Podcasts about Cloudflare

Show DescriptionHow do you estimate how long a task or project is going to take? Is it easier or more difficult with AI's help? Were web components a mistake? What do we think about Cloudflare's EmDash now? And are lifetime offers a good or bad thing in the dev community? Listen on WebsiteLinks Keyframes, Cash, and CodePen w/ Shaw - Whiskey Web and Whatnot Meeting Design - For Managers, Makers, and Ever :host CSS pseudo-class - CSS | MDN Introducing EmDash WP Migrate SponsorsMacroMacro is a tool to cut through the noise - It's a workspace built for engineers; One place for all your emails, tasks, team chat, and documents. Sign up at Macro.com and get $100 of your subscriptions using code SHOPTALK100

Cloudflareを使ってプロ感を出しましょうｗ

Huge AI News as we go hands on with Anthropic's Claude Fable 5, the most powerful AI model ever released. Spoiler: We found it very good. What happens next?   This week on AI For Humans, Gavin Purcell and Kevin Pereira break down everything you need to know about Claude Fable 5, the first publicly available model in Anthropic's frontier Mythos class. We share our own hands-on impressions, look at the one-shot demos blowing up the internet, and get into the messy parts too: the token burn complaints, the trigger-happy safety guardrails that route some prompts to Opus 4.8, and the reversal Anthropic made after the community pushed back. Plus, Anthropic CEO Dario Amodei published a major essay on AI policy and the exponential, OpenAI is reportedly considering steep price cuts as both companies race toward IPOs. WE GOT CLAUDE'D. AGAIN.  SHOW LINKS: The New York Times on Fable 5 and the restricted Mythos tier https://www.nytimes.com/2026/06/09/technology/anthropic-ai-claude-fable-mythos.html?unlocked_article_code=1.pVA.Seef.OnUcRl8LJLhI&smid=url-share Dario Amodei's new essay, Policy on the AI Exponential https://darioamodei.com/post/policy-on-the-ai-exponential Dario Amodei's full interview with Emily Chang at Bloomberg https://youtu.be/v1wZwxY3CMg Fable 5 still fails at Pac-Man puns (Gavin's test) https://x.com/gavinpurcell/status/2064476395741618239 Kradle's DEATH ROOM eval shows Fable lies, a lot https://x.com/kradleai/status/2064907897373642912 A very funny Fable 5 guardrails example from Cloudflare's Matthew Prince https://x.com/eastdakota/status/2064791153396846821 Robert Scoble's list of everyone big mad at the Fable 5 launch https://x.com/Scobleizer/status/2064641097310335294 Anthropic changes Fable 5 guardrails after community backlash (Gizmodo) https://gizmodo.com/anthropic-apologizes-for-one-of-the-guardrails-on-its-fable-5-model-and-will-change-it-2000770365 Anthropic's official statement on safety flags and when Fable reverts to Opus 4.8 https://x.com/ClaudeDevs/status/2064949876463645026 The wild Anthropic code-per-engineer chart https://x.com/AnthropicAI/status/2062568864240836995 OpenAI weighs slashing prices as Anthropic competition heats up (CNBC on the WSJ report) https://www.cnbc.com/2026/06/11/openai-mulls-slashing-prices-ahead-of-competition-from-anthropic-wsj.html How Fable 5 edited its own launch video https://x.com/trq212/status/2064826394589442448 Fable 5 one-shots a web analytics game https://x.com/marclou/status/2065029898243318093 Fable 5 builds a Level Devil clone in one prompt https://x.com/LexnLin/status/2064450732850348518 Gavin's Fable 5 token burn game https://x.com/gavinpurcell/status/2064884021428187162   /// CONNECT WITH US /// Subscribe to the AI For Humans Newsletter https://aiforhumans.beehiiv.com/ Follow us on X https://x.com/AIForHumansShow Join our Discord: https://discord.gg/nhqn8YUG87 Gavin Purcell on X https://x.com/gavinpurcell Kevin Pereira on X https://x.com/Attack  

Paige, Jack, Paul, and Noel break down the Cloudflare VoidZero acquisition that puts Vite and Evan You under the Cloudflare roof and what it means for open source sustainability when it seems like acquisition is the only exit. We also talk about Uber burning its annual AI coding tools budget in four months, the Claude Max token subsidy math, and whether local AI models can break the cost curve. Resources Cloudflare Acquires VoidZero to Build the Future of the AI-Native Web: https://finance.yahoo.com/sectors/technology/articles/cloudflare-acquires-voidzero-build-future-130000461.html Cloudflare Acquires VoidZero to Advance Open Source Vite Ecosystem: https://devops.com/cloudflare-acquires-voidzero-to-advance-open-source-vite-ecosystem/ Microsoft Reports Are Exposing AI's Real Cost Problem: https://fortune.com/2026/05/22/microsoft-reports-are-exposing-ais-real-cost-problem-using-the-tech-is-more-expensive-than-paying-human-employees/ Anthropic/OpenAI may be spending more than $1000 for every $100 you pay them: https://ea.rna.nl/2026/06/07/anthropic-openai-may-be-spending-more-than-1000-for-every-100-you-pay-them/?utm_source=tldrai We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. ChaptersSpecial Guest: Jack Herrington.

Kasmetinėje „Apple“ kūrėjų konferencijoje WWDC pristatyta naujoji „Siri AI“ – ir kas dar? „Anthropic“ pristatė „Claude Fable 5“ – plačiajai auditorijai skirtą, saugos priemonėmis apribotą „Mythos“ klasės modelį. Bendrovė taip pat perspėja apie scenarijų, kai dirbtinis intelektas galėtų pradėti kurti vis pajėgesnius savo įpėdinius. „Cloudflare“ duomenimis, botai jau generuoja daugiau nei pusę HTTP užklausų. „Nvidia“ pristatė „RTX Spark“ lustą būsimiems nešiojamiesiems ir staliniams kompiuteriams – ateina laikas lokaliai kompiuteryje veikiančiam DI? „OpenAI“ ir „Anthropic“ jau pateikė konfidencialias paraiškas dėl IPO – kodėl didžiosios DI bendrovės skuba į biržą? „Google“ sutarė iš „SpaceX“ nuomotis dirbtinio intelekto skaičiavimo pajėgumus. Bernie Sandersas siūlo vienkartiniu akcijų mokesčiu perduoti federaliniam turto fondui 50 proc. didžiausių JAV DI bendrovių akcijų. Tuo metu JAV valdžia svarsto pasiūlymą tapti „OpenAI“ dalininke. „Microsoft“ pristatė „Scout“ – pirmąjį savo naujosios „Autopilot“ kategorijos agentą, sukurtą naudojant atvirojo kodo „OpenClaw“ technologiją. Pasinaudoję spraga „Meta“ DI klientų aptarnavimo sistemoje, įsilaužėliai galėjo užgrobti daugiau kaip 20 tūkst. „Instagram“ paskyrų. Niujorko startuolis „Shift“ siūlo nemokamai išvalyti namus, jei leisite tvarkytojui visą darbą filmuoti ant galvos pritvirtinta kamera, o surinktą medžiagą naudoti dirbtiniam intelektui ir būsimiems robotams apmokyti.

Este podcast está patrocinado por Qonto.Si tienes una empresa, sabes que uno de los principales retos es poder mantener el control y ver claras tus finanzas. Pagos por un lado, cobros por otro, facturas en otra plataforma…Con Qonto, centralizas todas las finanzas en un solo lugar: cuenta de empresa remunerada, tarjetas para ti y para tu equipo, gestión de gastos y facturación integradas.Crear tu cuenta, aprobar un gasto, emitir una factura… todo rápido, en una misma solución.Obtén la claridad y el control financiero que necesitas.Abre tu cuenta hoy y empieza gratis.https://qonto.com/esEn este episodio hablamos con Chema Alonso, una de las figuras más reconocidas de la ciberseguridad en España, sobre su historia personal y profesional: desde sus primeros años programando en Móstoles, la creación de Informática 64 y sus primeras conferencias, hasta su paso por Microsoft, Telefónica y su etapa actual en Cloudflare.La conversación recorre cómo se construyó la industria de la ciberseguridad cuando todavía no existían muchos de los roles, herramientas y estructuras que hoy damos por sentados. Chema explica cómo empezó a trabajar en proyectos de hacking, formación, investigación y divulgación, y cómo esa combinación de curiosidad técnica, aprendizaje constante y exposición pública acabó llevándole a posiciones clave dentro de grandes compañías tecnológicas. También entramos de lleno en el presente y futuro de la ciberseguridad: el impacto de la inteligencia artificial, los nuevos riesgos para empresas y usuarios, la aparición de modelos capaces de encontrar y explotar vulnerabilidades, los problemas de prompt injection, jailbreaks y agentes autónomos, y por qué estamos entrando en una de las etapas más tensas de los últimos años para quienes tienen que proteger la infraestructura digital. Una conversación sobre hacking, IA, internet, empresa y el nuevo equilibrio entre atacantes y defensores.

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Get our AI Newsletter Stack (with prompts): https://clickhubspot.com/weqr Ep 430 55% of buyers of a $10 playbook became paying users for Beehive, driving massive business value. Kipp and Tyler Denk (Co-Founder and CEO of beehiiv) dive into how founder-led content, owned audiences, and strategic digital products can supercharge growth—even without massive scale. Learn more on the power of email as a direct, owned channel, building trust and community through transparency, and why even niche, high-intent audiences can unlock serious monetization and brand loyalty in the creator economy. Mentions Tyler Denk https://www.linkedin.com/in/tyler-denk beehiiv https://www.beehiiv.com/ Morning Brew https://morningbrewinc.com/ Business Insider https://www.businessinsider.com/ Cloudflare https://www.cloudflare.com/ David Senra https://www.davidsenra.com/ Loop: Outlearn. Outmarket. Outgrow. https://a.co/d/03y0GZHi 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/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  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   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. 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.

A founder builds something people trust. Customers love it. Employees believe in it. Investors are happy.Then, slowly, something changes.The targets shift. The incentives change. The message stays the same – but the behaviour doesn't.And trust starts to fade.In this episode, I sit down with Eric Ries @theericriesshow – author of Incorruptible and The Lean Startup – and one of the most influential thinkers in modern entrepreneurship. We talked about why so many companies start with strong values and drift over time – even when leaders care about doing the right thing.Eric shares powerful stories – from Cloudflare's “unspoken mission” to Sol Price, the father of modern retail, and the paradox of success that can make great companies vulnerable.One idea keeps coming back:Communication isn't just what you say.It's what people see repeated in decisions, incentives and trade-offs.We explore why mission statements often fail, why jargon weakens clarity, and why trust – not strategy, not growth, not even innovation – shapes long-term success.We also talk about what happens under pressure.Because that's where leadership communication is tested.What You'll Learn:* Why people believe what you reinforce, not just what you say * How to align your message with incentives and decisions* Why inconsistent signals weaken trust inside teams* How to communicate purpose so it holds under pressure* What leaders do differently when they build lasting trustIn This Episode:03:45 – The story behind Incorruptible08:21 – Why business jargon weakens communication09:17 – Cloudflare's unspoken mission17:47 – External pressure and “financial gravity”24:55 – When people stop believing your message25:30 – You can't command an organisation28:46 – Sol Price and the power of ethos34:29 – The paradox of success47:01 – Trust as the most underrated assetIf you lead a team, build a business or communicate ideas for a living, this episode will change how you think about communication.We hope you enjoy it! ———————Eric Ries:* Book website: https://www.incorruptible.co/ * LinkedIn: https://www.linkedin.com/in/eries/ * X: https://x.com/ericries * Instagram: https://www.instagram.com/ericriesactual/ * Newsletter: https://news.theleanstartup.com/ * Podcast: https://www.youtube.com/@theericriesshow ———————IDEAS ON STAGE RESOURCES * Timeless Presenter & Confident Presenter (books) – free copy: https://bit.ly/claimyourbooks   * Business Presentation Revolution (book): https://www.ideasonstage.com/resources/books/business-presentation-revolution-book/ * The Confident Presenter Scorecard: https://ideasonstage.com/score * Free Web Class: https://www.ideasonstage.com/uk/events/   #IdeasOnStagePodcast #LeadershipCommunication #BusinessCommunication #OrganizationalCulture

Join Itai Gafni, Co-Founder and CEO of Huskeys, for an unvarnished evaluation of why web application firewalls (WAF) have remained functionally stuck in the 1990s. While modern application traffic has evolved from human browsers to a complex matrix of APIs, automated microservices, and autonomous AI agents, legacy WAF solutions still rely on brittle, static rule sets. An alumnus of Israel's elite Unit 8200 where he engineered advanced intelligence and cyber platforms, Itai is leading a massive paradigm shift. In this episode, we discover why security teams are terrified of updating their firewall rules—and how introducing an agentic control plane allows enterprises to optimize threat detection without breaking production or driving away legitimate customer revenue.

Hoje o papo é sobre IA no RH e na gestão de pessoas! Neste episódio, conversamos sobre como a inteligência artificial e os agentes de IA estão chegando às áreas de pessoas, e os impactos disso na gestão, nos processos seletivos, na cultura corporativa, no desenvolvimento de lideranças e até no desenho das organizações. Vem ver quem participou desse papo: Paulo Silveira, o host que quer saber se é top-down, ou bottom-up Vinny Neves, cohost, dev e professor na Alura Valéria Marretto, diretora de pessoas do Itaú Daniel Linhares, diretor de gente na Localiza Raphael Bozza, VP de pessoas no iFood Tavane Gurdos, CEO da Alura Business  Links:  CEO da CloudFlare fala sobre builders, sellers, e mensuradores Case de transformação do Itaú para Agile e Squads Texto original de Jeff Bezos sobre decisões one-way-door e two-way-doors (PDF) Jack Dorsey: From Hierarchy to Intelligence Paulo Silveira Comenta: Da Hierarquia à Inteligência, de Jack Dorsey – Hipsters Ponto Tech #514 CEO da Bolt comenta demissão em massa, incluindo o time de RH Grit, TED Talk de Angela Lee Duckworth Livro Grit: The Power of Passion and Perseverance, de Angela Lee Duckworth O Paradoxo de Stockdale Conheça o Alun Business Vá para o Vale do Silício com Paulo Silveira, Marcell Almeida, Fabrício Carraro e Marcus Mendes na “Imersão IA Sob Controle e Alura no Vale do Silício“! Vagas limitadas, corra para reservar a sua. TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

Show DescriptionDave's upgrading his office with a 3D printer, Chris is ordering 3D printed parts for his van, using mobile Starlink, Chris redesigned his website, playing puzzle games like Statedoku, Chess Peace, and Clues by Sam, how CodePen is going to support pointing domains at your app, and what Vite getting bought by Cloudflare signals. Listen on WebsiteWatch on YouTubeLinks Kagi - Reclaim the Web & Restore Your Privacy A week on the road The New Van – Chris Coyier Chris Coyier – Web craftsman, blogger, author, speaker. Social RSS (?) – Chris Coyier Statedoku — Daily US States Puzzle | Sudoku Meets American Geography Chess Peace - A Peaceful Chess Puzzle Game for iPhone, iPad & Mac Clues By Sam Online Courses • Josh W. Comeau JavaScript for Everyone - Piccalilli SponsorsMacroMacro is a tool to cut through the noise - It's a workspace built for engineers; One place for all your emails, tasks, team chat, and documents. Sign up at Macro.com and get $100 of your subscriptions using code SHOPTALK100

In this episode of the mnemonic security podcast, we're joined by Joe Sullivan - former Chief Security Officer at Uber, Facebook, and Cloudflare, federal cybercrime prosecutor, and one of the most consequential figures in the history of the CISO role. The conversation explores the security implications of AI becoming part of everyday life, from AI note-takers to wearables and humanoid robots. Joe discusses the privacy, legal, and security challenges these technologies introduce, why organisations need clear policies and stronger governance to manage them, and how the role of the CISO is expanding as AI risk moves higher up the boardroom agenda.Send us Fan Mail

In this episode: people are still writing new programming language, Microsoft is going all "developers, developers, developers" again, and bots are apparently outnumbering humans on the web now.Timestamps:1:55 - Bot traffic has passed human traffic5:28 - The Jam programming language12:04 - Jack at Microsoft Build29:26 - Cloudflare bought VoidZero34:46 - Red Hat is the latest victim of Shai Hulud38:39 - Anthropic wants AI dev to slow down41:35 - Someone used a Waymo in a robbery46:47 - What's making us happyNews:Paige - There's a new programming language called JamJack - Microsoft Build coverageTJ - Bot web traffic has passed human web trafficLightning News: Red Hat is the latest victim of Shai Hulud on npmAnthropic wants AI development to slow down for the public goodPolice have yet to catch a thief who used a Waymo to steal yoga clothesCloudflare bought VoidZeroWhat Makes Us Happy this Week:Paige - For All Mankind TV seriesJack - Custom Microsoft swagTJ - Claude Desktop BuddyThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Welcome to Episode 2.35 of The Eastern Border: "SPIEF 2026: We can. But why?"While the Russian elite dine on 18,500-ruble elk lips at the St. Petersburg International Economic Forum alongside Andrew Tate and Scott Ritter, the empire is bleeding out. Vladimir Putin accidentally admits his apocalyptic "Oreshnik" missile was intentionally tested on an empty shed. Ukrainian AI-guided drones have turned the R-280 land corridor into a 200km slaughterhouse, triggering a catastrophic fuel famine and rationing in Crimea. And to hide the smoke from their own citizens, Roskomnadzor's war on Cloudflare is accidentally bricking the Russian banking sector.Join us from the GonzoLab as we dissect the Z-patriot meltdowns, the "Cheburnet" kill-switch, and the Kremlin's desperate pivot to a 20-year infinite war.Become our patron:https://www.patreon.com/theeasternborderMerch store + another option for memberships:https://theeasternborder-shop.fourthwall.com/Follow what's going on here in the very border of Eastern Europe:https://bsky.app/profile/theeasternborder.lvDownload all episodes for free on our website; pictures accompanying certain episodes can be found there as well!http://theeasternborder.lv/Car4Ukraine Eastern Border Summer Campaign!https://car4ukraine.com/campaigns/summer-sunshine-trucks-2026-eastern-borderSupport this show http://supporter.acast.com/theeasternborder. Hosted on Acast. See acast.com/privacy for more information.

Flathub maintainers are sick of AI, Windows broke Jeff's laptop, and Xorg has even more vulnerabilities. Cloudflare covers in glorious detail a bug where Idle wasn't idle, Ardour gets even better with 9.7, and Valve is continuing to improve the gaming on Linux experience. Windows adds rust coreutils, and Ubuntu is looking to the future. For tips, we have Croft, a tui clone of vscode; cachy-chroot, an easier way to rescue your system; mv, the simple command to move files; and resolvectl, the best tool for peering into systemd-resolved. You can find the show notes at https://bit.ly/4odmUUo and happy Linuxing! Host: Jonathan Bennett Co-Hosts: Rob Campbell, Jeff Massie, and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: bitwarden.com/twit

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

Flathub maintainers are sick of AI, Windows broke Jeff's laptop, and Xorg has even more vulnerabilities. Cloudflare covers in glorious detail a bug where Idle wasn't idle, Ardour gets even better with 9.7, and Valve is continuing to improve the gaming on Linux experience. Windows adds rust coreutils, and Ubuntu is looking to the future. For tips, we have Croft, a tui clone of vscode; cachy-chroot, an easier way to rescue your system; mv, the simple command to move files; and resolvectl, the best tool for peering into systemd-resolved. You can find the show notes at https://bit.ly/4odmUUo and happy Linuxing! Host: Jonathan Bennett Co-Hosts: Rob Campbell, Jeff Massie, and Ken McDonald Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show 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 Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: bitwarden.com/twit

Erik Reppel, Head of Engineering at Coinbase Developer Platform, joins the Consensus mainstage to make the case for internet-native payments. The internet was built for humans, but AI agents are taking over and they don't click ads. x402 is an open standard that finally gives the web a native payment layer, built on a forgotten HTTP status code that's been sitting unused since 1994. Created by Reppel and now backed by Visa, Stripe, Cloudflare, Microsoft, and others under the Linux Foundation, it lets any agent pay for any content or API with two lines of code and a stablecoin transaction that costs less than a cent. - Timecodes: 00:00 - Erik from x402 at Consensus Miami 2026 00:48 - The Internet Was Designed for Humans, Not Agents  03:53 - AI Is About to Break the Internet's Economic Model  05:03 - Defining What an Agent Actually Is  08:59 - Open Protocols vs Walled Gardens  12:21 - x402: An Open Standard for Internet Native Payments  15:02 - Why Now Is the Right Time for Agentic Payments

Anthropic brings Mythos to the NSA. A Palantir executive emerges as a possible CISA pick. A Linux flaw is under active attack. Minecraft malware goes commercial. An npm package gets caught in the Miasma worm campaign. Researchers document the first AI-driven container escape. A browser supply-chain compromise and a university breach with unexpected victims. Our guest is Ashu Savani, Co-Founder at TryHackMe, discussing building high performing SOC & IR teams. The web becomes machine majority. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest On today's Industry Voices segment, we are joined by Ashu Savani, Co-Founder from TryHackMe, discussing building high performing SOC & IR teams. You can listen to the full conversation here. Selected Reading US National Security Agency using Anthropic's Mythos for cyber attacks (Financial Times) Trump considers Palantir exec to lead CISA (The Record) CISA Warns of Active Exploitation of Linux Container Escape Flaw (Beyond Machines) Game Over: WeedHack - The Rise of Minecraft Malware-as-a-Service Campaigns (McAfee Blog) Detecting Claude Cowork Insider Threat Activity (DTEX) Trojanized ai-sdk-ollama Delivers Miasma, a Self-Replicating npm Worm via binding.gyp (Endor Labs) Agentic threat actor hits the orchestration plane: AI agent-driven container escape (Sysdig) You do surprise me.exe: An unexpected executable in Hola Browser (SOPHOS) My SSN was exposed in a breach at Columbia—a school I have no connection with (Ars Technica) ‘Bots have now passed human traffic online,' Cloudflare boss laments — says agentic traffic wasn't expected to eclipse real people until next year (Tom's Hardware) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Bots passed human web traffic for the first time, per Cloudflare's CEO. The S&P 500 rejected fast-entry for mega-cap IPOs like SpaceX. Anthropic embedded engineers at the NSA, Meta hid face-recognition code in its app, and Cambridge trialed the first AI-designed vaccine. Cloudflare CEO Matthew Prince says agentic traffic is "growing so fast that bots have now passed human traffic online for the first time" (Tom's Hardware) S&P Dow Jones rejects proposals to expedite S&P 500 eligibility for mega-cap IPOs such as SpaceX's; companies remain ineligible until one year after their IPOs (Bloomberg) Sources: Anthropic has embedded around half a dozen forward-deployed engineers within the NSA to help the agency deploy Mythos for offensive cyber operations (FT) Analysis: Meta discreetly added code for an unreleased "NameTag" face-recognition system for its AI smart glasses over multiple Meta AI app updates in 2026 (Wired) University of Cambridge researchers say they have developed the first vaccine with a key component entirely designed by AI and subsequently trialed it in humans (BBC) Longreads A preview of what to expect from WWDC on Monday, including iOS 27, a revamped Siri, macOS 27 Liquid Glass refinements, and more (Bloomberg) Ted Chiang argues LLM conversations are cleverly disguised sentence continuation, not consciousness, and that no intrinsic property of neural networks suggests otherwise (The Atlantic) Learn more about your ad choices. Visit megaphone.fm/adchoices

I have been with the internet from the very beginning, learning how to make primitive HTML 1.0 web sites all the way back in 1994, to publishing one of the most-visited end times prophecy sites in the world, Now The End Begins. During all that time, I have watched at the internet has inserted itself deeper and deeper into our daily lives, to the point where every aspect of our lives are now run through it. So it is a tad shocking, albeit not surprising, to see AI bots swooping in to now take control of the whole thing. To what end? To the time of the prophets and the Days of Noah.“And that no man might buy or sell, save he that had the mark, or the name of the beast, or the number of his name.” Revelation 13:17 (KJB)On this episode of the Prophecy News Podcast, Cloudflare says that automated bot traffic has now passed human web traffic, with bots accounting for roughly 57.4% to 57.5% of HTTP requests across selected websites, compared with about 42.5% to 42.6% from humans. This is not merely about the old search-engine crawlers indexing websites for Google, Bing, or other platforms. The new wave is being driven by AI agents, scrapers, automated browsers, commercial bots, and machine-to-machine traffic operating at a scale human users cannot match. Cloudflare CEO Matthew Prince said this shift happened faster than he expected, after previously projecting that bots would overtake human traffic closer to 2027. The spiritual application is obvious. Man built the internet thinking he was creating the ultimate human communication system, but it is rapidly becoming a machine-driven environment where automated intelligence increasingly mediates what people see, read, buy, believe, and trust. That is not a neutral development. It is part of the accelerating end-times infrastructure of control, surveillance, deception, and counterfeit knowledge. What we are watching is not simply a tech trend. It is the continued transformation of the internet from a human communications network into an automated control grid, where AI systems do the searching, filtering, summarizing, recommending, suppressing, ranking, and eventually transacting. The bots are no longer just visiting the web, they're running it.

PHP Podcast – June 4, 2026 Hosts: Eric Van Johnson & John Congdon Another fun episode of the PHP Podcast! Here’s what we covered: PHP Tek 2027 — New Dates, Bold New Format Mark your calendars: PHP Tek 2027 is happening April 27–29 in Chicago, and Eric and John are shaking things up. Rather than a straight three-day PHP conference, next year gets three tracks — two of which are familiar PHP-focused content, and a third specialty track that rotates each day: one day of JavaScript, one day of DevOps, and one day of Laravel. The Laravel track is specifically focused on how developers actually use the framework day-to-day, not a product pitch. Single-day passes will be available, so if you’re only coming for the DevOps or JS day, you’re covered. One important heads-up: there’s a big convention happening at a venue nearby in Rosemont, so the hotel block could sell out faster than usual. When they open reservations, don’t wait. Holly the Elephant Is Going Fast The PHP Architect conference elephant, named Holly, is now available at store.phparch.com, and demand has been remarkable. Eric woke up one morning to a flood of orders and genuinely couldn’t figure out what happened. The warning from last year applies here: people said they’d grab Tony later, and now Tony is gone forever. Holly ships June 17th for most orders, but if you’ve already ordered, it’s likely on its way. Get yours while you can. PHP Tek TV Is Doing Something Different This Year In past years, conference talk videos would get edited and uploaded weeks (or months) after the event. This year, John is doing things differently: the raw, unedited recordings are going up now, with timestamps in the description so you can jump straight to specific talks — some rooms recorded a seven-hour continuous feed and just left it running. The clean edited versions are still coming (a video editor friend in the UK is on it), but if you want to see a talk right now, the raw version is there. Audio quality varies by room, but it’s watchable. Immich — A Self-Hosted Google Photos That Actually Works John has been running Immich, a self-hosted photo management platform, in a Docker container for about a month and loves it. It does facial recognition, GPS tagging, and auto-uploads from his phone — essentially everything he cares about in Google Photos, without handing his photos to Google or Apple. He’s now planning to use it as the PHP Architect conference photo library, centralizing all the Tech photos in one browsable, shareable place. It’s fully open source, with no licensing cost, and an optional donation tier. If you’re sick of paying ever-increasing storage bills to big tech companies, this is worth a look. Ben Ramsey’s PHP Tek Homecoming Article Is Free to Read The May issue of PHP Architect magazine is now available to digital subscribers, and this month’s free article is Ben Ramsey’s piece on the PHP Tek homecoming experience. Eric reached out to Ben last minute and he delivered. If you’ve never subscribed, this is a low-barrier way to see what the magazine is like. Head to phparch.com, grab the free article, and if you like what you see, subscriptions are not expensive. John Is Resurrecting a Legacy Laravel App — With Claude’s Help John has been grinding away on a Laravel 6 app that was a passion project years ago and has now been revived as an actual client project. Using Claude to methodically baby-step through each version upgrade — starting with writing tests to establish a baseline — he’s worked up through the major Laravel versions. The turning point came when he hit the version where the old event sourcing package (Prooph) was clearly on its way out, and the decision was made to migrate to Verbs, Nuno Maduro’s Laravel-native event sourcing package. John’s now looking forward to it. He’s also accidentally been burning tokens on the company Anthropic account (not his personal account), which Eric caught live on air. They are going to talk about it after the show. Eric’s Mystery Side Project Is Almost Ready — If DNS Would Cooperate Eric teased a new side project last week and intended to reveal it this week, but he’s stuck waiting on DNS propagation. The domain was registered with DigitalOcean DNS already in use by a previous owner, so Eric moved it to Cloudflare — only to discover there may be a conflict because the previous owner was also on Cloudflare. The result: the name servers are stuck on old values. John’s live suggestion was to move it to Route 53, and Eric was immediately sold. The project is almost ready to show the world, DNS gods willing. Meta’s AI Support Bot Got Socially Engineered Eric shared a video demonstrating how someone prompt-injected Meta’s AI customer support bot into sending a verification code to an attacker-controlled email address — and then using that code to add the email to an account, enabling a full password reset and account takeover. The irony: Meta is the company behind Llama and has some of the deepest AI expertise on the planet, and they still shipped a support bot with permissions it shouldn’t have. Eric’s point was pointed: you can fire a human employee who gets social engineered, which creates accountability throughout the team. An AI has no such incentive structure. Crowbarring AI into account-modification workflows without appropriate guardrails is just asking for this. The PHP Foundation Now Publishes Board Meeting Minutes Eric discovered that the PHP Foundation has started publishing their board meeting minutes in a public GitHub repository. Nothing earth-shattering yet, but seeing who attended, what was discussed, and what decisions are being made gives the community a real window into how the foundation operates at scale. It also helps explain something Eric and John have always found interesting: why PHP stalled so hard between versions 5 and 7. There was no foundation, no financial backing, just volunteer hours. Now there’s a paid staff and governance structure — and the minutes show exactly how complex running something at PHP’s scale actually is. The PHP Foundation Has a Dedicated Security Team Now Speaking of the Foundation, it now has a dedicated security team — a sign of how seriously the supply chain attack problem has gotten. AI tools are being deployed by black hat actors to find vulnerabilities in open source projects at a scale that wasn’t possible before. PHP is not just another open source project; it underpins a massive slice of the web, and companies depend on it staying secure. Having a team specifically focused on this is the right call, even if it’s a sobering reminder of where the threat landscape is heading. Moat — Nuno’s GitHub Security Auditing Tool Nuno Maduro (of Laravel fame) quietly shipped a tool called Moat that audits your GitHub presence for security gaps. Install it globally via Brew or Composer, point it at your GitHub org, a specific repo, or even a specific branch, and it gives you a report on where your security posture could be improved. It’s read-only — it won’t change anything — and it’s explicit that it is not a security certification. Eric wants to use it to audit the PHP Architect organization’s repos, many of which haven’t been touched in years. Think of it as a fast, opinionated triage tool, not a replacement for a real security audit. Links from the show: PHP Tek 2027 — Chicago, April 27–29 PHP Architect Store — Holly the Elephant Immich — Self-Hosted Photo Management PHP Architect Magazine Verbs — Laravel Event Sourcing by Thunk Moat — GitHub Security Auditing by Nuno Maduro PHP Foundation on GitHub PHP Architect Discord Host: Eric Van Johnson X: @shocm Mastodon: @eric@phparch.social Bluesky: @ericvanjohnson.bsky.social PHPArch.me: @eric John Congdon X: @johncongdon Mastodon: @john@phparch.social Bluesky: @johncongdon.bsky.social PHPArch.me: @john Streams: Youtube Channel Twitch Connect & Hire PHP Architect Website Twitter/X Mastodon Hire PHP Developers Looking to hire PHP developers? Email support@phparch.com – Joe and the team are available for consulting, infrastructure work, Ansible playbooks, and code review. Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore CodeRabbit Cut code review time & bugs in half instantly with CodeRabbit. Music Provided by Epidemic Sound https://www.epidemicsound.com/ Join Us Live Next Week Youtube Channel Got feedback? Join us on Discord at discord.phparch.com The post The PHP Podcast 2026.06.04 appeared first on PHP Architect.

Hoy hablamos de la nueva memoria editable de ChatGPT, de Anthropic diciendo que Claude ya escribe más del 80% del código que fusionan, del reconocimiento facial oculto en las gafas de Meta, de cómo los bots ya superan a los humanos en la web según Cloudflare y del regreso del gusano barrenador a EE. UU. tras décadas.Puedes seguirnos en YouTube en https://youtube.com/olivernabani y puedes unirte al Discord Mashain en https://olivernabani.com/discord

Wir sprechen über aktuelle Technikthemen rund um Infrastruktur, Open Source und KI. Ein Schwerpunkt ist Sebastians stark automatisierte Kubernetes-Umgebung auf Talos Linux mit GitOps und KI-Agenten unter menschlicher Kontrolle. Außerdem diskutieren wir Plattformfragen, Sicherheits- und Lieferkettenthemen sowie verschiedene KI-Entwicklungen. Zum Schluss greifen wir noch einige kleinere Themen aus dem Entwickleralltag und Werkzeuge für lokale LLMs auf. Blast from the Past Kubernetes Cluster ist nun live! https://www.siderolabs.com/talos-linux https://github.com/kreativmonkey/homelab-gitops payphonetag Froscon Toter der Woche Aus für De-Mail – warum das @ das eingekringelte e besiegte wero Aus für Ubuntu Pastebin – Abschaltung Ende Juni 2026 feedburner Untoter der Woche Stuxnet's Older Brother Revealed After 21 Years (video) fast16 | Mystery Shadow Brokers Reference Reveals High-Precision Software Sabotage 5 Years Before Stuxnet AI der Woche Continue Y/N Torvalds nennt KI Bug Reports “reine Zeitverschwendung” … aber curl Entwickler “zeigt sich versöhnlich” https://hothardware.com/news/new-ai-cyber-worm-thinks-up-its-own-attacks-to-infect-computers Anthropic: Weltweite Pause bei KI-Entwicklung ‘sinnvoll’ Anthropic Bewertung 965 Millarden rsync drama rsync analyse Google Chrome silently installs a 4 GB AI model on your device EU AI Act: Transparenzpflichten ab August 2026 Jakob gewinnt Gemma4 12B Bonsai 4b News Backblaze has quietly stopped backing up your data Debian must ship reproducible packages Cloudflare kauft Vite: Open Source und herstellerneutral – mit Millionenfonds https://arstechnica.com/security/2026/06/dozens-of-red-hat-packages-backdoored-through-its-offical-npm-channel/ https://www.golem.de/news/nur-ein-client-noetig-http-2-bomb-legt-webserver-in-sekunden-lahm-2606-209396.html Blog Post Themen Was eigentlich wenn kein GitHub? Ghostty Is Leaving GitHub Codeberg Gitlab BitBucket (nein!) Hackergarten 3D-Druck der Woche Bambu Lab: I’m reposting your code & I dare you to sue me. (video) Bambu Lab 3D printers: Never again (video) baltobu Zauberstab zum Bezahlen Weltumwelttag “PET Recycling” Mimimi der Woche modules C++20 tooling Python click Nix & SELinux Nix: cross-compiling Updates sind scheiße! Brother Drucker mit neuem Zertifikat Cosmic Desktop Nix Logo Lesefoo I put a datacenter GPU into my PC searchcode.com's SQLite database is probably 6 terabytes bigger than yours How I run multiple $10K MRR companies on a $20/month tech stack Serving a Website on a Raspberry Pi Zero Running Entirely in RAM NixOS auf Flint 2 You don’t love systemd timers enough! Picks IPv8 is finaly here Internet Protocol Version 8 (IPv8) The Unsolved Mystery of Lorem Ipsum (video) ODROID H5 Mechanical Pencil Umweltkosten durch Vibe Coding: Tool berechnet CO₂-Ausstoß für Claude Code Artikel von Heise taken (again)

Michael and Jake are joined by Jason "JMac" McCreary to talk the impact of AI on Laravel Shift and modern upgrade workflows, and his latest Fast Laravel course focused on edge caching and application performance.Jason shares how Laravel Shift has evolved alongside AI-assisted development, why recent Laravel releases have changed the upgrade landscape, and why he still believes there's value in keeping applications aligned with the latest framework conventions rather than simply running composer update. The conversation explores how AI tools are influencing developer workflows, the future of upgrade automation, and new ways Shift is integrating with agentic coding tools. The second half of the episode dives deep into Fast Laravel, Jason's course on making Laravel applications dramatically faster using Cloudflare edge caching. Drawing on decades of web development experience, he explains why page caching remains one of the most effective performance techniques available, how Laravel's default stateful behaviour can prevent effective caching, and the practical steps required to achieve cache rates approaching 99% on real-world applications.Show LinksLaravel ShiftShift AI SkillsFast LaravelSeparate `static` middlewareManaged queues on Laravel CloudLaravel Cloud

News and Updates: Pope Leo's AI Encyclical: Pope Leo XIV's first encyclical, Magnifica Humanitas, calls for AI to be "disarmed" from monopolistic control and refocused toward humanity's common good, citing Tolkien's Gandalf. Vatican AI Translation: St. Peter's Basilica debuts an AI-powered real-time translation system, allowing Mass attendees to follow liturgical celebrations in up to 60 languages via their smartphones. Bezos on AI & Jobs: Jeff Bezos urges workers to embrace AI like a bulldozer replacing a shovel, predicting massive productivity gains, while others like Dario Amodei warn of significant white-collar job displacement. News Archives Blocked: Over 382 U.S. news outlets are now blocking the Internet Archive's Wayback Machine, fearing AI companies will use archived content as free training data, threatening free public access to journalism. Mythos Uncovers 10K Bugs: Anthropic's restricted Claude Mythos AI has identified over 10,000 critical software vulnerabilities across major platforms, including 400 high-severity flaws in Cloudflare's critical systems alone.

What jobs will AI replace, and which ones will become more valuable?Matthew Prince, co-founder and CEO of Cloudflare, recently wrote an op-ed in The Wall Street Journal about how he chose which employees to replace with AI. His argument: AI is not coming equally for every role. It's coming first for the people inside organizations who measure, report, analyze, audit, manage, and process information.In this solo episode of The TechEd Podcast, Matt Kirchner responds to Prince's article and examines what it reveals about the future of work. Drawing on Peter Drucker's framework of builders, sellers, and measurers, Matt breaks down why some jobs are likely to be heavily disrupted while others may become even more valuable.The uncomfortable truth: AI may reduce the need for many traditional middle management, finance, operations, and measurement-heavy roles. But it also increases the value of people who create products, build relationships, solve customer problems, lead change, and turn technology into business value.From sales and engineering to marketing, STEM education, data science, and applied AI, this episode explores where human talent still matters most, and what businesses, educators, and professionals need to do now to prepare for the next phase of workforce disruption.5 Big Takeaways from this Episode:1. Businesses need to start their AI journey now. AI is already changing how companies operate, compete, hire, and structure their teams. Organizations that have not assigned someone to understand how AI will disrupt their business, market, or institution are already behind.2. Measurers and mid-level managers will be disrupted the most. Roles centered on reporting, processing, auditing, analyzing, tracking, and managing information are increasingly vulnerable to AI. The opportunity is not to ignore that disruption, but to become the person who knows how to use AI to do that work better, faster, and more strategically.3. Personal relationships become more important in the AI age, not less. AI can automate parts of sales, marketing, and customer engagement, but it cannot earn trust the way people do. Sellers who understand customer needs, build relationships, solve problems, and use data intelligently will remain critical to business growth.4. Creativity and leadership still rule the day. AI gives more people access to the same tools, but it does not replace the ability to see opportunity, connect ideas, build a brand, lead change, or execute a vision. In marketing, business leadership, product strategy, and innovation, creative and decisive people will continue to create value.5. The future belongs to builders. Engineers, skilled tradespeople, manufacturing talent, STEM professionals, automation specialists, and applied AI practitioners are positioned to become even more important. If AI makes builders more productive, companies will need more of them, not fewer, especially in fields tied to physical AI, robotics, smart manufacturing, autonomous systems, drones, and the edge-to-cloud continuumResources in this Episode:Read Matthew Prince's op-ed in the Wall Street Journal: "How I Choose Which Cloudflare Employees to Replace With AI"Episode page: https://techedpodcast.com/cloudflare/We want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

How small business owners can build mission-driven companies that earn trust, create long-term value, and avoid the traps that cause good businesses to lose their way. Show Notes Page: https://www.thehowofbusiness.com/609-eric-ries-incorruptible/ What causes good companies to go bad? According to Eric Ries, author of The Lean Startup and his new book Incorruptible, it often begins when organizations lose sight of their true mission and start making decisions based solely on short-term financial results. In this episode, Henry Lopez speaks with Eric Ries about how entrepreneurs can build businesses that stay true to their purpose as they grow. Eric shares why mission is much more than a statement on a wall, how trust becomes a powerful competitive advantage, and why governance structures matter even for small businesses. They discuss real-world examples from companies like Cloudflare, Patagonia, Costco, and Taylor Guitars, exploring how organizations can make principled decisions that strengthen trust and create long-term value. Eric also explains why profit is often misunderstood and how business owners can think differently about profitability, purpose, and organizational longevity. The conversation concludes with Eric's thoughts on how AI is accelerating entrepreneurship and why founders who move quickly, learn rapidly, and remain grounded in their mission will be best positioned for the future. Whether you're launching a startup, leading a growing company, or planning for succession, this episode offers valuable insights on building a business that endures. Eric Ries is an entrepreneur, author, and creator of the Lean Startup methodology. His work on innovation, entrepreneurship, governance, and long-term company building has influenced founders and business leaders around the world. He is the bestselling author of The Lean Startup, The Startup Way, and Incorruptible. This episode is hosted by Henry Lopez. The How of Business podcast focuses on helping you start, run, grow and exit your small business. The How of Business is a top-rated podcast for small business owners and entrepreneurs. Find the best podcast, small business coaching, resources and trusted service partners for small business owners and entrepreneurs at our website https://TheHowOfBusiness.com

The US public's tastes and habits are fragmenting, leading to new consumer behaviours. The shift from a handful of TV networks to an endless supply of streamed shows and social media clips is just one of many causes. Investment manager Dave Bujnowski discusses the characteristics that determine which growth companies should thrive in the resulting ‘high entropy' environment.Dave Bujnowski is an investment manager in our US Equity Growth Team and co-manager of the Baillie Gifford U.S. Equity Growth Fund and our American Fund. In this conversation, he tells Short Briefings… host Leo Kelion about his work with anthropologist Dr Grant McCracken, studying the causes and effects of the fragmentation of American culture. They believe that US culture is a system that has entered a ‘high entropy state' – meaning that tastes and habits no longer change in an orderly manner. The result is “tremendous instability” and a sense of “continual pandemonium”. This shift, they argue, has implications for growth companies and helps explain why some are struggling to maintain mass-market appeal. But the disorder also plays to others' advantage, and they have sought to identify which will thrive and why. Portfolio companies discussed include:·      Cloudflare – the service that protects websites from attack and optimises their performance·      DraftKings – the sports gambling platform that lets Americans bet on sporting events·      Samsara – the Internet of Things specialist helping companies track and make sense of data·      SharkNinja – the home appliance company behind the CREAMi ice-cream maker·      Shopify – the ecommerce platform serving merchants ·       Resources:Dr Grant McCrackenShort Briefings on Long Term Thinking podcast archiveThe Long View collectionThinking in SystemsWhen systems fragment: entropy, cultural change and the next great US companies  Companies mentioned include:·      Alphabet (Google)·      Amazon·      Cloudflare·      DraftKings·      Meta·      Netflix·      Samsara·      SharkNinja·      Shopify·      SpaceX Timecodes:00:00  Introduction02:05  System-level thinking03:20  How change happens06:10   Entropy and fragmentation08:15   A conversation with Cloudflare's CEO10:20   Ants and anthropology13:25   Grant McCracken on North Sea culture15:15   The causes of splintering culture17:05   New consumer behaviours19:15   Challenging times for lululemon21:00   Shopify and agility23:10   Agentic commerce25:40  SharkNinja and new niches28:30  DraftKings and cultural anchors30:40  Samsara's entropy antidote32:10   Finance and space: systems to watch33:50  Book choice  Glossary of terms (in order of mention): Entropy: In this podcast, a metaphor for systems becoming more fragmented, varied and harder to predict.Cash flows: The money moving into and out of a business.Market cap: The total stock-market value of a company: share price multiplied by number of shares.S&P 500: A major US stock-market index of large companies.Second law of thermodynamics: A physics principle often simplified as the tendency of energy in a closed system to spread out over time. Mainframe: A large, central computer used by organisations to process major computing tasks. Big iron: Informal technology term for large, powerful central computers. MMA: Mixed martial arts, a full-contact combat sport. Delulu: Internet slang for optimistic or unrealistic self-belief. Short for ‘delusional'. Traffic aggregation: Bringing together large numbers of users or customers in one place, often online. Total addressable market (TAM): The total potential market size for a product or service if it reached all possible customers. Prediction markets: Markets where people trade contracts based on the likelihood of future events. Internet of Things: Everyday equipment connected to the internet so it can collect and share data.     

This is a recap of the top 10 posts on Hacker News on May 31, 2026. This podcast was generated by wondercraft.ai (00:30): Cloudflare Turnstile requiring fingerprintable WebGLOriginal post: https://news.ycombinator.com/item?id=48345840&utm_source=wondercraft_ai(01:55): Creatine raises brain energy levels and slows cognitive decline: studyOriginal post: https://news.ycombinator.com/item?id=48346947&utm_source=wondercraft_ai(03:21): Please Do Not Vibe Fuck Up This SoftwareOriginal post: https://news.ycombinator.com/item?id=48342705&utm_source=wondercraft_ai(04:47): The Website SpecificationOriginal post: https://news.ycombinator.com/item?id=48343683&utm_source=wondercraft_ai(06:13): Codex just found a "workaround" of not having sudo on my PCOriginal post: https://news.ycombinator.com/item?id=48348578&utm_source=wondercraft_ai(07:39): Dav2dOriginal post: https://news.ycombinator.com/item?id=48344961&utm_source=wondercraft_ai(09:04): The solution might be cancelling my AI subscriptionOriginal post: https://news.ycombinator.com/item?id=48345896&utm_source=wondercraft_ai(10:30): 1-Bit Bonsai Image 4B Image Generation for Local DevicesOriginal post: https://news.ycombinator.com/item?id=48346257&utm_source=wondercraft_ai(11:56): United Airlines 767 returns to Newark after Bluetooth name sparks alertOriginal post: https://news.ycombinator.com/item?id=48345248&utm_source=wondercraft_ai(13:22): I put a datacenter GPU in my gaming PCOriginal post: https://news.ycombinator.com/item?id=48345694&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

这是一场正在我们眼皮底下发生、尚未被商业社会完全察觉的底层经济重构。 我们从最近热度爆表的Stripe Sessions大会切入，深入探讨了由AI和稳定币共同催生的AI支付或智能体支付（Agentic Payment）革命——当AI不再仅仅是聊天机器人，而是变成可以自主决策、自主消费的经济体时，商业模式、SaaS订阅制以及底层支付逻辑将发生怎样的颠覆？Stripe又是如何凭借其开发者优先的基因，试图成为下一个时代的支付基座？ 【主播】 刘锋，BODL Ventures合伙人，前链闻总编辑 熊浩珺Jack，律动BlockBeats副主编，《Web3无名说》主播 【你将听到】 00:44 引子：为什么我们要聊聊Stripe？ 02:55 Stripe Sessions的震撼：AI与Web3的超级交汇点，支付基础设施在AI时代的变革前夜 04:03 智能体商业爆发已经出现「奇点时刻」 10:49 Agentic Commerce（AI辅助人类决策和购买）vs. Agentic Payment（智能体自主决策消费完成自动化业务） 15:22 Stripe联合创始人John Collison详谈智能体支付可见的落地用例，以及微支付为什么这次真的成立 20:05 如何让智能体支付成为可能：X402协议与MPP机器支付协议的作用与差异 31:54 上手实践：大胆动手尝试，让自己的Agent试一下自主支付 34:46 「无头商户」兴起：AI时代的新型商家 38:02 从用户体验到「智能体体验」：Agent Experience成为新竞争点 43:51 Stripe的历史基因：为什么它努力推动这场变革 54:12 稳定币会替代法币支付吗？请让Agent自主作出决策 【词汇表】 本期播客提及的工具、公司与协议 平台与企业：Stripe, Coinbase, Robinhood, OpenAI, Vercel, Cloudflare, Adyen，Virtuals Protocol 底层协议与标准：X402协议, MPP (Machine Payment Protocol), SPT (Shared Payment Token) 钱包与支付基建：Tempo (稳定币与基建), Link 钱包 (CLI 版), Privy (钱包即服务 WaaS), Bridge (已被 Stripe 收购)，Circle，ARC 大模型及工具： Claude Code, Codex, Openclaw，Hermes Agent, Parallel Web Service，Exa 【后期】 AMEI 【运营】 朱婕 【BGM】 Mumbai - Ooyy 【在这里找到我们】 收听渠道：苹果｜小宇宙 海外用户：Apple Podcast｜Spotify｜Google Podcast｜Amazon Music 联系我们：podcast@sv101.net

As AI agents move from experiments to production, AWS, Cloudflare, and others are redesigning cloud infrastructure for a future dominated by machine-generated internet traffic instead of human users. Learn more about your ad choices. Visit podcastchoices.com/adchoices

AGENDA:  05:16 Nvidia Blowout Quarter: $81BN Revenues and Stock… Flat!  10:39 Uber and Microsoft Declare Productivity Gains Questionable from AI 25:26 The Layoffs Continue: ClickUp and Cloudflare 34:39 OpenAI S1: Is it a Race? How Will it be Received? 38:28 Do Anthropic Rush Out Their IPO Also? 45:49 SpaceX S-1: "Why I Would Never Invest" 48:06 Why Colossus is a Stroke of Genius By Elon 51:31 Data Centers In Space is BS and Will Not Be Core to SpaceX 58:04 Polsia Raises $30M at $250M Price: Is this the Peak?  01:06:08 Exa Raises at $2.2BN to Build Search for Agents 01:14:34 Is Replacing Your CRM with Vibe Coding Always Ragebait  

The new AIEWF website is live! CFPs close in 2 days and we will run our first New Engineer Orientation this weekend, get your tickets booked ASAP as they -will- sell out. Take the AI Engineering Survey and get >$2k in credits and free AIE WF tickets!One of the central tensions in the agents industry is that even while there are major decacorn agent labs like Sierra, Decagon, Notion and Cursor being built up, it is also true that it has never been easier to DIY agents, with a plethora of agent frameworks like LangGraph and Pydantic and Flue, and managed agents from Anthropic and Gemini and Amazon. There has been a wave of companies building their own background agents from Shopify to Stripe to Paradigm to Razorpay, and even Cognition's friends Ramp have built their own coding agent with other friend Modal.You'd think Cognition might feel a bit threatened, but they're not - even after all this, they were way oversubscribed for the $1B Series D they just announced:Walden Yan, coiner of context engineering and Chief Product Officer/Cofounder of Cognition, invited OpenInspect's Cole Murray to talk about why the Devin is in the Details.Full conversation live on the pod today: In retrospect, async agents were the most AGI pilled bet you could make in 2024 - the models weren't good enough yet to vibecode, and people didn't trust AI enough to let it rip, nobody (including early Cognition) was sure about the form factors. Now it is obvious:* The first wave of AI coding tools made the developer faster but remain heavily in the loop. Copilor and Cursor's tab autocomplete are prime examples However, the workflow was still heavily centered around and bottlenecked by the developer's local workflow: a developer in an IDE, watching the model, accepting or rejecting changes, and pushing code one interaction at a time.* The second wave was local agents: Claude Code, Windsurf, Cursor's agents pane: first one and increasingly many terminals all running concurrently.* The current Age of Async Agents points to a different future focused more on agent orchestration which drives end-to-end development.According to previous guest Steve Yegge, there are finer-grained 8 levels to agent adoption, but we have collapsed it into three.As Cursor's Michael Truell put it in The third era of AI software development:Cursor is no longer primarily about writing code. It is about helping developers build the factory that creates their software. This factory is made up of fleets of agents that they interact with as teammates: providing initial direction, equipping them with the tools to work independently, and reviewing their work.The agent should not sit solely inside the developer's flow. It should be setup to work in the background so that you can give it a task, a repo, a machine, a shell, a browser, tests, memory, and review loops to go do the work somewhere else.In less than a year, the sentiment has shifted from avoiding multi-agent systems:to suggesting approaches that actually work:From coining “context engineering” to building the infrastructure behind Devin's 7x PR growth and jump from 16% to 80% of commits across Cognition repos, Walden Yan has had a front-row seat to the background-agent shift. In this episode, Cognition co-founder and CPO Walden Yan joins swyx alongside Cole Murray, creator of OpenInspect, to unpack why everyone is building their own Devin, what changed after the December 2025 model inflection, and why “spec to pull request” is now becoming a real production workflow.We go deep on the architecture of background agents: harness-in-the-box vs out-of-the-box, why Devin separates the “brain” from the machine, why repo setup is still one of the hardest problems, why Docker is not always enough, and how full VMs, snapshots, scoped secrets, GitHub bots, Slack integrations, and video-based testing all fit together. Walden and Cole also dig into memory, MCP limitations, multi-agent orchestration, AI code review, SRE auto-triage, PMs shipping code from Slack, Windsurf 2.0, hybrid frontier/sub-frontier systems, and the real failure mode of uncontrolled vibe coding: your codebase regressing to your worst engineer.And as agents eat software… and software eats the world… you can draw the conclusion on what is next:We discuss:* Why the engineering world is waking up to background agents and cloud agents* The December 2025 model inflection that made spec-to-PR workflows practical* Devin's 7x merged PR growth and rise from 16% to 80% of commits* Why Cole built OpenInspect as an open-source background-agent system* The economics of $20/seat agent products and why monetization is tricky* What Cognition actually sells beyond Devin: infra, onboarding, integrations, and adoption* Harness in the box vs out of the box, and why architecture matters* Why Devin separates the brain from the machine for security and permissions* Repo setup, scoped secrets, Docker Compose, and agent-ready dev environments* Why full VMs matter when agents need to run real applications and test them* Android, macOS, Windows, nested virtualization, and machine-specific agent work* Why testing is much harder than “computer use”* Screenshots, video verification, and the “I know it works” merge moment* GitHub UX, Devin Review, AI reviewers, and agents responding to PR comments* Why MCP alone is not enough for first-class Slack and enterprise integrations* Memory, Knowledge, skills, Claude.md, and why retrieval is still unsolved* Devin's auto-generated memories and the challenge of memory pruning* Always-on agents as permanent PMs for issues, tickets, and product areas* Sub-agents, meta-Devin management, and what multi-agent systems actually add* Why pure auto-merge vibe coding breaks down after about two weeks* AI code smells, lint rules, reward hacking, and Semgrep for agent-written code* GitAI, inline context, and preserving the “why” behind code changes* Local testing, mock servers, older codebases, and preparing companies for agents* Windsurf 2.0 and the handoff between local foreground agents and cloud background agents* SRE auto-triage, support workflows, and agents as first responders* PMs, marketing, and non-engineers creating pull requests from Slack* AI agent budgets, $1k-$5k per engineer spend, and hybrid frontier/sub-frontier systems* The rise of autonomous coding factories and who Cognition is hiringWalden Yan* X: https://x.com/walden_yan* LinkedIn: https://www.linkedin.com/in/waldenyan/Cole Murray* X: https://x.com/_colemurray* LinkedIn: https://www.linkedin.com/in/colemurray/* OpenInspect / Background Agents: https://github.com/ColeMurray/background-agentsTimestamps00:00:00 Introduction00:00:43 Why Everyone Is Building Their Own Devin00:01:57 Devin's 2025 Ramp: 7x PR Growth and 80% of Commits00:03:49 OpenInspect and the Rise of Open-Source Background Agents00:07:59 What Cognition Actually Sells Beyond Devin00:09:56 Background Agent Architecture: Harness In vs Out of the Box00:12:08 Separating the Brain from the Machine00:14:07 Repo Setup, Secrets, Docker, and Full VMs00:19:13 Why Testing Is Harder Than Computer Use00:22:40 Video Verification and the “I Know It Works” Merge Moment00:23:19 GitHub UX, Devin Review, and AI Code Review00:25:42 MCP, Slack, and Enterprise Agent Integrations00:28:59 Memory, Knowledge, and Always-On Agents00:36:16 Sub-Agents, Multi-Agent Orchestration, and Meta-Devin00:43:55 Vibe Coding, Auto-Merge, and Codebase Decay00:48:38 Agent Infra, VPCs, Cloud Providers, and Fast VM Restore00:52:25 AI Code Smells, Reward Hacking, and Code Review Systems00:56:10 Making Codebases Agent-Ready00:58:30 Windsurf 2.0 and the Local-to-Cloud Agent Handoff01:01:15 SRE Auto-Triage, PMs Shipping Code, and Agent Use Cases01:04:32 Agent Budgets, Hybrid Models, and Autonomous Coding Factories01:06:51 Hiring at Cognition and OpenInspect Consulting01:07:45 OutroTranscriptIntroduction: Walden Yan, Cole Murray, and Context EngineeringSwyx [00:00:00]: All right, we're in the studio with Walden Yan, co-founder of Cognition, CPO.Walden [00:00:08]: Happy to be here.Swyx [00:00:09]: Which is a cool title. And coiner of context engineering.Walden [00:00:15]: Although I think there are many people who'd used the terms in various ways beforehand, but I did find that people, both internally and externally, enjoyed the upgrade from prompt engineering or model wrapping into maybe a more thoughtful way to build agents.Swyx [00:00:33]: For those who haven't caught up on that, I have on screen the Don't Build Multi-Agents post, which you should go read on and we might refer to, and Cole Murray, who created OpenInspect.Cole [00:00:43]: Great to be here.Swyx [00:00:43]: So let's talk about it. Everyone is building their own Devins. What's going on?The December Shift: From Handholding Models to Autonomous PRsCole [00:00:51]: So I think the engineering world is waking up to this idea of background agents, cloud agents, whatever you'd like to call it. And I think we saw a shift around the December timeframe of 2025, where the models Opus 4.5 and GPT 5.2, they reached a capability where we moved away from handholding the model and being able to actually more or less autonomously drive the model. And what I mean by that is that we could pretty much go from a specification to a completed pull request, assuming the spec was good enough, with very little friction. And that paradigm alone, I think, changed a lot of how we interact with agents, and opened this world where background agents became more practical.Swyx [00:01:41]: I think for Cole, everyone experienced this in December, but I feel like there was just this increasing ramp, right? There was this moment which was, I think, Sonnet 3.7, where, You guys rewrote Devin in one night or something. So describe 2025 or how it felt from your side.Walden [00:02:01]: In retrospect, we always thought it was ramping up, but then even now, over the last three, four months from today, it's been ramping up even faster. So it's almost funny to be talking about how, big of a leap Sonnet 3.7 was, and honestly, a lot of it was stripping out parts of Devin that were no longer needed with that jump in of intelligence. But I also just think that a lot of the recent leaps, especially, you look at, models like Opus and the latest GPT models, they are reaching levels of autonomy where people are actually finding that they actually can just be hands-off. And people who were once debating, “Oh, do I need to be in the weeds with my model in the IDE? Can I just completely move it off into the cloud?” That's a more serious conversation, and we've seen that in all of our growth charts. Internally there's this funny graph where our usage has, of PRs, our merged PRs, has grown 7X since I forget what it was called.Swyx [00:02:57]: I think Dev, maybe tweeted that. Yes.Walden [00:03:01]: it grew like 7X over, the last, I think it was, two months, three months, something like that. And then you see our engineering headcount growth. It's, gone up by, 10% or something.Swyx [00:03:11]: We were, we were afraid To release this. So this is Devin commit percentages on all Devin repos, was 16% in January and now 80% in March.Walden [00:03:25]: It's a big shift right now. And so it makes sense that a lot of people are now thinking about, buying Devin, but also maybe, trying to build their own and there's Lots of I have a lot of fun building Devin, so I can see why other people would want to build their own cloud agents as well. Matt, well, maybe it's good to hear, what initially inspired you to try to build OpenInspect?OpenInspect: Ramp, Cloud Agents, and Open SourceCole [00:03:49]: OpenInspect came about, through primarily my clients observing how they were using tools like Claude, OpenAI's Codex at the time, and seeing some of the friction that they were having with it. Primarily the Claude was being used through Slack, and a big issue they ran into was that the sessions that were launched were specific to whoever called it via Slack. And so if a PM was the one who invoked the session and they would then go to pass context to engineering can't see the session. And that in itself was a deal breaker because the PM, “Hey, engineering, can you jump in?” But there's nothing to jump in on unless they're copy-pasting out or the single response that came back. And so seeing some of these problems, I had built a similar architecture internally, just to experiment with, test out different ideas as this trend of moving off of localhost was starting to become, And as Ramp released their blog post, I had a lot of the pieces for this already in place, and just thought it would be funny to, see what Claude could do just purely from the blog post. And on my X account, there's actually a thread of where I live tweeted, going through thisCole [00:05:14]: comparing GPT and Claude as both of them are going through it.Swyx [00:05:17]: On the announcement thing or something else?Cole [00:05:19]: right after it got released. We can put it in the show notes. Yeah, it was helpful that I had already knew how to verify the system. I knew what I was looking for. I think Ramp did a great job of really illustrating, the technical aspects of how to build something. It was much more than just like, “Hey, we built a great system.” It was, “And here's how you can build it too.” And so, I resonated a lot with that, just with the problems that I was already seeing, and I thought that, looking around, I didn't really see anything in the open source community that, met this type of system. I think there's a lot that run, in localhost like Superset, Conductor, and many others.But nothing that was actually running in the cloud. And so, I built it, and I thought it was interesting to just open source it and allow anyone to then have a foundation that they can mix and match on top of.The Business of Background Agents: Open Source vs. DevinSwyx [00:06:16]: So literally after Devin was launched was, there was OpenDevin Which became All Hands. I don't know if you tried that orWalden [00:06:22]: I was going to say, one of the things that interested me a lot with OpenInspect was, you didn't try to go make it then something you monetize. There are a lot of, I think, these open source projects would then go and really try to, raise VSwyx [00:06:36]: That's why no OpenDevin. Yeah.Walden [00:06:38]: yeah, and how did you think about that? I thought that was very interesting.Cole [00:06:44]: I thought, and just what I had seen across my clients, was that having a background agent system is going to become a critical infrastructure within their company. And so because of that, I think that I wanted to open source it so that they could fork it and put in whatever customization they wanted. To that question though, I get asked all, “Oh, are you going to raise? Are you going to turn this into a service?”Walden [00:07:08]: I'm sure you've gotten offers.Cole [00:07:09]: but primarily I don't want to do that for a few reasons. One, I think that I don't want to compete for, $20 a seat. I think that is just a really difficult business. I think it's very easy to copy the main pieces of it. Again, I built this fairly quickly. And I think because you are not owning, I guess, the entire stack, it's hard to monetize. You have money being made at the sandbox layer with Daytona, E2b, many other players. You have money being made at the model layer. And you sit in this weird in-between gray area where what are you actually selling? You're selling, I guess, the infrastructure. You're selling, the integrations maybe.Swyx [00:07:55]: let's ask the guy. What are you What are you selling?Walden [00:07:59]: Well, yeah, there's multiple layers to this in practice, and actually it's funny you mentioned the infrastructure, ‘cause when we got started building Devin as well, we had to go figure out how to make the infrastructure as well because,Swyx [00:08:10]: You had to build this two years before everyone else,?Swyx [00:08:15]: Including, the model sideWalden [00:08:17]: It was not, it was not very polished at the start, when we just built it off of raw VMs from cloud providers like EC2, the boot up time was so slow, I think, And especially then, turning off the machines, saving them, and then to be able to bring them back up again when the, when you want Devin to wake up again later. It would just be out cold for like 10 minutes because that's just how long these systems took. They were not built for this repeated down and up usage. And so we actually had to go do all of that. And as a result now, one thing we offer when we go and sell Devin to people is, you don't have to worry about all the compute side of things. We'll make it work. We'll make it work in your cloud if you want it to. But aside from the product, and I want to go into the agents and the tuning of the intelligence part later, but I think a big part of what we do at Cognition as well is to just make sure that your company learns and uses and adopts these coding agents. ‘Cause I think for especially the largest enterprises in the world, you find that there is a lot of people who want to move over to using AI for their day-to-day workloads. But because of the way projects are planned, because, not everyone is literate in using AI in these ways, having a team of engineers who can actually go in and onboard you, set up all the integrations you need, the automations you need to really get to that level of, leverage with AI, is super helpful. And so We do that. We show thought partners to the customers that we work with as well.Swyx [00:09:56]: So let's talk about, architectural stuff. I think that's always, that is something that was the topic of conversation between the two of you. Is this, the mental model that you want to start with or something else? I'll just leave the floor open to you guys.Agent Architecture: Harness in the Box vs. Out of the BoxCole [00:10:11]: I think, maybe we can start here as just a general what are the pieces of a background agent system. And then maybe we can go into some of the nuances of, Decisions that you can make.Swyx [00:10:22]: But I guess I also Like, what, maybe what Walden is saying is the agent is like in this open code box, I guess. Right? This is infra, and then there's, that's the agent. And you had this discussion about whether you put the agent in here or in Out externally. Can you tease that out?Cole [00:10:39]: In a background agent systems, you have a decision to make of where the agent is actually going to run. This is typically described as the harness in the box or out of the box. With running the agent in the box, you're making some trade-offs by doing that. The negative trade-off you're making is primarily security. Because the agent is running in that box, unless you otherwise design it, all of your secrets need to go into that box as well. And given the nature of AI, it can be unpredictable, and you could very easily end up accidentally exfilling your secrets, or other unintended behavior. Now, the out of the box is the idea that we are going to have the actual agent running not directly in the sandbox, and we will have, quote-unquote, the brain of the agent running in some type of worker, control plane. That sandbox then is going to serve as the hands where the brain is basically operating and making tool calls into that environment to manipulate it. I guess other trade-off that you're making between the two systems is that, in my opinion, running it out of the box is much more complex because, you have state that has to be managed, whereas if you're running it in the box, all of the state of that agent is actually in the box, and yes, it's you could persist it elsewhere, but it's all localized and you have less concerns to worry about.Walden [00:12:08]: I think a lot of that, what you mentioned, is why we actually from the start built Devin to what we called separate the brain from the machine. The other thing that this allows you to do is reuse any existing infrastructure you have for dev boxes Perhaps. And so you don't have to worry as much about making a new type of dev box that has all the dependencies the brain needs, as you mentioned, the secrets the brain needs as well. One thing that we've seen some customers run into is, you have a GitHub app and you want Devin, your agent, whatever, be able to interact with GitHub through this application, but then you have different users with different actual permissions. If they are all interacting through the same GitHub app and there's no actual, separation between the system that decides, what it does and the actual secrets on the machine, then you run into an issue where, okay, it's hard to do the separation. But in practice, with Devin, it's much easier because we just say whatever you put on the machine, that is, the scope of basically what the user is free to do, what the agent is free to do. So only put the most scoped secrets on that machine, and then the brain is fully not accessible from the machine. So you don't have to worry about messing with the, any of the most secure parts of the brain if the user is free to do whatever they want with the machine.Swyx [00:13:31]: I was going to just bring, I have this, chart from OpenAI, where I don't know if this is, in the box, out of the box. That is something that they do use to describe it. And then also recently Anthropic did, managed agentsSwyx [00:13:44]: Which is, this is their thing. I don't know. It's all, it's all variations of the same pattern, right?Cole [00:13:49]: So this would be out of the box.Swyx [00:13:51]: Which, is preferable for them because it's less work?Cole [00:13:56]: I would say it's more work.Swyx [00:13:58]: It's more work?Cole [00:13:58]: But it, in my opinion, it is the better architecture of the two. It's just, you're taking on a bit of complexity by doing that.Repo Setup, Docker, and VM-Based Development EnvironmentsWalden [00:14:07]: One thing I've not seen a lot of other players do well is how do you manage what's actually on the box? And this can be complex for many reasons. Let's say you have a big repository that's changing and updating a lot with changing dependencies. How do you make sure that the working environment of the agent actually stays up to date, has all the credentials it needs to, let's say, run the app and test it, and all the things you want your autonomousSwyx [00:14:34]: So a repo setup.Walden [00:14:35]: Exactly. So in, internally At Cognition, we call this repo setup.Cole [00:14:39]: The hardest part ofWalden [00:14:40]: It's been a perennial problem since the start of the company, of how do we help people get this set up? Because not everyone just has, working cloud environments working out of the box. And do you find this to be a common problem withSwyx [00:14:53]: How do you solve it?Walden [00:14:53]: Your clients?Cole [00:14:54]: This is a very common problem, and through my consulting, this is a lot of what I help teams do. A lot of teams don't really have great developer environment setups, if any. A lot of the times it's, “Go talk to Bob and get the secrets,” and that obviously doesn't work when the agent needs to actually set this up. And so a lot of that, most teams are using Docker Compose or some type of microservices. And so for theSwyx [00:15:19]: Even in prod?Cole [00:15:20]: Not in prod. With the OpenInspect, you are using this primarily to interact, and make code changes. There is other use cases, but you can hook, whether through CLI, MCPs, other tools, you can then hook that into your production systems primarily for, SRE type use cases. But you are not, necessarily, trying to test your prod internal microservice through the system.Walden [00:15:48]: And you mentioned Docker Compose. I think one direction we saw some of our friends take early on was, using Docker containers as the level of abstraction for their models. There's lots of reasons, I think, why Docker containers are not great. One thing is, Docker container's not really a true security boundary, for one. But the other is, if you are running real applications, a lot of times those applications use Docker, and then you have to think about Docker in Docker, which is, really weird. And so I think part of, the really hard challenge of getting VMs to work, why did we do that? Well, it was because we realized that you actually needed, full VMs to be able to do these types of things. And especially nowadays where there's actually value in running the application and clicking around and sending you screen recordings of these things. The value just, keeps adding on top of that. But it is a decision I see people run into when they try to build their own systems, is, “Oh, do we, in addition to this, do we put the agent in the machine or out of the machine? Do we use Docker? Do we use something else?” What do you recommend people nowadays?Cole [00:16:57]: I think Docker is a good solution for maybe not running the agent, but running your infrastructure, because that is more or less the same setup your engineers are probably already using. If they're not, then I don't know what they're using. But they're probably already using Docker Compose.Swyx [00:17:14]: I've always had a small candle for web containers. I don't know if you guys have tried them before.Swyx [00:17:19]: To me, they were, supposed to be like Docker Light.Cole [00:17:22]: Is it?Swyx [00:17:22]: I don't know.Cole [00:17:22]: No, I haven't tried it. But yeah, I think any environment that you've set up that is a good experience for your developer naturally lends itself to being easy to set up for the agent. And once you figure out that local developer story, you've more or less solved the agent in a sandbox, environment setup. OpenInspect does have hooks as well, where you can, run a setup SH script that will pre-install everything. You can then pre-snapshot that build so it starts instantly, and then there is a second hook to actually then, restore the state of the sandbox when it comes back. And so you can already have all of those microservices running and basically get the same experience that you would on your machine within the sandbox.Testing Agents: Computer Use, Screenshots, and Real App WorkflowsWalden [00:18:08]: Another thing that we've been thinking a lot about is like Different VM service offerings. Have you had customers where they needed like macOS specific VMs or like Windows specificWalden [00:18:20]: VMs?Walden [00:18:22]: There are like many technologies in the world that only work on specific types of machines, right? If you're building a.NET application that has to run on Windows or like, maybe more commonly if you want to build iOS or macOS Does that workSwyx [00:18:32]: Does Commission supportSwyx [00:18:33]: Choices like that?Walden [00:18:35]: The fundamental architecture we do, because we do the separation, it does support, but the actual work in progress is happening right now on these. Another thing that we've actually recently added support now for, it's in beta, is doing Android development. To do that, we needed to support, I think, nested virtualization within our machines because the VM itself is like a, is a virtualized Firecracker instance, and then you had to then run another Android emulator inside. And there's like weird performance issues that like, it, which is why it's like still in beta. We have to think through these problems, but it unlocks a lot for anyone who wants to do Android development.Swyx [00:19:13]: I was trying to find like a reference video for the testing thing. I couldn't find it, but I think you worked on the testing, capability. Why call it testing and not like computer use or I don't know, it's, what's the general Category of problem?Walden [00:19:26]: I think that when people think about the ability of an AI to run your app and test it, I think they actually over-index on the computer use part of it because computer use in my mind is the literal, okay, you want what button you want to click. Can you emit the right coordinates to go click that button? I think testing is actually a really interesting likeWalden [00:19:48]: Problem-solving, challenge for these AIs because if you wanted to do arbitrary testing, imagine you make a change that spans the frontend and the backend, maybe, even some other like even more deeply nested service. To actually test that change, we have to reason through what-- how do you first run these applications to orchestrate with each other with the right version of the code? Then, okay, how do I trigger the feature or how do I make the thing actually happen? And this can get arbitrarily hard, maybe you have to be an admin. Maybe a certain thing has to be feature flagged on. Maybe, you have to like run two sessions and then send us a very specific word into one of them to trigger a specific behavior. And figuring out how do you do that requires a lot of code base context, requires, a lot of orchestration that we've specifically done. And in some cases, we found that you actually, no one frontier model can actually do this full end-to-end task itself.Walden [00:20:42]: We've seen cases where we actually had to orchestrate different frontier models together to solve this problem together. That is where we spend most of our time when we think about this testing problem, not so much the computer use part. Computer use for what it's worth has gotten a lot better with recent models and it's made that part of the job certainly easier.Swyx [00:20:58]: Especially with like even 4.7, that they released yesterday, apparently like way better in terms of the vision stuff, which is going to be encompassing computer use.Walden [00:21:08]: Having evals for all these as well is something that like takes a while to build up. And having the evals be right is tricky as well. Do you ever see like, clients who are building their own agents have to start standing up evals to make sure things don't regress?Swyx [00:21:25]: Not so much evals in the traditional sense, but specific to the testing part that has just gone in. I just added support for screenshots And in theory you can also do video. I need to put in a plugin to do that. But they do show up natively, and it was a very heavily requested feature, especially after Cursor's recording came out. I think that was very enlightening for everyone of like, “Oh, this is a very good feature to actually have.”, I think with Devin you guys have had this for a while.Swyx [00:21:57]: Oh, yeah. See how screenshots work. Yeah, I don't know if there's anything, super and not obvious. It's like once what feature to build, you can just prompt it and it Will mostly work.Walden [00:22:09]: I think to Walden's point, though, the computer use is a subset of the larger testing problem, and I think that's very specific to the code base that you're working and it's not something that, out of the box that you could just solve it. The-- you do need the code base context to actually know how to test it. And I think in the case of a background agent system, you fortunately do have that code base locally that what is changing and could then inspect it and use that to drive the model.Swyx [00:22:40]: For those who haven't seen it before, this is an example of how it works. You, after the PR is done, you click testing approved, and then it sends you back a video. What I really like is that it labels, It's very small here, but it actually labels what it's testing. And then it-- and then you actually see the cursor and everything. So I don't know, yeah, the engineering in this, just Whatever you want to show. ‘cause this is like, this is one of those like, oh, few of the AGI moments, right? ‘cause Once I look at this, I actually don't I wish I can just merge inside Of Slack instead of going to GitHub ‘cause I don't need to see the code. I know it works.Walden [00:23:19]: Maybe a new feature in Cursor. Yeah, the annotations at the bottom was also a big difference for me when I, when I added those.Swyx [00:23:27]: It's just like, what am I looking at? What are you trying to demonstrate?Walden [00:23:30]: Exactly. There's a surprisingly long tail of small details that ends up making a big difference for this end metric of like how fast do you actually merge the code in. One experience that we spent a lot of time tuning early on was what is the right experience on GitHub for these tools. Because I think, most tools out there when you build the agent, you'll think about, oh, it'll create the PR for you. We try to take that a step further and say, “Oh, what if we actually made sure you could interact Devin, with direct Devin directly on GitHub?” And so we made sure that you can comment on GitHub, and Devin would actually receive those comments and address them back. But there's actually quite a bit of tuning you have to do here because you can imagine that actually like-We recently have Devin Review, for example. Devin Review will post comments on his own PR And then Devin has to then goGitHub Workflows: Devin Review, Comments, and PR AutomationSwyx [00:24:23]: He answers his own comments, which is Really loopy. So like, yeah, I like that it just updates here that it's, that I have commented But usually it's just me saying like, “Hey, merged, fix any merge conflicts.”Walden [00:24:37]: The, so when Devin fixes his own comments, you might be scared that, oh, maybe I'll infinite loop. But we've put a lot of work into making sure it doesn't, both by making sure that the comments are high signal, but also that the agent is thoughtful about what comments it immediately goes and tries to fix, and what comments it's like, “Wait a second, I think you're wrong.” Actually, that's one of my favorite moments is when Devin tells me that I'm wrong, when I try to get it to do something different. But tuning that behavior, actually makes a big difference in terms of how useful the actual GitHub experience is.Cole [00:25:06]: I think to touch on that as well, I think having the AI reviewer integrated into the system is a critical part of this background system. OpenInspect does have that. It has a GitHub code reviewer that you can control the prompt. It does do comments as well. It doesn't do them automatically yet. The capability is there, but it's not fully used.Swyx [00:25:27]: So you have to ask for it?Cole [00:25:28]: you do, yeah. You can tag it on GitHub, and then whatever you named your, GitHub bot, it will then follow up on it. It will then, if you have merge conflicts or whatever you have asked it to resolve, it will then resolve it, but it doesn't do it automatically yet.Integrations: Slack, MCP, and First-Party Agent InterfacesWalden [00:25:42]: Well, I'm curious, what is, the most common thing that people end up requesting, that they still need on top of OpenInspect when you help them go implement it?Cole [00:25:52]: I think a lot of it comes down to actually integrating it into the company. It's one thing to have the background agent system set up, but if it isn't actually integrated into your larger ecosystem, it isn't that useful. It is useful to be able to kick off sessions, but what we really want to be able to do is hook it into all of our other systems, whether that is the production database with read-only credentials, the logs, a Confluence or internal knowledge-based system. I think that is where I see the huge leap for companies, and that can be a challenge for companies as well who are maybe not familiar with exactly how to approach it, especially if they're in environments that have more compliance type things where, access control can be pretty big and how do you deliberately think about these problems, I find to be, one of the problems that comes with a system like this.Walden [00:26:46]: The thing we found is So, MCPs, obviously it has been like this, really big explosion of, oh, you can go, integrate it with all these different things. But to actually get the integration right and the and get the right experience, oftentimes we found that we had to go build our own ad hoc things. I think Slack is a great example of this. You could give your agent a Slack MCP and okay, it can post messages back to you on Slack. But we actually use Devin like a coworker in Slack, and that's how it's been built from the ground up. But to do that, you actually need to, support webhooks that come back, right? And then Devin has to respond in a natural way and then hopefully don't spam your threads too much and annoy the people in your company. So you got to tune that experience just right. Especially when there's a lot of back and forths, we find that we actually have to go beyond the simple MCP integrations in these places.Swyx [00:27:39]: I just pulled up the MCP marketplace. I know this is a Fair amount of work. Is the answer to eventually take first party control of all the top MCPs? Is that theWalden [00:27:48]: I would love a world where you could have something that's more expressive than MCP. That, goes both ways, not just a set of tools, but a proper system that interacts back and lets it Have the right experience with all these interfaces.Swyx [00:28:03]: So there actually is sampling in the MCP spec, but nobody Uses it, right?Walden [00:28:07]: And so I think that's the other part is, actually we found that when the MCP spec starts to get too complicated, it starts to lose its original promise of Being like a simple one-step connect. Now then we have to go figure out how to support all these different variations of things and It starts to look a lot like just building the first party integrations in a lot of these cases now.Cole [00:28:29]: I think it matters, too, how critical it is to your company, right? If this is something that nearly every session is going through, it probably makes sense to own it so that you can make optimizations on top of it Versus just whatever is off the shelf.Swyx [00:28:43]: Awesome. Other than MCPs, what else, sorry, well, I don't know if that's Narrowing in too much on, integrations. But what else? What other elements of building OpenInspect or Devin that you guys really sink on?Memory and Knowledge: What Agents Should RememberCole [00:28:59]: I think, a problem that comes up very frequently is this idea of memories or knowledge base.Swyx [00:29:05]: Oh, boy. How do you solve it?Cole [00:29:08]: so not solved yet, is the short answer.Cole [00:29:11]: it's something, there's a open issue for it, someone asking about it.Swyx [00:29:16]: There's, I, D Wiki hasn't indexed anything about memory yet.Cole [00:29:20]: how I'm seeing it solved across my clients is primarily through skills. I find that skills can be a good gap within that or updating Claude MD, but I think memory as a whole is a pretty unsolved problem, and it is why I've been hesitant to add it. I think there is parts of memory and that can be addressed, but I think as a whole it's a very difficult retrieval problem.Swyx [00:29:44]: Oh my God. RAMP didn't write anything about memory? I see zero search results.Walden [00:29:50]: No. Memory can be quite tricky to get right because it's the retrieval, but also the generation of the memories that can be really tricky. You don't want it to just like Remember very specific details.Swyx [00:29:59]: Walk us through the Devin memory journey because I know there's been a journey.Walden [00:30:03]: the first version of memory that like stuck around for a while was A system we have called Knowledge. And the idea was we wanted it to pick up things over time and not need the user to be proactive about teaching Devin things. So, okay, any time you remind Devin, “Wait, no, that's not quite the way you're supposed to use Git”Like, we actually want Devin to say, “Hey, do you want me to actually just remember this for the future?” And for you to just basically quickly approve or reject and for it to build up over time. ‘Cause I find that, 95%, I think, or some crazy stat like that of the memories that Devin has are all through these auto-generated things. Very few people actually just want to sit down and write big docs on Here's how you're supposed to work with the technology, et cetera. The generation and the retrieval has been something that we've been trying to tune a lot over the years. Generation, you don't want it to remember something like, if you asked one time to like, “Oh, please open as a draft PR,” you don't want to be like, “Oh, everyone forever now should get their PRs as draft PRs.” But you do want some, conveyor. Maybe you want to say like, “Oh, Cole generally likes, things to be created as draft PRs.” Same with retrieval, if you have thousands of these memories, how do you actually make sure they're retrieved at the right time? And that can be quite tricky to do right without exploding the context with a bunch of useful yeah, useless information. Surprising amount of just, eval work to just make sure that, memory is, remains a reliable system as new models come and go.Cole [00:31:31]: Do you have anything that you could share on, memory pruning? And like the temporal aspect of memory?Swyx [00:31:36]: Deleting and forgetting?Walden [00:31:39]: The, today, the, So the things they could do is it could edit memories. And so if your memory used to say like, “Oh, Cole likes to open everything as like a draft PR,” then you can imagine, “No, don't do that.” And then it'll say, “Oh, do you want me to update the memory to be Cole now want everything as, open PRs?” I think that at the same time we don't know if this is going to be the final version of the system. Whatever we have here will probably, translate into the new system that we'll be coming up with. But I think one big difference between two years ago and today is these agents are really good at using anything that resembles a file system natively. And so part of us are, is thinking, “Oh, should we rebuild memories to feel more like a file system that we let the agent navigate on its own?” That's been an interesting exploration. Also similar ideas in the scale space.Swyx [00:32:35]: I am pulling up OpenClaude's memory thing right now. So memory, OpenClaude has like this like daily memory journal thing, right? And you can I mean, that is a file system you can grep through and is a source of truth. I don't know if it's the best. It's probably super noisy, but at least, if you lose something you can discover it or you can apply some, forgetting algorithm to, more ancient memories that don't get recalled again or something. I don't know.Walden [00:33:01]: One thing we've been trying to do to push the boundaries of how you use agents at your company is letting an agent basically have a very similar file, a memory.md or something, and just like be your permanent PM for a specific set of issues maybe. So we have like some Slack channels internally, maybe a Slack channel dedicated to, a specific product like DeepWiki maybe. And you can imagine that, or you want a Devin that never stops, it's just always awake, but it has this like memory dock that it can just maintain for itself about, okay, what are like the number one priorities of what we have to fix and prioritize? Who is responsible for some upcoming work? Maybe they'll even Devin will even tag you on some recurring basis. And so it's been an interesting move to see, okay, how can we actually use Devin for more than just engineering? Can we actually upstream above the engineering process and maybe it's just Devin creating tickets, which then maybe some humans do, but then maybe other Devins do.Swyx [00:34:00]: One of my more fun automations is go research competitors and just suggest stuff to me on a weekly basis. That's the automation. I can't find it right now, but basically it just like, “Look at competitors and suggest things.” “And here are three things that you've suggested that I don't want any more of,” and you just stick that in the prompts. But like I wish actually So for like when I, for example, when I reject a PR, I wish that it updated memory so that I can then just not have to go up, go back and update the scheduled, sync, but anyway, feature request.Walden [00:34:31]: what? We might change it soon. I guess OpenInspect, in the time you've been around, has there been anything you tried to implement but then you had to like undo and like do a different way?OpenInspect Architecture: Webhooks, Control Planes, and Agent StateCole [00:34:41]: Nothing yet, but something that is on my mind. The initial way that I built it was that each of the integrations lives as its own package. And so you have The Slack bot, which is what's handling the webhooks, and then is basically interacting with the control plane. As I'm seeing the system starting to be more integrated, specifically with the GitHub bot integration, I'm considering bringing that all into the central control plane because especially now I want to start, And a request that I'm getting is the ability to monitor, the actual, pull requests being merged, as well as just tracking ofSwyx [00:35:19]: What do I have open?Cole [00:35:21]: What do I have open? How many of these are getting merged? How many comments are showing up? To just understand the health of the system. And so in the case of a GitHub app, you only have one webhook. And so then it's a question of do I put that webhook in that GitHub bot package? That's weird. It doesn't really make sense to live there because that package is more for like the code reviewer. Or do I like centralize it? So that's something that's on my mind of, making that decision. I think the other one we touched on earlier is the harness in the box versus out of the box. I think long term the architecture will eventually come back out of the box. Some of the newer tools that I've added are calling back into the control plane so that you don't have the secrets in the sandbox. And so I think long term I probably will pull the actual, agent out of the box, but I think for now it's fine.Subagents and Multi-Agent Systems: When Parallelism Helps or HurtsSwyx [00:36:16]: Just, a quick question on pulling the agent out of the box. I'm One thing I'm very bullish on this year is agents calling other agents or spawning sub-agents or Whatever you want to call it. Does that make it harder or easier? I can't tell. Because if the harness is in the box, you can just spin up more boxes. If the harness is outside the box, then you're, it's less easy because you are, you have a unicorn pet of a, of a harness that's, living outside the box.Cole [00:36:45]: In theory it would be the same way, right? Whether, one agent has launched many, sub-sessions within it, OpenInspect, for example, can launch sub-sessions and actually create other environments and then monitor them. In the case where it is out of the box, that would basically just be an additional session that's running. And so that session is also running outside of the box. It's running in your worker plane, wherever you're running this. And then you really just have to think about how does your top level agent then interact with it. I do think it can be more complex, just ‘cause again, you have now a more difficult architecture. But I think if you figured it out once, it's probably fine.Swyx [00:37:26]: Well, then I'm just, throwing it open to you in terms of, I call this like meta Devin management. Which is like the, Devin's calling Devins or Devin scheduling Devins or querying trajectories or anything like that. What have you built or unshipped, anything?Cole [00:37:46]: I think one of the surprising things we've seen is that a lot of the ways that, these, separate agents work with each other, and you want them to, parallelize their work, has still mostly followed the same manager sub-agents regime. And a lot of people I think are excited about this world where you have swarms of agents that, talk with each other all over the place. We've actually given Devin an MCP so they can just go arbitrarily message other Devins And create new Devins, et cetera. But I guess, it somehow creates, a really chaotic world in that sense. And so we've still found that most practical use on a day-to-day basis has been one single Devin.Cole [00:38:33]: Figuring out how to segregate the work and get, have other Devins work on it in, a relatively isolated sense, each with their own boxes Not sharing machines, so there's, a very little room for conflict is the regime that you have to create today.Swyx [00:38:50]: I'll call out, the experiments from Cursor, right? This is Wilson Lin's work on Single agent to multi-agent, and you're obviously famously on the side of don't build multi-agent. But they went through the whole thing, only to arrive at, this Which is exactly what Devin has, I think.Cole [00:39:08]: I think there will be a revision to that post at some point AboutSwyx [00:39:12]: Tell us about itCole [00:39:12]: I think multi-agents were very much not at all possible a year ago. You do see more multi-agent experiments today, but you can argue, are they really multi-agents, or are they just just, tool calls,? There are people who, will create sub-agents to go look for XYZ file, XYZ implementation. Has really nice context management benefits because all of the tool calls and tokens that it spends then get collapsed back to just the answer for the main agent. There's a lot of benefits to doing this. We basically have Devin do this with Deep Bookie, make a call out to Deep Bookie, give you back the results, but that feels like a tool call,? It's not like these, two collaborators actually talking back with each, back and forth with each other. But I think the thing that gives me the most bullishness that multi-agents might actually be possible is actually what I said earlier about Devin will actually sometimes tell me I'm wrong and push back, and I think that demonstrates a level of maturity and communication today that makes a multi-agent world possible. One, can two agents who have seen different information come back to each other and actually figure out who is right, what is the correct implementation? They're not just, yes men. Claude, I guess is like, used to just say, what is it? “You're right,” or,Swyx [00:40:25]: “You're absolutely right.”Cole [00:40:26]: “You're absolutely right.” Yeah.Swyx [00:40:28]: The Have you seen, did you seeCole [00:40:29]: The age is overSwyx [00:40:30]: The Codex app troll in Topic? This is the Codex app. Inside of Settings, there's a little, there's a little Easter egg, right? So if you go to, the Themes or Appearance, right? There's all these, color codes, and the top is absolutely, and it's the Topic's colors. Which is such a troll. Anyway.Model Behavior: Pushback, Adversarial Prompts, and Agent SkepticismCole [00:40:53]: I love that Easter egg. Did you discover that yourself?Swyx [00:40:54]: No, it was, someone was, tweeting about it And I was like, I was like, “Is this true?” Because, sometimes people just tweet stuff to, get a rise out of you. But yeah, there you go, in Topic colors.Cole [00:41:06]: Yeah. So yeah, we're out of this regime where, it just says you're absolutely right, and they can have real conversations and real back and forths.Swyx [00:41:13]: You can prompt it as well to be more adversarial or whatever. Yeah. Okay. Yeah, that, I mean, to me, that is more intelligence, right? That is not just something that's, a dumb tool, it's actually pushing back on you I think. Yeah.Cole [00:41:24]: when you mentioned, of course, the blog posts. There was one blog they had where they fed a swarm of agents together and built a browser.Swyx [00:41:34]: That was I think that was the one.Cole [00:41:36]: You can have, likeSwyx [00:41:37]: I think it's the same oneCole [00:41:37]: Creation of it. We found a surprising success of, don't do a swarm or anything, just have one Devin, it does its own context management. Just let it keep running for a while and give it some crazy tasks. I think we asked it to, rebuild, a Windows OS system. And it managed to do it just like, going on for long enough. It'sSwyx [00:41:55]: Was this Andrew's thing?Cole [00:41:58]: there were lots of demos that we ended up not posting, ‘cause at some point we'd just be posting way too much a bunch of, Demos. But I love that because it shows that I think the multi-agent thing still has, a bit of exciting sexiness to it, which is maybe still beyond still, the actual delta it adds to the capabilities of these systems. But it's absolutely the future. I think we're heading in that direction and we can see the progress being made there already.Swyx [00:42:25]: If I were to, make one super minor pushback because I don't feel that confident about it yetCole [00:42:33]: Go for itSwyx [00:42:33]: But I've had Ryan Lopopolo from OpenAI on the pod And he's a super slop cannon, right? Oh my God, that's my coding agent being done. I downloaded this, Peon Ping. I don't know if you guys have heard this. It takes like-, sound packs from popular games like, Command and Conquer and Warcraft, and then it plays it whenever it's done. And so it's like, “Work,” or whatever, “At your command,” or something. Anyway, what I got from the Cursor code base and from Ryan's thing was that there's a slop cannon approach where you try to loosen the single agent's, bottleneck, and I feel like that is, probably an, a very important thing to try to figure out. I don't think anyone's, really solved it. Because then you just have more reviewer slop on top of the agent slop To try to wrangle it all. Ryan will probably very strongly object that I say that he hasn't solved it, but he thinks he's He thinks he's completely solved it. But I think it's still I think it's, very important, ‘cause, that is a bottleneck, right? I feel Devin is slow sometimes Because I'm like, well, yeah, this is very readable and very sensible, but also it is slower than it could be if I just, I want a button to just say, “Just ramp this up 1,000 next parallel, in parallel and just, see what happens,”? And I don't know if that's, feasible at some point in the future.Code Review, Entropy, and AI SlopWalden [00:43:55]: I And we've also run experiments internally where we've basically tried to build entire products, true products that we knew we would eventually ship, but for now, let's try to see if we can do it just by purely, vibe coding on top of each other, auto merge, no code review at all. And then there's this benchmark of how many weeks can you go onto this for Before you say, “We have the trashiest code base.”Walden [00:44:18]: “Let's actually rewrite it from scratch.”Swyx [00:44:19]: Start a new factory, yeah. What'd you find?Walden [00:44:21]: I think we found that the state-of-the-art in December was you can probably, run this for about two weeks. By the end of those two weeks, you'd find that, hey, you want to, change the color of a button. Well, it turns out this button is implemented in, 10 different places, and they, have All these different variations, and oh, you forgot one of them, and actually it's a slightly different color in one spot. And you're like, “Okay, this is too much to work with. Let's actually try to do code review at the same time.” And make sure that we're on top of our software, actually cleaning it up a bit And making sure it's done in a scalable way.Cole [00:44:54]: I think building on that, the idea of, you don't have to look at code, I think is generally a bad idea. And the meme that I have for thatWalden [00:45:03]: What timeline, all right, is Do you think that statement will be true on?Cole [00:45:06]: I think probably for a while it'll be true that you should continue to look at your code. A problem that I see a lot of teams run into that I work with who are embracing AI native, AI first coding, is The meme that I have is that your code base regresses to your worst engineer, because that engineer who is, very gung-ho about AI and is not auditing their code, their pattern starts cementing into the code, and now the AI is referencing their patterns. And so now their if/else block that, is 20 if/elses back and forth, the AI is seeing that as the pattern of how things are done and starts to then exponentially grow this slop. And I find to your point, a pretty good approach to that is having scheduled cleanup, whether by humans or through systems, that are looking for duplication. They then address that. You'll end up with like 12 helpers for how to format a date. And you need to address that, because otherwise it will continue to sprawl.Swyx [00:46:09]: Within balance, I think it's fine to have some duplication, and then sometimes To have garbage collection, right? Yeah. The What I've been, talking about with a lot of engineering leaders is that you want to be very strict about the boundaries between modules, and it's your job as an architect, as a CTO, whatever, to say like, “Okay, here's the hard contract between you guys and you guys. Whatever you do inside this black box is your business. You do whatever. But between these guys, let's be, really damn clear, and any movement must be signed off by a human or me,” or. Then, and like that's that. I don't know if you have any other modifications or advice.Walden [00:46:44]: Well, I guess generally on the topic of, where humans can be useful, I found that ‘cause, some of these, really deep infra problems, sometimes just having a human that just has, really deep expertise can make a big difference. I've actually seen this come into play when actually building agents. So we've had a few friends now, try building their own coding agents, and I think one same problem that I recurringly heard a lot of them run into was this problem of like, “Oh, Grep is really slow on our agents' machines.” And so a lot of them, I assume because they're using AI and they themselves don't have, super deep infra background knowledge, say, “Okay, we're going to go build our own custom Grep index. It's going to be really fast,” and use that as a way around this problem. When we ran into this problem About like, maybe like a year and a half ago when we were, in the early days of building Devin, we obviously didn't have AI then. We just asked our, how to, how to do this. You can just swap out a new Grep index, so.Infrastructure Details: Grep, File Systems, and SandboxesSwyx [00:47:45]: What do you mean you hand-coded Devin? What?Walden [00:47:48]: It's like, can you believe we hand-wrote this code? And we had, our infra people who are really amazing, they were looking into it and they're like, “Oh, what? We realized that actually the root cause of this problem is actually super simple, but like fine-grain detail,” which is that a lot of these virtual machines actually underlying them don't use real file systems. They use these, network file systems where things are actually cached over the network actually in S3. So when you're Grepping, you're actually making network calls Every time you're doing these things, and that's why Grep is extremely slow on these machines. And so again, goes back to, what is all of the crazy infra work that we had to do to actually get these machines working. If you try to do this yourself, there are tons of small details like this, and so we had to eventually go swap out that network file system. ButSwyx [00:48:35]: I think there's a write-up about it, right? Silas did one about the virtual file system.Walden [00:48:38]: Oh, that was a whole other thing. TheSwyx [00:48:39]: Oh, that's a different thingWalden [00:48:40]: The BlockDev file storage formatSwyx [00:48:42]: I'll bring it upWalden [00:48:42]: Which is, a file system format that we built so that the VMs could be spun up and down very quickly. Basically, the intuition behind this is-Imagine you have, a terabyte of disk, and your agent only, wrote, a hundred lines of code on top of that disk. How long does it, say, take to, save and re-bring up that disk? And most systems, because you're not optimizing for this case, it's just, on the order of a terabyte of work because you have to Save all of that and bring it back up. In our system, we try to build a file system that incrementally builds on top of each other. So every time you save and bring the machine back up, you're only doing work that is proportional to effectively the diff in the file system. And so this, shaves off a lot of time in the boot-up process of Devin. I think we This is actually now outdated. We have a newer system inside of Devin. But yeah, there's a lot of tiny details you have to get right here to actually get the day-to-day experience of Devin to be good.Swyx [00:49:39]: It's, not technically agents, but it is agent infra, and when you sell an agent as a company, you sell agent plus agent infra.Walden [00:49:46]: At least the way we do it be And the other The nice thing about having the agent infra being done together is, you We get to deploy Devin in whatever environment we want now. We don't need to wait for some underlying infra provider to also go and support VPC or on-prem or FedGovCloud, for instance. So we can actually go and figure out, okay, since we own the infrastructure, how can we get that set up for you?Cloud Providers: Modal, Daytona, and Enterprise SandboxesSwyx [00:50:12]: Whereas you're Cloudflare dependent.Cole [00:50:15]: so Cloudflare runs the control plane. The sandboxes, Modal is supported. A contributor just added Daytona. E2B is on the roadmap, and I think there's an abstraction in place that if any contributor wants to add a new provider, they can add that in.Walden [00:50:32]: Well, what are, How are the customers you work with Do they generally try to then go set up a contract with another one of these third-party providers? Do they try to do the VMs in-house?Cole [00:50:44]: most of them I see using Modal. I think Modal has a greatWalden [00:50:48]: Shout out Modal.Swyx [00:50:48]: Shout out Modal.Cole [00:50:50]: I think Modal has a great offering. It captures all of the sandbox pieces you need, snapshots being a pretty big piece of that, and given that they also offer GPUs, I think it's a pretty nice offering as a whole.Swyx [00:51:04]: no debate there.Walden [00:51:07]: Modal is great, especially, I think their container offering is, the most natural, and so especially if you are willing to, forego, the full VM requirements Modal is, a really vast place you can spin something up on.Swyx [00:51:20]: Is there a point So Modal's very Python, and I feel like most workload, has really shifted to JavaScript. I don't know if you guys Get the same feeling. So, okay, when I started Landspace and IE and all these things, I was like 50/50 Python and JS, right? That's roughly. I think that's wrong now. I think JS has won. I don't know if you guys Like, I Maybe I'm overstating it, and maybe for cognition, there's, C# and Java and what have you. But for, new greenfield apps, do you feel that Do you get that sense? Does it matter?Cole [00:51:52]: I think that most of the libraries that I see in this space are Python native first, especially in theCole [00:51:58]: Observability space. That said, I think that there is a pretty big appeal of having your entire system in one language. Especially when you have both your frontend and backend communicating, you can have one central type Which is very nice.Swyx [00:52:11]: That's my case against Modal, which is Then you have to run JS. You can run JS inside Modal. It's just, one extra step That, isn't native to the runtime. I don't know ifWalden [00:52:22]: I don't knowSwyx [00:52:23]: Reviews. Do you have numbers? I don't know.Walden [00:52:25]: the one thing I don't like about Python is whenever AI, whenever it writes Python, it always does, the weirdest patterns, andSwyx [00:52:32]: Oh, because it's, mixing two and three or what?Walden [00:52:34]: I think it's something mixing two and three, yeah. The I don't know if you see this. It always tries to do, has attribute on objects as likeCole [00:52:41]: Oh, my God.Walden [00:52:41]: But it's like But that you shouldn't be doing that. It should error if there wasSwyx [00:52:45]: Because it's training on library code?Cole [00:52:47]: I think it's more of, likeCole [00:52:48]: From what I've seen, it's more of, a reward hacking mechanism where it doesn't want to basicallyWalden [00:52:54]: It'll never error.Cole [00:52:54]: It doesn't want the code to fail. And so it Even when it knows it has the attribute, it'll call getattr on a, and for a lot of my clients who have moved towards more autonomous coding, we've put that in as a lint rule That if you do getattr, your pull request is going to fail.Slop Signatures: Comments, Backwards Compatibility, and TypesSwyx [00:53:12]: Ooh, this is a fun topic. Can you tell me more about this? What else is a sign of AI coding that you have to put guards in?Walden [00:53:21]: So we were talking just before this about Opus 4.7. One of the things this new model likes to do is it writes lots of comments. Not like, it'll, comment every line, but it'll write, paragraph, PRDs, on top of every function. But I will say, to its credit, these aren't slop, descriptions like they were before. “Oh, here's what this function does.” It's like, “Oh, here's actually the r

In der heutigen Folge sprechen die Finanzjournalisten Nando Sommerfeldt und Holger Zschäpitz über die Snowflake-Wende, Metas Abo-Plan und neue deutsche Space-Fantasie. Außerdem geht es um Zscaler, Cloudflare, Snowflake, Amazon, Salesforce, Meta, Alphabet, Schaeffler, Spire Global, Manchester United, PDD, Alibaba, JD.com, Uber, Delivery Hero, Prosus, Just Eat Takeaway, Costco, UiPath, SentinelOne, Dell, Okta, MongoDB, Asana, Autodesk, Gap, Dollar Tree, Deutsche Bank, UBS, Zurich Insurance, AIA Group, BOC Hong Kong Holdings, DBS, Oversea-Chinese Banking, United Overseas Bank, Samsung, SK Hynix, Nvidia, Microsoft, TSMC, JPMorgan Chase, Micron, Amundi DJ Switzerland Titans 30 (WKN: ETF198), UBS MSCI Hong Kong (WKN: A14MGG), Xtrackers MSCI Singapore (WKN: DBX0KG). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und - ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Six companies, seven days, same playbook. Welcome to the modern age where the excuses are interchangeable, the points don't matter, and ALL the strategies are not-so-secretly the same! Listen or watch as Product Manager Brian Orlando and Enterprise Business Agility Leader Om Patel talk through this month's round of layoffs and expose why Cloudflare's AI-first cuts and Fidelity's RTO-to-layoff pipeline aren't strategic decisions at all!What Brian and Om get into:Why Cloudflare cut 1,100 workers the same day they reported 34% revenue growthHow mimetic isomorphism drives CEO herd behaviorIncentive structures that reward confident memosWhy your sprint reviews, OKRs, and retro actions MIGHT be running the same playA diagnostic for catching yourself performing response instead of executing changeBy the end of this episode, you'll be spotting these announcement-as-strategy patterns in real time, maybe even in your own meetings!#CorporateStrategy #TechLayoffs #ProductManagementCloudflare, Fidelity, Coinbase, Meta, Microsoft, Harris School at University of Chicago, Marty CaganLINKSYouTube: https://youtu.be/VTA_y38MXu8Spotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

In this episode, some of Cloudflare's dev team - Sunil Pai, Matt Carey, and Thomas Ankcorn join us from AI Engineers Europe to discuss code mode, radical simplicity and Pi.Links:- Cloudflare - Sunil Pai - Matt Carey - Thomas Ankcorn 

Este contenedor Docker es capaz de actualizar nuestros dominios en Cloudflare y otros registradores con la IP pública de nuestra conexión. Es algo que siempre viene bien tener automatizado.

What if the way we think about business value, trust, and capitalism itself is fundamentally broken? Eric Ries' The Lean Startup changed how a generation of entrepreneurs build companies. Now, Ries takes aim at some of the most sacred business assumptions today in his new book, Incorruptible. Ries joins Rapid Response to share what he witnessed firsthand in the clash between Anthropic and the US government, and why he believes the current system is failing the very people it's supposed to serve. He also brings in-the-trenches stories from Cloudflare, Novo Nordisk, and Whole Foods to make the case that courage, not capital, may be the most undervalued asset in business right now.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What if the very success of your company is what eventually destroys it? Eric Ries, the mind behind the Lean Startup movement, is back with a warning every founder, leader, and employee needs to hear. In his new book Incorruptible: Why Good Companies Go Bad and How Great Companies Stay Great, Eric tackles the question he admits he failed to answer the first time around: once you build something worth protecting, how do you actually protect it? In this conversation with host Brandon Laws, Eric unpacks the invisible force he calls "financial gravity," the systemic pull that quietly bends companies away from their mission. You'll hear the jaw-dropping story of Saul Price (the man Sam Walton credited as the father of modern retail), the real reason Costco still sells a hot dog and soda for $1.50, and why protecting your company's values is always "too early," until suddenly it's too late. If you care about building a business that means something, this episode is essential listening. Key Timestamps [00:00:00] — Welcome & episode intro; overview of Eric Ries and Incorruptible [00:01:30] — Why Eric wrote this book: the personal pain of watching great companies get hollowed out — and what The Lean Startup missed [00:04:00] — Ordinary failure vs. unusual failure: why success itself is often the cause of collapse [00:05:30] — The legend of Saul Price: the father of modern retail, his "fiduciary duty to the customer" philosophy, and what happened when investors changed the locks on his office [00:11:00] — The ultimate A/B test: Fed Mart's destruction vs. the rise of Costco — and what it proves about ethos + governance [00:14:30] — Redefining corruption: it's not just illegal behavior — it's any act that destroys the moral logic of business [00:17:30] — Organizations as superorganisms: why founders can wake up and not recognize the company they built [00:21:30] — Financial gravity explained: the force that pulls every company toward mediocrity (and how to fight it) [00:25:00] — Why protecting your mission is always "too early" until it's too late — and what happens to founders who wait [00:29:30] — The $1.50 hot dog: Costco's legendary promise to customers, why Jim Senegal said "figure it out" — and what that cost them [00:35:00] — Mission statement vs. actual mission: how companies like CloudFlare engineer their values into their business model [00:40:30] — Transmitting the mission: Costco's food safety program, civic infrastructure, and what it means to truly stand for something [00:43:30] — Where to find Eric Ries and how to get Incorruptible A QUICK GLIMPSE INTO OUR PODCAST Podcast: Transform Your Workplace, sponsored by Xenium HR Host: Brandon Laws In Brandon's own words: "The Transform Your Workplace podcast is your go-to source for the latest workplace trends, big ideas, and time-tested methods straight from the mouths of industry experts and respected thought-leaders." About Xenium HR Xenium HR is on a mission to transform workplaces by providing expert outsourced HR and payroll services for small and medium-sized businesses. With a people-first approach, Xenium helps organizations create thriving work environments where employees feel valued and supported. From navigating compliance to enhancing workplace culture, Xenium offers tailored solutions that empower growth and simplify HR. Whether managing employee relations, payroll processing, or implementing impactful training programs, Xenium is the trusted partner businesses rely on to elevate their workplace experience. Discover how Xenium can transform your workplace: Learn more Connect with Brandon Laws LinkedIn | Instagram | About Connect with Xenium HR Website | LinkedIn | Facebook | Twitter | Instagram | YouTube

What if the way we think about business value, trust, and capitalism itself is fundamentally broken? Eric Ries' The Lean Startup changed how a generation of entrepreneurs build companies. Now, Ries takes aim at some of the most sacred business assumptions today in his new book, Incorruptible. Ries joins Rapid Response to share what he witnessed firsthand in the clash between Anthropic and the US government, and why he believes the current system is failing the very people it's supposed to serve. He also brings in-the-trenches stories from Cloudflare, Novo Nordisk, and Whole Foods to make the case that courage, not capital, may be the most undervalued asset in business right now.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The internet is about to be flooded by machines, and Matthew Prince thinks the old business model is not ready. The Cloudflare co-founder and CEO joins Bankless to explain why AI agent traffic could overtake human traffic by 2027, how crawlers are changing the economics of content, why ads and subscriptions may not survive in their current form, and how x402, stablecoins, and pay-per-crawl could create a new payment layer for the web. ---

Steve Holmberg is one of our favorite recurring guests, and this time, he showed up with something nobody expected. Over the holidays, Steve went from zero coding experience to a fully functional AI-powered app called Field Check, built using the vibe coding platform Lovable. The app connects retail store associates directly to brand product and marketing teams through AI-driven chats that go deeper than any survey can — and he built the whole thing in about a month. In this conversation, Steve walks through exactly how he did it, what he wishes he'd known before starting, and why AI is "a tool masquerading as a solution." He also deployed Field Check live on the Second Nature Slack channel to surface what the audience actually wants — and the results are fascinating. Plus: a halftime check-in on Second Nature's 2026 predictions, what happened at Sea Otter with Chinese bike brands, why Adidas is having a moment, and the 32-inch wheel debate that nobody asked for. Show Notes: Popfly for Creators: https://popf.ly/secondnaturecreators Popfly for Brands: https://popf.ly/secondnaturebrands Steve Holmberg: https://www.linkedin.com/in/stephenholmberg/ Insight Accelerator: https://insight-accelerator.com/ Lovable: https://lovable.dev/ Field Check: https://fieldcheck.app/ Supabase: https://supabase.com/ Cloudflare: https://www.cloudflare.com/ Github: https://www.github.com 2026 Predictions Episode: https://www.youtube.com/watch?v=k0G3OpDVnyA Steve's Prediction Post: https://www.linkedin.com/posts/stephenholmberg_2026-sport-and-outdoor-industry-trends-activity-7414293417557626880-AXy7 Trailcon: https://www.trailconference.com BPC - Brand, Product, Content Jason Fried - David Senra Podcast: https://www.youtube.com/watch?v=BdDCtMA1gSw Adventure Bucket List: https://reachinternationaloutfitters.com/collections/state-bucket-lists Join us on LinkedIn: https://www.linkedin.com/company/second-nature-media Meet us on Slack: https://www.launchpass.com/second-nature Follow us on Instagram: https://www.instagram.com/secondnature.media Subscribe to our newsletter: https://www.secondnature.media Subscribe to the YouTube channel: https://www.youtube.com/@secondnaturemedia

Why a proposal for an alternative to IPv6 is unlikely to be viable, Microsoft really doesn’t want you to run Exchange Server on-prem, Google will finally stop being a proper search engine, setting up an email server for internal use, and mitigating DDoS attacks without Cloudflare. Plugs Support us on patreon and get an ad-free RSS feed with some early episodes Tuning ZFS for Databases Webinar: May 27th at 11am EDT: Database Performance on ZFS with Tom Lawrence News/discussion Veteran network architect proposes IPv8 – to improve IPv4, not leapfrog v6 Exchange Server zero-day vulnerability can be triggered by opening a malicious email Google Search as you know it is over Free consulting We were asked about setting up an email server for internal use, and mitigating DDoS attacks without Cloudflare. See our contact page for ways to get in touch.

Codex is quickly becoming a full work environment for agentic building, and today's episode breaks down nine practical tips from one of OpenAI's Codex team for getting more out of it. NLW covers durable long-running threads, voice as a way to give agents richer context, steering while work is still in progress, structured memory, tool access, remote control, heartbeats, goals, and the side panel as the place where human and agent work stay in motion together. In the headlines: Cursor's Composer 2.5, Cloudflare's review of Anthropic's Mythos Preview, and the verdict in Elon Musk's OpenAI lawsuit.Source: https://jxnl.github.io/blog/writing/2026/05/10/codex-maxxing/Apply for our Growth Engineering role: ⁠⁠⁠⁠⁠⁠https://jobs.aidailybrief.ai/⁠⁠⁠⁠⁠⁠Enterprise Claw Cohort 3 Registration: ⁠⁠⁠⁠https://enterpriseclaw.ai/⁠⁠⁠⁠Brought to you by:KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG's new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/Navigate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Granola - The AI notepad for people in back-to-back meetings. 100% off your first 3 months with code AIDAILY at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://granola.ai/aidaily⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Scrunch - The AI customer experience platform - ⁠⁠⁠⁠⁠⁠https://scrunch.com/⁠⁠⁠⁠⁠⁠Mercury - Modern banking for business and now personal accounts. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://mercury.com/personal-banking⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zenflow Work - Agents for knowledge work - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://zenflow.free/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Drata - The agentic trust management platform - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://drata.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Great funding news for LVFS and KDE, why Europe probably needs some more home-grown distros, a conspiracy theory about Cloudflare seems unlikely, and we wonder what can be done about all the irresponsibly disclosed vulnerabilities that new tools are discovering. With guest host Andy from Linux Dev Time. News LVFS Sponsorship Announcement Sovereign Tech Fund invests over €1 million in KDE software development KDE bags €1.3M as Europe realizes it might need an OS of its own Can Someone Please Explain Whether Cloudflare Blackmailed Canonical? ‘Dirty Frag’ Linux flaw one-ups CopyFail with no patches and public root exploit Dirty Frag gets a sequel as Fragnesia hands Linux attackers root-level access Linux kernel maintainers pitch emergency killswitch after CopyFail and Dirty Frag chaos DirtyCBC: When Linux Kernel Decrypt-Before-MAC Turns Authenticated Encryption Into a Page-Cache Write See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

You’ll sharpen your daily tech game this week: add names directly to Mail recipient fields, kill those sneaky iOS nickname pop-ups before they embarrass you, and stay alert to Low Power Mode. Long-press your steering wheel button to summon Siri faster, welcome ChatGPT and Perplexity to CarPlay, untangle Apple’s App Entitlements, and stream HLS video right inside the updated MGG iOS app. Don’t Get Caught treating your LLM like a glorified search bar—re-task it as a brainstorming partner, let agents check each other’s work, troubleshoot stubborn email issues, and have it build its own skills using Claude Code and CoWork. Your questions and tips drive the back half: disconnect AirPods from your Mac in one tap with ToothFairy or Control Center, dial in rock-solid remote screen sharing using Jump Desktop, Zoom, and Tailscale, stop your iPhone ringer from accidentally flipping, and plan your escape from Comcast email by grabbing a real domain through Cloudflare, Namecheap, or GoDaddy. Then it’s Cool Stuff Found season—Bartender 6 reclaims your menu bar, the Syntech case protects your Apple Vision Pro, and the Mila Air3 and Honeywell HEPA purifiers clean up your air. Plus a heap of love for Eufy lawnmowers, vacuums, and doorbells, all wired together with Homebridge and Home Assistant. 00:00:00 Mac Geek Gab 1142 for Monday, May 18th, 2026 May 18th: Send an Electronic Greeting Card Day MGG Monthly Giveaway – Enter to win a Function101 Apple TV Button Remote The MGG Merch Store is Live! Quick Tips 00:00:01 Ben-QT-Add a name to the Mail recipient field 00:03:43 Beware of Nicknames showing on iOS You can disable this! 00:08:08 The lessons we learn about our tech when traveling 00:08:49 QT-Be aware of Low Power Mode. Also App Tamer 00:13:56 Larry-QT-Long Press Steering Wheel Voice Command to activate Siri 00:16:14 ChatGPT and Perplexity are allowed to use CarPlay now 00:18:00 Apple's App Entitlements 00:19:26 Mac Geek Gab iOS App adds HLS video 00:22:35 David-QT-Use an LLM to troubleshoot your email 00:24:33 Re-assign your LLM, re-task it. Treat your LLM like a brainstorming assistant. Claude CoWork (and Claude Code) 00:29:45 Let your agents check one another 00:33:16 Have your LLM create skills for you Reviews 00:36:26 Jamcycler-MGG Review-My Favorite Podcast Sponsors 00:38:02 SPONSOR: Keeper. Right now, Keeper is offering our listeners 60% off personal and family plans at https://Keepersecurity.com/MGG. This offer is only for podcast listeners! 00:39:41 SPONSOR: Shopify. In 2026, stop waiting and start selling with Shopify. Sign up for your one-dollar-per-month trial and start selling today at https://Shopify.com/MGG 00:41:28 SPONSOR: Gusto. Get three months free when you run your first payroll when you start at https://gusto.com/MGG Your Questions Answered and Tips Shared! 00:43:07 Gino CO-How can I easily disconnect my AirPods from my Mac? ToothFairy Or Control Center Or Sound Menu Opt-plus-Mute/Volume keys will bring you to System Settings Sound Pane 00:49:09 Paul-Best Method for Screen Sharing? Jump Desktop Tailscale 00:55:04 Barb-How can I stop from accidentally toggling my iPhone ringer on and off? 00:57:13 Roger-What to do about Comcast email going away? Cloudflare Registrar Namecheap GoDaddy Cool Stuff Found 01:02:21 DLH-CSF-Bartender 6 / Pro / Mega 01:04:53 ATC/PP-CSF-Syntech Apple Vision Pro Case 01:09:25 CSF-Mila Air3 Purifier 01:11:37 n-Greg-CSF-Honeywell Allergen Plus HEPA Large Room Air Purifier 01:12:41 Some love for Eufy Eufy Lawnmower Eufy Vacuums Eufy Doorbells Homebridge Home Assistant 01:24:36 MGG 1142 Outtro MGG Monthly Giveaway Bandwidth Provided by CacheFly Pilot Pete's Aviation Podcast: So There I Was (for Aviation Enthusiasts) The Debut Film Podcast – Adam's new podcast! Dave's Business Brain (for Entrepreneurs) and Gig Gab (for Working Musicians) Podcasts MGG Merch is Available! Mac Geek Gab iOS app Mac Geek Gab YouTube Page Mac Geek Gab Live Calendar This Week's MGG Premium Contributors MGG Apple Podcasts Reviews feedback@macgeekgab.com 224-888-GEEK Active MGG Sponsors and Coupon Codes List BackBeat Media Podcast Network