporation rose in the early 20th century. What Prop 40 proposes is fundamentally different. It would tax an individual’s total net worth, meaning the value of everything you own, whether or not you have sold anything or received any financial gain. This makes it, as Jaros confirmed, the first true net worth tax in American history, a distinction that carries enormous consequences for how assets are legally treated in California.   The Constitutional Vulnerabilities Hidden Inside Prop 40 One of the most revealing parts of Benjamin Jaros’s research involves the serious constitutional challenges that Prop 40 is likely to face if passed. He identified multiple legal fault lines, starting with the retroactive residency clause, which would make the tax effective from January 1st of the previous year, even though voters would not approve it until November. Jaros noted that the bill’s own drafters included severability clauses, signaling they already knew this was a legal vulnerability. Beyond retroactivity, Jaros highlighted major concerns around California’s attempt to tax worldwide assets, including those held by foreign nationals living in the state. The Supremacy Clause of the United States Constitution limits state taxing authority to what the federal government can also reach. California cannot extend its taxing power beyond what federal law permits, which creates significant legal exposure that will almost certainly result in Supreme Court litigation.   Why the “One-Time Billionaire Tax” Story Does Not Hold Up Benjamin Jaros and Christopher Lochhead both zeroed in on what may be the most critical detail buried inside Prop 40. Section 510 of the Billionaire Tax Act allows the California legislature to amend virtually any part of the act with a two-thirds vote, as long as the changes are deemed to further the purposes of the act. That language is broad enough to allow changes to the rate, the threshold, and even the one-time nature of the tax itself. This means that what is being sold as a limited, one-time measure on 200 billionaires could legally be expanded to cover far more Californians over time. Jaros pointed out that the state supreme court, which would adjudicate whether any amendments fall within the purposes of the act, is stacked with appointees who are broadly deferential to legislative decisions. The structural safeguards that voters might assume exist simply are not strong enough to prevent future expansion of this tax down to far lower wealth thresholds.   Bio Benjamin Jaros is an economist and research fellow at the Hoover Institution. He specializes in public finance, financial economics, and economic history, with a focus on federal, state, and local taxation. His recent research examines wealth taxation, budget scoring, taxpayer behavioral responses to income tax changes, state corporate income tax apportionment formula reforms, and colonial-era tobacco tariffs. He produces revenue estimates and fiscal impact analyses of state and federal tax policy. His research and commentary have appeared in The Wall Street Journal, the New York Post, and RealClearPolitics. He has previously worked at the Tax Foundation and served as a research assistant in academic, policy, and private-sector settings. Jaros received his BS in economics, magna cum laude, from Seton Hall University and his MA and PhD in economics from Clemson University.   Links Hoover Institute | Github | LinkedIn We hope you enjoyed this episode of Christopher Lochhead: Follow Your Different™! Christopher loves hearing from his listeners. Feel free to email him, connect on Facebook, X, LinkedIn, and subscribe on Apple Podcast / Spotify!

Aaed Musa joins us to talk about building robot dogs, custom actuators, and his YouTube channel. He shares how he moved from 3D-printing servo robots in his parents' garage to designing capstan drives, and how he uses reinforcement learning to train quadrupedal walking gaits. We also talk about his senior design project (CARA 2.0), his Spider-Man web-shooter build, lessons in storytelling and video editing, and why he's starting a company to bring friendly, expressive quadrupeds into the home.  Aaed Musa is a mechanical engineering graduate from Purdue University, a hardware creator on YouTube, and co-founder of the robotics startup Mecha.  DISCUSSION RESOURCES & LINKS AAED'S CHANNELS & PROJECTS: Aaed Musa on YouTube: Project videos covering quadrupedal robot dogs, Spider-Man web shooters, and custom actuators. Oh, and planetary gears. More detailed project write ups are under projects on his personal site, including CARA 2.0. Github repository Robots Everywhere with Aaed Musa | The Amp Hour ROBOTICS & ACTUATOR TECH: Dyneema DM20: synthetic rope with zero creep used in zero-backlash capstan drives NVIDIA Isaac Sim: simulation and reinforcement learning environment for robotics OpenMV: Very smart MicroPython-powered machine vision modules. Kwabena Agyeman has spoken with us about OpenMV before: 497: Everyone Likes Tiny  477: One Thousand New Instructions 212: You Are in Seaworld SOME YOUTUBE CHANNELS MENTIONED: Good 3d printing youtube channels: 3DPrintingNerd  CNCKitchen  MadeWithLayers  Jeremy_Fielding: great for explaining how things work and coming at engineering from a non engineering direction (Embedded 385: I Just Wanted an Industrial Arm) James Bruton: Robot dogs!  Mark Rober has fantastic storytelling and approachable engineering. Stuff Made Here has robots and gadgets, generally a broad scope of engineering.

Sami talks with Nate Berkopec, owner of Speedshop, about a recent post he made on X and how his business manages to stay ahead of AI and LLMs. Nate stresses the importance of prioritising quality in code in the age of AI, why your knowledge still matters if you want to get the best results from your LLM, how code review has drastically changed over the last three years, and the pair discuss why it's so tough for junior developers to stand out in the industry at the moment and the lengths they have to go to to be noticed. — If you want more out of your project why not get in touch with Nate through his business Speedshop. You can also check out his X post that inspired this episode or connect with him via Linkedin. Your host for this episode has been Sami Birnbaum. Sami can be found through his website or via LinkedIn. If you would like to support the show, head over to our GitHub page, or check out our website. Got a question or comment about the show? Why not write to our hosts: hosts@giantrobots.fm This has been a thoughtbot podcast. Stay up to date by following us on social media - LinkedIn - Mastodon - YouTube - Bluesky © 2026 Giant Robots Smashing Into Other Giant Robots Podcast

AI search is changing how people discover information and how brands need to think about visibility. Daniel and Chris talk with Liam Dunne and Ben Moore, co-founders of Discovered Labs, about the shift from traditional SEO to AI search, what happens behind the scenes when an LLM generates an answer, and why retrieval and citations don't always tell the whole story. They dig into AI visibility, Reddit strategy, query fan-out, representation in model weights, and consensus. They also look ahead to a world where AI agents don't just discover websites, but interact with them and take actions on behalf of users.Featuring: Liam Dunne – LinkedInBen Moore – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:What AI models know about 1,000 B2B SaaS brands before web searchDiscovered LabsSponsors:Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsFramer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

¿Cansado de que tu monitor de uptime consuma más recursos que los propios servicios que monitoriza? Llevaba años usando Uptime Kuma, una herramienta fantástica, potente y muy fácil de configurar. Pero cuando miras el docker stats y ves 150 MB de RAM, 900 MB de disco y un 2% de CPU para monitorizar solo seis páginas, algo no cuadra. Sobre todo cuando lo único que quieres es que te llegue una notificación si algo falla, no tener un mini-Netflix corriendo en tu servidor.Por eso creé Watchbit: un monitor de uptime escrito en Rust con frontend en React, base de datos SQLite embebida y autenticación OIDC con Pocket ID. El resultado: 7 MB de RAM, 20 MB de disco y 0,2% de CPU. Sí, has leído bien. Estamos hablando de reducir el consumo de memoria a una vigésima parte, el de disco a una cuadragésima parte y el de CPU a una décima parte. Y todo esto sin perder funcionalidad: monitores HTTP, TCP, Ping, heartbeats, notificadores vía Telegram, Matrix, NTFY, Gotify, Discord, Email, y páginas de estado públicas.En este episodio te cuento cómo migré de Uptime Kuma a Watchbit, te enseño el dashboard por tarjetas, los heartbeats, los monitores, los notificadores y las 7 razones por las que no pienso volver atrás. También te explico el stack técnico: Rust con Axum y Tokio en el backend, React con TypeScript en el frontend, SQLite como base de datos embebida (adiós a PostgreSQL y MariaDB), y OIDC con Pocket ID para olvidarte de gestionar usuarios y contraseñas. Todo en un solo binario, sin dependencias externas, con una imagen Docker que apenas ocupa 20 MB.Además te muestro cómo configurar los monitores con intervalos personalizados, las plantillas de notificación para eventos de down, up, latencia y expiración de certificados, y el sistema de backup integrado que te permite exportar e importar toda la configuración en un solo clic. También te cuento el proceso de optimización que seguí: inicialmente hacía un bucle que recorría todos los monitores, pero después los separé en tareas independientes con Tokio para maximizar la eficiencia.Si tienes un VPS ajustado, una Raspberry Pi Zero, o simplemente quieres ser racional con los recursos de tu servidor, este episodio te interesa. Porque al final, de esto va el self-hosting: de tener herramientas que hagan su trabajo sin que el servidor se resienta. Como siempre, te dejo el docker-compose, las variables de entorno y las instrucciones en las notas del episodio para que puedas probarlo tú mismo en cinco minutos.Capítulos:0:00 - Introducción: la necesidad de monitorizar páginas web1:54 - Uptime Kuma: características y panel de control4:45 - Ventajas e inconvenientes de Uptime Kuma5:36 - El problema del consumo: CPU, RAM y disco7:05 - Watchbit: OIDC, dashboard y diseño por tarjetas8:43 - Comparativa de consumo: Watchbit vs Uptime Kuma10:53 - Heartbeats y monitores en Watchbit12:37 - Configuración de monitores, notificadores y plantillas14:31 - Ajustes, backup y stack técnico (Rust + React + SQLite)17:26 - 7 razones para migrar e instalaciónMás información y enlaces en las notas del episodio

This week, we take a look at GitHub Enterprise, and why you should care. We talk about features, compliance, licensing, total cost, and preferred setups whether you're a small or large organization. Join us this week to level up your GitHub setup!(00:00) - Intro and catching up.(03:45) - Show content starts.Show links- GitHub pricing- Configuring SAML single sign-on for your enterprise (personal accounts mode)- About Enterprise Managed Users (SAML/OIDC/SCIM partner matrix)- Choosing an enterprise type (personal accounts vs EMU)- Entra ID SSO tutorial - GitHub Enterprise Cloud Organization- Entra ID SSO tutorial - GitHub Enterprise Cloud Enterprise Account- Give us feedback!

How do top engineers still get hired in 2026 when most applicants get ghosted, 120,000 people have been laid off this year, and hiring managers say they can't find talent? A recruiter, a hiring lead, a career coach and an open source engineer explain why your resume is dead on arrival when every CV looks the same, and what actually gets you in the room instead.In this episode, we cover:Why 120,000 tech layoffs and 60,000 open engineering roles exist at the same timeWhy only 20% of LinkedIn messages get a reply, and how to write the ones that doWhy one hiring team bans AI tools in interviews and is building an agentic coding session insteadAdaptability and resilience: the two soft skills that keep you in the roomGetting hired through GitHub, referrals and open source when your CV can't stand outWhether junior engineers still have a path, and which engineering cohort is at risk in 3 to 5 yearsTitles vs scope: how to grow when your title never changesFor software engineers, students about to graduate, and anyone in tech who wants to know what recruiters and hiring managers are actually filtering on right now.Timestamps:00:00:00 - Intro: 1,000 Layoffs a Day00:00:47 - How Bad Is the Tech Job Market in 2026?00:02:05 - Why 120K Layoffs and 60K Open Jobs Don't Add Up00:03:40 - Why AI Tools Are Banned From Interviews00:06:28 - Hard Skills Get You In, Soft Skills Keep You There00:09:20 - "I'm a University Dropout": How GitHub Got Me Hired00:10:18 - CVs Are Too Good Now: Why Referrals Win00:13:04 - How to Get Your Open Source PR Merged00:15:02 - Why 80% of Your LinkedIn Messages Get Ghosted00:16:51 - How Open Source Led to a HashiCorp Job Offer00:19:15 - Is There Still a Place for Junior Engineers?00:22:00 - The Engineers Who'll Be Obsolete in 3 to 5 Years00:24:20 - Should You Contribute to Open Source at All?00:26:05 - AI Skills Required, Algorithms Still Tested00:27:54 - Stop Chasing Titles: Scope, Impact and Owning Your Career#softwareengineering #techjobs #careeradvice

Aujourd'hui, retour sur la panne majeure qui a paralysé GitHub le 17 août dernier pendant près de huit heures. Un incident critique qui remet en question la gestion de la charge et la résilience des plateformes stratégiques. Et sur la base du retex de GitHub, je vous explique tout ça en trois points.La croissance explosive des usages peut terrasser n'importe quel systèmePremier enseignement majeur pour les directions informatiques, la croissance explosive des usages peut terrasser n'importe quel système, aussi robuste soit-il.Le 17 août, GitHub a subi une interruption de près de huit heures touchant l'authentification, les intégrations, les API et Copilot. La cause n'est ni un bug de code ni une erreur de configuration. C'est un pur problème de capacité face à une explosion du trafic.En quatre mois, le volume mensuel de commits sur la plateforme a quasiment doublé, passant de 1,4 à 2,9 milliards. Lorsque la charge a atteint un sommet, les composants du centre de données principal n'ont pas réussi à monter en charge.Mais le vrai piège est venu des clients Copilot : en échouant à se connecter, ils ont déclenché des boucles de réessais massives. Ce phénomène a asphyxié le réseau et bloqué le rétablissement du service.GitHub a dû injecter en urgence plus de trois millions de cœurs de processeursSecond enseignement, l'accélération forcée vers le cloud pour absorber la surcharge.Face à ce pic de charge, l'infrastructure sur site a rapidement trouvé ses limites physiques. GitHub a dû injecter en urgence plus de trois millions de cœurs de processeurs et 120 pétaoctets de stockage.Mais le véritable salut est passé par l'infrastructure cloud d'Azure. La plateforme y a transféré 58 % de sa charge globale et la moitié de ses opérations Git, contre seulement 12 % quelques mois plus tôt.Cette migration massive permet d'envisager une nouvelle architecture capable de faire évoluer la capacité de lecture de manière linéaire avec le nombre d'utilisateurs.GitHub revoit en profondeur son architectureEnfin, troisième enseignement, la refonte drastique des pratiques opérationnelles.L'échelle ne sert à rien si un composant secondaire peut effondrer toute la pile technologique.GitHub revoit donc en profondeur son architecture pour supprimer les dépendances partagées et isoler ses systèmes critiques. Concrètement, cela implique la mise en place de plafonds de réessais, de budgets de requêtes et de délais d'expiration variables pour éviter les réactions en chaîne.Pour les CTO, la leçon est claire : la résilience exige une isolation stricte et une discipline de reprise sans concession.Le ZD Tech est sur toutes les plateformes de podcast ! Abonnez-vous !Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

The Bike Shed is BACK! Aji and Joel kick off this week's episode with a fantastic combination of component bugs and how much headspace they take up, historic heraldry vs ChatGPT'S anchoring bias, before diving into the latest big development of the Dev world, Github's release of stacked PR's. — Read more about Joël's adventure in Europe with ChatGPT, and how to structuring conditionals when working with multi-step forms. Your hosts for this episode have been thoughtbot's own Joël Quenneville and Aji Slater. Don't forget you can now also watch the show over on our YouTube channel! If you would like to support the show, head over to our GitHub page, or check out our website. Got a question or comment about the show? Write to our hosts: hosts@bikeshed.fm This has been a thoughtbot podcast. Stay up to date by following us on social media - LinkedIn - Mastodon - BlueSky © 2026 thoughtbot, inc.

Your data warehouse still thinks a human is on the other end of the query. That's a problem MotherDuck CEO and co-founder Jordan Tigani knows from the inside, having spent years as a founding engineer on Google BigQuery. This week on Dev Interrupted, he joins Andrew to make the case that one warehouse per agent beats the distributed systems he used to work on. He lays out Watertown, his riff on Steve Yegge's Gastown that recasts the data engineer as the manager of a fleet of agents, and walks through how MotherDuck's Flights, Dives, and just-launched Guides keep pipelines, visualizations, and business context as code reviewed in GitHub. Get the guide: Your software factory needs a context layerFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:MotherDuck: The DuckDB-powered data warehouse built for small data and agents at motherduck.comWater-Town: Read Jordan's take on the agent swarm data stack, his riff on Gastown, at motherduck.com/blogFlights: Learn how MotherDuck turns data ingest into scheduled Python scripts your agents can write at motherduck.com/blogDives: See how MotherDuck replaced its BI tool with LLM-written TypeScript visualizations at motherduck.com/blogGuides: Read the docs on MotherDuck's new Markdown context layer for agents at motherduck.com/docsMotherDuck Blog: Keep up with all things MotherDuck at motherduck.com/blogMotherDuck Community: Join the community Slack at community.motherduck.comConnect with Jordan: LinkedIn | XOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Dollar Tree's everyday basics grew almost 6% last quarter. The discretionary side, toys and seasonal and party goods, grew under 2%. Dollar Tree and Dollar General reported the same day, and both chief executives worked hard to tell analysts the spread doesn't mean what you think it means. Dollar General credits its share gains to households making over $100,000 a year and raised full year guidance. Rick's read is that a retailer winning because the economy is bad has borrowed the quarter and pays it back later. The more durable move is the $1 frozen set sitting on top of DG Fresh, because a dollar store with a working cold chain is a grocery store in places that don't have one.Costco shut down the Costco Next marketplace at the end of August, over a weekend, with no notice. Members who bought through it can no longer return the item to Costco. Customer service hands them a vendor phone number. The last thing Costco said publicly about Next was on the third quarter call last May, when CFO Gary Millerchip said a single quarter's sales matched the program's entire fiscal 2022. There has never been a dollar figure for Next in any filing, and a growth rate without a denominator is what you hand analysts when the absolute number is small. Fourth quarter and full year results land September 24.Greg Foran is rebuilding Kroger with the people he ran Walmart US with. Nate Faber, who cofounded Jet.com and ran supply chain for Walmart's US eCommerce, started as eCommerce chief September 1. Mark Ibbotson, formerly central operations at Walmart and COO at Asda, starts in stores today. Earnings landed between the two start dates. eCommerce grew 20% and turned a profit for a second straight quarter. Identical sales excluding fuel grew two tenths of 1%, and the full year outlook for that measure got cut. Foran called the price work a glide path funded by cost savings rather than margin, which raises the question of what actually pays for it when almost all of roughly $147 billion in revenue is food, operating profit is a little over 3 cents on the dollar, and more than 400,000 associates work under UFCW contracts.Anthropic published a commerce agent blueprint on September 2, a public GitHub repo with two working reference builds, one shopping agent and one merchant agent. The company says retailers running these see carts up to 35% larger and shoppers 60% more likely to complete a purchase. Those numbers come from the vendor giving the code away, with no baseline and no outside auditor. The blueprint is also silent on payment. Visa and Mastercard are quoted in the announcement talking about trust, and neither shipped code. Shopify's Vanessa Lee says they're building a reference storefront connecting the blueprint through catalog, the universal commerce protocol, and Shop sign-in, which puts Shopify's own login layer inside someone else's agent framework. Somebody could run this in production before December and find out what a 35% lift looks like when it's measured by a party that didn't build it.Plus the Investor Minute with four raises: Locus Robotics Series G, Atorie in seed, Advizar pre-seed, and Overroute in seed.The Watson Weekly podcast is sponsored by Avalara. Learn more at: avalara.watsonweekly.com#watsonweekly #dollartree #costco #kroger #anthropic #ecommerce

In this week's episode, James and Frank dive deep into how their approach to working with AI models has fundamentally shifted over the past few months. We explore a game-changing realization: you don't always need the most expensive, powerful model for every task. Instead, they share a strategic two-part workflow—using high-reasoning models for deep research and planning (generating comprehensive documentation and analysis), then switching to tiny, blazingly-fast models like Baby Luna or MAI Code 1.1 Flash for implementation, cutting costs by 90-95% while maintaining nearly identical results. But the real breakthrough is HydraFusion, GitHub's new multi-model orchestration runtime that automatically selects the optimal execution pattern (single model, cascade of models, or independent critique model) for each request. The hosts reveal how this technology delivers Opus-level code quality at 70% lower costs while freeing developers from the constant task of model and reasoning selection. Whether you're concerned about AI costs, frustrated with benchmarking confusion, or curious about the next evolution in AI-assisted development, this episode reveals practical strategies to work smarter with models—and introduces a technology that could reshape how developers collaborate with AI entirely. Follow Us Frank: Twitter, Blog, GitHub James: Twitter, Blog, GitHub Merge Conflict: Twitter, Facebook, Website, Chat on Discord Music : Amethyst Seer - Citrine by Adventureface ⭐⭐ Review Us ⭐⭐ Machine transcription available on http://mergeconflict.fm

Andrew welcomes back Constantin Hager, a senior systems engineer, PowerShell User Group organizer, and brand new Microsoft MVP. They open by revisiting Constantin's infamous "size of a finger" intro from his first appearance, then dig into his talks at PSConfEU this year on dev containers with GitHub Codespaces and on Maester, the testing framework for M365 and on-prem AD. A quick detour into the GitHub vs. GitLab vs. Codeberg debate leads into the main event: a deep breakdown of Microsoft365DSC, what it actually does, how it treats M365 tenant settings like Intune, Entra, and Exchange as idempotent, drift-monitored code, and how the M365DSC Workshop wraps the notoriously painful setup process into a lab folder anyone can run. They cover the workshop's multi-tenant design, its DSC Community roots, and the honest limitations, like settings that still aren't exposed through public APIs. Constantin also shares his organic path to becoming an MVP, updates on his user group's shift to English-language talks, and a heads up on an upcoming blog series diving deeper into M365DSC. They close with news on the free PSConfEU MiniCon, happening October 13th with the CFP open until September 25th. Key Takeaways: Microsoft365DSC turns M365 tenant configuration into idempotent, drift-monitored code, and the M365DSC Workshop exists specifically to make the notoriously painful setup process approachable through a ready-to-run lab folder instead of a hundred-page whitepaper. Not everything in M365 is automatable yet. Settings without a public API (some Copilot controls, for example) still require manual portal fixes or an interactive token, so full automation has real gaps today. Constantin's MVP award grew out of years of showing up, organizing his user group, speaking at conferences, and opening GitHub issues, not out of being the loudest voice in the room. Guest Bio: Constantin Hager is a senior systems engineer based in Germany, organizer of the PowerShell User Group Inn-Salzach, and a newly awarded Microsoft MVP. A returning guest of the podcast, he's known for his enthusiasm around dev containers, PSFramework, and now Microsoft365DSC.   Resource Links: Constantin Hager on LinkedIn https://www.linkedin.com/in/constantin-hager/ Constantin's blog, The IT Guide https://the-itguide.de Andrew's blog: https://andrewpla.tech PowerShell User Group Inn-Salzach (Meetup) https://www.meetup.com/de-DE/powershell-usergroup-inn-salzach/ Maester (M365 and Entra security testing framework) https://maester.dev/ Microsoft365DSC official site https://microsoft365dsc.com Microsoft365DSC on GitHub https://github.com/microsoft/Microsoft365DSC M365DSC whitepaper and CI/CD pipeline scripts https://github.com/ykuijs/M365DSC_CICD DSC Community https://dsccommunity.org PSConfEU https://psconf.eu PSConfEU MiniCon Call for Papers (Sessionize) https://sessionize.com/psconfeu-minicon/ PDQ Discord https://discord.gg/PDQ The PowerShell Podcast on YouTube: https://youtu.be/Vy4kaayGT2M  

"On est revenu au mode où le coût du mot va coûter très cher et de plus en plus cher,." Le D.E.V. de la semaine est Patrick Szymkowiak, fondateur de RTK. Il revient sur la genèse fulgurante de Rust Token Killer, un projet open source passé en quelques mois de l'expérimentation à des dizaines de milliers de stars sur GitHub. On creuse l'enjeu grandissant du coût des tokens et la nécessité d'optimiser l'usage des LLM, notamment pour garantir l'accessibilité et la sécurité des outils IA dans l'entreprise. Patrick partage aussi sa vision : demain, devs et non-devs utiliseront ces briques pour transformer leurs métiers, à condition de garder la main sur l'infrastructure. Et il souligne la dimension communautaire, clé du succès et de l'évolutivité de RTK.Chapitrages00:00:54 : Le coût des mots00:01:53 : Naissance de RTK00:03:22 : L'étincelle du token00:06:52 : Déterminisme et benchmarks00:10:13 : Pourquoi ça cartonne00:14:38 : Au-delà de Cloud Code00:18:45 : Pourquoi Rust00:21:06 : Mieux comprimer le contexte00:24:39 : Mesurer la compréhension00:26:57 : Résumer sans perdre le sens00:29:00 : La marée des PR00:35:01 : La guerre du token00:38:44 : L'avenir de RTK00:43:18 : Le token comme KPI ?00:46:28 : Les rituels de fin Liens évoqués pendant l'émission 1984 de Georges Orwell

Hoy te traigo un episodio que llevaba tiempo queriendo grabar. En el episodio 829 te hablé sobre skills, pero me quedé con la sensación de haberme enrollado sin mostrar nada concreto. Así que le he dado la vuelta a la tortilla y en esta ocasión te traigo siete MCPs que he seleccionado uno a uno para que veas de qué va esto del Model Context Protocol y, sobre todo, para que compruebes cómo transforman lo que puede hacer tu inteligencia artificial.Porque hay que decirlo claro: la IA es tonta. Literalmente. No sabe qué hora es, no sabe leer un archivo, no sabe si tienes issues abiertos en GitHub, no sabe cómo te llamas. Cada vez que empiezas una conversación con cualquier modelo de lenguaje, empiezas de cero. Y aquí es donde entran los MCPs, que no son ni más ni menos que herramientas: manos, ojos y oídos para que la IA pueda hacer cosas útiles de verdad.El Model Context Protocol es un estándar abierto creado por Anthropic que funciona como un *USB-C para la IA*. Un conector universal que permite que cualquier aplicación de IA se conecte con cualquier fuente de datos o herramienta externa. Y lo mejor es que no es propietario, al contrario que los plugins de ChatGPT. Cualquiera puede crear un MCP, y de hecho te cuento cómo hacerlo con Python o Rust.En este episodio repaso siete MCPs que uso en mi día a día. Empiezo por el Filesystem, que permite a la IA leer, escribir, buscar y editar archivos en tu sistema, con control de acceso para que no haga tonterías. Sigo con el SQLite, ideal para consultar bases de datos locales de agenda, finanzas o cualquier aplicación que uses. Después llega el GitHub, el servidor oficial de GitHub escrito en Go, que te permite gestionar issues, pull requests, repositorios y mucho más sin salir del chat.También te hablo del Web Fetch, que permite a la IA leer páginas web y convertirlas a Markdown ahorrando una barbaridad de tokens. Y del Time, que es una tontería pero imprescindible: la IA puede saber la hora en cualquier huso horario del mundo. Luego está el Memory, que construye un grafo de conocimiento persistente para que la IA recuerde quién eres, qué prefieres y qué proyectos tienes entre manos, incluso entre sesiones. Y por último, el Sequential Thinking, una herramienta de razonamiento paso a paso que obliga a la IA a pensar de forma estructurada cuando se enfrenta a problemas complejos.También hablo de cómo configurar estos MCPs en OpenCode, Claude Desktop y VS Code, y cuánto consumen de RAM y tokens. Porque no es lo mismo activar veinte servidores que tener solo los que necesitas. Y para rematar, comparo MCPs con skills: las skills le dicen a la IA cómo comportarse, los MCPs le dan capacidades para actuar.Y si te pica la curiosidad por crear tu propio MCP, también te cuento las diferencias entre usar el SDK de Python (súper rápido de prototipar) y el de Rust (más rendimiento, menos consumo de RAM).Capítulos del episodio:0:00 - Introducción: la IA necesita herramientas para ser útil2:30 - ¿Qué es MCP? Arquitectura host-cliente-servidor y JSON RPC 2.05:30 - Cinco razones para adoptar MCPs8:00 - MCP Filesystem: leer, buscar y crear archivos11:00 - MCP SQLite: consultar bases de datos y el no-determinismo14:00 - MCP GitHub: issues, pull requests y repositorios17:00 - MCP Web Fetch: búsquedas en internet con ahorro de tokens19:30 - MCP Time: la hora en cualquier huso horario21:30 - MCP Memory: grafo de conocimiento persistente23:30 - MCP Sequential Thinking: razonamiento paso a paso25:30 - Configuración en OpenCode, consumo de tokens y RAM27:30 - Crear tu propio MCP: Python SDK vs Rust28:30 - Cierre y despedidaMás información y enlaces en las notas del episodio

Brian and Aaron interview Gavriel Cohen, co-founder and CEO of Nanoco and creator of the open-source agent framework NanoClaw, about securing AI agents in enterprise environments. Cohen shares how he built NanoClaw after discovering major security and safety gaps while using agents for an AI native marketing agency, and how the project grew to over 30,000 GitHub stars and over half a million downloads. They discuss why Fortune 500s, financial institutions, universities, and government groups feel urgent pressure to adopt agents but are blocked by control, privacy, and security concerns. Cohen outlines a zero-trust approach using microVM isolation, no credentials inside agent environments, a policy-enforcing gateway with granular controls, audit logs, cost attribution, and human-in-the-loop approvals at key decision points.SHOW: 1062SHOW TRANSCRIPT: The Enterprise AI Show #1062 TranscriptSHOW VIDEO: https://youtu.be/h906EEQSRs8SHOW LINKS:NanoClaw on GitHubNanoCo homepageTechCrunch: The wild six weeks for NanoClaw's creator that led to a deal with DockerThe New Stack: Gavriel Cohen found his own code inside OpenClaw, so he walked awayOpenAI: The Hugging Face incident and the road aheadSHOW SPONSORS:Nasuni - Activate your data for AI and request a demoNordLayer - Use ENTERPRISE10 for 10% offGUEST BIO:Gavriel Cohen is co-founder and CEO of NanoCo, and creator of NanoClaw, the open-source agent harness he built as a small, auditable, secure alternative to OpenClaw. He spent a decade as a developer and team lead at Wix before building NanoClaw in a weekend, a project that has since drawn a Docker integration and an outside security review. He holds a BSc in Physics and Computer Science from Tel Aviv University.FEEDBACK?Email: show @ the enterprise ai show dot comBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

Anthropic has moved into commerce. On September 2 it put an open-source blueprint on GitHub for building a shopping agent and a merchant agent on Claude, with demo builds for retail, travel, telecom and ticketing. Rick Watson and Jessica Lesesky have about 50 years of e-commerce experience between them. By their count, the co-authors behind Anthropic's commerce memos add up to roughly four.Anthropic says pilot customers saw carts up to 35% larger and 60% more completed purchases. Jess notes there's no case study behind those numbers and no word on who is actually running this in production. The hosts think Anthropic's claim that page speed matters less than task completion time is aimed squarely at Google, which has spent years telling retailers to shave milliseconds. Rick's bigger problem is peak season. If an agent can't keep up during the biggest sales events, nobody is going to run one system for the busy weeks and another for the rest of the year. Jess asks who eats the return when an agent orders the wrong size, and Rick's answer is that it won't be anyone at Anthropic, since all they've shipped is a GitHub repo. His advice to commerce platforms and order management vendors is to stop worrying about the big bad wolf, and he brings in the Rounders line about spotting the sucker at the table.The back half gets darker. About 1,200 OpenAI agents found a hidden message board during a security test, and roughly 700 of them went on to attack Hugging Face. Then Jacob Coxon resigned from Anthropic saying the people building AI believe it could kill us all by the end of the decade, and Anthropic's alignment lead Evan Hubinger put his own odds above 10%. Rick says Manhattan's e-bike delivery riders scare him more. Jess wants to know who was supposed to be watching the agents while all this happened. Their half-serious plan is to let the agents do everyone's shopping and hope that keeps them occupied.The Watson Weekly Weekend episode is sponsored by Avalara. For more: avalara.watsonweekly.com#watsonweekly #anthropic #agenticcommerce #aishopping

In this talk, Philip Christos, Associate at M2VC, shares his expertise in frontier AI investing from his early days as a data analyst to evaluating cutting-edge deep tech startups. We explore how AI agents are reshaping modern work, the realities of venture capital in the LLM era, and why the future of software engineering relies more on high-level systems thinking than writing syntax.You'll learn about:- How venture capitalists formulate AI investment strategies and evaluate startup pitch decks.- The rapid adoption of AI in software engineering compared to traditional sectors like accounting.- The crucial difference between data progress and algorithmic progress in frontier models.- Why LLMs still struggle with high-level software architecture, business logic, and design "taste."- How AI is accelerating iterations and breakthroughs in classical engineering and scientific research.- What specific deep tech and AI infrastructure ideas are actually attracting VC funding today.TIMECODES:00:00 Venture Capital Career Journey05:14 VC Analyst vs Data Analyst Roles10:13 AI Investment Thesis Strategy16:00 Emotion Analytics and Voice AI Startups22:09 LLM Impact on Venture Capital28:19 Software Engineering AI Adoption34:18 Data vs Algorithmic AI Progress40:15 Classical Engineering AI Acceleration46:12 Software Architecture AI Limitations51:11 Future Software Engineering Careers57:55 Systems Thinking in DevOps1:03:00 Pitching Deep Tech StartupsThis talk is perfect for software engineers, AI founders, and technical product managers who want to understand the evolving tech job market and venture landscape. It provides essential insights for anyone looking to build VC-backed AI startups or future-proof their career as AI coding tools become ubiquitous.Connect with Philip- Linkedin - https://www.linkedin.com/in/philipchristos/- Twitter - https://x.com/phil_christos- Website - https://t.me/stacked_channelConnect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/

A weekly live show covering all things Freedom Tech with Max, Q and Seth.Thanks to Jordan for joining us to walk through Ashigaru Desktop live on air. Jordan built a full graphical desktop wallet on top of Ashigaru Terminal, bringing Whirlpool mixing to a wider audience with a guided tour for newcomers, a dice-based EFF passphrase generator, in-app software verification against his BIP47 payment code, and the ability to mix straight to cold storage using an output descriptor. We watched a full mix go through in real time, explored the Mix To feature for sending post-mix funds directly to a Passport Prime wallet, and talked through bad bank, pool fees, and keeping KYC and privacy stacks separate.Download Ashigaru Desktop and follow the project on GitHub: https://github.com/linkinparkrulz/ashigaru-desktop/releasesLearn more about Ashigaru Terminal and get the download: https://ashigaru.rs/download/Check pool activity at https://whirlpoolstats.xyz/ and connect Passport to software wallets: https://docs.foundation.xyz/passport/connect/HELP GET SAMOURAI A PARDONSIGN THE PETITION ----> https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools DONATE TO THE FAMILIES w/ USD ----> https://www.givesendgo.com/billandkeonneDONATE TO THE FAMILIES w/ BTC ----> https://pay.zaprite.com/pl_JpxtkLv95T SUPPORT ON SOCIAL MEDIA ---> https://billandkeonne.org/TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateVALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ungovernable- BUY SOME STICKERS @ https://ungovernable.network/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.

A data-driven investigation on how September is a dangerous month for bikers in Wisconsin, a novel look at the distribution of castles across the globe, and the fundamentals behind an influential analysis method commonly used in experimental designs.Episode Links This week's curator: Jonathan Kitt - @jonathankitt.bsky.social (Bluesky)Madison bike crashes peak in SeptemberAn Atlas of StoneRepeated measures ANOVA in REntire issue available at rweekly.org/2026-W37Supplement Resources Madison Bikes https://www.madisonbikes.orgTidy Tuesday Castlemap dataset https://github.com/rfordatascience/tidytuesday/tree/main/data/2026/2026-09-01Deepali's GitHub repository https://github.com/deepdk {rstatix}: Pipe-friendly Framework for Basic Statistical Tests in R https://rpkgs.datanovia.com/rstatix/Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.A new way to think about value: https://value4value.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)Mike Thomas: @mike_thomas@fosstodon.org (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter) Music credits powered by OCRemixRelm's Weepy Loop - Final Fantasy 6 - MkVaff - https://ocremix.org/remix/OCR00178Cammy's London Drizzle - Super Street Fighter II: The New Challengers - MkVaff - https://ocremix.org/remix/OCR00453

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ANTIC Episode 130 - The Tongue-Twister Episode In this episode of ANTIC The Atari 8-Bit Computer Podcast… We trip all over our own tongues trying to bring you all the news fit to print in the Atari 8-bit computer world… READY! Recurring Links  Floppy Days Podcast  AtariArchives.org  AtariMagazines.com  Kay's Book "Terrible Nerd"  New Atari books scans at archive.org  ANTIC feedback at AtariAge  Atari interview discussion thread on AtariAge  Interview index: here  ANTIC Facebook Page  AHCS  Eaten By a Grue  Next Without For  What we've been up to Diskmenu manual - archive.org/details/apx-diskmenu-manual  30th anniversary of Classic Computer Magazine Archive - AtariMagazines.com:  Discussion - https://forums.atariage.com/topic/391744-30th-anniversary-of-classic-computer-magazine-archive/  Atari Yahoo Groups archives: https://archive.org/details/@savetz?query=atari+yahoo+group  https://archive.org/details/@savetz?query=identifier%3Ayahoo-group*&and%5B%5D=mediatype%3A%22texts%22  Atari Usenet group archive additions - https://archive.org/details/ANTIC_podcast_extras?tab=collection&query=usenet  MPP MicroportXL board manual - https://archive.org/details/Supra_Microport-XL_for_Atari_manual  New Atari Legacy magazine -  ​​https://atarilegacy.com/  Recent Interview Shows  Interview index:  here  https://ataripodcast.libsyn.com/antic-interview-459-mike-lorenzen-atari-program-text-editor-pitfall-ii  https://ataripodcast.libsyn.com/antic-interview-460-tim-jenkins-cheating-at-roulette  ANTIC Interview 461 - James W. Burley, APX Data Base/Report System  ANTIC Interview 462 - Bob Fraser, APX Insomnia, Supersort, De Re Atari  https://forums.atariage.com/topic/392145-bob-fraser-disk-trove/  New & Updated Games AstroSmasher!, Atari 8-bit computer game made with AI inspired by Intellivision's classic title Astrosmash! - by gimmee99 -  https://forums.atariage.com/topic/391594-saturday-fun-astrosmasher/  Texas Hold 'Em - MultiPlayer Game by MassiveRobot - https://forums.atariage.com/topic/391615-texas-hold-em-multiplayer-game/  FujiRealm Playable Demo MORPG Released for FujiNet by mozzwald - https://forums.atariage.com/topic/391580-fujirealm-playable-demo-morpg-released-for-fujinet/  New & Updated Software FujiLink — A FujiNet Driver for SpartaDOS X 4.50 by Piotr D. Kaczorowski - https://forums.atariage.com/topic/391472-fujilink-%E2%80%94-a-fujinet-driver-for-spartados-x-450/  Kat5200 emulator - https://t.co/HH0p6DtNaO  Mailbox protocol adapter with GMAIL and IMAPS support by Thom Cherryhomes - https://forums.atariage.com/topic/391551-mailbox-protocol-adapter-with-gmail-and-imaps-support/  FujiGPT - an LLM client for Atari FujiNet by HanJammer: https://forums.atariage.com/topic/391346-fujigpt-an-llm-client-for-atari-fujinet/  https://github.com/HanJammer/FujiGPT  ATRaction – ATR/XFD image manager - https://forums.atariage.com/topic/392013-atraction-%E2%80%93-atrxfd-image-manager/  d/BASIC for d/OS - Raj S Madugula - https://forums.atariage.com/topic/392300-intro-to-king-dos-atari-130xe-a8picocart-and-me-60fps/  Publications Atari Insights - https://www.ataribasics.com  Compute's Gazette - https://www.computesgazette.com  End of the rainbow https://amzn.to/3RZSV6z  Atari Projects:  https://atariprojects.org/2026/06/28/benchmark-your-atari-8-bit-computers-using-basic-15-30-mins/  https://atariprojects.org/2026/07/04/learn-about-scanlines-using-peek-in-atari-basic-5-10-mins/  https://blog.archive.org/2026/08/27/a-computer-history-time-capsule/  New & Updated Hardware JUST_POKEY from Lotharek: https://forums.atariage.com/topic/391270-just_pokey-from-lotharek/  https://lotharek.pl/productdetail.php?id=431  The Company That Calls Itself Atari https://kotaku.com/atari-and-universal-sign-movie-deal-for-10-video-game-adaptations-including-pong-asteroids-and-missile-command-2000719087  Other Jeffrey Stanton died  https://smmirror.com/jeffrey-stanton-leading-venice-beach-historian-who-authored-coney-island-of-the-pacific-passes-away-at-79/  https://www.atariarchives.org/agagd/  Tom Hudson - https://www.legacy.com/us/obituaries/legacyremembers/thomas-hudson-obituary?id=54708986 FujiNet NOS Introduction Video (YouTube) by Thom Cherryhomes: https://forums.atariage.com/topic/391452-fujinet-nos-introduction-video-youtube/  https://www.youtube.com/watch?v=1-1PJEkK2ck  FujiNet NOS Introduction PDF - https://forums.atariage.com/topic/391386-fujinet-nos-introduction-pdf/  FujiNet Programmer's Guide PDF - https://forums.atariage.com/topic/391365-fujinet-programmers-guide-pdf/  If you would like to receive regular FujiNet updates, please consider subscribing to fujinews.substack.com All user manuals are available on this page: fujinet.online/getting-started. For your convenience, here are direct links to each manual here: FujiNet for Atari Owner's Guide  FujiNet NOS (for Atari) (Introduction to the FujiNet Network Operating System)  FujiNet for Apple II Getting Started Guide  FujiNet for Coleco ADAM Set-Up Manual  FujiNet for Tandy Color Computer Getting Started Manual  FujiNet for RS232 on MS-DOS Guide to Operations  Brewing Academy back in business: https://forums.atariage.com/topic/390695-all-brewing-academy-inventory-is-being-sold-please-read-for-details/ Soft launched with a lot of the easier products – TheBrewingacademy.com is up and running! Atarimania update: https://forums.atariage.com/topic/392305-new-atarimania We are happy to announce the launch of the new version of Atarimania! https://atariprojects.org/2026/08/23/explore-the-new-atarimania-website-10-15-mins/  Upcoming Shows Vintage Computer Festival GB 2026 - September 11-13 - Aintree Racecourse, near Liverpool, United Kingdom - https://www.facebook.com/events/25457837877216829/  Vintage Computer Festival Midwest - September 12-13 -  Schaumburg Convention Center in Schaumburg, IL - https://vcfmw.org/  Portland Retro Gaming Expo - October 9-11 - Oregon Convention Center, Portland, OR - https://retrogamingexpo.com/  VCF Montreal - November 7-8 - Champlain College Saint-Lambert, Saint-Lambert, QC - https://cvcfed.org/vcf-montreal-2-0/  YouTube Videos Messy Atari 800XL comes in for a refit - FlashJazzCat - https://www.youtube.com/watch?v=GPfGf8xbkBg  Level demo by Agenda (Atari 8-bit computers) - Philsan - https://www.youtube.com/watch?v=U4rid6qTsGw  The Atari Console You've Probably Never Seen - RETRO is the new black (Wolfgang Kierdorf) - https://www.youtube.com/watch?v=_gYwQssg6eQ  AUTCODE Invaders

Will is back in the host seat this week to chat to the one and only Kelli Lucas, Co-Founder & Chief Design Officer at LunarLab. In this episode, Will and Kelli discuss, amongst many things; the push and pull relationship between designers and developers, alignment in the workplace, the love/hate relationship with Figma, how AI has affected the process of design projects, and why you shouldn't rely on AI to build your business plan. — Our guest for this episode has been Kelli Lucas. If you'd like to get in touch with Kelli, or chat about working together on your next UX/UI Design project, you can visit the Lunar Lab website. or connect with them via LinkedIn. Your host for this episode has been Will Larry, you can find and connect with Will over on LinkedIn. Don't forget you can now also watch the show over on our YouTube channel! If you would like to support the show, head over to our GitHub page, or check out our website. Got a question or comment about the show? Why not write to our hosts: hosts@giantrobots.fm This has been a thoughtbot podcast. Stay up to date by following us on social media - LinkedIn - Mastodon - YouTube - Bluesky © 2026 Giant Robots Smashing Into Other Giant Robots Podcast

Longtime followers of Practical AI know that multi-repeat guest and friend Demetrios Brinkmann combines brilliant insight and playful banter into one fun-filled show, and this conversion with Chris was no different. They had a blast!As AI agents become more capable of using computers, interacting with software, and taking action on behalf of users, what does that mean for the way we work and interact with the internet? Chris and Demetrios explore computer-use agents, MCP, agent harnesses, agent-to-agent interactions, and prognosticate the emerging possibilities around agentic commerce. They also discuss how these tools are already being used to automate everyday tasks, the challenges of bringing computer-use agents into enterprise environments, and how the relationship between models and agent harnesses is evolving.In fact, they had so much fun that their conversation continued long after the show was over, but we didn't get that here.

Nvidia just proposed its largest acquisition ever — $12.9 billion for Hugging Face. But regulators in the US, EU, and China may have other plans.Nvidia has announced plans to acquire Hugging Face, the leading open-source repository for AI and machine learning code, in a deal valued at $12.9 billion — technically the largest acquisition in Nvidia's history. In this episode, we break down what Hugging Face actually does, why it matters to Nvidia's broader ecosystem strategy, and how this move fits into Nvidia's history of vertical and horizontal acquisitions, from Mellanox to the failed Arm Holdings bid.We also examine the growing trend of "acquihires" (Enfabrica, Groq, Poolside) and what regulatory scrutiny could mean for this deal specifically, given Hugging Face's large presence in the EU. We draw a direct comparison to Microsoft's 2018 acquisition of GitHub — and how that deal quietly became a distribution funnel for Azure and OpenAI — then ask whether Hugging Face could play a similar role for Nvidia's AI infrastructure business. Finally, we cover Nvidia's revenue segmentation shift, its position versus Broadcom, and why this remains our top semiconductor holding heading into the rest of 2026.TIMESTAMPS0:00 - Nvidia's $12.9B Hugging Face Bombshell1:00 - What Hugging Face Actually Does2:30 - Why Nvidia Wants Developer Distribution4:00 - Nvidia's Acquisition Track Record: Mellanox to Arm5:30 - The Rise of the "Acquihire" (Enfabrica, Groq, Poolside)6:30 - Regulatory Risk: Why This Deal Could Get Blocked8:00 - The Microsoft-GitHub Playbook Comparison11:00 - Nvidia's Revenue Segmentation Shift13:00 - Nvidia vs. Broadcom: Growth Comparison14:00 - Valuation and Final Take for 2026—If you want the reasoning behind more names like this one, Semiconductor Insider covers the process in more depth. Get access to all our research, weekly live Q&A events, and a growing set of tools to build your process: https://www.chipstockinvestor.comAll our socials: https://linktr.ee/chipstockinvestorIf you're getting value from the show, follow so you don't miss the next one.—Disclosure: Some links above are affiliate links. If you buy something through them, we might earn a little coffee money — thanks for helping us (Kasey) fuel our caffeine addiction.Content in this episode is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted, and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. CSI owns shares of Nvidia.

Este es el primer episodio de una serie de cuatro que voy a dedicar a herramientas que he implementado y que uso en mi día a día. Las cuatro comparten stack: Rust en el backend y React con TypeScript en el frontend. Y la primera es, sin duda, una de las que más me facilitan la vida: Popuplatrs.¿Te suena el ritual de publicar un artículo y tener que abrir Telegram, luego Mastodon, luego X, luego LinkedIn, luego Bluesky, y encima personalizar el texto para cada plataforma? Pues eso es exactamente lo que Popuplatrs elimina de tu día a día. Le das uno o varios feeds RSS, Atom o YouTube, y él se encarga de leer las novedades y publicarlas automáticamente en las redes que le configures. Con plantillas personalizables, programación de horarios, reintentos automáticos y un panel web desde el que controlarlo todo.En este episodio te cuento por qué me decidí a crear esta herramienta, qué alternativas existen (Buffer, Hootsuite, IFTTT, Zapier) y por qué ninguna me convencía al ser SaaS o no estar pensadas para funcionar a partir de feeds. También te explico la arquitectura técnica: Rust con Axum, SQLite en modo WAL, autenticación OIDC con Pocket ID, y un sistema de plantillas con MiniJinja que te permite personalizar el mensaje para cada red social.Popuplatrs soporta hasta nueve publicadores diferentes: Telegram, X (Twitter), Mastodon, Bluesky, LinkedIn, Threads, Discord, Matrix y OpenObserve para logging. Cada uno con su propia configuración de autenticación y límites de caracteres. Por ejemplo, en Bluesky publica respetando el límite de 300 caracteres, en X primero lanza el título y luego un reply con el enlace para aprovechar mejor el espacio, y en Discord usa webhooks que se configuran en segundos.El sistema de plantillas es una de las partes que más me gustan. Usa MiniJinja, un motor compatible con Jinja2, y te permite definir plantillas distintas para cada plataforma. Puedes truncar el texto a un número de caracteres, limitar las palabras, eliminar HTML, y combinar el título con la descripción como más te convenga. Todo desde el panel web, sin tocar código.Y por supuesto, te cuento cómo tenerlo corriendo en tu servidor en cinco minutos con Docker. Porque si algo me gusta es que las herramientas sean fáciles de desplegar.Capítulos:0:00 - Introducción: el problema de publicar en redes sociales1:45 - Alternativas existentes y sus limitaciones3:00 - Qué es Popuplatrs: origen, nombre y características principales4:15 - Arquitectura técnica: Rust, Axum, SQLite y Pocket ID5:45 - Fuentes soportadas: RSS, Atom y YouTube7:00 - Publicadores: hasta nueve plataformas sociales8:30 - Panel web: dashboard, logs y republicación de errores10:30 - Programación, reintentos y control anti-spam12:00 - Motor de plantillas y personalización por plataforma13:30 - Despliegue con Docker Compose, Pocket ID y despedidaMás información y enlaces en las notas del episodio

In this episode, Ray Cochrane records from the Michigan studio on the one year anniversary of losing the show’s original host, Todd Cochrane. The featured story is Anthropic’s $5 million grant program, which pays outside researchers to measure whether AI is actually good for the people using it. Ray also covers Anthropic’s Enterprise Frontier Safeguards, Google’s Fairwind cyber defense program, Meta’s organizational second brain, sixteen green AI projects across Asia-Pacific, an Oklahoma Bitcoin mine condemned after leaking 3.8 million gallons of water, BepiColombo closing in on Mercury, and the 2026 Ig Nobel Prizes. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens from the studio in Michigan, recording on the one year anniversary of the show losing its original host, Todd Cochrane, his father. The family has gathered for the occasion. He also plans to record several episodes throughout the week as a commemorative run, so listeners should expect a heavier release schedule than usual. He also shares where things stand. He and Delaney have gone back and forth on relocating to Michigan, but the family is pushing, and the plan is firming up for the coming month or so. Part of the draw is getting his dad’s studio cleaned up and running the way it used to. Finally, he passes along an update on the Zuvers, a story long-time listeners will recognize. The father of the three children is due out of jail soon, though he now faces retrial for the murder of the three boys. Cochrane notes that the original prison term related to their return rather than the murders themselves. The family’s expectation, he says, is that this time the sentence will be permanent. Anthropic Puts $5 Million Behind Measuring AI’s Effect on You The featured story asks a question the industry has mostly avoided. Not whether a model is smart, but whether you are better off after using it. Anthropic is funding independent research to find out, and the structure is the interesting part. The money creates what the field calls evaluations: standardized tests for AI models. Hundreds already exist for coding, math, and reasoning. However, almost none measure whether the tool is good for the human on the other end. Crucially, Anthropic is not building these tests in-house. Grantees receive funding, model access and technical support, then work fully independently. Everything they produce must be published open source, so any developer at any company can run it. As Cochrane puts it, Anthropic is paying to create a ruler other people will use to measure Anthropic. The example Anthropic leads with is deliberately uncomfortable. Claude might offer diet and workout advice to someone asking about weight loss. But if that user has a history of disordered eating, the same response becomes actively harmful. Cochrane connects this to sycophancy, a topic the show has returned to before, and notes that models carry no real memory of who you are unless you tell them. That is exactly why the problem has gone unmeasured. Code compiles or it doesn’t. Math checks out or it doesn’t. Wellbeing has no answer key, because the identical response can help one person and harm the next. The Five Things Anthropic Wants These Tests to Do Cochrane walks through all five criteria, since each targets a specific way this research usually fails. First, state plainly what you are measuring. It is easy to measure something adjacent, such as how often a model uses warm language, then publish numbers about a proxy while claiming insight into loneliness itself. Second, involve clinicians and subject-matter experts in designing and validating the tests. A capable engineer may simply not know what the warning signs of an eating disorder look like in text. Without those people in the room, the test measures what engineers imagine the harm looks like. Third, count overcompliance and overrefusal as harms. Overcompliance is the obvious failure. Overrefusal is the model becoming so cautious it turns useless, or shutting down someone who had nowhere else to ask. Cochrane adds that overrefusal is far harder to spot, because you often cannot tell it is degrading until it has degraded. Fourth, reflect real multi-turn usage. Most safety testing throws one nasty question at a model and checks for refusal. Meanwhile, actual harm builds across a long conversation where every individual message reads as fine. Fifth, validate the automated graders against real experts. Scoring thousands of conversations means an AI grades the AI. Consequently, a subtly wrong grader skews every downstream number in the same direction, and nothing in the process flags it. Cochrane expects this to be the hardest criterion to satisfy, since psychiatric and medical specialists do not come cheap by the hour. Applications close September 21st, and shortlisted applicants will be notified by October 5th. Notably, the announcement names no individual researcher or executive. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Anthropic’s Enterprise Frontier Safeguards Keep Your Logs in Your Vault Anthropic’s second announcement targets a completely different audience. Catching misuse across many sessions requires keeping logs. However, banks and hospitals cannot hand that data to an outside vendor, because regulators will not allow it. Safety monitoring and compliance were in direct conflict. The fix moves where the data lives. Activity logs go into the customer’s own cloud bucket at Amazon, Microsoft or Google, locked with keys the customer controls. Automated systems scan a rolling window for serious abuse such as credential theft, and alerts route straight to the customer’s own security team. No human at Anthropic reads it, and Anthropic does not charge for the feature. The backstory explains the urgency. Anthropic had begun retaining thirty days of data with its Fable 5 model, specifically to catch patterns that only appear across multiple sessions. Regulated customers had to walk away immediately. Over a hundred organizations helped shape the result, including a quarter of the Fortune 100 and every US globally systemically important bank. It works across Claude Code, Claude Enterprise, Amazon Bedrock, and Microsoft Foundry. Wells Fargo’s security team put it simply, saying their logs stay in a Wells-managed environment under Wells-managed keys. Cochrane adds a personal note on the same retention change. Because transcripts now persist thirty days after last touch, he can keep Claude Code threads open far longer and lean on clear without losing context. Google’s Fairwind Program Hands Patching to the Machines Google is running the same play from the defensive side. Normally, a human engineer must reproduce a security flaw, understand it, write a fix, then prove the fix broke nothing else. That can stretch to weeks, and attackers live in exactly that gap. Fairwind pairs two systems to close it. Gemini 3.8 Flash Cyber is a model tuned for security work. CodeMender hunts for flaws and writes the patches. Together, Google says they produce verified, deployment-ready patches in minutes, running inside the customer’s own environment. Access is deliberately restricted to three groups: national cyber authorities; critical infrastructure operators in healthcare, telecom, energy, and finance; and major technology platform providers. More than 650 partners are involved. Cochrane’s take centers on logging quality. Systems that emit specific, unique errors rather than generic ones let these tools find real issues almost immediately. Furthermore, he sees value in purpose-tuned models over general ones, since different training data and methodology surface gaps a single familiar model would miss. Meta Built an AI That Learns From Its Own Experts Every organization has two or three people who actually understand the hard systems. When they are busy, everyone waits. When they leave, the knowledge leaves too. Most AI assistants address this with retrieval, searching documents when you ask. Meta went the other way. A long-running offline process digests the source material ahead of time into more than 200 structured knowledge files, so the thinking happens before anyone asks. On top sit what Meta calls recipes, step-by-step procedures mirroring how a specialist actually works a problem. The reported numbers are concrete. Restructuring cut tokens consumed per turn by 80 percent. Assessments that took days now take minutes. The team built the whole system in six weeks across three sprints. Cochrane focuses on the feedback loop. Normally, an expert corrects an assistant in chat; the answer improves once, then the system forgets. Meta’s version compiles corrections into knowledge files and regression-tests them, so fixes stick without retraining the model. However, he raises two real caveats from his own attempts. Building those knowledge files is token-heavy, and codebases change. If the offline process does not rerun, the documentation drifts away from the code it describes. He also predicts this will become a service offered by AWS, GitHub, or GitLab rather than something each company builds alone. Sixteen Green AI Projects Across Asia-Pacific Google DeepMind named the first cohort of its Accelerator: AI for the Planet program. Sixteen organizations span New Zealand, Singapore, South Korea, Indonesia, Thailand, India, Australia and Japan, receiving three months of access to Google’s AI stack plus mentorship and a Singapore bootcamp. Several stand out. A New Zealand outfit called 800 Trust uses bioacoustics, monitoring an ecosystem by listening to it and running AI over continuous audio to track biodiversity. Wildlife.ai builds open-source AI camera traps. Australia’s X-Centric replaced the soil lab with a handheld X-ray reader that answers a farmer standing in the field. In India, Climitra Carbon verifies invasive species removal and converts the biomass into biochar. Access matters more than money, as Cochrane points out. A six-person conservation nonprofit cannot run frontier models, because the compute bill alone would consume its operating budget. The organizations closest to these problems have always been furthest from the tooling. An Oklahoma Bitcoin Mine Condemned After Leaking 3.8 Million Gallons Cochrane corrects the figure up front. Many outlets report three million gallons, but El Reno city officials put it at 3.8 million. A Bitcoin mining operation on West Jensen Road leaked water and dropped pressure badly enough to close El Reno Public Schools, the Canadian County Courthouse, and other city and county offices. It happened during a month with 24 days above 100 degrees, in a region under severe to extreme drought. The leak is not the damning part. The city issued a stop-work order on the site back in 2023 for electrical, construction, and fire safety violations, then never followed up. The facility ran roughly three years under an order nobody enforced. Interim city manager Ken Brown did not dodge it, saying simply, “We failed.” The site is now posted as condemned with a ten-day removal notice, and a hearing with operator Athlon BT is set for September 14th. Reaching the company has proven difficult, with a website stuck on a maintenance notice and an unanswered California phone number. Cochrane draws one distinction that the coverage keeps blurring. This is a Bitcoin mining rig, not a hyperscale AI data center. The residents who lost pressure absorbed the cost, and nobody billed the operator for the aquifer. BepiColombo Closes In on Mercury After Eight Years Reaching the closest planet to the Sun took nearly eight years, which sounds backward until you understand the physics. Falling toward the Sun means gaining enormous speed, and a spacecraft arriving too fast simply sails past. So the mission spent those years shedding velocity across nine gravity-assist flybys: one at Earth, two at Venus, and six at Mercury itself. On September 3rd, the transfer module separated and was discarded more than 200 million kilometers from Earth. Mission control marked the moment with “Roll call completed, GO for separation.” Importantly, the spacecraft has not arrived yet. Orbit insertion is November 21st, the two science orbiters separate around December 9th and 10th, and science operations begin in April 2027. That November date is revised, having slipped from an earlier plan. Two orbiters fly because they do different jobs. Europe’s Mercury Planetary Orbiter studies the planet and what lies beneath its surface. Japan’s Mio studies the magnetosphere. Mercury having a magnetic field at all is genuinely odd, since a planet that small should have cooled and lost it long ago. The mission honors Giuseppe “Bepi” Colombo, the Italian mathematician who worked out how to slingshot a spacecraft to Mercury in the first place. NASA Builds a Rocket Engine Talk You Can Hear NASA hosts a webinar on Friday, October 2nd at 2 pm Eastern, titled “The RS-25 Engine and the Future of Artemis Missions.” It runs about two hours, is open to anyone, and RSVPs close September 25th. The RS-25 is not new hardware. It is the Space Shuttle main engine, the same design that flew 135 shuttle missions across three decades, now bolted four at a time into the SLS core stage. Together they produce roughly 2.2 million pounds of thrust at 111 percent of their original shuttle rating. Throwing them away is the strange part. These are precision engines built to fly repeatedly, yet Artemis expends four on every launch. NASA got a proven engine and skipped a decade of development, and that is the trade. The accessibility work is the real story. The event includes an audio-described video of an engine test firing, a live Q&A with an Artemis engineer, and a panel on accessibility in space and science. A test firing normally sells entirely on spectacle. Conveying that, and the engineering underneath it, without the visuals is a genuine design problem NASA built the whole event around solving. Buried Underwear Wins a 2026 Ig Nobel The 2026 Ig Nobel Prizes were awarded September 3rd in Zurich. Marc Abrahams launched them in 1991 at the satirical magazine Annals of Improbable Research, and what began as a roast is now something researchers actively want. The soil science prize went to a team that buried 1,000 pairs of underwear across more than 25 countries and dug them up two months later. Measuring how much cotton rotted turns out to be a cheap, surprisingly good proxy for how biologically alive the soil is. The biomechanics prize recognized a precise, cross-species definition of kissing that works for animals and excludes passing food. By that definition, polar bears kiss, some birds kiss, and so do ants. Nature reports the behavior traces back roughly 21.5 million years to the ancestor of all large apes, meaning ancient humans very likely kissed Neanderthals. Cochrane’s favorite was the physics prize, awarded for a splash-free urinal design that reportedly cuts spray to 1.4 percent of normal. Cochrane closes by pointing listeners to the GNC Insider program, the newsletter, and podcastapps.com for a modern podcast app. Feedback on the show’s format is explicitly welcome at geeknews@gmail.com, where either Ray or Chris will read it. The post Anthropic’s $5 Million Push to Measure AI’s Effect on Wellbeing #1876 appeared first on Geek News Central.

There's a squeeze on right now, and it's landing hardest on middle managers and senior leaders. Do more with less. Do more with the same. Lead the team and ship the code. The player-coach role used to be a startup thing, something you did because there were 6 of you and someone had to. Now it's being handed to leaders at scale, and most of them didn't ask for it.Bob comes out swinging. He's fine with it in a small company, but past a certain size, he wants you to wear one hat and be excellent at it. He walks through what actually breaks when a CTO is also a team member: it's less about time and more about the role conflicts nobody talks about, like having to put your own architect on a PIP while you sit next to them every day.Josh admits his first run as a leader was a failed player-coach experiment. He wasn't good at either job, and his team paid for it.The conversation turns to capacity, and that's where it gets uncomfortable. Bob's first question in any agile engagement was "do you know your capacity?" and almost nobody did. Josh tells a story from his college weight room, a strength coach, and a set of 25 squats that should've been mathematically impossible, to argue that people have more in them than they think. Bob answers with the difference between stretching internally and committing externally, and why he'll happily overload anyone who never says no.Then executive math. The belief that a million dollars or 10 new reqs turns into capacity on the day you sign the paperwork. Bob has a story from a financial services project where the plan assumed 120 people and the floor had 38, and nobody said a word until he did. Josh connects it to GitHub's outage problem in 2026: you can do more and still be getting worse.What's in this episode:Two contexts where player coach is fine, and the size where it stops being fineDilution vs tension: the hidden cost of leading people you also code withBob's rule: if you keep saying yes, he'll keep loading you up, and that's his rightThe 25 squats story and what it says about untapped capacityInternal stretch goals vs external commitments (and why they're different numbers)Why Bob hates reserves and gives extra capacity straight to the businessCapacity in 2026 is a moving target, and it doesn't only move upExecutive math, and how it wins when you can't defend your own numberBad news never ages wellBob's Badass Agile Coaching Days runs September 29 through October 1, 2026, virtual, 3 time zones, 12 speakers, all proceeds to Women in Agile and African Agility. Details at agile-moose.com.

NVIDIA closes its $12.93 billion acquisition of Hugging Face, Anthropic signs its third $30 billion-plus compute deal in three weeks, and Signal65 launches its new PINNACLE agentic AI benchmark just in time to catch Claude Fable 5.1 topping the charts, all while Dell, HPE, Broadcom, and Snowflake post a blowout week of AI-driven earnings. Patrick Moorhead and Daniel Newman have all the details on Ep. 318 of The Six Five Pod. The handpicked topics for this week are: NVIDIA's $12.93 Billion Acquisition of Hugging Face: NVIDIA closed its purchase of Hugging Face this week after days of rumors, structured as a full acquisition rather than a licensing deal like NVIDIA's earlier Grok arrangement. Moorhead frames the deal as NVIDIA's bid to own the entire developer pipeline, with GitHub as the first stop and Hugging Face as the second, and the platform's Spaces service giving NVIDIA a way to run workloads once developers arrive. (The Decode) Anthropic's $35 Billion Compute Deal With Lambda: Anthropic signed its third $30 billion-plus compute commitment in three weeks, this time with NVIDIA-backed Lambda managing infrastructure inside a data center owned by crypto infrastructure company Hut 8. The deal covers 350 megawatts over six years, and Newman ties it directly to Anthropic's revenue run rate climbing from about $10 billion to $65 billion since the start of 2025. (The Decode) A 72-Hour Wave of Frontier Model Launches: Claude Fable 5.1, OpenAI's GPT-6 Astra, Google's Gemini 3.8 Flash, Meta's Muse Spark, and six new models from the UAE's MBZUAI all shipped within days of each other. Moorhead and Newman frame the pace as evidence that model rankings now shift day to day, a much faster cycle than the weeks-long stretches leaderboards used to hold. (The Decode) John Ternus Takes Over as Apple CEO: Moorhead calls it a continuity pick that promotes the engineer who built Apple's hardware moat. Newman notes Tim Cook's buyback record, $867 billion in total repurchases, exceeded the combined total of the rest of the Magnificent Seven during his tenure. (The Decode) Signal65 Launches the PINNACLE Agentic AI Benchmark: Signal65 President Ryan Shrout joined Pat and Dan to detail PINNACLE, a new benchmark built to measure real, enterprise-relevant agentic work across model intelligence, infrastructure performance, and full-stack cost per correct task. Shrout says the benchmark already caught Fable 5.1 jumping ahead of Opus 5 and GPT-5.6 Sol on intelligence within days of the model's release. That same result also came in as the most expensive model per correct answer. (Off The Record) Dell Technologies (DELL): Dell delivered $47 billion in revenue, up 58%, with $16.4 billion in AI servers and a $95 billion AI backlog. Newman calls out strong storage and CPU server performance, along with the backlog. He flags financing risk tied to Dell's Neo Cloud customers as the one weak spot in an otherwise dominant quarter. (Bulls and Bears) Hewlett Packard Enterprise (HPE): HPE beat on revenue and non-GAAP EPS with a double beat on guidance, and Moorhead points to networking orders compounding faster than revenue can be recognized as the standout signal. The stock sold off anyway on questions about margin mix and supply. CEO Antonio Neri's focus on selective, less price-sensitive deals is already showing up in a repaired balance sheet. (Bulls and Bears) Broadcom (AVGO): Broadcom tripled its AI business to $16.7 billion, up 221%, and raised its fiscal 2028 AI revenue outlook to $230 billion. Newman says the market wanted the number closer to $300 billion and sold off on the guide. Broadcom still posted record $29.6 billion total revenue and continued strength across networking and storage controllers. (Bulls and Bears) Snowflake (SNOW): Snowflake beat on revenue, non-GAAP EPS, and forward guidance, with AI products across Cortex and its new coding agent driving roughly half the beat. Sell-side price targets moved sharply higher across more than a dozen firms, and Newman ties the 111 percent stock gain since the software sell-off to the same pattern he's tracked through the DeepSeek moment and the "software is dead" narrative: markets consistently overreact to those stories before reversing. (Bulls and Bears) Thanks for tuning in to the pod. Hit that subscribe button, and check out the new Signal65 PINNACLE benchmark at pinnacle.signal65.com. The Decode NVIDIA's $12.93 Billion Acquisition of Hugging Face https://techcrunch.com/2026/09/03/nvidia-confirms-it-will-buy-hugging-face-for-12-9-billion/ Anthropic's $35 Billion Compute Deal With Lambda https://www.reuters.com/technology/anthropic-signs-35-billion-cloud-deal-with-nvidia-backed-lambda-source-says-2026-08-31/ A 72-Hour Wave of Frontier Model Launches https://www.anthropic.com/claude-fable-and-mythos-5-1 https://openai.com/index/path-to-astra/ John Ternus Takes Over as Apple CEO https://www.apple.com/newsroom/2026/04/tim-cook-to-become-apple-executive-chairman-john-ternus-to-become-apple-ceo/ Off The Record Signal65 Launches the Pinnacle Agentic AI Benchmark https://pinnacle.signal65.com/ Bulls and Bears Dell Technologies (DELL) https://www.barrons.com/articles/dell-stock-soars-q2-earnings-guidance-beat-d07d0ee7 Hewlett Packard Enterprise (HPE) https://www.hpe.com/us/en/newsroom/pressrelease/2026/09/hpe-reports-fiscal-2026-third-quarter-results.html Broadcom (AVGO) https://investors.broadcom.com/news-releases/news-release-details/broadcom-inc-announces-third-quarter-fiscal-year-2026-financial Snowflake (SNOW) https://investors.snowflake.com/news/news-details/2026/Snowflake-Reports-Financial-Results-for-the-Second-Quarter-of-Fiscal-2027/default.aspx  

Harness Field CTO Martin Reynolds joins The New Stack to talk about what happens after coding agents start opening pull requests faster than anyone can review them. He explains how he first saw the bottleneck during early GitHub Copilot trials, the three ways enterprises are coping with the volume now, and why Harness rebuilt its Code Repository and launched AI Code Review for agent traffic. The conversation also covers GitHub's recent outages, the software delivery knowledge graph behind Harness's reviewer, and how much of the delivery pipeline should stay deterministic. Learn more from The New Stack around the latest in coding agents:AI coding agents can write code, Crafting wants to help them ship itGit real: AI agents aren't just for solo developers anymoreJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.

Hoy te traigo un episodio que llevaba tiempo queriendo grabar. Y es que muchos estáis usando agentes de IA, pero los tenéis desnudos. Sin skills. Y un agente sin skills es como un Linux sin comandos: técnicamente funciona, tienes el kernel, tienes la shell, pero sin ls, sin grep, sin systemctl, no puedes hacer nada útil. El mejor modelo del mundo sin herramientas solamente es texto bonito.En este episodio te cuento qué son exactamente las skills, por qué transforman un modelo de lenguaje en un asistente que hace cosas, y cuáles son las tres skills imprescindibles que todo agente debería tener. Una skill no es ni más ni menos que un prompt. Un conjunto de instrucciones que le dice a tu agente cómo tiene que hacer algo. No es un programa ni un script, es una receta de comportamiento. Y no necesitas ser programador para crearlas.Te hablo de skills del sistema: leer archivos, ejecutar comandos, navegar por tu equipo. Skills de búsqueda: búsqueda web con SearXNG (que tengo montado en un Slimbook One y devuelve resultados en JSON que es una maravilla), búsqueda local con RipGrep que es increíblemente rápida, y búsqueda semántica con SQLite. Y skills de automatización: tareas programadas, webhooks que responden a eventos como un git push, o scripts orquestados que pueden hacer casi cualquier cosa.Pero no me quedo ahí. Te doy las tres reglas de oro para crear tus propias skills. Porque los mejores skills son los que escribes para ti mismo. Primera regla: no digas "revisa el sistema", sino "ejecuta systemctl status --failed". Cuanto más específico, mejor. Segunda: define los límites. Qué puede hacer y qué no. Lo que no puede hacer es casi tan importante como lo que puede hacer. Tercera: ponle ejemplos. Cómo tiene que quedar el resultado, qué formato tiene que usar. Con estas tres cosas todo rueda mucho mejor.También te cuento cómo organizar tus skills. Cada agente guarda los skills donde le da la gana: OpenCode en .config/opencode/skills, Hermes en .hermes/skills. Yo cada vez los guardo más en .agents/skills porque la mayoría de los agentes ya saben encontrarlos ahí. Y te hablo de los hubs de skills, donde puedes instalar skills creados por la comunidad con un solo comando.Si usas OpenCode, Hermes Agent u Open Web y sientes que tu agente responde preguntas pero no hace cosas, este episodio te va a cambiar el día a día. Vamos directos al turrón.Capítulos del episodio:0:00 - Introducción: tu agente está desnudo1:45 - ¿Qué es una skill? De un prompt a un asistente que hace cosas4:15 - Skills del sistema: leer archivos, ejecutar comandos, navegar7:30 - Skills de búsqueda: web con SearXNG, local con RipGrep, semántica con SQLite11:00 - Skills de automatización: tareas programadas, webhooks, scripts orquestados13:45 - Las 3 reglas de oro para crear tus propias skills18:30 - El ecosistema de skills: dónde guardarlas y cómo organizarlas21:00 - Ejemplo práctico: la skill del tiempo meteorológico23:15 - Conclusión: un agente sin skills es Linux sin comandosMás información y enlaces en las notas del episodio

Brent has two hours to build a great website, and the solution he finds feels more like a Linux tool than a modern web framework. Naturally, Wes takes it too far.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

In this episode, Ray Cochrane breaks down Hot Chips 2026, the engineering conference where IBM, NVIDIA, Intel, AMD, Arm, and Fujitsu all showed how their next processors actually work. The headline disclosure is a mainframe core that runs Arm natively. Ray also covers Apple’s odd M6 Mac mini naming, London’s first autonomous Uber rides, Amazon’s purchase of the company behind DuckDB, GitHub’s HydraFusion, the best of IFA 2026, and new USDA research on farmed salmon. – Want to start a podcast? It’s easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens the show with a personal update. He apologizes for the late rollout and the missed Monday episode, having spent the week fighting a cold. He’s also heading to Michigan to spend time with family and visit his father’s gravesite. He hopes to record a couple of shows from his dad’s old studio while he is there, including a special episode planned for Tuesday. He also points listeners to a fresh site redesign that trades the old techie look for something cleaner and friendlier. The featured segment starts from a wrap-up post on Arm’s newsroom. However, Cochrane broadens it to cover the whole conference rather than a single article. Hot Chips has run every August since 1989, and this year’s event was the 38th, held August 23rd through the 25th at Stanford’s Memorial Auditorium. What Hot Chips Actually Is Cochrane draws a line between Hot Chips and the big consumer trade shows. CES and Computex exist for product announcements and marketing. Meanwhile, Hot Chips is an IEEE engineering conference where chip architects present block diagrams and die photos for thirty minutes at a stretch. The audience matters as much as the content. Roughly five hundred people who design chips for a living fill the room, and they would spot a fudged number immediately. No written paper is required, just the talk and the slides. In-person tickets sold out this year, as did Stanford’s dorm housing. Cochrane says he plans to cover the conference annually going forward. IBM Built a Mainframe Core That Speaks Arm The disclosure that stopped Cochrane cold came from IBM. Its next processor for IBM Z and LinuxONE runs two completely different instruction sets natively, on every one of its eleven cores. Those are z/Architecture, IBM’s own mainframe language, and AArch64, which is 64-bit Arm. Crucially, this is not emulation. Nor is it Arm cores glued onto the die beside the mainframe cores. IBM built 2,792 Arm instructions directly into the hardware, which it says is more than double the mainframe instruction count. Each core carries two separate decoders while sharing the caches, branch predictor and register files downstream. It switches between the two in nanoseconds. IBM even added dedicated hardware to flip byte order, because Arm and the mainframe store numbers in opposite directions. The payoff is Arm SystemReady compliance, meaning off-the-shelf Arm Linux runs on a mainframe unmodified. Patrick Kennedy of ServeTheHome, who was in the room, wrote: “I am sitting here still in awe of what IBM is doing here; this is not Z plus Arm cores, this is Z and Arm in one core.” Cochrane flags one precision point that is easy to get backward. IBM did not license Arm’s core designs and drop them in. Instead, it took its own mainframe core and taught it AArch64 under an architecture license, which is considerably harder engineering. The specifications are striking. The chip uses a 2nm process, with eleven cores running above 5.7GHz sustained and no turbo mode at all. Each core gets 36MB of L2 cache, backed by a 3.5GB virtual L4 pool. Furthermore, the reliability target is eight nines, which works out to roughly three tenths of one second of unplanned downtime per year. IBM gave it no name and no ship date, though the press expects “Telum III” around 2028. Arm, Fujitsu and NVIDIA Show Their Hands Arm itself had plenty to discuss, starting with an unfortunate name. Its first chip in thirty-five years is called the AGI CPU, which is a product name rather than any claim about artificial general intelligence. For three and a half decades, Arm designed processor blueprints and licensed them out, collecting royalties without competing. That era is now over. The AGI CPU is Arm’s own silicon, co-designed with lead customer Meta, running up to 136 cores on TSMC’s 3nm process at 300 watts. Arm’s CEO says the company has more than $2 billion in customer demand across the next two fiscal years. Fujitsu brought the detail Cochrane called the coolest of the conference. Its MONAKA chip packs 144 Arm-based cores, but the trick is the cache. Rather than sitting alongside the cores and eating die area, the entire last-level cache lives on a separate 5nm die with the 2nm compute die stacked directly on top. It ships in 2027 in 350-watt and 500-watt versions. NVIDIA had more stage time than anyone, with six sessions. Its new Vera CPU carries 88 cores of NVIDIA’s own Olympus design, which marks a change: the previous Grace CPU used Arm’s off-the-shelf cores. Consequently, Arm’s win here is the instruction set, not the blueprint. The memory disclosure drew the most attention, with a fully loaded system reaching 1.5TB at 1.2TB/s while the whole memory subsystem draws just 30 to 40 watts. The Caveat on NVIDIA’s Benchmark Slides Cochrane pushes back on how NVIDIA presented its numbers. On the standard SPEC integer benchmark, Vera scored 925 against AMD’s 128-core EPYC score of 898, about three percent ahead. However, the slide NVIDIA showed normalizes that same result per physical core, which makes a three percent gap look enormous. NVIDIA defends the choice, arguing that per-core throughput matters when thousands of AI agents run at once. Cochrane grants that it is a fair argument to make. Even so, his verdict is blunt: it is a different number from the headline one, and presenting it that way is not the best look. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Apple’s Newest Chip Landed in Its Cheapest Mac Last week’s episode covered the Mac Studio half of Apple’s August announcement. Tonight Cochrane takes the other half, the new Mac mini, and finds the numbering genuinely strange. The $899 base Mac mini gets the M6, which is Apple’s first 2nm chip and the newest process the company has shipped. It brings twelve CPU cores, twelve GPU cores, and 170GB/s of memory bandwidth. Apple also introduced a third CPU core class called super cores. So Apple’s most advanced chip sits in its cheapest desktop, while the M5 Pro, M5 Max and M5 Ultra above it all carry a lower number. It gets stranger. The M6 mini has Thunderbolt 4 while the pricier M5 Pro mini has Thunderbolt 5, and the memory ceiling runs backward too. Apple explains none of it across three announcement pages. Reading between the lines, Cochrane figures the M6 is the entry point of a new generation that shipped ahead of its larger siblings. London’s Robotaxis Started Carrying Passengers Arm’s monthly roundup covers everything outside the data center, and Wayve stood out. Transport for London granted the British self-driving company private hire vehicle licenses on August 5th, the same category a minicab needs. Then on September 3rd the service launched with Uber, marking the first autonomous rides ever offered to UK passengers. A small fleet of Ford Mustang Mach-Es covers anywhere in London except the airports, with a TfL-licensed safety driver still aboard. Over 140,000 Londoners signed up. The compute runs on NVIDIA’s Arm-based automotive platform, which is why Arm claims the win. Cochrane notes the pattern: once you set a standard nobody can move off, these wins keep arriving. Two more items round it out, both about squeezing AI onto phones. Google’s Pixel 11 shipped in August with the Tensor G6, and Google claims on-device AI runs up to 3.5x faster using 3.5x less energy. Those are Google’s own unbenchmarked figures. Separately, Graphcore’s research team worked with Arm to run an 11-billion-parameter vision model on phone-class processors by squeezing each parameter to 2.7 bits, taking the model from roughly 22GB down to 3.7GB. Intel Is Pitching AI Infrastructure From a Long Way Back Intel’s newsroom post previews the AI Infra Summit, running September 15th through 17th in Santa Clara. CEO Lip-Bu Tan takes a fireside chat on Tuesday morning, with three Intel sessions across the show. Cochrane unpacks two terms first. Physical AI means AI that acts in the real world through sensors and motors rather than living on a screen, and Intel takes it seriously enough to have renamed its PC division the Client Computing and Physical AI Group in May. Disaggregated inference splits the two phases of running a model: reading your prompt is compute-hungry, while writing the answer back is memory-hungry. The context is where this gets interesting. Intel’s revenue rose 25 percent last quarter, its fastest growth since 2011. Nevertheless, in AI accelerators the company barely registers next to NVIDIA. Gaudi has effectively been abandoned, to the point that Intel stopped maintaining its open-source driver, and AMD passed Intel in data center revenue last quarter. Tellingly, when Intel demoed disaggregated inference at Computex, NVIDIA GPUs handled one phase and SambaNova chips the other while Intel supplied the coordinating CPU. Crescent Island, Intel’s actual inference chip, does not sample until later this year, and Intel declined to publish its memory bandwidth. Amazon Bought the Company Behind DuckDB On August 26th, Amazon signed a deal to acquire DuckLabs, the Amsterdam company behind DuckDB. Cochrane spends time explaining what DuckDB is, since listeners outside the data world may never have encountered it. The problem it solves is familiar. Querying a large pile of data files traditionally meant either running a database server or spinning up a data warehouse with a cluster, a bill, and a loading pipeline. Both are heavy machinery for a question you wanted answered in ten seconds. DuckDB instead ships as a library rather than a server. You add it to your program like any other package, point it at your files, and write ordinary SQL directly against them. The data never moves. The usual comparison is SQLite, which is embedded in nearly every phone and browser on earth. Where SQLite excels at looking up one record, DuckDB rebuilds that embedded idea for chewing through millions of rows. It now sees roughly 62 million monthly downloads on Python’s package index alone, up from about 25 million last October. AWS says it is buying the company, not the project. DuckDB stays free and open source under the MIT license, held by a Dutch nonprofit foundation, and the founders join AWS while continuing to run technical direction from Amsterdam. Andy Warfield, a VP and distinguished engineer at AWS, described DuckDB as “the glibc of structured data: a lean, unglamorous, ubiquitous dependency that a great deal of software links against and almost nobody has to think about.” Cochrane sits with what that ownership means. He reaches for an analogy: imagine Daniel Stenberg selling curl. He doubts it would ever happen, but the concept alone is startling given how much infrastructure depends on it. His read is that AWS is betting DuckDB becomes as foundational as curl and SQLite already are. GitHub Has One AI Model Grade Another One’s Homework GitHub shipped Project HydraFusion into Copilot as a research preview. Instead of routing your request to a single model, it picks one of three approaches per request. Sometimes one model simply answers. Alternatively, a cheaper model drafts, and a quality gate decides whether to escalate. The interesting one is Critique. One model writes the code, a separate model from a different family reviews it read-only, and the original gets one pass to revise. Despite the name, nothing is fused here. There is no voting and no merging, just one model at a time with a gate deciding whether to spend more. GitHub explained the reasoning in an earlier post: “a model reviewing its own work is still bounded by its own training biases: the same training data and techniques, the same blind spots.” Research supports it. A team at NeurIPS in 2024 showed that models recognize their own writing and score it higher than human graders do. GitHub’s earlier number had a Claude Sonnet and GPT critic pairing closing about three-quarters of the gap between Sonnet and the larger Opus model. This mirrors a workflow Cochrane uses constantly and has described on a previous episode. He runs a cross-check review with a second model from a different company, and it routinely surfaces issues the first model missed. He explains that different training data, different engineers, and different reinforcement approaches build different internal biases about what counts as correct. Looking ahead, he expects more of these “Frankenstein patterns” where models from different training families work together. The Best of IFA 2026, and What You Can Actually Buy IFA opened to the public in Berlin for its 102nd year, with about 1,900 brands. Cochrane splits The Verge’s roundup in two, since much of what generates headlines at these shows never ships. Starting with real products, iRobot’s flagship Roomba Max 875 Combo runs $1,199 and ships in about two weeks. Its SealForce feature drops a hidden skirt from the chassis when it detects carpet, sealing against the fibers so suction concentrates instead of leaking out the sides. That reaches 35,000 pascals, iRobot’s strongest yet. A step-down model at $899 carries the same trick, though Cochrane balks at both prices. Anker’s Soundcore Sleep 4 Pro earbuds arrive in November at $349.99. The charging case carries its own round touchscreen, so you pick soundscapes, set alarms, and read sleep stats without your phone. Optical sensors read heart rate and variability from the ear canal, which beats the wrist for accuracy, and the case masks a snoring partner. Cochrane remains unconvinced about sleeping with earbuds in. Philips also has smart rope lights, the Hue Liane 360, on sale now. They glow evenly around the tube rather than showing individual LEDs. They also run $400 for three meters, which works out to about $130 per meter of rope light. As for concepts nobody can buy, iRobot showed a robot vacuum that carries a smaller robot vacuum on its back in a garage and lowers it to deploy. Lenovo brought a 14-inch laptop whose screen rolls out to 17 inches at the press of a button, which reviewers call the first rollable that feels close to shippable. Tecno showed a phone with essentially no border around the screen, and Acer had a Windows gaming handheld that swivels its screen up over a keyboard. Two themes ran through the show. Humanoid robots were the loudest thing on the floor, and IFA’s own CEO framed the event as being about robots that work rather than robots that demo. Meanwhile, AI stopped being its own product category and became an ingredient, showing up in refrigerators, treadmills, dishwashers, and motorized TV mounts. Farmed Salmon Isn’t the Omega-3 Machine It Used to Be USDA scientists measured farmed salmon and found considerably less of the good fat than the government’s own database claims. EPA and DHA are two fatty acids you get almost entirely from fish. Your body can build them from the plant version, but only in tiny amounts, so the NIH’s position is that eating them is the only practical way to raise your levels. Those fatty acids are structural pieces of every cell, with DHA concentrating in the brain and retina. That is why the federal dietary guidelines, issued jointly by USDA and Health and Human Services, recommend at least eight ounces of fish a week and steer you toward salmon. That amount is calibrated to deliver about 250 milligrams a day. Published in Frontiers in Nutrition last month, the study found EPA and DHA in farmed Atlantic salmon came in 54.7 percent lower than USDA’s own reference values, last updated in 2018. A three-ounce serving fell from roughly 1,670 milligrams to about 756. Consequently, two servings a week now fall about 14 percent short of the target. Plant-derived fats meanwhile rose two to three times over. The likely cause is feed. Salmon are carnivores, and farms once fed them oily little fish. There was never going to be enough of those as the industry scaled, so crops filled the gap: soy, canola, sunflower and linseed. Importantly, the study does not claim to have proven this and calls the feed shift a plausible explanation. Independent corroboration lends it credibility. Researchers at Stirling measured a similar halving in Scottish salmon between 2006 and 2015, and Norway’s marine institute saw it across thousands of samples. There is a land dimension too. Roughly half the world’s soy grows in South America, where rainforest gets cleared for feed. Matthew Hayek, who studies the environmental cost of protein at NYU, told Inside Climate News that “soy is a major, important protein and oil ingredient in fish farming.” Adding up two decades of soy across all fish farming, he puts the extra forest clearing at around the area of Nicaragua or Bangladesh. That figure covers all fish farming rather than salmon alone, and Hayek notes it is hard to attribute soy use to any single species. Cochrane closes with two caveats. First, the study measured only eight fish, bought around Maryland, DC and Virginia over six weeks in 2023, and nearly all sourced from Chile. That is not a national survey, and the authors say plainly the sample was not large enough to change government advice. Rather, it flags that a federal database value needs rechecking, which is what the paper set out to do. Second, on whether you should care, farmed salmon still beats beef, chicken and eggs by a mile, since those carry essentially zero EPA and DHA. What it loses is its crown among fatty fish, dropping to mid-pack behind herring, sardines and mackerel and roughly level with trout. The broader health case is also softer than the 2000s suggested. A review of 86 trials covering 162,000 people found supplements barely moved heart attacks or deaths, so eating fish and swallowing fish oil are not the same claim. No producer has responded to the findings, and USDA, whose own scientists ran the study, declined an interview and did not answer emailed questions. Cochrane wraps up with housekeeping and a note that he will be back on Labor Day. The post The Mainframe Learned to Speak Arm #1875 appeared first on Geek News Central.

This week, Chris, Andrew, and David dig into a packed mix of Rails news, developer tooling, and the increasingly complicated role AI is playing in everyday coding. They talk about Herb making its way into Rails, the realities of Rails upgrades and stacked PRs, new approaches to Git hosting and object storage, and how Rails is being evaluated in the age of AI agents. They also get into improvements coming to Action Text, Podia's approach to “flavored” Markdown, the never-ending frustrations of HTML email, and why tools like ArchSpec and Rubydex could become especially useful as more code is generated by LLMs. Hit download now to hear more!LinksChris Oliver XAndrew Mason BlueskyDavid Hill LinkedInJudoscale- Remote Ruby listener giftRails World-Sept 23-24, 2026, Austin, TXAdd Herb as an HTML -aware ERB implementation #58552 (GitHub pull request)turbopufferAgents on Rails: The LLM Benchmark Project (Rails Foundation)Agents on Rails : The First Benchmark ReportTiptapArchSpecRubydexHoneybadgerHoneybadger 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

In this talk, Paul Domanski, founder of Domanski AI, shares his unconventional journey from film directing and affiliate marketing to becoming a vibecoder running dozens of autonomous AI agents. We explore the realities of building an agentic operating system, how non technical builders can orchestrate complex AI workflows, and the exact strategies used to close high ticket B2B clients using AI generated prototypes.Links:- Headroom: https://github.com/domanski-ai/headroom/You will learn about:- How to build and use custom workspaces like Demox and Tmux setups to orchestrate over 50 concurrent AI agents- Using automated research and rapid AI prototyping to close high ticket B2B sales- Balancing usage across multiple Claude and Codex accounts while navigating API limits and context windows- How to design audit and deploy complex software solutions without a traditional computer science background or deep knowledge of tech stacks- How the skills of a film director like vision stubbornness and delegation perfectly translate to managing autonomous AI teams- Why evaluating LLM outputs is the most critical skill for ensuring reliable products for enterprise clientsTIMECODES:00:00 Welcome and Showcasing Demox08:46 Paul's Background in Film and Digital Marketing16:09 Sales Pipeline and Client Onboarding22:20 Token Efficiency and Open Source Models31:19 Curiosity and the Learning Process37:52 Red Teaming and Code Audits44:51 Building Software Without Knowing the Tech Stack51:02 Parallels Between Film Directing and Managing AI56:32 Using AI for 3D Printing and Personal Projects01:04:34 The Importance of AI EvalsThis conversation is perfect for solopreneurs, agency owners, and non technical builders who want to move beyond basic chat interfaces and start leveraging autonomous AI agents for real world business operations. Whether you are transitioning into AI from marketing, project management, or creative fields, this episode offers a practical blueprint for turning AI curiosity into a scalable business.Connect with Paul:- Linkedin - https://www.linkedin.com/in/paul-domanski-ai/- Twitter - https://x.com/domanski_ai- Github - https://github.com/domanski-ai- Website - https://domanski.ai/Connect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/

While Microsoft pushes Copilot+ PCs, NVIDIA storms into the Windows ecosystem with AI-focused Spark machines and game-changing specs, igniting new rivalries with Apple and upending expectations for what local hardware can do. Plus, Atari revives 39 Activision classics for a price that will make retro fans blink, while the Sonos saga continues as it pivots to an open AI platform that might finally win back old loyalties. Finally, Paul's Markdown book will be released sometime in the next week. Windows The mystery of 26H2 is now less mysterious Last week: Week D came and went without a preview release, triggering speculation Microsoft issues Windows 11 version 26H2 to Release Preview, a first This means a September or October release to stable. Just guessing, but Preview Update in September, general Update in October is most likely Version numbers don't matter much anymore. There are no unique 26H2 features, just a few unique 26H2 presets - These include Point-in-time restore and Memory Integrity Protection being on by default Two 26H1 pre-release builds with little to speak of IFA 2026 is underway in Berlin Acer is first out of the gates with dozens of new PCs, including one based on the NVIDIA RTX Spark EU General Court confirms that Microsoft Edge is not a gatekeeper Visual Studio Code now has a full Markdown Editor experience Brave now offers free email aliases, and will have a premium option soon Firefox for iOS now has integrated ad blocking NVIDIA - $96.2 billion in revenues, up 106 percent YOY Dell - record $47 billion in revenues, but it's all from server/infrastructure HP - $15.7 billion in revenues, up 12.5 percent - $11.8 billion from PCs, vs. $15 billion for all Dell client products AI/dev Sony and Warner sue Anthropic for stealing their music Gemini Notebook gets first Expert Intelligence upgrade with integrated e-book support Sonos announces Sonos 27 OS with major AI functionality Microsoft moves WinUI development fully to GitHub ahead of open-sourcing it XBOX and gaming Call of Duty: Black Ops Cold War, more coming to Game Pass Every Activision title for the Atari 2600 is being reissued in cartridge form, but it's going to cost you Tips and picks Tip of the week: Markdown: A Field Guide for Writers App pick of the week: ImageGlass 10 RunAs Radio this week: Reimagining Intranets with Susan Hanley Brown liquor pick of the week: Macaloney's Cath-Nah-Aven Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. 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: outsystems.com/twit threatlocker.com/twit helixsleep.com/windows

While Microsoft pushes Copilot+ PCs, NVIDIA storms into the Windows ecosystem with AI-focused Spark machines and game-changing specs, igniting new rivalries with Apple and upending expectations for what local hardware can do. Plus, Atari revives 39 Activision classics for a price that will make retro fans blink, while the Sonos saga continues as it pivots to an open AI platform that might finally win back old loyalties. Finally, Paul's Markdown book will be released sometime in the next week. Windows The mystery of 26H2 is now less mysterious Last week: Week D came and went without a preview release, triggering speculation Microsoft issues Windows 11 version 26H2 to Release Preview, a first This means a September or October release to stable. Just guessing, but Preview Update in September, general Update in October is most likely Version numbers don't matter much anymore. There are no unique 26H2 features, just a few unique 26H2 presets - These include Point-in-time restore and Memory Integrity Protection being on by default Two 26H1 pre-release builds with little to speak of IFA 2026 is underway in Berlin Acer is first out of the gates with dozens of new PCs, including one based on the NVIDIA RTX Spark EU General Court confirms that Microsoft Edge is not a gatekeeper Visual Studio Code now has a full Markdown Editor experience Brave now offers free email aliases, and will have a premium option soon Firefox for iOS now has integrated ad blocking NVIDIA - $96.2 billion in revenues, up 106 percent YOY Dell - record $47 billion in revenues, but it's all from server/infrastructure HP - $15.7 billion in revenues, up 12.5 percent - $11.8 billion from PCs, vs. $15 billion for all Dell client products AI/dev Sony and Warner sue Anthropic for stealing their music Gemini Notebook gets first Expert Intelligence upgrade with integrated e-book support Sonos announces Sonos 27 OS with major AI functionality Microsoft moves WinUI development fully to GitHub ahead of open-sourcing it XBOX and gaming Call of Duty: Black Ops Cold War, more coming to Game Pass Every Activision title for the Atari 2600 is being reissued in cartridge form, but it's going to cost you Tips and picks Tip of the week: Markdown: A Field Guide for Writers App pick of the week: ImageGlass 10 RunAs Radio this week: Reimagining Intranets with Susan Hanley Brown liquor pick of the week: Macaloney's Cath-Nah-Aven Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. 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: outsystems.com/twit threatlocker.com/twit helixsleep.com/windows

Would you ever go into business with your family? As a follow up to last week's episode, we've brought on the one and only Doron Birnbaum (twin brother of our dear Sami) to get both sides of the story about their latest business venture. Doron takes Will and Chad through how the idea to build a tech platform that helps charities understand their data better to improve fundraising campaigns came to be, where the Birnbaum's are currently at in terms of getting it into the hands of their target audience, and the roadblocks they've hit along the way. Have our hosts now been hired as the software's new advisory board? Which brother will Chad and Will side with? And who is technically the oldest twin?! — Our guest for this episode has been Doron Birnbaum. If you'd like to get in touch with Doron you can do so through his website, or by email. You can find Chad all over social media as @cpytel and Sami through his website. You can also connect with the trio via their LinkedIn pages - Chad - Will - Sami. Don't forget you can now also watch the show over on our YouTube channel! If you would like to support the show, head over to our GitHub page, or check out our website. Got a question or comment about the show? Why not write to our hosts: hosts@giantrobots.fm This has been a thoughtbot podcast. Stay up to date by following us on social media - LinkedIn - Mastodon - YouTube - Bluesky © 2026 Giant Robots Smashing Into Other Giant Robots Podcast

While Microsoft pushes Copilot+ PCs, NVIDIA storms into the Windows ecosystem with AI-focused Spark machines and game-changing specs, igniting new rivalries with Apple and upending expectations for what local hardware can do. Plus, Atari revives 39 Activision classics for a price that will make retro fans blink, while the Sonos saga continues as it pivots to an open AI platform that might finally win back old loyalties. Finally, Paul's Markdown book will be released sometime in the next week. Windows The mystery of 26H2 is now less mysterious Last week: Week D came and went without a preview release, triggering speculation Microsoft issues Windows 11 version 26H2 to Release Preview, a first This means a September or October release to stable. Just guessing, but Preview Update in September, general Update in October is most likely Version numbers don't matter much anymore. There are no unique 26H2 features, just a few unique 26H2 presets - These include Point-in-time restore and Memory Integrity Protection being on by default Two 26H1 pre-release builds with little to speak of IFA 2026 is underway in Berlin Acer is first out of the gates with dozens of new PCs, including one based on the NVIDIA RTX Spark EU General Court confirms that Microsoft Edge is not a gatekeeper Visual Studio Code now has a full Markdown Editor experience Brave now offers free email aliases, and will have a premium option soon Firefox for iOS now has integrated ad blocking NVIDIA - $96.2 billion in revenues, up 106 percent YOY Dell - record $47 billion in revenues, but it's all from server/infrastructure HP - $15.7 billion in revenues, up 12.5 percent - $11.8 billion from PCs, vs. $15 billion for all Dell client products AI/dev Sony and Warner sue Anthropic for stealing their music Gemini Notebook gets first Expert Intelligence upgrade with integrated e-book support Sonos announces Sonos 27 OS with major AI functionality Microsoft moves WinUI development fully to GitHub ahead of open-sourcing it XBOX and gaming Call of Duty: Black Ops Cold War, more coming to Game Pass Every Activision title for the Atari 2600 is being reissued in cartridge form, but it's going to cost you Tips and picks Tip of the week: Markdown: A Field Guide for Writers App pick of the week: ImageGlass 10 RunAs Radio this week: Reimagining Intranets with Susan Hanley Brown liquor pick of the week: Macaloney's Cath-Nah-Aven Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. 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: outsystems.com/twit threatlocker.com/twit helixsleep.com/windows

While Microsoft pushes Copilot+ PCs, NVIDIA storms into the Windows ecosystem with AI-focused Spark machines and game-changing specs, igniting new rivalries with Apple and upending expectations for what local hardware can do. Plus, Atari revives 39 Activision classics for a price that will make retro fans blink, while the Sonos saga continues as it pivots to an open AI platform that might finally win back old loyalties. Finally, Paul's Markdown book will be released sometime in the next week. Windows The mystery of 26H2 is now less mysterious Last week: Week D came and went without a preview release, triggering speculation Microsoft issues Windows 11 version 26H2 to Release Preview, a first This means a September or October release to stable. Just guessing, but Preview Update in September, general Update in October is most likely Version numbers don't matter much anymore. There are no unique 26H2 features, just a few unique 26H2 presets - These include Point-in-time restore and Memory Integrity Protection being on by default Two 26H1 pre-release builds with little to speak of IFA 2026 is underway in Berlin Acer is first out of the gates with dozens of new PCs, including one based on the NVIDIA RTX Spark EU General Court confirms that Microsoft Edge is not a gatekeeper Visual Studio Code now has a full Markdown Editor experience Brave now offers free email aliases, and will have a premium option soon Firefox for iOS now has integrated ad blocking NVIDIA - $96.2 billion in revenues, up 106 percent YOY Dell - record $47 billion in revenues, but it's all from server/infrastructure HP - $15.7 billion in revenues, up 12.5 percent - $11.8 billion from PCs, vs. $15 billion for all Dell client products AI/dev Sony and Warner sue Anthropic for stealing their music Gemini Notebook gets first Expert Intelligence upgrade with integrated e-book support Sonos announces Sonos 27 OS with major AI functionality Microsoft moves WinUI development fully to GitHub ahead of open-sourcing it XBOX and gaming Call of Duty: Black Ops Cold War, more coming to Game Pass Every Activision title for the Atari 2600 is being reissued in cartridge form, but it's going to cost you Tips and picks Tip of the week: Markdown: A Field Guide for Writers App pick of the week: ImageGlass 10 RunAs Radio this week: Reimagining Intranets with Susan Hanley Brown liquor pick of the week: Macaloney's Cath-Nah-Aven Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. 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: outsystems.com/twit threatlocker.com/twit helixsleep.com/windows

As AI moves from experimentation to enterprise deployment, are organizations thinking too much about models and not enough about architecture? In this episode, Daniel and Chris talk with Chetan Gupta, Chief AI Officer at Rackspace, about the evolution from industrial AI and physical AI to today's enterprise AI landscape. Discover how organizations can navigate the complex AI landscape responsibly and effectively as they think about AI architecture, model deployment, AI governance, and AI sovereignty.Featuring: Chetan Gupta – LinkedIn Daniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XSponsors:Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events:Register for upcoming webinars here!Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

*Build your AI Research Desk in Codex:* https://clickhubspot.com/inyh Ep. 449 Is informational content on the internet dead? Kipp, Kieran, and guest Matt Wolfe (Future Tools) dive into how you can reclaim hours each week by automating newsletter reading, brand mentions, and industry news updates with your own personal AI system. Learn more on building a custom info dashboard with AI agents, the future of media consumption and creator-business relationships, and how you can leverage open-source tools to create a second brain for your work and life. Mentions Loop: Outlearn. Outmarket. Outgrow https://www.hubspot.com/loop-marketing-book GitHub https://github.com/ Gemini Omni 1.1 Flash https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-omni-1-1-flash/ Codex https://chatgpt.com/codex/ Claude https://claude.ai/ Obsidian https://obsidian.md/ Ask Kipp and Kieran a question! https://form.asana.com/?k=U4n5W_3WC2SkQO1bwK8Xzg&d=8587152060687 Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/@matgpod  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@marketingatg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Grokbot actually earns its keep, Cursor takes a swing at GitHub with Origin, and Omarchy Quattro ships pre-wired for nine coding agents. Plus: the GitHub outage post-mortem, a compromised Rust crate, native app vibe-coding with Dactyl, and CAD skills for your AI via nurb.dev Show Notes 00:00 Welcome to Syntax! 00:26 Brought to you by Sentry.io 00:37 Grok's New Agentic App: Grokbot 12:51 GitHub's Major Outage and Postmortem 16:42 Cursor's Origin: A GitHub Competitor 22:59 Omarchy: The Linux Distro for Nerds 29:21 CachyOS: Another Arch-Based Alternative 31:12 The $10 Million Omarchy Foundation 34:54 Dactyl: Native iOS and Android Development in the Browser 44:19 Nurb: AI-Powered 3D CAD Design 49:36 Security Stories: Supply Chain Attacks and Model Cheating 49:43 Rust Supply Chain Attack 51:34 Every Model Cheats: AI Benchmark Findings 53:13 Felony Bench: Ranking AI Models by Crimes Committed 54:19 Casio's Smart Dumb Watch 58:43 Everything I Own Is Owned: Reverse Engineering USB Devices with AI 01:08:05 The Mystery 0x Alpha Model 01:13:48 Dactyl Returns Something Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads